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Comparaison du suivi de l’asthme à distance et face à face

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Referencias

References to studies included in this review

Chan 2007 {published and unpublished data}

Callahan CW. Asthma in‐home monitoring (AIM) trial. http://www.clinicaltrials.gov/ct/show/NCT00282516 (accessed 14 August 2015).
Callahan CW, Chan DS, Hatch‐Pigott G, Manning N, Proffitt L, Lawless A, et al. One year randomized controlled trial of home telemonitoring of children with persistent asthma using store‐and‐forward technology vs office‐based care [Abstract]. American Thoracic Society 2005 International Conference; May 20‐25; San Diego, California. 2005:[C47] [Poster: A21].
Chan DS, Callahan CW, Hatch‐Pigott VB, Lawless A, Proffitt HL, Manning NE, et al. Internet‐based home monitoring and education of children with asthma is comparable to ideal office‐based care: results of a 1‐year asthma in‐home monitoring trial. Pediatrics 2007;119(3):569‐78.
Chan DS, Callahan CW, Sheets SJ, Moreno CN, Malone FJ. An Internet‐based store‐and‐forward video home telehealth system for improving asthma outcomes in children. American Journal of Health‐System Pharmacy 2003;60(19):1976‐81.

Gruffydd‐Jones 2005 {published and unpublished data}

Gruffydd‐Jones K, Hollinghurst S, Ward S, Taylor G. Targeted routine asthma care in general practice using telephone triage. British Journal of General Practice 2005;55(521):918‐23.
Gruffydd‐Jones K, Ward S. Targeted routine asthma care in general practice using the telephone triage [Abstract]. European Respiratory Journal. 2005; Vol. 26:Abstract No. 4264.

Hashimoto 2011 {published and unpublished data}

Hashimoto S, Ten Brinke A, Roldaan AC, van Veen IH, Moller GM, Sont JK, et al. Monitoring exhaled Nitric Oxide (FENO) To Tailor The Lowest Effective Dose Of Oral Corticosteroids In Severe Asthma (MONOSA‐Study) [Abstract]. American Journal of Respiratory and Critical Care Medicine. 2010; Vol. 181:A3721.
Hashimoto S, Ten Brinke A, Roldaan AC, van Veen IH, Möller GM, Sont JK, et al. Internet‐based tapering of oral corticosteroids in severe asthma: A pragmatic randomised controlled trial. Thorax 2011;66(6):514‐20.

Pinnock 2003 {published and unpublished data}

Pinnock H, Bawden R, Proctor S, Wolfe S, Scullion J, Price D, et al. Accessibility, acceptability, and effectiveness in primary care of routine telephone review of asthma: pragmatic, randomised controlled trial. BMJ 2003;326(7387):477‐9.
Pinnock H, Sheikh A, Bawden R, Proctor S, Wolfe S, Scullion J, et al. A randomised controlled trial comparing telephone review with fact to face consultations in the management of adult asthmatics in UK primary care. Primary Care Respiratory Journal 2002;11:68‐9.
Pinnock H, Sheikh A, Bawden R, Proctor S, Wolfe S, Scullion J, et al. Cost effectiveness of telephone vs face to face consultations for annual asthma review: randomised controlled trial in UK primary care [Abstract]. European Respiratory Journal. 2003; Vol. 22:Abstract No. 2250.
Pinnock H, Sheikh A, Bawden R, Proctor S, Wolfe S, Scullion J, et al. Telephone vs. face to face consultations in the management of adult asthmatics in UK primary care: a randomised controlled trial [Abstract]. European Respiratory Society 12th Annual Congress; 2002 Sep 14‐18; Stockholm. 2002:Abstract No. P593.

Pinnock 2007a {published and unpublished data}

Pinnock H, Adlem L, Gaskin S, Harris J, Snellgrove C, Sheikh A. Accessibility, clinical effectiveness, and practice costs of providing a telephone option for routine asthma reviews: phase IV controlled implementation study. British Journal of General Practice 2007;57(542):714‐22.
Pinnock H, Adlem L, Gaskin S, Snellgrove C, Harris J, Sheikh A. Impact on access of providing a telephone option for primary care asthma reviews: controlled implementation study [Abstract]. European Respiratory Journal. 2005; Vol. 26:Abstract No. 1711.
Pinnock H, Madden V, Snellgrove C, Sheikh A. Telephone or surgery asthma reviews? Preferences of participants in a primary care randomised controlled trial. Primary Care Respiratory Journal 2005;14:42‐6.
Pinnock H, McKenzie L, Price D, Sheikh A. Cost‐effectiveness of telephone or surgery asthma reviews: economic analysis of a randomised controlled trial. British Journal of General Practice 2005;55(511):119‐24.
Pinnock H, Norman C, Bowden K, Sheikh A. Impact on asthma morbidity and patient enablement of providing a telephone option for primary care asthma reviews: phase IV controlled implementation study [Abstract]. Primary Care Respiratory Journal. 2006; Vol. 15:187.
Pinnock H, Norman C, Bowden K, Sheikh A. Impact on asthma morbidity and patient enablement of providing a telephone option in a primary care asthma review service controlled implementation study [Abstract]. European Respiratory Journal. 2006; Vol. 28:571s [3361].

Rasmussen 2005 {published and unpublished data}

Phanareth K, Rasmussen L, Nolte H, Backer V. Using the Internet as a tool for the management of asthma disease. European Respiratory Journal 2002;20:54s.
Rasmussen L M, Phanareth K, Nolte H, Backer V. Can internet‐based monitoring of asthma maintain asthma control over a 12 month period [Abstract]. European Respiratory Journal. 2006; Vol. 28:122s [783].
Rasmussen L, Backer V, Phanareth K. Preliminary data from a clinical trial: does use of an internet based asthma‐monitoring tool increase lung function and asthma control? [Abstract]. American Thoracic Society 99th International Conference; 2003 May 16‐21; Seattle. 2003:A102 Poster D6.
Rasmussen L, Phanareth K, Nolte H, Backer V. A long term randomized clinical study of 300 asthmatics. An internet based asthma monitoring tool improves quality of life significantly [Abstract]. European Respiratory Journal. 2004; Vol. 24:261s.
Rasmussen L, Phanareth K, Nolte H, Backer V. Preliminary data from a clinical trial: An Internet based asthma monitoring tool increases lung function and decrease airway hyperresponsiveness [Abstract]. European Respiratory Journal. 2003; Vol. 22:Abstract No: [3351].
Rasmussen LM, Phanareth K, Nolte H, Backer V. Can internet‐based management improve asthma control? A long term randomised clinical study of 300 asthmatics [Abstract]. European Respiratory Journal. 2005; Vol. 26:Abstract No. 400.
Rasmussen LM, Phanareth K, Nolte H, Backer V. Internet‐based monitoring of asthma: a long‐term, randomized clinical study of 300 asthmatic subjects. Journal of Allergy and Clinical Immunology 2005;115(6):1137‐42.

References to studies excluded from this review

ACTRN12606000400561 {published data only}

ACTRN12606000400561. Improving childhood asthma management through a telemedicine monitoring network. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12606000400561 (accessed 2 June 2015).
Xu C, Jackson M, Scuffham PA, Wootton R, Simpson P, Whitty J, et al. A randomized controlled trial of an interactive voice response telephone system and specialist nurse support for childhood asthma management. Journal of Asthma 2010;47(7):768‐73.

Ahmed 2011 {published data only}

Ahmed S, Bartlett S J, Ernst P, Pare G, Kanter M, Perreault R, et al. Effect of a web‐based chronic disease management system on asthma control and health‐related quality of life: Study protocol for a randomized controlled trial. Trials 2011;12:260.
Ahmed S, Bartlett SJ, Ernst P, Lin CJ, Pare G, Perreault R, et al. My asthma portal: preliminary results of a web‐based self management intervention [Abstract]. American Journal of Respiratory and Critical Care Medicine. 2011; Vol. 183:A5321.

Andersen 2007 {published data only}

Andersen UM. Does a www‐based interactive computer program change asthma outcomes, quality of life and asthma knowledge [Abstract]. Journal of Allergy and Clinical Immunology. 2007; Vol. 119:S9 [34].

Apter 2000 {published data only}

Apter A. Inhaled steroid adherence in moderate and severe asthma. CRISP (Computer Retrieval of Information on Scientific Projects)2000; Vol. 31 August 2005.

Apter 2015 {published data only}

Apter AJ, Bryant‐Stephens, Morales KH, Wan F, Hardy S, Reed‐Wells S, et al. Using IT to improve access, communication, and asthma in African American and Hispanic/Latino Adults: Rationale, design, and methods of a randomized controlled trial. Contemporary Clinical Trials 2015;44:119‐28.

Araujo 2012 {published data only}

Araujo L, Jacinto T, Moreira A, Castel‐Branco M G, Delgado L, Costa‐Pereira A, et al. Clinical efficacy of web‐based versus standard asthma self‐management. Journal of Investigational Allergology and Clinical Immunology 2012;22(1):28‐34.

Baptist 2013 {published data only}

Baptist AP, Ross JA, Yang Y, Song PX, Clark NM. A randomized controlled trial of a self‐regulation intervention for older adults with asthma. Journal of the American Geriatrics Society 2013;61(5):747‐53.

Barbanel 2003 {published data only}

Barbanel D, Eldridge S, Griffiths C. Can a self‐management programme delivered by a community pharmacist improve asthma control? A randomised trial. Thorax 2003;58(10):851‐4.

