Evidence map›Paper›PMID 38564221›Full record

Trial reportJAMA network open2024

Automated Text Message-Based Program and Use of Acute Health Care Resources After Hospital Discharge: A Randomized Clinical Trial.

Eric Bressman, Judith A Long, Robert E Burke, Aiden Ahn, Katherine Honig, Jarcy Zee, Nancy McGlaughlin, Mohan Balachandran, David A Asch, Anna U Morgan

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05245773 (MORE-PC), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% of its field
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.

NCT05245773 nacompletednot on this map

MORE-PC: A 30-day Automated SMS Program to Support Post-discharge Transitions of Care

TypeinterventionalSponsorUniversity of PennsylvaniaRan2022 to 2023Enrolled5,000ConditionsCare TransitionsArmsAutomated SMS program to support post-discharge transitions of care
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Observational
  5. Article
  6. Review
  7. Predicting drug overdose and death after "before medically advised" hospital discharge.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  8. Observational
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Eric BressmanDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Judith A LongDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Robert E BurkeDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Aiden AhnDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Katherine HonigDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Jarcy ZeeDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Nancy McGlaughlinPenn Primary Care, University of Pennsylvania Health System, Philadelphia.
Mohan BalachandranCenter for Health Care Innovation and Transformation, University of Pennsylvania Health System, Philadelphia.
David A AschDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Anna U MorganDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
University of Pennsylvania · USUniversity of Pennsylvania Health System · USChildren's Hospital of Philadelphia · USPhiladelphia VA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Postdischarge outreach from the primary care practice is an important component of transitional care support. The most common method of contact is via telephone call, but calls are labor intensive and therefore limited in scope. Objective: To test whether a 30-day automated texting program to support primary care patients after hospital discharge reduces acute care revisits. Design, Setting, and Participants: A 2-arm randomized clinical trial was conducted from March 29, 2022, through January 5, 2023, at 30 primary care practices within a single academic health system in Philadelphia, Pennsylvania. Patients were followed up for 60 days after discharge. Investigators were blinded to assignment, but patients and practice staff were not. Participants included established patients of the study practices who were aged 18 years or older, discharged from an acute care hospitalization, and considered medium to high risk for adverse health events by a health system risk score. All analyses were conducted using an intention-to-treat approach. Intervention: Patients in the intervention group received automated check-in text messages from their primary care practice on a tapering schedule for 30 days following discharge. Any needs identified by the automated messaging platform were escalated to practice staff for follow-up via an electronic medical record inbox. Patients in the control group received a standard transitional care management telephone call from their practice within 2 business days of discharge. Main Outcomes and Measures: The primary study outcome was any acute care revisit (readmission or emergency department visit) within 30 days of discharge. Results: Of the 4736 participants, 2824 (59.6%) were female; the mean (SD) age was 65.4 (16.5) years. The mean (SD) length of index hospital stay was 5.5 (7.9) days. A total of 2352 patients were randomized to the intervention arm and 2384 were randomized to the control arm. There were 557 (23.4%) acute care revisits in the control group and 561 (23.9%) in the intervention group within 30 days of discharge (risk ratio, 1.02; 95% CI, 0.92-1.13). Among the patients in the intervention arm, 79.5% answered at least 1 message and 41.9% had at least 1 need identified. Conclusions and Relevance: In this randomized clinical trial of a 30-day postdischarge automated texting program, there was no significant reduction in acute care revisits. Trial Registration: ClinicalTrials.gov Identifier: NCT05245773.

Indexed as

Patient DischargeText MessagingAftercareDelivery of Health CareFemaleHospitalsHumansMalePhiladelphia

Identifiers

PMID38564221
PMCPMC10988348
OpenAlexW4393410444

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.