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  1. Mahmood MI, Daud F, Ismail A
    Public Health, 2016 Jun;135:56-65.
    PMID: 26976488 DOI: 10.1016/j.puhe.2015.07.043
    OBJECTIVES: To determine the prevalence of glycaemic control and factors associated with poor glycaemic control [glycosylated haemoglobin (HbA1c) ≥6.5%] among patients with type 2 diabetes treated in public health clinics in Johor, Malaysia.

    STUDY DESIGN: Cross-sectional study.

    METHODS: A review of all patients aged over 18 years and with a diagnosis of type 2 diabetes for >1 year. The National Diabetic Registry was used as the database for attendees at public health clinics in Johor Bahru between January and December 2013. A required sample of 660 was calculated, and a random sampling method was applied to acquire patient information across the 13 public health clinics in Johor Bahru. All relevant information (e.g. HbA1c, type of treatment and other parameters for glycaemic control) were abstracted from the registry.

    RESULTS: Sixty-eight percent of 706 patients had HbA1c >6.5%, and mean HbA1c was 7.8%. Younger patients (72.3%) had poorer glycaemic control than older patients (63.0%), and most patients with poor glycaemic control were obese (79.2%). Approximately 31.7% of patients did not achieve the target blood pressure <130/80 mmHg, and 58.5% did not achieve the target lipid profile. Multiple logistic regression analysis revealed that age (<60 years), sex (male), duration of diabetes (>5 years), body mass index (obese), type of treatment (diet therapy vs combination therapy) and abnormal lipid profile were significantly associated with increased odds of HbA1C >6.5%.

    CONCLUSIONS: More than half (68%) of the patients with diabetes had HbA1c >6.5%. This highlights the importance of providing organized care to manage patients with diabetes in the primary care setting, such as weight reduction programmes, proper prescribing treatment, and age- and gender-specific groups to ensure good glycaemic control.
  2. Shah SA, Mahmood MI, Ahmad N
    Asian Pac J Cancer Prev, 2020 Nov 01;21(11):3137-3144.
    PMID: 33247668 DOI: 10.31557/APJCP.2020.21.11.3137
    BACKGROUND: The recent data shows reduced uptake on cancer screening where the Perception towards cancer screening by the public is one of the favorable factor might influence the screening uptake. Therefore, this study aims to determine the predictors of poor cancer screening perceptions among the population in Johor, Malaysia.

    METHODS: This was a cross sectional study of 1,312 respondents selected using a multistage design. Questionnaires relating to the demographic characteristics, socioeconomic profiles, social and physical environment, knowledge and perception of cancer screening were gathered. Multiple logistic regression models were used to examine the variables and their association with poor perceptions of cancer screening.

    RESULTS: Overall, 871(66.4%) respondents had poor perceptions of cancer screenings; 68.4% among males and 64.4% among females. In the multivariable analysis in the category of income, the bottom 40% and lower middle 40%, had not subscribed to health insurance, had poor social support, absence of any family history of cancer or comorbid illnesses, no previous attendance for cancer screening and poor knowledge of cancer, all of which were associated with their poor cancer screening perceptions.

    CONCLUSION: One way of developing cancer screening services to detect cancer in its early stage could include efforts to reach people with less awareness about cancer screening tests, lower socioeconomic status, and inadequate social support. Particular consideration should be taken to locate those who never had health insurance or attended cancer screening tests to provide the appropriate resources.

  3. Mahmood MI, Shah SA, Ahmad N, Rosli NM
    J Cancer Educ, 2018 04;33(2):269-277.
    PMID: 27448613 DOI: 10.1007/s13187-016-1081-7
    The aim of this study was to demonstrate the construct validity of a newly developed cancer screening perception scale as a measure of the perception of cancer screening in general among high-risk but healthy asymptomatic groups.The cancer screening perception scale (CSPS) was developed based on extensive literature reviews guided by The Health Belief Model. Fifty-five written items were initially pooled, reviewed by experts for face validity, pretested by 25 healthcare workers and translated into Malay using simple back translation. The scale was then distributed to 300 respondents from two health clinics for construct validation purposes. The obtained data were analyzed using the varimax rotation method for exploratory factor analysis (EFA). The data was submitted for further confirmatory factor analysis using AMOS software.Based on EFA, the results produced five constructs as predicted: perceived severity, perceived susceptibility, perceived benefits, perceived barriers, and cues for action. Two items with low factor loading and unrelated to the recovered domains were removed. Perceived barriers and cues for action had three and two sub-domains respectively which were further confirmed to fit the measurement and structural models. CFA demonstrated the scale fitted GFI = 0.936, CFI = 0.935, RMSEA = 0.076, NORMEDCHISQ = 2.162. The scale discriminated between the domains. Cronbach's alpha for perceived severity, perceived susceptibility, perceived benefits, perceived barrier, and cues for action were 0.907, 0.877, 0.940, 0.864 and 0.938, respectively.The cancer screening perception scale with its promising psychometric properties is now available to measure risks to high-risk but healthy, asymptomatic groups aged 18 and above and can also be used for larger scale study purposes.
  4. Anuar H, Shah SA, Abdul Gafor AH, Mahmood MI
    BMC Nephrol, 2020 10 07;21(1):425.
    PMID: 33028217 DOI: 10.1186/s12882-020-02028-9
    BACKGROUND: Chronic kidney disease has become a major health problem around the world. It displays no symptoms until the later stages. Therefore, its early detection is crucial, and a suitable intervention is necessary to halt its development. The aim of this study was to develop and validate a recently formulated Chronic Kidney Disease Perception Scale (CKDPS) for diabetic patients based on Social Psychology, and their perceptions based on the Health Belief Model (HBM).

