Pharmaceutical industry information and promotional strategies aimed at prescribers.

IF 11.1 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Barbara Mintzes, Joel Lexchin, Quinn Grundy, Alice Fabbri, Geoffrey Kp Spurling, Riaz Qureshi, Lisa Bero
{"title":"Pharmaceutical industry information and promotional strategies aimed at prescribers.","authors":"Barbara Mintzes, Joel Lexchin, Quinn Grundy, Alice Fabbri, Geoffrey Kp Spurling, Riaz Qureshi, Lisa Bero","doi":"10.1002/14651858.CD013423.pub3","DOIUrl":null,"url":null,"abstract":"<p><strong>Rationale: </strong>The influence of pharmaceutical company promotion on prescribing and its impacts have been subject to extensive debate. This review helps to clarify whether and how interactions between clinicians and the pharmaceutical industry influence prescribing.</p><p><strong>Objectives: </strong>Main objective: to assess the effects, using evidence from randomised trials, and the associations, using evidence from non-randomised studies, of pharmaceutical industry promotional interactions with prescribers (including provision of information, payments, gifts, and samples), compared to no interactions, on the appropriateness, quantity, and cost of prescribed medicines, and on formulary requests.</p><p><strong>Search methods: </strong>We searched CENTRAL, MEDLINE, Embase, one other database, and two trial registers to January 2025.</p><p><strong>Eligibility criteria: </strong>We included randomised trials, non-randomised trials, controlled before-after studies with at least two intervention sites and at least two control sites, interrupted time series studies with a clearly defined intervention time point and at least three data points both before and after the intervention time, and cross-sectional studies comparing exposure levels and outcomes at a single time point. We also included controlled cohort studies comparing outcomes over time, and case-control studies assessing the effects of past exposures. We included cross-sectional, cohort, and case-control studies if the data covered an entire population or a random sample of a defined population, with a response rate of at least 60%.</p><p><strong>Outcomes: </strong>The critical outcomes were prescribing appropriateness, quantity, and cost, and formulary requests by clinicians exposed to interactions with pharmaceutical companies compared to clinicians not exposed or with less exposure.</p><p><strong>Risk of bias: </strong>We used Cochrane's RoB 2 tool to assess bias in randomised controlled trials (RCTs), and the Joanna Briggs Institute tool for cross-sectional studies to assess bias in cross-sectional, cohort, and nested case-control studies. We used study design-specific criteria developed by the Cochrane Effective Practice and Organisation of Care (EPOC) Group to assess bias in controlled before-after studies and interrupted time series studies.</p><p><strong>Synthesis methods: </strong>We grouped studies into four groups based on exposure type - advertising and education; gifts and payments; free samples; and conflict-of-interest policies - to analyse outcomes. We presented the data in harvest plots and narratively summarised the results. Due to heterogeneity, we were unable to conduct any meta-analyses. We used GRADE to assess the certainty of evidence.</p><p><strong>Included studies: </strong>We included 93 studies. Most studies (82/93, 88%) were conducted in the USA; 11 were conducted in the European Union or the UK. Sixty of 93 studies (65%) were cross-sectional, along with 23 controlled cohort studies, four controlled before-after studies, four interrupted time series, one nested case-control, and one RCT. Sixty-two studies examined payments, gifts, or other transfers of value; 16 examined advertising or educational activities (primarily delivered through pharmaceutical industry sales representative visits); seven examined free drug samples; and eight examined conflict-of-interest policies, such as restrictions on sales representative visits or the acceptance of gifts and samples.</p><p><strong>Synthesis of results: </strong>Exposure to pharmaceutical company advertising or education may be associated with decreased prescribing appropriateness (6 studies; 1335 prescribers) and increased prescribing costs (2 studies; 986 prescribers), and is probably associated with an increased quantity of prescriptions (7 studies; 151,399 prescribers), compared to no or less exposure. Prescribers' receipt of gifts and payments from pharmaceutical companies is associated with decreased prescribing appropriateness (10 studies; 2,941,948 prescribers), an increased quantity of prescriptions (39 studies; 3,858,871 prescribers), and is probably associated with increased prescribing costs (25 studies; 2,505,292 prescribers), compared to receiving no or fewer gifts and payments. Evidence on associations between receipt of free samples and prescribing appropriateness (1 study; 10 practices), quantity (4 studies; 150,050 prescribers), and costs (4 studies; 2508 prescribers) is very uncertain. Institutional conflict-of-interest policies are probably associated with improved prescribing appropriateness (2 studies; 3065 prescribers), may be associated with a decreased quantity of prescriptions (6 studies; 110,470 prescribers), and have uncertain effects on costs (2 studies; 33,975 participants), compared to no or more lenient conflict-of-interest policies. There was little evidence examining formulary requests (1 study; 105 prescribers). Prescribers' exposure to pharmaceutical industry advertising and education and their receipt of gifts and payments may be associated with increased formulary requests, but the evidence is very uncertain. We rated two outcomes from the one included RCT as having an overall high risk of bias. The principal risk-of-bias concerns for the cross-sectional and cohort studies related to the identification of confounding factors. For controlled before-after studies, the main concerns were baseline comparability and incomplete outcome data. We judged most domains for interrupted time series studies to be at low risk of bias. Overall, we downgraded the certainty of the evidence for risk of bias and imprecision, and upgraded it for dose-response effects and large effect sizes.</p><p><strong>Authors' conclusions: </strong>Overall, we found that promotional interactions clinicians have with pharmaceutical companies are probably associated with harmful outcomes: less appropriate prescribing, greater quantity of medicines prescribed or provided, higher prescribing costs, and a greater likelihood of recommending hospital formulary additions of the company's drugs. Conversely, in most analyses of organisational conflict-of-interest policies restricting the pharmaceutical industry's promotional interactions with clinicians, restrictions are associated with beneficial outcomes on prescribing appropriateness, quantity, and costs. These findings have implications for cost and quality of care.</p><p><strong>Funding: </strong>There was no funding for this review.</p><p><strong>Registration: </strong>The protocol is available at the following link: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD013423.pub2/full.</p>","PeriodicalId":10473,"journal":{"name":"Cochrane Database of Systematic Reviews","volume":"10 ","pages":"CD013423"},"PeriodicalIF":11.1000,"publicationDate":"2026-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13649351/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cochrane Database of Systematic Reviews","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/14651858.CD013423.pub3","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

