WHEN EVIDENCE FAILS TO CHANGE DECISIONS: THE MISSING LINK BETWEEN MEASUREMENT AND VALUE IN HEALTHCARE
Author(s)
Natália Martinez Martos, BSc1, Lívia Loamí Ruyz Jorge Paula, PhD1, Vitor Sain Vallio, MSc1, Fernanda Franco Munari, MSc1, Wellington dos Santos, PhD1, Moacyr Campos, MD1, Yasmin Winther Consolino de Almeida, MSc1, Talita Garcia do Nascimento Castro, PhD1, Bruna Andrade Guedes, BSc1, Mateus Frederico de Paula, MSc1, Bruno Tirotti Saragiotto, PhD1, Felipe Ribeiro Cabral Fagundes, PhD2.
1Research and Data Science Division, Hi! Healthcare Intelligence, São José dos Campos, Brazil, 2Hi! Healthcare Intelligence, São José dos Campos, Brazil.
1Research and Data Science Division, Hi! Healthcare Intelligence, São José dos Campos, Brazil, 2Hi! Healthcare Intelligence, São José dos Campos, Brazil.
OBJECTIVES: To explore whether the growing availability of quality and outcome data has translated into meaningful influence on healthcare purchasing, referral, and reimbursement decisions within value-based healthcare environments.
METHODS: A narrative review of the literature on public reporting, provider selection, referral behavior, and value-based healthcare was conducted. Findings were complemented by exploratory observations from value measurement initiatives involving healthcare providers and payers, focusing on situations where quality indicators were available but did not appear to influence healthcare purchasing decisions.
RESULTS: Across multiple studies, awareness of quality reports was consistently higher than their use in decision-making. Physicians frequently reported familiarity with public performance information, yet limited incorporation of these data into referral patterns. Similar findings were observed in provider benchmarking initiatives, where quality indicators were recognized but often competed with stronger determinants such as contracting arrangements, network restrictions, operational convenience, and cost containment objectives. Observational evidence from value measurement programs suggested a recurring pattern: organizations invested substantial resources in collecting and reporting outcomes, patient experience measures, and quality indicators, while stakeholders responsible for purchasing decisions continued to prioritize financial and operational criteria. This created a persistent disconnect between evidence generation and decision-making behavior.
CONCLUSIONS: These findings suggest that one of the principal barriers to value-based healthcare may no longer be the generation of quality data, but the absence of mechanisms that translate evidence into meaningful consequences. Future value-based frameworks should focus not only on measurement, but also on incentive structures capable of linking quality performance to purchasing and reimbursement decisions.
METHODS: A narrative review of the literature on public reporting, provider selection, referral behavior, and value-based healthcare was conducted. Findings were complemented by exploratory observations from value measurement initiatives involving healthcare providers and payers, focusing on situations where quality indicators were available but did not appear to influence healthcare purchasing decisions.
RESULTS: Across multiple studies, awareness of quality reports was consistently higher than their use in decision-making. Physicians frequently reported familiarity with public performance information, yet limited incorporation of these data into referral patterns. Similar findings were observed in provider benchmarking initiatives, where quality indicators were recognized but often competed with stronger determinants such as contracting arrangements, network restrictions, operational convenience, and cost containment objectives. Observational evidence from value measurement programs suggested a recurring pattern: organizations invested substantial resources in collecting and reporting outcomes, patient experience measures, and quality indicators, while stakeholders responsible for purchasing decisions continued to prioritize financial and operational criteria. This created a persistent disconnect between evidence generation and decision-making behavior.
CONCLUSIONS: These findings suggest that one of the principal barriers to value-based healthcare may no longer be the generation of quality data, but the absence of mechanisms that translate evidence into meaningful consequences. Future value-based frameworks should focus not only on measurement, but also on incentive structures capable of linking quality performance to purchasing and reimbursement decisions.
Conference/Value in Health Info
2026-11, ISPOR Europe 2026, Vienna, Austria
Value in Health, Volume 29, Issue 12S
Code
SA4
Topic
Patient-Centered Research, Study Approaches
Topic Subcategory
Literature Review & Synthesis
Disease
Generics