Evidence map›Paper›PMID 34730550›Full record

ArticleJMIR mHealth and uHealth2021

GPS Mobile Health Intervention Among People Experiencing Homelessness: Pre-Post Study.

Leticia R Moczygemba, Whitney Thurman, Kyler Tormey, Anthony Hudzik, Lauren Welton-Arndt, Elizabeth Kim

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Review
  5. Review
  6. 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

6 authors.

Leticia R MoczygembaHealth Outcomes Division, College of Pharmacy, University of Texas at Austin, Austin, TX, United States.ORCID 0000-0002-8861-2743
Whitney ThurmanSchool of Nursing, University of Texas at Austin, Austin, TX, United States.ORCID 0000-0002-3208-4021
Kyler TormeyHealth Outcomes Division, College of Pharmacy, University of Texas at Austin, Austin, TX, United States.ORCID 0000-0003-3160-8927
Anthony HudzikHealth Outcomes Division, College of Pharmacy, University of Texas at Austin, Austin, TX, United States.ORCID 0000-0002-9539-4633
Lauren Welton-ArndtHealth Outcomes Division, College of Pharmacy, University of Texas at Austin, Austin, TX, United States.ORCID 0000-0003-2499-3441
Elizabeth KimHealth Outcomes Division, College of Pharmacy, University of Texas at Austin, Austin, TX, United States.ORCID 0000-0002-5867-5030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople experiencing homelessness are at risk for gaps in care after an emergency department (ED) or hospital visit, which leads to increased use, poor health outcomes, and high health care costs. Most people experiencing homelessness have a mobile phone of some type, which makes mobile health (mHealth) interventions a feasible way to connect a person experiencing homelessness with providers.

objectiveThis study aims to investigate the accuracy, acceptability, and preliminary outcomes of a GPS-enabled mHealth (GPS-mHealth) intervention designed to alert community health paramedics when people experiencing homelessness are in the ED or hospital.

methodsThis study was a pre-post design with baseline and 4-month postenrollment assessments. People experiencing homelessness, taking at least 2 medications for chronic conditions, scoring at least 10 on the Patient Health Questionnaire-9, and having at least 2 ED or hospital visits in the previous 6 months were eligible. Participants were issued a study smartphone with a GPS app programmed to alert a community health paramedic when a participant entered an ED or hospital. For each alert, community health paramedics followed up via telephone to assess care coordination needs. Participants also received a daily email to assess medication adherence. GPS alerts were compared with ED and hospital data from the local health information exchange (HIE) to assess accuracy. Paired t tests compared scores on the Patient Health Questionnaire-9, Medical Outcomes Study Social Support Survey, and Adherence Starts with Knowledge-12 adherence survey at baseline and exit. Semistructured exit interviews examined the perceptions and benefits of the intervention.

resultsIn total, 30 participants were enrolled; the mean age was 44.1 (SD 9.7) years. Most participants were male (20/30, 67%), White (17/30, 57%), and not working (19/30, 63%). Only 19% (3/16) of the ED or hospital visit alerts aligned with HIE data, mainly because of patients not having the smartphone with them during the visit, the smartphone being off, and gaps in GPS technology. There was a significant difference in depressive symptoms between baseline (mean 16.9, SD 5.8) and exit (mean 12.7, SD 8.2; t

conclusionsmHealth interventions are acceptable to people experiencing homelessness. HIE data provided more accurate ED and hospital visit information; however, unlimited access to reliable communication provided benefits to participants beyond the study purpose of improving care coordination.

Indexed as

Cell PhoneIll-Housed PersonsTelemedicineAdultHumansMaleSmartphoneSurveys and Questionnairescare coordinationemergency departmentGPShealth care costshealth outcomeshomelessnessmHealthmobile phonepeople experiencing homelessness

Identifiers

PMID34730550
PMCPMC8600433

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.