Shivani A. Patel

Effectiveness of a Multicomponent Quality Improvement Strategy to Improve Achievement of Diabetes Care Goals: A Randomized, Controlled Trial

BACKGROUND Achievement of diabetes care goals is suboptimal globally. Diabetes-focused quality improvement (QI) is effective but remains untested in South Asia. OBJECTIVE To compare the effect of a multicomponent QI strategy versus usual care on cardiometabolic profiles in patients with poorly controlled diabetes. DESIGN Parallel, open-label, pragmatic randomized, controlled trial. (ClinicalTrials.gov: NCT01212328). SETTING Diabetes clinics in India and Pakistan. PATIENTS 1146 patients (575 in the intervention group and 571 in the usual care group) with type 2 diabetes and poor cardiometabolic profiles (glycated hemoglobin [HbA1c] level ≥8% plus systolic blood pressure [BP] ≥140 mm Hg and/or low-density lipoprotein cholesterol [LDLc] level ≥130 mg/dL). INTERVENTION Multicomponent QI strategy comprising nonphysician care coordinators and decision-support electronic health records. MEASUREMENTS Proportions achieving HbA1c level less than 7% plus BP less than 130/80 mm Hg and/or LDLc level less than 100 mg/dL (primary outcome); mean risk factor reductions, health-related quality of life (HRQL), and treatment satisfaction (secondary outcomes). RESULTS Baseline characteristics were similar between groups. Median diabetes duration was 7.0 years; 6.8% and 39.4% of participants had preexisting cardiovascular and microvascular disease, respectively; mean HbA1c level was 9.9%; mean BP was 143.3/81.7 mm Hg; and mean LDLc level was 122.4 mg/dL. Over a median of 28 months, a greater percentage of intervention participants achieved the primary outcome (18.2% vs. 8.1%; relative risk, 2.24 [95% CI, 1.71 to 2.92]). Compared with usual care, intervention participants achieved larger reductions in HbA1c level (-0.50% [CI, -0.69% to -0.32%]), systolic BP (-4.04 mm Hg [CI, -5.85 to -2.22 mm Hg]), diastolic BP (-2.03 mm Hg [CI, -3.00 to -1.05 mm Hg]), and LDLc level (-7.86 mg/dL [CI, -10.90 to -4.81 mg/dL]) and reported higher HRQL and treatment satisfaction. LIMITATION Findings were confined to urban specialist diabetes clinics. CONCLUSION Multicomponent QI improves achievement of diabetes care goals, even in resource-challenged clinics. PRIMARY FUNDING SOURCE National Heart, Lung, and Blood Institute and UnitedHealth Group.

Non-communicable diseases in South Asia: contemporary perspectives

INTRODUCTION Non-communicable diseases (NCDs) such as metabolic, cardiovascular, cancers, injuries and mental health disorders are increasingly contributing to the disease burden in South Asia, in light of demographic and epidemiologic transitions in the region. Home to one-quarter of the worlds population, the region is also an important priority area for meeting global health targets. In this review, we describe the current burden of and trends in four common NCDs (cardiovascular disease, diabetes, cancer and chronic obstructive pulmonary disease) in South Asia. SOURCES OF DATA The 2010 Global Burden of Disease Study supplemented with the peer-reviewed literature and reports by international agencies and national governments. AREAS OF AGREEMENT The burden of NCDs in South Asia is rising at a rate that exceeds global increases in these conditions. Shifts in leading risk factors-particularly dietary habits, tobacco use and high blood pressure-are thought to underlie the mounting burden of death and disability due to NCDs. Improvements in life expectancy, increasing socioeconomic development and urbanization in South Asia are expected to lead to further escalation of NCDs. AREAS OF CONTROVERSY Although NCD burdens are currently largest among affluent groups in South Asia, many adverse risk factors are concentrated among the poor, portending a future increase in disease burden among lower income individuals. GROWING POINTS There continues to be a notable lack of national surveillance data to document the distribution and trends in NCDs in the region. Similarly, economic studies and policy initiatives addressing NCD burdens are still in their infancy. AREAS TIMELY FOR DEVELOPING RESEARCH Opportunities for innovative structural and behavioral interventions that promote maintenance of healthy lifestyles-such as moderate caloric intake, adequate physical activity and avoidance of tobacco-in the context of socioeconomic development are abundant. Testing of health care infrastructure and systems that best provide low-cost and effective detection and treatment of NCDs is a priority for policy researchers.

Obesity and its Relation With Diabetes and Hypertension: A Cross-Sectional Study Across 4 Geographical Regions.

