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Fulltext How Socio-economic Inequalities Cluster People with Diabetes in Malaysia: Geographic Evaluation of Area Disparities Using a Non-parameterized Unsupervised Learning Method

Ganasegeran K, Abdul Manaf MR, Safian N, Waller LA, Mustapha FI, Abdul Maulud KN, et al.

J Epidemiol Glob Health, 2024 Mar;14(1):169-183.
PMID: 38315406 DOI: 10.1007/s44197-023-00185-2

Accurate assessments of epidemiological associations between health outcomes and routinely observed proximal and distal determinants of health are fundamental for the execution of effective public health interventions and policies. Methods to couple big public health data with modern statistical techniques offer greater granularity for describing and understanding data quality, disease distributions, and potential predictive connections between population-level indicators with areal-based health outcomes. This study applied clustering techniques to explore patterns of diabetes burden correlated with local socio-economic inequalities in Malaysia, with a goal of better understanding the factors influencing the collation of these clusters. Through multi-modal secondary data sources, district-wise diabetes crude rates from 271,553 individuals with diabetes sampled from 914 primary care clinics throughout Malaysia were computed. Unsupervised machine learning methods using hierarchical clustering to a set of 144 administrative districts was applied. Differences in characteristics of the areas were evaluated using multivariate non-parametric test statistics. Five statistically significant clusters were identified, each reflecting different levels of diabetes burden at the local level, each with contrasting patterns observed under the influence of population-level characteristics. The hierarchical clustering analysis that grouped local diabetes areas with varying socio-economic, demographic, and geographic characteristics offer opportunities to local public health to implement targeted interventions in an attempt to control the local diabetes burden.
Fulltext Determinants of uncontrolled hypertension in adult type 2 diabetes mellitus: an analysis of the Malaysian diabetes registry 2009

Chew BH, Mastura I, Shariff-Ghazali S, Lee PY, Cheong AT, Ahmad Z, et al.

Cardiovasc Diabetol, 2012;11:54.
PMID: 22607105 DOI: 10.1186/1475-2840-11-54

BACKGROUND: Uncontrolled blood pressure (BP) is a significant contributor of morbidity and even mortality in type 2 diabetes (T2D) patients. This study was done to determine the significant determinants of uncontrolled blood pressure in T2D patients in Malaysia.
METHODS: Between 1st January 2009 to 31st December 2009, data from 70 889 patients with Type 2 diabetes was obtained from the Adult Diabetes Control and Management Registry for analysis; 303 centers participated in the study. Their demographic characteristics, the nature of their diabetes, their state of hypertension, treatment modalities, risk factors, and complications are described. Based on their most recent BP values, subjects were divided into controlled BP and uncontrolled BP and their clinical determinants compared. Independent determinants were identified using multivariate logistic regression.
RESULTS: The mean age of patients at diagnosis of diabetes was 52.3 +/- 11.1 years old. Most were women (59.0 %) and of Malay ethnicity (61.9 %). The mean duration of diabetes was 5.9 +/- 5.6 years. A total of 57.4 % were hypertensive. Of the 56 503 blood pressure (BP) measured, 13 280 (23.5 %) patients had BP <130/80 mmHg. Eighteen percent was on > two anti-hypertensive agents. Health clinics without doctor, older age (>/= 50 years old), shorter duration of diabetes (< 5 years), Malay, overweight were determinants for uncontrolled blood pressure (BP >/=130/80 mmHg). Patients who were on anti-hypertensive agent/s were 2.7 times more likely to have BP >/=130/80 mmHg. Type 2 diabetes patients who had ischaemic heart disease or nephropathy were about 20 % and 15 % more likely to have their blood pressure treated to target respectively.
CONCLUSIONS: Major independent determinants of uncontrolled BP in our group of T2D patients were Malay ethnicity, older age, recent diagnosis of diabetes, overweight and follow-up at health clinics without a doctor and possibly the improper use of anti hypertensive agent. More effort, education and resources, especially in the primary health care centres are needed to improve hypertensive care among our patients with diabetes.
Fulltext Association of metabolic syndrome with risk of cardiovascular disease mortality and all-cause mortality among Malaysian adults: a retrospective cohort study

Chee Cheong K, Lim KH, Ghazali SM, Teh CH, Cheah YK, Baharudin A, et al.

