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Record W4324307229 · doi:10.1017/s1463423623000099

Connecting unattached patients to comprehensive primary care: a rapid review

2023· review· en· W4324307229 on OpenAlexafffund
Karina Nabieva, Tess McCutcheon, Clare Liddy

Bibliographic record

VenuePrimary Health Care Research & Development · 2023
Typereview
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsBruyèreUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsIncentivePrimary careIntervention (counseling)NursingQuality (philosophy)Medical homeMedicineHealth careBusinessMedical emergencyFamily medicinePolitical science

Abstract

fetched live from OpenAlex

INTRODUCTION: Lack of access to primary care providers (PCPs) is a significant hurdle to receiving high-quality comprehensive health care and creates greater reliance on emergency departments and walk-in clinics. METHODS: We conducted a rapid review and analysis of the literature that discusses approaches to increasing access to continuous care for patients with no PCP ('unattached patients'). RESULTS: Five distinct themes across 38 resources were identified: financial incentives for patients and providers, health care organization, policy intervention, virtual care and health information technology (HIT), and medical education. Approaches that increased attachment were primary care models that combined two or more of these and reflected the Patient's Medical Home (PMH) model. CONCLUSIONS: Although there are individual initiatives that could allow for temporary relief, long-term and community-wide success lies in designing models of primary care that use multiple tools, meet the needs of the community, and are supported by regional, provincial, and national policies.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.639
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0090.001
Bibliometrics0.0030.005
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0020.005
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0000.008

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 head0.310
GPT teacher head0.564
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations14
Published2023
Admission routes2
Has abstractyes

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