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Cribaje (screening) de la comunidad para la deficiencia visual en las personas mayores

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Resumen

Antecedentes

Los problemas visuales en las personas mayores son habituales y frecuentemente no se informan. Los efectos de la mala visión en las personas mayores son de gran alcance e incluyen caídas, confusión y reducción de la calidad de vida. Gran parte de los problemas de la vista en las edades más avanzadas pueden tratarse (por ejemplo, la cirugía de cataratas, la corrección del error de refracción). Por lo tanto, los cribajes de la vista pueden reducir el número de personas mayores que viven con pérdida de visión.

Objetivos

El objetivo de esta revisión fue evaluar los efectos sobre la visión del cribaje en la comunidad de personas mayores para la deficiencia visual.

Métodos de búsqueda

Se hicieron búsquedas en el Registro Cochrane Central de Ensayos Controlados (Cochrane Central Register of Controlled Trials, CENTRAL) (que contiene el Registro de Ensayos del Grupo Cochrane de Trastornos de los Ojos y la Visión [Cochrane Eyes and Vision Trials Register]) (2017, número 10); Ovid MEDLINE; Ovid Embase; el registro ISRCTN; ClinicalTrials.gov; y la ICTRP. La fecha de la búsqueda fue 23 de noviembre de 2017.

Criterios de selección

Se incluyeron ensayos controlados aleatorios (ECA) que compararon el cribado de la visión solo o como parte de un paquete de cribado de componentes múltiples en comparación con ningún cribado de la visión o la atención estándar, sobre la visión de las personas de 65 años o más en un contexto comunitario. Se incluyeron ensayos que utilizaron problemas visuales autoinformados o pruebas de agudeza visual como herramienta de detección.

Obtención y análisis de los datos

Se utilizaron los métodos estándar previstos por Cochrane. La certeza de la evidencia se evaluó con criterios GRADE.

Resultados principales

Se dispuso de datos de resultados visuales de 10.608 personas en 10 ensayos. Se realizaron cuatro ensayos en el Reino Unido, dos en Australia, dos en los Estados Unidos y dos en los Países Bajos. La duración del seguimiento varió de uno a cinco años. Tres de estos estudios fueron ensayos aleatorios por grupos en los que se asignó al azar a médicos generales o médicos de familia para que realizaran o no pruebas de visión. Todos los estudios fueron financiados por agencias gubernamentales. En general, se juzgó que los estudios tenían un bajo riesgo de sesgo y sólo se rebajó la certeza de la evidencia (GRADE) para la imprecisión.

Siete ensayos compararon la evaluación de la visión como parte de una evaluación de componentes múltiples versus ninguna evaluación. Seis de esos estudios utilizaron la visión autoinformada como instrumento de detección y medida de los resultados, pero no midieron directamente la visión. En un estudio se utilizó una combinación de medición de la visión y la agudeza visual autoinformada: los participantes que informaron de problemas de visión en el cribaje fueron tratados por el médico que los atendía, remitidos a un especialista en atención ocular o se les dio información sobre los recursos disponibles para ayudar en caso de visión deficiente. Hubo un riesgo similar de "no ver bien" durante el seguimiento en las personas sometidas a cribado en comparación con las personas no sometidas a cribado en el metanálisis de seis estudios (riesgo relativo (RR) 1,05, intervalo de confianza (IC) del 95%: 0,97 a 1,14, 4522 participantes pruebas de alta certeza). Un ensayo informó sobre la "mejoría de la visión" y esto ocurrió con una frecuencia ligeramente menor en el grupo sometido a cribado (RR 0,85, IC del 95%: 0,52 a 1,40, 230 participantes, evidencia de certeza moderada).

Dos ensayos compararon el cribaje de la visión (prueba de agudeza visual) sola con ningún cribaje de la visión. En un estudio, la agudeza visual a distancia fue similar en los dos grupos durante el seguimiento (diferencia de medias (DM) 0,02 logMAR, IC del 95%: ‐0,02 a 0,05, 532 participantes, evidencia de alta certeza). También hubo poca diferencia en la agudeza cercana (MD 0,02 logMAR, IC del 95%: ‐0,03 a 0,07, 532 participantes, evidencia de alta certeza). No hubo evidencia de ninguna diferencia importante en la calidad de vida (DM ‐0,06 puntuación del National Eye Institute en el cuestionario sobre la función visual de 25 elementos (VFQ‐25) ajustada a la puntuación inicial del VFQ‐25, IC del 95%: ‐2,3 a 1,1, 532 participantes, evidencia de alta certeza). El otro estudio no pudo ser incluido en el análisis de los datos porque no se pudo determinar el número de participantes en cada uno de los brazos en el seguimiento. Sin embargo, los autores afirmaron que no había diferencias significativas en la agudeza visual media de los participantes a los que se les había evaluado la agudeza visual en la línea de base (39 letras) en comparación con los que no se les había evaluado la agudeza visual (35 letras, P = 0,25, 121 participantes).

Un ensayo comparó una evaluación detallada de la salud que incluía la medición de la agudeza visual (intervención) con una breve evaluación de la salud que incluía una pregunta sobre la visión (atención estándar). Las personas a las que se les hizo una evaluación detallada de la salud tenían un riesgo similar de déficit visual (agudeza visual peor que 6/18 en cualquiera de los ojos) durante el seguimiento en comparación con las personas a las que se les hizo una evaluación breve (RR 1,07; IC del 95%: 0,84 a 1,36; 1807 participantes, evidencia de certeza moderada). La puntuación compuesta media del VFQ‐25 fue de 86,0 en el grupo que se sometió al cribaje de la agudeza visual, en comparación con 85,6 en el grupo de atención estándar, una diferencia de 0,40 (IC del 95%: ‐1,70 a 2,50, 1807 participantes, evidencia de alta certeza).

