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Research ArticleOriginal Research

Predictors of Primary Care Practice Among Medical Students at the Michigan State University College of Human Medicine

Jennifer Edwards-Johnson, Youngjun Lee, Andrea Wendling, Baijiu Patel and Julie Phillips
The Journal of the American Board of Family Medicine March 2022, 35 (2) 370-379; DOI: https://doi.org/10.3122/jabfm.2022.02.210257
Jennifer Edwards-Johnson
From the Measurement and Quantitative Methods Program, College of Education, Michigan State University (YL); Department of Family Medicine, Michigan State University College of Human Medicine (AW, JE-J and JP); and Internal Medicine Residency Program, Lehigh Valley Health Network (BP).
DO
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Youngjun Lee
From the Measurement and Quantitative Methods Program, College of Education, Michigan State University (YL); Department of Family Medicine, Michigan State University College of Human Medicine (AW, JE-J and JP); and Internal Medicine Residency Program, Lehigh Valley Health Network (BP).
MA
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Andrea Wendling
From the Measurement and Quantitative Methods Program, College of Education, Michigan State University (YL); Department of Family Medicine, Michigan State University College of Human Medicine (AW, JE-J and JP); and Internal Medicine Residency Program, Lehigh Valley Health Network (BP).
MD
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Baijiu Patel
From the Measurement and Quantitative Methods Program, College of Education, Michigan State University (YL); Department of Family Medicine, Michigan State University College of Human Medicine (AW, JE-J and JP); and Internal Medicine Residency Program, Lehigh Valley Health Network (BP).
MD
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Julie Phillips
From the Measurement and Quantitative Methods Program, College of Education, Michigan State University (YL); Department of Family Medicine, Michigan State University College of Human Medicine (AW, JE-J and JP); and Internal Medicine Residency Program, Lehigh Valley Health Network (BP).
MD, MPH
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Article Figures & Data

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  • Figure 1.
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    Figure 1.

    Proportions of students distributed among 4 groups based on their intention to practice primary care at matriculation and graduation (n = 430)

  • Figure 2.
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    Figure 2.

    Percent of Michigan State University College of Human Medicine students practicing in each specialty that showed an interest in primary care (PCI) at matriculation but not graduation (Initial PCI group, n = 107).

Tables

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    Table 1.

    Coding Scheme Used to Indicate Primary Care Intention at Matriculation and Graduation, by Survey Year

    CodingYearVariable NameQuestionnaireResponse Number
    MSQ PCI = 1 (YES)AllSPEC_PREF“What general specialty are you considering?”FM (180), IM (200), Peds (500)
    GQ PCI = 1 (YES)1978 to 1990SPEC_PREF1“If yes, which specialty are you planning?”FM (06), IM (07), Peds (19)
    SUB_SPEC_PLAN“Are you planning to become certified in a subspecialty?”No
    1991 to 1998SPEC_PREF1“If yes, which specialty are you planning?”FM (06), IM (07), Peds (19)
    SPEC_PLAN“Are you planning to become certified in a specialty?”Yes
    SUB_SPEC_PLAN“Are you planning to become certified in a subspecialty?”No
    1999 to 2004SPEC_PREF1“Which specialty are you planning?”FM (06), IM (07), Peds (19)
    SPEC_PLAN“Are you planning to become certified in a specialty?”Yes
    2005 to 2010 (2008 was excluded)SPEC_PREF“Are you planning to become certified in a specialty or subspecialty? Choice of specialty/subspecialty”FM (120), IM (140), Peds (320)
    SPEC_PLAN“Are you planning to become certified in a specialty?”Yes
    • Abbreviations: MSQ PCI, primary care intention at matriculation; GQ PCI, primary care intention at graduation; FM, Family Medicine; IM, Internal Medicine; Peds, Pediatrics. All other responses that were not indicated in this table were coded as 0.

    • View popup
    Table 2.

