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ASSESSMENT OF MOBILE HEALTH APPLICATIONS SUPPORTING REFERRAL SERVICES BASED ON COVID-19 SYMPTOMS IN INDONESIA USING MOBILE APP RATING SCALE (MARS)

PADMANABA A, Anis Fuad, S.Ked., DEA; Ariani Arista Putri Pertiwi, S.Kep., Ns., MAN., DNP

2022 | Skripsi | S1 KEDOKTERAN

Latar Belakang: Penyebaran COVID-19 dapat dicegah dengan pembatasan sosial tetapi dapat mengurangi akses ke layanan kesehatan. Penggunaan aplikasi kesehatan seluler dapat mengatasi hambatan ini dan pada akhirnya akan meningkatkan kesehatan. Kementerian Kesehatan dan beberapa penyelenggara telemedicine menandatangani MoU untuk mendukung pelayanan kesehatan melalui telemedicine. Diperlukan kebijakan atau ketentuan untuk mengawasi kualitas aplikasi kesehatan seluler untuk menurunkan angka morbiditas dan mortalitas akibat COVID-19 karena saat ini belum ada ketentuan yang tersedia di Indonesia. Tujuan: Mengevaluasi kualitas dan menganalisis layanan rujukan aplikasi kesehatan pada Android yang menyediakan layanan rujukan berdasarkan gejala COVID-19 di Indonesia. Studi ini juga menilai korelasi antara nilai komponen MARS dengan nilai, pengunduh, dan ulasan dari setiap aplikasi. Metode: Aplikasi yang digunakan dalam studi ini berasal dari kategori Medis di Google Play Store. Kedua penulis secara independen menilai kualitas aplikasi menggunakan instrumen MARS. Reliabilitas antar kedua penulis dihitung, dan korelasi antara skor komponen MARS dan nilai, pengunduh, dan ulasan aplikasi dianalisis. Layanan rujukan dari setiap aplikasi dievaluasi menggunakan empat kasus simulasi terstandardisasi yang dibedakan berdasarkan tingkat keparahan gejala COVID-19 dan status vaksinasi. Hasil: Pencarian utama pada bulan Oktober 2021 dilakukan pada aplikasi gratis terbaik di kategori Medis Google Play Store menghasilkan 200 aplikasi, dan tujuh aplikasi yang terinklusi diunduh dan dinilai. Aplikasi HaloDoc meraih nilai rata-rata MARS tertinggi (4,27), disusul oleh SehatQ (4,04), Good Doctor (4,01), MySiloam (4,00), AloDokter (3,81), KlikDokter (3,80), dan Pikobar (2,81). Tingkat reliabilitas antar kedua penulis sangat baik. Nilai, pengunduh, dan ulasan aplikasi berkorelasi positif dengan jumlah informasi yang disediakan oleh aplikasi. Tidak ada aplikasi yang merujuk pengguna langsung ke rumah sakit, padahal aplikasi ini memiliki banyak fitur yang mendukung proses rujukan ke rumah sakit. Kesimpulan: Hasil dari studi ini mengungkapkan bahwa aplikasi yang mendukung layanan rujukan berdasarkan gejala COVID-19 di Indonesia memiliki kualitas sedang hingga sangat baik. Terdapat hubungan yang signifikan antara nilai, pengunduh, dan ulasan aplikasi dengan kuantitas informasi. Proses rujukan yang dilakukan oleh masing-masing aplikasi belum optimal. Kata kunci: COVID-19, Telemedicine, Aplikasi kesehatan seluler, Layanan rujukan, Mobile App Rating Scale (MARS).

Background: The spread of the COVID-19 pandemic can be prevented by social distancing but may reduce access to health care. The use of mobile health applications can overcome these barrier and, in turn, will improve health outcomes. The Ministry of Health and several telemedicine providers signed an MoU to support health services through telemedicine. A policy or provision is needed to control mobile health applications' quality to reduce mortality and morbidity from COVID-19 since there are no provisions currently available in Indonesia. Objective: To assess the quality and analyze the referral services of Android mobile health applications that support referral services in Indonesia based on COVID-19 symptoms. It also assesses the correlation between the MARS components scores and the rating, downloader, and review of each application. Methods: The applications used in this study were chosen from the Medical category in the Google Play Store. The two authors independently assessed the applications' quality using the MARS tool. Inter-rater reliabilities were calculated, and correlations between the MARS components scores and the rating, downloader, and review of application were explored. The application's referral services were evaluated using four standardized cases distinguished by the severity of the symptoms of COVID-19 and vaccination status. Results: A primary search on the Google Play Store's Top Free Medical category yielded 200 results in October 2021, and seven applications included were downloaded and assessed. The HaloDoc application received the highest overall MARS average score (4.27), followed by SehatQ (4.04), Good Doctor (4.01), MySiloam (4.00), AloDokter (3.81), KlikDokter (3.80), and Pikobar (2.81). There was an excellent level of inter-rater reliability between the two authors. The application's rating, downloader, and review were positively correlated with the quantity of information provided by the application. There are no applications that refer users directly to the hospital, even though these applications have many features that support the referral process to the hospital. Conclusions: Findings revealed that applications that support referral services based on COVID-19 symptoms in Indonesia have moderate to excellent quality. There was a significant correlation between the application's rating, downloader, and review with the quantity of information. The referral process conducted by each application was not optimal. Keywords: COVID-19, Telemedicine, Mobile health application, Referral services, Mobile App Rating Scale (MARS).

Kata Kunci : COVID-19, Telemedicine, Mobile health application, Referral services, Mobile App Rating Scale (MARS).