title: Surveying multiple health professional team members within institutional settings: an example from the nursing home industry.
abstract: Quality improvement and cost containment initiatives in health care increasingly involve interdisciplinary teams of providers. To understand organizational functioning, information is often needed from multiple members of a leadership team since no one person may have sufficient knowledge of all aspects of the organization. To minimize survey burden, it is ideal to ask unique questions of each member of the leadership team in areas of their expertise. However, this risks substantial missing data if all eligible members of the organization do not respond to the survey. Nursing home administrators (NHA) and directors of nursing (DoN) play important roles in the leadership of long-term care facilities. Surveys were administered to NHAs and DoNs from a random, nationally representative sample of U.S. nursing homes about the impact of state policies, market forces, and organizational factors that impact provider performance and residents' outcomes. Responses were obtained from a total of 2,686 facilities (response rate [RR] = 66.6%) in which at least one individual completed the questionnaire and 1,693 facilities (RR = 42.0%) in which both providers participated. No evidence of nonresponse bias was detected. A high-quality representative sample of two providers in a long-term care facility can be obtained. It is possible to optimize data collection by obtaining unique information about the organization from each provider while minimizing the number of items asked of each individual. However, sufficient resources must be available for follow-up to nonresponders with particular attention paid to lower resourced, lower quality facilities caring for higher acuity residents in highly competitive nursing home markets.
authors: School of Public Health, Brown University, Providence, RI, USA melissa_clark@brown.edu.
authors: Melissa A
authors: MA
authors: Clark
authors: Center for Survey Research, University of Massachusetts-Boston, Boston, MA, USA.
authors: Anthony
authors: A
authors: Roman
authors: School of Public Health, Brown University, Providence, RI, USA.
authors: Michelle L
authors: ML
authors: Rogers
authors: School of Public Health, Brown University, Providence, RI, USA.
authors: Denise A
authors: DA
authors: Tyler
authors: School of Public Health, Brown University, Providence, RI, USA.
authors: Vincent
authors: V
authors: Mor
mesh_terms: D003363:Cost Control; D006270:Health Facility Administrators; D006801:Humans; D009735:Nursing Homes / Q000458:organization & administration*; D009745:Nursing, Supervisory; D010348:Patient Care Team / Q000458:organization & administration*; D058996:Quality Improvement; D011795:Surveys and Questionnaires; D014481:United States; D000078329:Workforce
keywords: health care providers; nonresponse bias; nursing home; response rate; surveys