Literature DB >> 17766669

Comparing staffing levels in the Online Survey Certification and Reporting (OSCAR) system with the Medicaid Cost Report data: are differences systematic?

Bita A Kash1, Catherine Hawes, Charles D Phillips.   

Abstract

PURPOSE: This study had two goals: (a) to assess the validity of the Online Survey Certification and Reporting (OSCAR) staffing data by comparing them to staffing measures from audited Medicaid Cost Reports and (b) to identify systematic differences between facilities that over-report or underreport staffing in the OSCAR. DESIGN AND METHODS: We merged the 2002 Texas Nursing Facility Cost Report, the OSCAR for Texas facilities surveyed in 2002, and the 2003 Area Resource File. We eliminated outliers in the OSCAR using three decision rules, resulting in a final sample size of 941 of the total of 1,017 non-hospital-based facilities. We compared OSCAR and Medicaid Cost Report staffing measures for three staff types. We examined differences between facilities that over-reported or underreported staffing levels in the OSCAR by using logistic regression.
RESULTS: Average staffing levels were higher in the OSCAR than in the Medicaid Cost Report data. The two sets of measures exhibited correlations ranging between 0.5 and 0.6. For-profit and larger facilities consistently over-reported registered nurse staffing levels. Factors associated with increased odds of over-reporting licensed vocational nursing or certified nursing assistant staffing were lower Medicare or Medicaid censuses and less market competition. Facility characteristics associated with over-reporting were consistent across different levels of over-reporting. Underreporting was much less prevalent. IMPLICATIONS: Certain types of facilities consistently over-report staffing levels. These reporting errors will affect the validity of consumer information systems, regulatory activities, and health services research results, particularly research using OSCAR data to examine the relationship between staffing and quality. Results call for a more accurate reporting system.

Mesh:

Year:  2007        PMID: 17766669     DOI: 10.1093/geront/47.4.480

Source DB:  PubMed          Journal:  Gerontologist        ISSN: 0016-9013


  20 in total

1.  Nurse staffing and deficiencies in the largest for-profit nursing home chains and chains owned by private equity companies.

Authors:  Charlene Harrington; Brian Olney; Helen Carrillo; Taewoon Kang
Journal:  Health Serv Res       Date:  2011-08-30       Impact factor: 3.402

2.  A panel data analysis of the relationships of nursing home staffing levels and standards to regulatory deficiencies.

Authors:  Hongsoo Kim; Christine Kovner; Charlene Harrington; William Greene; Mathy Mezey
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2009-01-29       Impact factor: 4.077

3.  Effect of Bisphosphonates on Fracture Outcomes Among Frail Older Adults.

Authors:  Andrew R Zullo; Tingting Zhang; Yoojin Lee; Kevin W McConeghy; Lori A Daiello; Douglas P Kiel; Vincent Mor; Sarah D Berry
Journal:  J Am Geriatr Soc       Date:  2018-12-21       Impact factor: 5.562

4.  Restructuring in response to case mix reimbursement in nursing homes: a contingency approach.

Authors:  Jacqueline Zinn; Zhanlian Feng; Vincent Mor; Orna Intrator; David Grabowski
Journal:  Health Care Manage Rev       Date:  2008 Apr-Jun

5.  National Trends in Treatment Initiation for Nursing Home Residents With Diabetes Mellitus, 2008 to 2010.

Authors:  Andrew R Zullo; David D Dore; Lori Daiello; Rosa R Baier; Roee Gutman; David R Gifford; Robert J Smith
Journal:  J Am Med Dir Assoc       Date:  2016-03-24       Impact factor: 4.669

6.  Nursing practice environment and registered nurses' job satisfaction in nursing homes.

Authors:  JiSun Choi; Linda Flynn; Linda H Aiken
Journal:  Gerontologist       Date:  2011-09-09

7.  The influence of nurse staffing levels on quality of care in nursing homes.

Authors:  Kathryn Hyer; Kali S Thomas; Laurence G Branch; Jeffrey S Harman; Christopher E Johnson; Robert Weech-Maldonado
Journal:  Gerontologist       Date:  2011-05-20

8.  Outcomes of "diabetes-friendly" vs "diabetes-unfriendly" β-blockers in older nursing home residents with diabetes after acute myocardial infarction.

Authors:  Andrew R Zullo; Michelle Hersey; Yoojin Lee; Sadia Sharmin; Elliott Bosco; Lori A Daiello; Nishant R Shah; Vincent Mor; W John Boscardin; Christine M Berard-Collins; David D Dore; Michael A Steinman
Journal:  Diabetes Obes Metab       Date:  2018-07-22       Impact factor: 6.577

9.  Nursing home deficiency citations for safety.

Authors:  Nicholas G Castle; Laura M Wagner; Jamie C Ferguson; Steven M Handler
Journal:  J Aging Soc Policy       Date:  2011-01

10.  Does mandating nursing home participation in quality reporting make a difference? Evidence from Massachusetts.

Authors:  Dana B Mukamel; Zhiqiu Ye; Laurent G Glance; Yue Li
Journal:  Med Care       Date:  2015-08       Impact factor: 2.983

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