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Record W4353068223 · doi:10.32352/0367-3057.1.23.03

International experience of using report forms for hospital-based health technology asssessment

2023· article· en· W4353068223 on OpenAlex
Olena Filiniuk

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFarmatsevtychnyi zhurnal · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Hospital-based health technology assessment (HB-HTA) is one of the components of public management and support hospital managers to science-based decision-making regarding the implementation of new and innovative health technologies (HT). HB-HTA includes the processes and methods used to make HTA reports in and for hospitals. Ukraine has already started implementing hospital-based HTA, but a number of steps are still needed to fully implement HTA at the hospitals. One of them is the choice of HB-HTA report form, which will be appropriate to use in the practical activities of hospitals in Ukraine. The purpose of the study is to analyse the international experience of using different HB-HTA report form with the aim of selecting the optimal HB-HTA report form for hospitals in Ukraine. There were analysed different forms of HTA reports in Ukraine regulatory framework, international scientific literature, the AdHopHTA handbook, which included the following countries: Norway, Finland, Turkey, Spain, Austria, Italy, Estonia, Denmark, Switzerland, in international HTA database INAHTA, Canadian and Kazakhstan report databases. The methods of content analysis, systematization and generalization were used. Making managerial decisions about investment or disinvestment in health technology requires information that meets the hospital stakeholders needs. Such scientifically based information is provided by HB-HTA report form. There are a wide range of HB-HTA reports forms in terms of content, subject matter, structure and resources (time and staff). Each is based on the EUnetHTA HTA core model. For introducing a hospital-based HTA, the countries of the world most often choose the mini-HTA form. Mini-HTA supports hospital managers to make science-based strategic decisions of the introduction of new treatment methods, new indications for the use of existing technology, medical equipment, medical devices, or stopping the usage of health technology. The choice between performing a mini-HTA or a more comprehensive hospital-based HTA often requires a balance between the quality and thoroughness and the necessary speed of assessment in a specific situation. From the authors' point of view, the most applicable to Ukrainian context is the mini-HTA form. Adapting mini-HTA and approving it as a recommended report form at the state level will provide an opportunity to more widely HTA usage by hospitals in Ukraine.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.402
GPT teacher head0.514
Teacher spread0.112 · 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