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.
AminL.RosenbaumP.BarrR.SungL.KlaassenR. J.DixD. B.KlassenA. (2012). Rasch analysis of the PedsQL: An increased understanding of the properties of a rating scale. Journal of Clinical Epidemiology, 65(10), 1117–1123.
2.
BondT. G.FoxC. M. (2015). Applying the Rasch model: Fundamental measurement in the human sciences (3rd ed.). New York: Routledge.
3.
BragaC. G.CruzD. A. L. M. (2005). Sentimento de impotência: Diferenciação de outros diagnósticos e conceitos. Revista da Escola de Enfermagem da USP, 39(3), 350–357.
4.
CaldeiraS.CarvalhoE.VieiraM. (2014). Between spiritual wellbeing and spiritual distress: Possible related factors in elderly patients with cancer. Revista Latino Americana de Enfermagem, 22(1), 28–34.
5.
CampbellD. T.StanleyJ. C. (1963). Experimental and quasi-experimental designs for research on teaching. In GageN. L. (Ed.), Handbook of research on teaching (pp. 171–246). Chicago, IL: Rand McNally.
6.
CanoS. J.KlassenA. F.ScottA. M.CordeiroP. G.PusicA. L. (2012). The BREAST-Q: Further validation in independent clinical samples. Plastic and Reconstructive Surgery, 129(2), 293–302.
7.
CavalcanteT. F.AraujoT. L.MoreiraR. P.GuedesN. G.LopesM. V. O.SilvaV. M. (2013). Validação clínica do diagnóstico de enfermagem “risco de aspiração” em pacientes com acidente cerebrovascular. Revista Latino Americana de Enfermagem, 21(Spec):[09 telas].
8.
ChavesE. C. L.CarvalhoE. C.RossiL. A. (2008). Validação de diagnósticos de enfermagem: Tipos, modelos e componentes validados. Revista Eletrônica de Enfermagem, 10(2), 513–520.
9.
ChavesE. H. B.BarrosA. L. B. L.MariniM. (2010). Aging as a related factor of the nursing diagnosis impaired memory: Content validation. International Journal of Nursing Terminologies and Classifications, 21(1), 14–20.
10.
ChenW. H.LenderkingW.JinY.WyrwichK. W.GelhornH.RevickiD. A. (2014). Is Rasch model analysis applicable in small sample size pilot studies for assessing item characteristics? An example using PROMIS pain behavior item bank data. Quality of Life Research, 23(2), 485–593.
11.
FigueiraF. A. C.Orozco-VargasL. C. (2015). Evolución de la validación de los diagnósticos de enfermería. Memorias II Congreso Latinoamericano Nanda – International. Evolución del Cuidado de Enfermería desde el Lenguaje Estandarizado NANDA NIC NOC 11–13 de junio Universidad Industrial de Santander. Escuela de Enfermería – Facultad de Salud. 26–27.
12.
FingerR. P.FenwickE.OwsleyC.HolzF. G.LamoureuxE. L. (2011). Visual functioning and quality of life under low luminance: Evaluation of the German low luminance questionnaire. Investigative Ophthalmology & Visual Science, 52(11), 8241–8249.
13.
FingerR. P.KortuemK.FenwickE.VonLivoniusB.KeeffeJ. E.HirneissC. W. (2013). Evaluation of a vision-related utility instrument: The German vision and quality of life index. Investigative Ophthalmology & Visual Science, 54(2), 1289–1294.
14.
FletcherR. H.FletcherS. W.WagnerE. H. (1991). Epidemiologia Clínica. Bases Científicas da Conduta Médica. Porto Alegre: Artes Médicas, 2ed.
15.
GómezE. P.Orozco-VargasL. C.FigueraF. A. C.AlfonsoE. P. H.PeñaE. R. V.VillabonaL. N. A.AcevedoY. G. (2011). Ineffective breastfeeding: Prevalence and associated factors. Revista de la Universidad Industrial de Santander. Salud, 43(3), 271–279.
16.
GómezE. P.VargasL. C. O.FigueraF. A. C.BerríoJ. A.MorenoL. X. M. (2012). Bullying en adolescentes escolarizados: Validación del diagnóstico de enfermería riesgo de violencia dirigida a otros. Revista Hacia la Promoción de la Salud, 7(1), 45–58.
