Skip to main content
Family Medicine logoLink to Family Medicine
. 2023 Jan 26;55(3):162–170. doi: 10.22454/FamMed.2023.807915

Rural Versus Urban Family Medicine Residency Scope of Training and Practice

Samantha W Pollack a,, C Holly A Andrilla a, Lars E Peterson b,c, Zachary J Morgan b, Randall Longenecker d, David Schmitz e, David Evans a, Davis G Patterson a
PMCID: PMC10622018  PMID: 36888670

Abstract

Background and Objectives:

Little is known about how rural and urban family medicine residencies compare in preparing physicians for practice. This study compared the perceptions of preparation for practice and actual postgraduation scope of practice (SOP) between rural and urban residency program graduates.

Methods:

We analyzed data on 6,483 early-career, board-certified physicians surveyed 2016-2018, 3 years after residency graduation, and 44,325 later-career board-certified physicians surveyed 2014-2018, every 7 to 10 years after initial certification. Bivariate comparisons and multivariate regressions of rural and urban residency graduates examined perceived preparedness and current practice in 30 areas and overall SOP using a validated scale, with separate models for early-career and later-career physicians.

Results:

In bivariate analyses, rural program graduates were more likely than urban program graduates to report being prepared for hospital-based care, casting, cardiac stress tests, and other skills, but less likely to be prepared in some gynecologic care and pharmacologic HIV/AIDS management. Both early- and later-career rural program graduates reported broader overall SOPs than their urban-program counterparts in bivariate analyses; in adjusted analyses this difference remained significant only for later-career physicians.

Conclusions:

Compared with urban program graduates, rural graduates more often rated themselves prepared in several hospital care measures and less often in certain women’s health measures. Controlling for multiple characteristics, only rurally trained, later-career physicians reported a broader SOP than their urban program counterparts. This study demonstrates the value of rural training and provides a baseline for research exploring longitudinal benefits of this training to rural communities and population health.

INTRODUCTION

Health care workforce shortages in rural communities have persisted for decades. When coupled with lack of resources in rural communities, this further exacerbates access to health care, resulting in negative health outcomes for rural populations. Rural training has been shown to influence choice of rural practice, which could help alleviate this workforce maldistribution. 1 Rural training may also promote a broader scope of practice (SOP), to the further benefit of rural communities.

The SOP in family medicine is not limited by patient gender, age, disease process, or site of care. 2 Nevertheless the SOP of family physicians has been decreasing in the last 20 years in areas such as care of children, 3 inpatient medicine, 4 maternity care, 5, 6 and endoscopy. 7 Despite this decline, recent graduates of family medicine residencies intend a broader SOP 8 and report levels of preparation for a more comprehensive scope than they eventually practice. 9, 10 Conceptual modeling and theory behind family physician SOP point to the influence of personal (physician age, gender, education and training, career stage), workplace (health system administration, work culture), environmental (rural location, geographical location), and population factors (patient demographics, social barriers to care). 11, 12 Narrowing SOP was found to be influenced at specific career points, including residency education. 12 The context of training in residency can influence SOP, with broader SOP for graduates with more rural training and from single-residency institutions. 12, 13

Rural residencies have been defined and characterized in a variety of ways. 14, 15, 16 They are often smaller and have fewer resources compared to urban residencies, such as lack of financial support and fewer faculty and teaching resources. 17 Compared with urban residency programs, higher proportions of graduates from rural residency programs choose rural practice. 16 Even though rural residency programs have increased in number over the past decade, during the period we studied, rural residents represented less than 5% of all family medicine trainees. 1 Rural versus urban practice location also influences SOP, as past research has found that rural physicians have a broader SOP than urban physicians, particularly in primary care. 18, 19 Little is known, however, about how rural versus urban residency preparation may contribute to eventual SOP. To address the gaps in knowledge about the potential value of rural and urban training, our study analyzed self-reported perception of preparation for practice and actual SOP of rural- and urban-trained early-career family physicians 3 years postresidency graduation. Finally, we examined rural- and urban-trained, later-career family physicians’ self-reported SOP and current practice location.

METHODS

Data Sources

We pooled data from two distinct validated surveys conducted by the American Board of Family Medicine (ABFM). The first is the National Graduate Survey (NGS), administered 3 years after residency graduation to all ABFM board-certified physicians from 2016-2018 (graduates from 2013-2016; demographics shown in Table 1 ). 20 Response rates for this survey varied from 66.7%-67.8% during this time. 21 The second is the ABFM Continuing Certification Examination Registration Questionnaire (RECERT), a mandatory (100% response) component of the registration process administered to later-career physicians applying to continue their ABFM certification every 7 to 10 years after initial certification, from 2014-2018. 22 Details of the data collection methods for these surveys have been described elsewhere, but in summary, both are administered electronically on the ABFM website. The NGS physicians receive up to five reminders to complete the survey over a calendar year and the RECERT is completed during two distinct registration windows during the year. We used The RTT Collaborative list of residencies defined as rural if the primary family medicine practice of that program was in a rural location according to a Rural-Urban Commuting Area Code (RUCA) of 4 or greater and where more than half of residents’ training time is spent in a rural location by the same definition. 14, 23, 24 We use the RUCA definition of rural throughout our study, including for practice location; any location not meeting this definition of rural is considered urban. Rurally-trained physicians are those who completed a rural residency.

