TY - JOUR
T1 - The contribution of the Rasch model to the clinical validation of nursing diagnoses
T2 - integrative literature review
AU - Oliveira-Kumakura, Ana Railka de Souza
AU - Caldeira, Sílvia
AU - Simão, Talita Prado
AU - Camargo-Figuera, Fabio Alberto
AU - Cruz, Diná de Almeida Lopes Monteiro da
AU - Carvalho, Emília Campos de
PY - 2018/4
Y1 - 2018/4
N2 - PURPOSE: To analyze the knowledge related to the use of the Rasch model in validation of nursing diagnoses. METHODS: Integrative literature review with search in LILACS, PUBMED, CINAHL, and SCOPUS. FINDINGS: Five studies comprised the sample, which analyzed unidimensionality, local independence, item calibration, item reliability, separation of items and people, and differential item functioning for analyzing nursing diagnoses. CONCLUSIONS: The Rasch model seems to be a useful method to validate nursing diagnoses and probably also for the validation of nursing outcomes in the Nursing Outcomes Classification. The use of this model is promising, considering the advantages that it can be used in studies with several methodological designs. IMPLICATIONS FOR NURSING: Methods that are able to provide more robust evidence of nursing diagnosis validity are needed to support highly accurate diagnostic findings in clinical practice.
AB - PURPOSE: To analyze the knowledge related to the use of the Rasch model in validation of nursing diagnoses. METHODS: Integrative literature review with search in LILACS, PUBMED, CINAHL, and SCOPUS. FINDINGS: Five studies comprised the sample, which analyzed unidimensionality, local independence, item calibration, item reliability, separation of items and people, and differential item functioning for analyzing nursing diagnoses. CONCLUSIONS: The Rasch model seems to be a useful method to validate nursing diagnoses and probably also for the validation of nursing outcomes in the Nursing Outcomes Classification. The use of this model is promising, considering the advantages that it can be used in studies with several methodological designs. IMPLICATIONS FOR NURSING: Methods that are able to provide more robust evidence of nursing diagnosis validity are needed to support highly accurate diagnostic findings in clinical practice.
KW - Nursing diagnosis
KW - Psychometry
KW - Validation studies
UR - http://www.scopus.com/inward/record.url?scp=84999025273&partnerID=8YFLogxK
U2 - 10.1111/2047-3095.12162
DO - 10.1111/2047-3095.12162
M3 - Article
C2 - 27781407
AN - SCOPUS:84999025273
SN - 2047-3087
VL - 29
SP - 89
EP - 96
JO - International journal of nursing knowledge
JF - International journal of nursing knowledge
IS - 2
ER -