Bateman 2000 {published data only}

Bateman ED, Kruger MJ. A computer‐based home‐monitoring disease management programme, pulmassist plus® (PAP), achieves significant improvement in quality of life, and healthcare costs in moderate and severe asthma [Abstract]. American Journal of Respiratory and Critical Care Medicine. 2000; Vol. 161:A457.

Bender 2001 {published data only}

Bender BG. Assessment mode and validity of self‐reports in children. CRISP (Computer Retrieval of Information on Scientific Projects)2001; Vol. 31 January 2005 End date.

Bender 2007 {published data only}

Bender BG, Bartlett SJ, Rand CS, Turner C, Wamboldt FS, Zhang L. Impact of interview mode on accuracy of child and parent report of adherence with asthma‐controller medication. Pediatrics 2007;120(3):e471‐7.

Bender 2010 {published data only}

Bender BG, Apter A, Bogen DK, Dickinson P, Fisher L, Wamboldt FS, et al. Test of an interactive voice response intervention to improve adherence to controller medications in adults with asthma. Journal of the American Board of Family Medicine 2010;23(2):159‐65.

Boyd 2014 {published data only}

Boyd MJ, Elliott RA, Barber N, Mehta R, Waring J, Chuter A, et al. The impact of the New Medicines Service (NMS) in England on patients adherence to their medicines. International Journal of Pharmacy Practice 2014;22(S2):66.

Burbank 2012 {published data only}

Burbank A, Rettiganti M, Brown RH, Jones S, Perry TT. Asthma education via telemedicine: Effects on asthma knowledge and self‐efficacy [Abstract]. Journal of Investigative Medicine. 2012; Vol. 60:401.

Burkhart 2002 {published data only}

Burkhart P. Promoting Children's Adherence to Asthma Self‐Management. CRISP (Computer Retrieval of Information on Scientific Projects)2002; Vol. 31 July 2004 End date.

Bynum 2001 {published data only}

Bynum A, Hopkins D, Thomas A, Copeland N, Irwin C. The effect of telepharmacy counseling on metered‐dose inhaler technique among adolescents with asthma in rural Arkansas. Telemedicine Journal and E‐Health 2001;7(3):207‐17.

Chandler 1990 {published data only}

Chandler MH, Clifton GD, Louis BA, Coons SJ, Foster TS, Phillips BA. Home monitoring of theophylline levels: a novel therapeutic approach. Pharmacotherapy 1990;10(4):294‐300.

Chatkin 2006 {published data only}

Chatkin JM, Blanco DC, Scaglia N, Wagner MB, Fritscher CC. Impact of a low‐cost and simple intervention in enhancing treatment adherence in a Brazilian asthma sample. Journal of Asthma 2006;43(4):263‐6.

Chen 2013 {published data only}

Chen SH, Huang JL, Yeh KW, Tsai YF. Interactive support interventions for caregivers of asthmatic children. Journal of Asthma 2013;50(6):649‐57.

Cicutto 2009 {published data only}

Cicutto L, Ashby MN, Feldman D. Telephone intervention based strategies to increase the completion and use of asthma action plans for adults with asthma [Abstract]. American Thoracic Society International Conference; 2009 May 15‐20; San Diego. 2009:A1033.

Clark 2007 {published data only}

Clark NM, Gong ZM, Wang SJ, Lin X, Bria WF, Johnson TR. A randomized trial of a self‐regulation intervention for women with asthma. Chest 2007;132(1):88‐97.

Clarke 2014 {published data only}

Clarke SA, Calam R, Morawska A, Sanders M. Developing web‐based Triple P 'Positive Parenting Programme' for families of children with asthma. Child: Care, Health and Development 2014;40(4):492‐7.

Claus 2004 {published data only}

Claus R, Michael H, Josef L, Jan‐Torsten T, Marion S. Internet based patient education evaluation of a new tool for young asthmatics [Abstract]. European Respiratory Society 14th Annual Congress; 2004 Sep 3‐7; Glasgow. 2004; Vol. 24:383s.

Cruz‐Correia 2007 {published data only}

Cruz‐Correia R, Fonseca J, Lima L, Araujo L, Delgado L, Castel‐Branco MG, et al. A comparison of web‐based and paper‐based self management tools for asthma: Patients' opinions and quality of data in a randomised crossover study. Journal on Information Technology in Healthcare 2007;5:357‐71.
Cruz‐Correia R, Fonseca J, Lima L, Araújo L, Delgado L, Castel‐Branco MG, et al. Web‐based or paper‐based self‐management tools for asthma‐‐patients' opinions and quality of data in a randomized crossover study. Studies in Health Technology and Informatics 2007;127:178‐89.

de Jongste 2008 {published data only}

de Jongste JC, Carroro S, Hop WC, Baraldi E. Daily exhaled nitric oxide telemonitoring in the management of childhood asthma [Abstract]. American Thoracic Society International Conference; 2008 May 16‐21; Toronto. 2008:Poster #908.

Deschildre 2012 {published data only}

Deschildre A, Béghin L, Salleron J, Iliescu C, Thumerelle C, Santos C, et al. Home telemonitoring (forced expiratory volume in 1 s) in children with severe asthma does not reduce exacerbations. European Respiratory Journal 2012;39(2):290‐6.

De Vera 2014 {published data only}

De Vera MA, Sadatsafavi M, Tsao NW, Lynd LD, Lester R, Gastonguay L, et al. Empowering pharmacists in asthma management through interactive SMS (EmPhAsIS): study protocol for a randomized controlled trial. Trials 2014;15:488.

Donald 2008 {published data only}

Donald KJ, McBurney H, Teichtahl H, Irving L. A pilot study of telephone based asthma management. Australian Family Physician 2008;37(3):170‐3.

Dwinger 2013 {published data only}

Dwinger S, Dirmaier J, Herbarth L, König HH, Eckardt M, Kriston L, et al. Telephone‐based health coaching for chronically ill patients: study protocol for a randomized controlled trial. Trials 2013;14:337.

Eakin 2012 {published data only}

Eakin MN, Rand CS, Bilderback A, Bollinger ME, Butz A, Kandasamy V, et al. Asthma in Head Start children: effects of the Breathmobile program and family communication on asthma outcomes. Journal of Allergy and Clinical Immunology 2012;129(3):664‐70.

Finkelstein 2005 {published data only}

Finkelstein J. Inhaled steroid adherence in moderate & severe asthma. CRISP (Computer Retrieval of Information on Scientific Projects)2000; Vol. 31 July 2005 End date.
Finkelstein J, Joshi A, Amelung P. Evaluation of home telemanagement in adult asthma patients [Abstract]. Journal of Allergy and Clinical Immunology 2005;115(2):S63.
Finkelstein J, Joshi A, Arora M, Amelung P. Impact of home telemanagement in adult asthma [Abstract]. American Thoracic Society 2005 International Conference; May 20‐25; San Diego. 2005:A40; Poster: G14.

Fonseca 2006 {published data only}

Fonseca JA, Costa‐Pereira A, Delgado L, Fernandes L, Castel‐Branco MG. Asthma patients are willing to use mobile and web technologies to support self‐management. Allergy 2006;61( 3 ):389‐90.

Foster 2014 {published data only}

Foster J, Smith L, Usherwood T, Sawyer S, Reddel H. Electronic reminders improve adherence with preventer inhalers in Australian primary care patients [Abstract]. Annual Scientific Meetings of the Thoracic Society of Australia and New Zealand and the Australian and New Zealand Society of Respiratory Science; 2014 April 4‐9; Adelaide. 2014:24‐34.

Friedman 1999 {published data only}

Friedman R. Impact of a telecommunication system in childhood asthma. CRISP (Computer Retrieval of Information on Scientific Projects)1999; Vol. 29 September 2004 End date.

Garbutt 2010 {published data only}

Garbutt JM, Banister C, Highstein G, Sterkel R, Epstein J, Bruns J, et al. Telephone coaching for parents of children with asthma: impact and lessons learned. Archives of Pediatrics and Adolescent Medicine 2010;164(7):625‐30.
Swerczek LM, Banister C, Bloomberg GR, Bruns JM, Epstein J, Highstein GR, et al. A telephone coaching intervention to improve asthma self‐management behaviors. Pediatric Nursing 2013;39(3):125‐130, 145.

Guendelman 2002 {published data only}

Guendelman S, Meade K, Benson M, Chen YQ, Samuels S. Improving asthma outcomes and self‐management behaviors of inner‐city children: a randomized trial of the Health Buddy interactive device and an asthma diary. Archives of Pediatrics and Adolescent Medicine 2002;156(2):114‐20.
Guendelman S, Meade K, Chen YQ, Benson M. Asthma control and hospitalizations among inner‐city children: results of a randomized trial. Telemedicine Journal and e‐Health 2004;10(Suppl 2):S‐6‐14.

Gustafson 2012 {published data only}

Gustafson D, Wise M, Bhattacharya A, Pulvermacher A, Shanovich K, Phillips B, et al. The effects of combining web‐based eHealth with telephone nurse case management for pediatric asthma control: A randomized controlled trial. Journal of Medical Internet Research 2012;14(4):e101.
Wise M, Gustafson DH, Sorkness CA, Molfenter T, Staresinic A, Meis T, et al. Internet telehealth for pediatric asthma case management: integrating computerized and case manager features for tailoring a web‐based asthma education program. Health Promotion Practice 2007;8(3):282‐91.