Conclusiones de los autores

La evidencia de los ECA realizados hasta la fecha no respaldan la realización de cribajes de visión para las personas mayores que viven de forma independiente en un entorno comunitario, ya sea de forma aislada o como parte de un paquete de cribaje de varios componentes. Esto se aplica a los programas de detección que implican preguntas sobre problemas visuales, o mediciones directas de la agudeza visual.

La razón más probable de esta revisión negativa es que las poblaciones incluidas en los ensayos a menudo no aceptaron la intervención ofrecida como resultado de la evaluación de la visión y grandes proporciones de los que no se sometieron a la evaluación de la visión parecieron buscar su propia intervención. Además, los ensayos que utilizan preguntas sobre la visión tienen una sensibilidad y especificidad menores que las pruebas formales de agudeza visual. Dada la importancia de los trastornos visuales entre las personas de edad avanzada, es necesario seguir investigando estrategias para mejorar la visión de las personas de edad avanzada. La eficacia de una intervención de cribaje optimizada en la atención primaria que supere los posibles factores que contribuyen a la falta de beneficios observada en los ensayos hasta la fecha merece ser evaluada; los ensayos deberían considerar la posibilidad de incluir a participantes más dependientes, en lugar de los que viven de forma independiente en la comunidad.

PICOs

Population
Intervention
Comparison
Outcome

The PICO model is widely used and taught in evidence-based health care as a strategy for formulating questions and search strategies and for characterizing clinical studies or meta-analyses. PICO stands for four different potential components of a clinical question: Patient, Population or Problem; Intervention; Comparison; Outcome.

See more on using PICO in the Cochrane Handbook.

Resumen en términos sencillos

Cribaje (screening) de la comunidad para la deficiencia visual en las personas mayores

¿Cuál era el objetivo de esta revisión?
El objetivo de esta revisión fue averiguar si el cribaje comunitario de la discapacidad visual (pérdida de la vista) en las personas mayores produce mejoras en la visión. Los autores de la revisión Cochrane recopilaron y analizaron todos los estudios relevantes para responder a esta pregunta y encontraron 10 estudios.

Mensaje clave
No hay evidencia de que el cribaje comunitarios para detectar la deficiencia visual en las personas mayores reduzca el nivel de deficiencia visual en las personas que viven en su domicilio de forma independiente. Es necesario seguir investigando las barreras que impiden el acceso a la atención médica en la tercera edad, así como investigar el efecto de los cribajes de visión en poblaciones más dependientes de personas mayores.

¿Qué se estudió en la revisión?
Los problemas de visión son comunes en las personas mayores y se asocian con una mayor probabilidad de caídas y una menor calidad de vida. Muchas personas mayores tienen problemas de visión no diagnosticados y, por lo tanto, no reciben el tratamiento adecuado. El cribaje de la vista en personas mayores en la comunidad podrían dar lugar a mejoras en la visión al ayudar a encontrar personas con problemas de visión y ponerlas en contacto con los servicios de atención sanitaria apropiados que puedan proporcionar tratamiento para el problema de la visión. El cribaje puede consistir en simples preguntas sobre la visión (problemas de visión autoinformados) o en una prueba de la vista que implica la lectura de letras en una tabla.

Los autores de la revisión Cochrane quisieron saber si el cribaje de la visión produce una mejora en la visión de las personas mayores de 65 años.

¿Cuáles son los principales resultados de la revisión?
Los autores de la revisión Cochrane encontraron 10 estudios relevantes. Cuatro estudios fueron del Reino Unido, dos de Australia, dos de los Estados Unidos y dos de los Países Bajos. Estos estudios compararon la evaluación de la visión con la ausencia de evaluación de la visión en personas de 65 años o más. Los pacientes que participaron en estos estudios tuvieron un seguimiento de entre uno y cinco años. Todos los estudios fueron financiados por agencias gubernamentales.

La revisión muestra que:

‐ las comunidades que realizaron cribajes de la vista no experimentaron una mejora de la visión, de media, en comparación con las comunidades que no realizaron cribajes de la vista;
‐ no supuso ninguna diferencia que los problemas de visión fueran autoinformados o se identificaran por una prueba de visión (lectura de letras en una tabla);
‐ no supuso ninguna diferencia que el cribaje de la visión se hiciera por sí solo o como parte de una evaluación más amplia de la salud.

Los autores de la revisión Cochrane evaluaron la certeza de evidencia para cada resultado de la revisión. Buscaron factores que pueden hacer que la evidencia sea menos segura, como problemas con la forma en que se realizaron los estudios, estudios muy pequeños y hallazgos inconsistentes entre los estudios. También analizaron los factores que pueden hacer que la evidencia sea de certeza más alta, incluidos los efectos muy grandes. Calificaron cada hallazgo como de muy baja certeza, baja certeza, certeza moderada o alta certeza. Esta revisión incluyó principalmente evidencia de alta certeza.

¿Cómo de actualizada está esta revisión?
Los autores de la revisión Cochrane buscaron estudios que se habían publicado hasta el 23 de noviembre de 2017.

