Evidence map›Paper›PMID 26851941›Full record

ArticleBMC medical informatics and decision making2016

Qualitative analysis of programmatic initiatives to text patients with mobile devices in resource-limited health systems.

Sachin K Garg, Courtney R Lyles, Sara Ackerman, Margaret A Handley, Dean Schillinger, Gato Gourley, Veenu Aulakh, Urmimala Sarkar

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 4 pooled it
4.3field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  4. Innovative Implementation Studies Conducted in US Safety Net Health Care Settings: A Systematic Review.American journal of medical quality : the official journal of the American College of Medical Quality
    Pooled it
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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

8 authors at 3 institutions in 1 country.

Sachin K GargDivision of General Internal Medicine and Center for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco (UCSF), San Francisco, USA. sachin.garg@ucsf.edu.
Courtney R LylesDivision of General Internal Medicine and Center for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco (UCSF), San Francisco, USA.
Sara AckermanDepartment of Social and Behavior Sciences, UCSF, San Francisco, USA.
Margaret A HandleyDivision of General Internal Medicine and Center for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco (UCSF), San Francisco, USA.
Dean SchillingerDivision of General Internal Medicine and Center for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco (UCSF), San Francisco, USA.
Gato GourleyDivision of General Internal Medicine and Center for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco (UCSF), San Francisco, USA.
Veenu AulakhCenter for Care Innovations, Oakland, USA.
Urmimala SarkarDivision of General Internal Medicine and Center for Vulnerable Populations at San Francisco General Hospital, University of California, San Francisco (UCSF), San Francisco, USA.
San Francisco General Hospital · USUniversity of California, San Francisco · USUniversity of San Francisco · US

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Social Interventions to address disparities In young adult tobacco useP60MD006902 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN · 2012 to 2016
$6.4M
Engaging Diverse Patients in Using an Online Patient PortalR00HS022408 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LYLES, COURTNEY REES · 2015 to 2017
$740k
California Safety Net Institute Innovation and Dissemination NetworkR24HS022047 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SARKAR, URMIMALA · 2013 to 2015
$713k
Engaging Diverse Patients in Using an Online Patient PortalK99HS022408 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LYLES, COURTNEY REES · 2013 to 2014
$311k
AHRQ HHS K99 HS022408AHRQ HHS K99HS022408AHRQ HHS R00 HS022408AHRQ HHS R24 HS022047AHRQ HHS R24HS022047NIDDK NIH HHS P30 DK092924NIDDK NIH HHS P30DK092924NIMHD NIH HHS P60 MD006902NIMHD NIH HHS P60MD006902PHS HHS T32HP19025
6 · The paper itself

Abstract

backgroundText messaging is an affordable, ubiquitous, and expanding mobile communication technology. However, safety net health systems in the United States that provide more care to uninsured and low-income patients may face additional financial and infrastructural challenges in utilizing this technology. Formative evaluations of texting implementation experiences are limited. We interviewed safety net health systems piloting texting initiatives to study facilitators and barriers to real-world implementation.

methodsWe conducted telephone interviews with various stakeholders who volunteered from each of the eight California-based safety net systems that received external funding to pilot a texting-based program of their choosing to serve a primary care need. We developed a semi-structured interview guide based partly on the Consolidated Framework for Implementation Research (CFIR), which encompasses several domains: the intervention, individuals involved, contextual factors, and implementation process. We inductively and deductively (using CFIR) coded transcripts, and categorized themes into facilitators and barriers.

resultsWe performed eight interviews (one interview per pilot site). Five sites had no prior texting experience. Sites applied texting for programs related to medication adherence and monitoring, appointment reminders, care coordination, and health education and promotion. No site texted patient-identifying health information, and most sites manually obtained informed consent from each participating patient. Facilitators of implementation included perceived enthusiasm from patients, staff and management belief that texting is patient-centered, and the early identification of potential barriers through peer collaboration among grantees. Navigating government regulations that protect patient privacy and guide the handling of protected health information emerged as a crucial barrier. A related technical challenge in five sites was the labor-intensive tracking and documenting of texting communications due to an inability to integrate texting platforms with electronic health records.

conclusionsDespite enthusiasm for the texting programs from the involved individuals and organizations, inadequate data management capabilities and unclear privacy and security regulations for mobile health technology slowed the initial implementation and limited the clinical use of texting in the safety net and scope of pilots. Future implementation work and research should investigate how different texting platform and intervention designs affect efficacy, as well as explore issues that may affect sustainability and the scalability.

Indexed as

CaliforniaHumansPrimary Health CareQualitative ResearchSafety-net ProvidersTelemedicineText Messaging

Identifiers

PMID26851941
PMCPMC4744448
OpenAlexW2260040738

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.