Halterman 2012 {published data only}

Halterman JS, Fagnano M, Montes G, Fisher S, Tremblay P, Tajon R, et al. The school‐based preventive asthma care trial: results of a pilot study. Journal of Pediatrics 2012;161(6):1109‐1115.e1.
Halterman JS, Sauer J, Fagnano M, Montes Gu, Fisher S, Tremblay P, et al. Working toward a sustainable system of asthma care: development of the School‐Based Preventive Asthma Care Technology (SB‐PACT) trial. Journal of Asthma 2012;49(4):395‐400.

Huang 2013 {published data only}

Huang JL, Chen SH, Yeh KW. Health outcomes, education, healthcare delivery and quality‐3056. Constructed supporting program improves asthma treatment outcomes in children. World Allergy Organization Journal 2013;6(suppl 1):P224.

Jan 2007 {published data only}

Jan RL, Wang JY, Huang MC, Tseng SM, Su HJ, Liu LF, et al. An internet‐based interactive tele‐monitoring system for improving childhood asthma outcomes in Taiwan. Telemedicine Journal and e‐Health 2007;13(3):257‐68.

Janevic 2012 {published data only}

Janevic MR, Sanders GM, Thomas LJ, Williams DM, Nelson B, Gilchrist E, et al. Study protocol for Women of Color and Asthma Control: a randomized controlled trial of an asthma‐management intervention for African American women. BMC Public Health 2012;12:76.

Jerant 2003 {published data only}

Jerant A. A Randomized Trial of Home Self‐Efficacy Enhancement. CRISP (Computer Retrieval of Information on Scientific Projects)2003; Vol. 31 December 2007 End date.

Kattan 2006 {published data only}

Kattan M, Crain EF, Steinbach S, Visness CM, Walter M, Stout JW, et al. A randomized clinical trial of clinician feedback to improve quality of care for inner‐city children with asthma. Pediatrics 2006;117(6):e1095‐103.

Khan 2003 {published data only}

Khan MSR, O'Meara M, Stevermuer TL, Henry RL. Randomized controlled trial of asthma education after discharge from an emergency department. Journal of Paediatrics and Child Health 2004;40(12):674‐7.
Khan S, O'Meara M, Hurst T, Henry RL. Randomised controlled trial of asthma education by telephone after discharge from an emergency department [Abstract]. European Respiratory Journal 2003;22:Abstract No: [P2294].

Kojima 2005 {published data only}

Kojima N, Takeda Y, Akashi M, Kamiya T, Matsumoto M, Ohya Y, et al. Interactive education during summer camp for children with asthma improved adherence of self‐management [Abstract]. Journal of Allergy and Clinical Immunology 2005;115:S115.

Kokubu 1999 {published data only}

Kokubu F, Nakajima S, Ito K, Makino S, Kitamura S, Fukuchi Y, et al. [Hospitalization reduction by an asthma tele‐medicine system]. Arerugi [Allergy] 2000;49(1):19‐31.
Kokubu F, Suzuki H, Sano Y, Kihara N, Adachi M. [Tele‐medicine system for high‐risk asthmatic patients]. Arerugi [Allergy] 1999;48(7):700‐12.

Lam 2011 {published data only}

Lam A. Practice innovations: delivering medication therapy management services via Videoconference interviews. Consultant Pharmacist 2011;26(10):764‐74.

Liu 2011 {published data only}

Liu WT, Huang CD, Wang CH, Lee KY, Lin SM, Kuo HP. A mobile telephone‐based interactive self‐care system improves asthma control. European Respiratory Journal 2011;37(2):310‐7.
Liu WT, Wang CH, Huang CD, Kuo HP, Liu WT, Kuo HP. A novel mobile phone‐based self‐care system improves asthma control [Abstract]. American Thoracic Society International Conference; 2007 May 18‐23; San Francisco. 2007:[A93].

Lobach 2013 {published data only}

Lobach DF, Kawamoto K, Anstrom KJ, Silvey GM, Willis JM, Johnson FS, et al. A randomized trial of population‐based clinical decision support to manage health and resource use for Medicaid beneficiaries. Journal of Medical Systems 2013;37(1):9922.

McCowan 2001 {published data only}

McCowan C, Neville RG, Ricketts IW, Warner FC, Hoskins G, Thomas GE. Computer assisted assessment and management of patients with asthma. American Thoracic Society 97th International Conference; 2001 May 18‐23; San Francisco. 2001.

McPherson 2006 {published data only}

Glazebrook C, McPherson A, Forster D, James C, Crook I, Smyth A. The asthma files: randomised controlled trial of interactive multimedia program to promote self‐management skills in children [Abstract]. American Thoracic Society 100th International Conference; 2004 May 21‐26; Orlando. 2004:D92 Poster 506.
McPherson AC, Glazebrook C, Forster D, James C, Smyth A. A randomized, controlled trial of an interactive educational computer package for children with asthma. Pediatrics 2006;117(4):1046‐54.

Merchant 2013 {published data only}

Merchant R, Inamdar R, Quade R, Van Sickle D, Maenner M, Patmas M. Interim results from a randomized, controlled trial of remote monitoring of inhaled bronchodilator use on asthma control and management [Abstract]. American College of Chest Physicians Annual Meeting; 26‐31 October 2013; Chicago, Illinois. 2013; Vol. 144:71A.

Morrison 2014 {published data only}

Morrison D, Wyke S, Thomson NC, McConnachie A, Agur K, Saunderson K, et al. A Randomized trial of an Asthma Internet Self‐management Intervention (RAISIN): study protocol for a randomized controlled trial. Trials 2014;15:185.

Murphy 2001 {published data only}

Murphy JC. Telemedicine offers new way to manage asthma. American Journal of Health‐system Pharmacy 2001;58(18):1693, 1696.

NCT00149474 {published data only}

NCT00149474. Peak flow monitoring in older adults with asthma. https://clinicaltrials.gov/NCT00149474 (accessed 2 June 2015).

NCT00232557 {published data only}

NCT00232557. Telecommunications system in asthma. www.clinicaltrials.gov/NCT00232557 (accessed 14 August 2015).

NCT00411346 {published data only}

NCT00411346. Patient research In self‐management of asthma (PRISMA). https://clinicaltrials.gov/NCT00411346 (accessed 2 June 2015).

NCT00562081 {published data only}

NCT00562081. The virtual asthma clinic. https://clinicaltrials.gov/NCT00562081 (accessed 2 June 2015).

NCT00910585 {published data only}

NCT00910585. Coaching in childhood asthma. https://clinicaltrials.gov/NCT00910585 (accessed 2 June 2015).

NCT00964301 {published data only}

NCT00964301. Telemedicine education for rural children with asthma. https://clinicaltrials.gov/NCT00964301 (accessed 2 June 2015).

NCT01117805 {published data only}

NCT01117805. Women of color and asthma control. https://clinicaltrials.gov/NCT01117805 (accessed 2 June 2015).

Neville 1996 {published data only}

Neville RG. Computer assisted assessment and management of patients with asthma. Assessment for a computer assisted assessment and management programme for asthma care. The aim will be to assess if the program will allow clinicians to look at possible future morbidity for each of their patients and with this data discuss and recommend changes in their management of their patient1996; Vol. 30 September 1998 End date:Publications. Healthcare evaluation.

Osman 1997 {published data only}

Osman L. A controlled study evaluating relative benefits of two types of review after an A&E attendance. CRISP (Computer Retrieval of Information on Scientific Projects)1997; Vol. 01 March 2001 End date.
Osman L. A randomised controlled trial of benefits of specialist review or telephone follow up after an Accident & Emergency attendance for asthma. http://www.isrctn.com/ISRCTN11122844 (accessed 14 August 2015).

Ostojic 2005 {published data only}

Ostojic V, Cvoriscec B, Ostojic SB, Reznikoff D, Stipic‐Markovic A, Tudjman Z. Improving asthma control through telemedicine: A study of short‐message service. Telemedicine Journal and e‐Health 2005;11(1):28‐35.
Ostojic V, Cvoriscec B, Ostojic SB, Tudjman Z, Stipic‐Markovic A. Using of short message service (SMS) for long‐term management of asthmatic patients [Abstract]. European Respiratory Society 12th Annual Congress; 2002 Sep 14‐18; Stockholm. 2002:Abstract number: P1003.

Pedram 2012 {published data only}

Pedram RS, Piroozmand N, Zolfaghari M, Kazemnejad A, Firoozbakhsh S. Education of how‐to‐use peak flow meter and following up via SMS on asthma self‐management [Farsi]. Journal of HAYAT 2012;18(4):19‐27.

Peruccio 2005 {published data only}

Peruccio D, Bauer B, Delaronde S. Improving asthma treatment and quality of life in a managed care population [Abstract]. Journal of Allergy and Clinical Immunology 2005;115:S63.

Petrie 2012 {published data only}

Petrie KJ, Perry K, Broadbent E, Weinman J. A text message programme designed to modify patients' illness and treatment beliefs improves self‐reported adherence to asthma preventer medication. British Journal of Health Psychology 2012;17(1):74‐84.

Prabhakaran 2009 {published data only}

Prabhakaran L, Chee J, Chua K C, Mun WW. The use of text messaging to improve asthma control: a study of short message service (SMS) [Abstract]. Respirology 2009;14:A217 [PD 10‐01].
Prabhakaran L, Chee WY, Chua KC, Abisheganaden J, Wong M. The use of text messaging to improve asthma control: a pilot study using the mobile phone short messaging service (SMS). Journal of Telemedicine and Telecare 2010;16(5):286‐90.

