Meta Analysis the Effectiveness of Mobile-Based Stress Management Application on Stress and Depression among Workers

Authors

  • Niken Yuliani Untari Masters Program in Public Health, Universitas Sebelas Maret
  • Didik Tamtomo Faculty of Medicine, Universitas Sebelas Maret
  • Hanung Prasetya Study Program of Acupuncture, Health Polytechnics, Ministry of Health Surakarta

Abstract

Background: The application of stress management at this time really needs a smartphone application to prevent the occurrence of severe mental disorders, reduce stress levels and use this application more effectively. The purpose of this study is to conduct a meta-analysis with the aim of studying and estimating the effectiveness of mobile-based stress management applications on stress and depression in workers.
Subjects and Method: This study is a meta-analysis using PICO, Population: Workers, Intervention: Using a mobile-based stress management application, Comparison: Not using a mobile-based stress management application, Output: Stress and Depression. The process of searching for articles between 2012-2022 uses 5 databases: PubMed, Google Scholar, ProQuest, Science Direct and Scopus. The keywords used are “stress” OR “depression” AND “apps” OR “digital health” OR “mobile health” OR “message text” OR “phone calls” OR “website” OR “email” AND “employee” OR “ worker”. Inclusion criteria: article must be a full paper with Randomized Controlled Trial (RCT), article using English, population namely workers, mobile-based stress management application intervention, reported results are stress, depression, include research results number of respondents, average -mean score and standard deviation (SD). Articles that met the requirements were analyzed using the RevMan 5.3 application.
Results: There were 14 articles with a Randomized Controlled Trial (RCT) research design originating from Germany, Spain, Switzerland, England, America, Thailand, Taiwan, Korea, Vietnam which were carried out by meta-analysis. The size of the stress sample is 4,865 workers. The meta-analysis shows that workers who use the mobile-based stress management application have 1.08 units lower stress than do not use the mobile-based stress management application, and it is statistically significant (SMD = -1.08; 95% CI = -1.70 to -0.45; p= 0.007). The sample size for depression is 3,983 workers. Workers using the mobile-based stress management application had depression 0.47 units lower than those not using the mobile-based stress management application, and it was statistically significant (SMD = -0.47; 95% CI = -0.85 to -0.10; p = 0.01).
Conclusion: Mobile-based stress management application use reduces stress and depresssion in workers.
Keywords: stress, depression, stress-based mobile application, worker, employee, meta analysis

Correspondence:Niken Yuliani Untari. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: nikenyuliani1978@gmail.com. Mobile: +6281215810608

Journal of Health Policy and Management (2023)
https://doi.org/10.26911/thejhpm.2023.08.02.06

References

Amiri F, Mishabi MA, Hannani S, Azadi NA (2021). The effect of mobile-based training on coping strategies with job stress on the emotional cognitive regulation of operating room staff. J. Mil. Med. 23(5):387–394. Doi: :org/10.30491/JMM.23.5.387.

Budiarto E ,Afriani T (2018). Analisis Manajemen Stres Berbasis Aplikasi Smart-phone untuk Meningkatkan Koping Adaptif dalam Asuhan Keperawatan Jiwa: Literature Review (Smartphone Application-Based Stress Management Analysis to Improve Adaptive Coping in Mental Nursing Care: Literature Review). J. Keperawatan Muhammadiyah. 2(1) :49–57. Doi: org/10.30651/jkm.v2i1.960.

Comtois KA, Mata-Greve F, Johnson M, Pullmann MD, Mosser B, Arean P (2022). Effectiveness of Mental Health Apps for Distress During COVID-19 in US Unemployed and Essential Workers: Remote Pragmatic Randomized Clinical Trial. JMIR mHealth uHealth.10(11):e41689. Doi: org/10.2196/41689.

Ebert DD, Lehr D, Heber E, Riper H, Cuijpers P, Berking M (2016). Internet and mobile-based stress management for employees with adherence-focused guidance: Efficacy and mechanism of change. Scand J Work Environ Health. 42(5): 382–394. Doi: org/10.5271/sjweh.3573.

Fiol-DeRoque MA, Serrano-Ripoll MJ, Jiménez R, Zamanillo-Campos R, Yáñez-Juan AM, Bennasar-Veny M, Leiva A, et al. (2021). A mobile phone-based intervention to reduce mental health problems in health care workers during the COVID-19 pandemic (PsyCovidApp):Randomized controlled trial. JMIR mHealth uHealth. 9(5). Doi: org/10.2196/27039.

Heber E, Lehr D, Ebert DD, Berking M, Riper H (2016). Web-based and mobile stress management intervention for employees: A randomized controlled trial. J. Med. Internet Res. 18(1):1–15. Doi: org/10.2196/JMIR.5112.

