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Record W4403825533 · doi:10.1093/eurpub/ckae144.298

The state of primary health care systems in ten high-income countries

2024· article· en· W4403825533 on OpenAlexaboutno aff
E Gumas, Chris Lewis, C Horstman, Munira Gunja

Bibliographic record

VenueEuropean Journal of Public Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPrimary careState (computer science)Primary health careEnvironmental healthMedicineBusinessFamily medicineComputer science

Abstract

fetched live from OpenAlex

Abstract Primary care systems in high-income countries perform comparatively better than the U.S. system in large part due to decades of investment, an adequate workforce supply, and universal healthcare. This research identifies successes and areas of improvement of 10 high-performing primary care systems in four areas of care: 1) access, 2) continuity, 3) comprehensiveness, 4) and coordination. Cross-national comparisons using primary data from the 2022 CMWF International Health Policy Survey of Primary Care Physicians (N ranged from 321-2,092) and the 2023 CMWF International Health Policy Survey on the General Population (N ranged from 750-4,820). Countries included: Australia, Canada, France, Germany, Netherlands, New Zealand, Sweden, Switzerland, the U.K., and the U.S. • More than 90% of adults in all surveyed countries reported having a regular primary care doctor except Sweden, the U.S., and Canada. • Less than 5% of physicians reported high telehealth use in their patient encounters, except for in the U.K. and New Zealand where over 10% reported high use. • Over a quarter of physicians in the U.S., Germany, and France report screening patients for social needs, compared to just 8% in the Netherlands. • Care coordination with social services was a major challenge in all surveyed countries, with over 75% of physicians in the U.K., Australia, and France reporting major challenges. Primary care systems in 10 other high-income countries outperform the U.S. system, particularly when it comes to access to care and care continuity. Policy options to consider for U.S. policymakers include narrowing the wage gap between generalist and specialist physicians and rewarding and holding providers accountable for continuity of care. On the other hand, countries like Sweden and the Netherlands can learn from the U.S. on how to adequately coordinate care between primary care physicians, specialists, and hospitals. Key messages • Investment in primary care yields better health outcomes, greater equity and lower costs. • Many high-income countries in Europe have high performing primary care systems, something the U.S. system can learn from.

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 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)0.037
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.851
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0370.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.053
GPT teacher head0.384
Teacher spread0.331 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations5
Published2024
Admission routes1
Has abstractyes

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