PREDICTORS OF HOSPITALIZATION AND MORTALITY IN DIABETES MELLITUS PATIENTS: ANALYSIS OF DATA SAMPLES OF BPJS KESEHATAN 2015-2016
Diabetes is a chronic disease caused by the body's inability to efficiently to manage insulin, which triggers an increasing of blood sugar. If the level of blood sugar increase for a long time, it can cause damage to vital organs and it will have the longterm and complex treatment needed. The...
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id-itb.:630592022-01-25T08:36:40ZPREDICTORS OF HOSPITALIZATION AND MORTALITY IN DIABETES MELLITUS PATIENTS: ANALYSIS OF DATA SAMPLES OF BPJS KESEHATAN 2015-2016 Dwiwira Husen, Nopika Indonesia Theses Diabetes, Hospitalization, Mortality, BPJS Health sample data INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/63059 Diabetes is a chronic disease caused by the body's inability to efficiently to manage insulin, which triggers an increasing of blood sugar. If the level of blood sugar increase for a long time, it can cause damage to vital organs and it will have the longterm and complex treatment needed. The cases and prevalence of this disease have continued to increase over the last few decades. Based on the International Diabetes Federation (IDF), 2019, Indonesia is the 7th country with the highest prevalence of diabetes in the world. This disease has a high frequency of hospitalization and mortality. The increase in the incidence of this disease also has an impact on increasing costs and health care. This study aims to determine the pattern of use of advanced health services and predictor factors related to the hospitalization and mortality of diabetic patients who access BPJS Health advanced health services for the 2015-2016 period. Predictors of hospitalization and patient mortality were analyzed using the Chi-square test which compared 6 variables (gender, age, participant segmentation, class of care, type of diabetes, and complications). The total sample data in this study is 424441 data by considering the weight of the participants. From the analysis, it was found that the pattern of using BPJS Health services in the dominant age category was the early elderly (46-55 years), the majority were female, the segmentation of participants, the most PPU, the most treatment class was class III, the most type of diabetes was type II and the condition of the participants was uncomplicated and peripheral circulation complications. Late elderly age group (56- 65 years), female gender, PBI APBD and PBI APBN segmentation of participants, class III, type 1 diabetes and complications of ketoacidosis have a high risk of hospitalization and are predictors of hospitalization of diabetic patients. Meanwhile, the highest risk of mortality and being a predictor of mortality is the early adult age group (26-35 years), female gender, segmentation of PBI APBD participants, class III, Type I diabetes, and complications of ketoacidosis. text |
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Diabetes is a chronic disease caused by the body's inability to efficiently to manage
insulin, which triggers an increasing of blood sugar. If the level of blood sugar
increase for a long time, it can cause damage to vital organs and it will have the longterm and complex treatment needed. The cases and prevalence of this disease have
continued to increase over the last few decades. Based on the International Diabetes
Federation (IDF), 2019, Indonesia is the 7th country with the highest prevalence of
diabetes in the world. This disease has a high frequency of hospitalization and
mortality. The increase in the incidence of this disease also has an impact on
increasing costs and health care. This study aims to determine the pattern of use of
advanced health services and predictor factors related to the hospitalization and
mortality of diabetic patients who access BPJS Health advanced health services for
the 2015-2016 period. Predictors of hospitalization and patient mortality were
analyzed using the Chi-square test which compared 6 variables (gender, age,
participant segmentation, class of care, type of diabetes, and complications). The total
sample data in this study is 424441 data by considering the weight of the participants.
From the analysis, it was found that the pattern of using BPJS Health services in the
dominant age category was the early elderly (46-55 years), the majority were female,
the segmentation of participants, the most PPU, the most treatment class was class
III, the most type of diabetes was type II and the condition of the participants was
uncomplicated and peripheral circulation complications. Late elderly age group (56-
65 years), female gender, PBI APBD and PBI APBN segmentation of participants,
class III, type 1 diabetes and complications of ketoacidosis have a high risk of
hospitalization and are predictors of hospitalization of diabetic patients. Meanwhile,
the highest risk of mortality and being a predictor of mortality is the early adult age
group (26-35 years), female gender, segmentation of PBI APBD participants, class
III, Type I diabetes, and complications of ketoacidosis.
|
format |
Theses |
author |
Dwiwira Husen, Nopika |
spellingShingle |
Dwiwira Husen, Nopika PREDICTORS OF HOSPITALIZATION AND MORTALITY IN DIABETES MELLITUS PATIENTS: ANALYSIS OF DATA SAMPLES OF BPJS KESEHATAN 2015-2016 |
author_facet |
Dwiwira Husen, Nopika |
author_sort |
Dwiwira Husen, Nopika |
title |
PREDICTORS OF HOSPITALIZATION AND MORTALITY IN DIABETES MELLITUS PATIENTS: ANALYSIS OF DATA SAMPLES OF BPJS KESEHATAN 2015-2016 |
title_short |
PREDICTORS OF HOSPITALIZATION AND MORTALITY IN DIABETES MELLITUS PATIENTS: ANALYSIS OF DATA SAMPLES OF BPJS KESEHATAN 2015-2016 |
title_full |
PREDICTORS OF HOSPITALIZATION AND MORTALITY IN DIABETES MELLITUS PATIENTS: ANALYSIS OF DATA SAMPLES OF BPJS KESEHATAN 2015-2016 |
title_fullStr |
PREDICTORS OF HOSPITALIZATION AND MORTALITY IN DIABETES MELLITUS PATIENTS: ANALYSIS OF DATA SAMPLES OF BPJS KESEHATAN 2015-2016 |
title_full_unstemmed |
PREDICTORS OF HOSPITALIZATION AND MORTALITY IN DIABETES MELLITUS PATIENTS: ANALYSIS OF DATA SAMPLES OF BPJS KESEHATAN 2015-2016 |
title_sort |
predictors of hospitalization and mortality in diabetes mellitus patients: analysis of data samples of bpjs kesehatan 2015-2016 |
url |
https://digilib.itb.ac.id/gdl/view/63059 |
_version_ |
1822932081683988480 |