Using State All-Payer Claims Data to Identify the Active Primary Care Workforce: A Novel Study in Virginia

被引:3
|
作者
Huffstetler, Alison N. [1 ,6 ]
Sabo, Roy T. [2 ]
Lavallee, Martin [2 ]
Webel, Ben [1 ]
Kashiri, Paulette Lail [1 ]
Britz, Jacquelyn [1 ]
Carrozza, Mark [3 ]
Topmiller, Michael [3 ]
Wolf, Elizabeth R. [4 ]
Bortz, Beth A. [5 ]
Edwards, Ashley M. [5 ]
Krist, Alex H. [1 ]
机构
[1] Virginia Commonwealth Univ, Dept Family Med & Populat Hlth, Richmond, VA USA
[2] Virginia Commonwealth Univ, Dept Biostat, Richmond, VA USA
[3] Hlth Landscape, Cincinnati, OH USA
[4] Virginia Commonwealth Univ, Dept Pediat, Richmond, VA USA
[5] Virginia Ctr Hlth Innovat, Richmond, VA USA
[6] Virginia Commonwealth Univ, Dept Family Med & Populat Hlth, 830 Main St, Richmond, VA 23219 USA
关键词
PHYSICIAN MASTERFILE;
D O I
10.1370/afm.2854
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
PURPOSE Primary care is the foundation of the health care workforce and the only part that extends life and improves health equity. Previous research on the geographic and specialty distribution of physicians has relied on the American Medical Association's Masterfile, but these data have limitations that overestimate the workforce. METHODS We present a pragmatic, systematic, and more accurate method for identifying primary care physicians using the National Plan and Provider Enumeration System (NPPES) and the Virginia All-Payer Claims Database (VA-APCD). Between 2015 and 2019, we identified all Virginia physicians and their specialty through the NPPES. Active physicians were defined by at least 1 claim in the VA-APCD. Specialty was determined hierarchically by the NPPES. Wellness visits were used to identify non-family medicine physicians who were pro-viding primary care. RESULTS In 2019, there were 20,976 active physicians in Virginia, of whom 5,899 (28.1%) were classified as providing primary care. Of this primary care physician workforce, 52.4% were family medicine physicians; the remaining were internal medicine physicians (18.5%), pediatricians (16.8%), obstetricians and gynecologists (11.8%), and other specialists (0.5%). Over 5 years, the counts and relative percentages of the workforce made up by primary care physicians remained relatively stable. CONCLUSIONS Our novel method of identifying active physicians with a primary care scope provides a realistic size of the primary care workforce in Virginia, smaller than some previous estimates. Although the method should be expanded to include advanced practice clinicians and to further delineate the scope of practice, this simple approach can be used by policy makers, payers, and planners to ensure adequate primary care capacity.
引用
收藏
页码:446 / 451
页数:6
相关论文
共 27 条
  • [1] Using All-Payer Claims Databases to Study Insurance and Health Care Utilization Dynamics
    Michael Dworsky
    Journal of General Internal Medicine, 2017, 32 : 1069 - 1070
  • [2] Using All-Payer Claims Databases to Study Insurance and Health Care Utilization Dynamics
    Dworsky, Michael
    JOURNAL OF GENERAL INTERNAL MEDICINE, 2017, 32 (10) : 1069 - 1070
  • [3] Evaluating statewide HIV preexposure prophylaxis implementation using All-Payer Claims Data
    Raifman, Julia
    Nocka, Kristen
    Galarraga, Omar
    Wilson, Ira B.
    Crowley, Christina
    Tao, Jun
    Napoleon, Siena
    Marak, Theodore
    Chan, Philip A.
    ANNALS OF EPIDEMIOLOGY, 2020, 44 : 1 - +
  • [4] Using all-payer claims data for health surveillance of people with intellectual and developmental disabilities
    Phillips, K. G.
    Houtenville, A. J.
    Reichard, A.
    JOURNAL OF INTELLECTUAL DISABILITY RESEARCH, 2019, 63 (04) : 327 - 337
  • [5] Evaluating Healthcare Claims for Neurocysticercosis by Using All-Payer All-Claims Data, Oregon, 2010-2013
    Flecker, Robert H.
    O'Neal, Seth E.
    Townes, John M.
    EMERGING INFECTIOUS DISEASES, 2016, 22 (12) : 2168 - 2170
  • [6] Telehealth Use in a Rural State: A Mixed-Methods Study Using Maine's All-Payer Claims Database
    Jonk, Yvonne C.
    Burgess, Amanda
    Williamson, Martha Elbaum
    Thayer, Deborah
    MacKenzie, Jennifer
    McGuire, Catherine
    Fox, Kimberley
    Coburn, Andrew F.
    JOURNAL OF RURAL HEALTH, 2021, 37 (04): : 769 - 779
  • [7] Multi-level factors linked to young adult primary care transitions: evidence from a state all-payer claims analysis
    Nowak, Sarah A.
    Reblin, Maija
    Fung, Mark
    Turley, Chelsea
    Threlkeld, Kirsten
    BMC PRIMARY CARE, 2024, 25 (01):
  • [8] Comparing Emergency Department Use Among Medicaid and Commercial Patients Using All-Payer All-Claims Data
    Kim, Hyunjee
    McConnell, K. John
    Sun, Benjamin C.
    POPULATION HEALTH MANAGEMENT, 2017, 20 (04) : 271 - 277
  • [9] POSTER SESSION D: MULTI-LEVEL FACTORS IMPACTINGYOUNG ADULT PRIMARY CARE TRANSITIONS: EVIDENCE FROM A STATE ALL-PAYER CLAIMS ANALYSIS
    Nowak, Sarah
    Reblin, Maija
    Fung, Mark
    Threlkeld, Kirsten
    ANNALS OF BEHAVIORAL MEDICINE, 2023, 57 : S530 - S530
  • [10] Validation of the Inhospital Mortality for Pulmonary Embolism Using Claims Data (IMPACT) Prediction Rule within an All-Payer Inpatient Administrative Claims Database
    Coleman, Craig I.
    Kohn, Christine G.
    Crivera, Concetta
    Schein, Jeff
    Peacock, W. Frank
    BLOOD, 2015, 126 (23)