Evidence map›Paper›PMID 38987669›Full record

Trial reportBMC geriatrics2024

The impact of discharge letter content on unplanned hospital readmissions within 30 and 90 days in older adults with chronic illness - a mixed methods study.

Igor Adelsjö, Elin C Lehnbom, Amanda Hellström, Lina Nilsson, Maria Flink, Mirjam Ekstedt

Registry-linked trialAbstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02823795 (The Supporting Patient Activation in Transition to Home), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

NCT02823795 nacompletednot on this map

The Supporting Patient Activation in Transition to Home (sPATH) Intervention - a Study Protocol of Randomized Controlled Trial

TypeinterventionalSponsorKarolinska InstitutetRan2016 to 2018Enrolled118ConditionsMedication Adherence, Self-care, Heart Failure, Chronic Obstructive Pulmonary DiseaseArmsMotivational Interviewing
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Igor AdelsjöDepartment of Health and Caring Sciences, Faculty of Health and Life Sciences, Linnaeus University, 39182, Kalmar, Sweden. igad@gmx.us.ORCID http://orcid.org/0000-0001-9780-7959
Elin C LehnbomDepartment of Health and Caring Sciences, Faculty of Health and Life Sciences, Linnaeus University, 39182, Kalmar, Sweden.ORCID http://orcid.org/0000-0003-1428-5476
Amanda HellströmDepartment of Health and Caring Sciences, Faculty of Health and Life Sciences, Linnaeus University, 39182, Kalmar, Sweden.ORCID http://orcid.org/0000-0001-8398-9552
Lina NilssonDepartment of Medicine and Optometry, Faculty of Health and Life Sciences, eHealth Institute, Linnaeus University, Kalmar, Sweden.ORCID http://orcid.org/0000-0003-2074-3584
Maria FlinkDepartment of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-0536-0024
Mirjam EkstedtDepartment of Health and Caring Sciences, Faculty of Health and Life Sciences, Linnaeus University, 39182, Kalmar, Sweden.ORCID http://orcid.org/0000-0002-4108-391X

Funding

Forskningsrådet om Hälsa, Arbetsliv och Välfärd 2016-00148; 2015-00412Vårdalstiftelsen 2014-0026
6 · The paper itself

Abstract

backgroundCare transitions are high-risk processes, especially for people with complex or chronic illness. Discharge letters are an opportunity to provide written information to improve patients' self-management after discharge. The aim of this study is to determine the impact of discharge letter content on unplanned hospital readmissions and self-rated quality of care transitions among patients 60 years of age or older with chronic illness.

methodsThe study had a convergent mixed methods design. Patients with chronic obstructive pulmonary disease or congestive heart failure were recruited from two hospitals in Region Stockholm if they were living at home and Swedish-speaking. Patients with dementia or cognitive impairment, or a "do not resuscitate" statement in their medical record were excluded. Discharge letters from 136 patients recruited to a randomised controlled trial were coded using an assessment matrix and deductive content analysis. The assessment matrix was based on a literature review performed to identify key elements in discharge letters that facilitate a safe care transition to home. The coded key elements were transformed into a quantitative variable of "SAFE-D score". Bivariate correlations between SAFE-D score and quality of care transition as well as unplanned readmissions within 30 and 90 days were calculated. Lastly, a multivariable Cox proportional hazards model was used to investigate associations between SAFE-D score and time to readmission.

resultsAll discharge letters contained at least five of eleven key elements. In less than two per cent of the discharge letters, all eleven key elements were present. Neither SAFE-D score, nor single key elements correlated with 30-day or 90-day readmission rate. SAFE-D score was not associated with time to readmission when adjusted for a range of patient characteristics and self-rated quality of care transitions.

conclusionsWhile written summaries play a role, they may not be sufficient on their own to ensure safe care transitions and effective self-care management post-discharge.

trial registrationClinical Trials. giv, NCT02823795, 01/09/2016.

Indexed as

Heart FailurePatient DischargePatient ReadmissionAgedAged, 80 and overChronic DiseaseFemaleHumansMaleMiddle AgedPulmonary Disease, Chronic ObstructiveSwedenTime FactorsChronic obstructive pulmonary diseaseCommunicationCongestive heart failureHospital dischargeMedication therapy managementPolypharmacySelf-management

Identifiers

PMID38987669
PMCPMC11238400

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.