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Record W2508200815 · doi:10.1186/s12961-016-0139-7

Examining the use of health systems and policy research in the health policymaking process in Israel: views of researchers

2016· article· en· W2508200815 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Research Policy and Systems · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolicy Transfer and Learning
Canadian institutionsMcMaster University Medical CentreMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsHealth services researchHealth policyHealth administrationGovernment (linguistics)Public relationsPublic healthProcess (computing)MedicinePolitical scienceNursing

Abstract

fetched live from OpenAlex

BACKGROUND: All too often, health policy and management decisions are made without making use of or consulting with the best available research evidence, which can lead to ineffective and inefficient health systems. One of the main actors that can ensure the use of evidence to inform policymaking is researchers. The objective of this study is to explore Israeli health systems and policy researchers' views and perceptions regarding the role of health systems and policy research (HSPR) in health policymaking and the barriers and facilitators to the use of evidence in the policymaking process. METHODS: A survey of researchers who have conducted HSPR in Israel was developed. The survey consisted of a demographics section and closed questions, which focused on support both within the researchers' organisations and the broader environment for KTE activities, perceptions on the policymaking process, and the potential influencing factors on the process. The survey was sent to all health systems and policy researchers in Israel from academic institutions, hospital settings, government agencies, the four health insurance funds, and research institutes (n = 107). All responses were analyzed using descriptive statistics. For close-ended questions about level of agreement we combined together the two highest categories (agree or strongly agree) for analysis. RESULTS: Thirty-seven respondents participated in the survey. While many respondents felt that the use of HSPR may help raise awareness on policy issues, the majority of respondents felt that the actual use of HSPR was hindered for many reasons. While facilitators do exist to support the use of research evidence in policymaking, numerous barriers hinder the process such as challenges in government/provider relations, policymakers lacking the expertise for acquiring, assessing, and applying HSPR and priorities in the health system drawing attention away from HSPR. Furthermore, it is perceived by a majority of respondents that the health insurance funds and the physician organisations exert a strong influence in the policymaking process. CONCLUSIONS: Health system and policy researchers in Israel need to be introduced to the benefits and potential advantages of evidence-informed policy in an organised and systematic way. Future research should examine the perceptions of policymakers in Israel and thus we can gain a broader perspective on where the actual issues lie.

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)0.143
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1430.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.876
GPT teacher head0.657
Teacher spread0.220 · 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