Authors' conclusions

Implications for practice

The evidence from randomised controlled trials undertaken to date does not support vision screening intervention for older people in a community setting. This is true for screening programmes involving questions about visual problems, or direct measurements of visual acuity. Similarly, there was no benefit derived from vision screening in isolation or as part of a multi‐component screening package.

Implications for research

Given the importance of visual impairment among older people, further research into strategies to improve vision of older people is needed. The effectiveness of an optimised primary care‐based screening intervention that overcomes possible factors contributing to the observed lack of benefit in trials to date warrants assessment.

There are a number of unresolved issues around optimal tools to be used for screening for visual impairment, particularly in the context of multidimensional screening in primary care. Whether visual acuity is a good screening tool to identify people who are likely to benefit from interventions to improve their vision needs to be assessed. The value of screening for other measures such as visual fields or contrast sensitivity warrants further work. While single questions about self‐reported visual difficulties are poor predictors of low visual acuity, the development of brief screening instruments that assess visual function could be of great value (Iliffe 2005).

With regards to multidimensional assessment for older people, in the one trial with data on this issue the low level of ophthalmological referrals for those people deemed eligible for referral following screening was notable. There is scope for more research on the determinants of clinician adherence to recommendations for referrals arising from multidimensional assessments. Specific issues of interest are assessing the appropriateness of the referral decisions made and the role of the patient in the decision whether to refer or not.

The effectiveness of an increased role for optometry services in the detection and management of visual problems among older people on a population basis warrants evaluation.

Detailed prospective research on the detection, referral, diagnosis and management of visual problems in older people could help shed further light on the reasons for the ineffectiveness of screening. As well as looking at health service issues, research from the perspective of the older people themselves is also needed. Areas which particularly need to be addressed include: older people's perceptions of their visual problems and of the need for interventions; and perceived barriers to interventions to help their vision.

There is also a need to evaluate the impact of vision screening in more dependent populations of older people. The findings of two studies in this review highlighted that many of the control arm participants sought assessment from an eye care speciality independently (Swamy 2009; Tay 2006). Participants who live in residential or nursing homes are arguably less able to seek help when needed and therefore there may be greater benefit to providing visual screening in this subpopulation.

Background

Health services for older people are of increasing importance. In promoting health for older people, in recent years there has been a change in emphasis away from a medically‐orientated approach and towards an approach which focuses on the improvement of functional ability and quality of life, often termed 'healthy aging' (Andrews 2001; Rubenstein 1989; Swedish National Institute of Public Health 2007; Williams 1993). Improving sensory function is central to this approach.

A number of community surveys have demonstrated high levels of undiagnosed and untreated visual impairment among older people (Evans 2004; Klein 1991; Wormald 1992). A variety of adverse factors have been reported in association with visual impairment including: reduced functional status, social interaction and quality of life; depression; and falls.

Multi‐component assessment of older people was originally developed in the United Kingdom (Williamson 1964) and has been introduced in many countries. Multi‐component assessment aims to determine an older person's medical, social, psychological and functional problems, and to form a plan for treatment and follow‐up. Most forms of this assessment include some attempt to assess vision. While multi‐component assessment has been shown to produce some small overall benefits (Stuck 1993), exactly which procedures within the assessment are effective and which are ineffective is uncertain. Specific screening procedures for chronic open‐angle glaucoma or diabetic retinopathy have not been included in trials or programmes of multi‐component screening assessments.

Although the aim of improving visual impairment is clearly to produce improvements in other clinical outcomes, (such as improved quality of life or a reduction in falls), any benefit arising from vision assessment will necessarily be dependent on improved vision. Similarly, while the aims of multi‐component screening of older people are broad, any benefit arising from the inclusion of a vision component in the assessment will necessarily be dependent on improved vision. Therefore, this review used improvement in vision as the outcome measure of interest.

Since screening alone without subsequent intervention (e.g. glasses prescription, or other treatment from an eye specialist) cannot be expected to result in improvements in vision, we refer throughout this review to 'screening' being the intervention with implied subsequent intervention.

Objectives

The objective of this review was to assess the effects on vision of community vision screening of older people for visual impairment.

Methods

Criteria for considering studies for this review

Types of studies

We included all randomised controlled trials (RCTs) of visual screening alone or as part of multi‐component screening in people aged 65 years or over in a community setting.

Types of participants

Participants in the trials were people aged 65 years or over who were not identified as belonging to a particular risk group.

Types of interventions

We included trials in which there was any attempt at population screening for visual impairment in a community setting, either vision alone or as part of a multi‐component screening assessment.

Types of outcome measures

The outcome included was the degree of visual impairment in the population at the end of the trial. Assessment of vision by any method (questions about vision, measures of visual function or use of an acuity chart) at least six months after the initial vision screening assessment was included.

We excluded trials of multi‐component screening that did not consider the impact of screening on vision outcomes.

Search methods for identification of studies

Electronic searches

The Cochrane Eyes and Vision Information Specialist conducted systematic searches in the following databases for randomised controlled trials and controlled clinical trials. There were no language or publication year restrictions. The date of the search was 23 November 2017.

  • Cochrane Central Register of Controlled Trials (CENTRAL; 2017, Issue 10) (which contains the Cochrane Eyes and Vision Trials Register) in the Cochrane Library (searched 23 November 2017) (Appendix 1);

  • MEDLINE Ovid (1946 to 23 November 2017) (Appendix 2);

  • Embase Ovid (1980 to 23 November 2017) (Appendix 3);

  • ISRCTN registry (www.isrctn.com/editAdvancedSearch; searched 23 November 2017) (Appendix 4);

  • US National Institutes of Health Ongoing Trials Register ClinicalTrials.gov (www.clinicaltrials.gov; searched 23 November 2017) (Appendix 5);

  • World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) (www.who.int/ictrp; searched 23 November 2017) (Appendix 6).