    Descriptive Statistics and Response Rates of All MSU-CHM Students Graduating 1971–2010 (Original Cases) and the Subgroup of Those Students With Complete Responses to the Variables Used for This Study (Complete Cases) With Two-Sample Test for Equality of Proportions with Continuity Correction

    Variables & ResponsesTotal Original Cases (N1 = 2,047)Complete Cases (N2 = 430, 21%)Response Rates (%)Embedded Image (df)P values
    N3PSDN2PSD
    Gender
    Female
    2,047
    1,080
    –
    52%
    –
    0.50
    430
    222
    –
    52%
    –
    0.50
    100.000.14 (1)0.712
    Race/ethnicity
    URM
    2,040
    350
    –
    17%
    –
    0.38
    430
    60
    –
    14%
    –
    0.35
    99.662.41 (1)0.121
    Geographic origin
    Rural origin
    1,903
    595
    –
    31%
    –
    0.46
    430
    142
    –
    33%
    –
    0.47
    92.970.42 (1)0.515
    Practice specialty
    PC
    1,535
    620
    –
    40%
    –
    0.49
    430
    197
    –
    46%
    –
    0.50
    74.993.85 (1)0.050
    MSQ PCI
    Yes
    961
    550
    –
    57%
    –
    0.49
    430
    247
    –
    57%
    –
    0.50
    46.950.00 (1)0.988
    GQ PCI
    Yes
    1,059
    431
    –
    41%
    –
    0.49
    430
    187
    –
    43%
    –
    0.50
    51.730.87 (1)0.351
    Initial PCI
    Yes
    560
    136
    –
    24%
    –
    0.43
    430
    107
    –
    25%
    –
    0.43
    27.360.02 (1)0.887
    Developed PCI
    Yes
    560
    67
    –
    12%
    –
    0.32
    430
    47
    –
    11%
    –
    0.31
    27.360.16 (1)0.686
    Never PCI
    Yes
    560
    182
    –
    33%
    –
    0.47
    430
    136
    –
    32%
    –
    0.47
    27.360.05 (1)0.824
    Always PCI
    Yes
    560
    175
    –
    31%
    –
    0.46
    430
    140
    –
    33%
    –
    0.47
    27.360.14 (1)0.712
    • Abbreviations: Total original cases (N1 = 2,047), the number of samples making up the total sample size; Complete cases (N2 = 430) = the number of cases with responses to all variables used for this analyses; N3, the number of cases with responses to each variable (this number varies across the variables); P, proportions of each variable; SD, standard deviation of the proportion; Response rates, the number of people who completed the survey items divided by the number of people who make up the total sample size; Embedded Image, the χ2 test for equality of proportions of each variables between N3 and N2 to evaluate the representativeness of the selected samples across variables; MSU-CHM, Michigan State University-College of Human Medicine; PC, primary care practice; Initial PCI, intention at matriculation-no intention at graduation; Developed PCI, no intention at matriculation-intention at graduation; Never PCI, no intention at matriculation-no intention at graduation; Always PCI, intention at matriculation-intention at graduation.

    • View popup
    Table 3.

    Frequency and Proportion (%) of Primary Care Intention on Matriculating Student Questionnaire (MSQ) and Graduation Questionnaire (GQ) and Primary Care Practice, Across Demographic Variables With Chi-Square Test Results

    DemographicCharacteristicsFrequency (n = 430)Proportion (%)Embedded Image (df)P values
    MSQ PCI = 0MSQ PCI = 1MSQ PCI = 0MSQ PCI = 1MSQ PCI
    Male10110723.5%24.9%5.466 (1)0.019
    Female8214019.1%32.6%
    Non-URM15621436.3%49.8%0.074 (1)0.786
    URM27336.3%7.7%
    Nonrural origin11916927.7%39.3%0.405 (1)0.525
    Rural origin647814.9%18.1%
    All students18324742.6%57.3%-
    GQ PCI = 0GQ PCI = 1GQ PCI = 0GQ PCI = 1GQ PCI
    Male1317730.5%17.9%6.360 (1)0.012
    Female11211026.0%25.6%
    Non-URM20316747.2%38.8%2.465 (1)0.116
    URM40209.3%4.7%
    Nonrural origin15912937.0%30.0%0.453 (1)0.501
    Rural origin845819.5%13.5%
    All students24318756.5%43.5%-
    PC = 0PC = 1PC = 0PC = 1PC
    Male1297930.0%18.4%9.356 (1)0.002
    Female10411824.2%27.4%
    Non-URM20017046.5%39.5%0.000 (1)1.000
    URM33277.7%6.3%
    Nonrural origin15213635.3%31.6%0.536 (1)0.464
    Rural origin816118.8%14.2%
    All students23319754.2%45.8%-
    • Abbreviations: MSQ PCI, primary care intention at matriculation; GQ PCI, primary care intention at graduation; PC, primary care practice; 0, no, 1, yes.

