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Effect of Present-on-Admission (POA) Reporting Accuracy on Hospital Performance Assessments Using Risk-Adjusted Mortality.
- Source :
-
Health services research [Health Serv Res] 2015 Jun; Vol. 50 (3), pp. 922-38. Date of Electronic Publication: 2014 Oct 06. - Publication Year :
- 2015
-
Abstract
- Objective: To evaluate how the accuracy of present-on-admission (POA) reporting affects hospital 30-day acute myocardial infarction (AMI) mortality assessments.<br />Data Sources: A total of 2005 California patient discharge data (PDD) and vital statistics death files.<br />Study Design: We compared hospital performance rankings using an established model assessing hospital performance for AMI with (1) a model incorporating POA indicators of whether a secondary condition was a comorbidity or a complication of care, and (2) a simulation analysis that factored POA indicator accuracy into the hospital performance assessment. For each simulation, we changed POA indicators for six major acute risk factors of AMI mortality. The probability of POA being changed depended on patient and hospital characteristics.<br />Principal Findings: Comparing the performance rankings of 268 hospitals using the established model with that using the POA indicator, 67 hospitals' (25 percent) rank differed by ≥10 percent. POA reporting inaccuracy due to overreporting and underreporting had little additional impact; POA overreporting contributed to 4 percent of hospitals' difference in rank compared to the POA model and POA underreporting contributed to <1 percent difference.<br />Conclusion: Incorporating POA indicators into risk-adjusted models of AMI care has a substantial impact on hospital rankings of performance that is not primarily attributable to inaccuracy in POA hospital reporting.<br /> (© Health Research and Educational Trust.)
- Subjects :
- Adult
California
Comorbidity
Computer Simulation
Female
Health Status
Hospital Mortality
Humans
Length of Stay
Male
Myocardial Infarction diagnosis
Myocardial Infarction therapy
Patient Discharge
Racial Groups
Risk Adjustment
Risk Factors
Hospitals statistics & numerical data
Patient Admission standards
Patient Admission statistics & numerical data
Quality Indicators, Health Care standards
Quality Indicators, Health Care statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1475-6773
- Volume :
- 50
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Health services research
- Publication Type :
- Academic Journal
- Accession number :
- 25285372
- Full Text :
- https://doi.org/10.1111/1475-6773.12239