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Improving the success of mailed letter intervention programs to influence prescribing behaviors: a review.

机译:提高邮寄信件干预计划的成功以影响处方行为:回顾。

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Educational interventions have long been used as a means of influencing prescribing behavior. Various techniques including educational mailings, academic detailing, prescriber feedback with or without disclosing patient-identifying data, and supplemental patient information have been used to promote appropriate prescribing habits, reduce costs, and optimize patient care. While the effects of educational intervention programs are widely reported, little information is available regarding the effectiveness of various mailed intervention techniques.To review the effectiveness of mailed intervention programs and identify factors that may promote successful outcomes.A literature search was conducted via PubMed for reports of mailed intervention programs published through May 2012. Specific search terms included "drug utilization review," "drug utilization," "Medicaid," "prescribing feedback," "mailed physician intervention," and "mailed physician communications." Identified publications that met the following criteria were selected for inclusion: (a) evaluated printed educational materials disseminated via postal mail, (b) occurred in an outpatient setting, and (c) measured intervention impact on prescribing patterns, health care utilization, or economic outcomes. Publications that met all 3 criteria were abstracted for intervention strategy, follow-up period, data source, intervention target, prescriber acceptance of intervention, and effect on prescribing patterns, health care utilization, and economic outcomes.A total of 40 published reports regarding 39 unique interventions met inclusion criteria. The majority (34/39 [87.2%]) of studies were conducted in state or federally funded programs; only 5 programs involved private insurers. All programs used follow-up periods of ≤12 months after final intervention mailing. A total of 26 of the 39 unique interventions reported a positive impact on at least 1 target outcome. Programs that included a second recipient such as pharmacists (n = 4) reported a greater impact as compared with interventions mailed to prescribers alone. Programs that provided patient-identifying data had a higher success rate than those that supplied prescriber feedback and/or educational materials (21/25 [84.0%] vs. 5/14 [35.7%]); it should be noted that 2 of the 5 successful programs that provided nonpatient-identifying materials also used academic detailing. Programs that sent education material and/or prescriber feedback pertaining to multiple medication classes or disease states had minimal impact on prescribing patterns (n = 4). However, targeting 1 specific disease or medication supported by appropriate evidence resulted in favorable change in a short period of time. Additionally, providing recommendations that were supported by widely accepted clinical guidelines or literature were also associated with a high rate of success. A subset of programs that sought to evaluate health care utilization (n=5) and economic impact (n = 9) observed little change in measured outcomes. Evaluation of prescriber response forms conducted by 7 programs revealed that changes in therapy occurred in approximately 50% of patients with prescribers who intended to accept intervention recommendations.Though the degree of heterogeneity between articles prevents provision of definite results, it appears that a well-constructed mailed intervention program has the potential to evoke significant changes in prescribing patterns. Prescribers appear to be receptive to mailed interventions; however, there are limited data to determine the association between acceptance and actual prescribing change. Future research should focus on identifying barriers that may prohibit acceptance of recommendations from translating into changes in therapy. Additionally, future projects should include longer assessment periods to determine the duration of impact following final intervention mailing and potential effect on health care and economic outcomes.
机译:长期以来,教育干预一直被用作影响处方行为的手段。已经使用了各种技术,包括教育性邮件,学术细节,有无患者识别数据的处方反馈以及患者补充信息,以促进适当的开药习惯,降低成本并优化患者护理。虽然教育干预计划的效果被广泛报道,但有关各种邮寄干预技术的有效性的信息很少。要审查邮寄干预计划的有效性并确定可能促进成功结果的因素,通过PubMed进行了文献检索以获取报告截止到2012年5月发布的邮寄干预计划。特定搜索词包括“药物利用情况审查”,“药物利用情况”,“医疗补助”,“处方反馈”,“通过邮寄医生干预”和“通过邮寄医生交流”。选择符合以下标准的经鉴定的出版物包括在内:(a)通过邮寄分发的经过评估的印刷教育材料,(b)在门诊环境中发生,并且(c)测量了干预措施对处方方式,医疗保健利用或经济的影响结果。符合所有3个标准的出版物均被摘录,包括干预策略,随访时间,数据来源,干预目标,处方者对干预的接受程度以及对处方方式,医疗保健利用和经济成果的影响。共发表40篇报告,涉及39篇独特的干预措施符合纳入标准。大部分研究(34/39 [87.2%])是在州或联邦资助的计划中进行的;只有5个计划涉及私人保险公司。在最终干预邮件寄出后,所有程序的随访期均≤12个月。 39种独特的干预措施中,共有26种报告了对至少1种目标结果的积极影响。与仅邮寄给开处方者的干预措施相比,包括第二名接受者(例如药剂师)的计划报告的影响更大。提供患者识别数据的程序的成功率高于提供处方者反馈和/或教育材料的程序(21/25 [84.0%]比5/14 [35.7%]);应该注意的是,在提供非患者识别材料的5个成功计划中,有2个也使用了学术细节。发送有关多种药物类别或疾病状态的教育材料和/或处方者反馈的程序对处方方式的影响最小(n = 4)。但是,针对1种特定疾病或药物并辅以适当证据会导致在短时间内发生有利变化。此外,提供被广泛接受的临床指南或文献支持的建议也与成功率高有关。试图评估卫生保健利用率(n = 5)和经济影响(n = 9)的计划的子集在可衡量的结果方面几乎没有变化。通过7个程序对处方药反应形式进行的评估表明,有意接受干预建议的处方药患者中约有50%的患者发生了治疗变化。尽管文章之间的异质性程度无法提供确定的结果,但似乎结构合理邮寄干预计划有可能引起处方方式的重大变化。开处方者似乎愿意接受邮寄的干预措施。但是,仅有有限的数据来确定验收与实际处方变更之间的关联。未来的研究应侧重于确定可能阻碍接受建议转化为治疗改变的障碍。此外,未来的项目应包括更长的评估期,以确定最终干预邮件寄出后的影响持续时间以及对医疗保健和经济成果的潜在影响。

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