{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T23:52:31Z","timestamp":1793317951852,"version":"4.5.0"},"reference-count":47,"publisher":"American Medical Association (AMA)","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAMA Netw Open"],"abstract":"<jats:sec id=\"ab-zoi231141-4\">\n                    <jats:title>Importance<\/jats:title>\n                    <jats:p>Hypertension is a major cause of morbidity and mortality worldwide. Previous efforts to characterize gaps in the hypertension care continuum\u2014including diagnosis, treatment, and control\u2014in India did not assess district-level variation. Local data are critical for planning, implementation, and monitoring efforts to curb the burden of hypertension.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi231141-5\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To examine the hypertension care continuum in India among individuals aged 18 to 98 years.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi231141-6\">\n                    <jats:title>Design, Setting, and Participants<\/jats:title>\n                    <jats:p>The nationally representative Fifth National Family Health Survey study was conducted in 2 phases from June 17, 2019, to March 21, 2020, and from November 21, 2020, to April 30, 2021, among 1\u202f895\u202f297 individuals in 28 states, 8 union territories, and 707 districts of India.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi231141-7\">\n                    <jats:title>Exposures<\/jats:title>\n                    <jats:p>District and state of residence, urban classification, age (18-39, 40-64, and \u226565 years), sex, and household wealth quintile.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi231141-8\">\n                    <jats:title>Main Outcomes and Measures<\/jats:title>\n                    <jats:p>Hypertension was defined as a self-reported diagnosis or a newly measured blood pressure of 140\/90 mm Hg or more. The proportion of individuals diagnosed (self-reported), the proportion of individuals treated among those diagnosed (self-reported medication use), and the proportion of individuals with blood pressure control among those treated (blood pressure &amp;amp;lt;140\/90 mm Hg [aged 18-79 years] or &amp;amp;lt;150\/90 mm Hg [aged \u226580 years]) were calculated based on national guidelines. Age-standardized estimates of treatment and control were also provided among the total with hypertension. To assess differences in the care continuum between or within states (ie, between districts), the variance was partitioned using generalized linear mixed models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi231141-9\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Of the 1\u202f691\u202f036 adult respondents (52.6% women; mean [SD] age, 41.6 [16.5] years), 28.1% (95% CI, 27.9%-28.3%) had hypertension, of whom 36.9% (95% CI, 36.4%-37.3%) received a diagnosis. Among those who received a diagnosis, 44.7% (95% CI, 44.1%-45.3%) reported taking medication (corresponding to 17.7% [95% CI, 17.5%-17.9%] of the total with hypertension). Among those treated, 52.5% (95% CI, 51.7%-53.4%) had blood pressure control (corresponding to 8.5% [95% CI, 8.3%-8.6%] of the total with hypertension). There were substantial variations across districts in blood pressure diagnosis (range, 6.3%-77.5%), treatment (range, 8.7%-97.1%), and control (range, 2.7%-76.6%). Large proportions of the variation in hypertension diagnosis (94.7%), treatment (93.6%), and control (97.3%) were within states, not just between states.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"ab-zoi231141-10\">\n                    <jats:title>Conclusions and Relevance<\/jats:title>\n                    <jats:p>In this cross-sectional survey study of Indian adults, more than 1 in 4 people had hypertension, and of these, only 1 in 3 received a diagnosis, less than 1 in 5 were treated, and only 1 in 12 had blood pressure control. National mean values hide considerable state-level and district-level variation in the care continuum, suggesting the need for targeted, decentralized solutions to improve the hypertension care continuum in India.