Table 1. Characteristics of Early-Career Physicians Responding to the ABFM National Graduate Survey, 2016-2018.

Rural Residency Graduates , N=272 (4.2%)

Urban Residency Graduates , N=6,211 (95.8%)

All Graduates ,

N=6,483

P Value

Age, Years, n (%)

NS

Mean (SD) [Range]

36.1 (4.6)

35.9 (4.5)

35.9 (4.5) [28 – 65]

28 – 34

131 (48.2)

3,032 (48.8)

3,163 (48.8)

35 – 39

97 (35.7)

2,287 (36.8)

2,384 (36.8)

40+

44 (16.2)

892 (14.4)

936 (14.4)

Gender, n (%)

.035

Female

137 (50.4)

3,530 (56.8)

3,667 (56.6)

Male

135 (49.6)

2,681 (43.2)

2,816 (43.4)

Degree Type, n (%)

NS

Allopathic (MD)

232 (85.3)

5,169 (83.2)

5,401 (83.3)

Osteopathic (DO)

40 (14.7)

1,042 (16.8)

1,082 (16.7)

Medical School Location, n (%)

.001

International (IMG)

119 (43.8)

2,095 (33.7)

2,214 (34.2)

United States/Canada

153 (56.3)

4,116 (66.3)

4,269 (65.9)

NGS Survey Year , n (%)

NS

2016

88 (32.4)

1,981 (31.9)

2,069 (31.9)

2017

91 (33.5)

2,068 (33.3)

2,159 (33.3)

2018

93 (34.2)

2,162 (34.8)

2,255 (34.8)

Rural Practice Location (RUCA > 4), n (%)

<.001

Yes 

130 (51.0)

966 (16.6)

1,096 (18.0)

Large rural

74 (29.0)

477 (8.2)

551 (9.0)

Small rural

39 (15.3)

359 (6.2)

398 (6.5)

Isolated small rural

17 (6.7)

130 (2.2)

147 (2.4)

No (urban)

125 (49.0)

4,872 (83.5)

4,997 (82.0)

Practices Inpatient Medicine, n (%)

<.001

Yes

136 (51.3)

2,396 (39.5)

2,532 (40.0)

No

129 (48.7)

3,674 (60.5)

3,803 (60.0)

Practices Outpatient Continuity Care, n (%)

.013

Yes

200 (74.9)

4,962 (81.0)

5,162 (80.8)

No

67 (25.1)

1,161 (19.0)

1,228 (19.2)

Principal Practice Site (of Those Practicing Continuity Care), n (%)

<.001

Hospital-owned practice

105 (51.0)

1,939 (37.9)

2,044 (38.4)

Independently owned practice

27 (13.1)

773 (15.1)

800 (15.0)

Managed care/HMO practice

9 (4.4)

380 (7.4)

389 (7.3)

Safety-net practice

45 (21.8)

817 (16.0)

862 (16.2)

Academic health center

10 (4.9)

578 (11.3)

588 (11.0)

Other*

10 (4.9)

636 (12.4)

646 (12.1)

Practices Both Inpatient Medicine and Continuity Care, n (%)

.048

Yes

176 (66.4)

4,371 (72.0)

4,547 (71.8)

No

89 (33.6)

1,699 (28.0)

1,788 (28.2)

Residency Program Census Region, n (%)

<.001

Northeast

38 (14.0)

1,069 (17.3)

1,107 (17.2)

Midwest

76 (27.9)

1,704 (27.6)

1,780 (27.6)

South

123 (45.2)

1,991 (32.3)

2,114 (32.8)

West

35 (12.9)

1,403 (22.8)

1,438 (22.3)

Abbreviations: ABFM: American Board of Family Medicine; IMG: international medical graduate; HMO: health maintenance organization. Bold values indicate significance at P=.05. NS: not significant at P=.05. Missing cases: Inpatient medicine, 148; continuity care, 93; principal practice site, 1,154. Census region, 44. Safety net practice: federal qualified health care [FQHC] or rural health clinic [RHC]; *”Other” includes: Indian Health Service, government clinic nonfederal, federal, work site clinic, and other-unspecified. 

Variables

Main Outcomes

We used data from both surveys for SOP comparisons. We only used data from the NGS of early-career physicians to analyze perceived residency preparation for practice. The NGS asked respondents to indicate whether their residency training adequately prepared them to practice for each of 30 subject areas and procedures (yes/no), and if they were currently practicing the subject area or procedure (yes/no; see Table 2 for complete list of procedures and clinical activities). Perceived residency preparedness and current practice were the main outcomes of interest.

Table 2. Percentage of Early-Career Physicians Reporting Perceived Preparedness and Current Practice by Residency Program Type, NGS 2016-2018.

