| Literature DB >> 34909550 |
Juan Robles1, Rubayat Qadeer2, Tara Reyes Adames1, Zoon Naqvi1.
Abstract
Purpose: Underrepresentation of racial and ethnic minorities in the health care workforce is a local and national issue. We describe and report on outcomes of a longitudinal service-driven prehealth pathway program in a low-income community intended to address this disparity and increase health equity.Entities:
Keywords: mentorship; prehealth; socioeconomically disadvantaged; underrepresented minority
Year: 2021 PMID: 34909550 PMCID: PMC8665783 DOI: 10.1089/heq.2021.0065
Source DB: PubMed Journal: Health Equity ISSN: 2473-1242
Program Design and Activities
| Design element | Activities |
|---|---|
| Design pillars | Longitudinal near-peer mentorship |
| Target population | Socioeconomically disadvantaged and underrepresented minority students in college or graduated from college, age 18 and older |
| Recruitment and outreach | Program's website ( |
| Admissions | Online application, rolling and year-round |
| Selection criteria | Demonstrates strong interest in community service |
| Membership expectations | Volunteer 2 h per week |
| Organizational structure | 4 program coordinators (6-month nonpaid commitment) |
| Meetings and frequency | Weekly 1-h coordinator meeting |
| Resources and cost and source of funding | Existing materials, equipment, and resources at the health center |
| Program's motto | “It takes a village to raise a healthcare professional” |
| Community Service | Support patient care (e.g., patient navigation) and clerical tasks |
| Professional and leadership development | Attend presentations addressing social determinants of health or learn about health care professions from invited speakers |
| Peer support and mentorship | Attend weekly meetings that allow for near-peer mentoring and networking; students are assigned a peer-buddy |
| Career advising and support | Career advice and support completing the application to health professional programs including mock interviews |
Profile of Students Who Participated in the Program at Least 3 Months (2014–2020) (N=64)
| Membership | Category[ | Currently enrolled (%) | Graduate (%) | Associate (%) | Total (%) |
|---|---|---|---|---|---|
| Enrollment status | 45 | 50 | 73 | 168 | |
| Survey respondents | 31 (69) | 26 (52) | 7 (10) | 64 (38) | |
| Demographic profile when entered program | |||||
| Gender | Female | 20 (65) | 17 (65) | 5 (71) | 42 (66) |
| Male | 11 (35) | 8 (31) | 0 | 19 (30) | |
| Member of the LGBTQ+ community | 0 | 0 | 1 (14) | 1 (2) | |
| Age range | 18–25 | 22 (71) | 9 (35) | 2 (29) | 33 (52) |
| 26–30 | 8 (26) | 14 (54) | 3 (43) | 25 (39) | |
| >30 | 1 (3) | 2 (8) | 1 (14) | 4 (6) | |
| Race/ethnicity | Black or African American | 9 (29) | 7 (27) | 2 (29) | 18 (28) |
| Latinx | 13 (42) | 10 (38) | 3 (43) | 26 (41) | |
| Asian[ | 5 (16) | 4 (15) | 2 (29) | 11 (17) | |
| White | 1 (3) | 3 (12) | 0 | 4 (6) | |
| Multiple race/ethnicity | 3 (10) | 1 (4) | 0 | 4 (6) | |
| Financial/employment profile when entered program | |||||
| Household income | <$24,999 | 1 (3) | 6 (23) | 1 (14) | 8 (13) |
| $25,000–49,999 | 16 (52) | 8 (31) | 2 (29) | 26 (41) | |
| $50,000–99,999 | 7 (23) | 6 (23) | 0 | 13 (20) | |
| >$100,000 | 1 (3) | 2 (8) | 0 | 3 (5) | |
