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.
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.
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.
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.