% Reporting Perceived Preparedness

% Currently Practicing

Residency Graduates

Rural Graduates ,

N=272 (4.2%)

Urban Graduates , N=6,211 (95.8%)

Rural Graduates , N=272 (4.2%)

Urban Graduates , N=6,211 (95.8%)

Subject Area/Procedure 

Care of Children

Pediatric outpatient care

91.1

91.6

73.6

76.4

Newborn hospital care

85.6

87.8

23.0

23.9

Pediatric hospital care

82.2**

75.1

26.8**

19.1

Neonatal circumcision

86.3*

80.2

18.1

17.5

Hospital-Based Care a

Intensive care

78.9***

65.2

38.5***

21.9

Lumbar puncture

64.7*

55.7

33.1

31.0

Intubation

78.7***

58.3

50.0***

34.3

Ventilator management

60.3*

50.8

41.9**

30.5

Central line placement

61.8**

49.9

32.4

26.7

Thoracentesis

54.4***

37.7

24.3

20.9

Women’s Health 

Maternity care

88.2

90.2

23.0

25.8

Endometrial biopsy

56.3*

62.9

23.8

25.5

IUD insertion and removal

74.4

78.3

32.1**

41.2

Implantable LARC

65.2

69.0

30.9**

39.1

Colposcopy

50.4*

56.9

16.2

13.4

Uterine aspiration/D&C

13.3

16.6

4.6

4.7

Pregnancy termination

10.4

13.2

2.7

3.0

Basic OB ultrasound

55.6

57.5

16.6

14.8

Musculoskeletal Services

Casting

61.5***

45.3

35.9*

29.1

Joint aspiration and injection

90.4

88.4

72.5

74.6

Musculoskeletal ultrasound

14.8

12.4

6.8

9.8

Miscellaneous Services/Procedures

Vasectomy

16.3

18.2

2.6

4.7

Cardiac stress test

35.6**

28.0

14.0

11.2

Osteopathic manipulative treatment

20.7*

15.3

13.6

11.5

Buprenorphine treatment

8.5

10.0

9.1

9.8

(Pharmacologic) HIV/AIDS management

20.7**

28.7

16.6

19.5

(Pharmacologic) hepatitis C management

24.8

27.1

24.9

21.9

End-of-life care

87.4*

82.6

75.9***

61.8

Behavioral health care

83.7

87.3

87.2

88.2

Integrative health care/CAM

24.1

24.7

18.5

19.5

Abbreviations: NGS: American Board of Family Medicine National Graduate Survey; IUD: intrauterine device; LARC: long-acting reversible contraception; D&C: dilation and curettage; CAM: complementary and alternative medicine. Bold values are significant at P=.05; *Significant at P<.05; **Significant at P<.01; ***Significant at P<.001. aThese questions are only asked of physicians providing inpatient care. Missing cases, residency preparedness: pediatric outpatient care, 42; newborn hospital care, 43; pediatric hospital care, 44; neonatal circumcision, 53; intensive care, 43; maternity care, 44; endometrial biopsy, 48; IUD insertion and removal, 47; implantable LARC, 47; colposcopy, 48; uterine aspiration/D&C, 67; pregnancy termination, 79; basic OB ultrasound, 48; casting, 53; joint aspiration and injection, 53; musculoskeletal ultrasound, 53; vasectomy, 53; cardiac stress test, 55; osteopathic manipulative treatment, 55; buprenorphine treatment, 56; (pharmacologic) HIV/AIDS management, 56; (pharmacologic) hepatitis C management, 56; end-of-life care, 43; behavioral health care, 44; integrative health care/CAM, 44. Missing cases, current practice: pediatric outpatient care, 133; newborn hospital care, 134; pediatric hospital care, 135; neonatal circumcision, 145; intensive care, 135; maternity care, 135; endometrial biopsy, 140; IUD insertion and removal, 140; implantable LARC, 141; colposcopy, 141; uterine aspiration/D&C, 174; pregnancy termination, 164; basic OB ultrasound, 141; casting, 145; joint aspiration and injection, 145; musculoskeletal ultrasound, 145; vasectomy, 145; cardiac stress test, 148; osteopathic manipulative treatment, 148; buprenorphine treatment, 148; (pharmacologic) HIV/AIDS management, 148; (pharmacologic) hepatitis C management, 148; end-of-life care, 135; behavioral health care, 135; integrative health care/CAM, 135.

We used an individual’s scaled score measuring overall SOP for primary care to compare rural vs urban-trained residents. Scores ranged from 0-30, with higher scores indicating a broader scope. The calculation of the overall scaled SOP score has been validated for use in analysis. 25 We analyzed each of the data sets (NGS and RECERT) separately to account for slight differences in each survey, scaling the scores to be approximately equivalent for comparison. 25 This resulted in 5,334 early-career and 37,233 later-career physicians included in overall SOP score analyses. The RECERT asked later-career physicians to indicate the procedures and services currently part of their practice (see Table 2 for complete list). They were not asked about residency preparation, and thus RECERT data was only used for creation of the overall SOP score.

