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Record W2160881104 · doi:10.1093/intqhc/mzq031

Validation of the measure of processes of care for adults: a measure of client-centred care

2010· article· en· W2160881104 on OpenAlexaffabout
Elena L. Bamm, Peter Rosenbaum, Paul W. Stratford

Bibliographic record

VenueInternational Journal for Quality in Health Care · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCronbach's alphaIntraclass correlationMedicineReliability (semiconductor)Patient satisfactionMeasure (data warehouse)Family medicineTest (biology)Quality (philosophy)Physical therapyNursingPsychologyClinical psychologyPsychometricsData mining

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the psychometric properties of the measure of processes of care for adults (MPOC-A), a measure of client-centredness of care for parents of children with disabilities, adapted for adult health-care settings. DESIGN: A validation study. SETTING: Regional orthopaedic service of a university-affiliated hospital in ON, Canada. PARTICIPANTS: All patients and families who had had joint replacement surgery (Knee or Hip) between January and August of 2007. MAIN OUTCOME MEASURES: MPOC-A and the client satisfaction questionnaire (CSQ). RESULTS: One hundred and seventy-six questionnaires filled out by patients and 81 by family members were analysed. Scales demonstrated high internal consistency (Cronbach's alpha varying from 0.81 to 0.93 for patients and from 0.88 to 0.96 for family members). MPOC-A domain scores were moderately correlated with CSQ total scores (Pearson coefficients varying from 0.44 to 0.66 for patients and from 0.53 to 0.72 for family members). Moderate to good inter-rater agreement [intraclass correlation coefficient (ICC) from 0.50 to 0.74] and high test-retest reliability were found (ICCs varying from 0.73 to 0.83 for patients and from 0.75 to 0.91 for family members). CONCLUSIONS: MPOC-A has demonstrated good psychometric properties. As general satisfaction scores are notoriously poor indicators of the quality of care, this measure can help us understand the elements that contribute to overall judgements of satisfaction and provide a level of understanding that is important to improve service quality and delivery.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.115
GPT teacher head0.493
Teacher spread0.378 · 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

Citations24
Published2010
Admission routes2
Has abstractyes

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