Evidence map›Paper›PMID 39755566›Full record

ArticleBMJ open2025

Factors influencing communication issues during hospital discharge for older adults in 11 high-income countries: a secondary analysis of the 2021 International Health Policy Survey.

Preshit Nemdas Ambade, Zach Hoffman, Tyler Vest, Kaamya Mehra, Munira Gunja, Breagh H MacKinnon, Neil J MacKinnon

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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Preshit Nemdas AmbadeCollege of Medicine, Central Michigan University, Mount Pleasant, Michigan, USA preshitambade@gmail.com.ORCID http://orcid.org/0000-0002-6919-7206
Zach HoffmanSchool of Public Health, Augusta University, Augusta, Georgia, USA.ORCID http://orcid.org/0000-0002-4895-5055
Tyler VestDepartment of Pharmacy, The University of Vermont Health Network Inc, Colchester, Vermont, USA.
Kaamya MehraCollege of Science and Mathematics, Augusta University, Augusta, Georgia, USA.
Munira GunjaCommonwealth Fund, New York, New York, USA.
Breagh H MacKinnonCollege of Pharmacy, University of Georgia, Athens, Georgia, USA.
Neil J MacKinnonCollege of Medicine, Central Michigan University, Mount Pleasant, Michigan, USA.ORCID http://orcid.org/0000-0001-8111-6651

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the prevalence of hospital discharge communication problems with older adults, compare them across countries and determine factors associated with those problems.

designSecondary analysis of cross-sectional survey data.

setting2021 Commonwealth Fund International Health Policy (IHP) Survey of Older Adults conducted across 11 high-income countries, including Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Sweden, Switzerland, the UK and the USA.

participants4501 respondents aged 60 and older in the USA and 65 and older in all other included countries who were hospitalised at least once in the past 2 years before the survey and answered discharge communication-related questions. PRIMARY OUTCOME MEASURE: Our primary outcome measure is poor discharge communication (PDC), a composite variable of three IHP questions related to written information, doctor follow-up and medicines discussed.

resultsOverall PDC rate was 19.2% (864/4501), although rates varied by nation. PDC was highest in Norway (31.5%) and lowest in the USA (7.5%). Gender, education, income and the presence of at least one chronic disease were not statistically associated with PDC.

conclusionsGiven the high rate of PDC observed, hospital discharge teams and leadership should carefully examine communication during the hospital discharge process to ensure minimisation of care gaps, particularly regarding medication, since this was the most reported problem.

Indexed as

Developed CountriesHealth PolicyPatient DischargeAgedAged, 80 and overCommunicationCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesCross-Sectional StudiesHealth ServicesHealth Services AccessibilityHealth Services for the AgedHealth SurveysHospitalization

Identifiers

PMID39755566
PMCPMC11748765

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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.