{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T12:38:58Z","timestamp":1786451938260,"version":"build-2736575974"},"reference-count":45,"publisher":"BMJ","issue":"8","license":[{"start":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T00:00:00Z","timestamp":1786406400000},"content-version":"unspecified","delay-in-days":10,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["BMJ Open"],"accepted":{"date-parts":[[2026,7,22]]},"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Inappropriate and broad-spectrum antibiotic use contributes to antimicrobial resistance (AMR) and higher healthcare costs. In Saudi Arabia, despite ongoing antimicrobial stewardship efforts, comprehensive real-world evidence on antibiotic prescribing patterns remains limited. This study aimed to evaluate antibiotic prescribing among insured (Daman) beneficiaries in Saudi Arabia and benchmark against international standards.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>Retrospective analysis of deidentified health insurance claims from the National Platform for Health and Insurance Exchange Services (NPHIES), covering 1 November 2023\u201331 October 2024.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting<\/jats:title>\n                    <jats:p>Antibiotic prescriptions were identified within claims and linked to diagnostic codes using the International Classification of Diseases, Tenth Revision, Australian Modification (ICD-10-AM) to determine clinical indications for use.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants<\/jats:title>\n                    <jats:p>Among 4.02\u2009million claimants, 8.3\u2009million antibiotic prescriptions were identified.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Primary and secondary outcome measures<\/jats:title>\n                    <jats:p>Antibiotic claims were mapped to the Saudi Food and Drug Authority (SFDA) drug list. Hospital antibiotic consumption was expressed as defined daily doses (DDD) per 100 patient-days for five selected inpatient antibiotics, whereas overall antibiotic consumption (in both community and hospital settings) was expressed as DDD per 1000 insured persons per day. Treatment duration, prescriber specialty and patient demographics were measured. Appropriateness of antimicrobial prescribing for respiratory tract infections was assessed using Healthcare Effectiveness Data and Information Set (HEDIS) metrics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Age-stratified and sex-stratified antibiotic prescription rates showed disproportionately high use in male infants (509.6 prescriptions per 1000) and older males (641.9 prescriptions per 1000). General practitioners accounted for 80% of prescriptions. Broad-spectrum beta-lactams, particularly amoxicillin\u2013clavulanate, predominated. Overall antibiotic consumption was 11.63 DDD per 1000 insured persons per day, comparable to European Surveillance of Antimicrobial Consumption Network (ESAC-Net) outpatient benchmarks. Mean treatment durations ranged 8\u201314 days, exceeding global stewardship recommendations. HEDIS indicators revealed overprescribing, particularly for upper respiratory tract infections.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This is the first claim-based analysis of antibiotic prescribing patterns among Daman beneficiaries in Saudi Arabia. Decision support systems, artificial intelligence-driven audits and targeted education could optimise prescribing, reduce AMR and inform policy.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2026-118941","type":"journal-article","created":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T12:05:21Z","timestamp":1786449921000},"page":"e118941","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Real-world evidence on antibiotic use among privately insured beneficiaries in Saudi Arabia: a retrospective analysis of claims data"],"prefix":"10.1136","volume":"16","author":[{"given":"Shabab","family":"Alghamdi","sequence":"first","affiliation":[{"name":"Council of Health Insurance, Riyadh, Riyadh Province, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ibrahim Abdulrahman","family":"Aljuffali","sequence":"additional","affiliation":[{"name":"Council of Health Insurance, Riyadh, Riyadh Province, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmed M.","family":"AlDammas","sequence":"additional","affiliation":[{"name":"Council of Health Insurance, Riyadh, Riyadh Province, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nebras","family":"Abu Alhamayel","sequence":"additional","affiliation":[{"name":"Council of Health Insurance, Riyadh, Riyadh Province, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammed","family":"Jumaah","sequence":"additional","affiliation":[{"name":"Itkan Consulting, Riyadh, Riyadh Province, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0190-2295","authenticated-orcid":false,"given":"Myriam","family":"Bechwati","sequence":"additional","affiliation":[{"name":"Center of Clinical, Health Economics, and Outcomes Research, Dubai, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joelle","family":"Barhoun","sequence":"additional","affiliation":[{"name":"Center of Clinical, Health Economics, and Outcomes Research, Dubai, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saeed Mastour","family":"Alshahrani","sequence":"additional","affiliation":[{"name":"Department of Public Health, King Khalid University, Abha, Asir, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nada","family":"Alagil","sequence":"additional","affiliation":[{"name":"Council of Health Insurance, Riyadh, Riyadh Province, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2026,8,11]]},"reference":[{"key":"2026081105051236000_16.8.e118941.1","unstructured":"Shrestha J , Zahra F , Cannady J . 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