ObjectiveTo estimate the prevalence of hypertension, diabetes and chronic kidney disease and their risk factors in a rural and urban region of Haiti.Setting and participantsCommunity health workers enumerated 2648 households (909 rural and 1739 urban) via a multistage cluster random sampling method from July 2015 to May 2016, completed 705 rural and 1419 urban assessments for adults aged 25–65 years.Outcome measuresWe performed a WHO STEPS based questionnaire, measured two blood pressure values, weight, height, abdominal circumference and point of care test finger stick blood sample for haemoglobin A1c, creatinine and cholesterol (total, high density lipoprotein (HDL) and triglycerides).ResultsAfter adjusting for age and sex, the overall prevalence rates of hypertension, diabetes and chronic kidney disease were 15.6% (±2.93%), 19.7% (±1.57%) and 12.3% (±2.72%), respectively. Of the three non-communicable diseases (NCDs), only diabetes showed a significant difference between rural and urban sites (p=0.000), with the rural site (23.1%) having a higher prevalence than the urban site (16.4%). When comparing male and female participants, females were significantly more likely than males to have an NCD (p≤0.011). Females had a higher prevalence of most of the risk factors when compared with males. The urban location had a higher prevalence than the rural location for four risk factors that showed a significant difference between location (p≤0.037).ConclusionsWomen in Haiti had significantly higher prevalence rates of most NCDs and risk factors than men, and urban populations frequently, but not always, had higher rates of NCDs risk factors than the rural population. Further, it was shown that using point of care blood tests combined with community health workers, it is feasible to screen for NCDs and risk factors in remote areas which otherwise have limited access to healthcare.
Non-communicable disease diagnosis frequently relies on biochemical measurements but laboratory infrastructure in low-income settings is often insufficient and distances to clinics may be vast. We present a model for point of care (POC) epidemiology as used in our study of chronic disease in the Haiti Health Study, in rural and urban Haiti. Point of care testing (POCT) of creatinine, cholesterol, and hemoglobin A1c as well as physical measurements of weight, height, and waist circumference allowed for diagnosis of diabetes, chronic kidney disease, dyslipidemias, and obesity. Methods and troubleshooting techniques for the data collection of this study are presented. We discuss our method of community-health worker (CHW) training, community engagement, study design, and field data collection. We also discuss the machines used and our quality control across CHWs and across geographical regions. Pitfalls tended to include equipment malfunction, transportation issues, and cultural differences. May this paper provide information for those attempting to perform similar diagnostic and screening studies using POCT in resource poor settings.
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