    METHODS: The newly developed CKDPS instrument was tested on 300 patients with diabetes mellitus in a cross-sectional study. The number of domains, model-fit index, construct validity, and internal consistency of this instrument were determined using exploratory (EFA) and confirmatory factor analysis (CFA).

    RESULTS: The EFA yielded nine domains: illness identity, timeline motivation, medical practice and co-operation for Social Psychology, and perceived benefit, perceived barriers, perceived susceptibility, perceived severity, and perceived cue to action for HBM. Four items with low factor loading were removed. CFA yielded the following fit indices for Social Psychology: the goodness of fit index (GFI) = 0.889, comparative fit index (CFI) = 0.934, root mean square error of approximation (RMSEA) = 0.053, normed chi-square (NC) = 1.831; and the following for HBM: GFI = 0.834, CFI = 0.957, RMSEA = 0.053, NC = 1.830. Values of Cronbach's α ranged between 0.760 and 0.909.

    CONCLUSIONS: The CKDPS includes 61 questions across nine domains, divided under two categories of Social Psychology and HBM. It is also a valid and reliable tool for measuring diabetic patients' perception of CKD prevention that can be used in larger studies.

  5. Mohd Hisham MF, Lodz NA, Muhammad EN, Asari FN, Mahmood MI, Abu Bakar Z
    JMIR Res Protoc, 2023 Jul 25;12:e36121.
    PMID: 37490330 DOI: 10.2196/36121
    BACKGROUND: According to the World Bank, Malaysia reported an estimated 97 tuberculosis cases per 100,000 people in 2021. Chest x-ray (CXR) remains the best conventional method for the early detection of pulmonary tuberculosis (PTB) infection. The intervention of artificial intelligence (AI) in PTB diagnosis could efficiently aid human interpreters and reduce health professionals' work burden. To date, no AI studies have been evaluated in Malaysia.

    OBJECTIVE: This study aims to evaluate the performance of Putralytica and Qure.ai software for CXR screening and PTB diagnosis among the Malaysian population.

    METHODS: We will conduct a retrospective case-control study at the Respiratory Medicine Institute, National Cancer Institute, and Sungai Buloh Health Clinic. A total of 1500 CXR images of patients who completed treatments or check-ups will be selected and categorized into three groups: (1) abnormal PTB cases, (2) abnormal non-PTB cases, and (3) normal cases. These CXR images, along with their clinical findings, will be the reference standard in this study. All patient data, including sociodemographic characteristics and clinical history, will be collected prior to screening via Putralytica and Qure.ai software and readers' interpretation, which are the index tests for this study. Interpretation from all 3 index tests will be compared with the reference standard, and significant statistical analysis will be computed.

    RESULTS: Data collection is expected to commence in August 2023. It is anticipated that 1 year will be needed to conduct the study.

    CONCLUSIONS: This study will measure the accuracy of Putralytica and Qure.ai software and whether their findings will concur with readers' interpretation and the reference standard, thus providing evidence toward the effectiveness of implementing AI in the medical setting.

    INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/36121.

  6. Tok PSK, Wong LP, Liew SM, Razali A, Mahmood MI, Chinnayah T, et al.
    PLoS One, 2023;18(9):e0289222.
    PMID: 37676902 DOI: 10.1371/journal.pone.0289222
    BACKGROUND: Loss to follow-up (LTFU) is an unsuccessful treatment outcome for tuberculosis (TB) patients. In Malaysia, LTFU affects around 1 in 20 TB patients. Integration of qualitative research methods and evidence will provide a better understanding of LTFU and its underlying issues. In this study, we qualitatively explored TB patients' experiences in receiving treatment and their reasons for leaving TB care.

    METHOD: In-depth interviews of 15 patients with a history of LTFU were conducted from January to September 2020. Interview guides were developed to explore TB patients' experiences while receiving treatment, including challenges faced and reasons for treatment interruption. Data were thematically analysed using the framework method.

    RESULTS: We identified 11 emerging themes that occurred at four levels of interaction with TB patients. First, at the patient personal level, TB beliefs referring to patients' perception of illness and wellness, patients' perceived role of traditional and complementary medicine, and substance abuse were important. Second, the healthcare system and treatment factors that were highlighted included the organisation of care and treatment, interaction with healthcare professionals, particularly in communication and counselling, and TB medications' side effects. Third, structural factors including financial burden, logistical and transportation issues and work-related factors were identified to be barriers to treatment continuation. Fourth, the interpersonal level interaction of patients should not be neglected; this includes family relationships and support as well as peer influence.

    CONCLUSION: Study findings put forth issues and challenges faced by TB patients while receiving treatment and underscore areas where actions can be taken. This will contribute to informing the development and implementation of future TB control strategies that are responsive to TB patients' needs and concerns, to effectively address LTFU and ensure better treatment completion rates among TB patients in Malaysia.

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