Gambaran Layanan Konsultasi Kesehatan Mental Aplikasi Riliv di Indonesia Pada Masa Endemi COVID-19 Overview of Riliv Mental Health Consultation Service in Indonesia During COVID-19 Endemic

https://doi.org/10.22146/jkki.88840

Riastuti Kusuma Wardani(1*), Balqis Dara Zaenab(2)

(1) FIKES UIN Jakarta
(2) FIKES UIN Jakarta
(*) Corresponding Author

Abstract


ABSTRAK

 

Layanan telepsikiatri mulai marak digunakan akibat dampak pandemi COVID-19 terhadap kesehatan mental masyarakat, namun masih terdapat keluhan oleh pengguna aplikasi layanan telepsikiatri seperti Riliv karena kesulitan dan ketidaksesuaian dalam penggunaan aplikasi. Riliv sebagai penyedia layanan telepsikiatri harus mempertahankan kemajuan serta meningkatkan dan mempertahankan standar perawatan. Melihat persepsi pengguna berdasarkan pengalaman mereka menggunakan layanan dapat membantu pemberi layanan dalam mengambil keputusan dan memberikan layanan yang tepat sesuai dengan kebutuhan pengguna. Penelitian ini bertujuan untuk mengetahui gambaran layanan konsultasi kesehatan mental aplikasi Riliv di Indonesia pada masa endemi COVID-19 menurut pengguna berdasarkan lima dimensi End User Computing Satisfaction (EUCS), yaitu isi, keakuratan, tampilan, kemudahan penggunaan, dan ketepatan waktu. Pendekatan yang diterapkan dalam penelitian ini adalah pendekatan kuantitatif dengan desain deskriptif. Data dikumpulkan secara daring pada Maret – Juni 2023 dengan teknik pengambilan sampel purposive sampling. Hasil penelitian menunjukkan bahwa sebanyak lebih dari setengah responden memiliki persepsi baik terhadap isi (56,8%), keakuratan (69,9%), tampilan (54,8%), dan kemudahan penggunaan (53,4%) serta lebih dari tiga perempat responden (87,7%) memiliki persepsi baik terhadap ketepatan waktu layanan konsultasi kesehatan mental di aplikasi Riliv. Pemberi layanan telepsikiatri di aplikasi Riliv disarankan untuk memastikan adanya pelatihan untuk meningkatkan self-efficacy dan kemampuan komunikasi digital bagi psikolog yang terdaftar di Riliv, melakukan optimalisasi sistem aplikasi Riliv, dan memastikan adanya pengembangan berkelanjutan pada aplikasi. Hal tersebut diharapkan dapat meningkatkan kualitas informasi yang diberikan kepada pengguna dan meningkat pemanfaatannya oleh masyarakat.

 

ABSTRACT

 

Telepsychiatry services have begun to be widely used due to the impact of the COVID-19 pandemic on people's mental health, but there are still complaints by telepsychiatry applications, such as Riliv, users due to the difficulties and inconsistency in using telepsychiatry applications. Riliv as a telepsychiatry service provider must maintain progress and also improve and maintain standards of care. Looking at user perceptions based on their experience using the service can help service providers make decisions and provide the right service according to user needs. This study aims to describe the Riliv application mental health consulting services in Indonesia during the COVID-19 endemic according to users based on the five dimensions of End User Computing Satisfaction (EUCS), namely content, accuracy, appearance, ease of use, and timeliness. The approach applied in this study is a quantitative approach with a descriptive design. Data was collected online from March to June 2023 using a purposive sampling technique. The results showed that more than half of the respondents had good perceptions of content (56.8%), accuracy (69.9%), format (54.8%), and ease of use (53.4%) and more than three a quarter of respondents (87.7%) had a good perception of the timeliness of mental health consultation services on the Riliv application. Riliv applications are advised to ensure that there is training to improve self-efficacy and digital communication skills for psychologists registered with Riliv, optimize the Riliv application system, and ensure continuous development of the application. This is expected to improve the quality of the information provided to users and increase its utilization by the public.


