Background: Hospital-acquired pressure ulcers (HAPUs) are largely preventable yet still common occurrences in hospitals. The purpose of the current study is to determine how data from the electronic medical record can be used to better understand and predict HAPU formation over the course of a hospital admission. Methods: A case-control study on HAPUs was performed over an 8-month period at Yale New Haven Hospital. A Cox regression analysis model analyzed the impact of multiple factors on HAPU development including friction and shear, among other Braden score components. A receiver operating characteristic curve was calculated to determine the sensitivity and specificity of changes in these factors in predicting HAPU development. Results: On a sample of 8,790 admissions, HAPU incidence was 4.2% over the study period (6.3% per annum). The average hospital day for HAPU development was day 15.6 ( 19.3). The Cox regression analysis demonstrated that the volatility of the friction and shear component of Braden scores had a risk ratio of 28.6 (P < 0.01; CI, 14.5-56.4). Volatility in the friction and shear component was the most predictive factor with a high receiver operating characteristic curve area of 0.865 (CI, 0.847-0.882). Conclusions: Volatility of the friction and shear component of Braden scores appears to be the most significant factor preceding HAPU development at Yale New Haven Hospital. Efforts to place more focus on identifying and reducing volatility of this factor may help decrease HAPU risk for future patients.
机构:
Seoul Natl Univ, Coll Nursing, 103 Daehak Ro, Seoul 110799, South KoreaSeoul Natl Univ, Coll Nursing, 103 Daehak Ro, Seoul 110799, South Korea
Park, Seul Ki
Park, Hyeoun-Ae
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Seoul Natl Univ, Coll Nursing, 103 Daehak Ro, Seoul 110799, South Korea
Seoul Natl Univ, Res Inst Nursing Sci, Seoul, South KoreaSeoul Natl Univ, Coll Nursing, 103 Daehak Ro, Seoul 110799, South Korea
机构:
Michigan State Univ, Dept Epidemiol & Biostat, B629 West Fee,909 West Fee Rd, E Lansing, MI 48824 USAMichigan State Univ, Dept Epidemiol & Biostat, B629 West Fee,909 West Fee Rd, E Lansing, MI 48824 USA
Gardiner, Joseph C.
Reed, Philip L.
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Michigan State Univ, Clin & Translat Sci Inst, B629 West Fee,909 West Fee Rd, E Lansing, MI 48824 USA
Michigan State Univ, Biomed Res Informat Core, B629 West Fee,909 West Fee Rd, E Lansing, MI 48824 USAMichigan State Univ, Dept Epidemiol & Biostat, B629 West Fee,909 West Fee Rd, E Lansing, MI 48824 USA
Reed, Philip L.
Bonner, Joseph D.
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CHE Trinity Hlth, Informat Technol Serv, Data Governance & Res, Livonia, MI USAMichigan State Univ, Dept Epidemiol & Biostat, B629 West Fee,909 West Fee Rd, E Lansing, MI 48824 USA
Bonner, Joseph D.
Haggerty, Diana K.
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Michigan State Univ, Dept Epidemiol & Biostat, B629 West Fee,909 West Fee Rd, E Lansing, MI 48824 USAMichigan State Univ, Dept Epidemiol & Biostat, B629 West Fee,909 West Fee Rd, E Lansing, MI 48824 USA
Haggerty, Diana K.
Hale, Daniel G.
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CHE Trinity Hlth, Informat Technol Serv, Data Governance & Res, Livonia, MI USAMichigan State Univ, Dept Epidemiol & Biostat, B629 West Fee,909 West Fee Rd, E Lansing, MI 48824 USA
机构:
Univ Utah, Hartford Ctr Geriatr Nursing Excellence, Salt Lake City, UT USAUniv Utah, Hartford Ctr Geriatr Nursing Excellence, Salt Lake City, UT USA
Alderden, Jenny
Whitney, JoAnne D.
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Univ Washington, Sch Nursing, Seattle, WA 98195 USA
Univ Washington, Harborview Med Ctr, Seattle, WA 98104 USAUniv Utah, Hartford Ctr Geriatr Nursing Excellence, Salt Lake City, UT USA
Whitney, JoAnne D.
Taylor, Shirley M.
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Univ Washington, Harborview Med Ctr, Seattle, WA 98104 USAUniv Utah, Hartford Ctr Geriatr Nursing Excellence, Salt Lake City, UT USA
Taylor, Shirley M.
Zaratkiewicz, Sunniva
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Univ Washington, Harborview Med Ctr, Seattle, WA 98104 USAUniv Utah, Hartford Ctr Geriatr Nursing Excellence, Salt Lake City, UT USA