Evidence map›Paper›PMID 38228989›Full record

ArticleJournal of general internal medicine2024

Differences in Primary Care Follow-up After Acute Care Discharge Within and Across Health Systems: a Retrospective Cohort Study.

Timothy S Anderson, Ashley L O'Donoghue, Shoshana J Herzig, Marc L Cohen, Naing Aung, Tenzin Dechen, Bruce E Landon, Jennifer P Stevens

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of general internal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. General practice follow-up after hospital discharge in older adults: retrospective record analysis in UK primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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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

8 authors.

Timothy S AndersonDivision of General Internal Medicine, University of Pittsburgh, Pittsburgh, PA, USA. tsander@pitt.edu.ORCID 0000-0002-5384-275X
Ashley L O'DonoghueHarvard Medical School, Boston, MA, USA.
Shoshana J HerzigDivision of General Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Marc L CohenDivision of General Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Naing AungDivision of General Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Tenzin DechenCenter for Healthcare Delivery Science, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Bruce E LandonDivision of General Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Jennifer P StevensHarvard Medical School, Boston, MA, USA.

Funding

Tradeoffs in the Design of Public Long-Term Care BenefitsP01AG032952 · NIA · HARVARD MEDICAL SCHOOL · PI John Michael McWilliams · 2009 to 2026
$39.0M
Optimizing prescribing decisions for hospitalized older adults with chronic conditionsK76AG074878 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Timothy S Anderson · 2022 to 2026
$1.2M
American Heart Association CDA940950NIA NIH HHS K76 AG074878NIA NIH HHS K76AG074878NIA NIH HHS P01 AG032952
6 · The paper itself

Abstract

backgroundTimely primary care follow-up after acute care discharge may improve outcomes.

objectiveTo evaluate whether post-discharge follow-up rates differ among patients discharged from hospitals directly affiliated with their primary care clinic (same-site), other hospitals within their health system (same-system), and hospitals outside their health system (outside-system).

designRetrospective cohort study. PATIENTS: Adult patients of five primary care clinics within a 14-hospital health system who were discharged home after a hospitalization or emergency department (ED) stay. MAIN MEASURES: Primary care visit within 14 days of discharge. A multivariable Poisson regression model was used to estimate adjusted rate ratios (aRRs) and risk differences (aRDs), controlling for sociodemographics, acute visit characteristics, and clinic characteristics. KEY

resultsThe study included 14,310 discharges (mean age 58.4 [SD 19.0], 59.5% female, 59.5% White, 30.3% Black), of which 57.7% were from the same-site, 14.3% same-system, and 27.9% outside-system. By 14 days, 34.5% of patients discharged from the same-site hospital received primary care follow-up compared to 27.7% of same-system discharges (aRR 0.88, 95% CI 0.79 to 0.98; aRD - 6.5 percentage points (pp), 95% CI - 11.6 to - 1.5) and 20.9% of outside-system discharges (aRR 0.77, 95% CI [0.70 to 0.85]; aRD - 11.9 pp, 95% CI - 16.2 to - 7.7). Differences were greater for hospital discharges than ED discharges (e.g., aRD between same-site and outside-system - 13.5 pp [95% CI, - 20.8 to - 8.3] for hospital discharges and - 10.1 pp [95% CI, - 15.2 to - 5.0] for ED discharges).

conclusionsPatients discharged from a hospital closely affiliated with their primary care clinic were more likely to receive timely follow-up than those discharged from other hospitals within and outside their health system. Improving care transitions requires coordination across both care settings and health systems.

Indexed as

Patient DischargePrimary Health CareAdultAftercareAgedCohort StudiesContinuity of Patient CareEmergency Service, HospitalFemaleFollow-Up StudiesHospitalizationHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID38228989
PMCPMC11169150

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.