Price 2007 {published data only}

Price D. A validation of the UK English language Asthma Control Test (ACT) for internet use among adults with asthma. East Norfolk and Waveney Research Consortium (Norfolk & Norwich UH/ Norwich PCT/James Paget/NWMHP)2007; Vol. 1 January 2008:Ongoing.
Price D. Validating asthma control test on the internet. Suffolk and Norfolk Research and Development Consortium (S.A.N.D.)2007; Vol. 30 December 2007:Ongoing.

Raat 2007 {published data only}

Raat H, Mangunkusumo RT, Mohangoo AD, Juniper EF, Van Der Lei J. Internet and written respiratory questionnaires yield equivalent results for adolescents. Pediatric Pulmonology 2007;42(4):357‐61.

Rand 2005 {published data only}

NCT00233233. Assessment mode and validity of self‐reports in adults. https://clinicaltrials.gov/ct2/show/NCT00233233 (accessed 14 August 2015).
Rand CS. Adherence intervention for minority children with asthma. CRISP (Computer Retrieval of Information on Scientific Projects)2000; Vol. 31 March 2005 End date.

Ricci 2001 {published data only}

Ricci A, Barosi G, Gelmetti A, Esposito R, Tzialla C, Napoli A, et al. A system of teleassistance for in‐house monitoring respiratory function in children with bronchial asthma. Minerva Pediatrica 2001;53(5):466‐7.

Rikkers‐Mutsaerts 2012 {published data only}

Rikkers‐Mutsaerts E, Winters AE, Bakker MJ, van Stel HF, van der Meer V, de Jongste JC, et al. Internet‐based self‐management compared with usual care in adolescents with asthma: A randomised controlled trial [Abstract]. European Respiratory Society 20th Annual Congress; 2010 Sep 18‐22; Barcelona. 2010:[5396].
Rikkers‐Mutsaerts ER, Winters AE, Bakker MJ, van Stel HF, van der Meer V, de Jongste JC, et al. Internet‐based self‐management compared with usual care in adolescents with asthma: a randomized controlled trial. Pediatric Pulmonology 2012;47(12):1170‐9.

Rosenzweig 2008 {published data only}

Rosenzweig JC, Williams AE, Kite A, Yang M, Kosinski M. Reliabilty and validity of the asthma control test (ACT) paper and telephone formats [Abstract]. European Respiratory Society 18th Annual Congress; 2008 Oct 3‐7; Berlin. 2008:[P3501].

Ryan 2012 {published data only}

Ryan D, Pinnock H, Amanda L, Lionel T, Sheikh A, Musgrave S, et al. Can mobile phone technology improve asthma control? A randomised trial [Abstract]. European Respiratory Society 20th Annual Congress; 2010 Sep 18‐22; Barcelona. 2010:[2138].
Ryan D, Pinnock H, Lee AJ, Tarassenko L, Ayansina D, Musgrave S, et al. Can your mobile phone help your asthma: preliminary results [Abstract]. Primary Care Respiratory Journal 2010;19:A15 [54].
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Ryan D, Pinnock H, Tarassenko L, Lee A, Sheikh A, Price D. Can your mobile phone improve your asthma? [Abstract]. Thorax 2010;65:S135.
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van den Berg NJ, ten Have WH, Bindels PJE, van der Palen J, van Aalderen WMC. Is the availability of a 24 hour asthma‐telephone useful in the implementation of asthma treatment guidelines for children aged 6‐16 years, among general practitioners? [Abstract]. European Respiratory Journal 2002;20:329s.

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van der Meer V, Bakker MJ, Rabe KF, Sterk PJ, Kievit J, Assendelft WJJ, et al. Improved quality of life by internet based self management versus usual care in asthma a randomized controlled trial [Abstract]. European Respiratory Society 18th Annual Congress; 2008 Oct 3‐7; Berlin. 2008:[1372].
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van der Meer V, Bakker MJ, van den Hout WB, Rabe KF, Sterk PJ, Kievit J, et al. Internet‐based self‐management plus education compared with usual care in asthma: A randomized trial. Annals of Internal Medicine 2009;151(2):110‐20.
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Wiecha 2007 {published data only}

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References to other published versions of this review

Kew 2015b

Kew KM, Cates CJ. Remote versus face‐to‐face asthma reviews. Cochrane Database of Systematic Reviews 2015, Issue 5. [DOI: 10.1002/14651858.CD011715]

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Chan 2007

Methods

Study design: 12 month parallel RCT

Setting: paediatric clinic at Tripler Army Medical Center, Hawaii

Enrolment began in March 2003 and ended in December 2003. Participant data collection ended with the last participant’s final visit in February 2005

Participants

Population: 120 children were randomised to the virtual group (60) or the office‐based group (60)

Baseline characteristics:

mean age, years (SD): remote 10.2 (3.1); face‐to‐face 9.0 (3.0)

% male: remote 61.7; face‐to‐face 63.3

% predicted FEV1 (SD): remote 104.1 (19.9); face‐to‐face 96.8 (13.0)

Inclusion criteria: children aged 6 to 17 years with persistent asthma, dependent of active duty or retired USA military personnel, not moving from Oahu for 12 months after entry into the study, ability to receive cable modem connections in the home, willingness to complete questionnaires and monitoring

Exclusion criteria: none stated

Interventions

Intervention: virtual group participants received computers, internet connections and in‐home internet‐based case management and received education through the study website.

Control: office‐based group patients received traditional in‐person education and case management.

Outcomes

Control medication use, daily symptom diary, peak flow, patient and caregiver AQLQ, service utilisation, asthma knowledge retention

Measured at 2 weeks, 6 weeks, 3 months, 6 months and 12 months

Notes

Funding: grant from the US Army Medical Research Acquisition Activity
ID number(s): N/A

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

"patients underwent block randomisation with a table of random numbers".

Allocation concealment (selection bias)

Unclear risk

The study did not provide any details.

Blinding of participants and personnel
Objective outcomes

Low risk

It would not have been possible to blind participants and personnel to allocation due to the nature of the intervention. However, participants and personnel being aware of group allocation is unlikely to have affected the results for the objective outcomes (exacerbations and adverse events).

Blinding of participants and personnel
Subjective outcomes

High risk

Participants and personnel being aware of group allocation could have affected their scores on subjective outcomes such as those measured on self‐report scales (Asthma Control Questionnaire (ACQ) and AQLQ).

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

It is possible to blind outcome assessment but the study did not provide any specific details of whether this was done.

Incomplete outcome data (attrition bias)
All outcomes

High risk

Dropout was much higher in the virtual group (23%) than the office group (8%). The study authors did not account for non‐adherent participants and other dropouts in the analysis.

Selective reporting (reporting bias)

Low risk

Outcomes were well reported. There was no protocol registration available to check all pre‐specified measures were included but there was no evidence of selective reporting.

Other bias

Low risk

We did not note any other possible sources of bias.

Gruffydd‐Jones 2005

Methods

Study design: 12 month parallel RCT

Setting: 1 practice in England, UK

Participants were recruited between December 2002 and March 2003

Participants

Population: 194 people were randomised to the telephone group (97) or the clinic group (97)

Baseline characteristics:

mean age, years (standard deviation (SD)): remote 50.8 (15.4); face‐to‐face 49.6 (16.1)

% male: remote 51.5; face‐to‐face 39.2

% predicted forced expiratory volume in one second (FEV1) (SD): not reported

Inclusion criteria: adults with asthma aged 17 to 70 years and on the practice asthma list

Exclusion criteria: housebound, did not possess a telephone or were unwilling to give informed consent

Interventions

Intervention: participants were contacted by telephone at 6‐monthly intervals by 1 of 2 trained asthma nurses. The participant was then asked the RCPs ‘three questions’ plus two extra questions related to a high risk of asthma death. The nurse formulated an individualised asthma action plan with the participant, with advice on what to do if asthma control deteriorated.

Control: participants received usual care by 6‐monthly check up via a dedicated asthma appointment with a diploma‐level asthma nurse. Symptom scores, inhaler technique and peak flow measurements were checked and all participants issued with an asthma action plan.

Outcomes

ACQ, mini‐AQLQ, mild and severe exacerbations, healthcare costs, clinical time, inhaler use, unscheduled healthcare visits all given per patient year.

Measured at baseline, 6 months and 12 months

Notes

Funding: grant from Asthma UK
ID number(s): N/A

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The study randomised participants using a random number tables on a 1 to 1 basis and stratified according to severity.

Allocation concealment (selection bias)

Unclear risk

The study did not provide any details.

Blinding of participants and personnel
Objective outcomes

Low risk

It would not have been possible to blind participants and personnel to allocation due to the nature of the intervention. However, participants and personnel being aware of group allocation is unlikely to have affected the results for the objective outcomes (exacerbations and adverse events).

Blinding of participants and personnel
Subjective outcomes

High risk

Participants and personnel being aware of group allocation could have affected their scores on subjective outcomes such as those measured on self‐report scales (ACQ and AQLQ).

Blinding of outcome assessment (detection bias)
All outcomes

High risk

"assessors were not blinded to the interventions due to limited resources".

Incomplete outcome data (attrition bias)
All outcomes

High risk

"There were 20 withdrawals in the control group after the first visit, mainly due to non‐attendance and 6 in the telephone group, one of which was due to non‐attendance. As this trial is as real‐world as possible the fact that there was a high non‐attendance rate was taken account of in analysing the costs."

Selective reporting (reporting bias)

Low risk

Outcomes were well reported. There was no protocol registration available to check all pre‐specified measures were included but there was no evidence of selective reporting.

Other bias

Low risk

We did not note any other possible sources of bias.

Hashimoto 2011

Methods

Study design: pragmatic 6 month parallel RCT

Setting: 2 academic tertiary care hospitals and 4 large community hospitals in The Netherlands.

