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Record W3120905318 · doi:10.1136/bmjopen-2020-041579

Group practice impacts on patients, physicians and healthcare systems: a scoping review

2021· review· en· W3120905318 on OpenAlexaff
Terry Zwiep, San Ahn, Jamie Brehaut, Fady Balaa, Daniel I. McIsaac, Susan Rich, Tom Wallace, Husein Moloo

Bibliographic record

VenueBMJ Open · 2021
Typereview
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsOttawa HospitalWestern University
Fundersnot available
KeywordsMedicineMEDLINEHealth careFamily medicinePatient satisfactionNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: To identify the advantages and disadvantages that group practices have on patients, physicians and healthcare systems. STUDY DESIGN: . Titles and abstracts were screened by two reviewers. A quantitative analysis was performed to assess the type, year and region of publication, as well as the population studied. A qualitative descriptive analysis was performed to identify common themes. STUDY SETTING: MEDLINE, EMBASE and Cochrane databases were searched from database inception to October 2018 for papers which assessed outcomes relevant to the research question. RESULTS: Our search strategy returned 2408 papers and 98 were included in the final analysis. Most papers were from the USA, were surveys and assessed physician outcomes. Advantages of group practices for patients included improved satisfaction and quality of care. Studies of physicians reported improved quality of life and income, while disadvantages included increased stress due to poor interpersonal relationships. Studies of healthcare systems reported improved efficiency and better utilisation of resources. CONCLUSIONS: Group practices have many benefits for patients and physicians. However, further work needs to be done assessing patient outcomes and establishing the elements that make a group practice successful.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.383
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.238
GPT teacher head0.634
Teacher spread0.396 · 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 designSystematic review
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

Citations28
Published2021
Admission routes1
Has abstractyes

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