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Cochrane Database of Systematic Reviews

Planificación del alta del hospital

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Información

DOI:
https://doi.org/10.1002/14651858.CD000313.pub5Copiar DOI
Base de datos:
  1. Cochrane Database of Systematic Reviews
Versión publicada:
  1. 27 enero 2016see what's new
Tipo:
  1. Intervention
Etapa:
  1. Review
Grupo Editorial Cochrane:
  1. Grupo Cochrane de Práctica y organización sanitaria efectivas

Copyright:
  1. Copyright © 2016 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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Contraer

Autores

  • Daniela C. Gonçalves‐Bradley

    Nuffield Department of Population Health, University of Oxford, Oxford, UK

  • Natasha A Lannin

    Occupational Therapy, Alfred Health, Prahran, Australia

  • Lindy M Clemson

    Faculty of Health Sciences, University of Sydney, Lidcombe, Australia

  • Ian D Cameron

    John Walsh Centre for Rehabilitation Research, Kolling Institute, Northern Sydney Local Health District, St Leonards, Australia

  • Sasha Shepperd

    Correspondencia a: Nuffield Department of Population Health, University of Oxford, Oxford, UK

    [email protected]

Contributions of authors

Daniela Gonҫalves‐Bradley (DCGB) scanned the abstracts and extracted data for this update and took the lead in analysing the data and updating the text of the review. Natasha Lannin (NL), Lindy Clemson (LC) and Ian Cameron (IC) scanned the abstracts and extracted data. Sasha Shepperd (SS) co‐authored the protocol for the review with Julie Parkes (no longer an author), extracted and analysed data for previous versions of this review, and led the writing of the review.

Sources of support

Internal sources

  • Anglia and Oxford Regional Research and Development Programme, UK.

External sources

  • NIHR Evidence Synthesis Award to SS and NHS Cochrane Collaboration Programme Grant Scheme, UK.

  • NIHR Evidence Synthesis Award; and an NIHR Cochrane Programme grant for the last two updates., UK.

Declarations of interest

DCGB: none known.
NL: none known.
LC: none known.
IC: none known.
SS: none known.

Acknowledgements

Diana Harwood for assisting in scanning abstracts retrieved from electronic searches for the original review; Andy Oxman for commenting on all versions of this review; Jeremy Grimshaw and Darryl Wieland for helpful comments on earlier drafts and Luciana Ballini, Tomas Pantoja, Craig Ramsey, Darryl Weiland and Kirsten Woodend for comments on the previous update; Nia Roberts for conducting the literature searches; and Julie Parkes, Christopher Phillips, Jacqueline McClaran, Sarah Barras, and Annie McCluskey for contributing to previous versions of this review (Parkes 2000; Shepperd 2010, Shepperd 2013).

Version history

Published

Title

Stage

Authors

Version

2022 Feb 24

Discharge planning from hospital

Review

Daniela C Gonçalves-Bradley, Natasha A Lannin, Lindy Clemson, Ian D Cameron, Sasha Shepperd

https://doi.org/10.1002/14651858.CD000313.pub6

2016 Jan 27

Discharge planning from hospital

Review

Daniela C. Gonçalves‐Bradley, Natasha A Lannin, Lindy M Clemson, Ian D Cameron, Sasha Shepperd

https://doi.org/10.1002/14651858.CD000313.pub5

2013 Jan 31

Discharge planning from hospital to home

Review

Sasha Shepperd, Natasha A Lannin, Lindy M Clemson, Annie McCluskey, Ian D Cameron, Sarah L Barras

https://doi.org/10.1002/14651858.CD000313.pub4

2010 Jan 20

Discharge planning from hospital to home

Review

Sasha Shepperd, Jacqueline McClaran, Christopher O Phillips, Natasha A Lannin, Lindy M Clemson, Annie McCluskey, Ian D Cameron, Sarah L Barras

https://doi.org/10.1002/14651858.CD000313.pub3

2004 Jan 26

Discharge planning from hospital to home

Review

Sasha Shepperd, Julie Parkes, Jacqueline JM McClaran, Christopher Phillips

https://doi.org/10.1002/14651858.CD000313.pub2

2000 Aug 17

Discharge planning from hospital to home

Review

J Parkes, Sasha S Shepperd

https://doi.org/10.1002/14651858.CD000313

Differences between protocol and review

We performed post hoc subgroup analyses for patients admitted to hospital following a fall and patients admitted to a mental health setting. We performed a post hoc sensitivity analysis by imputing a missing standard deviation for one trial. We made a post hoc decision to exclude studies that were considered to be methodologically weak. We added new analysis to the summary of findings table by including results for the patients admitted to hospital following a fall, patients and healthcare professionals satisfaction, and costs. We merged the outcome "Psychological health of patients" with the outcome "Patient health status".

Keywords

MeSH

PICO

Population
Intervention
Comparison
Outcome

El uso y la enseñanza del modelo PICO están muy extendidos en el ámbito de la atención sanitaria basada en la evidencia para formular preguntas y estrategias de búsqueda y para caracterizar estudios o metanálisis clínicos. PICO son las siglas en inglés de cuatro posibles componentes de una pregunta de investigación: paciente, población o problema; intervención; comparación; desenlace (outcome).

Para saber más sobre el uso del modelo PICO, puede consultar el Manual Cochrane.

PRISMA flow diagram
Figuras y tablas -
Figure 1

PRISMA flow diagram

Methodological quality summary: review authors' judgements about each methodological quality item for each included study.
Figuras y tablas -
Figure 2

Methodological quality summary: review authors' judgements about each methodological quality item for each included study.

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 1 Hospital length of stay ‐ older patients with a medical condition.
Figuras y tablas -
Analysis 1.1

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 1 Hospital length of stay ‐ older patients with a medical condition.

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 2 Sensitivity analysis imputing missing SD for Kennedy trial.
Figuras y tablas -
Analysis 1.2

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 2 Sensitivity analysis imputing missing SD for Kennedy trial.

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 3 Hospital length of stay ‐ older surgical patients.
Figuras y tablas -
Analysis 1.3

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 3 Hospital length of stay ‐ older surgical patients.

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 4 Hospital length of stay ‐ older medical and surgical patients.
Figuras y tablas -
Analysis 1.4

Comparison 1 Effect of discharge planning on hospital length of stay, Outcome 4 Hospital length of stay ‐ older medical and surgical patients.

