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Oesterle TS, Hall-Flavin DK, Bormann NL, Loukianova LL, Fipps DC, Breitinger SA, Gilliam WP, Wu T, da Costa SC, Arndt S, Karpyak VM. Therapeutic Content of Mobile Phone Applications for Substance Use Disorders: An Umbrella Review. MAYO CLINIC PROCEEDINGS. DIGITAL HEALTH 2024; 2:192-206. [PMID: 38983444 PMCID: PMC11232654 DOI: 10.1016/j.mcpdig.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/11/2024]
Abstract
Mobile phone applications (MPAs) for substance use disorder (SUD) treatment are increasingly used by patients. Although pilot studies have shown promising results, multiple previous systematic reviews noted insufficient evidence for MPA use in SUD treatment-many of the previously published reviews evaluated different trials. Subsequently, we aimed to conduct an umbrella review of previously published reviews investigating the efficacy of MPAs for SUD treatment, excluding nicotine/tobacco because umbrella reviews have been done in this population and the nicotine/tobacco MPA approach often differs from SUD-focused MPAs. No previous reviews have included a statistical meta-analysis of clinical trials to quantify an estimated overall effect. Seven reviews met inclusion criteria, and 17 unique studies with available data were taken from those reviews for the meta-analysis. Overall, reviews reported a lack of evidence for recommending MPAs for SUD treatment. However, MPA-delivered recovery support services, cognitive behavioral therapy, and contingency management were identified across multiple reviews as having promising evidence for SUD treatment. Hedges g effect size for an MPA reduction in substance use-related outcomes relative to the control arm was insignificant (0.137; 95% CI, -0.056 to 0.330; P=.16). In subgroup analysis, contingency management (1.29; 95% CI, 1.088-1.482; τ 2=0; k=2) and cognitive behavioral therapy (0.02; 95% CI, 0.001-0.030; τ 2=0; k=2) were significant. Although contingency management's effect was large, both trials were small (samples of 40 and 30). This review includes an adapted framework for the American Psychiatric Association's MPA guidelines that clinicians can implement to review MPAs critically with patients.
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Affiliation(s)
- Tyler S Oesterle
- Department of Psychiatry and Psychology (T.S.O., D.K.H.-F., N.L.B., L.L.L., D.C.F., S.A.B., W.P.G., S.C.d.C., V.M.K.), Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology (T.W.), Mayo Clinic, Rochester, MN; Department of Psychiatry (S.A.), University of Iowa, Iowa City, IA; and Department of Biostatistics (S.A.), University of Iowa, Iowa City, IA
| | - Daniel K Hall-Flavin
- Department of Psychiatry and Psychology (T.S.O., D.K.H.-F., N.L.B., L.L.L., D.C.F., S.A.B., W.P.G., S.C.d.C., V.M.K.), Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology (T.W.), Mayo Clinic, Rochester, MN; Department of Psychiatry (S.A.), University of Iowa, Iowa City, IA; and Department of Biostatistics (S.A.), University of Iowa, Iowa City, IA
| | - Nicholas L Bormann
- Department of Psychiatry and Psychology (T.S.O., D.K.H.-F., N.L.B., L.L.L., D.C.F., S.A.B., W.P.G., S.C.d.C., V.M.K.), Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology (T.W.), Mayo Clinic, Rochester, MN; Department of Psychiatry (S.A.), University of Iowa, Iowa City, IA; and Department of Biostatistics (S.A.), University of Iowa, Iowa City, IA
| | - Larissa L Loukianova
- Department of Psychiatry and Psychology (T.S.O., D.K.H.-F., N.L.B., L.L.L., D.C.F., S.A.B., W.P.G., S.C.d.C., V.M.K.), Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology (T.W.), Mayo Clinic, Rochester, MN; Department of Psychiatry (S.A.), University of Iowa, Iowa City, IA; and Department of Biostatistics (S.A.), University of Iowa, Iowa City, IA
| | - David C Fipps
- Department of Psychiatry and Psychology (T.S.O., D.K.H.-F., N.L.B., L.L.L., D.C.F., S.A.B., W.P.G., S.C.d.C., V.M.K.), Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology (T.W.), Mayo Clinic, Rochester, MN; Department of Psychiatry (S.A.), University of Iowa, Iowa City, IA; and Department of Biostatistics (S.A.), University of Iowa, Iowa City, IA
| | - Scott A Breitinger
- Department of Psychiatry and Psychology (T.S.O., D.K.H.-F., N.L.B., L.L.L., D.C.F., S.A.B., W.P.G., S.C.d.C., V.M.K.), Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology (T.W.), Mayo Clinic, Rochester, MN; Department of Psychiatry (S.A.), University of Iowa, Iowa City, IA; and Department of Biostatistics (S.A.), University of Iowa, Iowa City, IA
| | - Wesley P Gilliam
- Department of Psychiatry and Psychology (T.S.O., D.K.H.-F., N.L.B., L.L.L., D.C.F., S.A.B., W.P.G., S.C.d.C., V.M.K.), Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology (T.W.), Mayo Clinic, Rochester, MN; Department of Psychiatry (S.A.), University of Iowa, Iowa City, IA; and Department of Biostatistics (S.A.), University of Iowa, Iowa City, IA
| | - Tiffany Wu
