| Literature DB >> 33158441 |
Joseph A Pereira1, Kari Hannibal1, Jasmine Stecker1, Jennifer Kasper2, Jeffrey N Katz3, Rose L Molina4.
Abstract
BACKGROUND: Despite the growing number of patients with limited English proficiency in the United States, not all medical schools offer medical language courses to train future physicians in practicing language-concordant care. Little is known about the long-term use of non-English languages among physicians who took language courses in medical school. We conducted a cross-sectional study to characterize the professional language use of Harvard Medical School (HMS) alumni who took a medical language course at HMS and identify opportunities to improve the HMS Medical Language Program.Entities:
Keywords: Language-concordant care; Medical Haitian creole; Medical Portuguese; Medical Spanish; Medical language education; Medical mandarin
Mesh:
Year: 2020 PMID: 33158441 PMCID: PMC7648424 DOI: 10.1186/s12909-020-02323-x
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Demographics of Alumni of Harvard Medical School’s Medical Language Program (N = 206, n (%))
| Demographic Information | |
|---|---|
| 25–34 | 80 (39) |
| 35–44 | 72 (35) |
| 45–54 | 51 (25) |
| 55–64 | 3 (1) |
| Female | 137 (67) |
| Male | 69 (33) |
| Clinician | 190 (92) |
| Research Investigator | 51 (25) |
| Medical Educator | 34 (17) |
| Other | 10 (5) |
| White | 110 (53) |
| Asian | 71 (34) |
| Black or African American | 19 (9) |
| Hispanic, Latinx, or Spanish origin | 13 (6) |
| Otherb | 11 (5) |
| English | 202 (98) |
| Mandarin | 18 (9) |
| Spanish | 7 (3) |
| Polish | 4 (2) |
| French | 3 (1) |
| German | 3 (1) |
| Portuguese | 1 (0.5) |
| Otherc | 25 (12) |
aMultiple responses were possible for these items
bThe racial/ethnic groups “American Indian or Alaska Native,” “Arawak Indian of the Caribbean,” “Jewish,” “European,” “Middle Eastern,” “Pakistani/South Asian,” and “Persian” were each selected by one participant (0.5%). Two participants (1%) selected “Other” but did not disclose the group they identified most with. Two participants (1%) selected “Native Hawaiian or Other Pacific Islander.”
cAfrikaans, Hebrew, Arabic, Bengali, Cantonese, Czech, Hungarian, Korean, Teochew Chinese, Urdu and Yoruba were each selected as the primary/native languages of one participant (0.5%). Hindi, Russian, and Japanese were each selected by two (1%) participants each
Language Courses Taken by Alumni of Harvard Medical School’s Medical Language Program (N = 206, n (%))
| Medical Language Course Information | ||||
|---|---|---|---|---|
| Spanish | 177 (86) | |||
| Mandarin | 18 (9) | |||
| Portuguese | 8 (4) | |||
| Haitian Creole | 3 (1) | |||
| Intensive (month-long) language course | 107 (52) | |||
| Clinical elective abroad | 94 (46) | |||
| Longitudinal (semester-long) language course | 66 (32) | |||
| Unsure or other | 9 (4) | |||
| Language Course | White ( | Hispanic, Latinx, or Spanish Origin ( | Black or African American ( | Asian ( |
| Spanish | 105 (95) | 11 (85) | 18 (95) | 53 (75) |
| Mandarin | 1 (1) | 0 (0) | 0 (0) | 17 (24) |
| Portuguese | 3 (3) | 2 (15) | 1 (5) | 0 (0) |
| Haitian Creole | 1 (1) | 0 (0) | 0 (0) | 1 (1) |
| Learned the language from formal classes in school | 113 (55) | |||
| Beginner student or no prior experience | 64 (31) | |||
| Lived/worked in a country where the target language was spoken | 49 (24) | |||
| Learned the language from formal classes outside of school | 37 (18) | |||
| Learned the language with family | 24 (12) | |||
| Traveled to a country speaking the target language | 2 (1) | |||
| Learned the language from friends | 1 (0.5) | |||
aMultiple responses were possible for these items
Self-Reported Oral Language Proficiency and Expectation to Work with Individuals Speaking the Target Language Among Alumni of Harvard Medical School’s Medical Language Program (N = 206, n (%))
| Self-reported oral language proficiency | ||||||
|---|---|---|---|---|---|---|
| No practical proficiency | 51 (25) | 3 (1) | ||||
| Elementary proficiency | 54 (26) | 31 (15) | ||||
