{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T18:16:20Z","timestamp":1783016180604,"version":"3.54.6"},"reference-count":56,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T00:00:00Z","timestamp":1771286400000},"content-version":"vor","delay-in-days":16,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Science Reports"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aims<\/jats:title>\n                    <jats:p>India has nearly 90 million (10.5%) patients living with type 2 diabetes mellitus (T2DM) with a high burden of suboptimal medication adherence. This systematic review and meta\u2010analysis aimed to synthesize the determinants of medication adherence in Indian patients with T2DM, estimate the pooled prevalence of adherence, and formulate evidence\u2010based recommendations for public health policy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We conducted a systematic review and meta\u2010analysis of observational and experimental studies from India, published between January 2020 and December 2024. Electronic databases (PubMed, Scopus, Web of Science) were searched for studies reporting the proportion of patients reporting poor adherence to anti\u2010diabetic medications.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 534 articles were identified after removing duplicates and assessed for eligibility, of which 16 studies were included in this SRMA. The pooled prevalence of medication non\u2010adherence among MMAS\u20108 using studies (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20094) was 48% (95% CI: 18%\u201379%), and, overall, among all the studies ranged from 11% to 68%. Predictors of poor adherence included older age, socio\u2010economic disadvantage, substance use, treatment complexity, psychological distress, polypharmacy, and health\u2010system access barriers. Information on comorbidity and multimorbidity was sparse. Furthermore, a key limitation was that studies using the Morisky adherence scales (MMAS\u20104\/8) did not report individual item responses, which precluded a granular analysis of specific reasons for non\u2010adherence. There were eight studies from South India and six from north and north\u2010eastern India, indicating a significant lack of geographic diversity.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Medication non\u2010adherence in patients with T2DM persists as a major public health challenge in India, further exacerbating the country's burgeoning diabetes epidemic. Strengthening primary care can address the primary factors contributing to significant non\u2010adherence in this population.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/hsr2.71845","type":"journal-article","created":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T07:54:47Z","timestamp":1771401287000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Medication Adherence and its Predictors in Patients With Type 2 Diabetes Mellitus in India: A Systematic Review and Meta\u2010Analysis of Current Evidence"],"prefix":"10.1002","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1336-8720","authenticated-orcid":false,"given":"Saurav","family":"Basu","sequence":"first","affiliation":[{"name":"Department of Community Medicine ESI PGIMSR &amp; ESIC Medical College and Hospital Kolkata India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4864-8159","authenticated-orcid":false,"given":"Trina","family":"Sengupta","sequence":"additional","affiliation":[{"name":"Department of Community Medicine ESI PGIMSR &amp; ESIC Medical College and Hospital Kolkata India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9610-1479","authenticated-orcid":false,"given":"Satyajit","family":"Kundu","sequence":"additional","affiliation":[{"name":"Public Health, School of Medicine and Dentistry Griffith University Gold Coast Queensland Australia"},{"name":"ARCED Foundation Dhaka Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,2,17]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrdp.2015.19"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(23)01301-6"},{"key":"e_1_2_11_4_1","unstructured":"International Diabetes Federation. 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