    • View popup
    Table 4.

    Logistic Regression Model Predicting Primary Care Practice

    BetaSEWalddfP valuesOdds Ratio (95% CI)
    Always PCI4.6060.43110.6911< 0.001100.08 (45.05–246.01)
    Developed PCI4.0940.5058.1021< 0.00159.98 (23.47–172.00)
    Initial PCI1.3550.4043.3571< 0.0013.88 (1.81–8.92)
    Female0.4980.2901.71710.0861.64 (0.93–2.92)
    URM0.6270.4011.56610.1171.87 (0.85–4.10)
    Rural origin−0.1850.307−0.60110.5480.83 (0.45–1.52)
    • Abbreviations: SE, standard error; Always PCI, intention at matriculation-intention at graduation; Developed PCI, intention at matriculation-intention at graduation; Initial PCI, intention at matriculation-no intention at graduation; URM, underrepresented minority; CI, confidence interval.

    • View popup
    Appendix.

    Categorized Specialty Areas

    CategorySpecialties Included
    Adult Medical SubspecialtyCardiology, Infectious Disease, Sleep Medicine, Neurology, Interventional Cardiology, Nephrology, Allergy and Immunology, Gastroenterology, Hematology/Oncology, Rheumatology, Cardiac Electrophysiology, Neuromuscular Medicine
    Adult Support SpecialtyAnesthesiology, Radiology, Pathology, Radiation Oncology, Forensic Pathology, Physical Medicine & Rehabilitation, Pulmonary Medicine and Critical Care, Pain Management, Radiation Oncology, Interventional Radiology, Anatomic Pathology
    Adult Surgical SubspecialtyOphthalmology, Dermatology, Thoracic Surgery, Plastic Surgery, Neurosurgery, Otolaryngology, Orthopedic Surgery, Vascular Surgery, Cardiothoracic Surgery, Urology, Hand Surgery, Colorectal Surgery, Trauma Surgery, Breast Surgery, Surgical Critical Care
    Pediatric SubspecialtyPediatric Neurology, Pediatric Infectious Disease, Pediatric Cardiology, Pediatric Hematology/Oncology, Pediatric Endocrinology, Adolescent Medicine, Neonatology, Pediatric Physical Medicine and Rehabilitation, Pediatric Nephrology, Pediatric Rheumatology, Pediatric Gastroenterology
    Pediatric Support SpecialtyPediatric Anesthesiology, Pediatric Pulmonology, Pediatric Critical Care, Pediatric Radiology
    Pediatric Surgical SubspecialtyPediatric Orthopedic Surgery
    OtherOccupational Medicine, Integrative Medicine, Clinical Genetics, Addiction Medicine
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The Journal of the American Board of Family     Medicine: 35 (2)
The Journal of the American Board of Family Medicine
Vol. 35, Issue 2
March/April 2022
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Predictors of Primary Care Practice Among Medical Students at the Michigan State University College of Human Medicine
Jennifer Edwards-Johnson, Youngjun Lee, Andrea Wendling, Baijiu Patel, Julie Phillips
The Journal of the American Board of Family Medicine Mar 2022, 35 (2) 370-379; DOI: 10.3122/jabfm.2022.02.210257

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Predictors of Primary Care Practice Among Medical Students at the Michigan State University College of Human Medicine
Jennifer Edwards-Johnson, Youngjun Lee, Andrea Wendling, Baijiu Patel, Julie Phillips
The Journal of the American Board of Family Medicine Mar 2022, 35 (2) 370-379; DOI: 10.3122/jabfm.2022.02.210257
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