Covariates

We controlled for the following demographic and background characteristics, when available, in each multivariate analysis: age (at time of questionnaire), gender (male/female), underrepresented-in-medicine (URM) status (Black/African American, American Indian/Alaska Native, or Native Hawaiian/Other Pacific Islander race, and Latino/Hispanic of any race, including multiracial individuals indicating any URM race or ethnicity), medical degree type (osteopathic/allopathic), international medical graduate (IMG) status (medical degree from United States or Canada vs another country), current practice location geography (rural or urban), practice in an underserved site (Rural Health Clinic [RHC], Federally Qualified Health Center [FQHC], or Indian Health Service [IHS] vs none), residency program census region, and delivery of both inpatient and continuity care (as opposed to only inpatient or only continuity care). The NGS did not ask race or ethnicity prior to 2018, and therefore we decided not to include URM status in early-career physician analyses as it would have greatly reduced our sample size. We categorized practice location ZIP codes of early- and later-career physicians using RUCA codes, defining RUCA codes 4 or higher as rural. 23

Data Analyses

Scope of Practice Analysis

We used t tests to compare individual scope items and overall SOP scores for those trained in rural vs urban residencies and multivariate linear regression to control for available covariates.

Residency Preparation and Current Practice Analysis

We used χ2 tests to compare rural and urban residency graduates on perceived preparedness for and current practice in 30 clinical areas and procedures as well as multivariate logistic regressions adjusting for available covariates. Current practice of each procedure was treated as a separate outcome, resulting in 30 separate multivariate logistic regressions. We converted all odds ratios to relative risks to account for the commonality of the outcomes in the study population (Table 2 andTable 3). 26

Table 3. Patterns of Early-Career Family Physicians’ Current Practice by Procedure, Illustrated Using Adjusted Relative Risks, NGS 2016-2018.

n

Rural Residency Program [REF: Urban]

95% CI

Perceived Residency Preparedness

95% CI

Rural Practice Location [REF: Urban]

95% CI

Care of Children

Pediatric outpatient care

6,062

0.96

(0.87-1.03)

1.13

(1.10-1.16)

1.12

(1.09-1.15)

Newborn hospital care

6,062

0.79

(0.59-1.04)

1.88

(1.61-2.16)

1.63

(1.47-1.80)

Pediatric hospital care

6,062

0.95

(0.71-1.26)

2.42

(2.12-2.71)

2.44

(2.22-2.66)

Neonatal circumcision

6,062

0.74

(0.52-1.03)

4.28

(3.74-4.71)

1.80

(1.59-2.03)

Hospital-Based Carea

Intensive care

6,062

1.40

(1.14-1.70)

2.25

(2.05-2.44)

1.44

(1.29-1.61)

Lumbar puncture

2,408

0.71

(0.50-0.98)

2.41

(2.26-2.54)

1.63

(1.45-1.81)

Intubation

2,408

0.85

(0.63-1.12)

2.07

(1.93-2.20)

2.11

(1.96-2.24)

Ventilator management

2,408

0.99

(0.71-1.31)

2.31

(2.15-2.45)

1.85

(1.65-2.04)

Central line placement

2,408

0.75

(0.52-1.05)

2.51

(2.32-2.70)

1.91

(1.68-2.13)

Thoracentesis

2,408

0.66

(0.43-0.99)

3.28

(3.01-3.52)

1.97

(1.69-2.28)

Women’s Health

Maternity care

6,062

0.76

(0.57-0.99)

2.30

(2.00-2.58)

1.45

(1.30-1.59)

Endometrial biopsy

6,062

1.10

(0.83-1.42)

3.30

(3.16-3.41)

1.28

(1.12-1.44)

IUD insertion and removal

6,062

0.78

(0.61-0.95)

2.06

(1.99-2.12)

1.15

(1.05-1.25)

Implantable LARC

6,062

0.78

(0.61-0.96)

2.17

(2.11-2.22)

1.16

(1.06-1.27)

Colposcopy

6,062

1.31

(0.93-1.81)

4.01

(3.58-4.43)

1.43

(1.21-1.67)

Uterine aspiration/D&C

6,016

0.69

(0.34-1.37)

11.00

(9.38-12.62)

2.55

(1.92-3.35)

Pregnancy termination

6,014

1.50

(0.66-3.28)

13.20

(10.42-16.19)

0.69

(0.42-1.11)

Basic OB ultrasound

6,062

0.96

(0.67-1.34)

2.96

(2.63-3.30)

1.66

(1.43-1.90)

Musculoskeletal Services

Casting

6,062

0.83

(0.66-1.03)

2.22

(2.12-2.32)

1.69

(1.56-1.82)

Joint aspiration and injection

6,062

0.89

(0.79-0.98)

1.28

(1.27-1.29)

1.15

(1.12-1.18)

Musculoskeletal ultrasound

6,062

0.61

(0.37-1.00)

5.21

(4.7-5.71)

1.13

(0.91-1.40)

Miscellaneous Services / Procedures

Vasectomy

6,062

0.60

(0.26-1.40)

12.57

(10.59-14.44)

1.18

(0.86-1.62)

Cardiac stress test

6,062

0.94

(0.65-1.33)

4.87

(4.45-5.28)

1.44

(1.19-1.72)

Osteopathic manipulative treatment

6,062

1.09

(0.66-1.73)

5.30

(4.79-5.79)

1.16

(0.90-1.49)

Buprenorphine treatment

6,062

1.16

(0.76-1.73)

4.86

(4.35-5.39)

0.85

(0.68-1.08)

HIV/AIDS management

6,062

1.09

(0.79-1.45)

3.63

(3.46-3.78)

0.83

(0.70-0.98)

Hepatitis C management

6,062

1.23

(0.94-1.56)

3.45

(3.32-3.56)

1.07

(0.93-1.23)