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1001\/jamanetworkopen.2023.39098","type":"journal-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T11:01:19Z","timestamp":1698058879000},"page":"e2339098","source":"Crossref","is-referenced-by-count":101,"title":["Hypertension Diagnosis, Treatment, and Control in India"],"prefix":"10.1001","volume":"6","author":[{"given":"Jithin Sam","family":"Varghese","sequence":"first","affiliation":[{"name":"Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia"},{"name":"Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikhil Srinivasapura","family":"Venkateshmurthy","sequence":"additional","affiliation":[{"name":"Public Health Foundation of India, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikkil","family":"Sudharsanan","sequence":"additional","affiliation":[{"name":"Professorship of Behavioral Science for Disease Prevention and Health Care, Technical University of Munich, Munich, Germany"},{"name":"Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Panniyammakal","family":"Jeemon","sequence":"additional","affiliation":[{"name":"Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shivani A.","family":"Patel","sequence":"additional","affiliation":[{"name":"Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia"},{"name":"Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harsha","family":"Thirumurthy","sequence":"additional","affiliation":[{"name":"Leonard Davis Institute of Health Economics and Perelman School of Medicine, University of Pennsylvania, Philadelphia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ambuj","family":"Roy","sequence":"additional","affiliation":[{"name":"Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikhil","family":"Tandon","sequence":"additional","affiliation":[{"name":"Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K. M. Venkat","family":"Narayan","sequence":"additional","affiliation":[{"name":"Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia"},{"name":"Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dorairaj","family":"Prabhakaran","sequence":"additional","affiliation":[{"name":"Public Health Foundation of India, New Delhi, India"},{"name":"Center for Chronic Disease Control, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed K.","family":"Ali","sequence":"additional","affiliation":[{"name":"Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia"},{"name":"Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia"},{"name":"Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, Georgia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10","published-online":{"date-parts":[[2023,10,23]]},"reference":[{"issue":"10199","key":"zoi231141r3","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1016\/S0140-6736(19)30955-9","article-title":"The state of hypertension care in 44 low-income and middle-income countries: a cross-sectional study of nationally representative individual-level data from 1\u00b71 million adults.","volume":"394","author":"Geldsetzer","year":"2019","journal-title":"Lancet"},{"issue":"2","key":"zoi231141r4","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1161\/HYPERTENSIONAHA.120.14874","article-title":"May measurement month 2019: the Global Blood Pressure Screening Campaign of the International Society of Hypertension.","volume":"76","author":"Beaney","year":"2020","journal-title":"Hypertension"},{"issue":"10304","key":"zoi231141r6","doi-asserted-by":"publisher","first-page":"957","DOI":"10.1016\/S0140-6736(21)01330-1","article-title":"Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants.","volume":"398","author":"Zhou","year":"2021","journal-title":"Lancet"},{"key":"zoi231141r9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1002801","author":"Prenissl","year":"2019","journal-title":"PLoS Med"},{"key":"zoi231141r10","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1003855","author":"Lee","year":"2022","journal-title":"PLoS Med"},{"issue":"5","key":"zoi231141r11","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1038\/s41371-022-00692-y","article-title":"Hypertension treatment cascade in India: results from National Noncommunicable