Abstract

Rationale: The influence of pharmaceutical company promotion on prescribing and its impacts have been subject to extensive debate. This review helps to clarify whether and how interactions between clinicians and the pharmaceutical industry influence prescribing.

Objectives: Main objective: to assess the effects, using evidence from randomised trials, and the associations, using evidence from non-randomised studies, of pharmaceutical industry promotional interactions with prescribers (including provision of information, payments, gifts, and samples), compared to no interactions, on the appropriateness, quantity, and cost of prescribed medicines, and on formulary requests.

Search methods: We searched CENTRAL, MEDLINE, Embase, one other database, and two trial registers to January 2025.

Eligibility criteria: We included randomised trials, non-randomised trials, controlled before-after studies with at least two intervention sites and at least two control sites, interrupted time series studies with a clearly defined intervention time point and at least three data points both before and after the intervention time, and cross-sectional studies comparing exposure levels and outcomes at a single time point. We also included controlled cohort studies comparing outcomes over time, and case-control studies assessing the effects of past exposures. We included cross-sectional, cohort, and case-control studies if the data covered an entire population or a random sample of a defined population, with a response rate of at least 60%.

Outcomes: The critical outcomes were prescribing appropriateness, quantity, and cost, and formulary requests by clinicians exposed to interactions with pharmaceutical companies compared to clinicians not exposed or with less exposure.

Risk of bias: We used Cochrane's RoB 2 tool to assess bias in randomised controlled trials (RCTs), and the Joanna Briggs Institute tool for cross-sectional studies to assess bias in cross-sectional, cohort, and nested case-control studies. We used study design-specific criteria developed by the Cochrane Effective Practice and Organisation of Care (EPOC) Group to assess bias in controlled before-after studies and interrupted time series studies.

