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Record W2039213534 · doi:10.1097/hcm.0b013e31827edbfe

Does the Planetree Patient-Centered Approach to Care Pay Off?

2013· article· en· W2039213534 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Health Care Manager · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsStaffingRevenueBurnoutWork (physics)Health careBusinessRehabilitationPatient satisfactionPublic relationsNursingMarketingFinancePsychologyMedicineEconomicsPolitical science

Abstract

fetched live from OpenAlex

Although the Planetree patient-centered approach to care is being implemented in many institutions around the world, its impact is still the subject of some debate. On the one hand, it is viewed as the most cost-effective way to provide care and create a positive work environment that reduces staff burnout. On the other hand, it is argued that it requires higher staffing ratios and a substantial infusion of financial resources and is time consuming, which in turn results in more work. The present study addresses the economic agenda of the Planetree patient-centered approach to care and has been designed to answer the following question: do the advantages of the Planetree patient-centered approach outweigh its costs? This question is of considerable interest for health care administrators and managers because the relevant authorities the world over have limited resources to allocate to health care organizations. Using a trend analysis approach to cost-benefit in a rehabilitation center, this study shows that the revenues the model generates are greater than the costs of implementing it. Fewer grievances and vacant positions, an improved employee retention rate, a better working atmosphere, and a high level of employee satisfaction (higher than in similar establishments) were also noted.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.882
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.033
GPT teacher head0.246
Teacher spread0.214 · 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