Evidence map›Paper›PMID 35816374›Full record

ArticleJMIR formative research2022

Novel Implementation Strategy to Electronically Screen and Signpost Patients to Health Behavior Apps: Mixed Methods Implementation Study (OptiMine Study).

Zarnie Khadjesari, Tracey J Brown, Alex T Ramsey, Henry Goodfellow, Sherine El-Toukhy, Lorien C Abroms, Helena Jopling, Arden Dierker Viik, Michael S Amato

Abstract read
In one paragraph

Article in JMIR formative research, 2022. 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
–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

7 citing papers in PubMed.

  1. Article
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  5. [Tobacco cessation: one of the most effective medical measures].Innere Medizin (Heidelberg, Germany) · 2024
    Article
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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

9 authors.

Zarnie KhadjesariBehavioural and Implementation Science Research Group, School of Health Sciences, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0002-2958-9555
Tracey J BrownBehavioural and Implementation Science Research Group, School of Health Sciences, University of East Anglia, Norwich, United Kingdom.ORCID https://orcid.org/0000-0003-4381-5974
Alex T RamseyDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, United States.ORCID https://orcid.org/0000-0002-3471-3725
Henry GoodfellowDepartment of Primary Care and Population Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-0979-2839
Sherine El-ToukhyDivision of Intramural Research, The National Institute on Minority Health and Health Disparities, The National Institutes of Health, Bethesda, MD, United States.ORCID https://orcid.org/0000-0002-0329-5823
Lorien C AbromsDepartment of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington DC, DC, United States.ORCID https://orcid.org/0000-0001-6859-283X
Helena JoplingDepartment of Public Health, West Suffolk NHS Foundation Trust, Bury St Edmunds, United Kingdom.ORCID https://orcid.org/0000-0001-6339-2599
Arden Dierker ViikDepartment of Public Health, West Suffolk NHS Foundation Trust, Bury St Edmunds, United Kingdom.ORCID https://orcid.org/0000-0002-9447-8202
Michael S AmatoTruth Initiative, Washington DC, DC, United States.ORCID https://orcid.org/0000-0002-9769-957X

Funding

Washington University Career Development Program in Drug Abuse and AddictionK12DA041449 · NIDA · WASHINGTON UNIVERSITY · PI Laura J. Bierut, Patricia A Cavazos-Rehg · 2017 to 2026
$4.2M
Digital Health and Health Disparities Research LabZIAMD000011 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI EL-TOUKHY, SHERINE · 2018 to 2025
$3.1M
Cancer Research UK 28665NIDA NIH HHS K12 DA041449
6 · The paper itself

Abstract

backgroundBehavior change apps have the potential to provide individual support on a population scale at low cost, but they face numerous barriers to implementation. Electronic health records (EHRs) in acute care hospitals provide a valuable resource for identifying patients at risk, who may benefit from behavior change apps. A novel, emerging implementation strategy is to use digital technologies not only for providing support to help-seeking individuals but also for signposting patients at risk to support services (also called proactive referral in the United States).

objectiveThe OptiMine study aimed to increase the reach of behavior change apps by implementing electronic signposting for smoking cessation and alcohol reduction in a large, at-risk population that was identified through an acute care hospital EHR.

methodsThis 3-phase, mixed methods implementation study assessed the acceptability, feasibility, and reach of electronic signposting to behavior change apps by using a hospital's EHR system to identify patients who are at risk. Phase 1 explored the acceptability of the implementation strategy among the patients and staff through focus groups. Phase 2 investigated the feasibility of using the hospital EHR to identify patients with target risk behaviors and contact them via SMS text message, email, or patient portal. Phase 3 assessed the impact of SMS text messages sent to patients who were identified as smokers or risky drinkers, which signposted them to behavior change apps. The primary outcome was the proportion of participants who clicked on the embedded link in the SMS text message to access information about the apps. The acceptability of the SMS text messages among the patients who had received them was also explored in a web-based survey.

resultsOur electronic signposting strategy-using SMS text messages to promote health behavior change apps to patients at risk-was found to be acceptable and feasible and had good reach. The hospital sent 1526 SMS text messages, signposting patients to either the National Health Service Smokefree or Drink Free Days apps. A total of 13.56% (207/1526) of the patients clicked on the embedded link to the apps, which exceeded our 5% a priori success criterion. Patients and staff contributed to the SMS text message content and delivery approach, which were perceived as acceptable before and after the delivery of the SMS text messages. The feasibility of the SMS text message format was determined and the target population was identified by mining the EHR.

conclusionsThe OptiMine study demonstrated the proof of concept for this novel implementation strategy, which used SMS text messages to signpost at-risk individuals to behavior change apps at scale. The level of reach exceeded our a priori success criterion in a non-help-seeking population of patients receiving unsolicited SMS text messages, disconnected from hospital visits. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/23669.

Indexed as

alcoholalcohol reductionalcohol useEHRelectronic health recordelectronic messagesmHealthmobile appmobile healthproactive messagesproactive outreachsmokingsmoking cessationtobacco use

Identifiers

PMID35816374
PMCPMC9315888

What OpenQuestion holds

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Registered trials

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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.