Beth I. Wallace, Bryant R. England, Joshua F. Baker, Michael D. George, Brian C. Sauer, Jorge Rojas, Punyasha Roul, Katherine D. Wysham, Hannah Brubeck, Isaac Smith, Liron Caplan, Paul A. Monach, Gail S. Kerr, Gary Kunkel, Tawnie Braaten, Ted R. Mikuls, Grant W. Cannon
{"title":"美国类风湿关节炎退伍军人口服强的松自我报告使用管理药房协议。","authors":"Beth I. Wallace, Bryant R. England, Joshua F. Baker, Michael D. George, Brian C. Sauer, Jorge Rojas, Punyasha Roul, Katherine D. Wysham, Hannah Brubeck, Isaac Smith, Liron Caplan, Paul A. Monach, Gail S. Kerr, Gary Kunkel, Tawnie Braaten, Ted R. Mikuls, Grant W. Cannon","doi":"10.1002/acr.25580","DOIUrl":null,"url":null,"abstract":"<div>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>Administrative claims are used to evaluate oral glucocorticoid use in rheumatoid arthritis (RA), despite limited evidence to support accuracy. We aimed to evaluate the performance of claims-based algorithms for glucocorticoid use compared to self-report in an RA population.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Participants with RA enrolled at seven Veterans Affairs Rheumatoid Arthritis (VARA) Registry sites were asked six questions as part of clinical care assessing current prednisone use and dose, recent use, “stockpiling,” and receiving prednisone outside the Department of Veterans Affairs (VA). Algorithms using VA prescription claims operationalized current use (active prescription on date of self-report assessment), current dose (that prescription's mean dose), and recent use (active course overlapping the prior 30 or 90 days). We assessed performance characteristics and agreement, benchmarked on self-report.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Of 284 participants, 13% reported current prednisone use and 20% reported 90-day use. Sensitivity, specificity, positive predictive value, and negative predictive value were 0.70, 0.98, 0.84, and 0.96, respectively, for current use and 0.71, 0.92, 0.72, and 0.92, respectively, for 90-day use. Cohen's κ was 0.68 for current use and 0.63 for 90-day use. Among participants reporting ≤5 mg/day, agreement for dose was high (weighted κ 0.67). One in four participants reported a stockpile, and one in four reported receiving prednisone from a non-VA provider.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Algorithms derived from VA claims detecting prednisone prescriptions have high validity compared to patient self-report. The modest sensitivity of these algorithms may reflect stockpiling and non-VA prescriptions. These findings form a basis for contextualizing real-world studies of glucocorticoid use in RA and improve clinical estimation of glucocorticoid use not captured in claims.</p>\n </section>\n </div>","PeriodicalId":8406,"journal":{"name":"Arthritis Care & Research","volume":"77 11","pages":"1350-1358"},"PeriodicalIF":3.3000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12233313/pdf/","citationCount":"0","resultStr":"{\"title\":\"Agreement of Administrative Pharmacy Dispensing With Self-Reported Use of Oral Prednisone in US Veterans With Rheumatoid Arthritis\",\"authors\":\"Beth I. Wallace, Bryant R. England, Joshua F. Baker, Michael D. George, Brian C. Sauer, Jorge Rojas, Punyasha Roul, Katherine D. Wysham, Hannah Brubeck, Isaac Smith, Liron Caplan, Paul A. Monach, Gail S. Kerr, Gary Kunkel, Tawnie Braaten, Ted R. Mikuls, Grant W. Cannon\",\"doi\":\"10.1002/acr.25580\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>Administrative claims are used to evaluate oral glucocorticoid use in rheumatoid arthritis (RA), despite limited evidence to support accuracy. We aimed to evaluate the performance of claims-based algorithms for glucocorticoid use compared to self-report in an RA population.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Participants with RA enrolled at seven Veterans Affairs Rheumatoid Arthritis (VARA) Registry sites were asked six questions as part of clinical care assessing current prednisone use and dose, recent use, “stockpiling,” and receiving prednisone outside the Department of Veterans Affairs (VA). Algorithms using VA prescription claims operationalized current use (active prescription on date of self-report assessment), current dose (that prescription's mean dose), and recent use (active course overlapping the prior 30 or 90 days). We assessed performance characteristics and agreement, benchmarked on self-report.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Of 284 participants, 13% reported current prednisone use and 20% reported 90-day use. Sensitivity, specificity, positive predictive value, and negative predictive value were 0.70, 0.98, 0.84, and 0.96, respectively, for current use and 0.71, 0.92, 0.72, and 0.92, respectively, for 90-day use. Cohen's κ was 0.68 for current use and 0.63 for 90-day use. Among participants reporting ≤5 mg/day, agreement for dose was high (weighted κ 0.67). One in four participants reported a stockpile, and one in four reported receiving prednisone from a non-VA provider.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Algorithms derived from VA claims detecting prednisone prescriptions have high validity compared to patient self-report. The modest sensitivity of these algorithms may reflect stockpiling and non-VA prescriptions. 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Agreement of Administrative Pharmacy Dispensing With Self-Reported Use of Oral Prednisone in US Veterans With Rheumatoid Arthritis
Objective
Administrative claims are used to evaluate oral glucocorticoid use in rheumatoid arthritis (RA), despite limited evidence to support accuracy. We aimed to evaluate the performance of claims-based algorithms for glucocorticoid use compared to self-report in an RA population.
Methods
Participants with RA enrolled at seven Veterans Affairs Rheumatoid Arthritis (VARA) Registry sites were asked six questions as part of clinical care assessing current prednisone use and dose, recent use, “stockpiling,” and receiving prednisone outside the Department of Veterans Affairs (VA). Algorithms using VA prescription claims operationalized current use (active prescription on date of self-report assessment), current dose (that prescription's mean dose), and recent use (active course overlapping the prior 30 or 90 days). We assessed performance characteristics and agreement, benchmarked on self-report.
Results
Of 284 participants, 13% reported current prednisone use and 20% reported 90-day use. Sensitivity, specificity, positive predictive value, and negative predictive value were 0.70, 0.98, 0.84, and 0.96, respectively, for current use and 0.71, 0.92, 0.72, and 0.92, respectively, for 90-day use. Cohen's κ was 0.68 for current use and 0.63 for 90-day use. Among participants reporting ≤5 mg/day, agreement for dose was high (weighted κ 0.67). One in four participants reported a stockpile, and one in four reported receiving prednisone from a non-VA provider.
Conclusion
Algorithms derived from VA claims detecting prednisone prescriptions have high validity compared to patient self-report. The modest sensitivity of these algorithms may reflect stockpiling and non-VA prescriptions. These findings form a basis for contextualizing real-world studies of glucocorticoid use in RA and improve clinical estimation of glucocorticoid use not captured in claims.
期刊介绍:
Arthritis Care & Research, an official journal of the American College of Rheumatology and the Association of Rheumatology Health Professionals (a division of the College), is a peer-reviewed publication that publishes original research, review articles, and editorials that promote excellence in the clinical practice of rheumatology. Relevant to the care of individuals with rheumatic diseases, major topics are evidence-based practice studies, clinical problems, practice guidelines, educational, social, and public health issues, health economics, health care policy, and future trends in rheumatology practice.