Kate L Lapane1, Carmel M Hughes. 1. Center For Gerontology and Health Care Research, Department of Community Health, Brown University, Providence, Rhode Island 02912, USA. Kate_Lapane@Brown.edu
Abstract
BACKGROUND: There is universal agreement that organizational characteristics of nursing facilities can and do influence the quality of care and resident outcomes. OBJECTIVE: This study evaluated the relation between organizational characteristics and management of depression using antidepressants. RESEARCH DESIGN: This was a cross-sectional study of Medicare/Medicaid certified nursing homes in 6 states in 2000. SUBJECTS: We studied 87,907 residents with depression in 2,128 facilities. MEASURES: Minimum Data Set (MDS) provided information regarding use of antidepressants and resident factors. On-line Survey and Certification of Automated Records (OSCAR) provided facility characteristics information including structural, resource, and staffing levels. Adjusted estimates of organizational effects on antidepressant drug use were derived from generalized estimating equations. RESULTS: Increased treatment of depression with antidepressants was associated with facilities with a higher percentage of residents from payer sources other than Medicare/Medicaid (odds ratio [OR], 1.04; 95% confidence interval [CI], 1.02-1.06) and more professional nursing staff (OR, 1.15; 95% CI, 1.05-1.26). Decreased treatment tended to be related to larger homes (OR, 0.76; 95% CI, 0.68-0.84) or if the home employed full-time physicians (OR, 0.87; 95% CI, 0.78-0.96). Once the decision to treat was made, treatment with tricyclics tended to be inversely related to larger homes, for-profit facilities, and homes with more Medicare residents. CONCLUSIONS: Facilities that are required to be more fiscally conservative, be it larger facilities with fewer private pay patients or for profit facilities, have lower rates of pharmacologic treatment. Resource and structural characteristics influence the type of antidepressant being prescribed; resident characteristics may not be the over-riding factor in prescribing.
BACKGROUND: There is universal agreement that organizational characteristics of nursing facilities can and do influence the quality of care and resident outcomes. OBJECTIVE: This study evaluated the relation between organizational characteristics and management of depression using antidepressants. RESEARCH DESIGN: This was a cross-sectional study of Medicare/Medicaid certified nursing homes in 6 states in 2000. SUBJECTS: We studied 87,907 residents with depression in 2,128 facilities. MEASURES: Minimum Data Set (MDS) provided information regarding use of antidepressants and resident factors. On-line Survey and Certification of Automated Records (OSCAR) provided facility characteristics information including structural, resource, and staffing levels. Adjusted estimates of organizational effects on antidepressant drug use were derived from generalized estimating equations. RESULTS: Increased treatment of depression with antidepressants was associated with facilities with a higher percentage of residents from payer sources other than Medicare/Medicaid (odds ratio [OR], 1.04; 95% confidence interval [CI], 1.02-1.06) and more professional nursing staff (OR, 1.15; 95% CI, 1.05-1.26). Decreased treatment tended to be related to larger homes (OR, 0.76; 95% CI, 0.68-0.84) or if the home employed full-time physicians (OR, 0.87; 95% CI, 0.78-0.96). Once the decision to treat was made, treatment with tricyclics tended to be inversely related to larger homes, for-profit facilities, and homes with more Medicare residents. CONCLUSIONS: Facilities that are required to be more fiscally conservative, be it larger facilities with fewer private pay patients or for profit facilities, have lower rates of pharmacologic treatment. Resource and structural characteristics influence the type of antidepressant being prescribed; resident characteristics may not be the over-riding factor in prescribing.
Authors: Seema Parikh; M Alan Brookhart; Margaret Stedman; Jerry Avorn; Helen Mogun; Daniel H Solomon Journal: Bone Date: 2011-02-21 Impact factor: 4.398
Authors: Sherrie L Aspinall; Xinhua Zhao; Steven M Handler; Roslyn A Stone; Janine C Kosmoski; Elizabeth A Libby; Susan Dove Francis; David A Goodman; Rebecca D Roman; Heather L Bieber; Jennifer M Voisine; Sean M Jeffery; Charley A Hepfinger; Diane G Hagen; Micki M Martin; Joseph T Hanlon Journal: J Am Geriatr Soc Date: 2010-07-19 Impact factor: 5.562