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Sue Schuler, Past President, Wisconsin Center for Nursing
 Victoria Udalova, Economist, Dept. of Workforce Development
Judy Warmuth, V.P. Workforce, Wisconsin Hospital Association
Institute of Medicine

 The Future of Nursing
    Key Message

Effective workforce planning and
policy making require better data
collection and improved information
infrastructure.
Wisconsin Statutory Language
• Requires nurses renewing their license to
  complete a survey on potential nursing
  shortages.

• $4.00 renewal fee.

• Statewide nursing center to collaborate with
  nursing constituents develop strategies to
  ensure there is an adequate nursing
  workforce.
Healthiest Wisconsin Partnership Grant
               (HWPP)
Funded DWD and the Wisconsin Center for Nursing to:

• Review nursing workforce supply questions and
  methodologies from other states. This included
  participation in the review and input into the national
  minimum nursing supply data set .
• Determine methodology for collecting nurse data.
• Analyze and distribute nursing workforce data.
• Survey educational programs that prepare RN’s for
  capacity data and share results.
   Size of the current workforce; how many
    nurses of each type working how many
    hours?

   Wisconsin’s future nursing demand.

   Does the current educational system provide
    for that need?
18


 16


 14


 12


 10


  8                                                                                            Percent of total


  6


  4


  2


  0
      20-24   25-29   30-34   35-39   40-44   45-49   50-54   55-59   60-64   65-69   70 and
                                                                                      above




From 2010 RN Survey
Registered Nurses           Wisconsin Residents

   White           94.7%      White           89.4%

   Black/African              Black/African
    American        2.1%        American         6.2%

                               Hispanic         5.9%
   Hispanic        1.2%
Advance Practice Nurses
Nurses in Wisconsin with a Master’s degree
 that prepares them to be an advanced
 practice nurse
                               5,110

Nurses in Wisconsin with a Master’s degree
 practicing as an Advanced Practice Nurse
                               3,802
Education

           Highest Level of Education

          Diploma                       10.4%

          Associate Degree              32.2%

          Baccalaureate Degree          44.4%

          Master’s Degree               12.0%

          Doctorate                       .9%


All nurses. N = 77,385
Nursing Education

           Highest Level of Nursing Education

          Diploma                        12.0%

          Associate Degree               36.2%

          Baccalaureate Degree           42.9%

          Master’s Degree                 8.6%

          Doctorate                        .4%


All nurses. N = 77,385
   All RNs                       77,553

   RNs working in health care    68,497

   RNs working in health care in Wisconsin
                                  61,094
   Academic education            2.3%
   Ambulatory Care              14.6%
   Home Health                   4.2%
   Hospital                     49.9%
   Nursing Home/Extended Care   11.3%
   Public Health                 4.7%
   Other                        13.0%
Primary Place of   Wisconsin           Primary Place of   Wisconsin
      Work          Nurses                   Work          Nurses
      2010                                   2001

                    Number Percent                         Number Percent
Hospital            30731       49.9   Hospital            30,675      54
Ambulatory Care      8977       14.6   Outpatient Clinic   8,548       15
Public/Community     2986       4.7    Public/Community    5,986       11
Health                                 Health
Home Health          2588       4.2
Nursing/Extended     6927       11.3   Nursing Home        6,074       11
care
Academic             1406       2.3    Nursing Education   1,129       2
Education
Other                8017       13.0
Hours worked per    Respondents   Percent
week


Less than 20             3,289              7.5

20-35                    17,128             39.1

36-40                    17,017             38.9

41-48                    3,064              7.0

49 and more hours        3,293              7.5
Ambulatory Care                789
Home Health                    400
Hospital                     3,766
Nursing Home/Extended Care     740
Public/Community Health        182
Other                          470
   In less than 2 years   2,377

   In 2 to 4 years        6,658

   In 5 to 9 years        9,484

   In 10 or more years    32,049
   What will future demand be?

   How many hours will future nurses work?

   How acutely ill will future patients be?

   Where will patients receive healthcare (where
    will nurses work?)
   How many new RNs do we need and where
    are they needed?
   When?
   How many new Master’s prepared nurses do
    we need? (Oh and what type of Master’s?)
   When?
   How many new Doctorally prepared nurses do
    we need?
   When?
Forecasting Nursing Workforce


                     Victoria Udalova, Economist

Office of Economic Advisors, Wisconsin Department of Workforce Development

                             October 8, 2010




            Victoria Udalova, Economist Forecasting Nursing Workforce
Affordable, high quality health care requires a
competent, diverse, and sufficient supply of nurses,
and a shortage of nurses currently exists nationally.


