Evidence map›Paper›PMID 39356493›Full record

ArticleJMIR mental health2024

Clinical Use of Mental Health Digital Therapeutics in a Large Health Care Delivery System: Retrospective Patient Cohort Study and Provider Survey.

Samuel J Ridout, Kathryn K Ridout, Teresa Y Lin, Cynthia I Campbell

Abstract read
In one paragraph

Article in JMIR mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  6. Review
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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

4 authors.

Samuel J RidoutDepartment of Psychiatry, San Jose Medical Center, The Permanente Medical Group, San Jose, CA, United States.ORCID 0000-0002-6729-6817
Kathryn K RidoutKaiser Permanente Northern California Division of Research, 4480 Hacienda Drive, Pleasanton, CA, 94588, United States, 1 650 380 2507.ORCID 0000-0003-2101-8165
Teresa Y LinKaiser Permanente Northern California Division of Research, 4480 Hacienda Drive, Pleasanton, CA, 94588, United States, 1 650 380 2507.ORCID 0009-0006-6861-7359
Cynthia I CampbellKaiser Permanente Northern California Division of Research, 4480 Hacienda Drive, Pleasanton, CA, 94588, United States, 1 650 380 2507.ORCID 0000-0003-1019-5852

Funding

Computational Strategies to Tailor Existing Interventions for First Major Depressive Episodes to Inform and Test Personalized InterventionsR01MH132973 · NIMH · KAISER FOUNDATION RESEARCH INSTITUTE · PI Kathryn Kelly Erickson-Ridout · 2023 to 2026
$3.1M
NIMH NIH HHS R01 MH132973
6 · The paper itself

Abstract

Background: While the number of digital therapeutics (DTx) has proliferated, there is little real-world research on the characteristics of providers recommending DTx, their recommendation behaviors, or the characteristics of patients receiving recommendations in the clinical setting. Objective: The aim of this study was to characterize the clinical and demographic characteristics of patients receiving DTx recommendations and describe provider characteristics and behaviors regarding DTx. Methods: This retrospective cohort study used electronic health record data from a large, integrated health care delivery system. Demographic and clinical characteristics of adult patients recommended versus not recommended DTx by a mental health provider between May 2020 and December 2021 were examined. A cross-sectional survey of mental health providers providing these recommendations was conducted in December 2022 to assess the characteristics of providers and recommendation behaviors related to DTx. Parametric and nonparametric tests were used to examine statistical significance between groups. Results: Of 335,250 patients with a mental health appointment, 53,546 (16%) received a DTx recommendation. Patients recommended to DTx were younger, were of Asian or Hispanic race or ethnicity, were female, were without medical comorbidities, and had commercial insurance compared to those without a DTx recommendation (P<.001). More patients receiving a DTx recommendation had anxiety or adjustment disorder diagnoses, but less had depression, bipolar, or psychotic disorder diagnoses (P<.001) versus matched controls not recommended to DTx. Overall, depression and anxiety symptom scores were lower in patients recommended to DTx compared to matched controls not receiving a recommendation, although female patients had a higher proportion of severe depression and anxiety scores compared to male patients. Provider survey results indicated a higher proportion of nonprescribers recommended DTx to patients compared to prescribers (P=.008). Of all providers, 29.4% (45/153) reported using the suggested internal electronic health record-based tools (eg, smart text) to recommend DTx, and of providers recommending DTx resources to patients, 64.1% (98/153) reported they follow up with patients to inquire on DTx benefits. Only 38.4% (58/151) of respondents report recommending specific DTx modules, and of those, 58.6% (34/58) report following up on the impact of these specific modules. Conclusions: DTx use in mental health was modest and varied by patient and provider characteristics. Providers do not appear to actively engage with these tools and integrate them into treatment plans. Providers, while expressing interest in potential benefits from DTx, may view DTx as a passive strategy to augment traditional treatment for select patients.

Indexed as

Mental DisordersAdultAgedCohort StudiesCross-Sectional StudiesDelivery of Health CareDelivery of Health Care, IntegratedElectronic Health RecordsFemaleHumansMaleMental Health ServicesMiddle AgedRetrospective StudiesSurveys and Questionnairesadultsanxietydepressiondigital therapeuticselectronic health recordmental healthmobile phonerecommendationretrospective cohortsurvey

Identifiers

PMID39356493
PMCPMC11463191

What Socratic 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 Socratic graph.