TY - JOUR
T1 - Under careful construction
T2 - combining findings, arguments, and values into robust health care coverage decisions
AU - Kleinhout-Vliek, T. H.
AU - De Bont, A. A.
AU - Boer, A.
N1 - Funding Information:
We gratefully acknowledge our interviewees for their time and consideration and the secretary of the appraisal committee at the Dutch National Health Care Institute for access to the decision-making setting and relevant audio files. We are also thankful to professor Tiago Moreira at Durham University and the Erasmus School of Health Policy & Management’s Health Care Governance section for constructive feedback on an earlier draft.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/6/7
Y1 - 2022/6/7
N2 - 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.
AB - 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.
KW - Expertise
KW - Health Care Coverage
KW - Health Care Decision-making
KW - Patient and Public Involvement and Engagement
KW - Robustness
UR - http://www.scopus.com/inward/record.url?scp=85131504316&partnerID=8YFLogxK
U2 - 10.1186/s12913-022-07781-1
DO - 10.1186/s12913-022-07781-1
M3 - Article
C2 - 35672735
AN - SCOPUS:85131504316
SN - 1472-6963
VL - 22
SP - 1
EP - 10
JO - BMC Health Services Research
JF - BMC Health Services Research
IS - 1
M1 - 756
ER -