Acceptability, User Satisfaction, and Feasibility of an App-Based Support Service During the COVID-19 Pandemic in a Psychiatric Outpatient Setting: Prospective Longitudinal Observational Study

被引:0
作者
Golsong, Konstanze [1 ]
Kaufmann, Luisa [1 ]
Baldofski, Sabrina [1 ]
Kohls, Elisabeth [1 ,2 ]
Rummel-Kluge, Christine [1 ,2 ]
机构
[1] Univ Leipzig, Med Fac, Dept Psychiat & Psychotherapy, Leipzig, Germany
[2] Univ Leipzig Med Ctr, Dept Psychiat & Psychotherapy, Haus 13,Semmelweisstr 10, Leipzig, Germany
关键词
mental health; eHealth; app; health care; app-based support; psychiatric symptoms; mobile phone; COVID-19; HEALTH QUESTIONNAIRE-9 PHQ-9; PSYCHOMETRIC-PROPERTIES; TREATMENT EXPECTANCY; DEPRESSION; INTERVENTIONS; DISORDERS; COMORBIDITY; SEVERITY; VALIDITY; ILLNESS;
D O I
10.2196/60461
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Patients with mental disorders often have difficulties maintaining a daily routine, which can lead to exacerbated symptoms. It is known that apps can help manage mental health in a low-threshold way and can be used in therapeutic settings to complement existing therapies. Objective: The aim of this study was to evaluate the acceptability, usability, and feasibility of an app-based support service specifically developed for outpatients with severe mental disorders in addition to regular face-to-facetherapy during the COVID-19 pandemic. Methods: Patients in a psychiatric outpatient department at a German university hospital were invited to use an app-based support service designed transdiagnostically for mental disorders for 4 weeks. The app included 7 relaxation modules, consisting of video, audio, and psychoeducational text; ecological momentary assessment-like questionnaires on daily mood answered via a visual smiley-face scale; and an activity button to record and encourage daily activities. Standardized questionnaires at baseline (T0; preintervention time point) and after 4 weeks (T2; postintervention time point) were analyzed. Feedback via the smiley-face scalewas provided after using the app components (T1; during the intervention). Measures included depressivesymptoms, quality of life, treatment credibility and expectancy, and satisfaction. Furthermore, participation rates, use of app modules and the activity button, and daily mood and the provided feedback were analyzed (T2). Results: In total, 57 patients participated in the study, and the data of 38 (67%) were analyzed; 17 (30%) dropped out. Satisfaction with the app was high, with 53% (30/57) of the participants stating being rather satisfied or satisfied. Furthermore, 79% (30/38) of completers stated they would be more likely or were definitely likely to use an app-based support service again and recommend it. Feasibilityand acceptability were high, with nearly half (18/38, 47%) of the completers trying relaxation modulesand 71% (27/38) regularly responding to the ecological momentary assessment-like questionnaire between 15 and 28 times (mean 19.91, SD 7.57 times). The activity button was used on average 12 (SD 15.72) times per completer, and 58% (22/38) felt "definitely" or "rather" encouraged to perform the corresponding activities. Depressive symptomatology improved significantly at the postintervention time point (P=.02). Quality of life showed a nonsignificant increase in the physical, psychological, and social domains (P=.59, P =.06, and P =.42, respectively) and a significant improvement in the environment domain (P=.004). Treatment credibility and expectancy scores were moderateand significantly decreased at T2 (P=.02 and P <.001, respectively). Posttreatment expectancy scores were negatively associated with posttreatment depressivesymptomatology (r=-0.36; P =.03). Conclusions: App-based programs seem to be an accessible tool for stabilizing patients with severe mental disorders, supporting them in maintaining a daily routine, complementing existing face-to-face treatments, and overall helping respond to challenging situations such as the COVID-19 pandemic.
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