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Record W7028560509

Exploring income security offered through primary care: a mixed-methods process evaluation

2019· dissertation· en· W7028560509 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsUniversity of ManitobaManitoba Health
Fundersnot available
KeywordsProgram evaluationProcess (computing)Service (business)Key (lock)Data collectionHealth careSocial security
DOInot available

Abstract

fetched live from OpenAlex

The objective of this study was to understand the components of a novel income security program offered through an inner-city primary health care team in Winnipeg, Manitoba. Through process evaluation, key patient characteristics and program components were considered, in accordance with the goals of a program-stakeholder evaluation committee. Both quantitative and qualitative data were collected via chart review, document summary, and interviews with both the program provider and multiple program participants. Mixed methods were incorporated into both data collection and data analysis to reflect key program processes and activities. The process evaluation revealed that the Income Security Health Promoter (ISHP) program, with one full-time service provider, provided comprehensive income security support services to 415 clients within its first 20 months of operation. Clients engaged in the program were medically complex, and received key services in the domains of income security supports (73.3%), associated service assistance (61.7%) (a category that includes housing, medication, food, and transportation), budgeting supports (50.0%), and referrals to other services (45.0%). Making contact and establishing relationships with clients was a prevalent feature of program activity (95%). The process evaluation was able to ascertain that the ISHP program operated consistently with the stated goals, and did so in a way that provided meaningful enrichment in the lives of program clients. These findings have implications for the development of further income security programs in other primary health care teams across the country.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.532
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.080
GPT teacher head0.346
Teacher spread0.266 · 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 designQualitative
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

Citations0
Published2019
Admission routes2
Has abstractyes

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