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Record W1559622099

Assessing quality of life for clients of Langs Farm Village Association: A case for inclusion of the social determinants of health approach in addressing quality of life in a community health centre setting

2006· article· en· W1559622099 on OpenAlexaboutno aff
Annette A. Penney

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2006
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Quality and Satisfaction
Canadian institutionsnot available
Fundersnot available
KeywordsQuality (philosophy)Association (psychology)Inclusion (mineral)Quality of life (healthcare)GerontologyMedicinePsychologySociologySocial scienceNursing
DOInot available

Abstract

fetched live from OpenAlex

In my master’s thesis research I investigated the relationship between participant inclusion in Langs Farm Village Association, a local community health centre, and quality of life. A quality of life survey which I developed based on prior research conducted by the Canadian Policy Research Network (2001) was administered to 130 individuals, 65 participants who attended a program and/or service at Langs (Langs group), and 65 participants who did not (non-Langs group). Results of multivariate ANOVA indicated group differences of statistical significance on four out of eleven subscales of my quality of life survey. Community residents who participated in a program or service at Langs Farm Village Association reported higher quality of life on three out of eleven survey subscales. I have described and explained factors associated with quality of life for Langs’ participants related to these survey results. In concluded that quality of life can be improved for community residents (especially those who are most vulnerable or at-risk) who access programs and/or services at Langs. My findings are discussed in terms of addressing the social determinants of health through a community health centre setting in order to improve quality of life for its participants and patients.

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)0.020
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.172
GPT teacher head0.453
Teacher spread0.280 · 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 designObservational
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
Published2006
Admission routes1
Has abstractyes

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