Preferences for health economics presentations among vaccine policymakers and researchers

被引:1
作者
Richardson, John S. [1 ,2 ,6 ]
Messonnier, Mark L. [3 ]
Prosser, Lisa A. [4 ,5 ]
机构
[1] Univ Michigan, CHEAR Ctr, Dept Pediat & Communicable Dis, 1415 Washington Hts, Ann Arbor, MI 48109 USA
[2] Univ Michigan, CHEAR Ctr, Dept Hlth Management & Policy, 1415 Washington Hts, Ann Arbor, MI 48109 USA
[3] Ctr Dis Control & Prevent, Ctr Dis Surveillance Epidemiol & Lab Sci, 1600 Clifton Rd NE,MS E-52, Atlanta, GA 30029 USA
[4] Univ Michigan, CHEAR Ctr, Dept Pediat & Communicable Dis, 300 North Ingalls Bldg 6A14, Ann Arbor, MI 48109 USA
[5] Univ Michigan, CHEAR Ctr, Dept Hlth Management & Policy, 300 North Ingalls Bldg 6A14, Ann Arbor, MI 48109 USA
[6] RTI Int, 3040 East Cornwallis Rd, Res Triangle Pk, NC 27709 USA
关键词
Vaccine policy; Best-worst scaling; Health economics; Advisory Committee on Immunization Practices (ACIP); MULTICRITERIA DECISION-ANALYSIS; IMMUNIZATION PRACTICES ACIP; ADVISORY-COMMITTEE; COST-EFFECTIVENESS; UNITED-STATES; CARE; INFORMATION;
D O I
10.1016/j.vaccine.2018.08.049
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Purpose: Measure the preferences of decision makers and researchers associated with the Advisory Committee on Immunization Practices (ACIP) regarding the recommended format for presenting health economics studies to the ACIP. Methods: We conducted key informant interviews and an online survey of current ACIP work group members, and current and previous ACIP voting members, liaison representatives, and ex-officio members to understand preferences for health economics presentations. These preferences included the presentation of results and sensitivity analyses, the role of health economics studies in decision making, and strategies to improve guidelines for presenting health economics studies. Best-worst scaling was used to measure the relative value of seven attributes of health economics presentations in vaccine decision making. Results: The best-worst scaling survey had a response rate of 51% (n = 93). Results showed that summary results were the most important attribute for decision making (mean importance score: 0.69) and intermediate outcomes and disaggregated results were least important (mean importance score: 0.71). Respondents without previous health economics experience assigned sensitivity analysis lower importance and relationship of the results to other studies higher importance than the experienced group (sensitivity analysis scores: 0.15 vs. 0.15 respectively; relationship of the results: 0.13 vs. 0.12 respectively). Key informant interviews identified areas for improvement to include additional information on the quality of the analysis and increased role for liaisons familiar with health economics. Conclusion: Additional specificity in health economics presentations could allow for more effective presentations of evidence for vaccine decision making. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:6416 / 6423
页数:8
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