Searching other resources

We scanned the reference lists of identified trial reports and of review articles for further relevant reports. We used the SciSearch database to search for articles that cited the included studies. We contacted the named author for correspondence for each of the included trials to obtain information about any other trials.

Data collection and analysis

Selection of studies

Two authors independently assessed the titles and abstracts identified from the searches and obtained full reports of studies which possibly or definitely fulfilled the selection criteria. A vision screen may have been only one small part of a multi‐component screening programme and data about vision outcomes may not have been included in published reports of trials. Therefore, we contacted trial authors for further information about visual outcome data if these were not reported. We also asked trial authors to provide further details about the screening and outcome assessments and about the interventions offered. We selected studies for which vision outcome data were available for quality assessment and data extraction.

Data extraction and management

Two authors independently extracted data about visual outcomes using paper data extraction sheets and entered data into Review Manager 5 (RevMan 5) (Review Manager 2014). We resolved disagreements by discussion. The proportions of people with visual impairment in the experimental and control groups formed the comparison.

For the cluster randomised studies we used effect estimates and 95% confidence intervals adjusted for the cluster design, where these were reported by the study investigators. Where this was not possible we did a sensitivity analysis reducing the effective sample size by a design effect of 2 to see the extent the precision of the effect estimate was affected by ignoring the cluster design.

Assessment of risk of bias in included studies

We assessed risk of bias based on the recommendations in Chapter 8 of the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011). We considered the following parameters and graded each parameter as low risk, unclear risk or high risk.

  1. Sequence generation. We scored this as 'low risk' if there was some form of centralised randomisation scheme, an on‐site computer system or if sequentially‐numbered sealed opaque envelopes were used. We scored studies as 'unclear risk' if insufficient information was provided.

  2. Allocation concealment. We graded this as 'low risk' if allocation was centrally determined, or through use of identical sequentially numbered drug containers or sealed envelopes. We scored studies as 'unclear risk' if insufficient information was provided.

  3. Incomplete outcome data. We scored this as 'low risk' if there was no missing outcome data, or if the missing outcome data was equally absent between groups or if the missing data was unrelated to the outcome.

  4. Selective outcome reporting. We considered this 'low risk' if the study's protocol was available and all the primary outcomes were reported.

  5. Other sources of bias. This included any concerns we had of biases not included in the other categories.

Two authors assessed risk of bias and resolved disagreements by discussion. Authors were not masked to the report authors or trial results.

Data synthesis

We combined results of studies that addressed the same comparison to produce a summary risk ratio using the fixed‐effect Mantel‐Haenszel method. We assessed the amount of between‐study heterogeneity that was not explained by random error using the I² statistic and tested for heterogeneity between trials using a standard Chi² test.

Trials of visual screening alone might be expected to produce different effects to trials of visual screening included in a broader assessment. We decided that these two sub‐groups of trials would be analysed separately because we would find a pooled result difficult to interpret. Furthermore, differences in the control arm of the trials (no intervention versus standard care) may also be a source of variation and so should also be analysed separately.

Sensitivity analysis

We anticipated that differences in trial quality may produce differences in the effect size seen and therefore we planned sensitivity analyses to assess the effects of including or excluding trials of different quality. We did not identify any trials at high risk of bias in any domain so did not do this planned sensitivity analysis.

We repeated the analyses using a random‐effects model for comparison with the results from the fixed‐effect model.

We performed two post hoc sensitivity analyses:

  • excluding trials that did not directly refer participants to eye specialists; and

  • reducing the effective sample size for cluster trials to take into account the additional variation introduced by the cluster design.

'Summary of findings' table

We did not prepare a 'Summary of findings' table because we only had one major outcome in the review and three different comparisons. We graded the certainty of the evidence using GRADE (Guyatt 2011). We considered risk of bias in the included trials, inconsistency (whether the trial results were similar to each other), imprecision (number of events/confidence intervals), indirectness and publication bias.

Results

Description of studies

Results of the search

The initial searches run in 1998 found 2862 citations and abstracts. Of these 154 full‐text articles were reviewed in detail. The following five trials met the final inclusion criterion, that visual outcome data were available with follow‐up of at least six months: McEwan 1990; Van Rossum 1993; Vetter 1984; Vetter 1992; and Wagner 1994. We found no trials that were primarily of visual screening. We excluded 16 studies: see Characteristics of excluded studies for details.

Subsequent searches, conducted in February 2006, identified 1269 titles and abstracts. After assessing the titles and abstracts we identified one study that met the inclusion criteria (Smeeth 2003).

A further update search was done in February 2008. The electronic searches retrieved eight references from the Cochrane Library, 277 references from MEDLINE, 363 references from Embase and 26 references from the UK Clinical Trials Gateway. After deduplication the search identified a total of 561 references. The Trials Search Co‐ordinator scanned the search results and removed any references which were not relevant to the scope of the review. The review authors identified one report as being potentially relevant (Tay 2006); however, the review authors required information from the study authors prior to this study being assessed for inclusion in the review.

