MétaCan
Menu
Back to cohort
Record W4394860286 · doi:10.61093/hem.2024.1-06

Replace government healthcare with patient-controlled health care

2024· article· en· W4394860286 on OpenAlexaboutno aff
Deane Waldman

Bibliographic record

VenueHealth Economics and Management Review · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careGovernment (linguistics)BusinessNursingMedicinePolitical science

Abstract

fetched live from OpenAlex

The purpose of the article is to analyse the shortcomings of the state-run healthcare systems and to substantiate the need for and feasibility of transition to a patient-controlled model. It is shown that patient-controlled health care, free from centralised domination, can provide timely, high-quality, compassionate medical care at an affordable price for both individuals and the nation. It significantly expands the patient’s rights and opportunities to choose a doctor according to their own preferences and financial capabilities. The patient pays for the medical service provided directly to the doctor, who no longer has restrictions on choice of treatment protocols or prescription of medicines. The analysis in the article is based mainly on the example of the United States, where federal control for residents is both direct (194 million Americans are covered by Medicaid, Medicare, Tricare or EMTALA) and indirect (138 Americans have private insurance). In addition, aspects of the article analysis also apply to single-payer countries (Canada, the United Kingdom, France and Spain). The article examines the shortcomings of the current US model of its healthcare system in terms of its compliance with the Constitution. It is noted that, according to the Tenth Amendment to the US Constitution, healthcare powers are not among the 18 powers delegated to the federal government. Also, non-compliance with the law is also observed: government control or administration of state Medicaid programmes is contrary to US law; medical autonomy as the patient’s ability to make personal medical decisions without undue influence from the state. Another disadvantage of state-run healthcare system is that state-controlled healthcare payment structure violates the fiduciary relationship between doctor and patient, as doctors’ authority to make medical decisions is limited. It also calls into question the observance in the United States of the citizen’s “right” to receive medical care in its interpretation as a personal service of a professional caregiver when a patient can demand the desired care and the service provider cannot refuse. The article emphasises that state-run healthcare systems create a conflict between efficient use of financial resources and effective provision of medical care. This issue is considered through the prism of the interests of the main stakeholders: shareholders of companies operating in this area, politicians, patients, healthcare providers and administrators. As evidence of the inefficiency of the existing US healthcare system in comparison with other countries, comparative data for different countries on life expectancy and incidence rates of a number of diseases are provided. The author also discusses the problem of limiting access to medical care (rationing) for patients with public health insurance due to a shortage of healthcare professionals accepting new Medicaid patients. This is caused by low reimbursement rates, overly bureaucratic verification procedures for obtaining payment, overregulation of requirements for doctor-patient relations and procedures for reviewing medical errors, the need to comply with population-based clinical algorithms, etc. It leads to a decrease in the quality of medical care, an increase in patient deaths while waiting for medical care, the risk of disease complications due to delays in diagnosis and timely treatment, ignoring the needs of unique, individual patients, and an increase in the likelihood of medical errors. All of the above disadvantages of state-run healthcare are obviated when the patient is in charge, patient-controlled health care.

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)0.030
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.030
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.029
Scholarly communication0.0110.010
Open science0.0030.010
Research integrity0.0120.014
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
GPT teacher head0.274
Teacher spread0.248 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations4
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueHealth Economics and Management ReviewSame topicHealthcare Policy and ManagementFrench-language works237,207