Disease Monitoring Survey.","volume":"37","author":"Amarchand","year":"2023","journal-title":"J Hum Hypertens"},{"issue":"6","key":"zoi231141r12","doi-asserted-by":"publisher","first-page":"1170","DOI":"10.1097\/HJH.0000000000000146","article-title":"Hypertension in India: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension.","volume":"32","author":"Anchala","year":"2014","journal-title":"J Hypertens"},{"issue":"7","key":"zoi231141r15","doi-asserted-by":"publisher","first-page":"560","DOI":"10.1038\/s41371-022-00742-5","article-title":"The India Hypertension Control Initiative\u2014early outcomes in 26 districts across five states of India, 2018-2020.","volume":"37","author":"Kaur","year":"2023","journal-title":"J Hum Hypertens"},{"issue":"134","key":"zoi231141r20","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2017.0213","article-title":"The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded.","volume":"14","author":"Nakagawa","year":"2017","journal-title":"J R Soc Interface"},{"issue":"43","key":"zoi231141r22","doi-asserted-by":"publisher","first-page":"1686","DOI":"10.21105\/joss","article-title":"Welcome to the Tidyverse.","volume":"4","author":"Wickham","year":"2019","journal-title":"J Open Source Softw"},{"issue":"3","key":"zoi231141r27","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1001\/jamainternmed.2017.8094","article-title":"Diabetes and hypertension in India: a nationally representative study of 1.3 million adults.","volume":"178","author":"Geldsetzer","year":"2018","journal-title":"JAMA Intern Med"},{"issue":"3","key":"zoi231141r28","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1097\/MBP.0b013e3280b083f4","article-title":"The effect of temperature on systolic blood pressure.","volume":"12","author":"Barnett","year":"2007","journal-title":"Blood Press Monit"},{"issue":"3","key":"zoi231141r29","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1161\/HYPERTENSIONAHA.118.11140","article-title":"Systemic hypertension at high altitude.","volume":"72","author":"Narvaez-Guerra","year":"2018","journal-title":"Hypertension"},{"issue":"9","key":"zoi231141r30","doi-asserted-by":"publisher","first-page":"e1142","DOI":"10.1016\/S2214-109X(20)30300-4","article-title":"A vulnerability index for the management of and response to the COVID-19 epidemic in India: an ecological study.","volume":"8","author":"Acharya","year":"2020","journal-title":"Lancet Glob Health"},{"issue":"1","key":"zoi231141r32","doi-asserted-by":"publisher","first-page":"63","DOI":"10.5334\/gh.1066","article-title":"World Heart Federation roadmap for hypertension\u2014a 2021 update.","volume":"16","author":"Jeemon","year":"2021","journal-title":"Glob Heart"},{"issue":"1","key":"zoi231141r33","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1186\/s12877-022-02760-x","article-title":"Quantifying population level hypertension care cascades in India: a cross-sectional analysis of risk factors and disease linkages.","volume":"22","author":"Kothavale","year":"2022","journal-title":"BMC Geriatr"},{"issue":"10199","key":"zoi231141r34","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1016\/S0140-6736(19)31145-6","article-title":"Long-term and recent trends in hypertension awareness, treatment, and control in 12 high-income countries: an analysis of 123 nationally representative surveys.","volume":"394","author":"Zhou","year":"2019","journal-title":"Lancet"},{"issue":"1","key":"zoi231141r37","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1186\/s12913-022-08190-0","article-title":"Evidence for an expanded hypertension care cascade in low- and middle-income countries: a scoping review.","volume":"22","author":"Peters","year":"2022","journal-title":"BMC Health Serv Res"},{"issue":"1","key":"zoi231141r38","doi-asserted-by":"publisher","first-page":"688","DOI":"10.1186\/s12913-022-08025-y","article-title":"Improving care for hypertension and diabetes in India by addition of clinical decision support system and task shifting in the national NCD program: I-TREC model of care.","volume":"22","author":"Jindal","year":"2022","journal-title":"BMC Health Serv