Suppr超能文献

利用资源利用记录减少试验中经济评估的缺失数据量。

Using resource use logs to reduce the amount of missing data in economic evaluations alongside trials.

机构信息

School of Social and Community Medicine, University of Bristol, Bristol, UK.

出版信息

Value Health. 2013 Jan-Feb;16(1):195-201. doi: 10.1016/j.jval.2012.09.008.

Abstract

OBJECTIVES

Economic evaluations alongside randomized controlled trials that collect data using patient-completed questionnaires are prone to missing data. Our objective was to determine whether giving patients a resource use log (RUL) at baseline would improve the odds of completing questions in a follow-up resource use questionnaire (RUQ) and to identify patients' views on RUL's usefulness and acceptability.

METHODS

The RUL study was a randomized controlled trial and qualitative study nested within a larger randomized controlled trial (the Arthroplasty Pain Experience Study trial). Eighty-five patients were randomized at baseline to receive or not receive an RUL. At 3-month follow-up, all participants received a postal RUQ. We created dummy variables for 13 resource use categories indicating whether complete information had been given for each category. We compared the completion rates between arms by using descriptive statistics and logistic regression. We explored patients' experience of using the RUL by interviewing a different subsample of Arthroplasty Pain Experience Study patients (n = 24) at 2- to 4-week follow-up.

RESULTS

At 3 months, 74 of the 85 (87% in each arm) patients returned the RUQ. Patients in the RUL arm were 3.5 times more likely to complete the National Health Service community-based services category (P = 0.08). The RUL was positively received by patients and was generally seen as a useful memory aid.

CONCLUSIONS

The RUL is a useful and acceptable tool in reducing the amount of missing data for some types of resource use.

摘要

目的

在收集患者完成的问卷调查数据的随机对照试验中,经济评估往往会出现数据缺失。我们的目的是确定在基线时给患者提供资源使用日志(RUL)是否会提高完成后续资源使用问卷(RUQ)中问题的几率,并确定患者对 RUL 的有用性和可接受性的看法。

方法

RUL 研究是一项随机对照试验和定性研究,嵌套在更大的随机对照试验(关节置换疼痛体验研究试验)中。85 名患者在基线时随机分为接受或不接受 RUL。在 3 个月的随访时,所有参与者都收到了一份 RUQ。我们创建了 13 个资源使用类别的虚拟变量,指示每个类别是否提供了完整的信息。我们通过使用描述性统计和逻辑回归比较了两组之间的完成率。我们通过在 2 到 4 周的随访中对不同的 Arthroplasty Pain Experience Study 患者(n=24)进行访谈,探索了患者使用 RUL 的体验。

结果

在 3 个月时,85 名患者中的 74 名(每组中的 87%)返回了 RUQ。RUL 组的患者完成国家卫生服务社区服务类别的可能性是对照组的 3.5 倍(P=0.08)。RUL 受到了患者的积极评价,通常被视为一种有用的记忆辅助工具。

结论

RUL 是一种有用且可接受的工具,可以减少某些类型资源使用的缺失数据量。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验