BACKGROUND The implications of rising obesity for cardiovascular health in middle-income countries has generated interest, in part because associations between obesity and cardiovascular health seem to vary across ethnic groups. OBJECTIVE We assessed general and central obesity in Africa, East Asia, South America, and South Asia. We further investigated whether body mass index (BMI) and waist circumference differentially relate to cardiovascular health; and associations between obesity metrics and adverse cardiovascular health vary by region. METHODS Using baseline anthropometric data collected between 2008 and 2012 from 7 cohorts in 9 countries, we estimated the proportion of participants with general and central obesity using BMI and waist circumference classifications, respectively, by study site. We used Poisson regression to examine the associations (prevalence ratios) of continuously measured BMI and waist circumference with prevalent diabetes and hypertension by sex. Pooled estimates across studies were computed by sex and age. RESULTS This study analyzed data from 31,118 participants aged 20 to 79 years. General obesity was highest in South Asian cities and central obesity was highest in South America. The proportion classified with general obesity (range 11% to 50%) tended to be lower than the proportion classified as centrally obese (range 19% to 79%). Every standard deviation higher of BMI was associated with 1.65 and 1.60 times higher probability of diabetes and 1.42 and 1.28 times higher probability of hypertension, for men and women, respectively, aged 40 to 69 years. Every standard deviation higher of waist circumference was associated with 1.48 and 1.74 times higher probability of diabetes and 1.34 and 1.31 times higher probability of hypertension, for men and women, respectively, aged 40 to 69 years. Associations of obesity measures with diabetes were strongest in South Africa among men and in South America among women. Associations with hypertension were weakest in South Africa among both sexes. CONCLUSIONS BMI and waist circumference were both reasonable predictors of prevalent diabetes and hypertension. Across diverse ethnicities and settings, BMI and waist circumference remain salient metrics of obesity that can identify those with increased cardiovascular risk.

Diabetes in Asian Indians-How much is preventable? Ten-year follow-up of the Chennai Urban Rural Epidemiology Study (CURES-142).

We sought to evaluate the contribution of various modifiable risk factors to the partial population attributable risk (PARp) for diabetes in an Asian Indian population. Of a cohort of 3589 individuals, representative of Chennai, India, followed up after a period of ten years, we analyzed data from 1376 individuals who were free of diabetes at baseline. A diet risk score was computed incorporating intake of refined cereals, fruits and vegetables, dairy products, and monounsaturated fatty acid. Abdominal obesity was found to contribute the most to incident diabetes [Relative Risk (RR) 1.63(95%CI 1.21-2.20)]; (PARp 41.1% (95%CI 28.1-52.6)]. The risk for diabetes increased with increasing quartiles of the diet risk score [highest quartile RR 2.14(95% CI 1.26-3.63)] and time spent viewing television [(RR 1.84(95%CI 1.36-2.49] and sitting [(RR 2.09(95%CI 1.42-3.05)]. The combination of five risk factors (obesity, physical inactivity, unfavorable diet risk score, hypertriglyceridemia and low HDL cholesterol) could explain 80.7% of all incident diabetes (95%CI 53.8-92.7). Modifying these easily identifiable risk factors could therefore prevent the majority of cases of incident diabetes in the Asian Indian population. Translation of these findings into public health practice will go a long way in arresting the progress of the diabetes epidemic in this region.

Obesity in Low- and Middle-Income Countries: Burden, Drivers, and Emerging Challenges

We have reviewed the distinctive features of excess weight, its causes, and related prevention and management efforts, as well as data gaps and recommendations for future research in low- and middle-income countries (LMICs). Obesity is rising in every region of the world, and no country has been successful at reversing the epidemic once it has begun. In LMICs, overweight is higher in women compared with men, in urban compared with rural settings, and in older compared with younger individuals; however, the urban-rural overweight differential is shrinking in many countries. Overweight occurs alongside persistent burdens of underweight in LMICs, especially in young women. Changes in the global diet and physical activity are among the hypothesized leading contributors to obesity. Emerging risk factors include environmental contaminants, chronic psychosocial stress, neuroendocrine dysregulation, and genetic/epigenetic mechanisms. Data on effective strategies to prevent the onset of obesity in LMICs or elsewhere are limited. Expanding the research in this area is a key priority and has important possibilities for reverse innovation that may also inform interventions in high-income countries.

Unhealthy weight among children and adults in India: urbanicity and the crossover in underweight and overweight.

PURPOSE Urbanization may promote the rise of dual burdens of underweight and overweight in low- and middle-income countries. We assessed underweight and overweight by urban residence across the lifespan in India. METHODS Using nationally representative, directly measured height and weight data (2004-2006; n = 236,039), we estimated and compared the prevalence of underweight and overweight (including obesity) at ages 0 to 54 years by urban and rural residence; absolute burdens of underweight, overweight, and combined unhealthy weight were estimated using 2011 Census data. RESULTS Thirty-eight percent of the urban population and 36% of the rural population of India experienced unhealthy weight, amounting to 378 million underweight or overweight individuals. In urban areas, the unhealthy weight burden was largely underweight in childhood and overweight in adulthood. In rural areas, the unhealthy weight burden was largely underweight at all ages. Urban residents compared with rural residents were more likely to be overweight and less likely to be underweight at nearly all ages. CONCLUSIONS Combined unhealthy weight was comparable in urban and rural India. Although underweight continues to be the predominant nutritional problem, there is early evidence of an epidemiologic crossover from underweight to overweight. As India experiences urbanization and population aging, low overweight and obesity may be short lived.