End of life care

6,062

1.14

(1.03-1.24)

1.34

(1.31-1.38)

1.31

(1.26-1.35)

Behavioral health care

6,062

0.99

(0.93-1.03)

1.09

(1.09-1.10)

1.05

(1.03-1.07)

Integrative health care/CAM

6,062

1.05

(0.76-1.40)

3.72

(3.56-3.87)

0.97

(0.82-1.14)

Models adjusted for: age, gender, medical degree type, international medical graduate, residency program census region, and practice of inpatient and continuity care. aThese questions are only asked of physicians providing inpatient care, except for intensive care. Abbreviations: NGS: American Board of Family Medicine National Graduate Survey; IUD: intrauterine device; LARC: long-acting reversible contraception; D&C: dilation and curettage; OB: obstetric; CAM: complementary and alternative medicine. Bold values are significant at P =.05.

We used Stata 16 (StataCorp, College Station, TX) for all analyses and report differences that were statistically significant at P<.05. The University of Washington Human Subjects Division deemed this study not human research and granted an exemption from formal review.

RESULTS

Perceived Residency Preparation for Current Practice

Of the 6,483 NGS survey respondents, 272 (4.2%) were trained in a rural residency (Table 1). Graduates attended 32 rural residencies (7% of all residency programs included in the NGS sample). The mean respondent age was 35.9 years; age differences between rural and urban residency graduates were not significant. Compared to urban-trained graduates, a higher percentage of rural residency graduates were male (49.6% to 43.2%; P<.05), international medical graduates (43.8% to 33.7%; P<.001), and currently practicing inpatient medicine (51.3% to 39.5%; P<.001). Just over half of rurally-trained physicians (51.0%) practiced in a rural location, compared to 16.6% of urban-trained physicians (P<.001). The majority of respondents from both groups attended residency programs in the Midwest and the South, although a larger proportion of rurally trained physicians attended programs in the South (45.2% to 32.3%; P<.001) and a smaller proportion in the West (12.9% to 22.8%; P<.001) compared to urban-trained graduates. There was no significant rural/urban difference in degree type: 16.7% of all respondents were osteopathic physicians.

Bivariate analyses showed that, compared with urban program graduates, rural residency graduates were more likely to report being prepared for all six types of hospital-based care queried (intensive care, pediatric care, lumbar puncture, ventilator management, intubation, and thoracentesis), casting, cardiac stress tests, pediatric hospital care, neonatal circumcision, osteopathic manipulative treatment, and end-of-life care. Rural residency graduates reported they were less prepared on two of eight measures of gynecologic care (endometrial biopsy and colposcopy) as well as pharmacologic HIV/AIDS management (Table 2 ). Some of these differences, including intensive care, intubation, thoracentesis, endometrial biopsy, colposcopy, casting, osteopathic manipulative treatment, HIV/AIDS management, and hepatitis C management, remained significant in multivariate models (not shown).

Self-reported Current Practice of Individual Scope of Practice Components

Table 2 also shows the bivariate distribution of self-reported current practice for the same areas and procedures. There were fewer significant differences between rural- and urban-trained physicians in self-reported current SOP than for residency preparation in these areas. A higher percentage of rural- than urban-trained physicians currently practiced pediatric hospital care (26.8% vs 19.1%; P<.01), intensive care (38.5% vs 21.9%; P<.001), intubation (50% vs 34.3%; P<.001), and ventilator management (41.9% vs 30.5%; P<.01), all rural/urban residency differences that were parallel to those for residency preparation. A higher percentage of urban residency graduates reported current practice of IUD insertion and removal and implantable birth control, differences not reported in residency preparation for these procedures.

In multivariate analyses (Table 3 ), perceived residency preparedness was a statistically significant predictor (P<.001) for currently practicing all subject areas and procedures, even when controlling for current practice location in addition to other relevant physician characteristics. The magnitude of the effect of residency preparedness on practice varied considerably across items. Physicians who felt prepared to perform pediatric outpatient care were slightly more likely (13%) than physicians who felt unprepared by their residencies to practice in this area, while prepared physicians were 13 times as likely as the unprepared to provide pregnancy termination (95% CI 10.4–16.2). Rurally-trained physicians were less likely than urban physicians to provide IUD insertion/removal (relative risk [RR]=0.78, 95% CI 0.61–0.95, P<.05) and implantable long-acting reversible contraception (RR=0.78, 95% CI 0.61–0.96, P<.05) but more likely to practice intensive care (RR=1.40,95% CI 1.14–1.70, P<.01) and end-of-life care (RR=1.14, 95% CI 1.03–1.24, P<.05).

Current practice in a rural location was also a significant predictor of practicing many procedures, even when controlling for preparation. These included all procedures in the categories of care of children, hospital-based care, and women’s health (excluding pregnancy termination).

Overall Scope of Practice Score

Early-career rural and urban program graduates scored 16.5 (95% CI 16.1–16.8) and 16.1 (95% CI 16.0–16.1, P<.05), respectively, on the overall scope measure, but this difference was not significant in an adjusted linear model. Practicing in a rural location (β=1.10, 95% CI 0.94–1.26, P<.001) was the strongest predictor of a higher score, while being older (β=-0.02, 95% CI -0.04–-0.01, P<.001) and an IMG (β=-0.78, 95% CI -0.92– -0.64, P<.001) were associated with lower SOP scores (Table 4 ).