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 1 Within 3 months of discharge from hospital.
Figuras y tablas -
Analysis 2.1

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 1 Within 3 months of discharge from hospital.

Study

Readmission rates

Notes

Evans 1993

At 4 weeks:
T = 103/417 (24%), C = 147/418 (35%)
Difference − 10.5%; 95% CI − 16.6% to − 4.3%, P < 0.001

At 9 months:
T = 229/417 (55%), C = 254/418 (61%)
Difference − 5.8%; 95% CI −12.5% to 0.84%, P = 0.08

Figuras y tablas -
Analysis 2.2

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 2 Patients with medical or surgical condition.

Study

Readmission rates

Notes

Farris 2014

At 30 d:

I = 47/281 (17%), C = 43/294 (15%)

Difference 2%; 95% CI − 0.04% to 0.08%

At 90 d:

ET = 49/281 (17%), C = 47/294 (16%)

Difference 1%; 95% CI − 5% to 8%

Gillespie 2009

At 12 months:

I = 106/182 (58.2%), C = 110/186 (59.1%)

Difference − 0.9%, 95% CI − 10.9% to 9.1%

Goldman 2014

At 30 d:

I = 50/347 (14%), C = 47/351 (13%)

Difference 1%; 95% CI − 4% to 6%

At 90 d:

I = 89/347 (26%), C = 77/351 (22%)

Difference 3.7%; 95% CI − 2.6% to 10%

Data provided by the trialists

Kennedy 1987

At 1 week:
I = 2/38 (5%), C = 8/40 (20%)
Difference − 15%; 95% CI − 29% to − 0.4%

At 8 weeks:
I = 11/39 (28%), C = 14/40 (35%)
Difference − 7%; 95% CI − 27.2% to 13.6%

Lainscak 2013

At 90 d:

COPD− related

I = 14/118 (12%), C = 33/135 (24%)

Difference 12%; 95% CI 3% to 22%

All‐cause readmission

T = 25/118 (21%), C = 43/135 (32%)

Difference 11%; 95% CI − 0.3% to 21%

Data provided by the trialists; data also available for 30− and 180− d

Laramee 2003

At 90 d:
T = 49/131 (37%), C = 46/125 (37%), P > 0.99

Readmission days:
T= 6.9 (SD 6.5), C = 9.5 (SD 9.8)

Moher 1992

At 2 weeks:
T = 22/136 (16%), C = 18/131 (14%)
Difference 2%; 95% CI − 6% to 11%, P = 0.58

Naylor 1994

Within 45‐90 d:
T = 11/72 (15%), C = 11/70 (16%)
Difference 1%; 95% CI − 8% to 12%

Authors also report readmission data for 2‐6 weeks follow up

Nazareth 2001

At 90 d:
T = 64/164 (39%), C = 69/176 (39.2%)
Difference 0.18; 95% CI − 10.6% to 10.2%

At 180 d:
T = 38/136 (27.9%), C = 43/151 (28.4%)
Difference 0.54; 95% CI − 11 to 9.9%

Shaw 2000

At 90 d:
T = 5/51 (10%), C = 12/46 (26%)
OR 3.25; 95% CI 0.94 to 12.76, P = 0.06

Authors also report data for readmission due to non‐compliance with medication

At 3 months:
T = 4/51 (8%), C = 7/46 (15%)
Difference − 7%; 95% CI − 0.2 to 0.05

Weinberger 1996

Number of readmissions per month
T = 0.19 (+ 0.4) (n = 695), C = 0.14 (+ 0.2), P = 0.005 (n = 701)

At 6 months:
T = 49%, C = 44%, P = 0.06
Treatment group readmitted 'sooner' (P = 0.07)

Non‐parametric test used to calculate P values for monthly readmissions

Figuras y tablas -
Analysis 2.3

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 3 Patients with a medical condition.

Study

Readmission rates

Notes

Naylor 1994

Within 6 to 12 weeks:
T = 7/68 (10%), C = 5/66 (7%)
Difference 3%; 95% CI 7% to 13%

Figuras y tablas -
Analysis 2.4

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 4 Patients who have had surgery.

Study

Readmissions

Mean time to readmission

Naji 1999

At 6 months:
T = 33/168 (19.6%), C = 48/175 (27%)
Difference 7.4%; 95% CI − 1.1% to 16.7%

Mean time to readmission T = 161 d, C = 153 d

Figuras y tablas -
Analysis 2.5

Comparison 2 Effect of discharge planning on unscheduled readmission rates, Outcome 5 Patients with a mental health diagnosis.

Study

Days in hospital

Notes

Naylor 1994

Medical readmission days

2 weeks: T = 21 d (n = 72), C = 73 d (n = 70)
Difference − 52 d; 95% CI − 78 to − 26

2 to 6 weeks: T = 16 d (n = 72), C = 49 d (n = 70)
Difference − 33 d; 95% CI − 53 to − 13

6 to 12 weeks: T = 94 d (n = 72), C = 100 d (n = 70)
Difference − 6 d; 95% CI − 83 to 71

Weinberger 1996

Medical readmission days at 6 months follow up: T = 10.2 (19.8), C = 8.8 (19.7) difference 1.4 d, P = 0.04

Figuras y tablas -
Analysis 3.1

Comparison 3 Effect of discharge planning on days in hospital due to unscheduled readmission, Outcome 1 Patients with a medical condition.

Study

Days in hospital

Notes

Evans 1993

Readmission days at 9 months:
T = 10.1 ± 8.3, C = 12.1 ± 9.1, P = 0.001; 95% CI − 3.18 to − 0.82

Hendriksen 1990

T = 15.5 d per readmission
C = 13.5 d per readmission
P > 0.05

Not possible to calculate exact P

Rich 1993a

Days to first readmission

Overall: T = 31.8 (5.1) (n = 63), C = 42.1 (7.3) (n = 35)
Moderate‐risk group: T = 35.1 (9.0) (n = 40), C = 28.6 (7.2) (n = 21)
High‐risk group: T = 27.8 (3.5) (n = 23), C = 50.2 (10.5) (n = 14)

Figuras y tablas -
Analysis 3.2

Comparison 3 Effect of discharge planning on days in hospital due to unscheduled readmission, Outcome 2 Patients with a medical or surgical condition.

Study

Days in hospital

Notes

Naylor 1994

Surgical readmission days

2 weeks: T = 34 d (n = 68), C = 32 d (n = 66)
Difference 2 d; 95% CI − 13 to 17

2 to 6 weeks: T = 63 (n = 68), C = 52 (n = 66)
Difference 11 d; 95% CI − 20 to 52

6 to 12 weeks: T = 52 (n = 68), C = 26 (n = 66)
Difference 26 d; 95% CI − 8 to 60

Figuras y tablas -
Analysis 3.3

Comparison 3 Effect of discharge planning on days in hospital due to unscheduled readmission, Outcome 3 Patients with a surgical condition.

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 1 Patients discharged from hospital to home.
Figuras y tablas -
Analysis 4.1

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 1 Patients discharged from hospital to home.

Study

Place of discharge

Notes

Goldman 2014

Discharged to an institutional setting:

T = 19/347 (5.5%), C = 9/352 (2.6%)

Difference 2.9%; 95% CI − 0.04% to 6%

Kennedy 1987

At 2 weeks:
87% no change in placement from time of discharge to 2‐week follow‐up time (both groups)
At 4 weeks: majority no change (both groups)

No data shown

Legrain 2011

Discharged home or to a nursing home:

T = 183/317

C = 191/348

Lindpaintner 2013

Discharged home

T = 25/30 (83%), C = 30/30 (100%)

Difference 17%, 95% CI 2 to 34%

Moher 1992

Discharged home:
T = 111/136 (82%), C = 104/131 (79%)
Difference 2.2%; 95% CI − 7.3% to 11.7%

Naughton 1994

Discharged to nursing home:
T = 3/51 (5.9%) C = 2/60 (3.3%)
Difference 2.5%; 95% CI − 5.3% to 10.4%

Sulch 2000

Discharged home:
T = 56/76 (74%), C = 54/76 (71%)

Discharged to an institution:
T = 10/76 (13%), C = 16/76 (21%)
OR 1.5; 95% CI 0.5 to 2.8

Figuras y tablas -
Analysis 4.2

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 2 Patients with a medical condition.

Study

Place of discharge

Notes

Evans 1993

Discharged to home:
T = 330/417 (79%), C = 305/418 (73%)
P = 0.04 difference 6%; 95% CI 0.39% to 12%

Home at 9 months:
T = 259/417 (62%), C = 225/418 (54%)
P = 0.01 difference 8.3%; 95% CI 1.6% to 15%

Hendriksen 1990

Discharged to nursing home:
T = 0/135 (0%), C = 3/138 (2%)
Difference − 2%; 95% CI − 4.6% to 0.26%

At 6 months: admitted to another institution
T = 3/135 (2%), C = 14/138 (10%)
Difference ‐8%; 95% CI − 13.5% to − 2.3%

Figuras y tablas -
Analysis 4.3

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 3 Patients with a medical or surgical condition.

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 4 Older patients admitted to hospital following a fall in residential care at 1 year.
Figuras y tablas -
Analysis 4.4

Comparison 4 Effect of discharge planning on patients' place of discharge, Outcome 4 Older patients admitted to hospital following a fall in residential care at 1 year.

Comparison 5 Effect of discharge planning on mortality, Outcome 1 Mortality at 6 to 9 months.
Figuras y tablas -
Analysis 5.1

Comparison 5 Effect of discharge planning on mortality, Outcome 1 Mortality at 6 to 9 months.

Study

Mortality at 9 months

Notes

Evans 1993

T = 66/417 (16%)
C = 67/418 (16%)

Figuras y tablas -
Analysis 5.2

Comparison 5 Effect of discharge planning on mortality, Outcome 2 Mortality for trials recruiting both patients with a medical condition and those recovering from surgery.

Study

Mortality at 12 months

Notes

Gillespie 2009

T: 57/182 (31%); C: 61/186 (33%)

Difference − 2%, 95% CI − 11% to 8%

Figuras y tablas -
Analysis 5.3

Comparison 5 Effect of discharge planning on mortality, Outcome 3 Mortality at 12 months.

Study

Patient health outcomes

Notes

Harrison 2002

SF‐36

Baseline

Physical component

T = 28.63 (SD 9.46) N = 78
C = 28.35 (SD 9.11) N = 78

Mental component

T = 50.49 (SD 12.45) N = 78
C = 49.81 (SD 11.36) N = 78

At 12 weeks

Physical component

T = 32.05  (SD 11.81) N = 77
C = 28.31 (SD 10.0) N = 74

Mental component

T = 53.94 (SD 12.32) N = 78
C = 51.03 (SD 11.51) N = 78

Minnesota Living with Heart Failure Questionnaire (MLHFQ)

At 12 week follow‐up (See table 4) n, %

Worse: T = 6/79 (8), C = 22/76 (29)
Same: T = 7/79 (9), C = 10/76 (13)
Better: T = 65/79 (83), C = 44/76 (58)

SF‐36 a higher score indicates better health status

MLHFQ a lower score indicates less disability from symptoms

Kennedy 1987

Long Term Care Information System (LTCIS)

Health and functional status (also measures services required)

No data reported

Lainscak 2013

St. George’s Respiratory
Questionnaire (SGRQ)

Change from 7 to 180 d after discharge

T = 1.06 (95% CI 9.50 to 8.43), C = − 0.11 (95% CI − 11.34 to 8.12)

Complete data available for only approximately half of the patients.

For the SGRQ, higher scores indicate more limitations; minimal clinically important difference estimated as 4 points.

Naylor 1994

Data aggregated for both groups. Mean Enforced Social Dependency Scale increased from 19.6 to 26.3 P < 0.01

No data reported for each group. Decline in functional status reported for all patients.

