maine nursing forecaster...•2015 is the ‘baseline’ –the most recent supply data for rns...
TRANSCRIPT
neoni.org
The Center for Health Affairs
workforce initiative
Lisa Anderson, MSN, RN,The Center for Health Affairs/NEONI
Patricia J. Cirillo, Ph.D.,The Center for Health Affairs/NEONI
[email protected], (216) 255-3655
Maine Nursing ForecasterRN & APRN
REVISED January 30, 2017
Presented by
The Center for Health Affairs workforce initiative, NEONI
Project
Methodology
Supply: Maine’s
Nurse Workforce
Demand: Maine’s
Maine’s
Populations
Bringing it Together – How Future
Supply & Demand Will Trend
Questions and
Answers
The Center for Health Affairs workforce initiative, NEONI
• Definition of ‘region’ is where most
patients live and where most of the
workforce lives.
• Seven Regions
• York/Cumberland Counties
• Sagadahoc/Lincoln/Knox/Waldo
• Hancock/Washington
• Oxford/Franklin/Androscoggin
• Somerset/Kennebec
• Piscataquis/Penobscot
• Aroostook
Maine’s Regions
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Data Sources
• Nurse registration data, 2015
– In Maine, nurses licenses are renewed before their birthdays, and expire
after two years.
– Nurses renew their licenses based on their year of birth (odd or even
numbered year).
– The ‘Minimum Data Set,’ captured during the renewal process, is a rich
source of information on nurses, including key information needed for a
forecast (age, working status, work setting, area of practice, county of
residence and county of employment).
• The State of Maine provides population projection estimates
• Hospital annual reports provide volume statistics which allow us to estimate
the number of nurses needed, for hospital care, based on population size.
The Center for Health Affairs workforce initiative, NEONI
Maine’s Nurse
Workforce
The Center for Health Affairs workforce initiative, NEONI
Maine’s Nurse Workforce
• In 2015, there were approximately
27,000 (RNs/APRNs/LPNs).
• 85.8% of all licensees are working.
• The great majority are RNs (85.3%).
• LPN programs have all closed, and
LPN workforce is expected to be very
small by 2027.
The Center for Health Affairs workforce initiative, NEONI
Maine’s Population
The Center for Health Affairs workforce initiative, NEONI
Maine’s Population
• What a difference ten years will make.
0
20,000
40,000
60,000
80,000
100,000
120,000
0-4 5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80-84
Maine Population, By Age Groups, 2017 - 2027
2017 2027
Somewhat similar in 2017 and 2027Very different story for older cohorts:
Significantly more people aged 65+ in
2027 than in 2017.
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3,721 4,043
5,200
5,784
1,524
-
1,000
2,000
3,000
4,000
5,000
6,000
7,000
2015
Age Group of RN Population
<35 35-44 45-54 55-64 65+
Same issue among the RN Workforce
• 30% of the current RN (FTE) workforce is between the age of 55 and 64.
• There are currently about 8,000 RNs which need to eventually take the place of
approximately 11,000 RNs.
IMPACT OF AGE ON INPATIENT DEMAND – Hospital Setting
10
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Orientation to Model
The Center for Health Affairs workforce initiative, NEONI
• 2015 is the ‘baseline’
– The most recent supply data for RNs
• We project to 2027 because the State’s
demographers report population projections for five
year periods: 2017, 2022, and 2027.
Timeframe of Model
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What the model accounts for….
• Number of newly licensed nurses each year
• Retention rates and FTE equivalence
• Number of nurse recruits into each region
• ‘Export rate’ (providing care to those outside of region)
• Utilization Factors (variable by healthcare setting)
• Population demographics
• Population Migration (into the region)
• Nurse workforce demographics, work patterns [updated each year]
• Number of new (net) hospital beds anticipated
• Proportion of healthcare which is provided in hospitals, vs. LTC vs. homecare, etc.
• There is a separate model for each region and results are
summed to create the totaled state projections.
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“Demand Factors”
SettingInpatient/Per patient days
Emergency Visits/1,000 people
Ambulatory Visits/ per day
Nursing Facilities/1,000 people
Home Health/1,000 people
Community Health*
Public Health*
Nursing Education**Estimated from nurse registrations and 2010
census
Demand Factors Based on
2015 Nurse Registration Data
These will likely change in the next several years.
*Based on widely-used HRSA figures
The Center for Health Affairs workforce initiative, NEONI
Dynamic vs. Static Model
This is a forecasting tool, not a forecast. That is, we know that demand for healthcare
can shift, sometimes dramatically, over time, so
the tool accommodates that.
Trends in healthcare (new treatments, technologies), economic conditions and
patient acuity all play a part in the demand for healthcare.
Therefore, this tool is designed to allow for adjustments of the
assumptions to reflect changes in demand (and
supply).
The Center for Health Affairs workforce initiative, NEONI
The Basic Math Behind The Model
Supply ModelHow Many Nurses
We Have
Number of newly licensed nurses
(RNs and APRNs)
Demographics of the nurse workforce
(in particular, age)
Work patterns of the nurse workforce
(in particular, the number of hours worked)
Demand Model How Many Nurses
We Need
Size of the populationAmount of healthcare (by setting) required
by the population
Number of nurses required to provide each
‘unit’ of healthcare
Trends in healthcare, economic conditions,
patient acuity
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Within each model, there are “input cells” where the user
can make changes to the various factors in order to view
what sort of impact those changes have on the
supply/demand gap.
• This is what makes this modeling process different than most. We did not just predict numbers, we created a tool where you can predict the future if something unexpected happens. This model is designed to be used for the next 10 years.
How Does One Use The Model?
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Model Characteristics and Function
• Spreadsheet series of data bases connected by unique mathematical relationships.
Excel Platform
• Several settings that can be adjusted to create supply and demand hypothetical situations
Adjustable Settings
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Simulations: Examples
How many new nurses
would we need to
educate to avoid a
shortage?
What if employers are
using those nurse
differently?
What if nurses retire at a
different rate? Leave the
region at a different rate?
What if a population in a
region experiences a
large shift (in size or in
composition)?
The Center for Health Affairs workforce initiative, NEONI