Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model

Objective: Hospital-acquired pressure ulcers (HAPUs) have a mortality rate of 11.6%, are costly to treat, and result in Medicare reimbursement penalties. Medicare codes HAPUs according to Agency for Healthcare Research and Quality Patient-Safety Indicator 3 (PSI-03), but they are sometimes inappropr...

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Bibliographic Details
Published in:Journal of the American Medical Informatics Association : JAMIA 2017-04, Vol.24 (e1), p.e95-e102
Main Authors: Padula, William V, Gibbons, Robert D, Pronovost, Peter J, Hedeker, Donald, Mishra, Manish K, Makic, Mary Beth F, Bridges, John FP, Wald, Heidi L, Valuck, Robert J, Ginensky, Adam J, Ursitti, Anthony, Venable, Laura Ruth, Epstein, Ziv, Meltzer, David O
Format: Article
Language:English
Subjects:
Academic Medical Centers
Adolescent
Adult
Aged
Aged, 80 and over
Clinical Coding
Cohort Studies
Electronic Health Records
Hospitalization
Humans
Iatrogenic Disease - epidemiology
Incidence
International Classification of Diseases
Logistic Models
Medicare
Middle Aged
Outcome and Process Assessment, Health Care
Pressure Ulcer - classification
Pressure Ulcer - epidemiology
Pressure Ulcer - etiology
Research and Applications
Risk Assessment - methods
Risk Factors
Spinal Cord Injuries - classification
Spinal Cord Injuries - complications
United States
Young Adult
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Summary:Objective: Hospital-acquired pressure ulcers (HAPUs) have a mortality rate of 11.6%, are costly to treat, and result in Medicare reimbursement penalties. Medicare codes HAPUs according to Agency for Healthcare Research and Quality Patient-Safety Indicator 3 (PSI-03), but they are sometimes inappropriately coded. The objective is to use electronic health records to predict pressure ulcers and to identify coding issues leading to penalties. Materials and Methods: We evaluated all hospitalized patient electronic medical records at an academic medical center data repository between 2011 and 2014. These data contained patient encounter level demographic variables, diagnoses, prescription drugs, and provider orders. HAPUs were defined by PSI-03: stages III, IV, or unstageable pressure ulcers not present on admission as a secondary diagnosis, excluding cases of paralysis. Random forests reduced data dimensionality. Multilevel logistic regression of patient encounters evaluated associations between covariates and HAPU incidence. Results: The approach produced a sample population of 21 153 patients with 1549 PSI-03 cases. The greatest odds ratio (OR) of HAPU incidence was among patients diagnosed with spinal cord injury (ICD-9 907.2: OR = 14.3; P 
ISSN:1067-5027
1527-974X
DOI:10.1093/jamia/ocw118