Literature DB >> 19535002

Patient-level analysis of outcomes using structured labor and delivery data.

Eric S Hall1, Mollie R Poynton, Scott P Narus, Spencer S Jones, R Scott Evans, Michael W Varner, Sidney N Thornton.   

Abstract

This paper presents methods for identifying and analyzing associations among nursing care processes, patient attributes, and patient outcomes using unit-level and patient-level representations of care derived from computerized nurse documentation. The retrospective, descriptive analysis included documented nursing events for 900 Labor and Delivery patients at three hospitals over the 2-month period of January and February 2006. Two models were used to produce quantified measurements of nursing care received by each patient. The first model considered only the hourly census of nurses and patients. The second model considered the size of nurses' patient loads as represented by computerized nurse-entered documentation. Significant relationships were identified between durations of labor and nursing care scores generated by the second model. In addition to the clinical associations identified, the study demonstrated an approach with global application for representing the amount of nursing care received at the individual patient level in analyses of patient outcomes.

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Year:  2009        PMID: 19535002      PMCID: PMC2706298          DOI: 10.1016/j.jbi.2009.01.008

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  40 in total

1.  Development and validation of the Nurse-Midwifery Clinical Data Set.

Authors:  D Greener
Journal:  J Nurse Midwifery       Date:  1991 May-Jun

2.  ANA quality indicators: meaningful measurement.

Authors:  J Blecke; S Decker
Journal:  Mich Nurse       Date:  1997-10

3.  A spurious correlation between hospital mortality and complication rates: the importance of severity adjustment.

Authors:  J H Silber; P R Rosenbaum
Journal:  Med Care       Date:  1997-10       Impact factor: 2.983

4.  International Classification of Diseases, 9th Revision, Clinical Modification codes in discharge abstracts are poor measures of complication occurrence in medical inpatients.

Authors:  J M Geraci; C M Ashton; D H Kuykendall; M L Johnson; L Wu
Journal:  Med Care       Date:  1997-06       Impact factor: 2.983

5.  Nine equivalents of nursing manpower use score (NEMS).

Authors:  D Reis Miranda; R Moreno; G Iapichino
Journal:  Intensive Care Med       Date:  1997-07       Impact factor: 17.440

6.  Therapeutic intervention scoring system: a method for quantitative comparison of patient care.

Authors:  D J Cullen; J M Civetta; B A Briggs; L C Ferrara
Journal:  Crit Care Med       Date:  1974 Mar-Apr       Impact factor: 7.598

7.  Therapeutic Intervention Scoring System: update 1983.

Authors:  A R Keene; D J Cullen
Journal:  Crit Care Med       Date:  1983-01       Impact factor: 7.598

8.  Interspecialty differences in the obstetric care of low-risk women.

Authors:  R A Rosenblatt; S A Dobie; L G Hart; R Schneeweiss; D Gould; T R Raine; T J Benedetti; M J Pirani; E B Perrin
Journal:  Am J Public Health       Date:  1997-03       Impact factor: 9.308

9.  Outcomes of care in birth centers. The National Birth Center Study.

Authors:  J P Rooks; N L Weatherby; E K Ernst; S Stapleton; D Rosen; A Rosenfield
Journal:  N Engl J Med       Date:  1989-12-28       Impact factor: 91.245

10.  Time oriented score system (TOSS): a method for direct and quantitative assessment of nursing workload for ICU patients. Italian Multicenter Group of ICU research (GIRTI).

Authors: 
Journal:  Intensive Care Med       Date:  1991       Impact factor: 17.440

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  1 in total

1.  The association between attendance of midwives and workload of midwives with the mode of birth: secondary analyses in the German healthcare system.

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Journal:  BMC Pregnancy Childbirth       Date:  2014-09-02       Impact factor: 3.007

  1 in total

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