| Don't know | 2 (6) | 0 | 0 | 2 (3) | |
| Individual income | <$24,999 | 22 (71) | 16 | 4 | 42 (66) |
| $25,000–49,999 | 3 (10) | 2 (8) | 2 (29) | 7 (11) | |
| $50,000–99,999 | 1 (3) | 1 (4) | 0 | 2 (3) | |
| >$100,000 | 0 | 0 | 0 | 0 | |
| Don't know | 2 (6) | 0 | 0 | 2 (3) | |
| Employment status | Full-time student, not working | 3 (10) | 6 (23) | 0 | 9 (14) |
| Full-time student, working part-time, <40 h/week | 12 (39) | 5 (19) | 2 (29) | 19 (30) | |
| Full-time student, working full-time, 40+ h/week | 4 (13) | 1 (4) | 0 | 5 (8) | |
| Part-time student, working part-time, <40 h/week | 1 (3) | 5 (19) | 0 | 6 (9) | |
| Part-time student, working full-time, 40+ h/week | 3 (10) | 0 | 1 (14) | 4 (6) | |
| Not in school and not working | 2 (6) | 0 | 0 | 2 (3) | |
| Not in school, working part-time, <40 h/week | 2 (6) | 3 (12) | 0 | 5 (8) | |
| Not in school, working full-time, 40+ h/week | 3 (10) | 4 (15) | 3 (43) | 10 (16) | |
| Not in school and not working—currently looking for work | 1 (3) | 0 | 0 | 1 (2) | |
| Other | 0 | 1 (4) | 0 | 1 (2) | |
| Educational profile when entered program | |||||
| Highest degree attained or enrolled | Associate | 1 (3) | 0 | 0 | 1 (2) |
| Bachelor's | 26 (84) | 23 (88) | 4 (57) | 53 (83) | |
| Master's | 2 (6) | 2 (8) | 1 (14) | 5 (8) | |
| Other | 2 (6) | 0 | 1 (14) | 3 (5) | |
| Type of college | Public city | 18 (58) | 7 (27) | 3 (43) | 28 (44) |
| Public state | 3 (10) | 1 (4) | 1 (14) | 5 (8) | |
| Private liberal arts college (non-Ivy league) | 9 (29) | 11 | 2 (29) | 22 (34) | |
| Ivy league | 0 | 6 | 0 | 6 (9) | |
| Other | 1 (3) | 0 | 0 | 1 (2) | |
| Science GPA | <3.0 | 6 (19) | 7 (27) | 1 (14) | 14 (22) |
| 3.0–3.5 | 12 (39) | 11 | 3 (43) | 26 (40) | |
| >3.5 | 6 (19) | 5 | 2 (29) | 13 (20) | |
| I don't know | 2 (6) | 1 (4) | 0 | 3 (5) | |
| MCAT score ( | <500 | 2 (11) | 1 (5) | 0 | 3 (16) |
| 500–505 | 4 (21) | 1 (5) | 2 (11) | 7 (37) | |
| 506–510 | 1 (5) | 7 (27) | 0 | 8 (42) | |
| >510 | 0 | 1 (5) | 0 | 1 (5) | |
| Prehealth journey and needs when entered program | |||||
| Intended health care professional program | MD | 28 (90) | 20 (77) | 5 (71) | 53 (83) |
| Physician assistant | 5 (16) | 2 (8) | 0 | 7 (11) | |
| Nursing | 1 (3) | 1 (4) | 0 | 2 (3) | |
| Other health care careers | 4 (13) | 2 (8) | 0 | 6 (9) | |
| Other nonhealth care careers | 1 (3) | 2 (8) | 0 | 3 (5) | |
| Gaps in education |
| 28 (90) | 22 (85) | 6 (86) | 56 (88) |
| Top reasons to take gap year (s) |
| 21 (68) | 16 (62) | 2 (29) | 39 (61) |
|
| 19 (61) | 13 (50) | 4 (57) | 36 (56) | |
|
| 7 (23) | 7 (27) | 3 (43) | 17 (27) | |
|
| 9 (29) | 9 (35) | 5 (71) | 23 (36) | |
|
| 3 (10) | 4 (15) | 3 (43) | 10 (16) | |
|
| 3 (10) | 2 (8) | 0 | 5 (8) | |
|
| 14 (45) | 13 (50) | 3 (43) | 30 (47) | |
|
| 2 (6) | 5 (19) | 0 | 7 (11) | |
| Prehealth activities before entered program | 18 (58) | 12 (46) | 2 (29) | 32 (50) | |
|
| 15 (48) | 18 (69) | 6 (86) | 39 (61) | |
|
| 13 (42) | 11 (42) | 3 (43) | 27 (42) | |
| 20 (65) | 12 (46) | 4 (57) | 36 (56) | ||
| Motivations to enter BxCHL program |
| 26 (84) | 23 (88) | 5 (71) | 54 (84) |
|
| 23 (74) | 18 (69) | 5 (71) | 46 (72) | |
|
| 6 (19) | 2 (8) | 4 (57) | 12 (19) | |
|
| 20 (65) | 11 (42) | 4 (57) | 35 (55) | |
|
| 23 (74) | 12 (46) | 4 (57) | 39 (61) | |
|
| 1 (3) | 2 (8) | 1 (14) | 4 (6) | |
