Pattern analysis of diabetes mellitus using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah Alor Setar, Kedah / Nurhana Athirah Ahmad Helmi

Diabetes is a group of metabolic diseases that caused by defects in insulin secretion, insulin action or both. Geographical information systems (GIS) tools can help improve our understanding of the disparities in health outcomes in society. The aim of this research is to analyse the spatial pattern...

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Main Author:	Ahmad Helmi, Nurhana Athirah
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Geographic information systems Diabetes Mellitus
Online Access:	https://ir.uitm.edu.my/id/eprint/36826/1/36826.pdf
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id	my-uitm-ir.36826
record_format	uketd_dc
spelling	my-uitm-ir.368262020-11-16T06:29:26Z Pattern analysis of diabetes mellitus using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah Alor Setar, Kedah / Nurhana Athirah Ahmad Helmi 2020-11-13 Ahmad Helmi, Nurhana Athirah Geographic information systems Diabetes Mellitus Diabetes is a group of metabolic diseases that caused by defects in insulin secretion, insulin action or both. Geographical information systems (GIS) tools can help improve our understanding of the disparities in health outcomes in society. The aim of this research is to analyse the spatial pattern of diabetes cases in Kedah relation to age, gender and race among patients of Hospital Sultanah Bahiyah from year 2014 to 2018 using Geographical Information Systems (GIS). The objective of this project to investigate the trend of diabetes cases using descriptive analysis and to analyses the pattern of diabetes cases using spatial statistics. The registration data obtained from Hospital Sultanah Bahiyah, Alor Setar’s medical records to identify patients with diabetes mellitus based on socio-demographic age, race and gender. This information will be converted into a database file for use in GIS software. Then, it can identify the pattern of diabetes mellitus cases either it cluster, disperse or uniform and hotspot area with a high number of cases of diabetes mellitus. Based on this study, female has the highest number of patients in year 2016 compared to other year which is 63 (17.74%). Patients with the age between 40 to 60 years old shows the highest number of patients that was diagnosed with diabetes mellitus and Malay have the highest number of patients that have diabetes mellitus in year 2014 until 2018 followed by Chinese and Indian. Spatial autocorrelation (Moran’s I) showed clustering significant with p<0.05, Z score 3.488 and Moran’s Index of 0.013. Hot spot areas fell on the Alor Star. This study provides examples of the use of useful GIS analysis for large data sets available in electronic medical records. 2020-11 Thesis https://ir.uitm.edu.my/id/eprint/36826/ https://ir.uitm.edu.my/id/eprint/36826/1/36826.pdf text en public degree Universiti Teknologi Mara Perlis Faculty Of Applied Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Geographic information systems Diabetes Mellitus
spellingShingle	Geographic information systems Diabetes Mellitus Ahmad Helmi, Nurhana Athirah Pattern analysis of diabetes mellitus using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah Alor Setar, Kedah / Nurhana Athirah Ahmad Helmi
description	Diabetes is a group of metabolic diseases that caused by defects in insulin secretion, insulin action or both. Geographical information systems (GIS) tools can help improve our understanding of the disparities in health outcomes in society. The aim of this research is to analyse the spatial pattern of diabetes cases in Kedah relation to age, gender and race among patients of Hospital Sultanah Bahiyah from year 2014 to 2018 using Geographical Information Systems (GIS). The objective of this project to investigate the trend of diabetes cases using descriptive analysis and to analyses the pattern of diabetes cases using spatial statistics. The registration data obtained from Hospital Sultanah Bahiyah, Alor Setar’s medical records to identify patients with diabetes mellitus based on socio-demographic age, race and gender. This information will be converted into a database file for use in GIS software. Then, it can identify the pattern of diabetes mellitus cases either it cluster, disperse or uniform and hotspot area with a high number of cases of diabetes mellitus. Based on this study, female has the highest number of patients in year 2016 compared to other year which is 63 (17.74%). Patients with the age between 40 to 60 years old shows the highest number of patients that was diagnosed with diabetes mellitus and Malay have the highest number of patients that have diabetes mellitus in year 2014 until 2018 followed by Chinese and Indian. Spatial autocorrelation (Moran’s I) showed clustering significant with p<0.05, Z score 3.488 and Moran’s Index of 0.013. Hot spot areas fell on the Alor Star. This study provides examples of the use of useful GIS analysis for large data sets available in electronic medical records.
format	Thesis
qualification_level	Bachelor degree
author	Ahmad Helmi, Nurhana Athirah
author_facet	Ahmad Helmi, Nurhana Athirah
author_sort	Ahmad Helmi, Nurhana Athirah
title	Pattern analysis of diabetes mellitus using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah Alor Setar, Kedah / Nurhana Athirah Ahmad Helmi
title_short	Pattern analysis of diabetes mellitus using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah Alor Setar, Kedah / Nurhana Athirah Ahmad Helmi
title_full	Pattern analysis of diabetes mellitus using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah Alor Setar, Kedah / Nurhana Athirah Ahmad Helmi
title_fullStr	Pattern analysis of diabetes mellitus using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah Alor Setar, Kedah / Nurhana Athirah Ahmad Helmi
title_full_unstemmed	Pattern analysis of diabetes mellitus using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah Alor Setar, Kedah / Nurhana Athirah Ahmad Helmi
title_sort	pattern analysis of diabetes mellitus using geographic information system [gis] : a case study of hospital sultanah bahiyah alor setar, kedah / nurhana athirah ahmad helmi
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty Of Applied Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/36826/1/36826.pdf
_version_	1783734366419025920

Pattern analysis of diabetes mellitus using geographic information system [GIS] : a case study of Hospital Sultanah Bahiyah Alor Setar, Kedah / Nurhana Athirah Ahmad Helmi

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