Participants were randomised between November 2007 and October 2008

Participants

Population: 95 people were randomised to the internet group (52) or the conventional face‐to‐face management group (38)

Baseline characteristics:

mean age, years (SD): remote 48.5 (12.4); face‐to‐face 52.4 (11.7)

% male: remote 45; face‐to‐face 47

% predicted FEV1 (SD): remote 76.3 (24.7); face‐to‐face 71.3 (21.0)

Inclusion criteria: adults (18 to 75 years) with a diagnosis of severe refractory asthma according to the major and minor criteria recommended by the American Thoracic Society. They had uncontrolled asthma despite intensive follow‐up by an asthma specialist for at least 1 year, chronic treatment with oral corticosteroids and high doses of ICS plus long‐acting bronchodilators. All were non‐smokers with a maximum smoking history of 15 pack‐years and had access to internet or mobile telephone

Exclusion criteria: none stated

Interventions

Intervention: dose adjustment of oral corticosteroids guided by an internet‐based management tool (internet group). Included electronic diary, decision support and monitoring support by a study nurse

Control: dose adjustment of oral corticosteroids according to conventional asthma treatment by the pulmonologist, according to GINA (conventional management group)

Outcomes

Cumulative sparing of oral corticosteroid therapy (OCS), ACQ, AQLQ, global satisfaction scale, FEV1, number of exacerbations and days of hospitalisation

The authors defined an exacerbation as a decrease in morning FEV1 of at least 10% compared with the mean FEV1 from the week before, or a respiratory event requiring an increase in prednisone equivalent to at least 10 mg/day, or a course of antibiotics, with or without hospitalisation

Notes

Funding: The Netherlands Organization for Health Research and Development (ZonMw)
ID number(s): 1146 (Netherlands Trial Reg No.)

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The study randomised participants by a computer random number generator and remained on the same allocation throughout the study. Communication: "The random codes were stratified for study center and initial dose of corticosteroid dose (lower or higher than 10 mg prednisone per day)".

Allocation concealment (selection bias)

Unclear risk

"unblinded after randomisation", implies it was concealed, but the study did not provide any further details.

Blinding of participants and personnel
Objective outcomes

Low risk

The treatment assignments were unblinded after randomisation to allow monthly corticosteroid dose adjustments according to conventional treatment by the physician or weekly adjustments according to the internet algorithm. While it was not possible to blind participants and personnel to allocation due to the nature of the intervention, participants and personnel being aware of group allocation is unlikely to have affected the results for the objective outcomes (exacerbations and adverse events).

Blinding of participants and personnel
Subjective outcomes

High risk

Participants and personnel being aware of group allocation could have affected their scores on subjective outcomes such as those measured on self‐report scales (ACQ and AQLQ).

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Communication: "This was a pragmatic study so the outcome assessors were not blind to the group allocation in order to allow monthly corticosteroid dose adjustments (according to conventional treatment by the physician) or weekly adjustments (according to the internet algorithm)".

Incomplete outcome data (attrition bias)
All outcomes

High risk

Five participants in the conventional management group withdrew consent before the study had started and the study excluded one participant because of poor adherence to the trial protocol. The study included 89 participants out of 95 in the intention‐to‐treat (ITT) analysis; 51 and 38. Dropout was higher in the conventional treatment group (16% versus 8%).

Selective reporting (reporting bias)

Low risk

The study was prospectively registered, and outcomes were well reported.

Other bias

Low risk

We did not note any other possible sources of bias.

Pinnock 2003

Methods

Study design: pragmatic parallel RCT (duration of study participation varied across participants)

Setting: 4 general practices in the UK

Participants

Population: 278 people were randomised to remote telephone check‐up (137) or face‐to‐face check‐up (141)

Baseline characteristics:

mean age, years (SD): remote 54.6 (17.5); face‐to‐face 56.4 (17.5)

% male: remote 41; face‐to‐face 42

% predicted FEV1 (SD): not reported

Inclusion criteria: adults with asthma who had requested a prescription for a bronchodilator inhaler in the last 6 months

Exclusion criteria: if diagnosis of asthma had been made within the previous year, if they had chronic obstructive pulmonary disease, if communication difficulties made a telephone check‐up impossible, or (at the general practitioner's (GP's) request) for major social or medical reasons.

Interventions

Intervention: telephone check‐up with the asthma nurse. The nurse tried up to 4 times to contact the participants.

Control: face‐to‐face check‐ups in the surgery also with the asthma nurse, one invitation was sent in the usual manner. Content of the check‐up was as the nurse deemed appropriate.

Outcomes

Medical reviews, time taken to review participants in each arm, asthma morbidity on the short Q, asthma related quality of life on the mini AQLQ, participant satisfaction, costs

Notes

Funding: originally developed at a General Practice Airways Group research meeting, which was organised by Mark Levy and funded by an educational grant from AstraZeneca. The trial was funded by British Lung Foundation (Grant No P00/9). Additionally, one study author was supported by an NHS R&D national primary care fellowship.
ID number(s): N/A

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Participants were centrally randomised in blocks of 10 to ensure that approximately equal numbers of participants were allocated to each study arm.

Allocation concealment (selection bias)

Low risk

"Centrally randomised" implies that allocation was undertaken independently and concealed.

Blinding of participants and personnel
Objective outcomes

Low risk

It would not have been possible to blind participants and personnel to allocation due to the nature of the intervention. However, participants and personnel being aware of group allocation is unlikely to have affected the results for the objective outcomes (exacerbations and adverse events).

Blinding of participants and personnel
Subjective outcomes

High risk

Participants and personnel being aware of group allocation could have affected their scores on subjective outcomes such as those measured on self‐report scales (ACQ and AQLQ).

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

“a researcher, blinded to allocation visited each of the practices and validated a random 20% sample of consultation data and data retrieved from records”. However, the participants and investigators could not be blinded to the interventions and, in most cases, the outcome assessors were not blinded to group allocation either.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

The percentage of withdrawals was low and even between groups (5.1 and 4.3% in the remote and face‐to‐face groups respectively).

Selective reporting (reporting bias)

Low risk

There was no evidence of selective reporting.

Other bias

Low risk

We did not note any other possible sources of bias.

Pinnock 2007a

Methods

Study design: 12 month before‐and‐after implementation study

Setting: 1 large English general practice on 3 sites

Participants

Population: 3 practices were randomised to: 1. a choice of remote phone check‐ups or face‐to‐face check‐ups (554 on list), 2. face‐to‐face only check‐ups (659 on list), or 3. a usual care control group which was not included in this systematic review (515 on list)

Baseline characteristics:

mean age, years (SD): remote 43 (24.8); face‐to‐face 42.3 (24.4)

% male: remote 44.2; face‐to‐face 44.9

% predicted FEV1 (SD): not reported

Inclusion criteria: adults and adolescents with a diagnosis of asthma and prescribed asthma medication in the previous year

Exclusion criteria: children under 12 years of age, diagnosis of COPD

Interventions

Intervention: participants were identified from the practice computer database and sent 3 invitations over the study period. They could book either a telephone or face‐to‐face check‐up both at a pre‐arranged time. Participants who did not respond to the 3 invitations were phoned and reviewed opportunistically

Control: participants were recalled to face‐to‐face only asthma check‐ups using invitations by post or as memos with repeat prescriptions. There was no option of telephone check‐ups and no systematic attempt was made to phone non‐attenders opportunistically.

Group excluded: the usual‐care control group maintained their well established asthma clinic, and existing procedures (for example, invitations are issued in response to clinical need), but no systematic recall was undertaken

Outcomes

Proportion reviewed, asthma morbidity and enablement on the mini AQLQ, ACQ, modified patient enablement instrument and Asthma Bother Profile, adverse events, costs

Notes

Funding: Scientific Foundation Board of the Royal College of General Practitioners (SFB/2003/45)
ID number(s): N/A

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

The study decided allocation to the telephone option by the public toss of a coin.

Allocation concealment (selection bias)

High risk

The study allocated individuals to treatment after the two clusters had been decided by the toss of a coin.

Blinding of participants and personnel
Objective outcomes

Low risk

It would not have been possible to blind participants and personnel to allocation due to the nature of the intervention. However, participants and personnel being aware of group allocation is unlikely to have affected the results for the objective outcomes (exacerbations and adverse events).

Blinding of participants and personnel
Subjective outcomes

High risk

Participants and personnel being aware of group allocation could have affected their scores on subjective outcomes such as those measured on self‐report scales (ACQ and AQLQ).

Blinding of outcome assessment (detection bias)
All outcomes

Unclear risk

The nurses were aware of allocation but it was unclear whether it was the nurses measuring outcomes, or if it was someone independent from the study who could remain blind to allocation. The study did not describe this. The study stated that there were quality control checks blinded to allocation which confirmed accuracy of data transfer.

Incomplete outcome data (attrition bias)
All outcomes

Low risk

Real‐world implementation study, therefore the uptake rate by participants is part of the study, routine asthma check‐up was provided for 66.3% of participants in the telephone only group and 53.8% in the face‐to‐face only group.

Selective reporting (reporting bias)

Low risk

There was no evidence of selective reporting.

Other bias

High risk

This study was a cluster implementation study with a before‐and‐after design. It randomised 2 practices to the interventions which would not have controlled for baseline imbalances in the same way as individual randomisation, and this meant the participant population in each group was not static. The intervention was a telephone option and many in that practice opted for a usual face‐to‐face check‐up, which meant the study was not making a direct comparison of remote and face‐to‐face check‐ups. Additionally, people in the telephone option group were phoned opportunistically to increase uptake of check‐ups which did not happen in the face‐to‐face group. These factors mean we cannot be certain that mode of check‐up, and not the increased likelihood of check‐up, was the variable being measured.