BMJ Open, 2021 08 18;11(8):e047849.
PMID: 34408040 DOI: 10.1136/bmjopen-2020-047849

OBJECTIVES: This study is aimed at determining the association between metabolic syndrome and risk of cardiovascular disease (CVD) mortality and all-cause mortality among Malaysian adults.
DESIGN: Retrospective cohort study.
SETTING: The Malaysian Non-Communicable Disease Surveillance (MyNCDS-1) 2005/2006.
PARTICIPANTS: A total of 2525 adults (1013 men and 1512 women), aged 24-64 years, who participated in the MyNCDS-1 2005/2006.
METHODS: Participants' anthropometric indices, blood pressure, fasting lipid profile and fasting blood glucose levels were evaluated to determine the prevalence of metabolic syndrome by the Harmonized criteria. Participants' mortality status were followed up for 13 years from 2006 to 2018. Mortality data were obtained via record linkage with the Malaysian National Registration Department. The Cox proportional hazards regression model was applied to determine association between metabolic syndrome (MetS) and risk of CVD mortality and all-cause mortality with adjustment for selected sociodemographic and lifestyle behavioural factors.
RESULTS: The overall point prevalence of MetS was 30.6% (95% CI: 28.0 to 33.3). Total follow-up time was 31 668 person-years with 213 deaths (111 (11.3%) in MetS subjects and 102 (6.1%) in non-MetS subjects) from all-causes, and 50 deaths (33 (2.9%) in MetS group and 17 (1.2%) in non-MetS group) from CVD. Metabolic syndrome was associated with a significantly increased hazard of CVD mortality (adjusted HR: 2.18 (95% CI: 1.03 to 4.61), p=0.041) and all-cause mortality (adjusted HR: 1.47 (95% CI: 1.00 to 2.14), p=0.048). These associations remained significant after excluding mortalities in the first 2 years.
CONCLUSIONS: Our study shows that individuals with MetS have a higher hazard of death from all-causes and CVD compared with those without MetS. It is thus imperative to prescribe individuals with MetS, a lifestyle intervention along with pharmacological intervention to improve the individual components of MetS and reduce this risk.
Fulltext Management of prediabetes in Malaysian population: An experts' opinion

Mafauzy M, Khoo EM, Hussein Z, Yusoff Azmi NS, Siah GJ, Mustapha FI, et al.

Med J Malaysia, 2020 07;75(4):419-427.
PMID: 32724007

INTRODUCTION: Prediabetes, typically defined as blood glucose levels above normal but below diabetes thresholds, denotes a risk state that confers a high chance of developing diabetes. Asians, particularly the Southeast Asian population, may have a higher genetic predisposition to diabetes and increased exposure to environmental and social risk factors. Malaysia alone was home to 3.4 million people with diabetes in 2017; the figure is estimated to reach 6.1 million by 2045. Developing strategies for early interventions to treat prediabetes and preventing the development of overt diabetes and subsequent cardiovascular and microvascular complications are therefore important.

METHODS: An expert panel comprising regional experts was convened in Kuala Lumpur, for a one-day meeting, to develop a document on prediabetes management in Malaysia. The expert panel comprised renowned subject-matter experts and specialists in diabetes and endocrinology, primary-care physicians, as well as academicians with relevant expertise.

RESULTS: Fifteen key clinical statements were proposed. The expert panel reached agreements on several important issues related to the management of prediabetes providing recommendations on the screening, diagnosis, lifestyle and pharmacological management of prediabetes. The expert panel also proposed changes in forthcoming clinical practice guidelines and suggested that the government should advocate early screening, detection, and intensive management of prediabetes.

