» Articles » PMID: 35672735

Under Careful Construction: Combining Findings, Arguments, and Values into Robust Health Care Coverage Decisions

Overview
Publisher Biomed Central
Specialty Health Services
Date 2022 Jun 7
PMID 35672735
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Health care coverage decisions deal with health care technology provision or reimbursement at a national level. The coverage decision report, i.e., the publicly available document giving reasons for the decision, may contain various elements: quantitative calculations like cost and clinical effectiveness analyses and formalised and non-formalised qualitative considerations. We know little about the process of combining these heterogeneous elements into robust decisions.

Methods: This study describes a model for combining different elements in coverage decisions. We build on two qualitative cases of coverage appraisals at the Dutch National Health Care Institute, for which we analysed observations at committee meetings (n = 2, with field notes taken) and the corresponding audio files (n = 3), interviews with appraisal committee members (n = 10 in seven interviews) and with Institute employees (n = 5 in three interviews), and relevant documents (n = 4).

Results: We conceptualise decisions as combinations of elements, specifically (quantitative) findings and (qualitative) arguments and values. Our model contains three steps: 1) identifying elements; 2) designing the combinations of elements, which entails articulating links, broadening the scope of designed combinations, and black-boxing links; and 3) testing these combinations and choosing one as the final decision.

Conclusions: Based on the proposed model, we suggest actively identifying a wider variety of elements and stepping up in terms of engaging patients and the public, including facilitating appeals. Future research could explore how different actors perceive the robustness of decisions and how this relates to their perceived legitimacy.

References
1.
Baltussen R, Jansen M, Bijlmakers L, Grutters J, Kluytmans A, Reuzel R . Value Assessment Frameworks for HTA Agencies: The Organization of Evidence-Informed Deliberative Processes. Value Health. 2017; 20(2):256-260. DOI: 10.1016/j.jval.2016.11.019. View

2.
Russell J, Swinglehurst D, Greenhalgh T . 'Cosmetic boob jobs' or evidence-based breast surgery: an interpretive policy analysis of the rationing of 'low value' treatments in the English National Health Service. BMC Health Serv Res. 2014; 14:413. PMC: 4177599. DOI: 10.1186/1472-6963-14-413. View

3.
Baltussen R, Jansen M, Mikkelsen E, Tromp N, Hontelez J, Bijlmakers L . Priority Setting for Universal Health Coverage: We Need Evidence-Informed Deliberative Processes, Not Just More Evidence on Cost-Effectiveness. Int J Health Policy Manag. 2016; 5(11):615-618. PMC: 5088720. DOI: 10.15171/ijhpm.2016.83. View

4.
Williams I, Brown H, Healy P . Contextual Factors Influencing Cost and Quality Decisions in Health and Care: A Structured Evidence Review and Narrative Synthesis. Int J Health Policy Manag. 2018; 7(8):683-695. PMC: 6077272. DOI: 10.15171/ijhpm.2018.09. View

5.
McIver S, Ham C . Five cases, four actors and a moral: lessons from studies of contested treatment decisions. Health Expect. 2001; 3(2):114-124. PMC: 5080959. DOI: 10.1046/j.1369-6513.2000.00089.x. View