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Impact of computerized provider order entry (CPOE) on length of stay and mortality.
Lyons, Ann M; Sward, Katherine A; Deshmukh, Vikrant G; Pett, Marjorie A; Donaldson, Gary W; Turnbull, Jim.
Afiliação
  • Lyons AM; Hospital Information Technology Services, Enterprise Data Warehouse, University of Utah Hospital and Clinics, Salt Lake City, UT, USA.
  • Sward KA; College of Nursing, University of Utah, Salt Lake City, UT, USA.
  • Deshmukh VG; Hospital Information Technology Services, Enterprise Data Warehouse, University of Utah Hospital and Clinics, Salt Lake City, UT, USA.
  • Pett MA; College of Nursing, University of Utah, Salt Lake City, UT, USA.
  • Donaldson GW; College of Nursing, University of Utah, Salt Lake City, UT, USA.
  • Turnbull J; Hospital Information Technology Services, Enterprise Data Warehouse, University of Utah Hospital and Clinics, Salt Lake City, UT, USA.
J Am Med Inform Assoc ; 24(2): 303-309, 2017 03 01.
Article em En | MEDLINE | ID: mdl-27402139
ABSTRACT

Objective:

To examine changes in patient outcome variables, length of stay (LOS), and mortality after implementation of computerized provider order entry (CPOE). Materials and

Methods:

A 5-year retrospective pre-post study evaluated 66 186 patients and 104 153 admissions (49 683 pre-CPOE, 54 470 post-CPOE) at an academic medical center. Generalized linear mixed statistical tests controlled for 17 potential confounders with 2 models per outcome.

Results:

After controlling for covariates, CPOE remained a significant statistical predictor of decreased LOS and mortality. LOS decreased by 0.90 days, P < .0001. Mortality decrease varied by model 1 death per 1000 admissions (pre = 0.006, post = 0.0005, P < .001) or 3 deaths (pre = 0.008, post = 0.005, P < .01). Mortality and LOS decreased in medical and surgical units but increased in intensive care units.

Discussion:

This study examined CPOE at multiple levels. Given the inability to randomize CPOE assignment, these results may only be applicable to the local setting. Temporal trends found in this study suggest that hospital-wide implementations may have impacted nursing staff and new residents. Differences in the results were noted at the patient care unit and room levels. These differences may partly explain the mixed results from previous studies.

Conclusion:

Controlling for confounders, CPOE implementation remained a statistically significant predictor of LOS and mortality at this site. Mortality appears to be a sensitive outcome indicator with regard to hospital-wide implementations and should be further studied.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mortalidade Hospitalar / Sistemas de Registro de Ordens Médicas / Tempo de Internação Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mortalidade Hospitalar / Sistemas de Registro de Ordens Médicas / Tempo de Internação Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male Idioma: En Revista: J Am Med Inform Assoc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos