This study determined factors associated with an increased risk of ending Medicare home health care because of hospitalization and examined specific types of and reasons for hospitalization. Sample members (N = 922) were followed from admission to discharge as they received home care from Ohio Medicare-certified home care agencies between December 1999 and March 2002. Potential patient-level risk factors were predisposing, enabling, or need variables, and an agency-level variable denoting hospital affiliation or free-standing status was examined as a second-level risk factor. Among those hospitalized (18.3%), more than 80.0% experienced emergency hospitalizations, mostly for acute exacerbations of chronic diseases. Statistically significant risk factors for hospitalization included dyspnea severity, functional disability level, skin or wound problems, diabetes, case mix score, and guarded rehabilitation prognosis. Home care agencies might reduce hospitalizations by using clinical prognosis as a key resource for team communication and by helping patients and families anticipate potential acute exacerbations of chronic diseases and manage these events at home.

Acute care hospitalization during or immediately following a Medicare home health care (HHC) episode is a major adverse outcome, but little has been published about HHC patient-level risk factors for hospitalization. We determined risk factors at HHC admission associated with subsequent acute care hospitalization in a nationally representative Medicare patient sample (n=374,123). Hospitalization was measured using Medicare claims data; risk factors were measured using Outcome Assessment and Information Set data. Seventeen percent of sample members were hospitalized. Multivariate logistic regression analysis found that the most influential risk factors (all p<.001) were: skin wound as primary HHC diagnosis; clinician-judged guarded rehabilitation prognosis; congestive heart failure as primary HHC diagnosis; presence of depressive symptoms; dyspnea severity; and Black, compared to White. HHC initiatives that minimize chronic condition exacerbations, and that actively treat depressive symptoms, might help reduce Medicare patient hospitalizations. Unmeasured reasons for higher hospitalization rates among Black HHC patients deserve further investigation.

This study evaluated the criterion validity of the Outcome and Assessment Instrument Set (OASIS) items that measure activities of daily living (ADLs), instrumental activities of daily living (IADLs), cognitive functioning, and depression. A convenience sample of patients (n = 203) from five home care agencies participated in the study. Patient OASIS items were compared to data collected using gold standard instruments. Correlations range from .44 to .69 for ADLs and .20 to .68 for IADLs. A correlation of .62 was found for cognitive functioning while correlations for depressive symptoms are .36 and .26. OASIS ADLs and cognitive status items are sufficiently valid, but the OASIS depression item is not sufficiently sensitive to the prevalence of these conditions.

There is little information regarding the accuracy of the Outcomes and Assessment Information Set (OASIS), the patient assessment tool mandated for use in Medicare-funded home health care. The purposes of this study were to evaluate the accuracy of OASIS completion by home health nurses and rehabilitation therapists, to compare responses of nurses and therapists, and to determine whether dispersion of answers would affect the home health resource group (HHRG) to which patients were assigned for Medicare home health care payments to agencies. Using a video simulation of admission and discharge visits, 436 clinicians from 29 Ohio home health care agencies scored selected OASIS items. Although the majority of the items were rated accurately, discrepancies were found between clinician responses and the "correct" answer on several items. Nurses and therapists provided similar ratings on most items studied, but for most cases in which discrepancies were found, nurses were more likely to agree with the "correct" answer. Discrepancies most often led to patients being assigned to lower-payment HHRGs. Continued monitoring of OASIS data collection accuracy is recommended to maximize the value of the OASIS instrument in home health care research, practice, and policy.