Table
1. Active RNs in the U.S. by Gender
and Age Group, 2004
Table
2. Distribution of Type of Facility
by Nursing Recruitment Difficulty Indicator
Table
3. Distribution of Nursing Recruitment
Difficulty Indicator by Number
of Bad Consequences
Table
4. Average Values of Selected Indicators
for Three Groups of Hospitals in NC
Table
5. Coefficients for Full OLS Regression
Model to Predict Number of Adverse
Effects of Nursing Shortages in Hospitals
in North Carolina
Table
6. Coefficients for Abbreviated OLS
Regression Model to Predict Number
of Adverse Effects of Nursing Shortages
in Hospitals in North Carolina
Table
7. Means and Standard Deviations of
Selected Independent Variables
Related to Nursing Shortages in North
Carolina Nursing Homes
Table
8. Coefficients for OLS Regression Model
to Predict Number of Adverse Effects
of Nursing Shortages in Nursing Homes
in North Carolina
Table
9. Coefficients for Alternate OLS Regression
Model to Predict RN Vacancy Rates
in Nursing Homes in North Carolina
Table
10. Means and Standard Deviations of
Selected Independent Variables
Related to Nursing Shortages in North
Carolina Home Health Agencies
Table
11. Coefficients for OLS Regression
Model to Predict Number of Adverse
Effects of Nursing Shortages in Home
Health Agencies in NC
Table
12. Means and Standard Deviations of
Selected Independent Variables
Related to Nursing Shortages in North
Carolina Public Health Agencies
Table
13. Coefficients for Full OLS Regression
Model to Predict Number of Adverse
Effects of Nursing Shortages in Public
Health Agencies in NC
Table
14. Coefficients for Reduced OLS Regression
Model to Predict Number of Adverse
Effects of Nursing Shortages in Public
Health Agencies in NC
Table
15. Variables, Source of Data, and Year
of Independent Variables in Ordered
Probit Model for North Carolina for
2004
Table
16. Coefficient Estimates of the Ordered
Probit Nursing Shortage Model Based
on All Facilities in North Carolina
Table
17. Cross Tabulation of Actual Nursing
Recruitment Difficulty Indicator by
Predicted Nursing Recruitment Difficulty
Indicator
Table
18. Descriptive Statistics of For Predicted
Nursing Recruitment Difficulty Score
Based on Ordered Probit Model Using
North Carolina Data for 2004
Table
19. Coefficient Estimates of the Nursing
Recruitment Difficulty Model Based on
Ordered Probit Analysis of North Carolina
Hospital Data, 2004
Table
20. Coefficient Estimates of the Nursing
Recruitment Difficulty Model Based on
Ordered Probit Analysis of North Carolina
Home Health Agency Data, 2004
Table
21. Coefficient Estimates of the Nursing
Recruitment Difficulty Model Based on
Ordered Probit Analysis of North Carolina
Long-Term Care Facility Data, 2004
Table
22. Coefficient Estimates of the Nursing
Recruitment Difficulty Model Based on
Ordered Probit Analysis of North Carolina
Public Health Agency Data, 2004
Table
23. Means of Community Variables for
NC and ND
Table
24. Means of Facility Variables for
NC and ND
Table
25. OLS Coefficient Estimates for Hospital
Setting for Combined NC & ND Model
(Dependent variable is RN Vacancy Rate)
Table
26. Coefficient Estimates for Home Health
Setting for Combined NC & ND Model
(Dependent variable is RN Vacancy Rate)
Table
27. Coefficient Estimates for Long-Term
Care Setting for Combined NC & ND
Model (Dependent variable is RN Vacancy
Rate)
Table
28. Coefficient Estimates for Public
Health Setting for Combined NC &
ND Model (Dependent variable is RN Vacancy
Rate)
Table
29. National Estimates of RNs per Unit
of Service
Table
30. Final Population Weights by Age
Group
Table
31. Inpatient and Outpatient Health
Care Utilization by Age and Gender,
2003-04
Table
32. Weights for Age-Gender Adjusted
Population
Table
33. Estimates of Impact of Selected
Factors on RNs per Age-Gender Adjusted
Population
Table
34. Estimate of Impact of Selected Factors
on RNs per MD
Table
35. Percentages of Counties in the U.S.
with Negative Residuals
Table
36. Standardized Scoring Coefficients
Table
37. Distribution of Counties by Categories
for each Census Division
Table
38. Distribution of Counties by Categories
for each Rural/Urban Code
Table
39. Distribution of Counties by Categories
for each HPSA Code (Primary Care)
Table
40. Illustrative Application of Age-
and Gender-Adjusted Utilization
Rates Are Applied for a County
Table
41. RNs per Unit of Care in Fourteen
Health Care Settings in Selected Years
Table
42. Estimated Percentage Shortages of
RNs in the U.S.
Table
43. Estimated RN Utilization Adjustment
for ICU and Surgeries for Non-Psychiatric
Hospitals
Table
44. Ordinary Least Squares Regression
Coefficients Predicting RN Incommuting,
By Type of County
Table
45. Differences Between Selected Commuting
Estimates and Actual Commuting
Patterns, All County Categories Combined
Table
46. Differences Between Selected Commuting
Estimates and Actual Commuting
Patterns, Metropolitan Counties
Table
47. Differences Between Selected Commuting
Estimates and Actual Commuting
Patterns, Counties Adjacent to Metropolitan
Areas
Table
48. Differences Between Selected Commuting
Estimates and Actual Commuting
Patterns, Counties Not Adjacent to Metropolitan
Areas
Table
49. Absolute Differences Between Selected
Commuting Estimates and Actual
Commuting Patterns, All County Categories
Combined
Table
50. Absolute Differences Between Selected
Commuting Estimates and Actual
Commuting Patterns, Metropolitan Counties
Table
51. Absolute Differences Between Selected
Commuting Estimates and Actual
Commuting Patterns, Counties Adjacent
to Metropolitan Counties
Table
52. Absolute Differences Between Selected
Commuting Estimates and Actual
Commuting Patterns, Counties Not Adjacent
to Metropolitan Counties
Table
53. Percentage of Observations in Which
Each Estimate is Closer Than Others
to the Actual Value
Table
54. Percentage of Cases in Which Estimated
Commuting Differed From Actual
by More Than 10%
Table
55. Average Commuting Adjustment for
RN Supply Across All County Categories
(N = 812)
Table
56. Average Absolute Commuting Adjustment
for RN Supply Across All County
Categories (N = 812)
Table
57. Differences Between Actual RN Supply
and Predicted RN Supply Based
on Various RN Commuting Estimates, by
Metropolitan Status of County
Table
58. Absolute Differences Between Actual
RN Supply and Predicted RN Supply Based
on Various RN Commuting Estimates, by
Metropolitan Status of County
Table
59. Percentage of Observations in Which
Each Supply Estimate was Closer Than
Others to the Actual Supply Value, All
Metropolitan Groups Combined
Table
60. Percentage of Observations in Which
Each Supply Estimate was Closer Than
Others to the Actual Supply Value, by
Metropolitan Groups
Table
61. Percentage of Cases in Which Supply
Estimate Differed From Actual
Supply by More Than 10% (N = 812)
Table
62. Percentage of Cases in Which Estimated
Commuting Differed From Actual
by More Than 10%
Table
63. Population and RNs in Selected Classes
of Counties in the U.S.
Table
64. Measures of RN Supply for Selected
Classes of Counties in the U.S.
Table
65. Health Care Utilization Rates per
10,000 Population
