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Mind the gap! A multilevel analysis of factors related to variation in published cost-effectiveness estimates within and between countries

Mind the gap! A multilevel analysis of factors related to variation in published cost-effectiveness estimates within and between countries
Mind the gap! A multilevel analysis of factors related to variation in published cost-effectiveness estimates within and between countries
Background: published cost-effectiveness estimates can vary considerably, both within and between countries. Despite extensive discussion, little is known empirically about factors relating to these variations. OBJECTIVES: To use multilevel statistical modeling to integrate cost-effectiveness estimates from published economic evaluations to investigate potential causes of variation.

Methods: cost-effectiveness studies of statins for cardiovascular disease prevention were identified by systematic review. Estimates of incremental costs and effects were extracted from reported base case, sensitivity, and subgroup analyses, with estimates grouped in studies and in countries. Three bivariate models were developed: a cross-classified model to accommodate data from multinational studies, a hierarchical model with multinational data allocated to a single category at country level, and a hierarchical model excluding multinational data. Covariates at different levels were drawn from a long list of factors suggested in the literature.

Results: we found 67 studies reporting 2094 cost-effectiveness estimates relating to 23 countries (6 studies reporting for more than 1 country). Data and study-level covariates included patient characteristics, intervention and comparator cost, and some study methods (e.g., discount rates and time horizon). After adjusting for these factors, the proportion of variation attributable to countries was negligible in the cross-classified model but moderate in the hierarchical models (14%-19% of total variance). Country-level variables that improved the fit of the hierarchical models included measures of income and health care finance, health care resources, and population risks.

Conclusions: our analysis suggested that variability in published cost-effectiveness estimates is related more to differences in study methods than to differences in national context. Multinational studies were associated with much lower country-level variation than single-country studies. These findings are for a single clinical question and may be atypical.
methods, transferability
0272-989X
31-47
Boehler, C.E.
8641549d-7ba1-43b7-84cd-af998ab9b624
Lord, J.
fd3b2bf0-9403-466a-8184-9303bdc80a9a
Boehler, C.E.
8641549d-7ba1-43b7-84cd-af998ab9b624
Lord, J.
fd3b2bf0-9403-466a-8184-9303bdc80a9a

Boehler, C.E. and Lord, J. (2016) Mind the gap! A multilevel analysis of factors related to variation in published cost-effectiveness estimates within and between countries. Medical Decision Making, 31-47. (doi:10.1177/0272989X15579173).

Record type: Article

Abstract

Background: published cost-effectiveness estimates can vary considerably, both within and between countries. Despite extensive discussion, little is known empirically about factors relating to these variations. OBJECTIVES: To use multilevel statistical modeling to integrate cost-effectiveness estimates from published economic evaluations to investigate potential causes of variation.

Methods: cost-effectiveness studies of statins for cardiovascular disease prevention were identified by systematic review. Estimates of incremental costs and effects were extracted from reported base case, sensitivity, and subgroup analyses, with estimates grouped in studies and in countries. Three bivariate models were developed: a cross-classified model to accommodate data from multinational studies, a hierarchical model with multinational data allocated to a single category at country level, and a hierarchical model excluding multinational data. Covariates at different levels were drawn from a long list of factors suggested in the literature.

Results: we found 67 studies reporting 2094 cost-effectiveness estimates relating to 23 countries (6 studies reporting for more than 1 country). Data and study-level covariates included patient characteristics, intervention and comparator cost, and some study methods (e.g., discount rates and time horizon). After adjusting for these factors, the proportion of variation attributable to countries was negligible in the cross-classified model but moderate in the hierarchical models (14%-19% of total variance). Country-level variables that improved the fit of the hierarchical models included measures of income and health care finance, health care resources, and population risks.

Conclusions: our analysis suggested that variability in published cost-effectiveness estimates is related more to differences in study methods than to differences in national context. Multinational studies were associated with much lower country-level variation than single-country studies. These findings are for a single clinical question and may be atypical.

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More information

e-pub ahead of print date: April 2015
Published date: January 2016
Keywords: methods, transferability
Organisations: Primary Care & Population Sciences

Identifiers

Local EPrints ID: 382166
URI: https://eprints.soton.ac.uk/id/eprint/382166
ISSN: 0272-989X
PURE UUID: ad1b1704-48e8-4966-bd6a-e3c0a8cf72d0
ORCID for J. Lord: ORCID iD orcid.org/0000-0003-1086-1624

Catalogue record

Date deposited: 18 Jan 2016 10:32
Last modified: 20 Jul 2019 00:34

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