Sanjay Basu

Dr. Sanjay Basu


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 June 2012 in PLOS Medicine
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Journal Article
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SBSanjay Basu
Sanjay Basu
JAJason Andrews
Jason Andrews
SKSandeep Kishore
Sandeep Kishore
RPRajesh Panjabi
Rajesh Panjabi
DSDavid Stuckler
David Stuckler
Private sector healthcare delivery in low- and middle-income countries is sometimes argued to be more efficient, accountable, and sustainable than public sector delivery. Conversely, the public sector is often regarded as providing more equitable and evidence-based care. We performed a systematic review of research studies investigating the performance of private and public sector delivery in low- and middle-income countries. Peer-reviewed studies including case studies, meta-analyses, reviews, and case-control analyses, as well as reports published by non-governmental organizations and international agencies, were systematically collected through large database searches, filtered through methodological inclusion criteria, and organized into six World Health Organization health system themes: accessibility and responsiveness; quality; outcomes; accountability, transparency, and regulation; fairness and equity; and efficiency. Of 1,178 potentially relevant unique citations, data were obtained from 102 articles describing studies conducted in low- and middle-income countries. Comparative cohort and cross-sectional studies suggested that providers in the private sector more frequently violated medical standards of practice and had poorer patient outcomes, but had greater reported timeliness and hospitality to patients. Reported efficiency tended to be lower in the private than in the public sector, resulting in part from perverse incentives for unnecessary testing and treatment. Public sector services experienced more limited availability of equipment, medications, and trained healthcare workers. When the definition of “private sector” included unlicensed and uncertified providers such as drug shop owners, most patients appeared to access care in the private sector; however, when unlicensed healthcare providers were excluded from the analysis, the majority of people accessed public sector care. “Competitive dynamics” for funding appeared between the two sectors, such that public funds and personnel were redirected to private sector development, followed by reductions in public sector service budgets and staff. Studies evaluated in this systematic review do not support the claim that the private sector is usually more efficient, accountable, or medically effective than the public sector; however, the public sector appears frequently to lack timeliness and hospitality towards patients. Please see later in the article for the Editors' Summary

1 April 2019 in JAMA Internal Medicine
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Journal Article
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SBSanjay Basu
Sanjay Basu
SBSeth A. Berkowitz
Seth A. Berkowitz
RPRobert L. Phillips
Robert L. Phillips
ABAsaf Bitton
Asaf Bitton
BLBruce E. Landon
Bruce E. Landon
RPRussell S. Phillips
Russell S. Phillips
Primary care physicians are typically responsible for the prevention, diagnosis, management, and treatment of a wide array of conditions. When examining area-level differences in the availability of primary care services and average large-area health statistics (at the international and state levels, in particular), higher availability of primary care services within a health system has been correlated with lower all-cause and cause-specific mortality. However, these cross-sectional correlations generally did not control extensively for other health care and socioeconomic confounders.1-6 Consequently, the association of incremental increases in primary care physician supply with population-wide health outcomes remains heavily debated,7-10 and whether to invest in policies that specifically aim to increase primary care physician supply is an important question in health care reform across many high-income countries. In the United States, in the absence of such policies, market forces have reduced primary care supply relative to higher-income specialties.11-14

27 February 2013 in PLOS ONE
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Journal Article
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SBSanjay Basu
Sanjay Basu
PYPaula Yoffe
Paula Yoffe
NHNancy Hills
Nancy Hills
RLRobert H. Lustig
Robert H. Lustig
While experimental and observational studies suggest that sugar intake is associated with the development of type 2 diabetes, independent of its role in obesity, it is unclear whether alterations in sugar intake can account for differences in diabetes prevalence among overall populations. Using econometric models of repeated cross-sectional data on diabetes and nutritional components of food from 175 countries, we found that every 150 kcal/person/day increase in sugar availability (about one can of soda/day) was associated with increased diabetes prevalence by 1.1% (p <0.001) after testing for potential selection biases and controlling for other food types (including fibers, meats, fruits, oils, cereals), total calories, overweight and obesity, period-effects, and several socioeconomic variables such as aging, urbanization and income. No other food types yielded significant individual associations with diabetes prevalence after controlling for obesity and other confounders. The impact of sugar on diabetes was independent of sedentary behavior and alcohol use, and the effect was modified but not confounded by obesity or overweight. Duration and degree of sugar exposure correlated significantly with diabetes prevalence in a dose-dependent manner, while declines in sugar exposure correlated with significant subsequent declines in diabetes rates independently of other socioeconomic, dietary and obesity prevalence changes. Differences in sugar availability statistically explain variations in diabetes prevalence rates at a population level that are not explained by physical activity, overweight or obesity.