Keywords


Mental Health; Services; Telepsychiatry

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References

  1. WHO. COVID-19 pandemic triggers 25% increase in prevalence of anxiety and depression worldwide [Internet]. World Health Organization. 2022 [dikutip 3 Juli 2023]. Tersedia pada: https://www.who.int/news/item/02-03-2022-covid-19-pandemic-triggers-25-increase-in-prevalence-of-anxiety-and-depression-worldwide
  2. Al Dhaheri AS, Bataineh MF, Mohamad MN, Ajab A, Al Marzouqi A, Jarrar AH, et al. Impact of COVID-19 on mental health and quality of life: Is there any effect? A crosssectional study of the MENA region. PLoS One [Internet]. 2021;16(3 March):1–17. Tersedia pada: http://dx.doi.org/10.1371/journal.pone.0249107
  3. Tsheten T, Chateau D, Dorji N, Pokhrel HP, Clements ACA, Gray DJ, et al. Impact of COVID-19 on mental health in Bhutan: a way forward for action. Lancet Reg Heal - Southeast Asia [Internet]. 2023;11:100179. Tersedia pada: https://doi.org/10.1016/j.lansea.2023.100179
  4. Pappa S, Chen J, Barnett J, Chang A, Dong RK, Xu W, et al. A systematic review and meta-analysis of the mental health symptoms during the Covid-19 pandemic in Southeast Asia. Psychiatry Clin Neurosci. 2022;76(2):41–50.
  5. Adhanom Ghebreyesus T. Addressing mental health needs: an integral part of COVID-19 response. World Psychiatry. 2020.
  6. Moreno C, Wykes T, Galderisi S, Nordentoft M, Crossley N, Jones N, et al. How mental health care should change as a consequence of the COVID-19 pandemic. The Lancet Psychiatry. 2020;7(9):813–24.
  7. Rahman S. Commentary: Malaysia’s white flag movement a symbol of hope and helping each other [Internet]. Channel News Asia. 2021. Tersedia pada: https://www.channelnewsasia.com/commentary/commentary-malaysias-white-flag-movement-symbol-hope-and-helping-each-other-2030226
  8. Nortajuddin A. Suicide: Thailand’s Epidemic In A Pandemic. The Asean Post. 2021.
  9. Biro Komunikasi dan Pelayanan Masyarakat. Kemenkes Beberkan Masalah Permasalahan Kesehatan Jiwa di Indonesia [Internet]. Kementerian Kesehatan RI. 2021. Tersedia pada: https://sehatnegeriku.kemkes.go.id/baca/rilis-media/20211007/1338675/kemenkes-beberkan-masalah-permasalahan-kesehatan-jiwa-di-indonesia/
  10. Perhimpunan Dokter Spesialis Kedokteran Jiwa Indonesia. Masalah Psikologis 2 Tahun Pandemi COVID-19 di Indonesia (Swaperiksa PDSKJI Maret 2020 - Maret 2022) [Internet]. 2022. Tersedia pada: http://pdskji.org/home
  11. Soron TR, Shariful Islam SM, Ahmed HU, Ahmed SI. The hope and hype of telepsychiatry during the COVID-19 pandemic. The Lancet Psychiatry [Internet]. 2020;7(8):e50. Tersedia pada: http://dx.doi.org/10.1016/S2215-0366(20)30260-1
  12. CNN Indonesia. Jumlah Konsultasi Psikologi Telemedis Meningkat saat Pandemi [Internet]. CNN Indonesia. 2020. Tersedia pada: https://www.cnnindonesia.com/gaya-hidup/20201016145209-255-559263/jumlah-konsultasi-psikologi-telemedis-meningkat-saat-pandemi
  13. Suminar A. Tiga Startup Indonesia Tumbuh di Tengah Pandemi [Internet]. Suara Surabaya. 2020. Tersedia pada: https://www.suarasurabaya.net/ekonomibisnis/2020/tiga-startup-indonesia-tumbuh-di-tengah-pandemi/
