Comparative analysis of conventional methods and e-coaching in enhancing the role of families in mental disorder care
Keywords:
Conventional methods, E-Coaching intervention, Role of families, Mental disorderAbstract
Families serve as the primary caregivers, playing a critical role in home-based care. This study compares the effectiveness of conventional methods and e-Coaching in empowering families to care for relatives with mental disorders. This study employed a quasi-experimental design with a pretest and posttest in two groups: an intervention group using the e-Coaching method and a control group using conventional methods. The participants consisted of 122 family caregivers of individuals with mental disorders. The sample size was determined using GPower, and data collection employed mixed methods surveys, interviews, and observations to ensure triangulation. Quantitative analysis involved regression adjustment and weighting to minimise sampling bias. The study was conducted in three stages. In Stage 1, in-depth interviews with families revealed five key themes: caregiving challenges. Stage 2 involved developing the e-Coaching application based on these findings. Stage 3, tested the app’s effectiveness. Posttest scores indicated that family empowerment improved significantly in both groups, but the e-Coaching group showed higher gains (posttest 2: 63.85 vs. 60.84). Future research should explore long-term impacts and adaptations for populations with limited digital access or low literacy.
References
1. Muryani NMS, Putra IGY, Artawan IK. Family Experience Dealing with Relapse in People with Mental Disorders. Babali Nursing Research 3: 135–142, 2022. doi: 10.37363/bnr.2022.32106.
2. Magura S, Laudet AB, Mahmood D, Rosenblum A, Knight E. Adherence to medication regimens and participation in dual-focus self-help groups. Psychiatric Services Vol. 53 No. 3: 311–316, 2002. Doi: https://doi.org/10.1176/appi.ps.53.3.310.
3. Ahmed AO, Doane NJ, Mabe PA, Buckley PF, Birgenheir D, Goodrum NM. Peers and peer-led interventions for people with schizophrenia. Psychiatric Clinics 35: 699–715, 2012. doi: 10.1016/j.psc.2012.06.009.
4. Farkhah L, Hernawati T. Faktor caregiver dan kekambuhan klien skizofrenia. Jurnal Keperawatan Padjajaran 5: 37–46, 2017. Doi: https://doi.org/10.24198/jkp.v5i1.348.
5. Fadli SM, Mitra M. Pengetahuan dan ekspresi emosi keluarga serta frekuensi kekambuhan penderita skizofrenia. Kesmas: National Public Health Journal 7: 466–470, 2013. doi: 10.21109/kesmas.v7i10.6.
6. Mubin MF, Livana PH. Reduction of family stress level through psychoeducational therapy of psychoeducation of schizophrenia paranoid families. Enferm Clin 30: 155–159, 2020. Doi: https://doi.org/10.1016/j.enfcli.2019.12.048.
7. Schennach R, Obermeier M, Naber D, Ruther E. Predictors of relapse in the year after hospital discharge among patients with schizophrenia. Psychiatric Services Vol. 63 No. 1: 87–90, 2012. Doi: https://doi.org/10.1176/appi.ps.201100084.
8. Abdullah Koolmees H, Gardarsdottir H, Egberts TCG, Minnema LA, Elmi K, Stoker LJ, Vuyk J, Goedhard LE, Heerdink ER. Predicting rehospitalization in patients treated with antipsychotics: a prospective observational study. Ther Adv Psychopharmacol 8: 213–229, 2018. doi: 10.1177/2045125318762373.
9. Emsley R, Chiliza B, Asmal L, Harvey BH. The nature of relapse in schizophrenia. BMC Psychiatry 13: 1–8, 2013.
10. Gellad WF, Grenard JL, Marcum ZA. A systematic review of barriers to medication adherence in the elderly: Looking beyond cost and regimen complexity. American Journal Geriatric Pharmacotherapy 9: 11–23, 2011. doi: 10.1016/j.amjopharm.2011.02.004.
