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Record W3199580210 · doi:10.1177/21501327211046436

Concept Analysis and Proposed Definition of <i>Community Health Center</i>

2021· review· en· W3199580210 on OpenAlexaff
Daniel A. Nagel, Lisa Keeping‐Burke, Isdore Chola Shamputa

Bibliographic record

VenueJournal of Primary Care & Community Health · 2021
Typereview
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsUniversity of New BrunswickUniversity of Manitoba
Fundersnot available
KeywordsCLARITYMedicineHealth carePopulation healthCommunity healthPopulationFormal concept analysisNursingKnowledge managementPublic healthComputer scienceEnvironmental healthPolitical science

Abstract

fetched live from OpenAlex

Background: Community health centers (CHCs) have been used for delivery of health services since the 1920s and originally were intended to provide care to underserved populations. CHCs have become an integral part of healthcare systems in many countries; however, the term CHC is used synonymously with other concepts and there is no clear definition for CHC. The purpose of our concept analysis was to determine how CHCs are described in the literature and to develop a concept definition for CHC. Methods: Informed by the 8-step process described by Walker and Avant, we searched for literature spanning disciplines within health, business, and policy. We used a systematic review process to identify a range of peer-reviewed articles that help illustrate the attributes, antecedents, and consequences of CHCs. A total of 102 articles from 7 databases were included in our concept analysis. Results: We distinguished 6 attributes of a CHC: primary care; accessibility; preventative care; defined population; health promotion; and comprehensive and integrated care. About 4 antecedents fundamental to a CHC included: secure funding; vision and support; adequate human resources; and governance structure. Consequences of CHCs are improved health outcomes, efficiency, and cost-effective provision of healthcare services. Conclusions: Our concept analysis revealed core characteristics of CHCs that assisted us in synthesizing a concept definition for CHC. These characteristics and our proposed definition will help provide clarity on the concept of CHC to benefit evaluation, research, and policy development of CHCs.

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)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.913
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0110.002
Bibliometrics0.0020.002
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.016
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 head0.168
GPT teacher head0.475
Teacher spread0.307 · 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
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

Citations11
Published2021
Admission routes1
Has abstractyes

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