Rasmussen 2005

Methods

Study design: 6 month pragmatic parallel RCT

Setting: general practices and specialist clinics in Copenhagen, Denmark

Participants

Population: 300 people were randomised to remote check‐ups (100), face‐to‐face check‐ups with a specialist (100), and a usual care group not included in this review (100)

Baseline characteristics:

mean age, years (SD): remote 28 (NR); face‐to‐face 30 (NR)

% male: remote 31.8; face‐to‐face 34.1

% predicted FEV1 (SD): remote 91 (NR); face‐to‐face 93 (NR)

Inclusion criteria: 18 to 45 years with definite asthma, living in the catchment area of H:S Bispebjerg University Hospital of Copenhagen, Denmark

Exclusion criteria: none stated

Interventions

Intervention: participants were given a Peak Flow Meter and taught how to fill in a daily diary and respond to the computer’s advice. Physicians gave instructions via e‐mail or telephone to the participant. The intervention included an electronic diary, an asthma action plan and a decision support system for the physician.

Control: the specialists taught the participants how to adjust their medication on the basis of a peak flow meter and written action plan

Group not included: the GP group was asked to contact their GP and pass on a letter describing the study and giving the test results. GPs in Copenhagen had been sent a circular about asthma and GINA guidelines in the past.

Outcomes

AQLQ, asthma self‐care, smoking, education, salary, sick leave, hospitalisations, medication compliance, adverse events, lung function

Measured at baseline and 6 months

Notes

Funding: Grants from H:S Corporation of University Hospital of Copenhagen, AstraZeneca, and private funds
ID number(s): N/A

Risk of bias

Bias

Authors' judgement

Support for judgement

Random sequence generation (selection bias)

Low risk

Communication: "The allocation sequences were computer‐generated by a senior respiratory physician. These sequences consisted of randomised blocks of 30 asthmatics".

Allocation concealment (selection bias)

Low risk

Communication: "The envelopes were packed by two medical students one month before the start of the study and the randomisation lists were stored in a separate, sealed envelope. The consecutively numbered and sealed envelopes contained the randomisation code. All envelopes were opened sequentially after the asthma diagnosis had been verified".

Blinding of participants and personnel
Objective outcomes

Low risk

It would not have been possible to blind participants and personnel to allocation due to the nature of the intervention. However, participants and personnel being aware of group allocation is unlikely to have affected the results for the objective outcomes (exacerbations and adverse events).

Blinding of participants and personnel
Subjective outcomes

High risk

Participants and personnel being aware of group allocation could have affected their scores on subjective outcomes such as those measured on self‐report scales (ACQ and AQLQ).

Blinding of outcome assessment (detection bias)
All outcomes

High risk

Communication: "It was not possible to blind outcome assessors to group allocation".

Incomplete outcome data (attrition bias)
All outcomes

High risk

Of the 300 participants randomised, 253 participants completed both the screening and follow‐up visits. Dropout was unbalanced across groups (12%, 15% and 20%), and the study does not appear to have imputed data for missing values.

Selective reporting (reporting bias)

Low risk

The paper did not report all of the results from the questionnaires but the lead study author provided them on request.

Other bias

Low risk

We did not note any other possible sources of bias.

Abbreviations: ACQ = Asthma Control Questionnaire; AQLQ = Asthma Quality of Life Questionnaire; COPD = chronic obstructive pulmonary disease; FEV1 = forced expiratory volume in one second; GINA = Global Initiative for Asthma; GP = general practitioner; ICS = inhaled corticosteroids; ITT = intention‐to‐treat analysis; NR = not reported; OCS = oral corticosteroids; RCP = respiratory care practitioner; RCT = randomised controlled trial; SD = standard deviation.

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

ACTRN12606000400561

Wrong intervention ‐ technology‐based self management between reviews.

Ahmed 2011

Wrong intervention ‐ technology‐based self management between reviews

Andersen 2007

Wrong intervention ‐ minimal or no provider involvement

Apter 2000

Wrong design ‐ not a trial report

Apter 2015

Wrong comparison ‐ telemedicine portal used with or without home visits (both groups used the portal)

Araujo 2012

Wrong design ‐ crossover RCT

Baptist 2013

Wrong comparison ‐ phone calls for asthma education versus non‐asthma phone calls

Barbanel 2003

Wrong intervention ‐ asthma education intervention led by a pharmacist

Bateman 2000

Wrong intervention ‐ technology‐based self management between reviews

Bender 2001

Wrong intervention ‐ study assessing validity of self‐reports

Bender 2007

Wrong intervention ‐ study assessing validity of self‐reports

Bender 2010

Wrong intervention ‐ minimal or no provider involvement

Boyd 2014

Wrong intervention ‐ pharmacist led intervention about adherence

Burbank 2012

Wrong intervention ‐ focus on asthma education, not monitoring with remote reviews

Burkhart 2002

Wrong intervention ‐ intervention to improve adherence to home PEF measurements

Bynum 2001

Wrong intervention ‐ pharmacy led technology intervention to improve adherence

Chandler 1990

Wrong intervention ‐ monitoring theophylline levels

Chatkin 2006

Wrong intervention ‐ phone calls to promote adherence, not remote reviews

Chen 2013

Wrong intervention ‐ asthma behavioural intervention using technology, not remote reviews

Cicutto 2009

Wrong intervention ‐ not remote reviews

Clark 2007

Wrong intervention ‐ counselling intervention not remote reviews

Clarke 2014

Wrong intervention ‐ parenting intervention, not remote reviews

Claus 2004

Wrong design ‐ not a randomised controlled trial (RCT)

Cruz‐Correia 2007

Wrong design ‐ crossover RCT

de Jongste 2008

Wrong comparison ‐ comparing 2 types of electronic monitoring (FeNo versus symptoms)

De Vera 2014

Wrong intervention ‐ asthma education and adherence monitoring by a pharmacist

Deschildre 2012

Wrong intervention ‐ technology‐based self management between reviews

Donald 2008

Wrong intervention ‐ technology‐based self management between reviews

Dwinger 2013

Wrong intervention ‐ coaching/education intervention using technology for multiple chronic conditions

Eakin 2012

Wrong intervention ‐ not remote asthma reviews

Finkelstein 2005

Wrong intervention ‐ technology‐based self management between reviews

Fonseca 2006

Wrong design ‐ survey of RCT participants

Foster 2014

Wrong intervention ‐ adherence intervention

Friedman 1999

Wrong intervention ‐ mostly automated home monitoring, not remote reviews

Garbutt 2010

Wrong intervention ‐ asthma coaching/education intervention over the phone, not remote reviews

Guendelman 2002

Wrong intervention ‐ technology‐based self management between reviews

Gustafson 2012

Wrong intervention ‐ self‐determination theory intervention, not remote reviews

Halterman 2012

Wrong intervention ‐ technology‐based self management between reviews

Huang 2013

Wrong intervention ‐ support intervention, not remote reviews

Jan 2007

Wrong intervention ‐ technology‐based self management between reviews

Janevic 2012

Wrong intervention ‐ management intervention for African American women, not remote reviews

Jerant 2003

Wrong intervention ‐ mixed diagnosis study comparing models of delivering home care

Kattan 2006

Wrong intervention ‐ minimal or no provider involvement

Khan 2003

Wrong intervention ‐ one phone call at discharge, not remote reviews

Kojima 2005

Wrong intervention ‐ not technology‐based

Kokubu 1999

Wrong intervention ‐ technology‐based self management between reviews

Lam 2011

Wrong design ‐ cross‐sectional analysis of an ongoing RCT, and mixed diagnosis

Liu 2011

Wrong intervention ‐ technology‐based self management between reviews

Lobach 2013

Wrong intervention ‐ not about remote reviews

McCowan 2001

Wrong intervention ‐ computer‐aided decision support during consultation

McPherson 2006

Wrong intervention ‐ asthma education delivered via CD‐ROM and book versus book alone

Merchant 2013

Wrong intervention ‐ remote monitoring of inhaler adherence

Morrison 2014

Wrong intervention ‐ minimal or no provider involvement

Murphy 2001

Wrong design ‐ comment on a RCT

NCT00149474

Wrong comparison ‐ remote monitoring using PEF or symptoms

NCT00232557

Wrong comparison ‐ phone monitoring plus asthma education versus phone education

NCT00411346

Wrong intervention ‐ technology‐based self management between reviews

NCT00562081

Wrong intervention ‐ focus on asthma education not remote reviews

NCT00910585

Wrong intervention ‐ focus on asthma education not remote reviews

NCT00964301

Wrong intervention ‐ focus on asthma education not remote reviews

NCT01117805

Wrong intervention ‐ counselling not remote reviews

Neville 1996

Wrong intervention ‐ computer‐aided decision support during consultation

Osman 1997

Wrong intervention ‐ post admission follow‐up

Ostojic 2005

Wrong intervention ‐ technology‐based self management between reviews

Pedram 2012

Wrong intervention ‐ main focus of the study was to educate participants on how to use a peak flow meter

