The North Carolina Health Professions Data System Katie Gaul, MA, Research Associate



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The North Carolina Health Professions Data System Katie Gaul, MA, Research Associate With Erin Fraher, PhD, MPP, Director North Carolina Health Professions Data System Cecil G. Sheps Center for Health Services Research University of North Carolina at Chapel Hill

Who are we? A collaboration between the Sheps Center, NC AHEC and the health professions licensing boards Data are provided voluntarily by the boards there is no legislation that requires this, there is no appropriation ~30 years of continuous, complete licensure (not survey) data

Who are we? Data housed at Sheps but remain property of licensing board, permission sought for each new use System is independent of government or health care professionals Funding provided by: NC AHEC Program Office, data request fees, project cross-subsidies, and the UNC-CH Office of the Provost.

Our Mission To provide timely, objective data and analysis to support decision making for health professions policy in North Carolina and the United States To support research and policy analysis of health workforce issues To train others in how to develop and maintain data systems in health workforce

Categories of Health Professionals in Data System* Physicians (MDs and DOs) Physician Assistants Dentists Dental Hygienists Optometrists Pharmacists Physical Therapists Physical Therapist Assistants Respiratory Therapists (2004) Registered Nurses Nurse Practitioners Certified Nurse Midwives (1985) Licensed Practical Nurses Chiropractors Podiatrists Psychologists Psychological Associates Occupational Therapists (2006) *Have published data since 1979 for all professions unless otherwise noted in parentheses. Occupational Therapy Assistants (2006)

Data Collected by the HPDS Initial Licensure Data Renewal Data *Desirable, through not imperative in the minimum dataset for HPDS purposes. Source: NC Health Professions Data System.

Challenges to Collecting Data Motivational Why do it? Convince policy-makers and funders that it s worth it to collect and analyze workforce data Organizational - How to set it up, where Analytical - How do you count/define/locate providers? Financial - Who pays? How do you sustain?

CHALLENGES Motivational Organizational Analytical Financial Data-driven workforce analyses necessary to: Monitor Trends Percentage Growth Since 1990 of Physicians and Primary Care Physicians per 10,000 Population, North Carolina, 1991-2009 % c h a n g e sin c e 1 9 9 0 45 40 35 30 25 20 15 10 5 0 Sources: North Carolina Health Professions Data System with data derived from the North Carolina Medical Board,1979 to 2009; Figures include all licensed, active, instate, non-federal, non-resident-in-training physicians. Primary care include FM, GP, IM, Peds, Ob-Gyn. Year Primary Care Physicians All Physicians 39% 32%

Motivational CHALLENGES Organizational Analytical Financial Data-driven workforce analyses necessary to: Challenge Anecdotal Evidence Ratio of Births by Providers *2005 data contained a large percentage of missing values, therefore 2006 data were used. Source: NC Health Professions Data System with data derived from the North Carolina Medical Board. Data are for active, in-state, non-federal, non-resident-intraining physicians licensed by the NC Medical Board as of October of each year. Data are self-reported at time of initial licensure and subsequent renewal.

Motivational CHALLENGES Organizational Analytical Financial Data-driven workforce analyses necessary to: Justify Funding Requests Dental school: HPDS data instrumental in decision to build new dental school in eastern part of state Pharmacy school: HPDS data saved the state an estimated $80 million by showing NC had more than adequate supply of pharmacists Medical school and GME expansion: HPDS data used to identify geographic and specialty areas in short supply

Motivational CHALLENGES Organizational Analytical Financial Data-driven workforce analyses necessary for: Evaluation North Carolina Medical School Graduates: Retention in State and in Primary Care After Five Years, Class of 2004 School 2004 Graduates In Training or Practice In NC 2009 In Primary Care and in Practice in NC 2009 # % # % Duke 106 21 20% 4 4% ECU 81 42 52% 21 26% UNC-Chapel Hill 176 54 31% 26 15% Wake Forest 107 40 37% 16 15% Total 470 157 33% 67 14% Sources: North Carolina Health Professions Data System with data derived from the North Carolina Medical Board, North Carolina medical schools, AAMC, AMA and NC State Education Assistance Authority. Data include actively practicing physicians.

CHALLENGES Motivational Organizational Analytical Financial Data-driven workforce analyses necessary to: Identify Uncomfortable Truths Sources: NC Health Professions Data System with data derived from the following boards: NC State Board of Dental Examiners, NC Medical Board, NC Board of Pharmacy, NC Board of Physical Therapy Examiners, NC Board of Nursing and the NC Board of Occupational Therapy. Population data derived from Population Estimates, U.S. Census Bureau: State and County QuickFacts. Missing race data were excluded from this analysis.

CHALLENGES Motivational Organizational Analytical Financial Why Do State-Based Workforce Planning? State and sub-state variations in health workforce needs Supply problematic in some specialties and maldistribution remains persistent problem Historical absence of national workforce planning Many policy levers are state-level Decisions about whether to enact or change policies directed at training, recruiting, and retaining health professionals affect wide range of stakeholders, are source of contentious debate

Who Uses Data & For What Purposes?

CHALLENGES Motivational Organizational Analytical Financial Key Organizational Challenges Licensure body does not see data collection as their role Licensure body lacks staff able to undertake data collection Organization of licensure body: housed within government versus as independent entity? As one body or individual boards? Do you legislate this?

CHALLENGES Motivational Organizational Analytical Financial Key Organizational Challenges Can highlight underlying turf issues between existing organizations Where are data housed? How to protect confidentiality? Who can access data and for what purpose? How to protect data objectivity Sheps Center as academic institution has credibility and is seen as objective

CHALLENGES Motivational Organizational Analytical Financial

CHALLENGES Motivational Organizational Analytical Financial Funding: Where Do States Get Money to Support Increased Data Collection? Start up costs: separate, new and shiny entity versus embedding it in existing entity Cost of maintaining system to ensure longitudinal data Who bears the costs? The licensure body? The tax-payer? AHEC? Private foundations? Professional associations? Staffing: need data management, analytic, cartographic, policy analysis, writing, presentation skills, etc.

Keys to Success How have we been able to get past the challenges? Vision Persistence Relationships Objectivity Quality Cooperation

Questions? Katie Gaul k_gaul@unc.edu (919) 966-6529 North Carolina Health Professions Data System http://www.shepscenter.unc.edu/hp