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Record W2110937293 · doi:10.1186/1472-6955-12-7

Conceptualizing performance of nursing care as a prerequisite for better measurement: a systematic and interpretive review

2013· article· en· W2110937293 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMC Nursing · 2013
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsOperationalizationCINAHLNursing researchNursing careNursingHealth careNursing managementNursing literatureConceptual frameworkNursing theoryMEDLINEPsychologyMedicineSociologyPsychological interventionEpistemologyAlternative medicinePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Despite the critical role of nursing care in determining high-performing healthcare delivery, performance science in this area is still at an early stage of development and nursing's contribution most often remains invisible to policy-makers and managers. The objectives of this study were: 1) to develop a theoretically based framework to conceptualize nursing care performance; 2) to analyze how the different components of the framework have been operationalized in the literature; and 3) to develop a pool of indicators sensitive to various aspects of nursing care that can be used as a basis for designing a performance measurement system. METHODS: We carried out a systematic review of published literature across three databases (MEDLINE, EMBASE and CINAHL), focusing on literature between 1990 and 2008. Screening of 2,103 papers resulted in final selection of 101 papers. A detailed template was used to extract the data. For the analysis, we used the method of interpretive synthesis, focusing first on 31 papers with theoretical or conceptual frameworks; the remaining 70 articles were used to strengthen and consolidate the findings. RESULTS: Current conceptualizations of nursing care performance mostly reflect a system perspective that builds on system theory, Donabedian's earlier works on healthcare organization, and Parsons' theory of social action. Drawing on these foundational works and the evidence collated, the Nursing Care Performance Framework (NCPF) we developed conceptualizes nursing care performance as resulting from three nursing subsystems that operate together to achieve three key functions: (1) acquiring, deploying and maintaining nursing resources, (2) transforming nursing resources into nursing services, and (3) producing changes in patients' conditions. Based on the literature review, these three functions are operationalized through 14 dimensions that cover 51 variables. The NCPF not only specifies core aspects of nursing performance, it also provides decision-makers with a conceptual tool to serve as a common ground from which to define performance, devise a common and balanced set of performance indicators for a given sector of nursing care, and derive benchmarks for this sector. CONCLUSIONS: The NCPF provides a comprehensive, integrated and theoretically based model that allows performance evaluation of both the overall nursing system and its subsystems. Such an approach widens the view of nursing performance to embrace a multidimensional perspective that encompasses the diverse aspects of nursing care.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score0.905

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.044
GPT teacher head0.333
Teacher spread0.288 · 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