Res"},{"issue":"9","key":"zoi231141r40","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1038\/s41371-022-00766-x","article-title":"Financial implications of protocol-based hypertension treatment: an insight into medication costs in public and private health sectors in India.","volume":"37","author":"Sahoo","year":"2023","journal-title":"J Hum Hypertens"},{"issue":"25","key":"zoi231141r41","doi-asserted-by":"publisher","first-page":"2429","DOI":"10.1056\/NEJMoa1901113","article-title":"Comparison of dual therapies for lowering blood pressure in Black Africans.","volume":"380","author":"Ojji","year":"2019","journal-title":"N Engl J Med"},{"issue":"7","key":"zoi231141r42","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1001\/jama.2013.108769","article-title":"Improved blood pressure control associated with a large-scale hypertension program.","volume":"310","author":"Jaffe","year":"2013","journal-title":"JAMA"},{"issue":"12","key":"zoi231141r43","doi-asserted-by":"publisher","first-page":"1067","DOI":"10.1056\/NEJMoa2105675","article-title":"Effect of salt substitution on cardiovascular events and death.","volume":"385","author":"Neal","year":"2021","journal-title":"N Engl J Med"},{"issue":"652","key":"zoi231141r44","doi-asserted-by":"publisher","DOI":"10.1126\/scitranslmed.abi9522","article-title":"Longitudinal evidence on treatment discontinuation, adherence, and loss of hypertension control in four middle-income countries.","volume":"14","author":"Mauer","year":"2022","journal-title":"Sci Transl Med"},{"issue":"8","key":"zoi231141r45","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1038\/s41371-021-00572-x","article-title":"An analytical model of population level uncontrolled hypertension management: a care cascade approach.","volume":"36","author":"Datta","year":"2022","journal-title":"J Hum Hypertens"},{"issue":"3","key":"zoi231141r46","doi-asserted-by":"publisher","first-page":"602","DOI":"10.1161\/HYPERTENSIONAHA.118.11609","article-title":"Prevalence of hypertension and cardiovascular risk according to blood pressure thresholds used for diagnosis.","volume":"72","author":"Lamprea-Montealegre","year":"2018","journal-title":"Hypertension"},{"issue":"7","key":"zoi231141r47","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1016\/j.annepidem.2010.03.017","article-title":"Self-report as an indicator of incident disease.","volume":"20","author":"Oksanen","year":"2010","journal-title":"Ann Epidemiol"},{"key":"zoi231141r17","volume-title":"ICF. Clinical Anthropometric Biochemical (CAB) Manual: National Family Health Survey 2019-20","author":"International Institute for Population Sciences","year":"2019"},{"key":"zoi231141r36","volume-title":"Operational Guidelines: Prevention, Screening and Control of Common Non-Communicable Diseases: Hypertension, Diabetes and Common Cancers (Oral, Breast, Cervix)","author":"Ministry of Health & Family Welfare","year":"2018"},{"key":"zoi231141r1","unstructured":"World Health Organization. The global health observatory: blood pressure\/hypertension. Accessed March 5, 2023. https:\/\/www.who.int\/data\/gho\/indicator-metadata-registry\/imr-details\/3155"},{"key":"zoi231141r2","unstructured":"United Nations, Department of Economic and Social Affairs. The 17 goals. Accessed February 2, 2023. https:\/\/sdgs.un.org\/goals"},{"key":"zoi231141r5","unstructured":"World Health Organization. Hypertension. August 25, 2021. Accessed January 30, 2023. https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/hypertension"},{"key":"zoi231141r7","unstructured":"Ministry of Health & Family Welfare, Government of India. National Programme for Prevention & Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke (NPCDCS). Accessed October 14, 2022. https:\/\/nhm.gov.in\/index1.php?lang=1&level=2&sublinkid=1048&lid=604"},{"key":"zoi231141r8","unstructured":"Press Information Bureau, Government of India. More than 27.31 lakh people participated in Ayushman Bharat block level health melas in 3204 blocks organized across 33 states\/UTs in a week. April 26, 2022. Accessed January 22, 2023. https:\/\/pib.gov.in\/PressReleseDetail.aspx?PRID=1820229?"