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      Digital Medicine System in Veterans With Severe Mental Illness: Feasibility and Acceptability Study

      research-article
      , BA 1 , 2 , , MD, MscPHR 3 , 4 , , PhD 5 , , MS 1 , 2 , , PharmD 6 , , MD, PhD 7 , 8 , , PhD 1 , 9 , , BS 3 , 4 , , MD 3 , 4 , , DrPH 1 , 2 , 10 , 1 , 2 , , BASc 3 , 4 , , MD 3 , 4 , , MStat 1 , , PhD 1 , 2 , 8 , 10 ,
      (Reviewer), (Reviewer)
      JMIR Formative Research
      JMIR Publications
      ABILIFY MYCITE, digital medicine, adherence, aripiprazole, Veterans, qualitative methods, mental illness, mental health, medication, mobile phone

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          Abstract

          Background

          Suboptimal medication adherence is a significant problem for patients with serious mental illness. Measuring medication adherence through subjective and objective measures can be challenging, time-consuming, and inaccurate.

          Objective

          The primary purpose of this feasibility and acceptability study was to evaluate the impact of a digital medicine system (DMS) among Veterans (patients) with serious mental illness as compared with treatment as usual (TAU) on medication adherence.

          Methods

          This open-label, 2-site, provider-randomized trial assessed aripiprazole refill adherence in Veterans with schizophrenia, schizoaffective disorder, bipolar disorder, or major depressive disorder. We randomized 26 providers such that their patients either received TAU or DMS for a period of 90 days. Semistructured interviews with patients and providers were used to examine the feasibility and acceptability of using the DMS.

          Results

          We enrolled 46 patients across 2 Veterans Health Administration sites: 21 (46%) in DMS and 25 (54%) in TAU. There was no difference in the proportion of days covered by medication refill over 3 and 6 months (0.82, SD 0.24 and 0.75, SD 0.26 in DMS vs 0.86, SD 0.19 and 0.82, SD 0.21 in TAU, respectively). The DMS arm had 0.85 (SD 0.20) proportion of days covered during the period they were engaged with the DMS (mean 144, SD 100 days). Interviews with patients (n=14) and providers (n=5) elicited themes salient to using the DMS. Patient findings described the positive impact of the DMS on medication adherence, challenges with the DMS patch connectivity and skin irritation, and challenges with the DMS app that affected overall use. Providers described an overall interest in using a DMS as an objective measure to support medication adherence in their patients. However, providers described challenges with the DMS dashboard and integrating DMS data into their workflow, which decreased the usability of the DMS for providers.

          Conclusions

          There was no observed difference in refill rates. Among those who engaged in the DMS arm, the proportion of days covered by refills were relatively high (mean 0.85, SD 0.20). The qualitative analyses highlighted areas for further refinement of the DMS.

          Trial Registration

          ClinicalTrials.gov NCT03881449; https://clinicaltrials.gov/ct2/show/NCT03881449

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          Most cited references15

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          Applied Thematic Analysis

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            Matrix analysis as a complementary analytic strategy in qualitative inquiry.

            In the current health care environment, researchers are asked to share meaningful results with interdisciplinary professional audiences, concerned community members, students, policy makers, planners, and financial officers. Emphasis is placed on effective health care outcomes and evidence, especially for underserved and vulnerable populations. Any research strategy that facilitates the clear, accurate communication of findings and voices will likely benefit groups targeted for intervention with scarce resources. In this example, matrix analysis contributes to the display, interpretation, pragmatic evaluation, and dissemination of findings in a study of rural elders. The author proposes matrix analysis as a strategy to advance knowledge and enhance the development of evidence in qualitative research.
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              Self-report measures of medication adherence behavior: recommendations on optimal use.