  14. Sugandi AT. East Ventures Suntik Pendanaan Awal ke Startup Riliv [Internet]. Bisnis.com. 2022. Tersedia pada: https://teknologi.bisnis.com/read/20220120/266/1491475/east-ventures-suntik-pendanaan-awal-ke-startup-riliv
  15. Andi D. Pengguna layanan kesehatan mental Halodoc meningkat signifikan saat pandemi Covid-19 [Internet]. Kontan. 2021. Tersedia pada: https://kesehatan.kontan.co.id/news/pengguna-layanan-kesehatan-mental-halodoc-meningkat-signifikan-saat-pandemi-covid-19
  16. Narvaez RA. Benefits and challenges of telepsychiatry services in SouthEast Asian nations during the COVID-19 era: An integrative review. Asian J Psychiatr [Internet]. 2022;73(January):103114. Tersedia pada: https://doi.org/10.1016/j.ajp.2022.103114
  17. Putri CA, Yahya ES, Kania R, Kunci K. Sikap dan Niat Perilaku Generasi Milenial dalam Adopsi Platform Telemedicine untuk Layanan Konsultasi Kesehatan Mental. 2021;4–5.
  18. Allifiandi AR, Anggalih NN. Perancangan ilustrasi produk pada aplikasi riliv. J Barik. 2022;4(2):160–9.
  19. Momaya J, Muley K. Customer Feedback System & Businesses. Int J Sci Res Eng Manag [Internet]. 2022;6(7):5–8. Tersedia pada: https://ijsrem.com/download/customer-feedback-system-businesses/
  20. Zeel Shah, Shambhu Rai. A Research Paper on the Effects of Customer Feedback on Business. Int J Adv Res Sci Commun Technol. 2022;(July):672–5.
  21. Liu N, Zhang F, Wei C, Jia Y, Shang Z, Sun L, et al. Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter. Psychiatry Res [Internet]. 2020;287(March):112921. Tersedia pada: https://doi.org/10.1016/j.psychres.2020.112921
  22. Wang C, Riyu P, Xiaoyang W, Yilin T, Linkang X, Cyrus SH, et al. Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China. Int J Environ Res Public Health [Internet]. 2020;17(5):1–25. Tersedia pada: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084952/
  23. Amerio A, Bertuccio P, Santi F, Bianchi D, Brambilla A, Morganti A, et al. Gender Differences in COVID-19 Lockdown Impact on Mental Health of Undergraduate Students. Front Psychiatry. 2022;12(January):1–8.
  24. Rossi R, Socci V, Talevi D, Mensi S, Niolu C, Pacitti F, et al. COVID-19 Pandemic and Lockdown Measures Impact on Mental Health Among the General Population in Italy. Front Psychiatry. 2020;11(August):7–12.
  25. Staiger T, Stiawa M, Mueller-Stierlin AS, Kilian R, Beschoner P, Gündel H, et al. Masculinity and Help-Seeking Among Men With Depression: A Qualitative Study. Front Psychiatry. 2020;11(November):1–9.
  26. Chatmon BN. Males and Mental Health Stigma. Am J Mens Health. 2020;14(4).
  27. Sagar-Ouriaghli I, Godfrey E, Bridge L, Meade L, Brown JSL. Improving Mental Health Service Utilization Among Men: A Systematic Review and Synthesis of Behavior Change Techniques Within Interventions Targeting Help-Seeking. Am J Mens Health. 2019;13(3).
  28. Haimi M. The tragic paradoxical effect of telemedicine on healthcare disparities ‑ a time for redemption : a narrative review. BMC Med Inform Decis Mak [Internet]. 2023;4:1–10. Tersedia pada: https://doi.org/10.1186/s12911-023-02194-4
  29. Yu J, Bekerian DA. Telemental Health and Diverse Populations amid COVID-19. Encyclopedia [Internet]. 2023;3(1):267–78. Tersedia pada: https://www.mdpi.com/2673-8392/3/1/17
