METHODS: This quasi-experimental study was informed by the Implementation Research Logic Model and evaluated with the RE-AIM framework. Trained data collectors recruited by phone, randomly selected, asymptomatic adults aged 50-75 years from Segamat District, who previously completed a health census form for the South East Asia Community Observatory (SEACO). Participants were posted an iFOBT kit and asked to return a photo of the completed test for screening by health care professionals. A regression analysis of evaluation data was conducted to identify which variables were associated with the outcome indicators of 'study participation' and 'iFOBT completion' and the CRC-SIM was evaluated in terms of its appropriateness, feasibility and acceptability.
RESULTS: Seven hundred forty-seven eligible adults (52%) agreed to participate in this study and received an iFOBT kit. Participation was significantly lower amongst Chinese Malaysians (adjusted OR 0.45, 95% CI 0.35 - 0.59, p<0.001) compared to Malays and amongst participants from the rural sub-district (Gemereh) (adjusted OR 0.71, 95% CI 0.54 - 0.92, p=0.011) compared to the urban sub-district (Sungai Segamat). Less than half of participants (42%, n=311/747) completed the iFOBT. Test-kit completion was significantly higher amongst Chinese Malaysians (adjusted OR 3.15, 95% CI 2.11 - 4.69, p<0.001) and lower amongst participants with a monthly household income ≥RM 4,850 (adjusted OR 0.58, 95% CI 0.39 - 0.87, p=0.009) compared to participants with a lower household income. The main reported reason for non-participation was 'not interested' (58.6%) and main implementation challenges related to invalid photographs from participants and engaging iFOBT positive participants in further clinic consultations and procedures.
CONCLUSION: Home-testing for CRC (test completion) appeared to be acceptable to only around one-fifth of the target population in Malaysia. However, mindful of the challenging circumstances surrounding the pandemic, the CRC-SIM merits consideration by public health planners as a method of increasing screening in Malaysia, and other low- and middle-income countries.
METHODS AND ANALYSIS: Primary outcomes focus on feasibility measures of recruitment, retention, implementation and acceptability of the intervention. Secondary outcomes will include blood pressure, cognitive function, body composition and physical function (including muscle strength and gait speed). Adherence to the dietary intervention will be assessed through collection of biological samples, 24-hour recall and Food Frequency Questionnaire. A subgroup of participants will also complete postintervention focus groups to further explore the feasibility considerations of executing a larger trial, the ability of these individuals to make dietary changes and the barriers and facilitators associated with implementing these changes.
ETHICS AND DISSEMINATION: Ethical approval has been obtained from Monash University Human Research Ethics Committee and Medical Research and Ethics Committee of Malaysia. Results of the study will be disseminated via peer-reviewed publications and presentations at national and international conferences.ISRCTN47562685; Pre-results.
DESIGN: Population-based cross-sectional study.
SETTING: South East Asia Community Observatory HDSS site in Malaysia.
PARTICIPANTS: Of 45 246 participants recruited from 13 431 households, 18 101 eligible adults aged 18-97 years (mean age 47 years, 55.6% female) were included.
MAIN OUTCOME MEASURES: The main outcome was prevalence of multimorbidity. Multimorbidity was defined as the coexistence of two or more chronic conditions per individual. A total of 13 chronic diseases were selected and were further classified into 11 medical conditions to account for multimorbidity. The conditions were heart disease, stroke, diabetes mellitus, hypertension, chronic kidney disease, musculoskeletal disorder, obesity, asthma, vision problem, hearing problem and physical mobility problem. Risk factors for multimorbidity were also analysed.
RESULTS: Of the study cohort, 28.5% people lived with multimorbidity. The individual prevalence of the chronic conditions ranged from 1.0% to 24.7%, with musculoskeletal disorder (24.7%), obesity (20.7%) and hypertension (18.4%) as the most prevalent chronic conditions. The number of chronic conditions increased linearly with age (p<0.001). In the logistic regression model, multimorbidity is associated with female sex (adjusted OR 1.28, 95% CI 1.17 to 1.40, p<0.001), education levels (primary education compared with no education: adjusted OR 0.63, 95% CI 0.53 to 0.74; secondary education: adjusted OR 0.60, 95% CI 0.51 to 0.70; tertiary education: adjusted OR 0.65, 95% CI 0.54 to 0.80; p<0.001) and employment status (working adults compared with retirees: adjusted OR 0.70, 95% CI 0.60 to 0.82, p<0.001), in addition to age (adjusted OR 1.05, 95% CI 1.05 to 1.05, p<0.001).
CONCLUSIONS: The current single-disease services in primary and secondary care should be accompanied by strategies to address complexities associated with multimorbidity, taking into account the factors associated with multimorbidity identified. Future research is needed to identify the most commonly occurring clusters of chronic diseases and their risk factors to develop more efficient and effective multimorbidity prevention and treatment strategies.
METHODS: All diabetic patients were screened in Retinal Disease Awareness Programme (RDAP) and those who had significant DR changes were referred to the hospital for further management. Descriptive analyses were done to determine the prevalence of DR and sociodemographic characteristics among patients with diabetic. Univariate and multivariable analysis using Logistic regression were performed to find association and predictor factors in this screening.
RESULTS: A total of 3305 patients aged 40y and above were screened for DR. Of the patients screened, 9% patients were found to have DR and other visual complication such as maculopathy (0.9%), cataract (4.8%) and glaucoma (0.4%). The mean age of patients without retinopathy was 57.82±8.470y and the mean age of patients with DR was 63.93±9.857y. About 61.5% of the patients screened were aged below 60y and 38.5% were aged 60y and above. Majority of the patients screened were women 58.5% and Malay in the age group of 50-59y, while 27% were aged 60-69y. Significant association were found between age, sex, race, visual loss and DR.
CONCLUSION: Although the prevalence of DR among patients is not alarming, effective interventions need to be implemented soon to avert a large burden of visual loss from DR.