              Medication adherence plays an important role in optimizing the outcomes of many treatment and preventive regimens in chronic illness. Self-report is the most common method for assessing adherence behavior in research and clinical care, but there are questions about its validity and precision. The NIH Adherence Network assembled a panel of adherence research experts working across various chronic illnesses to review self-report medication adherence measures and research on their validity. Self-report medication adherence measures vary substantially in their question phrasing, recall periods, and response items. Self-reports tend to overestimate adherence behavior compared with other assessment methods and generally have high specificity but low sensitivity. Most evidence indicates that self-report adherence measures show moderate correspondence to other adherence measures and can significantly predict clinical outcomes. The quality of self-report adherence measures may be enhanced through efforts to use validated scales, assess the proper construct, improve estimation, facilitate recall, reduce social desirability bias, and employ technologic delivery. Self-report medication adherence measures can provide actionable information despite their limitations. They are preferred when speed, efficiency, and low-cost measures are required, as is often the case in clinical care.
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                Author and article information

                Contributors
                Journal
                JMIR Form Res
                JMIR Form Res
                JFR
                JMIR Formative Research
                JMIR Publications (Toronto, Canada )
                2561-326X
                December 2022
                22 December 2022
                : 6
                : 12
                : e34893
                Affiliations
                [1 ] Durham Center of Innovation to Accelerate Discovery and Practice Transformation Durham Veterans Affairs Medical Center Durham, NC United States
                [2 ] Department of Population Health Sciences Duke University School of Medicine Durham, NC United States
                [3 ] Mental Health Care Line Michael E. DeBakey Veterans Affairs Medical Center Houston, TX United States
                [4 ] Department of Psychiatry and Behavioral Health Sciences Baylor College of Medicine Houston, TX United States
                [5 ] Global Clinical Development Otsuka Pharmaceutical Development and Commercialization Inc. Princeton, NJ United States
                [6 ] Pharmacy Service Durham Veterans Affairs Health Care System Durham, NC United States
                [7 ] Durham Veterans Affairs Medical Center Durham, NC United States
                [8 ] Department of Psychiatry and Behavioral Sciences Duke University School of Medicine Durham, NC United States
                [9 ] School of Nursing Duke University Durham, NC United States
                [10 ] Division of General Internal Medicine Department of Medicine Duke University Durham, NC United States
                Author notes
                Corresponding Author: Hayden B Bosworth hayden.bosworth@ 123456duke.edu
                Author information
                https://orcid.org/0000-0002-7860-3341
                https://orcid.org/0000-0002-4263-9086
                https://orcid.org/0000-0001-6791-9546
                https://orcid.org/0000-0002-8307-7286
                https://orcid.org/0000-0002-6839-5948
                https://orcid.org/0000-0002-3357-695X
                https://orcid.org/0000-0002-1356-1857
                https://orcid.org/0000-0002-9383-296X
                https://orcid.org/0000-0003-4315-4803
                https://orcid.org/0000-0001-5170-9819
                https://orcid.org/0000-0002-1107-6102
                https://orcid.org/0000-0003-4998-5376
                https://orcid.org/0000-0002-6064-6343
                https://orcid.org/0000-0001-9565-248X
                https://orcid.org/0000-0001-6188-9825
                Article
                v6i12e34893
                10.2196/34893
                9816955
                36548028
                c427349e-1b39-4718-ae13-63ae65bb0192
                ©Sarah Gonzales, Olaoluwa O Okusaga, J Corey Reuteman-Fowler, Megan M Oakes, Jamie N Brown, Scott Moore, Allison A Lewinski, Cristin Rodriguez, Norma Moncayo, Valerie A Smith, Shauna Malone, Justine List, Raymond Y Cho, Amy S Jeffreys, Hayden B Bosworth. Originally published in JMIR Formative Research (https://formative.jmir.org), 22.12.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.

                History
                : 9 December 2021
                : 11 April 2022
                : 4 August 2022
                : 24 August 2022
                Categories
                Original Paper
                Original Paper

                abilify mycite,digital medicine,adherence,aripiprazole,veterans,qualitative methods,mental illness,mental health,medication,mobile phone

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