Functional status. Scale measured:

  • Mental status

  • Perception of health

  • Self‐esteem

  • Affect

Not possible to calculate exact P value

Nazareth 2001

General well‐being questionnaire: 1 = ill health, 5 = good health

At 3 months:
T = 76, mean 2.4 (SD 0.7)
C = 73, mean 2.4 (SD 0.6)

At 6 months:
T = 62, mean 2.5 (SD 0.6)
C = 61, mean 2.4 (SD 0.7)

Mean difference 0.10; 95% CI − 0.14 to 0.34

Preen 2005

SF‐12 (N not reported for follow‐up)

Mental component score

Predischarge score:

T = 37.4 SD 5.4
C = 39.8 SD 6.1

7 d postdischarge:

T = 42.4 SD 5.6
C = 40.9 SD 5.7

Physical component score

Predischarge score:

T = 27.8 SD 4.8
C = 28.3 SD 4.7

7 d postdischarge:

T = 27.2 SD 4.5
C = 27.2 SD 4.1

Rich 1995a

Chronic Heart Failure Questionnaire

Treatment N = 67, Control N = 59

Total score

At baseline:

T = 72.1 (15.6), C = 74.4 (16.3) 

At 90 d:

T = 94.3 (21.3), C = 85.7 (19.0)

Change score = 22.1 (20.8), P = 0.001 

Dyspnoea

At baseline:

T = 9.0 (7.9), C = 8.1 (7.7) 

At 90 d:

T = 15.8 (12.8), C = 11.9 (10.0)

Change score 6.8 (7.9)

Fatigue

At baseline:

T = 12.9 (5.3), C = 14.1 (5.6)

At 90 d:

T = 18.3 (6.3), C = 16.8 (5.5)

Change score 5.4 (5.5) 

Emotional function

At baseline:

T = 31.9 (8.5), C = 33.3 (8.1)

At 90 d:

T = 37.4 (7.8), C = 35.2 (8.4)

Change score 5.6 (7.1)

Environmental mastery

At baseline:

T = 18.3 (5.8), C = 18.9 (4.8)

At 90 d:

T = 22.7 (4.9), C = 21.7 (4.6)

Change score 4.4 (5.3)

Chronic Heart Failure Questionnaire contains 20 questions that the patient is asked to rate on a scale 1 to 7 with a low score indicating poor quality of life

Sulch 2000

Barthel activities of daily living
Median scores

At 4 weeks:
T = 13, C = 11

At 12 weeks:
T = 15, C = 17

At 26 weeks:
T = 17, C = 17

Median change from 4 to 12 weeks: P < 0.01

Rankin score
Median score

At 4 weeks:
T = 1, C = 1

At 12 weeks:
T = 3, C = 3

At 26 weeks:
T = 3, C = 3

Hospital anxiety and depression scale
Anxiety
Median scores

At 4 weeks:
T = 5, C = 5

At 12 weeks:
T = 4, C = 4

At 26 weeks
T = 4, C = 4

Depression
Median scores

At 4 weeks:
T = 6, C = 5

At 12 weeks:
T = 5, C = 5

At 26 weeks:
T = 5, C = 5

EuroQol
At 4 weeks:
T = 41, C = 44

Median scores
At 4 weeks:
T = 41, C = 44
P = 0.10

At 12 weeks:
T = 59, C = 65
P = 0.07

At 26 weeks:
T = 63, C = 72
P < 0.005

The Barthel ADL Index covers activities of daily living; scores range from 0 to 20, with higher scores indicating better functioning.

The Rankin scale assesses activities of daily living in people who have had a stroke; it contains 7 items with scores ranging from 0 to 6. Higher scores indicating more disability.

The Hospital Anxiety and Depression Scale is a 14‐item Likert scale (0‐3); scores range from 0 to 21 for each subscale (anxiety and depression), with higher scores indicating more burden from symptoms.

The EuroQol contains 5 items; higher scores indicate better self‐perceived health status.

Not possible to calculate exact P value

Weinberger 1996

At 1 month: no significant differences
P = 0.99

At 3 months: no significant differences
P = 0.53

SF‐36

No data shown

Figuras y tablas -
Analysis 6.1

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 1 Patient‐reported outcomes: Patients with a medical condition.

Study

Patient health outcomes

Notes

Lin 2009

OARS Multidimensional Functional Assessment Questionnaire (Chinese version) at 3 months follow‐up

Mean (SD)

T = 16.92 (1.41)

C = 16.83 (1.71)

9 components, each component scored 0 to 2 with a total score range 0‐18.

 

Lin 2009

SF 36 Mean (SD)

Physical aspects

Pre‐test T: 74.09 (21.05), C: 68.15 (21.62)

Post‐test T: 49.05 (16.27), C: 39.56 (16.76)

Between group difference P = 0.09

Physical functioning

Pre‐test T: 74.80 (25.15), C: 73.33 (18.04)

Post‐test T: 55.77 (22.56), C: 51.46 (24.82)

Between group difference P = 0.60

Role physical

Pre‐test T: 66.34 (47.40), C: 65.63 (44.12)

Post‐test T:16.34 (34.60), C: 12.50 (33.78)

Between group difference P = 0.78

Bodily pain

Pre‐test T: 88.15 (18.48), C: 77.08 (22.44)

Post‐test T: 55.16 (23.20), C: 38.58 (27.68)

Between group difference p=0.009

General health perceptions

Pre‐test T: 67.03 (15.31), C: 56.54 (19.96)

Post‐test T: 68.46 (16.55), C: 55.70 (22.23)

Between group differences p=0.03

Mental aspects

Pre‐test T: 74.49 (16.66), C: 68.24 (15.09)

Post‐test T: 50.57 (18.72), C: 43.43 (17.28)

Between group difference P = 0.09

Mental health

Pre‐test T: 71.23 (12.18), C: 67.83 (12.28)

Post‐test T: 22.30 (10.31), C: 20.00 (11.62)

Between group difference P = 0.27

Role emotion

Pre‐test T: 76.92 (40.84), C: 68.05 (41.10)

Post‐test T: 52.56 (44.39), C: 54.16 (41.49)

Between group difference P = 0.71

Social functioning

Pre‐test T: 80.76 (15.09), C: 77.08 (15.93)

Post test T: 61.01 (24.32), C: 45.83 (20.41)

Between group difference P = 0.03

Vitality

Pre‐test T: 69.03 (12.88), C: 60.00 (11.70)

Post‐test T: 66.34 (16.94), C: 53.75 (21.93)

Between group difference P = 0.004

Naylor 1994

No differences between groups reported

No data reported

Naylor 1994

Figuras y tablas -
Analysis 6.2

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 2 Patient‐reported outcomes: Patients with a surgical condition.