Peruccio 2005

Wrong intervention ‐ treatment awareness education delivered over the phone

Petrie 2012

Wrong intervention ‐ minimal or no provider involvement

Prabhakaran 2009

Wrong intervention ‐ technology‐based self management between reviews

Price 2007

Wrong intervention ‐ validating the Asthma Control Test for internet use

Raat 2007

Wrong design ‐ questionnaire not a RCT

Rand 2005

Wrong intervention ‐ study measuring validity of self‐report

Ricci 2001

Wrong intervention ‐ technology‐based self management between reviews

Rikkers‐Mutsaerts 2012

Wrong intervention ‐ minimal or no provider involvement

Rosenzweig 2008

Wrong intervention ‐ validation study

Ryan 2012

Wrong intervention ‐ technology‐based self management between reviews

Schatz 2003

Wrong comparison ‐ phone calls on top of face‐to‐face review, not instead of

Schatz 2010

Wrong intervention ‐ letter regarding validation of telephone delivery of the Asthma Control Questionnaire (ACQ)

Searing 2012

Wrong intervention ‐ minimal or no provider involvement

Seid 2012

Wrong intervention ‐ asthma education and motivational interviewing, not remote reviews

Shanovich 2009

Wrong intervention ‐ focus on asthma education not remote reviews

Taitel 2014

Wrong intervention ‐ pharmacy‐led compliance intervention, not remote reviews

Uysal 2013

Wrong intervention ‐ validating the Asthma Control Test via text messaging

van den Berg 2002

Wrong intervention ‐ general practitioner (GP) telephone access to paediatricians

van der Meer 2009

Wrong intervention ‐ technology‐based self management between reviews

van Gaalen 2012

Wrong intervention ‐ multifaceted intervention, not just remote reviews

van Reisen 2010

Wrong intervention ‐ multifaceted intervention, not just remote reviews

Vasbinder 2013

Wrong intervention ‐ minimal or no provider involvement. Medication reminder system

Vollmer 2006

Wrong intervention ‐ technology‐based self management between reviews

Voorend‐van Bergen 2013

Wrong intervention ‐ FeNO and Internet‐based monitoring

Wiecha 2007

Wrong intervention ‐ multi‐faceted intervention, not just about remote monitoring

Willems 2008

Wrong intervention ‐ technology‐based self management between reviews

Young 2012

Wrong intervention ‐ technology‐based self management between reviews

Yun 2013

Wrong intervention ‐ asthma education via text, not remote reviews

Zachgo 2002

Wrong intervention ‐ computer works out best inhaler type for patient

Abbreviations: RCT = randomised controlled trial; PEF = peak expiratory flow.

Data and analyses

Open in table viewer
Comparison 1. Remote versus face‐to‐face asthma reviews

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Exacerbations requiring oral corticosteroids Show forest plot

2

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

Analysis 1.1

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 1 Exacerbations requiring oral corticosteroids.

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 1 Exacerbations requiring oral corticosteroids.

1.1 Efficacy randomised controlled trials (RCTs)

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

1.2 Cluster implementation study

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

2 Exacerbations requiring hospital emergency department (ED) treatment Show forest plot

4

Odds Ratio (M‐H, Random, 95% CI)

Subtotals only

Analysis 1.2

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 2 Exacerbations requiring hospital emergency department (ED) treatment.

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 2 Exacerbations requiring hospital emergency department (ED) treatment.

2.1 Efficacy RCTs

3

651

Odds Ratio (M‐H, Random, 95% CI)

2.60 [0.63, 10.64]

2.2 Cluster implementation study

1

1212

Odds Ratio (M‐H, Random, 95% CI)

1.19 [0.38, 3.71]

3 Exacerbations requiring hospital admission Show forest plot

4

Peto Odds Ratio (Peto, Fixed, 95% CI)

Subtotals only

Analysis 1.3

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 3 Exacerbations requiring hospital admission.

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 3 Exacerbations requiring hospital admission.

3.1 Efficacy RCTs

3

651

Peto Odds Ratio (Peto, Fixed, 95% CI)

0.63 [0.06, 6.32]

3.2 Cluster implementation study

1

1213

Peto Odds Ratio (Peto, Fixed, 95% CI)

2.18 [0.83, 5.69]

4 Asthma control (Asthma Control Questionnaire (ACQ)) Show forest plot

2

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 1.4

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 4 Asthma control (Asthma Control Questionnaire (ACQ)).

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 4 Asthma control (Asthma Control Questionnaire (ACQ)).

4.1 Efficacy RCTs

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

4.2 Cluster implementation study

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

5 Serious adverse events (including mortality) Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

Analysis 1.5

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 5 Serious adverse events (including mortality).

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 5 Serious adverse events (including mortality).

5.1 Cluster implementation study

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

6 Asthma‐related quality of life (Asthma Quality of Life Questionnaire (AQLQ) Show forest plot

4

Mean Difference (IV, Random, 95% CI)

Subtotals only

Analysis 1.6

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 6 Asthma‐related quality of life (Asthma Quality of Life Questionnaire (AQLQ).

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 6 Asthma‐related quality of life (Asthma Quality of Life Questionnaire (AQLQ).

6.1 Efficacy RCTs

3

544

Mean Difference (IV, Random, 95% CI)

0.08 [‐0.14, 0.30]

6.2 Cluster implementation study

1

536

Mean Difference (IV, Random, 95% CI)

‐0.02 [‐0.23, 0.19]

7 Unscheduled healthcare visits Show forest plot

3

Odds Ratio (M‐H, Random, 95% CI)

Subtotals only

Analysis 1.7

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 7 Unscheduled healthcare visits.

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 7 Unscheduled healthcare visits.

7.1 Efficacy RCTs

2

531

Odds Ratio (M‐H, Random, 95% CI)

0.91 [0.45, 1.85]

7.2 Cluster implementation study

1

1213

Odds Ratio (M‐H, Random, 95% CI)

0.95 [0.75, 1.21]

8 Change in lung function (trough FEV1) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 1.8

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 8 Change in lung function (trough FEV1).

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 8 Change in lung function (trough FEV1).

9 Adverse events Show forest plot

1

278

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

Analysis 1.9

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 9 Adverse events.

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 9 Adverse events.

Open in table viewer
Comparison 2. Remote versus face‐to‐face for OCS tapering

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Exacerbations requiring hospital admission Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

Analysis 2.1

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 1 Exacerbations requiring hospital admission.

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 1 Exacerbations requiring hospital admission.

2 Asthma control (ACQ) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 2.2

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 2 Asthma control (ACQ).

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 2 Asthma control (ACQ).

3 Asthma‐related quality of life (AQLQ) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

Analysis 2.3

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 3 Asthma‐related quality of life (AQLQ).

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 3 Asthma‐related quality of life (AQLQ).

4 Unscheduled healthcare visits Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

Analysis 2.4

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 4 Unscheduled healthcare visits.

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 4 Unscheduled healthcare visits.

5 Adverse events Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

Analysis 2.5

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 5 Adverse events.

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 5 Adverse events.

Study flow diagram
Figuras y tablas -
Figure 1

Study flow diagram

'Risk of bias' summary: review authors' judgements about each 'Risk of bias' item for each included study.
Figuras y tablas -
Figure 2

'Risk of bias' summary: review authors' judgements about each 'Risk of bias' item for each included study.

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 1 Exacerbations requiring oral corticosteroids.
Figuras y tablas -
Analysis 1.1

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 1 Exacerbations requiring oral corticosteroids.

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 2 Exacerbations requiring hospital emergency department (ED) treatment.
Figuras y tablas -
Analysis 1.2

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 2 Exacerbations requiring hospital emergency department (ED) treatment.

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 3 Exacerbations requiring hospital admission.
Figuras y tablas -
Analysis 1.3

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 3 Exacerbations requiring hospital admission.

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 4 Asthma control (Asthma Control Questionnaire (ACQ)).
Figuras y tablas -
Analysis 1.4

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 4 Asthma control (Asthma Control Questionnaire (ACQ)).

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 5 Serious adverse events (including mortality).
Figuras y tablas -
Analysis 1.5

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 5 Serious adverse events (including mortality).

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 6 Asthma‐related quality of life (Asthma Quality of Life Questionnaire (AQLQ).
Figuras y tablas -
Analysis 1.6

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 6 Asthma‐related quality of life (Asthma Quality of Life Questionnaire (AQLQ).

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 7 Unscheduled healthcare visits.
Figuras y tablas -
Analysis 1.7

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 7 Unscheduled healthcare visits.

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 8 Change in lung function (trough FEV1).
Figuras y tablas -
Analysis 1.8

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 8 Change in lung function (trough FEV1).

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 9 Adverse events.
Figuras y tablas -
Analysis 1.9

Comparison 1 Remote versus face‐to‐face asthma reviews, Outcome 9 Adverse events.

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 1 Exacerbations requiring hospital admission.
Figuras y tablas -
Analysis 2.1

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 1 Exacerbations requiring hospital admission.

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 2 Asthma control (ACQ).
Figuras y tablas -
Analysis 2.2

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 2 Asthma control (ACQ).

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 3 Asthma‐related quality of life (AQLQ).
Figuras y tablas -
Analysis 2.3

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 3 Asthma‐related quality of life (AQLQ).

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 4 Unscheduled healthcare visits.
Figuras y tablas -
Analysis 2.4

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 4 Unscheduled healthcare visits.

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 5 Adverse events.
Figuras y tablas -
Analysis 2.5

Comparison 2 Remote versus face‐to‐face for OCS tapering, Outcome 5 Adverse events.

