Efforts to Recruit Medical Students From Rural Counties: A Model to Evaluate Recruitment Efforts.

Background Over the past 40 years, the physician supply of North Carolina (NC) grew faster than the total population. However, the distribution of physicians between urban and rural areas increased, with many more physicians in urban areas. In rural counties, access to care and health disparities remain concerning. As a result, the medical school implemented pipeline programs to recruit more rural students. This study investigates the results of these recruitment efforts. Methodology Descriptive analyses were conducted to compare the number and percentage of rural and urban students from NC who applied, interviewed, and were accepted to the University of North Carolina's School of Medicine (UNC SOM). The likely pool of rural applicants was based on the number of college-educated 18-34-year-olds by county. Results Roughly 10.9% of NC's population of college-educated 18-34-year-olds live in rural counties. Between 2017 and 2019, 9.3% (n = 225) of UNC SOM applicants were from a rural county. An increase of just 14 additional rural applicants annually would bring the proportion of rural UNC SOM applicants in alignment with the potential applicant pool in rural NC counties. Conclusions Our model of analysis successfully calculated the impact of recruitment efforts to achieve proportional parity in the medical school class with the rural population of the state. Addressing rural physician workforce needs will require multiple strategies that affect different parts of the medical education and healthcare systems, including boosting college completion rates in rural areas. This model of analysis can also be applied to other pipeline programs to document the success of the recruitment efforts.

Using State Licensure Data to Assess North Carolina's Health Workforce COVID-19 Response Capacity.

BACKGROUND In the early months of the COVID-19 pandemic, health care decision-makers in North Carolina needed information about the available health workforce in order to conduct workforce surge planning and to anticipate concerns about professional or geographic workforce shortages.METHOD Descriptive and cartographic analyses were conducted using licensure data held by the North Carolina Health Professions Data System to assess the supply of respiratory therapists, nurses, and critical care physicians in North Carolina. Licensure data were merged with population data and numbers of intensive care unit (ICU) beds drawn from the Centers for Medicare and Medicaid Services (CMS) Healthcare Cost Report Information System (HCRIS).RESULTS The pandemic highlighted how critical data infrastructure is to public health infrastructure. Respiratory therapists and acute care, emergency, and critical care nurses were diffused broadly throughout the state, with higher concentrations in urban areas. Critical care physicians were primarily based in areas with academic health centers.LIMITATIONS Data were unavailable to capture the rapid changes in supply due to clinicians reentering or exiting the workforce. County-level analyses did not reflect individual, facility-level supply, which was needed to plan organizational responses.CONCLUSIONS Health care decision-makers in North Carolina were able to access information about the supply of clinicians critical to caring for COVID-19 patients due to the state's long-standing investments in health workforce data infrastructure. Ability to respond was made easier due to strong working relationships between the University of North Carolina at Chapel Hill Cecil G. Sheps Center for Health Services Research, the North Carolina Area Health Education Centers Program, the health professional licensure boards, and state government health care agencies.

Improving the Return on Investment of Graduate Medical Education in North Carolina.

The National Academy of Medicine has called for fundamental reform in the governance and accountability of graduate medical education, but how to implement this change is unclear. We describe the North Carolina graduate medical education system, and we propose tracking outcomes and aligning residency stipends with outcomes such as specialty choice, practice in North Carolina, and acceptance of new Medicaid and Medicare patients.

Tracking and monitoring the health workforce: a new human resources information system (HRIS) in Uganda.

BACKGROUND: Health workforce planning is important in ensuring that the recruitment, training and deployment of health workers are conducted in the most efficient way possible. However, in many developing countries, human resources for health data are limited, inconsistent, out-dated, or unavailable. Consequently, policy-makers are unable to use reliable data to make informed decisions about the health workforce. Computerized human resources information systems (HRIS) enable countries to collect, maintain, and analyze health workforce data. METHODS: The purpose of this article is twofold. First, we describe Uganda's transition from a paper filing system to an electronic HRIS capable of providing information about country-specific health workforce questions. We examine the ongoing five-step HRIS strengthening process used to implement an HRIS that tracks health worker data at the Uganda Nurses and Midwives Council (UNMC). Secondly, we describe how HRIS data can be used to address workforce planning questions via an initial analysis of the UNMC training, licensure and registration records from 1970 through May 2009. RESULTS: The data indicate that, for the 25 482 nurses and midwives who entered training before 2006, 72% graduated, 66% obtained a council registration, and 28% obtained a license to practice. Of the 17 405 nurses and midwives who obtained a council registration as of May 2009, 96% are of Ugandan nationality and just 3% received their training outside of the country. Thirteen per cent obtained a registration for more than one type of training. Most (34%) trainings with a council registration are for the enrolled nurse training, followed by enrolled midwife (25%), registered (more advanced) nurse (21%), registered midwife (11%), and more specialized trainings (9%). CONCLUSION: The UNMC database is valuable in monitoring and reviewing information about nurses and midwives. However, information obtained from this system is also important in improving strategic planning for the greater health care system in Uganda. We hope that the use of a real-world example of HRIS strengthening provides guidance for the implementation of similar projects in other countries or contexts.