Updated searches conducted in November 2017 identified 5288 new records (Figure 1). After 1257 duplicates were removed the Cochrane Information Specialist (CIS) screened the remaining 4031 records and removed 3179 references which were not relevant to the scope of the review. We screened the remaining 852 records and obtained two full‐text reports for further assessment. We have included one new study in the review (Swamy 2009); and excluded one study (Matchar 2017). In the previous version of this review Tay 2006 was awaiting classification: we have now assessed this study and added it to the review. We have re‐assessed studies by Moore 1997 and Eekhof 2000 and have now included them in this update of the review. We did not identify any ongoing studies from our searches of the clinical trials' registries.


Study flow diagram.

Study flow diagram.

Included studies

The following is a broad description of the included studies. See 'Characteristics of included studies' table for more detailed information on the individual trials.

Setting and participants

We identified 10 studies for inclusion in the review. Of these, seven were individually randomised trials (McEwan 1990; Swamy 2009; Tay 2006; Van Rossum 1993; Vetter 1984; Vetter 1992; Wagner 1994); and three were cluster randomised trials (Eekhof 2000; Moore 1997; Smeeth 2003). These trials included a total of 10,608 participants. Smeeth 2003, was the largest study with 4340 participants.

Four of the studies were undertaken in the United Kingdom (McEwan 1990; Smeeth 2003; Vetter 1984; Vetter 1992), all of which recruited participants from general practice (family practice). Two studies were undertaken in Sydney, Australia, with participants mainly recruited from outpatient aged care services (Swamy 2009; Tay 2006). Two studies were undertaken in the United States (Moore 1997; Wagner 1994).Two studies were undertaken in the Netherlands (Eekhof 2000; Van Rossum 1993), with Van Rossum 1993 recruiting from a defined geographic area and Eekhof 2000 recruiting from general practice.

Interventions

In seven trials, vision screening as part of a multi‐component screening package was compared with no vision screening (standard care). These trials used questions about vision within the screening assessment (Eekhof 2000; McEwan 1990; Moore 1997; Van Rossum 1993; Vetter 1984; Vetter 1992; Wagner 1994). One of these studies also measured visual acuity (Eekhof 2000). Six of these trials had two arms, comparing multi‐component screening (including vision) with no screening (standard care). One of these trials had three arms, comparing a multi‐component screening package including visual screening with general health promotion without visual screening, as well as no screening (standard care) (Wagner 1994).

In the remaining three trials, vision was directly measured. In Smeeth 2003, all participants in the intervention arm were offered a detailed health assessment including visual acuity screening. This was compared with standard care which involved a brief health assessment including one question about vision (difficulty reading newspaper print), but not visual acuity assessment, unless participants met a specified range and level of problems to warrant a more detailed assessment.

Swamy 2009 compared visual assessment alone (including visual acuity, visual fields, intraocular pressure and contrast sensitivity) that was not part of a multi‐component screening package versus no screening (standard care). Visual acuity was assessed using an ETDRS chart converted to LogMAR. Tay 2006 also compared visual screening with no visual screening, but randomised participants into four groups: visual screening only; visual and hearing screening; hearing screening only; and no visual or hearing screening. Visual screening involved visual acuity assessment (logMAR), binocular near testing and visual field analysis, as well as three questions about vision.

The type of visual intervention provided as a consequence of being identified as having a visual problem varied between trials. Wagner 1994 provided information about resources that were available to assist with poor vision, Van Rossum 1993 advised participants to contact an optometrist, whereas Vetter 1984 and Vetter 1992 made referrals to an optometrist. McEwan 1990 also made referrals to an optometrist as well as providing advice. Smeeth 2003 advised participants to see an optometrist or made a referral to an ophthalmologist depending on the visual acuity. Swamy 2009 provided new glasses (as all participants receiving visual screening were assessed by an optometrist), and made referrals to an ophthalmologist or occupational therapist. Moore 1997, after identifying a participant as positive following questions about vision, went on to conduct visual acuity testing by a physician using a Snellen chart, who arranged further investigations and subsequent management where required. Tay 2006 referred participants to an ophthalmologist when visual acuity was worse than 6/12, if pinhole improved visual acuity by 2 lines in distance vision or one line in near vision, when visual defects were suggested or when participants reported visual problems when visual acuity was not measured. Participants in Eekhof 2000 had usual care for the visual disorder.

In Wagner 1994 and Moore 1997 the assessments were undertaken at a clinic. In Smeeth 2003 33.9% of screening assessments were undertaken in people's own homes, the remainder being undertaken at the general practice surgery. In Swamy 2009, 29% of visual acuity assessments were conducted at home, with the remainder carried out in the study clinic. Tay 2006 conducted assessments in participants' homes or at the local day hospital. In the other trials the assessments were all undertaken in participants' homes.

Assessments in all trials were undertaken by specially trained nurses or health visitors, with the exception of Swamy 2009 in which research assistants undertook baseline testing and all visual acuity testing was performed by a study optometrist; and Eekhof 2000 which involved general practitioners conducting the assessment.

Outcome measures

In Smeeth 2003 visual acuity was assessed using logMAR (converted to Snellen) using Glasgow Acuity Cards with a cut point of 6/18 in either eye. Participants also completed a 25‐item version of the National Eye Institute Visual Function Questionnaire (NEI VFQ‐25) (Mangione 2001). The NEI VFQ‐25 was also used by Swamy 2009, as well as visual acuity assessed using ETDRS (converted to LogMAR). Tay 2006 measured visual acuity using logMAR and EDTRS and asked three questions: whether participants had noticed any deterioration in their vision; if they would be able to recognise a friend across the street; and if they had any difficulty reading newspaper print.

