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...
Gespeichert in:
Veröffentlicht in: | Electronic journal of general medicine 2023-12, Vol.20 (6), p.em541 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
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 |