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1.
PLoS One ; 17(8): e0272162, 2022.
Article in English | MEDLINE | ID: covidwho-1993483

ABSTRACT

BACKGROUND: The COVID-19 pandemic created an unprecedented need for mental health services that can be remotely delivered. Digital mental health services that offer personalized care recommendations hold promise to efficiently expand service, but evidence of the effectiveness of digitally delivered mental health care in real-world settings remains limited. METHODS: A retrospective cohort of adults (N = 1,852) receiving care through a digital mental health platform with elevated depressive symptoms during the COVID-19 pandemic was analyzed to estimate changes in subjective well-being and clinical improvement in depressive symptoms (using the World Health Organization-Five [WHO-5] Well-Being Index), as well as compare the relative effectiveness and cost of different care utilization patterns. RESULTS: The average improvement in WHO-5 score was 10.1 points (CI: 9.3-10.9, p<0.001) at follow-up, which constituted a medium effect size (d = 0.73). The odds of clinical improvement in depressive symptoms were significantly greater among those who utilized telecoaching (aOR = 2.45, 95%CI: 1.91-3.15, p < .001), teletherapy (aOR = 2.01, 95%CI: 1.57-2.57, p < .001), and both services (aOR = 2.28, 95%CI: 1.67-3.11, p < .001) compared to those who only utilized assessments, adjusting for baseline WHO-5 score, age, sex, and number of days between baseline and follow-up assessments. The average estimated cost of care for telecoaching was $124 per individual, which was significantly less than teletherapy ($413) or both services ($559). CONCLUSION: Digitally delivered care with a therapist and/or coach was effective in improving subjective well-being and clinical improvement in depressive symptoms. Although clinical outcomes were similar across utilization patterns, the cost of care was lowest among those utilizing telecoaching.


Subject(s)
COVID-19 , Mental Health Services , Adult , COVID-19/epidemiology , Humans , Mental Health , Pandemics , Retrospective Studies
2.
J Technol Behav Sci ; 7(4): 439-450, 2022.
Article in English | MEDLINE | ID: covidwho-1935907

ABSTRACT

Digital mental health services leverage technology to increase access to care, yet less is known about the quality of therapeutic relationships in a virtual setting. This study examined components of therapeutic alliance (a mechanism underlying successful treatment) and its association with beneficial treatment outcomes in a real-world, virtual setting. The objective is to examine (1) participant ratings of components of therapeutic alliance with providers in a virtual setting, (2) changes in subjective well-being and depressive symptoms among participants who began care with elevated depressive symptoms, and (3) the association between components of alliance and changes in participants' well-being. Adults (N = 3,087, M age = 36 ± 9 years, 54% female) across the world with access to digital mental health benefits who engaged in videoconference sessions with a licensed therapist (18%, 555/3,087), certified coach (65%, 2,003/3,087), or both (17%, 529/3,087) between Sept. 29, 2020 and Oct. 12, 21. Participants completed 2 adapted items from the Working Alliance Inventory (goals and bonds subscales) after each session, and ratings were averaged across visits (Cronbach's ɑ = .72). Participants' World Health Organization-Five (WHO-5) Well-Being Index scores at the start and end of the study period were used to measure changes in subjective well-being. Descriptive and inferential statistics were conducted to examine average alliance ratings across demographics and utilization types and the association between alliance and well-being. The median adapted therapeutic alliance score was 4.8 (range: 1-5) and did not differ by age, country, or baseline well-being (Ps > .07). Females reported higher components of alliance than males (4.88 vs. 4.67, P = .01). Participants utilizing telecoaching reported higher components of alliance than those utilizing teletherapy or both telecoaching and teletherapy (4.83 v. 4.75, P = .004), though effect sizes were negligible. Among those with elevated baseline depressive symptoms (n = 835), participants reported an average WHO-5 increase of 15.42 points (95% CI 14.19-16.65, P < .001, Cohen d = 1.06) with 58% (485/835) reporting clinical recovery and 57% (481/835) reporting clinical improvement in depressive symptoms. Higher components of therapeutic alliance scores predicted greater well-being at follow-up (b = 2.04, 95% CI 0.09-3.99, P = .04) after controlling for age, sex, baseline WHO-5, and number of days in care (R 2 = .06, P < .001). Exploratory analyses indicated this association did not differ by utilization type, baseline well-being, or session utilization (Ps > .34). People with access to one-on-one videoconferencing care via a digital mental health benefit formed a strong bond and sense of alignment on goals with both coaches and therapists. Higher components of alliance scores were associated with improvements in subjective well-being among participants who began care with elevated depressive symptoms, providing evidence that a positive bond and goal alignment with a provider are two of many factors influencing virtual care outcomes. Continued focus on the quality of therapeutic relationships will ensure digital mental health services are patient-tailored as these platforms expand equitable access to evidence-based care.

3.
JMIR Diabetes ; 6(1): e25295, 2021 Feb 22.
Article in English | MEDLINE | ID: covidwho-1161018

ABSTRACT

BACKGROUND: Translation of diabetes self-management education and support (DSMES) into a digital format can improve access, but few digital programs have demonstrated outcomes using rigorous evaluation metrics. OBJECTIVE: The aim of this study was to evaluate the impact of a digital DSMES program on hemoglobin A1c (HbA1c) for people with type 2 diabetes. METHODS: A single-arm, nonrandomized trial was performed to evaluate a digital DSMES program that includes remote monitoring and lifestyle change, in addition to comprehensive diabetes education staffed by a diabetes specialist. A sample of 195 participants were recruited using an online research platform (Achievement Studies, Evidation Health Inc). The primary outcome was change in laboratory-tested HbA1c from baseline to 4 months, and secondary outcomes included change in lipids, diabetes distress, and medication adherence. RESULTS: At baseline, participants had a mean HbA1c of 8.9% (SD 1.9) and mean BMI of 37.5 kg/m2 (SD 8.3). The average age was 45.1 years (SD 8.9), 70% were women, and 67% were White. At 4-month follow up, the HbA1c decreased by 0.8% (P<.001, 95% CI -1.1 to -0.5) for the total population and decreased by 1.4% (P<.001, 95% CI -1.8 to -0.9) for those with an HbA1c of >9.0% at baseline. Diabetes distress and medication adherence were also significantly improved between baseline and follow up. CONCLUSIONS: This study provides early evidence that a digitally enhanced DSMES program improves HbA1c and disease self-management outcomes.

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