The relationship between hospital systems load and patient harm.
| Title: | The relationship between hospital systems load and patient harm. |
|---|---|
| Authors: | Pedroja AT; From the *ATP Healthcare Services, LLC Northridge; †Emerita Community Health Systems, School of Nursing University of California San Francisco San Francisco; ‡BEACON The Bay Area Patient Safety Collaborative Roseville, California; §Department of Statistics University of Kentucky Lexington, Kentucky; and #Cynosure Health, Roseville, California.; Blegen MA; Abravanel R; Stromberg AJ; Spurlock B |
| Source: | Journal of patient safety [J Patient Saf] 2014 Sep; Vol. 10 (3), pp. 168-75. |
| Publication Type: | Journal Article; Observational Study; Research Support, Non-U.S. Gov't |
| Language: | English |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 101233393 Publication Model: Print Cited Medium: Internet ISSN: 1549-8425 (Electronic) Linking ISSN: 15498417 NLM ISO Abbreviation: J Patient Saf Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Philadelphia, Pa. : Lippincott Williams & Wilkins, c2005- |
| MeSH Terms: | Workload*; Medical Errors/*statistics & numerical data ; Patient Harm/*statistics & numerical data; Hospitals/statistics & numerical data ; Medical Errors/adverse effects ; California ; Delivery of Health Care ; Factor Analysis, Statistical ; Health Services Research ; Hospital Administration ; Humans ; Patient Safety |
| Abstract: | Objectives: The objective of this study was to describe the relationship between patient harm due to health-care errors and the stresses on the hospital systems that occur because of the patients in need of care.; Methods: Two California hospitals each provided 1 year of data to study the relationship between patient harm and Hospital Systems Load. This observational study used 2 metrics, Hospital Systems Load and patient harm. Hospital Systems Load was a composite measure consisting of the areas in the hospital most sensitive to intensity of service developed using factor analysis and clinical judgment to select the components. Patient harm was assessed using a weighted measure of all hospital incidents occurring during a single day and another controlling for census. Analyses were performed separately for each hospital, and each was broken up into weekdays and weekends. These 8 conditions were compared using a Pearson's r and a trend analysis.; Results: Patient harm trended upward as the Hospital Systems Load increased. Six of the 8 analyses were statistically significant.; Conclusions: The results of this analysis are highly suggestive of a relationship between Hospital Systems Load and patient harm. |
| Entry Date(s): | Date Created: 20140214 Date Completed: 20141107 Latest Revision: 20260128 |
| Update Code: | 20260130 |
| DOI: | 10.1097/PTS.0b013e31829e4f82 |
| PMID: | 24522222 |
| Database: | MEDLINE |
Journal Article; Observational Study; Research Support, Non-U.S. Gov't