ArticleHealth care analysis : HCA : journal of health philosophy and policy2021
Understanding Government Decisions to De-fund Medical Services Analyzing the Impact of Problem Frames on Resource Allocation Policies.
Article in Health care analysis : HCA : journal of health philosophy and policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- Fairness of the Distribution of Public Medical and Health Resources.Frontiers in public health · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many medical services lack robust evidence of effectiveness and may therefore be considered "unnecessary" care. Proactively withdrawing resources from, or de-funding, such services and redirecting the savings to services that have proven effectiveness would enhance overall health system performance. Despite this, governments have been reluctant to discontinue funding of services once funding is in place. The focus of this study is to understand how the framing of an issue or problem influences government decision-making related to de-funding of medical services. To achieve this, a framework describing how problem frames, or explanatory naratives, influence government policy decisions was developed and applied to actual cases. The two cases selected were the Ontario government's decisions to de-fund the drug Oxycontin and blood glucose test strips used by patients with diabetes. A qualitative content analysis of public discourse (political debate and media coverage) surrounding these two resource withdrawal examples was conducted and described using the framework. In the framework, government decision-making is a partial reflection of the visibility of the policy issue and complexity of the causal story told within a problem frame. By applying this framework and considering these two key characteristics of problem frames, we can better understand, and possibly predict, the shape and timing of government policy decisions to withdraw resources from medical services.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.