                                             HRSA, 2004




     Victoria Udalova, Economist Forecasting Nursing Workforce
National Nursing Forecast


     • 2004 Health Resources and Services
       Administration (HRSA) study projected that
       there will be a shortage of over 10,000 FTE
       nurses in Wisconsin by 2020

     • The study is nationally focused and relies on
       a relatively small sample size

     • Reports and analysis previously generated by
       the HRSA have not been updated because of
       federal funding cuts


        Victoria Udalova, Economist Forecasting Nursing Workforce
History of Data Collection Success

     •   In 2007, DWD developed a comparable model
         to the HRSA version

     • Inability to populate the model with robust data
       served as a catalyst for moving the data effort
       forward

     • A workgroup of the health care sector sub-
       committee of the Council on Workforce
       Investment (CWI), Wisconsin Health Workforce
       Data Collaborative, received Medical College of
       Wisconsin (MCW) grant

         Victoria Udalova, Economist Forecasting Nursing Workforce
History of Data Collection Success

     •   Senator Robson language was signed into law
         in 2009 Wisconsin Act 28 (2009-11 Budget Bill)
         on June 29, 2009 mandating the completion of
         a workforce survey

     •   The survey incorporated the National Minimum
         Nurse Supply Data Set, developed by the
         Forum of State Nursing Workforce Centers and
         funded by the Robert Wood Johnson
         Foundation and AARP




         Victoria Udalova, Economist Forecasting Nursing Workforce
Current Work on Forecasting Model

     • Over 77,000 nurse responses are being
       analyzed and aggregated
     • At this time, our focus is on the basic statewide
       nursing supply model
     • The model is divided by:
          -   13 age groups
          -   gender
          -   number (head count) of RNs and FTE RNs
          -   direct patient care practitioners and the broad
              nursing workforce
     •   Guiding force for the base supply projections
         are changing demographics, and the overall
         population growth
         Victoria Udalova, Economist Forecasting Nursing Workforce
Upcoming Work and Forecasting Results


     •   Supply model has the potential for scenario
         analyses such as incorporating inflow/outflow
         changes
     •   Statewide demand for nursing will be generated
         after the nursing supply projections are
         completed
     •   Alternative forecasting demand models are
         being reviewed now
     •   Supply/Demand relationship will be analyzed to
         estimate the gap
     •   Results will serve as a guide for policymakers


         Victoria Udalova, Economist Forecasting Nursing Workforce
• Develop and distribute a comprehensive report of
  the RN survey.
• Convene nurse researchers to do an in-depth
  review of the survey data.
• Initiate regional forums to review the data and
  develop recommendations for nursing education
  and practice.
• Work with the Nursing Coalition to determine
  needs based on trends in nursing specialties.
• Collect the national nursing education minimum
  data set from all nursing programs in WI.
• Review national recommendations on “best
  practices”.
• Analysis the data collected and develop
  recommendations based on identified needs in WI.
  and best practices.
• Convene a “Best practice Retreat” to plan for
  education capacity, access and diversity.

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2010 rn surveypresentationatwnaoct2010