| Other educational and socioeconomically disadvantaged measures | |||||
| Educational barriers |
| 24 (77) | 16 (62) | 4 (57) | 44 (69) |
|
| 19 (61) | 15 (58) | 4 (57) | 38 (59) | |
|
| 15 (48) | 7 (27) | 3 (43) | 25 (39) | |
|
| 16 (52) | 11 (42) | 4 (57) | 31 (48) | |
|
| 14 (45) | 7 (27) | 3 (43) | 24 (38) | |
|
| 8 (26) | 4 (15) | 2 (29) | 14 (22) | |
|
| 4 (13) | 1 (4) | 0 | 5 (8) | |
|
| 0 | 5 (19) | 0 | 5 (8) | |
| Challenges faced in the last 12 months before COVID-19 pandemic |
| 10 (32) | 2 (8) | 0 | 12 (19) |
|
| 16 (52) | 9 (35) | 4 (57) | 29 (45) | |
|
| 17 (55) | 4 (15) | 3 (43) | 24 (38) | |
|
| 19 (61) | 9 (35) | 5 (71) | 33 (52) | |
Definitions: Graduate—students who persisted and participated in the application process to enter professional health career programs while still in the program. Associate—students who transitioned through the program (were enrolled at least 3 months), and were not participating in the application process to enter professional health career programs when they left the program.
Mostly from Southeast Asia.
BxCHL, Bronx Community Health Leaders.
Health Care Professional Program Applicants and Matriculates by Application Cycles 2014–2015 Through 2019–2020
| Application year cycle | Medical school applicants (graduate and associate) | Other health care professional programs | Total | |||
|---|---|---|---|---|---|---|
| Applicant cohort (n) | Direct acceptance | Conditional acceptance[ | Direct acceptance rate to USA MD/DO (overall)[ | |||
| 2014–2015 | 1 | 1 (USA-MD) | — | 100% | — | 1 |
| 2015–2016 | 3 | 3 (USA-MD) | — | 100% | — | 3 |
| 2016–2017 | 13 | 8 (USA-MD) | 2 (USAMD) | 62% (92%) | 1 (PA) | 15 |
| 2017–2018 | 12 | 7 (USA-MD) | 1 (USAMD) | 67% (92%) | 3 (Nursing) | 16 |
| 2018–2019 | 12 | 2 (USA-MD) | 4 (USA-MD) | 25% (83%) | 2 (PA) | 20 |
| 2019–2020 | 15 | 9 (USA-MD) | 2 (USA-MD) | 67% (80%) | 1 (RT) | 21 |
| Total | 56 | 39 | 15 | 59% (86%) | 22 | 76 |
Includes postbaccalaureate programs that lead to medical school enrollment.
In parenthesis: Includes direct+conditional acceptance.
MS, master of science; PA, physician assistant; RT, respiratory therapist; USA-DO, US osteopathic school; USA-MD, US allopathic school.
Career Advancement, Length of Program Participation by Student Category
| Career advancement | Category | |||
|---|---|---|---|---|
| Currently enrolled (N=45) | Graduate (N=50) | Associate (N=73) | Combined (N=168) | |
| Direct acceptance US allopathic school | — | 25 | 5 | 30 |
| Direct acceptance US osteopathic school | — | 2 | 1 | 3 |
| Conditional acceptance US allopathic school | — | 6 | 2 | 8 |
| Conditional acceptance US osteopathic school | 5 | 2 | 7 | |
| Direct acceptance Caribbean medical school | — | 2 | 4 | 6 |
| Nursing | — | 3 | 6 | 9 |
| Physician assistant | — | 1 | 3 | 4 |
| Masters in sciences | 3 | 2 | 5 | |
| Masters in nutrition | — | 2 | 0 | 2 |
| Other health care-related programs (e.g., optometry, respiratory therapy) | — | 1 | 1 | 1 |
| Still on prehealth path | 44 | — | 20 | 64 |
| Switched to non-prehealth path | 1 | — | 5 | 6 |
| Unable to contact | — | — | 22 | 22 |
| Length of program participation | ||||
| 3–6 months | 13 | 2 | 25 | 40 |
| 7–12 months | 10 | 12 | 19 | 41 |
| >1–2 years | 14 | 20 | 13 | 47 |
| >2 years | 8 | 16 | 16 | 40 |