| Limited working proficiency | 62 (30) | 80 (39) | ||||
| Minimum proficiency | 27 (13) | 53 (26) | ||||
| Full proficiency | 6 (3) | 32 (16) | ||||
| Native or bilingual proficiency | 6 (3) | 7 (3) | ||||
| Number of respondents who changed from | 28 (14) | |||||
| Number of respondents who changed from | 1 (0.5) | |||||
| Longitudinal (semester-long) language course ( | Intensive (month-long) language course ( | Clinical elective abroad ( | ||||
| No practical proficiency | 8 (12) | 1 (2) | 39 (36) | 2 (2) | 20 (21) | 0 (0) |
| Elementary proficiency | 14 (21) | 11 (17) | 33 (31) | 18 (17) | 22 (23) | 3 (3) |
| Limited working proficiency | 26 (39) | 20 (30) | 29 (27) | 51 (48) | 34 (36) | 39 (41) |
| Minimum proficiency | 15 (23) | 22 (33) | 5 (5) | 22 (21) | 9 (10) | 27 (29) |
| Full proficiency | 2 (3) | 12 (18) | 1 (1) | 13 (12) | 4 (4) | 18 (19) |
| Native or bilingual proficiency | 1 (2) | 0 (0) | 0 (0) | 1 (1) | 5 (5) | 7 (7) |
| Never | 11 (5) | 1 (0.5) | ||||
| Occasionally | 106 (51) | 83 (40) | ||||
| Frequently | 77 (37) | 105 (51) | ||||
| All the time | 12 (6) | 17 (8) | ||||
| Number of respondents who changed from | 45 (22) | |||||
| Number of respondents who changed from | 12 (6) | |||||
aMcNemar’s test for comparing proportions with paired data
bProficient defined as “full” or “native or bilingual” proficiency
cHigh expectation defined as “frequently” or “all the time”
Use of non-English Languages in Current Professional Setting Among Alumni of Harvard Medical School’s Medical Language Program (N = 206, n (%))
| Medical Language Use in Current Professional Setting | |
|---|---|
| 0 | 44 (21) |
| > 0 but < 1 | 90 (44) |
| 1–5 | 49 (24) |
| 6–10 | 13 (6) |
| 11–20 | 6 (3) |
| 21–40 | 2 (1) |
| 41+ | 2 (1) |
| 0 | 54 (26) |
| 1–5 | 112 (54) |
| 6–20 | 32 (16) |
| 20+ | 8 (4) |
| 0 | 7 (4) |
| > 0 but ≤10 | 80 (49) |
| 11–25 | 36 (22) |
| 26–50 | 30 (18) |
| 51–75 | 7 (4) |
| 75–100 | 3 (2) |
| Patients | 144 (70) |
| Patient’s family members | 119 (58) |
| Colleagues or employees | 21 (10) |
| Community Members | 1 (0.5) |
| Formal assessment taken | 27 (13) |
| Assessment required | 20 (74) |
aMultiple responses were possible for these items
bThe N is less than 206 (total respondents) because this question was open-ended and not all respondents responded
Motivation for Taking the Language Course and Influence on Career Trajectory
| Motivation for Taking the Language Course(s) | |
|---|---|
| Not at all motivated | 4 (2) |
| Slightly motivated | 7 (3) |
| Moderately motivated | 29 (14) |
| Motivated | 48 (23) |
| Substantially motivated | 118 (57) |
| Not at all motivated | 15 (7) |
| Slightly motivated | 33 (16) |
| Moderately motivated | 50 (24) |
| Motivated | 47 (23) |
| Substantially motivated | 61 (30) |
| Not at all motivated | 13 (6) |
| Slightly motivated | 33 (16) |
| Moderately motivated | 52 (25) |
| Motivated | 52 (25) |
| Substantially motivated | 56 (27) |
| Not at all motivated | 108 (52) |
| Slightly motivated | 29 (14) |
| Moderately motivated | 31 (15) |
| Motivated | 14 (7) |
| Substantially motivated | 24 (12) |
| | |
| Not at all helpful | 6 (3) |
| Slightly helpful | 19 (9) |
| Moderately helpful | 46 (22) |
| Helpful | 59 (29) |
| Substantially helpful | 76 (37) |
| | |
| Not at all helpful | 13 (6) |
| Slightly helpful | 42 (20) |
| Moderately helpful | 52 (25) |
| Helpful | 55 (27) |
| Substantially helpful | 44 (21) |
| | |
| Not at all helpful | 14 (7) |
| Slightly helpful | 25 (12) |
| Moderately helpful | 59 (29) |
| Helpful | 59 (29) |
| Substantially helpful | 49 (24) |
| Not at all influential | 46 (22) |
| Slightly influential | 32 (16) |
| Moderately influential | 49 (24) |
| Influential | 47 (23) |
| Substantially influential | 32 (16) |
| | |
| Not at all improved | 0 (0) |
| Slightly improved | 1 (1) |
| Moderately improved | 3 (3) |
| Improved | 32 (28) |
| Substantially improved | 77 (68) |
| | |
| Not at all improved | 0 (0) |
| Slightly improved | 5 (4) |
| Moderately improved | 15 (13) |
| Improved | 27 (24) |
| Substantially improved | 66 (58) |