Table 4. Linear Regression Results (β-Coefficients) for Overall Scope of Practice Score of Early and Later-Career Family Physicians, NGS and RECERT 2014 -2018 .

Early-Career FM Physicians

Later-Career FM Physicians

N=5,334

95% CI

N=37,233

95% CI

Average SOP Score 

16.1 

[16.0–16.8]

14.7 

[14.7–14.8]

Rural program [REF: urban]

0.07

[-0.37–0.24]

  0.32*

[0.11–0.54]

Rural practice location [REF: urban]

1.10

[0.94–1.26]

1.90

[1.81–1.99]

Female gender [REF: Male]

0.04

[-0.08–0.16]

–0.55

[-0.63– -0.48]

Age [linear]

–0.02

[-0.04– -0.01]

–0.03

[-0.03– -0.02]

MD degree [REF: DO]

0.13

[-0.29–0.04]

0.56

[0.44–0.68]

International medical graduate [REF: US/Canada]

–0.78

[-0.92–-0.64]

–1.52

[-1.61– -1.42]

URM [REF: non-URM]

n/a

–0.93

[-1.06– -0.80]

Practices inpatient + continuity care

2.82

[2.69–2.95]

n/a

Residency Program Census Region [REF=Northeast]

Midwest

0.51

[0.32–0.69]

0.54

[0.43–0.64]

South

0.002

[-0.18–0.18]

–0.51

[-0.62– -0.41]

West

0.97

[0.78–1.16]

  0.16*

[0.05–0.28]

Abbreviations: SOP: scope of practice; URM: underrepresented in medicine. Bold values are significant at P <.001 except where indicated; *later-career rural program P=.003; later-career residency program census region—West P=.006.

In contrast, later-career physicians from rural programs reported a significantly broader scope than urban program graduates, (15.7 vs 14.7, P<.001), respectively, and the difference remained significant in the adjusted linear model. Among later-career physicians, practicing in a rural location (β=1.90, 95% CI 1.81–1.99, P<.001), having an MD degree (β=0.56, 95% CI 0.44–0.68, P<.001), and attending a residency in the Midwest (β=0.54, 95% CI 0.43-0.64, P<.001) or West (β=0.16, 95% CI 0.05-0.28, P<.01) were significant predictors of a higher SOP score. Female (β=-0.55, 95% CI -0.63– -0.48, P<.001), older (β=-0.03, 95% CI -0.03– -0.02, P<.001), IMG (β=-1.52, 95% CI -1.61– -1.42, P<.001), and URM physicians (β=-0.93, 95% CI -1.06– -0.80, P<.001) were more likely to have lower SOP scores compared to their counterparts.

DISCUSSION

Our findings show that overall, proportionally more rurally-trained physicians felt prepared by their residency program to practice a wide range of procedures compared to their urban-trained counterparts. These findings suggest that rural family medicine residency programs may offer a broader scope of training than urban programs. Feeling prepared was the factor with the largest consistent association influencing current practice among our measures. However, when controlling for many factors, rural vs urban residency training did not explain the likelihood of currently practicing a specific procedure among early-career physicians. Perceived residency preparedness was the most significant predictor of current practice scope in our analyses, regardless of site of training. It is likely that the decision to provide specific services is a complex and nonlinear one, influenced by other variables unmeasured by these data.

We also observed no significant difference in overall SOP scores between rural- and urban-trained early-career physicians, when controlling for relevant factors. However, rurally-trained, later-career physicians reported a broader SOP than their urban program counterparts. Though we did not compare the two groups directly in our statistical analyses, we also found that later-career physicians in both urban and rural practice had a slightly narrower scope compared to early-career physicians. This is consistent with previous research showing the decline of practice scope with age, and further reinforces the influence of personal factors on SOP. 8, 11, 12 More research, including longitudinal studies, is needed to examine the role of residency training and other workforce, environmental, and population factors—the local health care economy, local workforce supply, health care regulations, experiences in practice, demands of practice, and continuing learning opportunities12—in SOP trends over a physician’s career.

Regardless of whether physicians had trained in rural or urban residencies, among both early- and later-career physicians, rural practice location was a significant predictor of a broader overall SOP. Rural physicians may need to maintain a broader SOP and develop specific skills over the course of their careers to meet rural community needs. 27, 28

These findings provide evidence for the value of current and future initiatives to strengthen and expand the availability of rural residency programs. Rurally-trained physicians, who are more likely to practice in rural areas over the course of their careers, 16 can be uniquely valuable to rural communities due to their broad scope of training and preparation to care for rural populations. 29 More can be done to increase rural training opportunities. The Accreditation Council for Graduate Medical Education is making efforts to support programs in rural and underserved settings, where constraints and contextual factors differ from those faced by large urban programs. 30 A more equitable distribution of funding and other resources across rural and urban academic settings would also help support rural residency programs. 12, 29