Study

Patient health outcomes

Notes

Evans 1993

At 1 month: mean (SD)
T = 85.3 (21.0) n = 417
C = 86.5 (21.0) n = 418
Difference − 1.2; 95% CI − 4.05 to 1.65

Barthel score
(scale 1 to 100)

Pardessus 2002

Functional Autonomy Measurement System (SMAF)

At 6 months:
Mean scores T = 29.55 ± 2.64, C = 37.73 ± 2.40

At 12 months:
T = 31.76 ± 3.53, C = 39.25 ± 2.3

Katz ADL

At 6 months:
Mean scores T = 3.79 ± 0.32, C = 3.11 ± 0.27

At 12 months:
Means scores T = 3.84 ±  0.33, C = 2.76 ± 0.29

IADL

At 6 months:
Mean scores T = 2.41 ±  0.20, C = 2.96 ± 0.18

At 12 months:
T = 2.24 ± 0.19, C = 3.14 ± 0.16

The SMAF scale assesses seven fields of activities of daily living. It has 22 items with scores ranging from 0 (total independence) to 87 (total dependence)

The Katz ADL scale covers six ADLs, with scores ranging from 0 (totally dependent) to 6 (totally independent).

Figuras y tablas -
Analysis 6.3

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 3 Patient‐reported outcomes: Patients with a medical or surgical condition.

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 4 Falls at follow‐up: patients admitted to hospital following a fall.
Figuras y tablas -
Analysis 6.4

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 4 Falls at follow‐up: patients admitted to hospital following a fall.

Study

Patient health outcomes

Notes

Naji 1999

Hospital Anxiety Depression Scale
At 1 month after discharge, median (IQR)

Anxiety
T = 11.0 (6.0, 15.0), C = 10.0 (5.0, 14.0)
Mann Whitney P = 0.413

Depression
T = 9.5 (5.0, 13.3), C = 7.0 (3.0, 11.0)
Mann Whitney P = 0.016

Behavioural and Symptom Identification Scale

Relation to self/other
T = 1.8 (1.2, 2.8), C = 1.7 (0.4, 2.7)
Mann Whitney P = 0.10 

Depression/anxiety
T = 1.7 (0.8, 2.7), C = 1.5 (0.4, 2.4)
Mann Whitney P = 0.46

Daily living/role functioning
T = 2.0 (0.9, 2.8), C = 1.8 (0.8, 2.8)
Mann Whitney P = 0.37

Impulsive/addictive behaviour
T = 0.7 (0.3, 1.6), C = 0.7 (0.1, 1.5)
Mann Whitney P = 0.89

Psychosis
T = 0.5 (0.2, 0.8), C = 0.7 (0.2, 1.0)
Mann Whitney P = 0.31

Total symptom score
T = 1.4 (0.6, 2.1), C = 1.3 (0.5, 2.1)
Mann Whitney P = 0.54

Figuras y tablas -
Analysis 6.5

Comparison 6 Effect of discharge planning on patient health outcomes, Outcome 5 Patient‐reported outcomes: Patients with a mental health diagnosis.

Study

Satisfaction

Notes

Patient and care givers' satisfaction

Laramee 2003

Mean hospital care: T = 4.2 (N = 120), C = 4.0 (N = 100), P = 0.003

Mean hospital discharge: T = 4.3 (N = 120), C = 4.0 (N = 100), P < 0.001

Mean care instructions: T = 4.0 (N = 120), C = 3.4 (N = 100), P < 0.001

Mean recovering at home: T = 4.4 (N = 120), C = 3.9 (N = 100), P < 0.001

Mean total score: T = 4.2 (N = 120), C = 3.8 (N = 100), P < 0.001

Lindpaintner 2013

Satisfaction with discharge process

At 5 d (median and IQR)

Patients: T = 1 (0), C = 1 (1‐2)

Carers: T = 1 (0), C = 1 (1‐2)

At 30 d

Patients: T = 1 (1‐2), C = 1 (1‐2)

Carers: T = 1 (1‐2), C = 2 (1‐3)

4‐point Likert‐scale, lower scores indicate higher satisfaction

Moher 1992

Satisfied with medical care:
T = 89%, C = 62%
Difference 27%; 95% CI 2% to 52%, P < 0.001

"Please rate how satisfied you were with the care you received…"

Subgroup of 40 patients, responses from 18 in the treatment group and 21 in the control group

Nazareth 2001

Client satisfaction questionnaire score (1 = dissatisfied, 4 = satisfied)

At 3 months:
T = 76, mean 3.3 (SD 0.6)
C = 73, mean 3.3 (SD 0.6)

At 6 months:
T = 62, mean 3.4 (SD 0.6)
C = 61, mean 3.2 (SD 0.6)
Mean difference 0.20; 95% CI − 0.56 to 0.96

Weinberger 1996

At 1 month:
Treatment group more satisfied, P < 0.001

At 6 months:
Treatment group more satisfied, P < 0.001

Authors report differences were greatest for patients' perceptions of continuity of care and non‐financial access to medical care

Patient Satisfaction Questionnaire, 11 domains with a 5‐point scale

Professional's satisfaction

Bolas 2004

Standard of information at discharge improved

GPs: 57% agreed

Community pharmacists: 95% agreed

Response rate of 55% (GPs) and 56% (community pharmacists)

No information provided about the survey

Lindpaintner 2013

Satisfaction with discharge process

At 5 d (median and IQR)

Primary care physician: T = 1 (1‐2), C = 2 (1‐3)

Visiting nurse: T = 1 (1‐2), C = 2 (1‐4)

At 30 d (median and IQR)

Primary care physician: T = 2 (1‐3), C = 1 (1‐2)

Number of respondents ranged between 15 (visiting nurse) and 30 (PCP)

4‐point Likert scale, lower scores indicate higher satisfaction

Figuras y tablas -
Analysis 7.1

Comparison 7 Effect of discharge planning on satisfaction with care process, Outcome 1 Satisfaction.

Study

Costs

Notes

Gillespie 2009

Total

T: USD 12000; C: USD 12500

Mean difference: − USD 400 (− USD 4000 to USD 3200)

Visits to ED

T: USD 160; C: USD 260

Mean difference: − USD 100 (− USD 220 to − USD 10)

Readmissions

T: USD 12000; C: USD 12300 Mean difference: − USD 300 (− USD 3900 to USD 3300)

Costs calculated for 2008

Laramee 2003

Total inpatient and outpatient median costs
T = USD 15,979
C = USD 18,662

P = 0.14

The case manager (CM) kept a log during the first, middle and last 4 weeks of the recruitment period of how much time was spent with each patient during the 12‐week study period. Thus,
the average cost of the intervention was calculated based on an hourly wage (including benefits) of USD 33.93 for the CM. The average intervention cost per patient was USD 228.52, and the average time spent with each intervention patient was 6.7 h per 12 weeks.