  30. Biro Komunikasi dan Pelayanan Masyarakat. Pandemi COVID-19 di Indonesia Membaik [Internet]. Kementerian Kesehatan RI. 2022 [dikutip 26 Juni 2023]. Tersedia pada: https://sehatnegeriku.kemkes.go.id/baca/rilis-media/20220412/4539638/pandemi-covid-19-di-indonesia-membaik/
  31. Aliman NK, Mohamad WN. Linking Service Quality, Patients’ Satisfaction and Behavioral Intentions: An Investigation on Private Healthcare in Malaysia. Procedia - Soc Behav Sci [Internet]. 2016;224(August 2015):141–8. Tersedia pada: http://dx.doi.org/10.1016/j.sbspro.2016.05.419
  32. Murhadi WR, Karsana W. Effect of Service Quality and Patient Satisfaction on Behavioral Intention. J Entrep Bus. 2021;2(1):25–36.
  33. Kitapci O, Akdogan C, Dortyol İT. The Impact of Service Quality Dimensions on Patient Satisfaction, Repurchase Intentions and Word-of-Mouth Communication in the Public Healthcare Industry. Procedia - Soc Behav Sci. 2014;148:161–9.
  34. Priescu I, Oncioiu I. Measuring the Impact of Virtual Communities on the Intention to Use Telemedicine Services. Healthc. 2022;10(9):1–16.
  35. Nuryanti Y, Hutagalung D, Nadeak M, Abadiyah S, Novitasari D. Understanding the Links between System Quality , Information Quality , Service Quality , and User Satisfaction in the Context of Online Learning. Int J Scoial Manag Stud [Internet]. 2021;02(04):54–64. Tersedia pada: https://www.ijosmas.org/index.php/ijosmas/article/view/51%0Ahttps://www.ijosmas.org
  36. Laumer S, Maier C, Weitzel T, Laumer S, Maier C. Information quality, user satisfaction, and the manifestation of workarounds: a qualitative and quantitative study of enterprise content management system users. Eur J Inf Syst. 2017;26(4):333–60.
  37. Jiang G, Liu F, Liu W, Liu S, Chen Y, Xu D. Effects of information quality on information adoption on social media review platforms: moderating role of perceived risk. Data Sci Manag [Internet]. 2021;1(1):13–22. Tersedia pada: https://doi.org/10.1016/j.dsm.2021.02.004
  38. Watson JD, Pierce BS, Tyler CM, Donovan EK, Merced K, Mallon M, et al. Barriers and Facilitators to Psychologists’ Telepsychology Uptake during the Beginning of the COVID-19 Pandemic. Int J Environ Res Public Health. 2023;20(8).
  39. Wilczewski H, Paige SR, Ong T, Barrera JF, Soni H, Welch BM, et al. Perceptions of Telemental Health Care Delivery During COVID-19: A Cross-Sectional Study With Providers, February-March 2021. Front Psychiatry. 2022;13(April):1–9.
  40. Justitia A, Semiati R, Ayuvinda NR. Customer Satisfaction Analysis of Online Taxi Mobile Apps. J Inf Syst Eng Bus Intell. 2019;5(1):85.
  41. Hoxmeier JA, DiCesare C. Association for Information Systems AIS Electronic Library (AISeL) System Response Time and User Satisfaction: An Experimental Study of Browser-based Applications Recommended Citation "System Response Time and User Satisfaction: An Experimental Study of B. AMCIS 2000 Proc [Internet]. 2000;347:2000. Tersedia pada: http://aisel.aisnet.org/amcis2000http://aisel.aisnet.org/amcis2000/347
  42. Smith AC, Ralph BCW, Marty-Dugas J, Smilek D. Loading. . . Loading. . . The influence of download time on information search. PLoS One [Internet]. 2019;14(12):1–24. Tersedia pada: http://dx.doi.org/10.1371/journal.pone.0226112
