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ELISABETH AMELIA SEPTIANA PUTRI

2 karya publik ditemukan.

2024: 2

Pola Penggunaan Obat Diabetes Melitus II di Rumah Sakit Bethesda Lempuyangwangi Yogyakarta Periode Juli - September 2023

2024 · Thesis · Skripsi, Thesis, Disertasi, dan Tugas Akhir

Diabetes mellitus is a long-term disease that requires long-term treatment. In 2019, Indonesia ranked 7th out of 10 in the number of people with diabetes mellitus with 10.7 million people. The prevalence of diabetes mellitus cases in Yogyakarta in 2018 ranked third at 3.1%. Bethesda Lempuyangwangi Hospital diabetes mellitus ranks second out of the top ten diseases with the most cases. This study aims to determine the Drug Use Pattern of Diabetes Mellitus II at Bethesda Lempuyangwangi Hospital Yogyakarta July-September 2023 Period. This study used a descriptive observational method with retrospective data collection using prescription data and medical records of patients diagnosed with diabetes mellitus II without or with comorbidities. By calculating the percentage of descriptive quantitative research data including the number of patient names in the form of initials, patient age, gender, drug name and drug strength, drug usage rules (signa), drug class, diagnosis, type of therapy and objective data.

Pola Penggunaan Obat Diabetes Melitus II di Rumah Sakit Bethesda Lempuyangwangi Yogyakarta Periode Juli - September 2023

2024 · Book · Koleksi Perpustakaan

Diabetes mellitus is a long-term disease that requires long-term treatment. In 2019, Indonesia ranked 7th out of 10 in the number of people with diabetes mellitus with 10.7 million people. The prevalence of diabetes mellitus cases in Yogyakarta in 2018 ranked third at 3.1%. Bethesda Lempuyangwangi Hospital diabetes mellitus ranks second out of the top ten diseases with the most cases. This study aims to determine the Drug Use Pattern of Diabetes Mellitus II at Bethesda Lempuyangwangi Hospital Yogyakarta July-September 2023 Period. This study used a descriptive observational method with retrospective data collection using prescription data and medical records of patients diagnosed with diabetes mellitus II without or with comorbidities. By calculating the percentage of descriptive quantitative research data including the number of patient names in the form of initials, patient age, gender, drug name and drug strength, drug usage rules (signa), drug class, diagnosis, type of therapy and objective data.