- Department of Psychiatry and Psychology (T.S.O., D.K.H.-F., N.L.B., L.L.L., D.C.F., S.A.B., W.P.G., S.C.d.C., V.M.K.), Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology (T.W.), Mayo Clinic, Rochester, MN; Department of Psychiatry (S.A.), University of Iowa, Iowa City, IA; and Department of Biostatistics (S.A.), University of Iowa, Iowa City, IA
| | - Sabrina Correa da Costa
- Department of Psychiatry and Psychology (T.S.O., D.K.H.-F., N.L.B., L.L.L., D.C.F., S.A.B., W.P.G., S.C.d.C., V.M.K.), Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology (T.W.), Mayo Clinic, Rochester, MN; Department of Psychiatry (S.A.), University of Iowa, Iowa City, IA; and Department of Biostatistics (S.A.), University of Iowa, Iowa City, IA
| | - Stephan Arndt
- Department of Psychiatry and Psychology (T.S.O., D.K.H.-F., N.L.B., L.L.L., D.C.F., S.A.B., W.P.G., S.C.d.C., V.M.K.), Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology (T.W.), Mayo Clinic, Rochester, MN; Department of Psychiatry (S.A.), University of Iowa, Iowa City, IA; and Department of Biostatistics (S.A.), University of Iowa, Iowa City, IA
| | - Victor M Karpyak
- Department of Psychiatry and Psychology (T.S.O., D.K.H.-F., N.L.B., L.L.L., D.C.F., S.A.B., W.P.G., S.C.d.C., V.M.K.), Mayo Clinic, Rochester, MN; Department of Gastroenterology and Hepatology (T.W.), Mayo Clinic, Rochester, MN; Department of Psychiatry (S.A.), University of Iowa, Iowa City, IA; and Department of Biostatistics (S.A.), University of Iowa, Iowa City, IA
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Bos E, Preller KH, Kaur G, Malhotra P, Kharawala S, Motti D. Challenges With the Use of Digital Sham: Systematic Review and Recommendations. J Med Internet Res 2023; 25:e44764. [PMID: 37874638 PMCID: PMC10630857 DOI: 10.2196/44764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 06/26/2023] [Accepted: 07/20/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Digital therapeutics (DTx) are software-based products that prevent, manage, or treat a medical condition and are delivered through a smartphone app, web application, or wearable device. Clinical trials assessing DTx pose challenges, foremost among which is designing appropriate digital shams (or digital placebos), which should ideally mimic DTx (in terms of design, components, and duration of treatment) while omitting the active principle or component. OBJECTIVE The objective of our review was to understand how digital shams are being used in clinical research on DTx in neuroscience, which is the most common therapy area for DTx. METHODS We conducted a systematic literature review of DTx in neuroscience (including neurodevelopmental, neurodegenerative, and psychiatric disorders) with a focus on controlled clinical trials involving digital shams. Studies were identified from trial registries (ClinicalTrials.gov, the European Union Clinical Trials Register, and Trial Trove) and through structured searches in MEDLINE and Embase (both via the Embase website) and were limited to articles in English published from 2010 onward. These were supplemented by keyword-based searches in PubMed, Google, and Google Scholar and bibliographic searches. Studies assessing DTx in neuroscience (including neurodevelopmental, neurodegenerative, and psychiatric disorders) were included. Details related to the publication, DTx, comparator, patient population, and outcomes were extracted and analyzed. RESULTS Our search criteria identified 461 neuroscience studies involving 213 unique DTx. Most DTx were extended reality based (86/213, 40.4%) or mobile device based (56/213, 26.3%); 313 were comparative, of which 68 (21.7%) used shams. The most common therapeutic areas assessed in these studies were stroke (42/213, 19.7%), depression (32/213, 15%), and anxiety (24/213, 11.3%). The most common treatments were cognitive behavioral therapy or behavioral therapy (67/213, 32.4%), physical rehabilitation (60/213, 28.2%), and cognitive training (41/213, 19.2%). We identified the following important issues related to the use of digital shams in neuroscience: shams were not validated before use in studies, they varied widely in design (from being nearly identical to the DTx to using different software programs altogether), and the level of patient engagement or satisfaction with the sham and the impact of the sham on study outcomes were infrequently reported. CONCLUSIONS Digital shams are critical for the clinical development of DTx in neuroscience. Given the importance of sham controls in evaluating DTx efficacy, we provide recommendations on the key information that should be reported in a well-designed DTx trial and propose an algorithm to allow the correct interpretation of DTx study results. Sham-controlled studies should be routinely used in DTx trials-in early-phase studies-to help identify DTx active components and-in late-phase studies-to confirm the efficacy of DTx. The use of shams early in development will ensure that the appropriate sham control is used in later confirmatory trials.