Preventing infant and child morbidity and mortality due to maternal depression

This review provides an overview of perinatal depression and its impacts on the health of mothers, their newborns, and young children in low- and middle-income countries (LMICs). We define and describe the urgency and scope of the problem of perinatal depression for mothers, while highlighting some specific issues such as suicidal ideation and decreased likelihood to seek health care. Pathways through which stress may link maternal depression to childhood growth and development (e.g., the hypo-pituitary axis) are discussed, followed by a summary of the adverse effects of depression on birth outcomes, parenting practices, and child growth and development. Although preliminary studies on the association between maternal depressive symptoms and maternal and child mortality exist, more research on these topics is needed. We describe the available interventions and suggest strategies to reduce maternal depressive symptoms in LMICs, including integration of services with existing primary health-care systems.

Measuring social networks for medical research in lower-income settings.

Social networks are believed to affect health-related behaviors and health. Data to examine the links between social relationships and health in low- and middle-income country settings are limited. We provide guidance for introducing an instrument to collect social network data as part of epidemiological surveys, drawing on experience in urban India. We describe development and fielding of an instrument to collect social network information relevant to health behaviors among adults participating in a large, population-based study of non-communicable diseases in Delhi, India. We discuss basic characteristics of social networks relevant to health including network size, health behaviors of network partners (i.e., network exposures), network homogeneity, network diversity, strength of ties, and multiplexity. Data on these characteristics can be collected using a short instrument of 11 items asked about up to 5 network members and 3 items about the network generally, administered in approximately 20 minutes. We found high willingness to respond to questions about social networks (97% response). Respondents identified an average of 3.8 network members, most often relatives (80% of network ties), particularly blood relationships. Ninety-one percent of respondents reported that their primary contacts for discussing health concerns were relatives. Among all listed ties, 91% of most frequent snack partners and 64% of exercise partners in the last two weeks were relatives. These results demonstrate that family relationships are the crux of social networks in some settings, including among adults in urban India. Collecting basic information about social networks can be feasibly and effectively done within ongoing epidemiological studies.

Comparison of multiple obesity indices for cardiovascular disease risk classification in South Asian adults: The CARRS Study

Background We comparatively assessed the performance of six simple obesity indices to identify adults with cardiovascular disease (CVD) risk factors in a diverse and contemporary South Asian population. Methods 8,892 participants aged 20–60 years in 2010–2011 were analyzed. Six obesity indices were examined: body mass index (BMI), waist circumference (WC), waist-height ratio (WHtR), waist-hip ratio (WHR), log of the sum of triceps and subscapular skin fold thickness (LTS), and percent body fat derived from bioelectric impedance analysis (BIA). We estimated models with obesity indices specified as deciles and as continuous linear variables to predict prevalent hypertension, diabetes, and high cholesterol and report associations (prevalence ratios, PRs), discrimination (area-under-the-curve, AUCs), and calibration (index χ2). We also examined a composite unhealthy cardiovascular profile score summarizing glucose, lipids, and blood pressure. Results No single obesity index consistently performed statistically significantly better than the others across the outcome models. Based on point estimates, WHtR trended towards best performance in classifying diabetes (PR = 1.58 [1.45–1.72], AUC = 0.77, men; PR = 1.59 [1.47–1.71], AUC = 0.80, women) and hypertension (PR = 1.34 [1.26,1.42], AUC = 0.70, men; PR = 1.41 [1.33,1.50], AUC = 0.78, women). WC (mean difference = 0.24 SD [0.21–0.27]) and WHtR (mean difference = 0.24 SD [0.21,0.28]) had the strongest associations with the composite unhealthy cardiovascular profile score in women but not in men. Conclusions WC and WHtR were the most useful indices for identifying South Asian adults with prevalent diabetes and hypertension. Collection of waist circumference data in South Asian health surveys will be informative for population-based CVD surveillance efforts.

Interstate Variation in Modifiable Risk Factors and Cardiovascular Mortality in the United States

Objective We investigated the role of state-level differences in modifiable cardiovascular (CV) risk factors in contributing to state disparities in cardiovascular mortality rates in the US. Methods Adults aged 45–74 in 2010 were examined. We constructed a CV risk index summarizing state-level exposure to current smoking, obesity, physical inactivity, alcohol abstinence, hypertension, elevated cholesterol, and diabetes using the Behavioral Risk Factor Surveillance System. Outcomes were cardiovascular, coronary heart disease, and stroke mortality. Linear regression was used to estimate associations between the CV risk index and mortality outcomes. Models accounted for state-level socioeconomic characteristics and other potential confounders. Results Risk factors were highly correlated at the state-level (Cronbachs alpha 0.85 (men) and 0.92 (women). Each +1SD difference in the cardiovascular risk index was associated with higher adjusted cardiovascular mortality rates by 41.0 (95%CI = 26.3, 55.7) and 33.3 (95%CI = 24.4, 42.2) deaths per 100,000 for men and women, respectively. The index accounted for 8% (men) and 11% (women) of the variation in state-level cardiovascular mortality. Comparable associations were also observed for coronary heart disease and stroke mortality. Conclusions CV risk factors were highly correlated at the state-level and were independently associated with state CV mortality, suggesting the utility of generalized CV risk reduction.