},{"key":"zoi231141r13","unstructured":"Ministry of Health & Family Welfare, Government of India. Training manual for NCD Programme managers at state and district level: National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Diseases and Stroke (NPCDCS). 2017. Accessed February 2, 2023. https:\/\/main.mohfw.gov.in\/sites\/default\/files\/Training%20Manual%20for%20NCD%20Programme%20Managers%20at%20State%20and%20Disctrict%20Level_0.pdf"},{"key":"zoi231141r14","unstructured":"Ministry of Health & Family Welfare, Government of India; World Health Organization. National multisectoral action plan for prevention and control of common noncommunicable diseases (2017-2022). Accessed December 7, 2022. https:\/\/main.mohfw.gov.in\/sites\/default\/files\/National Multisectoral Action Plan %28NMAP%29 for Prevention and Control of Common NCDs %282017-22%29_1.pdf"},{"key":"zoi231141r16","unstructured":"Government of India, Ministry of Health and Family Welfare. National Family Health Survey (NFHS-5), 2019-21: India report. 2022. Accessed August 28, 2022. https:\/\/dhsprogram.com\/pubs\/pdf\/FR375\/FR375.pdf"},{"key":"zoi231141r18","unstructured":"Ministry of Health & Family Welfare, Government of India. Standard treatment guidelines: hypertension: screening, diagnosis, assessment, and management of primary hypertension in adults in India. February 2016. Accessed October 12, 2022. https:\/\/nhm.gov.in\/images\/pdf\/guidelines\/nrhm-guidelines\/stg\/Hypertension_full.pdf"},{"key":"zoi231141r19","unstructured":"Rutstein? SO. The DHS Wealth Index: approaches for rural and urban areas. United States Agency for International Development. 2008. Accessed November 24, 2021. https:\/\/dhsprogram.com\/pubs\/pdf\/wp60\/wp60.pdf"},{"key":"zoi231141r21","unstructured":"Hypertension care cascade, 2019-21. Emory University, Emory Global Diabetes Research Center. Accessed September 14, 2021. https:\/\/egdrc-precision-medicine.shinyapps.io\/hypertension_cascade\/"},{"key":"zoi231141r23","unstructured":"Ellis GF, Lumley T, Zoltak T, Schneider B, Krivitsky PN. \u2019dplyr\u2019-Like syntax for summary statistics of survey data. 2022. Accessed September 20, 2022. https:\/\/cran.r-project.org\/web\/packages\/srvyr\/srvyr.pdf"},{"key":"zoi231141r24","unstructured":"Lumley T. Analysis of complex survey samples. 2022. Accessed September 20, 2022. https:\/\/cran.r-project.org\/web\/packages\/survey\/survey.pdf"},{"key":"zoi231141r25","unstructured":"Chang W, Cheng J, Allaire JJ, et al. shiny: Web application framework for R. 2023. Accessed July 25, 2022. https:\/\/rdrr.io\/cran\/shiny\/"},{"key":"zoi231141r26","unstructured":"The World Bank. World development indicators. Accessed September 7, 2022. https:\/\/databank.worldbank.org\/source\/world-development-indicators"},{"key":"zoi231141r31","unstructured":"International Institute of Population Studies. District Level Household & Facility Survey-4: 2012-14. 2014. Accessed May 7, 2022. http:\/\/rchiips.org\/DLHS-4.html"},{"key":"zoi231141r35","unstructured":"National Health Systems Resource Centre. Quality assurance scores and key performance indicators. Accessed February 28, 2023. https:\/\/nhsrcindia.org\/quality-assurance-scores-and-key-performance-indicators"},{"key":"zoi231141r39","unstructured":"Ministry of Health & Family Welfare, Government of India. Ayushman Bharat Comprehensive Primary Healthcare: population-based NCD screening program. 2019. Accessed January 5, 2019. https:\/\/nhm.gov.in\/New_Updates_2018\/Presentation\/Goa_19th_20th_August_2019\/CPHC_NCD_Aug_19.pdf"}],"container-title":["JAMA Network Open"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/articlepdf\/2810984\/varghese_2023_oi_231141_1697472759.00805.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T11:01:27Z","timestamp":1698058887000},"score":1,"resource":{"primary":{"URL":"https:\/\/jamanetwork.com\/journals\/jamanetworkopen\/fullarticle\/2810984"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,23]]},"references-count":47,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2023,10,2]]}},"URL":"https:\/\/doi.org\/10.1001\/jamanetworkopen.2023.39098","relation":{},"ISSN":["2574-3805"],"issn-type":[{"value":"2574-3805","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,23]]}}}