Naughton 1994

Number:
T = 51, C = 60

Total cost of hospital care including breakdown of costs for laboratory, diagnostic imaging, pharmacy and rehabilitation services

Naylor 1994

Initial stay mean charges (USD):
T = 24,352 ± 15,920 (n = 72)
C = 23,810 ± 18,449 (n = 70)
Difference 542 (CI − 5121 to 6205)

Medical readmission total charges in USD (CIs are in thousands):

At 2 weeks:
T = 68,754
C = 239,002
Difference = − 170,247 (CI − 253 to − 87)

2‐6 weeks:
T = 52,384
C = 189,892
Difference = − 137,508 (CI − 210 to − 67)

6‐12 weeks:
T = 471,456
C = 340,496
Difference = 130,960 (CI − 205 to 467)

Charge data were used to calculate the cost of the initial hospitalisation

Readmission costs were calculated using the mean charge per day of the index hospitalisations times the actual number of days of subsequent hospitalisations, as patients were readmitted to a variety of hospitals with a wide range of charges

Total charges including readmission charges (first readmission only if multiple readmissions)

Rich 1995a

Intervention cost

USD 216 per patient

Caregiver cost

T = USD 1164, C = USD 828
Difference USD 336

Other medical care

T = USD 1257, C = USD 1211
Difference USD 46

Readmission costs

T = USD 2178, C = USD 3236
Difference − USD 1058

All costs

T = USD 4815, C = USD 5275
Difference − USD 460

Figuras y tablas -
Analysis 8.1

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 1 Patients with a medical condition.

Study

Costs

Notes

Naylor 1994

Surgical initial stay mean charges (USD):
T = 105,936 ± 52,356 (n = 68)
C = 98,640 ± 52,331 (n = 66)
Difference 7296 (CI − 5141 to 19,733)


Surgical readmission total charges (USD):

At 2 weeks:
T = 111,316
C = 104,768
Difference = 6548 (CI − 43 to 56)

2‐6 weeks:
T = 209,536
C = 170,248
Difference = 39,288 (CI − 66 to 144)

6‐12 weeks:
T = 170,248
C = 85,124
Difference = 85,124 (CI − 28 to 198)

Charge data were used to calculate the cost of the initial hospitalisation

Total charges including readmission charges (first readmission only if multiple readmissions)

Readmission costs were calculated using the mean charge per day of the index hospitalisations times the actual number of T of subsequent hospitalisations, as patients were readmitted to a variety of hospitals with a wide range of charges

Figuras y tablas -
Analysis 8.2

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 2 Patients with a surgical condition.

Study

Costs

Notes

Naji 1999

T = an additional GBP 1.14 per patient

Intervention can avert 3 outpatient appointments for every 10 patients

Telephone calls: T = 124/168 (86%), C = 19/175 (12%)

Figuras y tablas -
Analysis 8.3

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 3 Patients with a mental health diagnosis.

Study

Costs

Notes

Jack 2009

Follow‐up PCP appointments were given an estimated cost of USD 55, on the basis of costs from an average hospital follow‐up visit at Boston Medical Center

Legrain 2011

The cost savings balanced against the cost of the intervention reported to be EUR 519/patient

Legrain 2011

Total cost of adverse drug reactions‐related admissions (180 days follow‐up)

T = USD 487/participant

C = USD 1184/participant

P = 0.13

Figuras y tablas -
Analysis 8.4

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 4 Patients admitted to a general medical service.

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 5 Hospital outpatient department attendance.
Figuras y tablas -
Analysis 8.5

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 5 Hospital outpatient department attendance.

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 6 First visits to the emergency room.
Figuras y tablas -
Analysis 8.6

Comparison 8 Effect of discharge planning on hospital care costs, Outcome 6 First visits to the emergency room.

Study

Use of services

Notes

Farris 2014

Unscheduled office visits

At 30 d

T = 31/281 (11%), C = 32/294 (11%)

Difference 0%; 95% CI − 5% to 5%

At 90 d

T = 42/281 (15%), C = 33/294 (11%)

Difference 4%; 95% CI − 2 to 9%

Results for Enhanced vs Control intervention (results for minimal intervention not reported)

Goldman 2014

Primary care visits at 30 d

T = 189/301 (62.8%), C = 186/316 (58.9%)

Difference 4%; 95% CI − 3.7% to 11.5%

Laramee 2003

Visiting Nurse postdischarge:
T = 70/141(50%), Control: 64/146 (44%)

Nazareth 2001

General practice attendance:

At 3 months:
T = 101/130 (77.7%)
C = 108/144 (75%)
Difference 2.7%; 95% CI − 7.4 to 12.7%

At 6 months:
T = 76/107 (71%)
C = 82/116 (70.7%)
Difference 0.3%; 95% CI −11.6 to 12.3%

Weinberger 1996

Median time from hospital discharge to the first visit:
Treatment 7 d
Control 13 d
P < 0.001

Visit at least one general medicine clinic in 6‐month follow up:
Treatment 646/695 (93%)
Control 540/701 (77%)
Difference 16%; 95% CI 12.3% to 19.6%, P < 0.001

Mean number of visits to general medical clinic:
Treatment 3.7
Control 2.2
P < 0.001

Figuras y tablas -
Analysis 9.1

Comparison 9 Effect of discharge planning on primary and community care costs, Outcome 1 Patients with a medical condition.

Study

Number of problems

Notes

Bolas 2004

Intervention group demonstrated a higher rate of reconciliation of patient's own drugs with the discharge prescription; 90% compared to the 44% in the control group

Shaw 2000

Mean number of problems (SD)

At 1 week:
T = 2.0 (1.3), C = 2.5 (1.6)

At 4 weeks:
T = 1.9 (1.5), C = 2.9 (1.8)

At 12 weeks:
T = 1.4 (1.2), C = 2.4 (1.6)

Problems included difficulty obtaining a prescription from the GP; insufficient knowledge about medication; non‐compliance

Figuras y tablas -
Analysis 10.1

Comparison 10 Effect of discharge planning on medication use, Outcome 1 Medication problems after being discharged from hospital.

