MétaCan
Menu
Back to cohort
Record W214260950

Defining Medical Necessity: Challenges and Implications

2002· article· en· W214260950 on OpenAlexaboutno aff
Glenn Griener

Bibliographic record

VenueDigitalGeorgetown (Georgetown University Library) · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsAmbiguitySet (abstract data type)Health careGovernment (linguistics)Public relationsLaw and economicsMedicinePolitical scienceSociologyLawComputer science
DOInot available

Abstract

fetched live from OpenAlex

Introduction The concept of necessary services is deeply imbedded in the Canadian medicare system, despite the fact that it seems to defy clear analysis. Coming to grips with this concept seems crucial to the sustainability of the system. Some commentators are concerned that the rapid development of new, and increasingly expensive, therapies will bankrupt any government that attempts to pay for all services deemed to be necessary. Others cite the fact that medications prescribed by physicians are not insured as inescapable evidence that the system needs expansion because it already is already failing to meet its promise of providing necessary therapy to all Canadians. In this brief paper I will take a critical look at the different ways the concept of medical is used, and the work it does. I will focus, in turn, on each of the terms that make up the concept. My aim is not to provide the complete conceptual analysis which has eluded so many others. Instead I hope to illuminate the challenges that must be met if the concept is to continue to be useful in health care planning. I. The Ambiguity of Medical Necessity The term medically necessary suggests how we decide that a treatment is necessary. Determinations of necessity are made by practitioners. This is clearest in the individual case where a doctor judges whether any treatment is necessary for this patient. A system set up in this manner puts great power into the hands of physicians - power over the patient and over the health care system. (1) The patient's access to government-funded services is controlled by her physician. The overall costs of the system are greatly influenced by these judgments. To say that a service is necessary is also symbolically important: it is to say that the service is a necessity of a particularly important sort. An individual's necessity has a particularly strong claim on the public imagination. In the public mind necessity is in a class by itself, separate from any other necessity one might identify. It is a necessity which should not go unmet, even in an era of reduced government involvement is the provision of social services. If the government has an obligation to provide for any of the needs of its citizens, it surely has an obligation to meet needs. Any shift to a less evocative word risks losing this support for public payment. II. The Beguiling Simplicity of Medical Necessity Much of the discussion of necessity focuses on separating what is necessary from what is optional or elective. The analysis tries to distinguish people's genuine needs from their mere desires. Given that the patient has been accurately diagnosed as suffering from a condition (be it a crooked nose, infertility or erectile dysfunction), the question becomes: is it necessary for the condition to be treated? The very point of drawing this distinction is to decide whether treatment should be paid for out of the public purse. If only we can find the boundary between the necessary and the optional, we will have found a natural place to set the limit on what treatments are insured services. While most people are willing to help others meet their genuine needs through a publicly funded system, fewer feel any obligation to help others satisfy all of their desires. However, the move from the diagnosis of a condition needing treatment to an entitlement to insurance coverage for a treatment is often made too quickly. The fact that an individual has a need, even a diagnosed one, does not entail that the provincial health care plan has an obligation to pay for a particular treatment, or for any treatment at all. Sometimes an obvious need exists but, unfortunately, science has no effective treatment to offer. Imagine a patient who suffers from a life-threatening disease for which no proven therapy exists. …

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)0.028
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.084
Threshold uncertainty score0.313

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.006
Science and technology studies0.0180.126
Scholarly communication0.0200.031
Open science0.0060.016
Research integrity0.0180.025
Insufficient payload (model declined to judge)0.0090.001

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 head0.037
GPT teacher head0.200
Teacher spread0.163 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueDigitalGeorgetown (Georgetown University Library)Same topicHealthcare Policy and ManagementFrench-language works237,207