Synthesis methods: We grouped studies into four groups based on exposure type - advertising and education; gifts and payments; free samples; and conflict-of-interest policies - to analyse outcomes. We presented the data in harvest plots and narratively summarised the results. Due to heterogeneity, we were unable to conduct any meta-analyses. We used GRADE to assess the certainty of evidence.

Included studies: We included 93 studies. Most studies (82/93, 88%) were conducted in the USA; 11 were conducted in the European Union or the UK. Sixty of 93 studies (65%) were cross-sectional, along with 23 controlled cohort studies, four controlled before-after studies, four interrupted time series, one nested case-control, and one RCT. Sixty-two studies examined payments, gifts, or other transfers of value; 16 examined advertising or educational activities (primarily delivered through pharmaceutical industry sales representative visits); seven examined free drug samples; and eight examined conflict-of-interest policies, such as restrictions on sales representative visits or the acceptance of gifts and samples.

Synthesis of results: Exposure to pharmaceutical company advertising or education may be associated with decreased prescribing appropriateness (6 studies; 1335 prescribers) and increased prescribing costs (2 studies; 986 prescribers), and is probably associated with an increased quantity of prescriptions (7 studies; 151,399 prescribers), compared to no or less exposure. Prescribers' receipt of gifts and payments from pharmaceutical companies is associated with decreased prescribing appropriateness (10 studies; 2,941,948 prescribers), an increased quantity of prescriptions (39 studies; 3,858,871 prescribers), and is probably associated with increased prescribing costs (25 studies; 2,505,292 prescribers), compared to receiving no or fewer gifts and payments. Evidence on associations between receipt of free samples and prescribing appropriateness (1 study; 10 practices), quantity (4 studies; 150,050 prescribers), and costs (4 studies; 2508 prescribers) is very uncertain. Institutional conflict-of-interest policies are probably associated with improved prescribing appropriateness (2 studies; 3065 prescribers), may be associated with a decreased quantity of prescriptions (6 studies; 110,470 prescribers), and have uncertain effects on costs (2 studies; 33,975 participants), compared to no or more lenient conflict-of-interest policies. There was little evidence examining formulary requests (1 study; 105 prescribers). Prescribers' exposure to pharmaceutical industry advertising and education and their receipt of gifts and payments may be associated with increased formulary requests, but the evidence is very uncertain. We rated two outcomes from the one included RCT as having an overall high risk of bias. The principal risk-of-bias concerns for the cross-sectional and cohort studies related to the identification of confounding factors. For controlled before-after studies, the main concerns were baseline comparability and incomplete outcome data. We judged most domains for interrupted time series studies to be at low risk of bias. Overall, we downgraded the certainty of the evidence for risk of bias and imprecision, and upgraded it for dose-response effects and large effect sizes.

Authors' conclusions: Overall, we found that promotional interactions clinicians have with pharmaceutical companies are probably associated with harmful outcomes: less appropriate prescribing, greater quantity of medicines prescribed or provided, higher prescribing costs, and a greater likelihood of recommending hospital formulary additions of the company's drugs. Conversely, in most analyses of organisational conflict-of-interest policies restricting the pharmaceutical industry's promotional interactions with clinicians, restrictions are associated with beneficial outcomes on prescribing appropriateness, quantity, and costs. These findings have implications for cost and quality of care.

Funding: There was no funding for this review.

Registration: The protocol is available at the following link: https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD013423.pub2/full.

