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Record W1991543216 · doi:10.1093/eurpub/ckp054

Health technology assessment and public health: a time for convergence

2009· editorial· en· W1991543216 on OpenAlexaffabout
Renaldo N. Battista, Louise Lafortune

Bibliographic record

VenueEuropean Journal of Public Health · 2009
Typeeditorial
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPublic healthConvergence (economics)Environmental healthMedicineNursingEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Health Technology Assessment (HTA) and Public Health have more in common than meets the eye. Despite having distinct historical trajectories and organizational structures, these fields of applied research share several key defining features: the interdisciplinary nature of their core activities and required expertise; the use of a variety of methods to generate and synthesize evidence; and their enhanced focus on knowledge translation. In light of unprecedented technological innovation, population aging and economic concerns, HTA and Public Health also face the same difficult questions. How to prioritize interventions aimed at preventing, diagnosing and treating chronic diseases? How to account for the social, ethical and legal implications of increasingly expensive and complex interventions? What methodologies should be used to evaluate these interventions? How best to use available evidence when randomization is neither possible nor desirable? Fuelled by the evidenced-based paradigm and the call for increased accountability, these shared features and questions place HTA and Public Health on a naturally converging path. HTA is a policy-oriented research process aimed at informing decision making. Since its inception in the late 60s, the focus of evaluation has shifted from the technical performance of capital-intensive technologies, to diseases and clinical outcomes, and, recently, to service delivery models—testifying to the expansion of the breadth and scope of HTA.1 Conversely, Public Health is an action-oriented process with a population outlook, which has focused from its inception on both health states and interventions. Building from the study of the distribution, determinants and etiologies of health and illness, public health has striven to develop interventions and influence policies to prevent the occurrence of illness, and to maintain and restore health. HTA and Public Health draw on a variety of perspectives and methods from different disciplines, including epidemiology, health economics, biomedical engineering, the social sciences, ethics and law. As of now, two important and unifying challenges persist: the consolidation of an interdisciplinary research capacity and the development of knowledge translation tools targeted to a diversified audience. There is thus an opportunity to share methodologies, expertise and insights, refine evaluation tools, develop recommendations and improve the relevance of evidence across multiple levels of decision making in health. Moreover, important trends foster the convergence between HTA and Public Health. One pertains to the increased complexity of healthcare resulting from the growing burden of chronic diseases that accompany aging populations. As interventions become more complex, one must consider their impact across the policy, organizational, community, and individual levels, measure their effects on several intermediate outcomes, and examine how these effects are mediated through multiple causal pathways. This complexity calls for increasingly sophisticated definitions of what constitutes necessary and sufficient evidence as well as a willingness to settle for methodological pluralism. Another is technological innovation, which continues to expand the breadth of interventions to be evaluated and blur disciplinary boundaries. Notable examples include the development of vaccines for cancer and chronic diseases like diabetes; the development of genomics and accompanying screening tools for increased risk of unhealthy behaviours. Combined to increased consumer expectations and our greater understanding of health determinants across the life cycle, these developments raise for HTA and Public Health the same social, ethical and economic issues. In that context, the need to deliver scientifically sound evaluations of interventions whose promise to improve Public Health depends on shared accountability and equitable uptake creates favourable conditions for a greater convergence between HTA and Public Health. Historically, the proximity between HTA and Public Health was mainly disciplinary in that HTA is firmly rooted in the founding disciplines of Public Health. Yet, the institutional differentiation of HTA and Public Health was justified by the distinctive nature and scope of their activities—these differences remain and so should the organizational structures. Indeed, up until recently, a majority of HTA products focused on clinically oriented interventions,2 albeit adopting a population perspective. Nonetheless, the trends and challenges we highlighted announce a phase of convergence between Public Health and HTA. This should lead the way for the development of more scientifically grounded decision making in Public Health, and the production of contextualized HTA outputs that can better respond to the contingencies of everyday practice in Public Health.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.049
metaresearch head score (Gemma)0.185
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.049
Threshold uncertainty score0.262

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.185
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0080.004
Bibliometrics0.0070.006
Science and technology studies0.0040.017
Scholarly communication0.0190.021
Open science0.0060.005
Research integrity0.0300.056
Insufficient payload (model declined to judge)0.0060.003

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.

Opus teacher head0.388
GPT teacher head0.464
Teacher spread0.076 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

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Citations8
Published2009
Admission routes2
Has abstractyes

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