Evidence map›Paper›PMID 20091507›Full record

SynthesisThe Cochrane database of systematic reviews2010

Discharge planning from hospital to home.

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

3 registry-linked trialsAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 85 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 10 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT01906710 naunknown statusnot on this mapstarted 2013, after this paper: background citation

The Effect of Patient Centered Medication Reconciliation, Medication Review and Discharge Counseling With Information Transfer in Hospitalized Patients on Clinical and Economic Parameters: a Multicentre, Before-after Study.

TypeinterventionalSponsorClementine CM Stuijt PharmD, MScRan2013 to 2014Enrolled1,200ConditionsAdverse Drug Reaction, Medication Administered in ErrorArmsintegrated medicines management
NCT03455985 naterminatednot on this mapstarted 2018, after this paper: background citation

Effectiveness of a Diabetes Focused Discharge Order Set Among Poorly Controlled Hospitalized Patients Transitioning to Glargine U300 Insulin

TypeinterventionalSponsorOhio State UniversityRan2018 to 2020Enrolled158ConditionsDiabetes Mellitus, Type 2, Patient Discharge, Blood Glucose, Low, Blood Glucose, HighArmsDischarge Order Set (DOS), Enhanced Standard Care (ESC)
NCT04093245 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Supporting the Creation of a LEARNing INteGrated Health System to Mobilize Context-adapted Knowledge With a Wiki Platform to Improve the Transitions of Frail Seniors From From Hospitals and Emergency Departments to the cOMmunity: Phase II

TypeinterventionalSponsorLaval UniversityRan2019 to 2022Enrolled4,000ConditionsTransition, Emergencies, Health Care Utilization, FrailtyArmsGEM nurse, pre- and post-hospitalization medication list reconciliation, systematic discharge summaries, medical follow-up appointment, follow-up phone call
3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Discharge planning from hospital.The Cochrane database of systematic reviews · 2022
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  4. Discharge planning from hospital.The Cochrane database of systematic reviews · 2016
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  8. Discharge planning in chronic conditions: an evidence-based analysis.Ontario health technology assessment series · 2013
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25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Sasha ShepperdDepartment of Public Health, University of Oxford, Rosemary Rue Building, Headington, Oxford, Oxfordshire, UK, OX3 7LF.
Jacqueline McClaran
Christopher O Phillips
Natasha A Lannin
Lindy M Clemson
Annie McCluskey
Ian D Cameron
Sarah L Barras

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDischarge planning is a routine feature of health systems in many countries. The aim of discharge planning is to reduce hospital length of stay and unplanned readmission to hospital, and improve the co-ordination of services following discharge from hospital.

objectivesTo determine the effectiveness of planning the discharge of patients moving from hospital. SEARCH STRATEGY: We updated the review using the Cochrane EPOC Group Trials Register, MEDLINE, EMBASE and the Social Science Citation Index (last searched in March 2009). SELECTION CRITERIA: Randomised controlled trials (RCTs) that compared an individualised discharge plan with routine discharge care that was not tailored to the individual patient. Participants were hospital inpatients. DATA COLLECTION AND ANALYSIS: Two authors independently undertook data analysis and quality assessment using a predesigned data extraction sheet. Studies are grouped according to patient group (elderly medical patients, surgical patients and those with a mix of conditions) and by outcome. MAIN

resultsTwenty-one RCTs (7234 patients) are included; ten of these were identified in this update. Fourteen trials recruited patients with a medical condition (4509 patients), four recruited patients with a mix of medical and surgical conditions (2225 patients), one recruited patients from a psychiatric hospital (343 patients), one from both a psychiatric hospital and from a general hospital (97 patients), and the final trial recruited patients admitted to hospital following a fall (60 patients). Hospital length of stay and readmissions to hospital were significantly reduced for patients allocated to discharge planning (mean difference length of stay -0.91, 95% CI -1.55 to -0.27, 10 trials; readmission rates RR 0.85, 95% CI 0.74 to 0.97, 11 trials). For elderly patients with a medical condition (usually heart failure) there was insufficient evidence for a difference in mortality (RR 1.04, 95% CI 0.74 to 1.46, four trials) or being discharged from hospital to home (RR 1.03, 95% CI 0.93 to 1.14, two trials). This was also the case for trials recruiting patients recovering from surgery and a mix of medical and surgical conditions. In three trials patients allocated to discharge planning reported increased satisfaction. There was little evidence on overall healthcare costs. AUTHORS'

conclusionsThe evidence suggests that a structured discharge plan tailored to the individual patient probably brings about small reductions in hospital length of stay and readmission rates for older people admitted to hospital with a medical condition. The impact of discharge planning on mortality, health outcomes and cost remains uncertain.

Indexed as

Patient DischargeControlled Clinical Trials as TopicHealth Care CostsHumansLength of StayOutcome Assessment, Health CarePatient ReadmissionRandomized Controlled Trials as Topic

Identifiers

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.