Literature DB >> 23157307

The new version of a patient classification instrument: assessment of psychometric properties.

Marcia Galan Perroca1.   

Abstract

AIMS: This paper assessed the reliability and construct validity of the new version of a patient classification instrument.
BACKGROUND: In the development of patient classification instruments, monitoring validity and reliability is essential to assure that patient care requirements and nursing staff workload are appropriately measured. DESIGN
METHOD: The sample included 194 patients (construct validity test) and 60 patients (inter-rater reliability test) at medical, surgical, and specialized wards of a teaching hospital in the south east of Brazil. The study was conducted in 2009-2010. For analysis purposes, Spearman's correlation and Cronbach's alpha (internal consistency) were used, and weighted kappa (inter-rater reliability), factor analysis with principal axis factoring extraction method (construct validity) and ordinal regression (instrument's predictive ability).
RESULTS: A high level of inter-rater agreement was found. The importance of all care areas and their contribution to distinguish patient care needs and category in the new instrument were demonstrated. Results also showed the instrument's high predictive ability (99·6%).
CONCLUSION: The findings give the evidence that the new scale is a reliable and valid tool to assess patient care needs and care category and that it can be used to guide nursing management practice in determining the nursing staff workload.
© 2012 Blackwell Publishing Ltd.

Entities:  

Keywords:  instrument development; nursing care intensity; patient classification; reliability; validity; workload measurement

Mesh:

Year:  2012        PMID: 23157307     DOI: 10.1111/jan.12038

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  5 in total

1.  Creating and validating an instrument to identify the workload at an oncology and hematology outpatient service.

Authors:  Lelia Gonçalves Rocha Martin; Raquel Rapone Gaidzinski
Journal:  Einstein (Sao Paulo)       Date:  2014-09

2.  Assessment of the nursing care product (APROCENF): a reliability and construct validity study.

Authors:  Danielle Fabiana Cucolo; Márcia Galan Perroca
Journal:  Rev Lat Am Enfermagem       Date:  2017-04-06

3.  The qualitative dimension of Nursing workload: a measurement proposal.

Authors:  Danielle Fabiana Cucolo; Marcia Galan Perroca
Journal:  Rev Lat Am Enfermagem       Date:  2019-12-05

4.  Nursing workload, nurse staffing methodologies and tools: A systematic scoping review and discussion.

Authors:  Peter Griffiths; Christina Saville; Jane Ball; Jeremy Jones; Natalie Pattison; Thomas Monks
Journal:  Int J Nurs Stud       Date:  2019-11-29       Impact factor: 5.837

5.  Care management: agreement between nursing prescriptions and patients' care needs.

Authors:  Marília Silveira Faeda; Márcia Galan Perroca
Journal:  Rev Lat Am Enfermagem       Date:  2016-08-08
  5 in total

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