Evidence map›Paper›PMID 39222348›Full record

ArticleJMIR formative research2024

Prescription Digital Therapeutics for Substance Use Disorder in Primary Care: Mixed Methods Evaluation of a Pilot Implementation Study.

Jessica Mogk, Abisola E Idu, Jennifer F Bobb, Dustin Key, Edwin S Wong, Lorella Palazzo, Kelsey Stefanik-Guizlo, Deborah King, Tara Beatty, Caitlin N Dorsey and 3 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04907045 (Digital Therapeutics for Opioids and Other Substance Use Disorders in Primary Care Pilot), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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.

NCT04907045 nacompletednot on this map

Digital Therapeutics for Opioids and Other Substance Use Disorders in Primary Care Pilot (DIGITS Trial Pilot)

TypeinterventionalSponsorKaiser PermanenteRan2021 to 2023Enrolled1,552ConditionsDrug Use Disorders, Illicit Drug Use, Alcohol-Related DisordersArmsHealth Coaching, Practice Facilitation, Standard Implementation
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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

13 authors.

Jessica MogkKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0003-4102-7309
Abisola E IduKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0009-0006-1872-9416
Jennifer F BobbKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0002-4744-5897
Dustin KeyKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0009-0000-1878-9888
Edwin S WongDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, United States.ORCID 0000-0002-6079-686X
Lorella PalazzoKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0003-4736-5990
Kelsey Stefanik-GuizloKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0009-0009-5774-5779
Deborah KingKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0001-7028-430X
Tara BeattyKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0002-1478-5238
Caitlin N DorseyKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0002-7044-7348
Ryan M CaldeiroMental Health and Wellness Services, Kaiser Permanente Washington, Renton, WA, United States.ORCID 0000-0003-3224-8425
Angela Garza McWethyMental Health and Wellness, Kaiser Permanente, Oakland, CA, United States.ORCID 0000-0003-2506-1224
Joseph E GlassKaiser Permanente Washington Health Research Institute, Seattle, WA, United States.ORCID 0000-0002-2923-3698

Funding

Digital treatments for opioids and other substance use disorders (DIGITS) in primary care: Observational Analysis of Adaptions to the InterventionR01DA047954 · NIDA · KAISER FOUNDATION RESEARCH INSTITUTE · PI GLASS, JOSEPH EDWIN · 2019 to 2023
$3.9M
A game-based intervention for Opioid Use DisorderR44DA042652 · NIDA · PEAR THERAPEUTICS, INC. · PI LUDERER, HILARY F · 2017 to 2020
$1.2M
Decreasing the Engagement Gap for Addiction Treatment in Primary CareK01AA023859 · NIAAA · KAISER FOUNDATION RESEARCH INSTITUTE · PI GLASS, JOSEPH EDWIN · 2017 to 2021
$931k
NIAAA NIH HHS K01 AA023859NIDA NIH HHS R01 DA047954NIDA NIH HHS R44 DA042652
6 · The paper itself

Abstract

backgroundDelivering prescription digital therapeutics (ie, evidence-based interventions designed to treat, manage, or prevent disorders via websites or smartphone apps) in primary care could increase patient access to substance use disorder (SUD) treatments. However, the optimal approach to implementing prescription digital therapeutics in primary care remains unknown.

objectiveThis pilot study is a precursor to a larger trial designed to test whether implementation strategies (practice facilitation [PF] and health coaching [HC]) improve the delivery of prescription digital therapeutics for SUDs in primary care. This mixed methods study describes outcomes among patients in the 2 pilot clinics and presents qualitative findings on implementation.

methodsFrom February 10 to August 6, 2021, a total of 3 mental health specialists embedded in 2 primary care practices of the same integrated health system were tasked with offering app-based prescription digital therapeutics to patients with SUD. In the first half of the pilot, implementation activities included training and supportive tools. PF (at 1 clinic) and HC (at 2 clinics) were added in the second half. All study analyses relied on secondary data, including electronic health records and digital therapeutic vendor data. Primary outcomes were the proportion of patients reached by the prescription digital therapeutics and fidelity related to ideal use. We used qualitative methods to assess the adherence to planned activities and the barriers and facilitators to implementing prescription digital therapeutics.

resultsOf all 18 patients prescribed the apps, 10 (56%) downloaded the app and activated their prescription, and 8 (44%) completed at least 1 module of content. Patients who activated the app completed 1 module per week on average. Ideal use (fidelity) was defined as completing 4 modules per week and having a monthly SUD-related visit; 1 (6%) patient met these criteria for 10 weeks (of the 12-week prescription period). A total of 5 (28%) patients had prescriptions while HC was available, 2 (11%) were successfully contacted, and both declined coaching. Clinicians reported competing clinical priorities, technical challenges, and logistically complex workflows in part because the apps required a prescription. Some pilot activities were impacted by staff turnover that coincided with the COVID-19 pandemic. The facilitators to implementation were high engagement and the perception that the apps could meet patient needs.

conclusionsThe pilot study encountered the barriers to implementing prescription digital therapeutics in a real-world primary care setting, especially staffing shortages, turnover, and competing priorities for clinic teams. The larger randomized trial will clarify the extent to which PF and HC improve the implementation of digital therapeutics.

trial registrationClinicalTrials.gov NCT04907045; https://clinicaltrials.gov/study/NCT04907045.

Indexed as

Mobile ApplicationsPrimary Health CareSubstance-Related DisordersAdultFemaleHumansMaleMiddle AgedPilot ProjectsQualitative ResearchTelemedicineYoung Adultdigital therapeuticshealth coachingimplementationmobile phonepractice facilitationprimary caresubstance use disorder

Identifiers

PMID39222348
PMCPMC11406110

What OpenQuestion holds

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Registered trials

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.