Usability Testing of PROCEnf-USP: A Clinical Decision Support System

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Citações na Scopus
5
Tipo de produção
conferenceObject
Data de publicação
2015
Título da Revista
ISSN da Revista
Título do Volume
Editora
IOS PRESS
Autores
PERES, Heloisa Helena Ciqueto
CRUZ, Dina de Almeida Lopes Monteiro da
TELLEZ, Michelle
SILVA, Rita de Cassia Gengo e
DIOGO, Regina Celia dos Santos
Citação
MEDINFO 2015: EHEALTH-ENABLED HEALTH, v.216, p.247-250, 2015
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Decision support systems (DSSs) are recognized as important tools, capable of processing high volumes of data and increasing productivity. The usability of these tools affects their effectiveness. By evaluating the interactions between registered nurses (RNs) and the DSSs, this study explores how they impact RN decision-making. This study analyzed 24 months (2011-2012) of data collected in Brazil in two units of a large, public, urban hospital in Sao Paulo that uses a nurse documentation system with an embedded DSS based on NANDA-I. Using mixed effects logistic regression, this study analyzed the agreement between RNs and a DSS when selecting nursing diagnoses. Results suggest that the agreement is mediated by characteristics of the RNs (education and experience) as well as units and year of encounter. Surprisingly, disagreement between RN and DSS when selecting defining characteristics (DC) had positive effects on the odds of agreement on diagnoses. Our results suggest that DSSs support nurses' clinical decision making, but the nurse's clinical judgment is the mediating factor. More research is necessary.
Palavras-chave
Nursing Information System, NANDA-I, Nursing Diagnoses, Classification System, Behavioral Model
Referências
  1. AKAIKE H, 1974, IEEE T AUTOMAT CONTR, VAC19, P716, DOI 10.1109/TAC.1974.1100705
  2. BENNER P, 1982, AM J NURS, V82, P402, DOI 10.2307/3462928
  3. Peres HHC, 2009, REV ESC ENFERM USP, V43, P1149, DOI 10.1590/S0080-62342009000600002
  4. Committee on Quality of Health Care in America Institute of Medicine, 2001, CROSSING QUALITY CHA
  5. [Committee on the Robert Wood Johnson Foundation Initiative on the Future of Nursing National Academies of Science], 2010, FUT NURS FOC ED
  6. Donabedian A., 1980, DEFINITION QUALITY A
  7. Garcez Regina Machado, 2007, DIAGN ENF NANDA DEF
  8. Kelley TF, 2011, J NURS SCHOLARSHIP, V43, P154, DOI 10.1111/j.1547-5069.2011.01397.x
  9. Kohn LT, 2000, ERR IS HUMAN BUILDIN
  10. Lunney M, 2003, REV ESC ENFERM USP, V37
  11. Martins TYC, 2014, THESIS
  12. Scheffler RM, 2012, HUMAN RESOURCES HLTH
  13. SCHWARZ G, 1978, ANN STAT, V6, P461, DOI 10.1214/aos/1176344136
  14. Smith M, 2012, BEST CARE LOWER COST