| Literature DB >> 31842879 |
Ann George1, Duane Blaauw2, Jarred Thompson3, Lionel Green-Thompson4.
Abstract
BACKGROUND: Doctor emigration from low- and middle-income countries represents a financial loss and threatens the equitable delivery of healthcare. In response to government imperatives to produce more health professionals to meet the country's needs, South African medical schools increased their student intake and changed their selection criteria, but little is known about the impact of these changes. This paper reports on the retention and distribution of doctors who graduated from the University of the Witwatersrand, South Africa (SA), between 2007 and 2011.Entities:
Year: 2019 PMID: 31842879 PMCID: PMC6916458 DOI: 10.1186/s12960-019-0439-4
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Fig. 1Tracking and survey results for 987 surviving graduates (2007–2011)
Respondents by graduating year (2007–2011)
| Year | Graduate cohort | Respondents | Percentage |
|---|---|---|---|
| 2007 | 174 | 75 | 43.1 |
| 2008 | 189 | 100 | 52.9 |
| 2009 | 194 | 93 | 47.9 |
| 2010 | 223 | 102 | 46.2 |
| 2011 | 208 | 127 | 61.1 |
| Total | 988 | 497 |
Demographics for the 497 respondents
| Variable | Number of respondents | Percentage of respondents | Percentage of graduate cohort |
|---|---|---|---|
| Gender | |||
| Female | 305 | 61.4 | 60.5 |
| Male | 192 | 38.6 | 39.3 |
| Population group | |||
| Black | 127 | 25.6 | 32.3 |
| Coloured | 12 | 2.4 | 2.3 |
| Indian | 116 | 23.3 | 26.2 |
| White | 237 | 47.6 | 39.0 |
| Other | 5 | 1.0 | 0.2 |
| Background | |||
| Urban | 411 | 82.7 | 80.9 |
| Rural | 86 | 17.3 | 11.4 |
| Unknown | 7.8 | ||
Internship and community service locations for 493 respondents
| Level of hospital | Internship | % | Community service | % |
|---|---|---|---|---|
| Level 1 (district hospital) | 16 | 3.2 | 177 | 36.8 |
| Level 2 (regional hospital) | 105 | 21.5 | 123 | 25.4 |
| Level 3 (tertiary/ central hospital) | 370 | 75.1 | 156 | 32.2 |
| Specialised hospital | 1 | 0.2 | 2 | 0.4 |
| Other | 0 | 0 | 25 | 5.2 |
Locations of doctors working outside South Africa (n = 34)
| Country | % | |
|---|---|---|
| Canada | 8 | 23.5 |
| UK | 7 | 20.6 |
| Australia | 7 | 20.6 |
| USA | 4 | 11.8 |
| Germany | 2 | 5.9 |
| Israel | 2 | 5.9 |
| Denmark | 1 | 2.9 |
| Namibia | 1 | 2.9 |
| Other | 2 | 5.9 |
Fig. 2Reasons for leaving South Africa
Characteristics of urban and rural workers (n = 417)
| Variable | Urban | Rural | |
|---|---|---|---|
| Gender | |||
| Female | 247 (64.3%) | 15 (45.5%) | 0.039 |
| Male | 137 (35.8%) | 18 (54.6%) | |
| Population group* | |||
| Black | 94 (24.5%) | 20 (60.6%) | < 0.002 |
| Coloured | 11 (2.9%) | 0 (0%) | |
| Indian | 95 (24.5%) | 4 (12.1%) | |
| White | 182 (47.5%) | 9 (27.3%) | |
| Graduating year | |||
| 2007 | 60 (15.7%) | 1 (3.0%) | 0.126 |
| 2008 | 78 (20.4%) | 6 (18.2%) | |
| 2009 | 69 (18.0%) | 4 (12.1%) | |
| 2010 | 81 (20.9%) | 9 (27.3%) | |
| 2011 | 96 (25.1%) | 13 (39.4%) | |
| Background | |||
| Urban | 330 (89%) | 12 (36.4%) | < 0.000 1 |
| Rural | 54 (14.1%) | 21 (63.6%) | |
^Fisher’s exact test
*Two respondents reported their population group as ‘other’
Predictors of currently working in a rural area in South Africa—multiple logistic regression
| Variable | OR | 95% CI | |
|---|---|---|---|
| Years since graduating | 0.76 | [0.558; 1.047] | 0.094 |
| Male | 1.248 | [0.542; 2.874] | 0.603 |
| Rural background | 4.884 | [1.982; 12.031] | 0.001 |
| Internship in rural area | 3.119 | [1.232; 7.900] | 0.016 |
| Community service in rural area | 3.057 | [1.164; 8.029] | 0.023 |