The remaining seven trials reported outcomes in terms of number of participants. Six trials reported on the number of participants who still had visual difficulties; whereas one trial reported the number of participants who had improvements in vision (Moore 1997). All seven trials used questions to determine outcome, with one trial also measuring visual acuity using a Snellen chart (Eekhof 2000). Six trials assessed outcome by a face‐to‐face interview; whereas one trial used a postal questionnaire (Wagner 1994).

There was slight variation in the wording of the questions asked between reviews. McEwan 1990 asked about difficulty reading newsprint; Van Rossum 1993 asked participants how they would rate their vision; whereas Vetter 1984 and Vetter 1992 asked about difficulty seeing in general. Moore 1997 asked about difficulty driving, reading a newspaper or doing any other daily activities because of visual difficulties.

Length of follow‐up ranged from one to four years, except in Smeeth 2003 where the range was three to five years.

Excluded studies

We excluded 16 trials from this review and give reasons for exclusion in the Characteristics of excluded studies table.

Risk of bias in included studies

Please see Figure 2 for a summary of risk of bias.


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

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

Allocation

Random sequence generation

We obtained descriptions of the randomisation process for nine trials, with randomisation performed using random number tables or random number generators. We did not obtain details regarding the generation of the allocation sequence for Eekhof 2000, which we therefore gave a rating of 'unclear risk of bias' for random sequence generation.

Allocation concealment

Allocation concealment is unlikely to be an issue in cluster‐randomised trials so we judged these as low risk of bias (Eekhof 2000; Moore 1997; Smeeth 2003). Most of the individually randomised studies reported an adequate method of allocation concealment, such as central randomisation; or indicated that the allocation was kept separate from people recruiting participants. One study did not provide enough information for us to make an assessment (Tay 2006).

Blinding

Masking of participants was not possible as participants would have been aware of whether they had received a screening assessment. We did not assess performance bias because we were interested in the effect of assignment to the intervention, regardless of whether the interventions were adhered to during follow‐up (Cochrane RoB 2.0 2016).

Some of the trials made attempts to mask the outcome assessors (Swamy 2009; Van Rossum 1993), but since participants would have been aware of whether or not they had undergone visual screening, which arm of the trial participants were in could have emerged during the face‐to‐face outcome assessments. Trials that used postal questionnaires to participants to assess outcomes would have avoided this issue (Moore 1997; Wagner 1994); therefore we assigned a 'low risk of detection bias' to studies that made an attempt to mask outcome assessors or used postal questionnaires. We gave the remaining studies an 'uncertain risk of detection bias' rating as knowledge of the participant group may have possibly influenced the outcome, but we judged this as unlikely to be a material bias.

Incomplete outcome data

Because of the ages of the trial participants there was a high mortality rate in most of the trials.

In Smeeth 2003 around one third of participants died prior to outcome assessment. Excluding people who had died, the overall response rate was 62.8%. There was a slightly different response rate between the two trial arms: 67.8% (978/1443) in the standard care arm including one question about visual acuity, as compared to 57.9% (829/1432) in the intervention arm who underwent visual acuity testing. This difference was the largest of any of the included trials and because it is not certain that this difference would have had a material effect on the outcome, we rated this trial as 'unclear risk of attrition bias'.

Tay 2006 had an attrition rate of 40% (85/206), but the difference between groups was not reported and therefore we also scored this study as 'uncertain risk of attrition bias'.

We also gave Van Rossum 1993 an 'unclear risk of bias' for attrition since the differences between intention‐to‐treat and per protocol results were not clear. It was also not clear which were presented.

Selective reporting

All nine trials reported on the pre‐specified primary outcomes, and we therefore scored them as 'low risk' of selective reporting bias.

Other potential sources of bias

We gave Moore 1997 an 'unclear risk of bias' since there was the potential for recruitment bias. However, there were minimal differences in baseline characteristics between groups, apart from membership of a health maintenance organisation which was more common in the intervention group (64% versus 33%).

We also scored Eekhof 2000 as 'unclear risk of bias' for the potential for recruitment bias. The exclusions were similar between groups (6% versus 8%), which suggests that recruitment bias is unlikely, but there were fewer people recruited per surgery than 160, according to Table 1 in the trial report. This discrepancy between the number of people selected for recruitment and actual number of participants included in the study remains unexplained.

Effects of interventions

The results in all 10 trials were very similar and we describe them per comparison, below.

Vision screening as part of a multi‐component screening package versus no vision screening

Within this comparison, six trials were meta‐analysed. There was no evidence of heterogeneity of effect between six trials (I² was 0%, Chi² = 1.27, df = 5, P = 0.94) assessing vision screening (questions) as part of a multi‐component screening package versus no vision screening. The pooled risk ratio for people in the intervention and control groups having self‐reported visual problems when outcome assessments were performed was 1.05 (95% CI 0.97 to 1.14), high‐certainty evidence (Analysis 1.1). Similar results were seen with a random‐effects model (RR 1.06, 95% CI 0.97 to 1.15).

We performed two post hoc sensitivity analyses. Firstly, excluding trials that did not directly refer participants to eye specialists (i.e. Wagner 1994 and Van Rossum 1993) did not result in any significant changes to the meta‐analysed results, with a pooled risk ratio of 1.06 (95% CI 0.96 to 1.17), with no evidence of heterogeneity (I² was 0%, Chi² = 0.81, df = 3, P = 0.85). Secondly, reducing the effective sample size of the one cluster trial — Eekhof 2000 — by dividing by an estimated design effect of 2 did not make any important difference to the estimate and precision of the overall effect (RR 1.04, 95% CI 0.95 to 1.15).

