Determinants of People’s Preference in Choosing Mental Health Service Channel in Indonesia Using Logistic Regression Model

Nathania, Gita Sheila (2021) Determinants of People’s Preference in Choosing Mental Health Service Channel in Indonesia Using Logistic Regression Model. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Masalah kesehatan mental di masyarakat diprediksi menyumbang sebanyak 13% beban global dan menjadi penyebab kematian terbesar pada tahun 2030. Di Indonesia, ditemukan bahwa hanya 42% dari masyarakat yang memiliki masalah kesehatan mental mencari bantuan ke psikolog. Di era industri 4.0, telemedicine merupakan salah satu teknologi yang diterapkan untuk membantu masyarakat mendapatkan pelayanan kesehatan jiwa dengan mudah. Dengan teknologi tersebut, masyarakat bisa mendapatkan layanan kesehatan jiwa melalui beberapa channel yaitu secara offline, online, atau kombinasi antara online dan offline. Walaupun demikian, masih terdapat beberapa kendala terkait aspek teknologi, sosial, keuangan, dan perilaku masyarakat yang menentukan channel yang dipilih untuk mendapatkan layanan kesehatan mental. Penelitian ini dilakukan untuk mengetahui variabel-variabel yang mempengaruhi preferensi masyarakat untuk memilih channel dan memprediksi preferensi tipe channel yang dipilih masyarakat. Hal ini dapat digunakan sebagai rekomendasi bagi penyedia layanan kesehatan mental untuk meningkatkan kualitas layanan dan menyesuaikannya dengan karakteristik pengguna. Dengan menggunakan model logit didapatkan 8 variabel yang signifikan, antara lain umur, durasi mengalami gejala, penyebaran informasi, fleksibilitas waktu, anggaran kesehatan, penggunaan internet, keamanan data, dan jenis kompensasi kesehatan. Model ini menunjukkan bahwa kelompok orang yang lebih muda lebih cenderung menggunakan channel online daripada kelompok yang lebih tua. Selain itu, orang yang kurang peduli dengan kebocoran data juga ditemukan lebih cenderung menggunakan channel online daripada orang yang sangat khawatir. Lalu, orang yang mencari pertolongan sebelum mengalami gejala selama 6 bulan lebih memilih menggunakan saluran online atau kombinasi. Tidak hanya itu, masyarakat yang biasanya mendapatkan informasi terkait pelayanan kesehatan jiwa juga lebih memilih saluran online dan kombinasi. =================================================================================================== Mental health problem is projected to account for 13% of global burden and lead as biggest cause of mortality by 2030. In Indonesia, it was found that only 42% of people having mental issue are seeking help. In the era of industrial 4.0, telemedicine is one of the technologies that has been implemented to help people getting mental health service easily. People could get mental health service through offline, online, or combination of both channels. Nevertheless, there are still some barriers for getting service through these channels, which related to technological, social, financial, and behaviour aspects. This research is conducted to know the variables which affect people’s preference to choose a channel and predicting the preference of channel, which can be used as the recommendation for mental health providers to improve their service. Using logit model, there are 8 significant variables, including age, symptoms duration, information sharing, time flexibility, budget, data usage, privacy concern, and health compensation. This model shows that younger groups of people are more likely to use online than older group. Besides, people who are less concerned with data leaking also found to be more likely using online channel over offline channel than people who are very worried. Furthermore, people who seek help before experiencing symptoms for 6 months prefer using online or combination channel. At last, people who usually get information related to mental health service also found to choose online and combination channel over offline channel.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Channel Preferences, Logistic Regression, Logit Model, Mental Health Service, Telemedicine, Preferensi Saluran, Logistik Regresi, Model Logit, Layanan Kesehatan Jiwa, Pengobatan Jarak Jauh
Subjects: H Social Sciences > HA Statistics > HA29 Theory and method of social science statistics
H Social Sciences > HF Commerce > HF5415.32 Consumers' preferences
Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression
R Medicine > RA Public aspects of medicine
R Medicine > RA Public aspects of medicine > RA971 Health services administration.
Divisions: Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: Gita Sheila Nathania
Date Deposited: 08 Aug 2021 07:53
Last Modified: 08 Aug 2021 07:53
URI: https://repository.its.ac.id/id/eprint/85121

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