Summary of findings for the main comparison. Summary of findings table

Remote versus face‐to‐face check‐ups for asthma

Patient or population: adults or children with asthma
Setting: outpatient
Intervention: remote check‐ups conducted using technology (e.g. telephone, email)
Comparison: face‐to‐face asthma check‐ups

Outcomes

Anticipated absolute effects* (95% CI)

Relative effect
(95% CI)

Number of participants
(studies)

Quality of the evidence
(GRADE)

Comments

Risk with face‐to‐face check‐ups

Risk with remote check‐ups

Exacerbations requiring oral corticosteroids
3 months

21 per 1000

36 per 1000
(9 to 139)

OR 1.74
(0.41 to 7.44)

278
(1 RCT)

⊕⊕⊝⊝
low1,2

Very imprecise. Data from the implementation study** were consistent.

Exacerbations requiring hospital admission

6 months

5 per 1000

3 per 1000
(0 to 33)

Peto OR 0.63
(0.06 to 6.32)

651
(3 RCTs)

⊕⊕⊝⊝
low1,3

Very few events ‐ no conclusion could be drawn. The implementation study was more in favour of face‐to‐face check‐ups.

Asthma control (ACQ)

Scale 0 to 6; lower is better
12 months

The mean ACQ score with face‐to‐face check‐ups improved by 0.11

The mean ACQ score with remote check‐ups improved by 0.07 more

(0.35 more to 0.21 less)

146
(1 RCT)

⊕⊕⊕⊝
moderate 4,5

No difference and CIs ruled out significant harm of remote check‐ups (MCID for the ACQ is 0.5). The implementation study results were consistent.

Serious adverse events (including mortality)

0 RCTs

No efficacy studies reported all‐cause SAEs. The implementation study recorded 12/554 and 8/659 in the remote and face‐to‐face groups respectively (OR 1.80, 95% CI 0.73 to 4.44)

Asthma‐related quality of life (AQLQ)

Scale 1 to 7; higher is better

8 months

The mean AQLQ score with face‐to‐face check‐ups was 5.49

The mean AQLQ score with remote check‐ups was 0.08 better

(0.14 worse to 0.30 better)

544
(3 RCTs)

⊕⊕⊕⊝
moderate 4,5

No difference and CIs ruled out significant harm of remote check‐ups (MCID for the AQLQ is 0.5). The implementation study results were consistent.

Unscheduled healthcare visits

5 months

120 per 1000

110 per 1000
(58 to 201)

OR 0.91
(0.45 to 1.85)

531
(2 RCTs)

⊕⊕⊝⊝
low1,3

Very few events ‐ we could not draw any conclusions. The implementation study was more precise and did not show a difference.

Lung function (trough FEV1)

6 months

The mean trough FEV1 with face‐to‐face check‐ups was 20 mL

The mean trough FEV1 with remote check‐ups was 166.76 mL better

(78.03 more to 255.5 more)

253
(1 RCT)

⊕⊕⊕⊝
moderate 1,6

People having remote check‐ups had better lung function than those seen face‐to‐face in the one study that measured it.

*The risk in the intervention group (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). The risk with face‐to‐face check‐ups for continuous outcomes was calculated as a weighted mean of the face‐to‐face values.
Abbreviations: CI = confidence interval; RR = risk ratio; OR = odds ratio; ED = emergency department; ACQ = Asthma Control Questionnaire; AQLQ = Asthma Quality of Life Questionnaire; FEV1 = forced expiratory volume in one second; RCT = randomised controlled trial.

**The 'Implementation study', Pinnock 2007a, had a two‐cluster pragmatic design and was not pooled with the rest of the included studies (efficacy studies).

Durations were calculated as a weighted mean duration of the studies contributing data to the analysis.

GRADE Working Group grades of evidence
High quality: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate quality: we are moderately confident in the effect estimate: The true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low quality: our confidence in the effect estimate is limited: The true effect may be substantially different from the estimate of the effect.
Very low quality: we have very little confidence in the effect estimate: The true effect is likely to be substantially different from the estimate of effect.

1Studies were at high risk of bias for one or more blinding domains but it is unlikely that this had an effect on the objective outcomes (no downgrade).
2Evidence from 1 study with 7 events. There were very wide CIs (downgrade by 2 for imprecision).
3The effect was based on very few events. The 95% confidence intervals included significant harm and significant benefit of remote check‐ups (downgraded by 2 for imprecision).
4The upper limit of the CI crossed the line of no effect but both limits were well within the 0.5 unit minimal clinically important difference for the scale (no downgrade).
5Studies were at high risk of bias for blinding which may have affected this subjective outcome, and there was evidence of possible attrition bias (downgraded by 1 for risk of bias).
6The CIs excluded benefit of face‐to‐face check‐ups but they were wide and based on only one study of 253 people (downgraded by 1 for imprecision).

Figuras y tablas -
Summary of findings for the main comparison. Summary of findings table
Table 1. Summary of study and intervention characteristics

Study ID

Total N

Country

Duration

Mean age

% male

% FEV1

Intervention

Control

Chan 2007

120

Hawaii, USA

12 months

9.6

62.5

100.5

In‐home, website‐based case management and education.

In‐person education and case management.

Gruffydd‐Jones 2005

194

UK

12 months

50.2

45.4

NR

6‐monthly phone calls from trained asthma nurses. Formulation of individual AAP.

6‐monthly usual face‐to‐face appointment with an asthma nurse. Symptoms, peak flow and inhaler technique checked, and participants were issued with an AAP.

Hashimoto 2011

95

The Netherlands

6 months

50.1

45.3

73.9

OCS dose adjustment guided by an internet‐based diary, decision support and monitoring with support from a study nurse.

OCS dose adjustment according to GINA by the specialist.

Pinnock 2003

278

UK

3 months

55.5

41.4

NR

Telephone check‐up with the asthma nurse.

Face‐to‐face check‐ups in the surgery with the asthma nurse.

Pinnock 2007a

1728

UK

12 months

42.6

44.6

NR

Three invitations to book either a telephone or face‐to‐face check‐up. Non‐attenders were phoned and reviewed opportunistically.

Three invitations to book a face‐to‐face check‐up. Non‐attenders were not phoned opportunistically.

Rasmussen 2005

300

Denmark

6 months

29

34.5

92.0

Participants were given an AAP, online electronic diary and peak flow meter. Physicians gave participants instructions via e‐mail or telephone aided by computer decision support.

The specialists taught the participants how to adjust their medication on the basis of a peak flow meter and AAP.

Total N: the total number of participants randomised in the study, included to groups not analysed in this Cochrane review
% FEV1: the baseline mean of the predicted normal values
Abbreviations: AAP = asthma action plan; NR = not reported; OCS = oral corticosteroids

Figuras y tablas -
Table 1. Summary of study and intervention characteristics
Comparison 1. Remote versus face‐to‐face asthma reviews

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Exacerbations requiring oral corticosteroids Show forest plot

2

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

1.1 Efficacy randomised controlled trials (RCTs)

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

1.2 Cluster implementation study

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

2 Exacerbations requiring hospital emergency department (ED) treatment Show forest plot

4

Odds Ratio (M‐H, Random, 95% CI)

Subtotals only

2.1 Efficacy RCTs

3

651

Odds Ratio (M‐H, Random, 95% CI)

2.60 [0.63, 10.64]

2.2 Cluster implementation study

1

1212

Odds Ratio (M‐H, Random, 95% CI)

1.19 [0.38, 3.71]

3 Exacerbations requiring hospital admission Show forest plot

4

Peto Odds Ratio (Peto, Fixed, 95% CI)

Subtotals only

3.1 Efficacy RCTs

3

651

Peto Odds Ratio (Peto, Fixed, 95% CI)

0.63 [0.06, 6.32]

3.2 Cluster implementation study

1

1213

Peto Odds Ratio (Peto, Fixed, 95% CI)

2.18 [0.83, 5.69]

4 Asthma control (Asthma Control Questionnaire (ACQ)) Show forest plot

2

Mean Difference (IV, Random, 95% CI)

Totals not selected

4.1 Efficacy RCTs

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

4.2 Cluster implementation study

1

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

5 Serious adverse events (including mortality) Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

5.1 Cluster implementation study

1

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

6 Asthma‐related quality of life (Asthma Quality of Life Questionnaire (AQLQ) Show forest plot

4

Mean Difference (IV, Random, 95% CI)

Subtotals only

6.1 Efficacy RCTs

3

544

Mean Difference (IV, Random, 95% CI)

0.08 [‐0.14, 0.30]

6.2 Cluster implementation study

1

536

Mean Difference (IV, Random, 95% CI)

‐0.02 [‐0.23, 0.19]

7 Unscheduled healthcare visits Show forest plot

3

Odds Ratio (M‐H, Random, 95% CI)

Subtotals only

7.1 Efficacy RCTs

2

531

Odds Ratio (M‐H, Random, 95% CI)

0.91 [0.45, 1.85]

7.2 Cluster implementation study

1

1213

Odds Ratio (M‐H, Random, 95% CI)

0.95 [0.75, 1.21]

8 Change in lung function (trough FEV1) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

9 Adverse events Show forest plot

1

278

Odds Ratio (M‐H, Random, 95% CI)

0.0 [0.0, 0.0]

Figuras y tablas -
Comparison 1. Remote versus face‐to‐face asthma reviews
Comparison 2. Remote versus face‐to‐face for OCS tapering

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Exacerbations requiring hospital admission Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

2 Asthma control (ACQ) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

3 Asthma‐related quality of life (AQLQ) Show forest plot

1

Mean Difference (IV, Random, 95% CI)

Totals not selected

4 Unscheduled healthcare visits Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

5 Adverse events Show forest plot

1

Odds Ratio (M‐H, Random, 95% CI)

Totals not selected

Figuras y tablas -
Comparison 2. Remote versus face‐to‐face for OCS tapering