针对开处方者的制药工业信息和促销策略。
理由:制药公司促销对处方的影响及其影响一直受到广泛的争论。这篇综述有助于澄清临床医生和制药行业之间的相互作用是否以及如何影响处方。主要目的:利用随机试验的证据,评估制药行业与处方者的促销互动(包括提供信息、付款、礼品和样品)与无互动相比,在处方药物的适当性、数量和成本以及处方要求方面的影响,以及利用非随机研究的证据,评估两者之间的关联。检索方法:检索到2025年1月的CENTRAL、MEDLINE、Embase、另一个数据库和两个试验注册库。入选标准:我们纳入了随机试验、非随机试验、至少有两个干预点和至少两个对照点的前后对照研究、具有明确定义的干预时间点和干预时间前后至少三个数据点的中断时间序列研究,以及比较单一时间点暴露水平和结果的横断面研究。我们还纳入了对照队列研究,比较了一段时间内的结果,以及评估过去暴露影响的病例对照研究。如果数据涵盖整个人群或特定人群的随机样本,且有效率至少为60%,我们将纳入横断面、队列和病例对照研究。结果:关键结果是处方的适当性、数量和成本,以及与制药公司互动的临床医生与未接触或较少接触的临床医生的处方要求。偏倚风险:我们使用Cochrane的RoB 2工具来评估随机对照试验(rct)的偏倚,使用Joanna Briggs研究所的横断面研究工具来评估横断面、队列和嵌套病例对照研究的偏倚。我们使用Cochrane有效实践和护理组织(EPOC)组制定的研究设计特异性标准来评估对照前后研究和中断时间序列研究的偏倚。综合方法:我们根据暴露类型将研究分为四组——广告和教育;礼品和付款;免费样品;利益冲突政策——分析结果。我们在收获小区中展示了数据,并对结果进行了叙述性总结。由于异质性,我们无法进行meta分析。我们使用GRADE来评估证据的确定性。纳入研究:我们纳入了93项研究。大多数研究(82/93,88%)在美国进行;其中11项在欧盟或英国进行。93项研究中有60项(65%)是横断面研究,还有23项对照队列研究,4项前后对照研究,4项中断时间序列研究,1项嵌套病例对照研究和1项随机对照研究。62项研究调查了支付、礼物或其他价值转移;16审查广告或教育活动(主要通过制药行业销售代表的访问进行);7个检查了免费药物样本;还有八项调查调查了利益冲突政策,比如限制销售代表来访或接受礼物和样品。结果综合:接触制药公司广告或教育可能与处方适当性降低(6项研究,1335名处方者)和处方成本增加(2项研究,986名处方者)有关,与不接触或较少接触相比,可能与处方数量增加(7项研究,151399名处方者)有关。开处方者从制药公司收到礼物和付款与处方适当性降低(10项研究;2941948名开处方者)、处方数量增加(39项研究;3858871名开处方者)有关,与没有或很少收到礼物和付款相比,可能与处方成本增加有关(25项研究;25505292名开处方者)。关于收到免费样品与处方适当性(1项研究;10项实践)、数量(4项研究;150,050名处方者)和成本(4项研究;2508名处方者)之间关联的证据非常不确定。与没有或更宽松的利益冲突政策相比,机构利益冲突政策可能与改善处方适当性有关(2项研究,3065名开处方者),可能与减少处方数量有关(6项研究,110470名开处方者),并且对成本有不确定的影响(2项研究,33975名参与者)。很少有证据审查处方要求(1项研究;105名处方者)。开处方者对制药业广告和教育的接触以及他们收到的礼物和付款可能与处方需求的增加有关,但证据非常不确定。 我们将一个纳入RCT的两个结果评定为总体偏倚风险高。横断面和队列研究的主要偏倚风险与混杂因素的识别有关。对于前后对照研究,主要关注的是基线可比性和不完整的结果数据。我们判断中断时间序列研究的大多数域具有低偏倚风险。总的来说,我们降低了偏倚和不精确风险证据的确定性,并在剂量-反应效应和大效应量的情况下提高了证据的确定性。作者的结论:总的来说,我们发现临床医生与制药公司之间的促销互动可能与有害的结果有关:不太合适的处方,开出或提供的药物数量更多,开出的处方成本更高,更有可能推荐医院处方中添加公司药物。相反,在大多数限制制药行业与临床医生促销互动的组织利益冲突政策的分析中,限制与处方适当性,数量和成本的有益结果有关。这些发现对医疗成本和质量都有影响。经费:本综述没有经费支持。注册:该协议可在以下链接获得:https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD013423.pub2/full。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
10.60
自引率
2.40%
发文量
173
审稿时长
1-2 weeks
期刊介绍: The Cochrane Database of Systematic Reviews (CDSR) stands as the premier database for systematic reviews in healthcare. It comprises Cochrane Reviews, along with protocols for these reviews, editorials, and supplements. Owned and operated by Cochrane, a worldwide independent network of healthcare stakeholders, the CDSR (ISSN 1469-493X) encompasses a broad spectrum of health-related topics, including health services.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书