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Record W7132859719

Health Care Organizations Adopting Anchor Institute or Similar Practices: A Scoping Review

2022· dissertation· W7132859719 on OpenAlexaff
Nada Dali

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsInstitute of Health Services and Policy Research
Fundersnot available
KeywordsHealth careMandateLeverage (statistics)Community healthHealthcare systemSPARK (programming language)Multidisciplinary approachSocial determinants of healthHRHIS
DOInot available

Abstract

fetched live from OpenAlex

Health care organizations and systems have increasingly invested in prevention efforts and addressing upstream social determinants of health. Some of these institutions have worked to develop their role as “anchor institutions”: socially responsible entities that leverage their resources to build community wealth. A scoping review was completed to explore the state of the literature on health care organizations adopting “anchor practices” and more broadly investing in community needs. In total, 81 articles were included in the scoping review, which reflect academic articles and grey literature or reports with an analytical focus on health care organizations and systems adopting an anchor mandate or similar practices. Findings suggest there is a limited evidence base of health care organizations and systems adopting anchor mandates. The results of this research can help to spark health care organizations to think beyond their four walls and create shared value for their organization and the community.

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)0.047
metaresearch head score (Gemma)0.161
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.047
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0470.161
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0280.032
Science and technology studies0.0020.003
Scholarly communication0.0060.007
Open science0.0020.004
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.204
GPT teacher head0.589
Teacher spread0.385 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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