1 November 2013 in American Journal of Public Health
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Journal Article
Closed access
SBSanjay Basu
Sanjay Basu
MMMartin McKee
Martin McKee
GGGauden Galea
Gauden Galea
DSDavid Stuckler
David Stuckler
Objectives. We estimated the relationship between soft drink consumption and obesity and diabetes worldwide. Methods. We used multivariate linear regression to estimate the association between soft drink consumption and overweight, obesity, and diabetes prevalence in 75 countries, controlling for other foods (cereals, meats, fruits and vegetables, oils, and total calories), income, urbanization, and aging. Data were obtained from the Euromonitor Global Market Information Database, the World Health Organization, and the International Diabetes Federation. Bottled water consumption, which increased with per-capita income in parallel to soft drink consumption, served as a natural control group. Results. Soft drink consumption increased globally from 9.5 gallons per person per year in 1997 to 11.4 gallons in 2010. A 1% rise in soft drink consumption was associated with an additional 4.8 overweight adults per 100 (adjusted B; 95% confidence interval [CI] = 3.1, 6.5), 2.3 obese adults per 100 (95% CI = 1.1, 3.5), and 0.3 adults with diabetes per 100 (95% CI = 0.1, 0.8). These findings remained robust in low- and middle-income countries. Conclusions. Soft drink consumption is significantly linked to overweight, obesity, and diabetes worldwide, including in low- and middle-income countries.

1 July 2013 in Hypertension
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Journal Article
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SBSanjay Basu
Sanjay Basu
CMChristopher Millett
Christopher Millett
Large-scale hypertension screening campaigns have been recommended for middle-income countries. We sought to identify sociodemographic predictors of hypertension prevalence, diagnosis, treatment, and control among middle-income countries. We analyzed data from 47 443 adults in all 6 middle-income countries (China, Ghana, India, Mexico, Russia, and South Africa) sampled in nationally representative household assessments from 2007 to 2010 as part of the World Health Organization Study on Global Aging and Adult Health. We estimated regression models accounting for age, sex, urban/rural location, nutrition, and obesity, as well as hypothesized covariates of healthcare access, such as income and insurance. Hypertension prevalence varied from 23% (India) to 52% (Russia), with between 30% (Russia) and 83% (Ghana) of hypertensives undiagnosed before the survey and between 35% (Russia) and 87% (Ghana) untreated. Although the risk of hypertension significantly increased with age (odds ratio, 4.6; 95% confidence interval, 3.0–7.1; among aged, 60–79 versus <40 years), the risk of being undiagnosed or untreated fell significantly with age. Obesity was a significant correlate to hypertension (odds ratio, 3.7; 95% confidence interval, 2.1–6.8 for obese versus normal weight), and was prevalent even among the lowest income quintile (13% obesity). Insurance status and income also emerged as significant correlates to diagnosis and treatment probability, respectively. More than 90% of hypertension cases were uncontrolled, with men having 3 times the odds as women of being uncontrolled. Overall, the social epidemiology of hypertension in middle-income countries seems to be correlated to increasing obesity prevalence, and hypertension control rates are particularly low for adult men across distinct cultures.

1 January 2019 in The Lancet Diabetes & Endocrinology
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Journal Article
Open access
SBSanjay Basu
Sanjay Basu
JYJohn S Yudkin
John S Yudkin
SKSylvia Kehlenbrink
Sylvia Kehlenbrink
JDJustine I Davies
Justine I Davies
SWSarah H Wild
Sarah H Wild
DBDavid Beran
David Beran
The amount of insulin needed to effectively treat type 2 diabetes worldwide is unknown. It also remains unclear how alternative treatment algorithms would affect insulin use and disability-adjusted life-years (DALYs) averted by insulin use, given that current access to insulin (availability and affordability) in many areas is low. The aim of this study was to compare alternative projections for and consequences of insulin use worldwide under varying treatment algorithms and degrees of insulin access. We developed a microsimulation of type 2 diabetes burden from 2018 to 2030 across 221 countries using data from the International Diabetes Federation for prevalence projections and from 14 cohort studies representing more than 60% of the global type 2 diabetes population for HbA1c, treatment, and bodyweight data. We estimated the number of people with type 2 diabetes expected to use insulin, international units (IU) required, and DALYs averted per year under alternative treatment algorithms targeting HbA1c from 6·5% to 8%, lower microvascular risk, or higher HbA1c for those aged 75 years and older. The number of people with type 2 diabetes worldwide was estimated to increase from 405·6 million (95% CI 315·3 million-533·7 million) in 2018 to 510·8 million (395·9 million-674·3 million) in 2030. On this basis, insulin use is estimated to increase from 516·1 million 1000 IU vials (95% CI 409·0 million-658·6 million) per year in 2018 to 633·7 million (500·5 million-806·7 million) per year in 2030. Without improved insulin access, 7·4% (95% CI 5·8-9·4) of people with type 2 diabetes in 2030 would use insulin, increasing to 15·5% (12·0-20·3) if insulin were widely accessible and prescribed to achieve an HbA1c of 7% (53 mmol/mol) or lower. If HbA1c of 7% or lower was universally achieved, insulin would avert 331 101 DALYs per year by 2030 (95% CI 256 601-437 053). DALYs averted would increase by 14·9% with access to newer oral antihyperglycaemic drugs. DALYs averted would increase by 44·2% if an HbA1c of 8% (64 mmol/mol) were used as a target among people aged 75 years and older because of reduced hypoglycaemia. The insulin required to treat type 2 diabetes is expected to increase by more than 20% from 2018 to 2030. More DALYs might be averted if HbA1c targets are higher for older adults. The Leona M and Harry B Helmsley Charitable Trust.