Impact of the COVID-19 pandemic on the outcomes of Indonesian chronic disease management program

Background: The Indonesian Government launched chronic disease management program (PROLANIS) with the aim of improving clinical outcomes and preventing disease complications of patients with type 2 diabetes (T2D). During the coronavirus disease 2019 (COVID-19) pandemic, the overwhelmed healthcare sy...

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Veröffentlicht in:Electronic journal of general medicine 2023-12, Vol.20 (6), p.em541
Hauptverfasser: Salamah, Sovia, Ramadhani, Ristra, Arfiana, Mega Rizkya, Syamsuri, Ibrahim, Nugraha, David, Illavi, Fauzan, Khafiyya, Asiyah Nida, Dewayani, Astri, Rokhman, M Rifqi, Alkaff, Firas Farisi
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Sprache:eng
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Zusammenfassung:Background: The Indonesian Government launched chronic disease management program (PROLANIS) with the aim of improving clinical outcomes and preventing disease complications of patients with type 2 diabetes (T2D). During the coronavirus disease 2019 (COVID-19) pandemic, the overwhelmed healthcare system shifted resources away from non-communicable diseases in the attempt to mitigate it. Thus, the implementation of PROLANIS during the COVID-19 pandemic might not be as optimal as before the pandemic era, leading to worse clinical outcomes. This pilot study aims to evaluate the impact of the COVID-19 pandemic on PROLANIS in rural areas by analyzing the changes of metabolic control and renal function parameters. Methods: This study used data from three PROLANIS groups report in rural areas in East Java Province, Indonesia. Study population was PROLANIS participants who came for six-month-evaluation in December 2019 (T0), June 2020 (T1), and December 2020 (T2). Evaluated metabolic control parameters were body mass index (BMI), blood pressure, hemoglobin A1C (HbA1C), total cholesterol (TC), high-density lipid, low-density lipid, and triglyceride (TG), whereas evaluated renal function parameters were blood urea nitrogen, serum creatinine, and urinary albumin. Independent t-test and Wilcoxon signed-rank test were used for statistical analyses. p-value
ISSN:2516-3507
2516-3507
DOI:10.29333/ejgm/13661