Understanding the Role of Values in Health Policy Decision-Making From the Perspective of Policy-Makers and Stakeholders: A Multiple-Case Embedded Study in Chile and Colombia
Bibliographic record
Abstract
BACKGROUND: Chile and Colombia are examples of Latin American countries with health systems shaped by similar values. Recently, both countries have crafted policies to regulate the participation of private for-profit insurance companies in their health systems, but through very different mechanisms. This study asks: what values are important in the decision-making processes that crafted these policies? And how and why are they used? METHODS: An embedded multiple-case study design was carried out for 2 specific decisions in each country: (1) in Chile, the development of the Universal Plan of Explicit Entitlements -AUGE/GES - and mandating universal coverage of treatments for high-cost diseases; and (2) in Colombia, the declaration of health as a fundamental right and a mechanism to explicitly exclude technologies that cannot be publicly funded. We interviewed key informants involved in one or more of the decisions and/or in the policy analysis and development process that contributed to the eventual decision. The data analysis involved a constant comparative approach and thematic analysis for each case study. RESULTS: From the 40 individuals who were invited, 28 key informants participated. A tension between 2 important values was identified for each decision (eg, solidarity vs. individualism for the AUGE/GES plan in Chile; human dignity vs. sustainability for the declaration of the right to health in Colombia). Policy-makers used values in the decisionmaking process to frame problems in meaningful ways, to guide policy development, as a pragmatic instrument to make decisions, and as a way to legitimize decisions. In Chile, values such as individualism and free choice were incorporated in decision-making because attaining private health insurance was seen as an indicator of improved personal economic status. In Colombia, human dignity was incorporated as the core value because the Constitutional Court asserted its importance in its use of judicial activism as a check on the power of the executive and legislative branches. CONCLUSION: There is an opportunity to open further exploration of the role of values in different health decisions, political sectors besides health, and even other jurisdictions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".