Staffing and Variation in Quality Ratings of Hospital-based Skilled - - PowerPoint PPT Presentation

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Staffing and Variation in Quality Ratings of Hospital-based Skilled - - PowerPoint PPT Presentation

Staffing and Variation in Quality Ratings of Hospital-based Skilled Nursing Facilities Dr. Shivani Gupta Department of Health Management & Policy Saint Louis University Dr. Robert Weech-Maldonado Department of Health Services


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Staffing and Variation in Quality Ratings of Hospital-based Skilled Nursing Facilities

  • Dr. Shivani Gupta

Department of Health Management & Policy Saint Louis University

  • Dr. Robert Weech-Maldonado

Department of Health Services Administration University of Alabama at Birmingham

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SLIDE 2

Disclosure Statement

This study was funded in part by Agency for Healthcare Research and Quality (1R01HS023345-01).

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Hospital-Based Skilled Nursing Facilities

  • Hospital-based skilled nursing facility (HBSNFs)
  • Are financially integrated with the hospital
  • File their Medicare cost reports together with the hospital
  • Reimbursed primarily by Medicare
  • HBSNFs provide care to patients who need short-term skilled

nursing or rehabilitation services on inpatient basis after a hospital stay of at least three days.

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SLIDE 4

Background

  • Post-Acute Care

– Minimal involvement of physicians and interdisciplinary input – Choice of Post-acute care sites

  • Bundled payment programs

– Hospitals need to focus on the quality of post-acute care being provided by SNFs

  • Public reporting of quality ratings on Nursing Home Compare

– Hospitals can compare the quality of care between different SNFs

  • Five-star quality ratings (2008)

– Based on three dimensions of facility performance: Health Inspections (survey); Quality Measures; Staffing

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SLIDE 5

Conceptual Framework

HBSNFs Staffing Patterns

  • Staffing Intensity
  • Staffing Mix
  • Full-time RN Staffing

Performance Five-star Quality Ratings

Resource-based View

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Resource-based View of the Firm

Resource-base View

  • Explain differences in organizational performance on the

basis of differences in resources and capabilities

  • Three categories:

Physical capital resources Human capital resources Organizational capital resources

  • Since, nurses provide most of the direct patient care, they

represent a critical human capital resource for HBSNFs.

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SLIDE 7

Hypotheses

  • Hypothesis 1: HBSNFs with higher licensed nurse staffing

intensity will have higher quality ratings.

  • Hypothesis 2: HBSNFs with higher RN staffing mix will

have higher quality ratings.

  • Hypothesis 3: HBSNFs with higher full-time RN staffing will

have higher quality ratings.

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Methods

  • Data Sources:
  • Nursing Home Compare
  • Long Term Care: Facts on Care in the US (LTCFocus) database
  • Area Health Resource File (AHRF)
  • Sample:

A national sample of all hospital-based skilled nursing facilities (n=4116)

  • Years:

2008 – 2011 (4 years)

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Variables

Analysis: Ordinary logistic regression, with state and year fixed effects; adjusting for clustering at the facility level

Dependent Variable Ratings:

High (1): 4 and 5 star ratings Low (0): 1, 2 and 3 star ratings

 Five-star Health Inspections rating  Five-star Quality measures rating The quality ratings range from one star to five-stars with more stars indicating better.

Independent Variables Staffing Intensity

  • RN hours per resident day
  • LPN hours per resident per day
  • CNA hours per resident day

Staffing Mix Ratio of RN FTEs to RN, LPN & CNA FTEs Full-time RN staffing Ratio of full-time RN FTEs to part-time RN & contract RN FTEs

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Bivariate Statistics

Variables Quality measures rating Health inspections rating High Low High Low Staffing intensity RN hours per resident day 0.85 1.67*** 1.84 1.25*** LPN hours per resident day 1.00 1.26*** 1.28 1.15*** CNA hours per resident day 2.87 3.16*** 3.34 2.93*** RN staffing mix 19.74 26.14*** 28.29 22.19*** Full-time RN staffing 71.60 74.44*** 73.99 73.66 For-profit 9.33 12.94*** 11.32 12.69 Size (total beds) 73 53*** 45 66*** Occupancy rate 84.83 77.81*** 77.69 80.59*** Case mix index 1.02 1.09*** 1.09 1.07*** Minority residents 11.81 13.58*** 12.49 13.66** Residents with Medicaid 56.48 37.12*** 32.01 48.11*** Residents with Medicare 17.02 39.68*** 44.23 27.82*** Market competition (HHI) 0.40 0.30*** 0.28 0.36*** Medicare managed care penetration 21.15 21.87 21.95 21.54 Poverty 16.11 16.33 15.82 16.60*** Urban location 84.23 90.99*** 90.70 88.89** *** p ≤ 0.01, ** p ≤ 0.05, *p ≤ 0.10

