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Enregistrement W7027616026

Der Einfluss von HTA-Berichten auf die gesundheitspolitische Entscheidungsfindung

2005· article· en· W7027616026 sur OpenAlexaboutno aff

Notice bibliographique

RevueGerman Medical Science (German Research Foundation) · 2005
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealth Systems, Economic Evaluations, Quality of Life
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWork (physics)Government (linguistics)NucleofectionCircumstantial evidenceLimitingContext (archaeology)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Research Question The objective of health technology assessment (HTA) is to support decision-making in the health sector by assessing health technologies systematically under medical, economic, social, and ethical aspects. The present study aims at identifying ways of enabling the impact of HTA on decision-making processes in the German health sector. The authors formulate three research questions: (1) Can methods be identified that allow a valid assessment of the impact of HTA reports on the decision-making processes? (2) Has been shown an impact of HTA reports on decision-making processes in the health sector? (3) Which are the factors responsible for a high or a low impact of HTA? Methods The authors include studies that present a methodology to assess the impact of HTA, that investigate the impact of HTA on decision-making processes, or study the factors that might enhance or hinder the impact of HTA. Medical and social science electronic databases, lists of publications and projects of the European, North American, Canadian, and Australian HTA agencies, as well as the bibliography of the identified articles and documents are looked through. The writers do a handsearch of the International Journal of Technology Assessment in Health Care and contact 64 HTA agencies by a letter, requesting information on investigations that might not have been published. Results Abstracts from about 5,000 articles are read. 57 articles are ordered as full-text, 43 are finally included and 14 excluded. (1) In eight studies interviews with decision-makers are used to elicit the information, in three studies document analysis is employed, and in six surveys the results rely only on the observations and interpretations of the authors. One study analyses service data and in nine examinations more than one of the methods listed above are employed. Only in two studies pre-defined indicators were used and only in one clinical trial a prospective design is chosen. (2) In nine studies the impact of a population of HTA reports is analysed: Among these, seven find that more than 70% of the reports have an impact on the decision-making process, in one study 50% of the reports have none or only a minimal impact. In one study on the impact of 50 short HTA reports, it is found that they contribute valuable information but do not influence decisions. However, because of methodological flaws the evidence base for these results is rather limited. Most of the conclusions presented in the publications are based on the appraisal of the authors who are often related to the program of which the impact has been "evaluated". (3) The writers divide the factors that are identified as modifying the degree of impact of the HTA reports in two groups: context factors and factors that are connected to the developing process, the subject, the format, the content, or the quality of the reports. However, the relevance of these factors has to be assessed with caution: none of the publications has the relevance for a primary research question and in none of the studies is the relevance of the factors investigated in a prospective and systematic manner. Conclusion There is little experience with study designs or methods that allow a valid assessment of the impact of HTA reports on the decision-making process in the health sector. However, some approaches, such as the use of pre-defined indicators, were identified that should be pursued and elaborated in further studies. Due to the lack of a developed methodology only limited conclusions related to the impact of HTA reports can be drawn. Among the studies that show a relevant impact, most are methodological. However, results from qualitative studies caution against assuming a causal relationship where a mere coincidence between the recommendations of an HTA report and health policy is identified. In order to produce evidence-based conclusions regarding the impact of HTA reports, validated indicators should be used. Study design should also aim at controlling for other influencing factors. None of the studies explicitly aim at examining the role of the factors that might be responsible for a low or high impact of the HTA reports. The non-systematic retrospective analyses do not allow reliable conclusions regarding the relevance of these factors. Therefore the factors identified here should only serve for hypothesis formation. On the basis of these studies it is not possible to give evidence-based recommendations on the way how to increase the impact of HTA on decision-making in Germany. Instead a concept for evaluation should be developed that combines quantitative and qualitative methods and considers the following questions: (1) What kind of impact should be measured? (2) Which are the target groups and at which level of the health system are they located? (3) Which are the outcome parameters and how can they be measured? (4) Which are the potential impact enhancing or limiting factors?

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,204
score de la tête « metaresearch » (Gemma)0,620
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,204
Score d'incertitude au seuil0,982

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,2040,620
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,003
Bibliométrie0,0080,013
Études des sciences et des technologies0,0030,007
Communication savante0,0190,015
Science ouverte0,0030,011
Intégrité de la recherche0,0030,006
Charge utile insuffisante (le modèle a refusé de juger)0,0230,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,415
Tête enseignante GPT0,552
Écart entre enseignants0,137 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2005
Routes d'admission1
Résumé présentoui

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