Study limitations include biases associated with self-reported information collected via survey. We do not know if this would cause people to over- or underreport the content of their practice or their sense of preparedness. Those who enter rural programs may be more tolerant of risk and thus feel better prepared to manage the uncertainty inherent in rural generalist practice. The survey items available for analysis ask about “maternity care” and “OB ultrasound” but do not specifically ask about other aspects of obstetric care, large components of traditional family medicine scope of practice. Although we use the early- and later-career data sets, they are separate cohorts and therefore we cannot match longitudinally or compare directly. The data do not include physicians, particularly osteopathic, who did not seek ABFM certification. Unmeasured differences may exist between rural and urban programs as well as their residents and graduates. Survey respondents may not be representative of the population of all practicing family physicians. The majority of our sample attended residencies in the Midwest and South, which is reflective of the location of most rural residencies in the United States, 31 although it does further limit sample representativeness with respect to the West and Northeast regions. While our results show that feeling prepared by residency means a family physician is more likely to report practicing a skill or procedure, it was beyond the scope of this study to examine how well they are performing, and how performance relates to objective ratings of quality of care and patient satisfaction. Further studies are needed to investigate the connection between residency preparedness, scope of practice, and quality of care.

In conclusion, rural vs urban training predicted perceived preparation for some aspects of practice, but it did not predict SOP for early-career physicians. However, physicians who felt prepared for practice following either rural or urban residency training and who also chose rural practice provided a broader SOP than physicians practicing in urban locations. The difference in self-reported SOP between rural and urban program graduates was significant among later-career rural program graduates even though their overall SOP score was lower. Given that rurally-trained physicians are more likely to choose rural practice, this study’s findings provide further evidence for the value of rural residency education in meeting the needs of rural communities.

Financial Support

This research was supported by the Bureau of Health Workforce (BHW), Health Resources and Services Administration (HRSA), U.S. Department of Health and Human Services (HHS) under cooperative agreement #UH1HP29966.  The information, conclusions and opinions expressed in this presentation are those of the authors and no endorsement by BHW, HRSA, or HHS is intended or should be inferred.

Presentations

This study was presented at the following meetings:

• The RTT Collaborative Annual Meeting, April 2021.

• AAMC 2021 Group on Diversity and Inclusion & Health Workforce Research Joint Virtual Conference, May 2021.

• 2022 AAMC Virtual Health Workforce Research Conference, May 2022.

• Academy Health Annual Research Meeting, June 2022.

