Evidence map›Paper›PMID 35647268›Full record

ArticleJournal of patient experience2022

Post-Discharge Transitional Care Program and Patient Compliance With Follow-Up Activities.

Neeraj Bhandari, Josue Epane, Jerry Reeves, Christopher Cochran, Jay Shen

Abstract read
In one paragraph

Article in Journal of patient experience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. TRANSFER-I: Hospitalised Older Adults and Their Carers' Perspectives of the Transition Home: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. 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

5 authors.

Neeraj BhandariDepartment of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, NV, USA.ORCID https://orcid.org/0000-0002-9127-7309
Josue EpaneDepartment of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, NV, USA.
Jerry ReevesComagine Health and Health Innovations, Las Vegas, NV, USA.
Christopher CochranDepartment of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, NV, USA.
Jay ShenDepartment of Healthcare Administration and Policy, School of Public Health, University of Nevada, Las Vegas, NV, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We explore whether the frequency of post-hospital discharge transitional care calls affects patients' adherence to their discharge plans. We reviewed 1,000 call records of a post-discharge transitional care program run by a large U.S. tertiary care hospital in 2018-2019 and generated binary outcomes capturing patient self-reports of (1) scheduling or completing follow-up appointments, procedures, or prescription fills, (2) missing a scheduled event, and (3) reporting a new adverse clinical event. Our predictor variables captured callers' success in completing the first and each subsequent call with discharged patients. We ran linear probability models (LPM) for each binary outcome after controlling for sociodemographic and clinical characteristics. Results indicate successful completion of the first two calls was associated with the increased probability of scheduling or completing follow-up appointment (15.5% points,

Indexed as

discharge planningtransitional care

Identifiers

PMID35647268
PMCPMC9133863

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.