Evidence map›Paper›PMID 39179376›Full record

Observational studyBMJ quality & safety2024

Assessing patient work system factors for medication management during transition of care among older adults: an observational study.

Yan Xiao, Yea-Jen Hsu, Susan M Hannum, Ephrem Abebe, Melinda E Kantsiper, Ivonne Marie Pena, Andrea M Wessell, Sydney M Dy, Eric E Howell, Ayse P Gurses

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in BMJ quality & safety, 2024. 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
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Exploring Patient and Caregiver Work and Continuity of Care During Hospital-to-Home Transitions of Care in the Canadian Context.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  2. Article
  3. Article
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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

10 authors.

Yan XiaoCollege of Nursing and Health Innovation, The University of Texas at Arlington, Arlington, Texas, USA yan.xiao.phd@gmail.com.ORCID 0000-0003-2805-0619
Yea-Jen HsuHealth Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Susan M HannumDepartment of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Ephrem AbebeCollege of Pharmacy, Purdue University, West Lafayette, Indiana, USA.
Melinda E KantsiperSchool of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Ivonne Marie PenaSchool of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Andrea M WessellPatient Safety Organization, DARTNet Institute, Charleston, South Carolina, USA.
Sydney M DyHealth Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Eric E HowellSociety of Hospital Medicine, Philadelphia, Pennsylvania, USA.
Ayse P GursesHealth Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

Funding

Patient-Centric Risk Model for Medication Safety During Care TransitionsR01HS024436 · AHRQ · JOHNS HOPKINS UNIVERSITY · PI GURSES, AYSE PINAR · 2015 to 2017
$1.5M
AHRQ HHS R01 HS024436
6 · The paper itself

Abstract

objectiveTo develop and evaluate measures of patient work system factors in medication management that may be modifiable for improvement during the care transition from hospital to home among older adults. DESIGN, SETTINGS AND

participantsMeasures were developed and evaluated in a multisite prospective observational study of older adults (≥65 years) discharged home from medical units of two US hospitals from August 2018 to July 2019. MAIN MEASURES: Patient work system factors for managing medications were assessed during hospital stays using six capacity indicators, four task indicators and three medication management practice indicators. Main outcomes were assessed at participants' homes approximately a week after discharge for (1) Medication discrepancies between the medications taken at home and those listed in the medical record, and (2) Patient experiences with new medication regimens.

results274 of the 376 recruited participants completed home assessment (72.8%). Among capacity indicators, most older adults (80.6%) managed medications during transition without a caregiver, 41.2% expressed low self-efficacy in managing medications and 18.3% were not able to complete basic medication administration tasks. Among task indicators, more than half (57.7%) had more than 10 discharge medications and most (94.7%) had medication regimen changes. Having more than 10 discharge medications, more than two medication regimen changes and low self-efficacy in medication management increased the risk of feeling overwhelmed (OR 2.63, 95% CI 1.08 to 6.38, OR 3.16, 95% CI 1.29 to 7.74 and OR 2.56, 95% CI 1.25 to 5.26, respectively). Low transportation independence, not having a home caregiver, low medication administration skills and more than 10 discharge medications increased the risk of medication discrepancies (incidence rate ratio 1.39, 95% CI 1.01 to 1.91, incidence rate ratio 1.73, 95% CI 1.13 to 2.66, incidence rate ratio 1.99, 95% CI 1.37 to 2.89 and incidence rate ratio 1.91, 95% CI 1.24 to 2.93, respectively).

conclusionsPatient work system factors could be assessed before discharge with indicators for increased risk of poor patient experience and medication discrepancies during older adults' care transition from hospital to home.

Indexed as

Patient DischargeAgedAged, 80 and overFemaleHumansMaleMedication ErrorsMedication ReconciliationMedication Therapy ManagementProspective StudiesUnited StatesHuman factorsMedication safetyTransitions in care

Identifiers

PMID39179376
PMCPMC11645227

What OpenQuestion holds

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Registered trials

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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.