The remaining trial within this comparison was included under a different outcome as "improvement in vision" was determined not to be the direct inverse of "not seeing well". In Moore 1997, after 6 months 20/99 (20%) individuals who had visual screening reported an improvement in vision, as compared to 31/131 (24%) who had not undergone visual screening, with a risk ratio of 0.85 (95% CI 0.52 to 1.40), moderate‐certainty evidence (downgraded one level for imprecision).

Vision screening only versus no vision screening

This comparison included two studies, Swamy 2009 and Tay 2006. In Swamy 2009, after one year's follow‐up, visual acuity in the screened and non‐screened groups was similar. The mean distance logMAR visual acuity in the vision screening group was 0.27, as compared to 0.25 in the standard care group (i.e. no screening), with a mean difference between groups of 0.02 (95% CI −0.02 to 0.06), high‐certainty evidence.

The mean near logMAR visual acuity in the visual screening group was −0.01 as compared to −0.03 in the standard care group, with a difference of 0.02 (95% CI −0.03 to 0.07), high‐certainty evidence. There was no evidence of any important difference in quality of life. The mean VFQ in the visual screening group was 84.3 and 86.4 in the standard care group, with an adjusted mean difference of −0.06 (95% CI −2.3 to 1.1), high‐certainty evidence; adjustments were made for baseline VFQ‐25 scores.

We could not calculate a mean difference from Tay 2006, as the number of participants who had been followed up per arm could not be determined. However, the authors state that the mean visual acuity in participants who had visual acuity assessed (intervention) at baseline (39 letters) was non‐significantly better than those who did not have their visual acuity assessed (35 letters, P = 0.25).

Vision screening (visual acuity test) as part of a multi‐component screening package versus vision screening (question about vision) as part of a multi‐component screening package (standard care)

In Smeeth 2003, three to five years after screening, the risk ratio for visual acuity less than 6/18 in either eye, comparing visual acuity screening to usual care, was 1.07 (95% CI 0.84 to 1.36, P = 0.58), moderate‐certainty evidence (downgraded for imprecision) after adjustment for cluster design. There was little evidence of any difference in quality of life. The mean composite score of the NEI VFQ‐25 was 85.6 in the standard care group and 86.0 in the intervention group, difference 0.4 (95% CI −1.7 to 2.5, P = 0.69), high‐certainty evidence.

Discussion

Summary of main results

This systematic review included three comparisons, all of which provided predominantly high‐certainty evidence of a lack of effect of vision screening in older people.

The first comparison included seven trials comparing visual screening involving some questions about vision as part of a multi‐component screening versus no screening (standard care). Six of these seven trials were included in a meta‐analysis, with pooled proportions of participants indicating no difference between the intervention and control groups who reported on‐going vision problems. The remaining trial, Moore 1997, also showed no difference in the number of participants reporting an improvement in vision between groups.

The second comparison included two studies which compared vision screening with no screening (standard care). Neither study demonstrated a difference between groups in terms of visual acuity or difference in quality of life.

The final comparison included Smeeth 2003, which showed no difference in visual outcome between a detailed health assessment including measurement of visual acuity and a brief health assessment including one question about vision (standard care).

Visual impairment is common among older people and is frequently unreported. It has several adverse associations including falls, reduced quality of life and reduced functional ability (Smeeth 1998a). Results from community surveys in the 'over 75 years' age group suggest that over half the visual impairment in this age group could potentially be reduced with treatment, notably by cataract surgery or refractive correction (Klein 1991; Wormald 1992).

Possible explanations for lack of effectiveness

It has been suggested that vision screening alone rather than as part of a multi‐component screening assessment would be more effective (SLSSG 1977; Stone 1978). However, in clinical practice screening for visual impairment is highly likely to be one part of a broader screening package and, therefore, an assessment of effectiveness within a broader package is the most pragmatically useful measure. Moreover the two latest trials, Swamy 2009 and Tay 2006, which used screening for visual impairment in isolation as their intervention, did not demonstrate an improvement in visual acuity or an improved score on the National Eye Institute Visual Function Questionnaire.

Nonetheless, there are a number of factors that remain which may have contributed to the lack of effectiveness of visual screening.