  • 1. Sue Schuler, Past President, Wisconsin Center for Nursing Victoria Udalova, Economist, Dept. of Workforce Development Judy Warmuth, V.P. Workforce, Wisconsin Hospital Association
  • 2. Institute of Medicine The Future of Nursing Key Message Effective workforce planning and policy making require better data collection and improved information infrastructure.
  • 3. Wisconsin Statutory Language • Requires nurses renewing their license to complete a survey on potential nursing shortages. • $4.00 renewal fee. • Statewide nursing center to collaborate with nursing constituents develop strategies to ensure there is an adequate nursing workforce.
  • 4. Healthiest Wisconsin Partnership Grant (HWPP) Funded DWD and the Wisconsin Center for Nursing to: • Review nursing workforce supply questions and methodologies from other states. This included participation in the review and input into the national minimum nursing supply data set . • Determine methodology for collecting nurse data. • Analyze and distribute nursing workforce data. • Survey educational programs that prepare RN’s for capacity data and share results.
  • 5. Size of the current workforce; how many nurses of each type working how many hours?  Wisconsin’s future nursing demand.  Does the current educational system provide for that need?
  • 6. 18 16 14 12 10 8 Percent of total 6 4 2 0 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70 and above From 2010 RN Survey
  • 7. Registered Nurses Wisconsin Residents  White 94.7%  White 89.4%  Black/African  Black/African American 2.1% American 6.2%  Hispanic 5.9%  Hispanic 1.2%
  • 8. Advance Practice Nurses Nurses in Wisconsin with a Master’s degree that prepares them to be an advanced practice nurse 5,110 Nurses in Wisconsin with a Master’s degree practicing as an Advanced Practice Nurse 3,802
  • 9. Education Highest Level of Education Diploma 10.4% Associate Degree 32.2% Baccalaureate Degree 44.4% Master’s Degree 12.0% Doctorate .9% All nurses. N = 77,385
  • 10. Nursing Education Highest Level of Nursing Education Diploma 12.0% Associate Degree 36.2% Baccalaureate Degree 42.9% Master’s Degree 8.6% Doctorate .4% All nurses. N = 77,385
  • 11. All RNs 77,553  RNs working in health care 68,497  RNs working in health care in Wisconsin 61,094
  • 12. Academic education 2.3%  Ambulatory Care 14.6%  Home Health 4.2%  Hospital 49.9%  Nursing Home/Extended Care 11.3%  Public Health 4.7%  Other 13.0%
  • 13. Primary Place of Wisconsin Primary Place of Wisconsin Work Nurses Work Nurses 2010 2001 Number Percent Number Percent Hospital 30731 49.9 Hospital 30,675 54 Ambulatory Care 8977 14.6 Outpatient Clinic 8,548 15 Public/Community 2986 4.7 Public/Community 5,986 11 Health Health Home Health 2588 4.2 Nursing/Extended 6927 11.3 Nursing Home 6,074 11 care Academic 1406 2.3 Nursing Education 1,129 2 Education Other 8017 13.0
  • 14. Hours worked per Respondents Percent week Less than 20 3,289 7.5 20-35 17,128 39.1 36-40 17,017 38.9 41-48 3,064 7.0 49 and more hours 3,293 7.5
  • 15. Ambulatory Care 789 Home Health 400 Hospital 3,766 Nursing Home/Extended Care 740 Public/Community Health 182 Other 470
  • 16. In less than 2 years 2,377  In 2 to 4 years 6,658  In 5 to 9 years 9,484  In 10 or more years 32,049
  • 17. What will future demand be?  How many hours will future nurses work?  How acutely ill will future patients be?  Where will patients receive healthcare (where will nurses work?)
  • 18. How many new RNs do we need and where are they needed?  When?  How many new Master’s prepared nurses do we need? (Oh and what type of Master’s?)  When?  How many new Doctorally prepared nurses do we need?  When?
  • 19.
  • 20. Forecasting Nursing Workforce Victoria Udalova, Economist Office of Economic Advisors, Wisconsin Department of Workforce Development October 8, 2010 Victoria Udalova, Economist Forecasting Nursing Workforce
  • 21. Affordable, high quality health care requires a competent, diverse, and sufficient supply of nurses, and a shortage of nurses currently exists nationally. HRSA, 2004 Victoria Udalova, Economist Forecasting Nursing Workforce
  • 22. National Nursing Forecast • 2004 Health Resources and Services Administration (HRSA) study projected that there will be a shortage of over 10,000 FTE nurses in Wisconsin by 2020 • The study is nationally focused and relies on a relatively small sample size • Reports and analysis previously generated by the HRSA have not been updated because of federal funding cuts Victoria Udalova, Economist Forecasting Nursing Workforce
  • 23. History of Data Collection Success • In 2007, DWD developed a comparable model to the HRSA version • Inability to populate the model with robust data served as a catalyst for moving the data effort forward • A workgroup of the health care sector sub- committee of the Council on Workforce Investment (CWI), Wisconsin Health Workforce Data Collaborative, received Medical College of Wisconsin (MCW) grant Victoria Udalova, Economist Forecasting Nursing Workforce
  • 24. History of Data Collection Success • Senator Robson language was signed into law in 2009 Wisconsin Act 28 (2009-11 Budget Bill) on June 29, 2009 mandating the completion of a workforce survey • The survey incorporated the National Minimum Nurse Supply Data Set, developed by the Forum of State Nursing Workforce Centers and funded by the Robert Wood Johnson Foundation and AARP Victoria Udalova, Economist Forecasting Nursing Workforce
  • 25. Current Work on Forecasting Model • Over 77,000 nurse responses are being analyzed and aggregated • At this time, our focus is on the basic statewide nursing supply model • The model is divided by: - 13 age groups - gender - number (head count) of RNs and FTE RNs - direct patient care practitioners and the broad nursing workforce • Guiding force for the base supply projections are changing demographics, and the overall population growth Victoria Udalova, Economist Forecasting Nursing Workforce
  • 26. Upcoming Work and Forecasting Results • Supply model has the potential for scenario analyses such as incorporating inflow/outflow changes • Statewide demand for nursing will be generated after the nursing supply projections are completed • Alternative forecasting demand models are being reviewed now • Supply/Demand relationship will be analyzed to estimate the gap • Results will serve as a guide for policymakers Victoria Udalova, Economist Forecasting Nursing Workforce
  • 27. • Develop and distribute a comprehensive report of the RN survey. • Convene nurse researchers to do an in-depth review of the survey data. • Initiate regional forums to review the data and develop recommendations for nursing education and practice. • Work with the Nursing Coalition to determine needs based on trends in nursing specialties.
  • 28. • Collect the national nursing education minimum data set from all nursing programs in WI. • Review national recommendations on “best practices”. • Analysis the data collected and develop recommendations based on identified needs in WI. and best practices. • Convene a “Best practice Retreat” to plan for education capacity, access and diversity.