Evidence map›Paper›PMID 36238754›Full record

ArticleDigital health

Text messaging to increase patient engagement in a large health care for the homeless clinic: Results of a randomized pilot study.

Karyn Kershaw, Lisa Martelly, Cassidy Stevens, D Keith McInnes, Allie Silverman, Thomas Byrne, Diana Aycinena, Lora L Sabin, Lynn A Garvin, Varsha G Vimalananda and 1 more

Open access · goldAbstract read
In one paragraph

Article in Digital health. 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
2.8field-weighted citation impact, top 9% 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, 11 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Karyn KershawDepartment of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, USA.
Lisa MartellyDepartment of Epidemiology and Biostatistics, Boston University School of Public Health, Boston, MA, USA.
Cassidy StevensSocial Services Department, Massachusetts General Hospital, Boston, MA, USA.
D Keith McInnesDepartment of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, USA.ORCID https://orcid.org/0000-0002-9941-5470
Allie SilvermanCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA.ORCID https://orcid.org/0000-0001-9234-0130
Thomas ByrneCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA.
Diana AycinenaBoston Health Care for the Homeless Program, Boston, MA, USA.
Lora L SabinDepartment of Global Health, Boston University School of Public Health, Boston, MA, USA.
Lynn A GarvinDepartment of Health Law, Policy, and Management, Boston University School of Public Health, Boston, MA, USA.
Varsha G VimalanandaCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA.
Robert HassBoston Health Care for the Homeless Program, Boston, MA, USA.
Boston University · USBoston Health Care for the Homeless Program · USMassachusetts General Hospital · USVA New England Healthcare System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess the feasibility and effectiveness of text messaging to increase outpatient care engagement and medication adherence in an urban homeless population in Boston. Methods: Between July 2017 and April 2018, 62 patients from a clinic serving a homeless population were sent automated text messages for four months. Messages were either appointment reminders and medication adherence suggestions (intervention group) or general health promotion messages (control group). Medical records were reviewed to evaluate appointment keeping, emergency room (ER) use, and hospitalizations. Pre- and post-surveys were administered to measure self-reported medication adherence. Results: No significant differences were found in inpatient or outpatient care between the intervention and control groups, though differences in no-show rates and medication adherence approached significance. Appointment no-show rates were 21.0% vs. 30.6% ( Conclusions: Text messaging showed the potential to improve patient engagement in care and medication adherence in an urban homeless population (findings approaching but not achieving statistical significance). Work is needed to enhance the effectiveness of text-messaging interventions, which may involve increasing ease of use for mobile phones and texting apps, and addressing high rates of phone theft and loss.

Indexed as

digitalhomelesspatient engagementtext messaging

Identifiers

PMID36238754
PMCPMC9551340
OpenAlexW4306247805

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.