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The World Health Organization (WHO) recommends the use of color-coded cardiovascular disease (CVD) risk charts for CVD management. This study evaluated the agreement between the laboratory and non-laboratory 10-year CVD risks based on 2019 WHO CVD risk-prediction charts. The agreement of CVD risk scores among 40- to 69-year-old Bhutanese population stratified by gender and age groups (<60 and ≥60 years) was determined via weighted kappa statistics. In the general population, there was substantial agreement between the two CVD risk score charts for all ages and <60 years but a moderate agreement for participants aged ≥60 years. In males, substantial agreement was observed in all ages and in <60 years and moderate agreement in ≥60 years. In females, both the predictions showed substantial agreement in all ages and <60, but a moderate agreement for ≥60 years. The non-laboratory-based risk charts can be used interchangeably with laboratory-based charts for predicting 10-year CVD risk in resource-constrained countries like Bhutan. [ABSTRACT FROM AUTHOR]

Objective: Diabetes prevalence is increasing rapidly in rural areas of low- and middle-income countries (LMICs), but there are limited data on the performance of health systems in delivering equitable and effective care to rural populations. We therefore assessed rural-urban differences in diabetes care and control in LMICs.Research Design and Methods: We pooled individual-level data from nationally representative health surveys in 42 countries. We used Poisson regression models to estimate age-adjusted differences in the proportion of individuals with diabetes in rural versus urban areas achieving performance measures for the diagnosis, treatment, and control of diabetes and associated cardiovascular risk factors. We examined differences across the pooled sample, by sex, and by country.Results: The pooled sample from 42 countries included 840,110 individuals (35,404 with diabetes). Compared with urban populations with diabetes, rural populations had ∼15-30% lower relative risk of achieving performance measures for diabetes diagnosis and treatment. Rural populations with diagnosed diabetes had a 14% (95% CI 5-22%) lower relative risk of glycemic control, 6% (95% CI -5 to 16%) lower relative risk of blood pressure control, and 23% (95% CI 2-39%) lower relative risk of cholesterol control. Rural women with diabetes had lower achievement of performance measures relating to control than urban women, whereas among men, differences were small.Conclusions: Rural populations with diabetes experience substantial inequities in the achievement of diabetes performance measures in LMICs. Programs and policies aiming to strengthen global diabetes care must consider the unique challenges experienced by rural populations. [ABSTRACT FROM AUTHOR]

We analyzed the Population and Health Census of Bhutan (PHCB) 2017 to assess the prevalence and pattern of self-reported disability among people aged ≥15 years and the associated factors. The PHCB 2017 used the Washington Group Short Set on Functioning questionnaire to assess the disability ("lot of difficulty" or "cannot do at all") in seeing, hearing, mobility, cognition, self-care, and communication. Of the 536 443 persons included in the analysis, 384 101(71.6%) were aged <45 years, 283 453(52.8%) were men, and 206 103(38.4%) were from the rural area. The prevalence of any self-reported disability was 2.8%, among whom 34.2% reported multiple disabilities. The disability prevalence (any) was significantly higher among people aged ≥65 years, illiterate, economically inactive, permanent residents, residing in a rural area, and from central and eastern regions of the country compared with their respective counterparts. Further research on access to rehabilitation and linking with social protection schemes for the disabled is required in this country. [ABSTRACT FROM AUTHOR]