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Affiliation(s)
- Ernst Bos
- F Hoffmann-La Roche Ltd, Basel, Switzerland
| | | | - Gavneet Kaur
- Bridge Medical Consulting Limited, London, United Kingdom
| | - Pooja Malhotra
- Bridge Medical Consulting Limited, London, United Kingdom
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Eék N, Sundström C, Kraepelien M, Lundgren J, Kaldo V, Berman AH. High- versus low-intensity internet interventions for alcohol use disorders (AUD): A two-year follow-up of a single-blind randomized controlled trial. Internet Interv 2023; 33:100630. [PMID: 37293578 PMCID: PMC10244691 DOI: 10.1016/j.invent.2023.100630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 05/11/2023] [Accepted: 05/17/2023] [Indexed: 06/10/2023] Open
Abstract
Alcohol Use Disorders (AUD) are widespread and have serious consequences, but are among the most undertreated mental disorders. Internet interventions have been found effective in treating AUD, but we know little about long-term outcomes, two years or more after treatment. This study explored 12- and 24-month outcomes in alcohol consumption following initial 6-month improvements after a therapist-guided high-intensity internet intervention and an unguided low-intensity internet intervention among individuals with alcohol use disorder. Between-group comparisons were analyzed, as well as within-group comparisons with (1) pre-treatment measurements (2) post-treatment measurements. Participants consisted of a general population sample of internet help-seekers in Sweden. A total of 143 adults (47% men) with a score of 14 (women)/16 (men) or more on the Alcohol Use Disorders Identification Test, alcohol consumption of 11 (women)/14 (men) or more standard drinks the preceding week and ≥ 2 DSM-5 alcohol use disorder (AUD) criteria based on a diagnostic interview were included. The high- and low-intensity internet interventions (n = 72 and n = 71 respectively) consisted of modules based on relapse prevention and cognitive-behavioral therapy. The primary outcome was self-reported alcohol consumption in the preceding week measured as (1) number of standard drinks and (2) number of heavy drinking days. Attrition from self-reported questionnaires was 36% at the 12-month follow-up and 53% at the 24-month follow-up. No significant between-group differences occurred in outcomes at either long-term follow-up. Regarding within-group differences, compared to pre-treatment, alcohol consumption was lower in both high- and low-intensity interventions at both long-term follow-ups [within-group standard drinks effect sizes varied between g = 0.38-1.04 and heavy drinking days effect sizes varied between g = 0.65-0.94]. Compared to post-treatment, within-group alcohol consumption in the high intensity intervention increased at both follow-ups; for the low-intensity intervention, within-group consumption decreased at 12-month follow-up, but did not differ compared to post-treatment at 24 months. Both high- and low-intensity internet interventions for AUD were thus associated with overall reductions in alcohol consumption at long term follow-ups, with no significant differences between the two. However, conclusions are hampered by differential and non-differential attrition.
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Affiliation(s)
- Niels Eék
- University of Gothenburg, Department of Psychology, Sweden
| | - Christopher Sundström
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Sweden
- Linnaeus University Faculty of Health and Life Sciences, Sweden
| | - Martin Kraepelien
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Sweden
| | | | - Viktor Kaldo
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, & Stockholm Health Care Services, Region Stockholm, Sweden
- Linnaeus University Faculty of Health and Life Sciences, Sweden
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