  43. Prakash B. Patient Satisfaction. J Cutan Aesthet Surg [Internet]. 2010;3(3):151–155. Tersedia pada: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3047732/
  44. Thinnukool O, Khuwuthyakorn P, Wientong P, Panityakul T. Non-Prescription Medicine Mobile Healthcare Application : Smartphone-Based Software Design and Development Review. Int J Interact Mob Technol. 2017;11(5):130–46.
  45. Silalahi R., Hartono N, Tumpak M. Profile and preferences users of doctors consultation application in Indonesia Profile and preferences users of doctors consultation application in Indonesia. IOP Conf Ser Earth Environ Sci. 2018;195(1).
  46. Wardana ENS, Sihite J. The Influence Of Ease Of Use, Usefulness, Privacy Risk, and Government Support Towards Young Adult’s Usage Intention On mHealth During Covid-19 In Jakarta (Case Study On Halodoc). Int Humanit Appl Sci J. 2021;4(2):64–74.
  47. Amalia AGR, Fahrudi ANLI. The Relationship Between Perceived Ease of Use , Perceived Usefulness and Perceived Loss of Control with User Satisfaction in Mandatory Setting. Adv Econ Bus Manag Res. 2021;191(AICoBPA 2020):171–3.
  48. Alfiansyah G, Fajeri AS, Santi MW, Swari SJ. Evaluasi Kepuasan Pengguna Electronic Health Record (EHR) Menggunakan Metode EUCS (End User Computing Satisfaction) di Unit Rekam Medis Pusat RSUPN Dr. Cipto Mangunkusumo. J Penelit Kesehat “SUARA FORIKES” (Journal Heal Res “Forikes Voice”). 2020;11(3):258.
  49. Qurratu Aini N. Analisis Kepuasan Pengguna Layanan Aplikasi Telemedicine di DKI Jakarta Pada Masa Pandemi Covid-19. Andalas; 2022.
  50. Wulandari A, Febrianti F. Covid - 19 Self - Isolation Telemedicine Service User Satisfaction in Indonesia. Al-Sihah Public Heal Sci J. 2022;14(1):142–52.
  51. Christian M, Indriyarti ER, Sunarno S, Wibowo S. Determinants of Satisfaction Using Healthcare Application : A Study on Young Halodoc Users in Jakarta During the COVID-19 Pandemic. Appl Quant Anal. 2022;2(1):36–48.
  52. Tiara K, Antonio F. The Influence Of Telemedicine Usability On Patient Loyalty Mediated By Patients ’ Trust And Satisfaction : A Study At Hospitals Of State-Owned Enterprises In Indonesia. J Pendidik Tambusai. 2022;6(1):2326–41.
  53. Zhou M, Zhao L, Kong N, Campy KS, Qu S, Wang S. Factors influencing behavior intentions to telehealth by Chinese elderly : An extended TAM model. Int J Med Inform [Internet]. 2019;126(2):118–27. Tersedia pada: https://doi.org/10.1016/j.ijmedinf.2019.04.001
  54. Hanesya AF, Novi Marchianti AC, Bukhori S. Evaluation of the Hospital Information System (HIS ) using EUCS and PIECES Methods on the Medical Record Section of RSUD dr. Haryoto Lumajang. Ijconsist Journals. 2021;3(1):13–20.
  55. Azzahrah F, Adian YAP, Budiarto W. Analisis Kepuasan Pengguna Mobile E-Health berdasarkan Metode End User Computing Satisfaction (Studi di 5 Puskesmas di Kota Surabaya). J Kesehat. 2020;11(3):395.
  56. Syam AR, Arifin S. Quality of Educational Services in Islam Perspective. Work Environ Sci Soc Technol. 2019;
  57. Bleustein C, Rothschild DB, Valen A, Valaitis E, Schweitzer L, Jones R. Wait times, patient satisfaction



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