References

  • 1.Russell D J, Wilkinson E, Petterson S, Chen C, Bazemore A. Family Medicine Residencies: How Rural Training Exposure in GME Is Associated With Subsequent Rural Practice. J Grad Med Educ. 2022;14(4):441–450. doi: 10.4300/JGME-D-21-01143.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Phillips W R, Haynes D G. The domain of family practice: scope, role, and function. Fam Med. 2001;33(4):273–277. [PubMed] [Google Scholar]
  • 3.Eden A R, Morgan Z J, Jetty A, Peterson L E. Proportion of family physicians caring for children is declining. J Am Board Fam Med. 2020;33(6):830–831. doi: 10.3122/jabfm.2020.06.200089. [DOI] [PubMed] [Google Scholar]
  • 4.Jetty A, Jabbarpour Y, Petterson S, Eden A, Bazemore A. The declining presence of family physicians in hospital-based care. J Am Board Fam Med. 2019;32(6):771–772. doi: 10.3122/jabfm.2019.06.190152. [DOI] [PubMed] [Google Scholar]
  • 5.Barreto T, Peterson L E, Petterson S, Bazemore A W. Family physicians practicing high-volume obstetric care have recently dropped by one-half. Am Fam Physician. 2017;95(12):762–762. [PubMed] [Google Scholar]
  • 6.Tong S T, Makaroff L A, Xierali I M, Puffer J C, Newton W P, Bazemore A W. Family physicians in the maternity care workforce: factors influencing declining trends. Matern Child Health J. 2013;17(9):1576–1581. doi: 10.1007/s10995-012-1159-8. [DOI] [PubMed] [Google Scholar]
  • 7.Peterson L E, Nasim U, Madabhushi V. Declining endoscopic care by family physicians in both rural and urban areas. J Am Board Fam Med. 2019;32(4):460–461. doi: 10.3122/jabfm.2019.04.190064. [DOI] [PubMed] [Google Scholar]
  • 8.Coutinho A J, Cochrane A, Stelter K, Phillips R L, Peterson L E. Comparison of intended scope of practice for family medicine residents with reported scope of practice among practicing family physicians. JAMA. 2015;314(22):2364–2372. doi: 10.1001/jama.2015.13734. [DOI] [PubMed] [Google Scholar]
  • 9.Peterson L E, Fang B, Puffer J C, Bazemore A W. Wide gap between preparation and scope of practice of early career family physicians. J Am Board Fam Med. 2018;31(2):181–182. doi: 10.3122/jabfm.2018.02.170359. [DOI] [PubMed] [Google Scholar]
  • 10.Barreto T W, Eden A R, Petterson S, Bazemore A W, Peterson L E. Intention Versus Reality: Family Medicine Residency Graduates’ Intention to Practice Obstetrics. J Am Board Fam Med. 2017;30(4):405–406. doi: 10.3122/jabfm.2017.04.170120. [DOI] [PubMed] [Google Scholar]
  • 11.Reitz R, Horst K, Davenport M, Klemmetsen S, Clark M. Factors Influencing Family Physician Scope of Practice: A Grounded Theory Study. Fam Med. 2018;50(4):269–274. doi: 10.22454/FamMed.2018.602663. [DOI] [PubMed] [Google Scholar]
  • 12.Russell A, Fromewick J, Macdonald B. Drivers of Scope of Practice in Family Medicine: A Conceptual Model. Ann Fam Med. 2021;19(3):217–223. doi: 10.1370/afm.2669. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Coutinho A J, Levin Z, Petterson S, Phillips R L, Peterson L E. Residency program characteristics and individual physician practice characteristics associated with family physician scope of practice. Acad Med. 2019;94(10):1561–1566. doi: 10.1097/ACM.0000000000002838. [DOI] [PubMed] [Google Scholar]
  • 14.Longenecker R. Rural medical education programs: a proposed nomenclature. J Grad Med Educ. 2017;9(3):283–286. doi: 10.4300/JGME-D-16-00550.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Evans D V, Patterson D G, Andrilla C H, Schmitz D, Longenecker R. Do residencies that aim to produce rural family physicians offer relevant training. Fam Med. 2016;48(8):596–602. [PubMed] [Google Scholar]
  • 16.Meyers P, Wilkinson E, Petterson S. Rural workforce years: quantifying the rural workforce contribution of family medicine residency program graduates. J Grad Med Educ. 2020;12(6):717–726. doi: 10.4300/JGME-D-20-00122.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Patterson D G, Schmitz D, Longenecker R L. Family Medicine Rural Training Track Residencies: risks and Resilience. Fam Med. 2019;51(8) doi: 10.22454/FamMed.2019.769343. [DOI] [PubMed] [Google Scholar]
  • 18.Peterson L E, Blackburn B, Peabody M, Neill O, T R. Family physicians’ scope of practice and American Board of Family Medicine recertification examination performance. J Am Board Fam Med. 2015;28(2):265–270. doi: 10.3122/jabfm.2015.02.140202. [DOI] [PubMed] [Google Scholar]
  • 19.Peterson L E, Fang B. Rural family physicians have a broader scope of practice than urban family physicians. Rural and Underserved Health Research Center. 2018
  • 20.Weidner Akh, Chen F M, Peterson L E. Developing the National Family Medicine Graduate Survey. J Grad Med Educ. 2017;9(5):570–573. doi: 10.4300/JGME-D-17-00007.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Peterson L E. Using the Family Medicine National Graduate Survey to Improve Residency Education by Monitoring Training Outcomes. Fam Med. 2021;53(7):622–625. doi: 10.22454/FamMed.2021.719992. [DOI] [PubMed] [Google Scholar]
  • 22.Peterson L E, Fang B, Phillips R L, Avant R, Puffer J C. The American Board of Family Medicine’s data collection method for tracking their specialty. J Am Board Fam Med. 2019;32(1):89–95. doi: 10.3122/jabfm.2019.01.180138. [DOI] [PubMed] [Google Scholar]
  • 23.US Department of Agriculture Economic Research Service Rural-Urban Commuting Area Codes. 2010. https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes/ https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes/
  • 24.Longenecker R L, Andrilla Cha, Jopson A D, Evans D V, Schmitz D, Larson E H, Patterson D G. Pipelines to pathways: medical school commitment to producing a rural workforce. J Rural Health. 2020 doi: 10.1111/jrh.12542. [DOI] [PubMed] [Google Scholar]
  • 25.O’Neill T, Peabody M R, Blackburn B E, Peterson L E. Creating the Individual Scope of Practice (I-SOP) scale. J Appl Meas. 2014;15(3):227–239. [PubMed] [Google Scholar]
  • 26.Zhang J, Yu K F. What’s the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes. JAMA. 1998;280(19):1690–1691. doi: 10.1001/jama.280.19.1690. [DOI] [PubMed] [Google Scholar]
  • 27.Cutrer W B, Miller B, Pusic M V. Fostering the Development of Master Adaptive Learners: A Conceptual Model to Guide Skill Acquisition in Medical Education. Acad Med. 2017;92(1):70–75. doi: 10.1097/ACM.0000000000001323. [DOI] [PubMed] [Google Scholar]
  • 28.Schmitz D. The Role of Rural Graduate Medical Education in Improving Rural Health and Health Care. Fam Med. 2021;53(7):540–543. doi: 10.22454/FamMed.2021.792533. [DOI] [PubMed] [Google Scholar]
  • 29.Hawes E M, Fraher E, Crane S. Rural Residency Training as a Strategy to Address Rural Health Disparities: Barriers to Expansion and Possible Solutions. J Grad Med Educ. 2021;13(4):461–465. doi: 10.4300/JGME-D-21-00274.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Medically Underserved Areas and Populations. Accreditation Council for Graduate Medical Education. Accessed. 2022 [Google Scholar]
  • 31.US Government Accountability Office PHYSICIAN WORKFORCE: Locations and Types of Graduate Training Were Largely Unchanged, and Federal Efforts May Not Be Sufficient to Meet Needs. 2017. https://www.gao.gov/products/gao-17-411 https://www.gao.gov/products/gao-17-411

Articles from Family Medicine are provided here courtesy of Society of Teachers of Family Medicine

RESOURCES