Hsieh HF, Huang IC, Liu Y, Chen WL, Lee YW, Hsu HT (2020). The effects of biofeedback training and smartphone-delivered biofeedback training on resilience, occupational stress, and depressive symptoms among abused psychiatric nurses. Int J Environ

Re. Public Health. 17(8) : 1–11. Doi: org/10.3390/ijerph17082905.

Huberty JL, Espel-Huynh HM, Neher TL, Puzia ME (2022). Testing the Prag-matic Effectiveness of a Consumer-Based Mindfulness Mobile App in the Workplace: Randomized Controlled Trial. JMIR mHealth uHealth. 10(9): 1–21. Doi: org/10.2196/38903.

Hwang WJ, Jo HH (2019). Evaluation of the effectiveness of mobile app-based stress-management program: A randomized controlled trial. Int. J. Environ. Res. Public Health. 16(21). Doi:org/10.3390/ijerph16214270.

Imamura K, Tran TTT, Nguyen HT, Sasaki N, Kuribayashi K, Sakuraya A, Bui TM, et all., (2021). Efect of smartphone-based stress management programs on depression and anxiety of hospital nurses in vietnam: a threearm randomized-controlled trial : 1–12.Doi: Org/10.1038/s41598021903205.

Lacour M, Bloudeau L, Combescure C, Haddad K, Hugon F, Suppan L, Rodieux F, et al., (2021). Impact of a mobile app on paramedics’perceived and physiologic stress response during simulated prehospital pediatric cardiopulmonary resuscitation: Study

nested within a multicenter randomized controlled trial. JMIR mHealth uHealth. 9(10). Doi: org/10.2196/31748.

Lopresti AL, Smith SJ, Malvi H, Kodgule R,Wane D (2019). An investigation into the stress-relieving and pharmacological actions of an ashwagandha (Withania somnifera) extract: A randomized, doubleblind, placebo-controlled study. Medicine (United States).

(37). Doi: org/10.1097/MD.0000000000017186.

Luangapichart P, Saisavoey N, Viravan N (2022). Efficacy and Feasibility of the Minimal Therapist-Guided Four-Week Online Audio-Based Mindfulness Program ‘ Mindful Senses ’ for Burnout and Stress Reduction in Medical. Doi: Org./10.3390/healthcare10122532.

Mount G (2002). Stress management. J. Police Cris. Negot. 2(1) : 83–89. Doi: org/10.1300/J173v02n01_06.

Nixon P, Boß L, Heber E, Ebert DD,Lehr D (2021). A threearmed randomised controlled trial investigating the com-parative impact of guidance on the efficacy of a web-based stress management intervention and health impairing and promoting mechanisms of prevention. BMC Public Health. 21(1):1–18. Doi: org/10.1186/s12889021115042.

Ponzo S, Morelli D, Kawadler JM, Hemmings NR, Bird G, Plans D (2020). Efficacy of the digital therapeutic mobile app biobase to reduce stress and improve mental well-being among university students: Randomized controlled trial. JMIR mHealth uHealth. 8(4). Doi: org/10.2196/17767.

Ramadhany A, Firdausi AZ, Karyani U (2021). Stres Pada Mahasiswa Selama Pandemi Covid-19 (Stress in Students During the Covid-19 Pandemic). J. Psikol. Insight. 5(2):65–71. Doi: Org/10.17509/insight.v5i2.44099.

Taylor H, Cavanagh K, Field AP, Strauss C (2022). Health care workers’ need for headspace: Findings from a multisite definitive randomized controlled trial of an unguided digital mindfulness-based self-help app to reduce health-care worker stress.JMIR mHealth u-Health. 10(8). Doi: org/10.2196/31744.

Weerasekara MK (2022). Exploration of User Needs and Design Requirements of a Digital Stress Management Intervention for Software Engineers in Sri Lanka: A Qualitative Study :1–23. Doi: org/10.21203/rs.3.rs-1448568/v1.

Wilhelm S, Weingarden H, Greenberg JL, Hoeppner SSS, Norrason I, Bernstein E E, Mccoy TH, et al. (2022). Efficacy of App-Based Cognitive Behavioral Therapy for Body Dysmorphic Disorder with Coach Support: Initial Randomized Controlled Clinical Trial.

Psychother. Psychosom. 91(4):277–285. Doi: org/10.1159/000524628.

WHO (2022). WHO guidelines on mental health at work.

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Published

16-05-2023

How to Cite

Untari, N. Y., Tamtomo, D., & Prasetya, H. (2023). Meta Analysis the Effectiveness of Mobile-Based Stress Management Application on Stress and Depression among Workers. Journal of Health Policy and Management, 8(2), 134–146. Retrieved from https://thejhpm.com/index.php/thejhpm/article/view/327

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