Firstly, a screening procedure alone would not be expected to lead to improvements in vision. Such improvements would be dependent on the subsequent interventions to improve vision. There were considerable differences in the subsequent follow‐up of patients found to have visual problems between studies, but the results of the post hoc sensitivity analysis excluding those studies that did not directly refer to eye specialist services, did not result in differing results of the meta‐analysis. Some of the trials provided information regarding the uptake of interventions. In Smeeth 2003, for people with visual impairment not thought to be due to refractive error, 35% had seen an ophthalmologist in the past 12 months and a further 14% were registered blind or partially sighted. Both these groups were not eligible for referral. Only around half of those people recommended for referral to an ophthalmologist were actually referred; although when referral did occur, attendance at eye clinics was high. People with worse vision were more likely to be referred and people with evidence of cognitive impairment at the time of screening were less likely to be referred. However, explanations for the low adherence by general practitioners to recommendations for referral are lacking. Around half of those who attended an ophthalmologist following screening had cataract surgery and their vision improved. Among the remaining people who attended an ophthalmologist following screening, there was no improvement in visual acuity. It is possible that some of these people received interventions for low vision that were of benefit in terms of function and quality of life, but that would not be expected to improve visual acuity. However, the result for visual function did not differ in the two trial arms. The study authors concluded that while overall as a result of the visual screening some people obtained beneficial interventions, the numbers of people benefiting was small in the context of a population‐based screening programme and were not sufficient to affect the prevalence of visual impairment among all participants. In Swamy 2009, 135 out of 146 participants (92%) took up treatment or referral. The majority of participants received glasses (92 people out of 135, 68%), 77% of which were delivered within 60 days. However, less than half the participants who were referred to an ophthalmologist or optometrist actually received a treatment. In Moore 1997, 19/20 participants in the intervention group took up the intervention that was recommended following visual screening, as compared to 17/19 participants in the control group. In Tay 2006, 37 out of 42 participants (88%) complied with the recommendation to see an eye‐care professional. None of the remaining five trials provided details as to uptake of interventions. Although sparse details are provided on who conducted the screening, it is not clear how effective the communication was between the screener and the participant. It would seem reasonable that the effectiveness of the communication provided may have had an impact on the uptake of interventions: if communication between the screener and participant was poor, they may have felt less inclined to follow the recommendation.

Secondly, individuals who reported visual problems when prompted to do so in a screening programme may not have perceived their previously unreported visual impairment as a 'need' for intervention. Gradual adjustment to, and assimilation of, reduced visual function may occur with ageing among some people. Therefore, in spite of reporting problems with vision when asked directly, they may not have acted on advice to seek further care. There is very little information on whether older people accept interventions for visual problems discovered by screening. In a randomised trial of multi‐component screening in the United States 15 out of 18 older people complied with advice to attend for an eye examination (Fabacher 1994). In a United Kingdom general practice‐based survey one third of those referred to the eye services with a visual problem did not attend (Wormald 1992). In addition to participants not concurring with the need for intervention, there may have been barriers to obtaining help with the eye problems identified. Possible barriers include: costs of further eye tests, glasses and other treatments; and an inability of ophthalmic services to meet demand, for example for cataract extraction. A further reason may be simple acceptance of gradual decline in visual function with age and limited understanding of the potential benefits from intervention.

Thirdly, trials using questions about vision both for the initial screening assessment and for the outcome assessment may have affected the results. Questions about vision have a low sensitivity and, to a lesser extent, a low specificity for detecting visual impairment when compared to formal acuity testing (Smeeth 1998a). However, in the four trials that measured visual acuity both at the screening assessment and at the outcome assessment (Eekhof 2000; Smeeth 2003; Swamy 2009; Tay 2006), the lack of effect of screening on visual outcomes was very similar to the results seen in the remaining trials.

Overall completeness and applicability of evidence

All studies within this review included participants who were independent and living in the community and several studies specifically excluded participants who lived in residential or nursing care (Smeeth 2003; Van Rossum 1993, Vetter 1984; Wagner 1994). Therefore participants in these studies were likely to be able to independently seek ophthalmic intervention should they see a need to do so. This assumption is corroborated by the findings of Swamy 2009 and Tay 2006: 72% of the control arm within Swamy 2009 consulted with an eye‐care professional in the preceding 12 months and 74% participants within Tay 2006 consulted with an eye care specialist within the study period regardless of baseline recommendation. As such, the findings of this review may not be applicable to more dependent older people living in residential or nursing care. Of note:a previously conducted community survey suggested that over half the visual impairment in this age group could potentially be reduced with treatment included housebound older people (Wormald 1992) — a different population from the trials. Future trials should focus on recruiting participants who are more dependent and less able to seek ophthalmic intervention, as a greater benefit may be derived in this population.

Certainty of the evidence

The certainty of the evidence within this review is graded as 'high', since each of the three comparisons contained high‐certainty evidence.

The statistical estimates of effect were reasonably precise and trials reported consistent results. Additionally, although there was variation in the design of the trials necessitating three comparisons within this review, all trials addressed the question and outcomes were relevant.

Potential biases in the review process

We followed standard Cochrane methods in the process of updating this review. The protocol was also updated in response to Cochrane methods guidance, rather than through knowledge of the data.

Agreements and disagreements with other studies or reviews

A similar systematic review — Chou 2009 — which has been recently updated by the U.S. Preventive Services Task Force Recommendation (Chou 2016), drew conclusions in line with this review. Specifically, they found "no significant difference between vision screening in older adults in primary care settings, versus no screening for improving visual acuity or other clinical outcomes." Three randomised controlled trials were included in Chou 2016, all of which are also included in this review (Eekhof 2000; Moore 1997; Smeeth 2003).

Study flow diagram.
Figures and Tables -
Figure 1

Study flow diagram.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.
Figures and Tables -
Figure 2

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

Comparison 1 Vision screening as part of multi‐component screening package versus no vision screening (standard care), Outcome 1 Not seeing well (as defined by each trial).
Figures and Tables -
Analysis 1.1

Comparison 1 Vision screening as part of multi‐component screening package versus no vision screening (standard care), Outcome 1 Not seeing well (as defined by each trial).

Comparison 1. Vision screening as part of multi‐component screening package versus no vision screening (standard care)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Not seeing well (as defined by each trial) Show forest plot

6

4522

Risk Ratio (M‐H, Fixed, 95% CI)

1.05 [0.97, 1.14]

Figures and Tables -
Comparison 1. Vision screening as part of multi‐component screening package versus no vision screening (standard care)