A Validation Study of Mental Health Monitoring Through a Mobile Application
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초록
Objective Face-to-face evaluation is the most important in psychiatric evaluation, but smart healthcare, including non-face-to-face evaluation, can be beneficial considering the situation in which face-to-face evaluation is limited or the preventive aspect of mental illness. In this paper, we aimed to check whether mental health screening tests have the same significance as paper-based tests even when collected through mobile applications.Methods A smart mental healthcare screening test was conducted on the 1,327 community subjects. We measured two indicators of depression (Patient Health Questionnaire 9-item scale, PHQ-9) and anxiety (Generalized Anxiety Disorder 7-item scale, GAD-7) to check mental health conditions.Results The average Cronbach’s alpha value of the PHQ-9 questionnaire was good at 0.870. As a result of PHQ-9’s principal component analysis, one component with an eigenvalue of 1 or more was identified, which is suitable to be described as a single factor. The average Cronbach’s alpha value of the GAD-7 was 0.919. The structural validity of the GAD-7 was confirmed through principal component analysis.Conclusion Our results show that PHQ-9 and GAD-7 scales performed through mobile applications can have the same meaning as paper-based tests. Surveys using a tablet PC, or smartphone application can monitor residents’ mental health and accumulate data. Based on these data, smart mental health management can check the mental health of residents and treat mental illness in connection with medical services.
Abstract
Objective Face-to-face evaluation is the most important in psychiatric evaluation, but smart healthcare, including non-face-to-face evaluation, can be beneficial considering the situation in which face-to-face evaluation is limited or the preventive aspect of mental illness. In this paper, we aimed to check whether mental health screening tests have the same significance as paper-based tests even when collected through mobile applications.Methods A smart mental healthcare screening test was conducted on the 1,327 community subjects. We measured two indicators of depression (Patient Health Questionnaire 9-item scale, PHQ-9) and anxiety (Generalized Anxiety Disorder 7-item scale, GAD-7) to check mental health conditions.Results The average Cronbach’s alpha value of the PHQ-9 questionnaire was good at 0.870. As a result of PHQ-9’s principal component analysis, one component with an eigenvalue of 1 or more was identified, which is suitable to be described as a single factor. The average Cronbach’s alpha value of the GAD-7 was 0.919. The structural validity of the GAD-7 was confirmed through principal component analysis.Conclusion Our results show that PHQ-9 and GAD-7 scales performed through mobile applications can have the same meaning as paper-based tests. Surveys using a tablet PC, or smartphone application can monitor residents’ mental health and accumulate data. Based on these data, smart mental health management can check the mental health of residents and treat mental illness in connection with medical services.
참고문헌 (27)
- Prevention of mental disorders: effective interventions and policy options: summary report, "World Health Organization", Health Organization, ~ (2004)
- Sharma S, "Mobile technology : a tool for healthcare and a boon in pandemic", J Family Med Prim Care, 11, pp.37~43 (2022)
- Global mobile market report 2021, "Newzoo", Newzoo, ~ (2021)
- Lagan S, "Mental health app evaluation : updating the American Psychiatric Association’s framework through a stakeholder-engaged workshop", Psychiatr Serv, 72, pp.1095~1098 (2021)
- "Number of smartphone users worldwide from 2013 to 2028"[URL]
- Wang K, "A systematic review of the effectiveness of mobile apps for monitoring and management of mental health symptoms or disorders", J Psychiatr Res, 107, pp.73~78 (2018)
- World Health Organization, "Depression and other common mental disorders : global health estimates", World Health Organization, ~ (2017)
- Dubad M, "A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people", Psychol Med, 48, pp.208~228 (2018)
- Girela-Serrano BM, "Impact of mobile phones and wireless devices use on children and adolescents’ mental health : a systematic review", Eur Child Adolesc Psychiatry (2022)[DOI]
- Spitzer RL, "Validation and utility of a self-report version of PRIME-MD : the PHQ primary care study", JAMA, 282, pp.1737~1744 (1999)
- American Psychiatric Association, "DSM-IV-TR" (2000), American Psychiatric Association
- Kroenke K, "PHQ-9 : global uptake of a depression scale", World Psychiatry, 20, pp.135~136 (2021)
- 안제용, "한국어판 우울증 선별도구(Patient Health Questionnaire-9, PHQ-9)의 표준화 연구", 생물치료정신의학, 19(1), pp.47~56 (2013), 대한생물치료정신의학회
- Spitzer RL, "A brief measure for assessing generalized anxiety disorder : the GAD-7", Arch Intern Med, 166, pp.1092~1097 (2006)
- Lee B, "The psychometric properties of the Generalized Anxiety Disorder scale(GAD-7)among Korean university students", Psychiatr Clin Psychopharmacol, 29, pp.864~871 (2019)
- George D, "Using SPSS for windows step by step : a simple guide and reference(4th ed)" (2003), Pearson Education
- Shin C, "Normative data and psychometric properties of the Patient Health Questionnaire-9 in a nationally representative Korean population", BMC Psychiatry, 20, pp.194~ (2020)
- Dadfar M, "Reliability and validity of the Farsi version of the Patient Health Questionnaire-9(PHQ-9)with Iranian psychiatric outpatients", Trends Psychiatry Psychother, 40, pp.144~151 (2018)
- Byrd-Bredbenner C, "GAD-7, GAD-2, and GAD-mini : psychometric properties and norms of university students in the United States", Gen Hosp Psychiatry, 69, pp.61~66 (2021)
- Sousa TV, "Reliability and validity of the Portuguese version of the Generalized Anxiety Disorder(GAD-7)scale", Health Qual Life Outcomes, 13, pp.50~ (2015)
- Goltermann J, "Smartphone-based self-reports of depressive symptoms using the remote monitoring application in psychiatry(ReMAP) : interformat validation study", JMIR Ment Health, 8, pp.e24333~ (2021)
- Korea Disease Control and Prevention Agency, "Korea national health statistics 2021", Korea Disease Control and Prevention Agency, ~ (2022)
- "The report of the Korean adolescent in 2022"[URL]
- Dennis ML, "A pilot study to examine the feasibility and potential effectiveness of using smartphones to provide recovery support for adolescents", Subst Abus, 36, pp.486~492 (2015)
- Kauer SD, "Selfmonitoring using mobile phones in the early stages of adolescent depression : randomized controlled trial", J Med Internet Res, 14, pp.e67~ (2012)
- Stone AA, "Patient compliance with paper and electronic diaries", Control Clin Trials, 24, pp.182~199 (2003)
- Torous J, "Needed innovation in digital health and smartphone applications for mental health : transparency and trust", JAMA Psychiatry, 74, pp.437~438 (2017)