17.
GordonM.SweeneyM. A. (1979). Methodological problems and issues in identifying and standardizing nursing diagnoses. Advances in Nursing Science, 2(1), 1–15.
18.
GuevaraS. L. C.ParraD. I.Orozco-VargasL. C.SánchezL. Z. R. (2015). Validación de la etiqueta de resultado de enfermería para la medición de la adherencia al tratamiento. II Congreso Latinoamericano NANDA INTERNATIONAL.
19.
HoskinsL. M. (1989). Clinical validation, methodologies for nursing diagnoses research. In Carroll-JohnsonR. M. (Ed.), Classification of nursing diagnoses. Proceedings of the eighth conference of North American Nursing Diagnosis Association (pp. 126–131). Philadelphia: JB Lippincott.
20.
LillemoenL.PedersenR. (2012). Ethical challenges and how to develop ethics support in primary health care. Nursing Ethics, 20(1), 96–108.
21.
LopesM. V. O.SilvaV. M.AraujoT. L. (2013). Validação de diagnósticos de enfermagem: Desafios e alternativas. Revista Brasileira de Enfermagem, 66(5), 649–655.
22.
LopesM. V. O.SilvaV. M.AraujoT. L.Silva FilhoJ.V. (2014). Statistical characteristics of the weighted inter-rater reliability index for clinically validating nursing diagnoses. International Journal of Nursing Knowledge, 26(4), 1–6.
23.
MessickS. (1995). Validity of psychological assessment. Validation of inferences from person's responses and performances as scientific inquiry into score meaning. American Psychologist, 50(9),741–749.
24.
Orozco-VargasL. C. (2013). Métodos para validação de diagnósticos de enfermagem – Modelo Rasch. In HerdmanT. H.. PRONANDA Ciclo 1.2:101-24.
25.
Orozco-VargasL. C.Villamizar-CarvajalB.Vargas-PorrasC. (2015). Impaired parenting (00056) in primiparous mothers: Clinical validation through Rasch analysis. Aquichan, 15(2), 176–187.
26.
ParkerL.LunneyM. (1998). Moving beyond content validation of nursing diagnoses. International Journal of Nursing Knowledge, 9(4), 144–150.
27.
PasqualiL. (2009). Psychometrics. Revista da Escola de Enfermagem da USP, 43, 992–999.
28.
Páez-EstebanA. N.Caballero-DíazL. P.López-BarbosaN.Oróstegui-ArenasM.Orozco-VargasL. C.Valencia-AngelL. I. (2014). Construct validity of an instrument to assess patient adherence to antihypertensive treatment. Enfermería Global, 1(34), 48–57.
SilvaR. C. G.GuedesE. S.CruzD. A. L. M. (2014). Ineffective peripheral tissue perfusion: Construct validation using Rasch analysis. 25 TH International Nursing Research Congress.
31.
SmithA. B.RushR.FallowfieldL. J.VelikovaG.SharpeM. (2008). Rasch fit statistics and sample size considerations for polytomous data. BMC Medical Research Methodology, 8(33), 1–11. doi: 10.1186/1471-2288-8-33.
32.
TabachnickB. G.FidellL. S. (2012). Using multivariate statistics (6th ed., 983 p.). Boston: Pearson.
33.
TeixeiraI. X.LopesM. V. O.MartinsL. C. G.DinizC. M.MenezesA. P.AlvesN. P. (2015). Validation of clinical indicators of imbalanced nutrition: Less than body requirements in early childhood. Journal of Pediatric Nursing, 31(2), 179–186. doi: 10.1016/j.pedn.2015.02.011http://www.ncbi.nlm.nih.gov/pubmed/25770707
34.
TufanaruC.HuangW. J.TsayS. F.ChouS. S. (2012). Statistics for systematic review authors. Philadelphia: Lippincott.
35.
WhittemoreR.KnaflK. (2005). The integrative review: Update methodology. Journal of Advanced Nursing, 52(5), 546–553.
36.
WolfeE. W.SmithE. V. (2007). Instrument development tools and activities for measure validation using Rasch models: Part I and Part II -Instrument development tools. In SmithE. V.SmithR. M. (Eds.). Rasch measurement: Advanced and specialized applications (pp. 202–290). Maple Grove, MN: JAM Press.