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Logistic Regression Results

Variables Quality measures ratings Health Inspection ratings Odds Ratios Marginal Effects Odds Ratios Marginal effects Staffing intensity RN hours per resident day 0.71***

  • 0.06***

1.04 0.01 LPN hours per resident day 1.25** 0.04** 1.16* 0.03* CNA hours per resident day 1.07 0.01 1.05 0.01 RN Staffing mix 1.01* 0.01* 1.02*** 0.01*** Full-time RN staffing 0.99

  • 0.01

0.99

  • 0.01

*** p ≤ 0.01, ** p ≤ 0.05, *p ≤ 0.10

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Logistic Regression Results: Control Variables

Variables Quality ratings Health Inspection ratings Odds Ratios Marginal Effects Odds Ratios Marginal effects Control Variables Market Factors Market competition (HHI) 1.08 0.01 0.63

  • 0.09

Medicare managed care penetration 0.99

  • 0.01

0.99

  • 0.01

Population 65+ years 0.98

  • 0.01

1.01 0.01 Poverty 0.99

  • 0.01

0.95***

  • 0.01***

Urban location 0.85

  • 0.02

0.84

  • 0.01

Organizational Factors For-profit 1.41 0.06 0.61**

  • 0.10**

Chain-affiliation 0.83

  • 0.03

0.89

  • 0.03

NPs/PAs 1.13 0.02 0.93

  • 0.05

Agency RN staffing 0.92

  • 0.01

0.99

  • 0.01

Size (total beds) 1.01* 0.01* 0.99***

  • 0.01***

Occupancy rate 1.01** 0.01** 1.01 0.01 Case mix index 0.08***

  • 0.43***

2.25 0.16 Minority residents 1.01 0.01 1.01 0.01 Residents with Medicaid 1.01 0.01 0.99

  • 0.01

Residents with Medicare 0.99**

  • 0.01**

1.01 0.01 *** p ≤ 0.01, ** p ≤ 0.05, *p ≤ 0.10

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Conclusions

HBSNFs with greater RN staffing mix had greater odds of having high quality ratings as well as high health inspections ratings. Higher LPN staffing intensity, in terms of more LPN hours per resident day, was associated with high quality ratings. After adjusting for RN skill mix, higher RN staffing intensity lowered the odds of HBSNFs having a high quality rating,

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Implications

 Hospital and HBSNF administrators can assess the potential impact of staffing patterns on publically reported star ratings.  Inform HBNSFs managers on the formulation of staffing-related strategies to improve the quality of post-acute care.  Increase policymakers’ understanding of the role of staffing patterns in creating performance differentials as indicated by quality ratings of PAC sites such as HBSNFs.  Assist policymakers in crafting policies incentivizing staffing-related initiatives to minimize disparities in the quality of post-acute care, specifically among HBSNFs with low five-star quality ratings.

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Limitations and Future Results

Limitations:

  • Secondary data limited the scope of the study
  • Dichotomous variable indicating the quality rating of the hospital-based skilled

nursing facilities (HBSNFs)

  • Quality star-rating included both short-stay and long-stay measures of quality.

Future Research:

  • Evaluate the association of staffing patterns with the effectiveness of care

processes within HBSNFs and other PAC settings.

  • Evaluate the care processes, specifically those related to the patients’ transition

from acute to various PAC settings and their association with quality of care and patient experience.

  • Analysis of the effect of star-rating and public reporting on HBSNFs quality of care

using detailed data on the short-stay measures included in the current quality ratings and additional measures specifically associated with PAC.

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Five-star Rating of HBSNFs for Health Inspections

Health Inspections Points assigned to according to number, scope & severity of deficiencies Additional points assigned for substandard quality of care Repeat Revisits Points assigned only for the second, third, and fourth revisits. proportional to health inspection scores (up to 85 percent of the health inspection score for the fourth revisit) G-level scores (20 points) assigned for “past non- compliance” status & severity is “immediate jeopardy” Five Star Quality Rating Based on relative performance of facilities within a State Top 10 percent in each State receive five-star rating. Middle 70 percent of facilities receive two, three, or four stars, with an equal number in each rating category. Bottom 20 percent receive a one-star.

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Quality Measures included in Five-star Quality Rating

  • Long-Stay Residents:
  • Percent of residents whose need for help with activities of daily living has increased
  • Percent of high risk residents with pressure sores
  • Percent of residents who have/had a catheter inserted and left in their bladder
  • Percent of residents who were physically restrained
  • Percent of residents with a urinary tract infection
  • Percent of residents who self-report moderate to severe pain
  • Percent of residents experiencing one or more falls with major injury
  • Short-stay residents:
  • Percent of residents with pressure ulcers (sores) that are new or worsened
  • Percent of residents who self-report moderate to severe pain