UMSUMS

BiomedikaBiomedika

T2DM is a major problem in health services in Indonesia through the NHI system. The determination of back-referrals frequently presents a contentious issue between BPJS-FKTP and FKTL. The AisyCare-GulaMU application is an Android-based tool designed for the IT-based monitoring of blood glucose levels in T2DM patients who are PRB. The research was performed on a retrospective cohort of NHI patients diagnosed with T2DM in an outpatient setting during the initial six months of 2025 with pre and post analysis glucose profile. There are significant reduction in blood glucose serial monitoring 1st to 2nd month (p=0.002), 2nd to 3rd month (p=0.027) and hba1c after third month treatment (p=0.000). There also significant blood glucose(p=0.002) and hba1c (p=0.000) for group back referral and not to refer. The AisyCare-GulaMU application enables the assessment of patients blood sugar levels on a monthly basis, facilitating the determination of subsequent service directions. The AisyCare-GulaMU application allows for effective monitoring of T2DM patients treatment progress, enabling BRP to operate efficiently.

The AisyCare-GulaMu application facilitates effective monitoring of treatment outcomes for patients with Type 2 Diabetes Mellitus, resulting in clearer treatment targets as demonstrated by significant reductions in HbA1c levels.Although the application does not directly lower glycemic profiles, it provides an overview of treatment trends and indicates that referred patients have achieved therapeutic targets (blood glucose ≤180 mg/dl and HbA1c ≤ 6.5) at a rate of 50%, thereby enabling data to be supplied to BPJS and FKTP.The application aids in clinical data management, systematic patient monitoring, and care coordination within the Back Referral Program (PRB).

Penelitian lebih lanjut perlu dilakukan untuk mengeksplorasi efektivitas AisyCare-GulaMU dalam meningkatkan kepatuhan pasien terhadap pengobatan dan perubahan gaya hidup, dengan mempertimbangkan faktor-faktor sosioekonomi dan budaya yang mungkin memengaruhi hasil. Selain itu, studi komparatif yang melibatkan kelompok kontrol tanpa aplikasi dapat dilakukan untuk mengukur dampak AisyCare-GulaMU secara lebih akurat terhadap penurunan HbA1c dan peningkatan kualitas hidup pasien. Terakhir, pengembangan fitur personalisasi dalam aplikasi, seperti rekomendasi diet dan olahraga yang disesuaikan dengan kondisi individu, serta integrasi dengan perangkat wearable untuk pemantauan glukosa berkelanjutan, dapat menjadi arah penelitian yang menjanjikan untuk meningkatkan efisiensi dan efektivitas pengelolaan diabetes mellitus tipe 2 di Indonesia.

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