Evidence map›Paper›PMID 35086727›Full record

ArticleSurgery2022

Promoting patient engagement during care transitions after surgery using mobile technology: Lessons learned from the MobiMD pilot study.

Thomas M Diehl, James R Barrett, Rachel Van Doorn, Linda M Cherney Stafford, Bret M Hanlon, Sharon M Weber, Corrine I Voils, Daniel E Abbott

Open access · greenAbstract read
In one paragraph

Article in Surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 6% 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.

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, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Review
  7. 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

8 authors at 2 institutions in 1 country.

Thomas M DiehlDepartment of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, WI. Electronic address: http://www.twitter.com/tomdiehlMD.
James R BarrettDepartment of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, WI.
Rachel Van DoornDepartment of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, WI.
Linda M Cherney StaffordDepartment of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, WI.
Bret M HanlonDepartment of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, WI; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI.
Sharon M WeberDepartment of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, WI.
Corrine I VoilsDepartment of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, WI; William S. Middleton Memorial Veterans Hospital, Madison, WI. Electronic address: http://www.twitter.com/VoilsCorrine.
Daniel E AbbottDepartment of Surgery, University of Wisconsin, School of Medicine and Public Health, Madison, WI. Electronic address: abbott@surgery.wisc.edu.
University of Wisconsin–Madison · USTwitter (United States) · US

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
UW Surgical Oncology Research Training Program (UW-SORT)T32CA090217 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Muhammed Murtaza, Heather B Neuman · 2001 to 2026
$8.3M
FIC NIH HHS D43 TW010543NCI NIH HHS T32 CA090217
6 · The paper itself

Abstract

backgroundPoorly coordinated transitions of care in complex abdominal surgery patients contribute to frequent hospital readmissions and inflated healthcare spending. Mobile health (mHealth) transitional care technologies may reduce surgical readmissions yet remain understudied in high-risk surgical populations.

methodsWe conducted a single-group, prepost study of a mHealth transitional care app in 50 complex surgical patients. Eligible patients were adults undergoing complex abdominal surgery in the divisions of Surgical Oncology and Colorectal Surgery. The main outcome was app engagement, calculated by notification response rate (number of participant-entered datapoints divided by the total number of app-requested datapoints) over the 30-day postoperative period. Secondary outcomes included changes in engagement over time and by individual app feature.

resultsA total of 85% (50/59) of eligible patients enrolled. Most participants were male (58%, n = 29), and mean age was 50 years (range 24-80 years). Overall notification response rate was 28%. Among the 58% of participants (29/50) who engaged with the app at least once after discharge (app users), the average notification response rate was 45%. The mean notification response rate among app users decreased over time from 50% to 32% between weeks 1 and 4 after hospital discharge. Engagement with individual app features ranged from 48-81%, with highest engagement for symptom reports and lowest engagement for wound care instructions.

conclusionmHealth transitional care is feasible in complex surgical patients using only patients' existing smart devices. Randomized controlled trials are required to determine the impact on hospital readmissions, surgical outcomes, patient satisfaction, and overall resource utilization.

Indexed as

Mobile ApplicationsTelemedicineAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPatient ParticipationPatient TransferPilot ProjectsYoung Adult

Identifiers

PMID35086727
PMCPMC11064743
OpenAlexW4207022069

What OpenQuestion holds

Textmetadata
LicenceTDM
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.