Study

Adherence to medicines

Notes

Nazareth 2001

At 3 months:
T = 79, mean 0.75 (SD 0.3), C = 72 mean 0.75 (SD 0.28)

At 6 months:
T = 60, mean 0.78 (SD 0.30), C = 58 mean 0.78 (SD 0.30)

0 = none
1 = total/highest level

Rich 1995a

Taking 80% or more of prescribed pills at 30 d after discharge

T = 117/142 (82.5%), C = 91/140  (64.9%)

Figuras y tablas -
Analysis 10.2

Comparison 10 Effect of discharge planning on medication use, Outcome 2 Adherence to medicines.

Study

Knowledge

Notes

Bolas 2004

Mean error rate in knowledge of drug therapy at 10‐14 d follow up

Drug name T = 15%, C = 43%, P < 0.001

Drug dose T = 14%, C = 39%, P < 0.001

Frequency T = 15%, C = 39%, P < 0.001

(n for each group not reported)

Nazareth 2001

At 3 months:
T = 86, mean 0.69 (SD 0.33)
C = 83, mean 0.62 (SD 0.34)

At 6 months:
T = 65, mean 0.69 (SD 0.35)
C = 68, mean 0.68 (SD 0.30)
Mean difference 0.01; 95% CI − 0.12 to 0.13

0 = none
1 = total/highest level

Shaw 2000

At 1 and 12 weeks post‐discharge:

Significant improvement in knowledge medication for both groups (no differences between groups)

Figuras y tablas -
Analysis 10.3

Comparison 10 Effect of discharge planning on medication use, Outcome 3 Knowledge about medicines.

Study

Hoarding

Notes

Bolas 2004

90% of people who brought drugs to the hospital were returned in the intervention group compared to 50% in the controls

Nazareth 2001

At 3 months:
T = 87, mean 0.006 (SD 0.04)
C = 82 mean 0.005 (SD 0.03)
Mean difference 0.001; 95% CI − 0.01 to 0.012

At 6 months
T = 70, mean 0.02 (SD 0.13)
C = 69 mean 0.013 (SD 0.06)
Mean difference 0.007; 95% CI − 0.013 to 0.27

0 = none
1 = total/highest level

Figuras y tablas -
Analysis 10.4

Comparison 10 Effect of discharge planning on medication use, Outcome 4 Hoarding of medicines.

Study

Eggink 2010

Following a review of medication by a pharmacist, 68% in the control group had at least one discrepancy or medication error compared to 39% in the intervention group (RR 0.57; 95% CI 0.37 to 0.88). The percent of medications with a discrepancy or error in the intervention group was 6.1% in intervention group and 14.6% in the control group (RR = 0.42; 0.27 to 0.66).

Kripalani 2012

Clinically important medication errors (total number of events; could be more than one per patient)

At 30 d

T = 370/423, M = 0.87 (SD 1.18)

C = 407/428, M = 0.95 (SD 1.36)

Figuras y tablas -
Analysis 10.5

Comparison 10 Effect of discharge planning on medication use, Outcome 5 Prescription errors.

Study

Medication appropriateness

Notes

Farris 2014

Discharge

T = 7.1 (SD 7.0), C = 6.1 (SD 6.6)

30 d post‐discharge

T = 10.1 (SD 8.9), C = 9.6 (SD 9.5)

P = 0.78

90 d post‐discharge

T = 11.6 (SD 10.5), C = 11.1 (11.3)

P = 0.94

As measured by the medication appropriateness index (MAI); summed MAI per participant

Results for Enhanced v Control intervention (results for minimal intervention not reported)

Figuras y tablas -
Analysis 10.6

Comparison 10 Effect of discharge planning on medication use, Outcome 6 Medication appropriateness.

Summary of findings for the main comparison. Effect of discharge planning on readmission and hospital length of stay

Effect of discharge planning on patients admitted to hospital with a medical condition

Patient or population: patients admitted to hospital
Settings: hospital
Intervention: discharge planning

Outcomes

Illustrative comparative risks* (95% CI)

Relative effect
(95% CI)

No. of participants
(studies)

Certainty of the evidence
(GRADE)

Comments

Assumed risk

Corresponding risk

Without discharge planning

With discharge planning

Unscheduled readmission within 3 months of discharge from hospital

Study population admitted with a medical condition

RR 0.87
(0.79 to 0.97)

4743
(15)

⊕⊕⊕⊝
moderatea

254 per 1000

221 per 1000
(200 to 246)

Moderate risk population

285 per 1000

248 per 1000
(225 to 276)

Study population admitted following a fall

RR 1.36

(0.46 to 4.01)

110

(2)

⊕⊝⊝⊝

very lowb

93 per 1000

126 per 1000

(43 to 371)

Moderate risk population

92 per 1000

125 per 1000

(42 to 369)

Hospital length of stay
Follow‐up: 3 to 6 months

Study population admitted with a medical condition

2193
(12 studies)

⊕⊕⊕⊝
moderated

The mean hospital length of stay ranged across control groups from
5.2 to 12.4 daysc

The mean hospital length of stay in the intervention groups was
0.73 lower
(95% CI 1.33 to 0.12 lower)

Satisfaction

Discharge planning may lead to increased satisfaction for patients and healthcare professionals.

6 studies

⊕⊕⊝⊝

low

Patient satisfaction was measured in different ways, and findings were not consistent across studies. Only 6/30 studies reported data for this outcome.

Costs

A lower readmission rate for those receiving discharge planning may be associated with lower health service costs in the short term. Differences in use of primary care varied.

5 studies

⊕⊝⊝⊝

very low

Findings were inconsistent. Healthcare resources that were assessed varied among studies, e.g., primary care visits, readmission, length of stay, laboratory services, medication, diagnostic imaging. The charges used to cost the healthcare resources also varied.

*The basis for the assumed risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; RR: Risk ratio.

GRADE Working Group grades of evidence
High:This research provides a very good indication of the likely effect. The likelihood that the effect will be substantially different (i.e., large enough to affect a decision) is low.
Moderate: This research provides a good indication of the likely effect. The likelihood that the effect will be substantially different is moderate.
Low: This research provides some indication of the likely effect. However, the likelihood that it will be substantially different is high.
Very low: This research does not provide a reliable indication of the likely effect. The likelihood that the effect will be substantially different is very high.

aThe evidence was downgraded to moderate as allocation concealment was unclear for 5 of the 15 trials.
bThe evidence was downgraded because of imprecision in the results due to 2 small trials.
cThe range excludes length of stay of 45 days reported by Sulch, as this was an outlier.
dThe evidence was downgraded to moderate as concealment of random allocation was unclear for 6 of the 11 trials.

