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Record W2153456887 · doi:10.12927/hcq.2012.22764

Annual Performance Appraisal: One Organization's Process and Retrospective Analysis of Outcomes

2012· article· en· W2153456887 on OpenAlexaff
E. Lynne Geddes, Caroline Gill

Bibliographic record

VenueHealthcare Quarterly · 2012
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsCARE Canada
Fundersnot available
KeywordsAuditPerformance appraisalAgency (philosophy)ChartHealth careQuality managementProcess (computing)Compliance (psychology)Quality (philosophy)MedicineNursingOperations managementProcess managementPsychologyBusinessService (business)ManagementComputer scienceEngineeringAccountingMarketingPolitical science

Abstract

fetched live from OpenAlex

Performance assessment of personnel is an important component of an organization's quality management program, benefiting the organization, individuals and clients. Performance appraisal is the most common method. This article describes the three-part performance appraisal tool used at the authors' organization, a private inter-professional healthcare agency providing rehabilitation services to clients in the community, and presents the results of a retrospective analysis of the outcomes. Performance appraisals of 13 personnel were randomly selected, representing 39 chart audits and 25 joint client visits. The achievement of mandatory chart audit standards demonstrated 95 ± 7.2% compliance; expected standards showed 96 ± 3.3% compliance. Qualitative findings from the joint visits and interviews showed that therapists enjoyed the process and experience, valued the feedback and appreciated the support they received. Benefits and challenges of the process were identified, resulting in new initiatives being implemented. The authors confirmed that the tool achieves its intended purpose and is relevant in the home care setting.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.024
GPT teacher head0.386
Teacher spread0.362 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2012
Admission routes1
Has abstractyes

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