Literature DB >> 1807637

Evaluation of UNIS: Urological Nursing Information Systems.

K Petrucci1, P Petrucci, K Canfield, K A McCormick, K Kjerulff, P Parks.   

Abstract

Unis is a nurse expert system prototype specifically designed to assist nurses caring for elderly, incontinent patients residing in nursing homes. Two studies measuring the performance level of UNIS were implemented. In the first study, results of sessions with UNIS on case studies of elderly, incontinent patients were compared to sessions with nurse experts. The relevance of questions, value of recommendations and overall performance were rated by an evaluation panel. In the second study, UNIS was implemented on two nursing units in a nursing home. The number of wet occurrences of patients residing on units where UNIS was consulted by nurses was compared to the number of wet occurrences of patients residing on units where UNIS was not consulted by nurses. The knowledge of urinary incontinence of nurses who consulted UNIS and those who did not consult UNIS were also compared. The results indicate that when judged by an evaluation panel, the relevance of the questions and value of the recommendations generated by UNIS were not rated significantly different than ratings assigned to nurse experts consulting on the same case studies. There was a significant difference between assigned ratings for overall performance; F.01 (4,16) = 10.4. UNIS scored the highest on four out of five case studies. In the second study, the number of wet occurrences of patients residing on units where nurses consulted UNIS decreased significantly; F.01 (2,9) = 34.67. The knowledge of urinary incontinence also improved significantly when nurses' consulted UNIS; F.001 (2,157) = 19.46. The methods and results of these two studies are presented.

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Mesh:

Year:  1991        PMID: 1807637      PMCID: PMC2247492     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  1 in total

1.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

  1 in total
  4 in total

Review 1.  Considering clustering: a methodological review of clinical decision support system studies.

Authors:  J H Chuang; G Hripcsak; R A Jenders
Journal:  Proc AMIA Symp       Date:  2000

Review 2.  Computer-generated patient education materials: do they affect professional practice? A systematic review.

Authors:  Shaun P Treweek; Claire Glenton; Andrew D Oxman; Alister Penrose
Journal:  J Am Med Inform Assoc       Date:  2002 Jul-Aug       Impact factor: 4.497

3.  Online practice guidelines: issues, obstacles, and future prospects.

Authors:  R D Zielstorff
Journal:  J Am Med Inform Assoc       Date:  1998 May-Jun       Impact factor: 4.497

Review 4.  Computerized clinical decision support systems for chronic disease management: a decision-maker-researcher partnership systematic review.

Authors:  Pavel S Roshanov; Shikha Misra; Hertzel C Gerstein; Amit X Garg; Rolf J Sebaldt; Jean A Mackay; Lorraine Weise-Kelly; Tamara Navarro; Nancy L Wilczynski; R Brian Haynes
Journal:  Implement Sci       Date:  2011-08-03       Impact factor: 7.327

  4 in total

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