Bayan M Hijazi, Ioana Popovici, Mohammad B Nusair, Goar Alvarez
{"title":"与SSRI药物依从性相关的模式和因素:一项使用药房索赔数据的回顾性研究","authors":"Bayan M Hijazi, Ioana Popovici, Mohammad B Nusair, Goar Alvarez","doi":"10.1093/jphsr/rmad041","DOIUrl":null,"url":null,"abstract":"Abstract Objectives To assess the patterns and risk factors associated with selective serotonin reuptake inhibitor (SSRI) medication adherence among enrollees of a multiple employer welfare beneficiary association operating in Florida. Methods This study used a pharmacy claims database for beneficiaries of the Independent Colleges and Universities Benefits Association. The sample of 2541 patients were enrollees who filled two or more consecutive SSRI prescriptions during the analysis period 2015–20. Adherence was measured as the proportion of days covered by a medication. Multiple logistic regression analysis was used to explore the relationship between sociodemographic, healthcare access, and clinical and medication-related factors and adherence. Key findings Adherence was associated with higher odds of being female [odds ratio (OR): 1.2, 95% confidence interval (CI): 0.995–1.464, P < .10] and higher pill burden (OR: 1.3, CI: 1.021–1.642, P< 0.05). Patients using only retail pharmacies (OR: 0.356, CI: 0.196–0.645, P < .01), having any out-of-pocket costs (OR: 0.552, CI: 0.348–0.875, P < .50), changing the prescriber over the duration of the treatment (OR: 0.708, CI: 0.589–0.851, P < .01), taking antihypertensive (OR: 0.708, CI: 0.5077–0.988, P < 0.50), and asthma (OR: 0.609, CI: 0.450–0.826, P < .01) medications were less likely to be adherent. Prescriber specialty was not found to be associated with adherence. Conclusion These findings can inform policymakers and healthcare insurance companies on barriers to medication access and recommend strategies to eliminate these barriers and design interventions to improve the adherence of groups at risk for nonadherence. Healthcare providers can identify patients who are less likely to be adherent and customize counseling interventions for these patients.","PeriodicalId":16705,"journal":{"name":"Journal of Pharmaceutical Health Services Research","volume":"26 1","pages":"0"},"PeriodicalIF":0.5000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Patterns and factors associated with SSRI medication adherence: a retrospective study using pharmacy claims data\",\"authors\":\"Bayan M Hijazi, Ioana Popovici, Mohammad B Nusair, Goar Alvarez\",\"doi\":\"10.1093/jphsr/rmad041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Objectives To assess the patterns and risk factors associated with selective serotonin reuptake inhibitor (SSRI) medication adherence among enrollees of a multiple employer welfare beneficiary association operating in Florida. Methods This study used a pharmacy claims database for beneficiaries of the Independent Colleges and Universities Benefits Association. The sample of 2541 patients were enrollees who filled two or more consecutive SSRI prescriptions during the analysis period 2015–20. Adherence was measured as the proportion of days covered by a medication. Multiple logistic regression analysis was used to explore the relationship between sociodemographic, healthcare access, and clinical and medication-related factors and adherence. Key findings Adherence was associated with higher odds of being female [odds ratio (OR): 1.2, 95% confidence interval (CI): 0.995–1.464, P < .10] and higher pill burden (OR: 1.3, CI: 1.021–1.642, P< 0.05). Patients using only retail pharmacies (OR: 0.356, CI: 0.196–0.645, P < .01), having any out-of-pocket costs (OR: 0.552, CI: 0.348–0.875, P < .50), changing the prescriber over the duration of the treatment (OR: 0.708, CI: 0.589–0.851, P < .01), taking antihypertensive (OR: 0.708, CI: 0.5077–0.988, P < 0.50), and asthma (OR: 0.609, CI: 0.450–0.826, P < .01) medications were less likely to be adherent. Prescriber specialty was not found to be associated with adherence. Conclusion These findings can inform policymakers and healthcare insurance companies on barriers to medication access and recommend strategies to eliminate these barriers and design interventions to improve the adherence of groups at risk for nonadherence. Healthcare providers can identify patients who are less likely to be adherent and customize counseling interventions for these patients.\",\"PeriodicalId\":16705,\"journal\":{\"name\":\"Journal of Pharmaceutical Health Services Research\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2023-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Pharmaceutical Health Services Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/jphsr/rmad041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pharmaceutical Health Services Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jphsr/rmad041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
摘要
【摘要】目的评估佛罗里达州一家多雇主福利受益人协会参保人员选择性血清素再摄取抑制剂(SSRI)药物依从性的模式和危险因素。方法本研究使用独立学院和大学福利协会受益人的药房索赔数据库。2541例患者是在2015 - 2020年分析期间连续服用两次或两次以上SSRI处方的入组患者。依从性以服药天数的比例来衡量。采用多元logistic回归分析探讨社会人口学、医疗保健可及性、临床和药物相关因素与依从性之间的关系。依从性与女性的高几率相关[优势比(OR): 1.2, 95%可信区间(CI): 0.995-1.464, P <[10.10]和较高的药丸负担(OR: 1.3, CI: 1.021-1.642, p&p;0.05)。仅使用零售药店的患者(OR: 0.356, CI: 0.196-0.645, P <0.01),有任何自付费用(OR: 0.552, CI: 0.348-0.875, P <0.50),在治疗期间改变处方者(OR: 0.708, CI: 0.589-0.851, P <0.01),服用抗高血压药物(OR: 0.708, CI: 0.5077 ~ 0.988, P <0.50),哮喘(OR: 0.609, CI: 0.450-0.826, P <.01)药物的依从性较低。未发现处方医师专业与依从性相关。结论这些发现可以为政策制定者和医疗保险公司提供药物获取障碍的信息,并建议消除这些障碍的策略和设计干预措施,以提高有不依从风险群体的依从性。医疗保健提供者可以识别不太可能坚持的患者,并为这些患者定制咨询干预措施。
Patterns and factors associated with SSRI medication adherence: a retrospective study using pharmacy claims data
Abstract Objectives To assess the patterns and risk factors associated with selective serotonin reuptake inhibitor (SSRI) medication adherence among enrollees of a multiple employer welfare beneficiary association operating in Florida. Methods This study used a pharmacy claims database for beneficiaries of the Independent Colleges and Universities Benefits Association. The sample of 2541 patients were enrollees who filled two or more consecutive SSRI prescriptions during the analysis period 2015–20. Adherence was measured as the proportion of days covered by a medication. Multiple logistic regression analysis was used to explore the relationship between sociodemographic, healthcare access, and clinical and medication-related factors and adherence. Key findings Adherence was associated with higher odds of being female [odds ratio (OR): 1.2, 95% confidence interval (CI): 0.995–1.464, P < .10] and higher pill burden (OR: 1.3, CI: 1.021–1.642, P< 0.05). Patients using only retail pharmacies (OR: 0.356, CI: 0.196–0.645, P < .01), having any out-of-pocket costs (OR: 0.552, CI: 0.348–0.875, P < .50), changing the prescriber over the duration of the treatment (OR: 0.708, CI: 0.589–0.851, P < .01), taking antihypertensive (OR: 0.708, CI: 0.5077–0.988, P < 0.50), and asthma (OR: 0.609, CI: 0.450–0.826, P < .01) medications were less likely to be adherent. Prescriber specialty was not found to be associated with adherence. Conclusion These findings can inform policymakers and healthcare insurance companies on barriers to medication access and recommend strategies to eliminate these barriers and design interventions to improve the adherence of groups at risk for nonadherence. Healthcare providers can identify patients who are less likely to be adherent and customize counseling interventions for these patients.