11. Gkintoni E, Vantaraki F, Skoulidi C, Anastassopoulos P, Vantarakis A. Promoting Physical and Mental Health among Children and Adolescents via Gamification—A Conceptual Systematic Review. Behavioral Sciences 14, 2024. doi: 10.3390/bs14020102.
12. Purcell N, Zamora K, Bertenthal D, Abadjian L, Tighe J, Seal KH. How VA Whole Health Coaching Can Impact Veterans’ Health and Quality of Life: A Mixed-Methods Pilot Program Evaluation. Glob Adv Health Med 10: 2164956121998283, 2021. doi: 10.1177/2164956121998283.
13. Garcia Carpintero Blas E, Velez Velez E, Martinez Miguel E, Tovar Reinoso A, Del Pozo Herce P, Gonzalez Navajas C, Gomez Moreno C. Understanding family experiences: a study on mental health literacy in adolescent eating disorder diagnoses. Nurs Rep 14: 4145–4161, 2024. doi: 10.3390/nursrep14040302.
14. Cardona M, Kretschmer T, Strobel T. ICT and productivity: conclusions from the empirical literature. Information Economics and Policy 25: 109–125, 2013. doi: https://doi.org/10.1016/j.infoecopol.2012.12.002.
15. Chen X, Hartt M. Planning for an Older and Digital Future: Opportunities and Challenges of Age-Friendly E-Participation in China. Planning Theory and Practice 22: 191–210, 2021. doi: 10.1080/14649357.2021.1903536.
16. Sediyono E, Christianto PA, Sembiring I. A Note on the combination of the new similarity formula with feedback to better handle complaints of in-vitro fertilization (IVF) Patients. Karbala International Journal of Modern Science (KIJOMS) 9: 398–403, 2023. doi: https://doi.org/10.33640/2405-609X.3308.
17. Sembiring I, Christianto PA, Sediyono E. Hybrid of smart system model to support the service of fertility doctors in handling in-vitro fertilization patient complaints. Mendel Journal 29 No. 2: 84–89, 2023. Doi: https://doi.org/10.13164/mendel.2023.2.084.
18. Paminto Agung Christianto, Eko Sediyono, Irwan Sembiring. Modification of the case-based reasoning similarity formula to enhance the performance of a smart system in handling the complaints of in-vitro fertilization program patients. Healthc Inform Res 28: 267–275, 2022. doi: https://doi.org/10.4258%2Fhir.2022.28.3.267.
19. Boeker M, Andel P, Vach W, Frankenschmidt A. Game-based e-learning is more effective than a conventional instructional method: A randomized controlled trial with third-year medical students. PLoS One 8, 2013. doi: 10.1371/journal.pone.0082328.
20 Kumar S, Bell MJ, Juusola JL. Mobile and traditional cognitive behavioral therapy programs for generalized anxiety disorder: A cost-effectiveness analysis. PLoS One 13, 2018. doi: 10.1371/journal.pone.0190554.
21. de la Puente Pacheco Mario Alberto, Rios Mahecha Juan Diego, Maury Campo Mauro, Torres Jose. Effectiveness of online and blended teaching methods in developing professional engineering cross-curricular skills: A study in the context of Latin America. Res Comp Int Educ 19: 197–223, 2024. doi: 10.1177/17454999241231089.
22. Sissine M, Segan R, Taylor M, Jefferson B, Borrelli A, Koehler M, Chelvayohan M. Cost Comparison Model: Blended eLearning versus traditional training of community health workers. Online J Public Health Inform 6, 2014. doi: 10.5210/ojphi.v6i3.5533.
23. Owusu JT, Wang P, Wickham RE, Smith SF, Lee JL, Chen C, Lungu A. Outcomes of a Live Messaging, Blended Care Coaching Program Among Adults With Symptoms of Anxiety: Pragmatic Retrospective Cohort Study. JMIR Form Res 7, 2023. Doi: 10.2196/44138.
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