Health care provider evaluation of a substitutive model of hospital at home

Med Care. 2009 Sep;47(9):979-85. doi: 10.1097/MLR.0b013e31819c93fc.

Abstract

Objective: To evaluate Hospital at Home (HaH), a substitute for inpatient care, from the perspectives of participating providers.

Research design: Multivariate general estimating equations regression analyses of a patient-specific survey of providers delivering HaH care in a prospective, nonrandomized clinical trial.

Subjects: Eleven physicians and 26 nurses employed in 3 Medicare-Advantage plans and 1 Veterans Administration medical center.

Measures: Problems with care; benefits; problem-free index.

Results: Case response rates were 95% and 82% for physicians and nurses, respectively. The overall problem-free index was high (mean 4.4, median 5, scale 1-5). "Major" problems were cited for 14 of 84 patients (17%), most relating to logistic issues without adverse patient outcomes. Positive effects included quicker patient functional recovery, greater opportunities for patient teaching, and increased communication with family caregivers. In multivariate analysis, the problem-free index was lower for nurses compared with physicians in one site; for patients with cellulitis; and for patients with a higher acuity (APACHE II) score. HaH physicians and nurses differed in their judgments of hours of continuous nursing required by patients.

Conclusions: The health care provider evaluation of substitutive HaH care was positive, providing support for the viability of this innovative model of care. Without provider support, no new model of care will survive. These findings also provide insight into areas to attend to in implementation. Organizations considering adoption of the HaH should monitor provider views to promote quality improvement in HaH.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Attitude of Health Personnel
  • Health Care Surveys
  • Health Personnel / psychology*
  • Home Care Services / organization & administration*
  • Humans
  • Medicare Part C
  • Models, Organizational*
  • Prospective Studies
  • Regression Analysis
  • United States