Figuras y tablas -
Summary of findings for the main comparison. Effect of discharge planning on readmission and hospital length of stay
Comparison 1. Effect of discharge planning on hospital length of stay

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Hospital length of stay ‐ older patients with a medical condition Show forest plot

12

2193

Mean Difference (IV, Fixed, 95% CI)

‐0.73 [‐1.33, ‐0.12]

2 Sensitivity analysis imputing missing SD for Kennedy trial Show forest plot

11

1825

Mean Difference (IV, Fixed, 95% CI)

‐0.98 [‐1.57, ‐0.38]

3 Hospital length of stay ‐ older surgical patients Show forest plot

2

184

Mean Difference (IV, Fixed, 95% CI)

‐0.06 [‐1.23, 1.11]

4 Hospital length of stay ‐ older medical and surgical patients Show forest plot

2

1108

Mean Difference (IV, Fixed, 95% CI)

‐0.60 [‐2.38, 1.18]

Figuras y tablas -
Comparison 1. Effect of discharge planning on hospital length of stay
Comparison 2. Effect of discharge planning on unscheduled readmission rates

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Within 3 months of discharge from hospital Show forest plot

17

4853

Risk Ratio (M‐H, Fixed, 95% CI)

0.88 [0.79, 0.97]

1.1 Unscheduled readmission for those with a medical condition

15

4743

Risk Ratio (M‐H, Fixed, 95% CI)

0.87 [0.79, 0.97]

1.2 Older people admitted to hospital following a fall

2

110

Risk Ratio (M‐H, Fixed, 95% CI)

1.36 [0.46, 4.01]

2 Patients with medical or surgical condition Show forest plot

Other data

No numeric data

3 Patients with a medical condition Show forest plot

Other data

No numeric data

4 Patients who have had surgery Show forest plot

Other data

No numeric data

5 Patients with a mental health diagnosis Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 2. Effect of discharge planning on unscheduled readmission rates
Comparison 3. Effect of discharge planning on days in hospital due to unscheduled readmission

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients with a medical condition Show forest plot

Other data

No numeric data

2 Patients with a medical or surgical condition Show forest plot

Other data

No numeric data

3 Patients with a surgical condition Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 3. Effect of discharge planning on days in hospital due to unscheduled readmission
Comparison 4. Effect of discharge planning on patients' place of discharge

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients discharged from hospital to home Show forest plot

2

419

Risk Ratio (M‐H, Fixed, 95% CI)

1.03 [0.93, 1.14]

2 Patients with a medical condition Show forest plot

Other data

No numeric data

3 Patients with a medical or surgical condition Show forest plot

Other data

No numeric data

4 Older patients admitted to hospital following a fall in residential care at 1 year Show forest plot

1

60

Odds Ratio (M‐H, Fixed, 95% CI)

0.46 [0.15, 1.40]

Figuras y tablas -
Comparison 4. Effect of discharge planning on patients' place of discharge
Comparison 5. Effect of discharge planning on mortality

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality at 6 to 9 months Show forest plot

8

2654

Risk Ratio (M‐H, Fixed, 95% CI)

1.02 [0.83, 1.27]

1.1 Older people with a medical condition

7

2594

Risk Ratio (M‐H, Fixed, 95% CI)

1.02 [0.82, 1.27]

1.2 Older people admitted to hospital following a fall

1

60

Risk Ratio (M‐H, Fixed, 95% CI)

1.33 [0.33, 5.45]

2 Mortality for trials recruiting both patients with a medical condition and those recovering from surgery Show forest plot

Other data

No numeric data

3 Mortality at 12 months Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 5. Effect of discharge planning on mortality
Comparison 6. Effect of discharge planning on patient health outcomes

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patient‐reported outcomes: Patients with a medical condition Show forest plot

Other data

No numeric data

2 Patient‐reported outcomes: Patients with a surgical condition Show forest plot

Other data

No numeric data

3 Patient‐reported outcomes: Patients with a medical or surgical condition Show forest plot

Other data

No numeric data

4 Falls at follow‐up: patients admitted to hospital following a fall Show forest plot

1

60

Risk Ratio (M‐H, Fixed, 95% CI)

0.87 [0.50, 1.49]

5 Patient‐reported outcomes: Patients with a mental health diagnosis Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 6. Effect of discharge planning on patient health outcomes
Comparison 7. Effect of discharge planning on satisfaction with care process

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Satisfaction Show forest plot

Other data

No numeric data

1.1 Patient and care givers' satisfaction

Other data

No numeric data

1.2 Professional's satisfaction

Other data

No numeric data

Figuras y tablas -
Comparison 7. Effect of discharge planning on satisfaction with care process
Comparison 8. Effect of discharge planning on hospital care costs

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients with a medical condition Show forest plot

Other data

No numeric data

2 Patients with a surgical condition Show forest plot

Other data

No numeric data

3 Patients with a mental health diagnosis Show forest plot

Other data

No numeric data

4 Patients admitted to a general medical service Show forest plot

Other data

No numeric data

5 Hospital outpatient department attendance Show forest plot

1

288

Risk Ratio (M‐H, Fixed, 95% CI)

1.07 [0.74, 1.56]

6 First visits to the emergency room Show forest plot

2

740

Risk Ratio (M‐H, Fixed, 95% CI)

0.80 [0.61, 1.07]

Figuras y tablas -
Comparison 8. Effect of discharge planning on hospital care costs
Comparison 9. Effect of discharge planning on primary and community care costs

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Patients with a medical condition Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 9. Effect of discharge planning on primary and community care costs
Comparison 10. Effect of discharge planning on medication use

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Medication problems after being discharged from hospital Show forest plot

Other data

No numeric data

2 Adherence to medicines Show forest plot

Other data

No numeric data

3 Knowledge about medicines Show forest plot

Other data

No numeric data

4 Hoarding of medicines Show forest plot

Other data

No numeric data

5 Prescription errors Show forest plot

Other data

No numeric data

6 Medication appropriateness Show forest plot

Other data

No numeric data

Figuras y tablas -
Comparison 10. Effect of discharge planning on medication use