CONCLUSION: This document provides a comprehensive approach to the management of prediabetes in Malaysia in their daily activities and offer help in improving government policies and the decision-making process.
Fulltext Proposal for development of a guideline in maintaining quality cancer care during and post-covid-19 in an upper middle-income country with universal health coverage

Teoh SP, Bustamam RS, Mustapha FI, Yip CH, Saad M, Somasundaram S, et al.

J Cancer Policy, 2021 Dec;30:100300.
PMID: 35559796 DOI: 10.1016/j.jcpo.2021.100300

BACKGROUND: During periods of high community transmission of COVID-19, the public hospitals in Malaysia, an upper middle-income country, have been forced to scale down elective surgeries, prioritize cancer treatments based on treatment benefits, and postpone non-emergency imaging procedures. These inevitably led to disruptions in cancer care delivery within the public health care system. This study aims to explore the facilitators and barriers faced by healthcare providers and cancer survivors in cancer care, and to co-design a guideline to maintain the delivery of cancer care amid the disaster situations.
METHOD: In-depth interviews (IDIs) will be conducted with Malaysian healthcare providers and cancer survivors and findings will be analysed thematically. The insights will be used in a subsequent phase to co-design a guideline to maintain the delivery of quality cancer care in Malaysia via a three-round modified Delphi survey with a broad range of cancer stakeholders.
EXPECTED RESULTS: Findings derived from IDIs and existing literature will be included for rating across three rounds by the expert panel. Feedback provided will be refined until consensus on the best practises for cancer care continuity during crises is achieved.
CONCLUSION: The output of the present study is not only expected to ensure the continuity of delivery of high-quality cancer care in Malaysia during the ongoing pandemic but also to be adapted during unforeseen crises in the near future.
POLICY SUMMARY STATEMENT: Collaborative work between policy makers, public health physicians, members of the multidisciplinary oncology team as well as cancer survivors is vital in developing an evidenced- based contingency plan for maintaining access to cancer care.
Fulltext Identifying the necessary capacities for the adaptation of a diabetes phenotyping algorithm in countries of differing economic development status

Jackson-Morris A, Sembajwe R, Mustapha FI, Chandran A, Niyonsenga SP, Gishoma C, et al.

Glob Health Action, 2023 Dec 31;16(1):2157542.
PMID: 36692486 DOI: 10.1080/16549716.2022.2157542

BACKGROUND: In 2019, the World Health Organization recognised diabetes as a clinically and pathophysiologically heterogeneous set of related diseases. Little is currently known about the diabetes phenotypes in the population of low- and middle-income countries (LMICs), yet identifying their different risks and aetiology has great potential to guide the development of more effective, tailored prevention and treatment.
OBJECTIVES: This study reviewed the scope of diabetes datasets, health information ecosystems, and human resource capacity in four countries to assess whether a diabetes phenotyping algorithm (developed under a companion study) could be successfully applied.
METHODS: The capacity assessment was undertaken with four countries: Trinidad, Malaysia, Kenya, and Rwanda. Diabetes programme staff completed a checklist of available diabetes data variables and then participated in semi-structured interviews about Health Information System (HIS) ecosystem conditions, diabetes programme context, and human resource needs. Descriptive analysis was undertaken.
RESULTS: Only Malaysia collected the full set of the required diabetes data for the diabetes algorithm, although all countries did collect the required diabetes complication data. An HIS ecosystem existed in all settings, with variations in data hosting and sharing. All countries had access to HIS or ICT support, and epidemiologists or biostatisticians to support dataset preparation and algorithm application.
CONCLUSIONS: Malaysia was found to be most ready to apply the phenotyping algorithm. A fundamental impediment in the other settings was the absence of several core diabetes data variables. Additionally, if countries digitise diabetes data collection and centralise diabetes data hosting, this will simplify dataset preparation for algorithm application. These issues reflect common LMIC health systems' weaknesses in relation to diabetes care, and specifically highlight the importance of investment in improving diabetes data, which can guide population-tailored prevention and management approaches.