{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T22:51:29Z","timestamp":1793659889783,"version":"4.5.1"},"reference-count":37,"publisher":"Royal College of General Practitioners","issue":"769","license":[{"start":{"date-parts":[[2019,2,12]],"date-time":"2019-02-12T00:00:00Z","timestamp":1549929600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Br J Gen Pract"],"accepted":{"date-parts":[[2026,4,6]]},"published-print":{"date-parts":[[2026,8,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Structured medication reviews (SMRs) were introduced in 2020 to address polypharmacy in patients most at risk of medicines-related harm.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To evaluate the impact of SMRs on prescribing in primary care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design and setting<\/jats:title>\n                    <jats:p>Retrospective observational cohort study of electronic health records from patients aged \u226565 years, prescribed \u22651 medications, and fulfilling the specific eligibility criteria for an SMR, registered at practices contributing data to the Oxford Clinical Informatics Digital Hub, between 1 April 2020 and 30 September 2022.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>The association between SMRs and prescription changes was examined by matching individuals who received an SMR to individuals who did not receive an SMR, according to age, sex, and primary care practice, using cumulative density sampling. Analyses were undertaken using adjusted logistic regression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Of 635 698 eligible patients, 82 285 (12.9%, 95% confidence interval [CI] = 12.9 to 13.0) received \u22651 SMR during the study observation period. In those prescribed potentially inappropriate drug combinations prior to an SMR, between 12.5% and 40.0% were corrected up to 3 months later. In matched analyses, SMRs were most strongly associated with an increase in new prescriptions of angiotensin-converting enzyme inhibitors (adjusted odds ratio [aOR] 1.56, 95% CI = 1.35 to 1.81), statins (aOR 1.78, 95% CI = 1.57 to 2.02), and antidepressants (aOR 1.45, 95% CI = 1.28 to 1.63). SMRs were also most strongly associated with stopping these drug classes in those previously prescribed treatment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>SMRs were associated with starting new medications and stopping existing prescriptions compared with usual care. Further work is needed to understand if these changes improved patient outcomes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3399\/bjgp.2025.0617","type":"journal-article","created":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T12:50:15Z","timestamp":1776343815000},"page":"e603-e612","source":"Crossref","is-referenced-by-count":3,"title":["Impact of structured medication reviews on prescribing in English primary care: a retrospective observational cohort study"],"prefix":"10.3399","volume":"76","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4461-8756","authenticated-orcid":false,"given":"James P","family":"Sheppard","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0626-7809","authenticated-orcid":false,"given":"Paul 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