| Literature DB >> 28381289 |
Margaret Walton-Roberts1, Vivien Runnels2, S Irudaya Rajan3, Atul Sood4, Sreelekha Nair5, Philomina Thomas6, Corinne Packer2, Adrian MacKenzie7, Gail Tomblin Murphy8, Ronald Labonté9, Ivy Lynn Bourgeault10.
Abstract
BACKGROUND: This study sought to better understand the drivers of skilled health professional migration, its consequences, and the various strategies countries have employed to mitigate its negative impacts. The study was conducted in four countries-Jamaica, India, the Philippines, and South Africa-that have historically been "sources" of health workers migrating to other countries. The aim of this paper is to present the findings from the Indian portion of the study.Entities:
Keywords: Causes; Consequences; Doctors; Health worker migration; Human resources for health; India; Nurses; Policy responses
Mesh:
Year: 2017 PMID: 28381289 PMCID: PMC5382411 DOI: 10.1186/s12960-017-0199-y
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Health worker density for study countries of India, Jamaica, the Philippines, South Africa and for comparison purposes, the USA (available data). (Source: Global Health Observatory data repository density per 1000) accessed, December 7th 2015 http://apps.who.int/gho/data/node.main.A1444?lang=en
| Country | Year | Physicians density (per 1 000 population) | Nursing and midwifery personnel density (per 1 000 population) | Dentistry personnel density (per 1 000 population) | Pharmaceutical personnel density (per 1 000 population) | Laboratory health workers density (per 1 000 population) | Other health workers density (per 1 000 population) |
|---|---|---|---|---|---|---|---|
| India | 2011 | 0.743 | 1.711 | 0.095 | 0.529 | 0.506 | |
| Jamaica | 2008 | 0.411 | 1.09 | 0.09 | 0.06 | 0.21 | 0.42 |
| Philippines | 2011 | 0.886 | |||||
| South Africa | 2011 | 0.758 | 4.72 | 0.192 | 0.369 | 0.153 | 2.111 |
| United States of America | 2011 | 2.452 | 8.459 |
Fig. 1Which one of the following best describes the licensed health profession category to which you belong? (Source Health Professional Migration Survey (n = 1719))
Number of key stakeholder interviews by sector (Source Health Professional Migration Interviews) (n = 74)
| Location | Health care facility | Government | Professional association/council | Recruitment agency | Training/education | Non-governmental organizations |
|---|---|---|---|---|---|---|
| Kerala | 4 | 4 | 7 | 3 | 8 | 2 |
| Punjab | 3 | 9 | 6 | 3 | 5 | 1 |
| Delhi | 5 | 2 | 6 | 1 | 5 | |
| Total | 12 | 15 | 19 | 7 | 18 | 3 |
Fig. 2Application for foreign work permit/residence/license (Source Health Professional Migration Survey, n = 1719)
Fig. 3Frequency seeking migration information from recruiters (Source Health Professional Migration Survey, n = 1719)
Fig. 4Frequency seeking migration information from personal contacts (Source Health Professional Migration Survey, n = 1719)
Fig. 5Migration interest among health professionals (Source Health Professional Migration Survey, n = 1719)
Odds ratio estimates for respondents reporting having applied for foreign work permit
| Kerala | Punjab | |||||
|---|---|---|---|---|---|---|
| Effect | Point estimate | 95% confidence limits | Point estimate | 95% confidence limits | ||
| Dentist vs. nurse | 0.421 | 0.136 | 1.301 | N/A | N/A | N/A |
| Pharmacist vs. nurse | 0.230 | 0.066 | 0.808 | 2.037 | 0.883 | 4.696 |
| Generalist physician vs. nurse | 0.103 | 0.023 | 0.461 | 1.646 | 0.602 | 4.495 |
| Midwife vs. nurse | 1.653 | 0.197 | 13.853 | N/A | N/A | N/A |
| Specialist physician vs. nurse | 0.726 | 0.312 | 1.687 | 1.730 | 0.744 | 4.021 |
| Physiotherapist vs. nurse | 0.272 | 0.034 | 2.184 | N/A | N/A | N/A |
| Radiographer vs. nurse | 1.384 | 0.483 | 3.965 | N/A | N/A | N/A |
| Male vs. female | 2.522 | 1.389 | 4.578 | 1.667 | 0.797 | 3.488 |
| Age 25–34 vs. age <24 | 0.930 | 0.460 | 1.882 | 1.426 | 0.621 | 3.275 |
| Age 35–44 vs. age <24 | 0.512 | 0.196 | 1.335 | 2.568 | 0.808 | 8.166 |
| Age 45+ vs. age <24 | 0.561 | 0.192 | 1.644 | 3.544 | 1.105 | 11.365 |
| Married or living together vs. all others | 0.799 | 0.426 | 1.499 | 0.508 | 0.257 | 1.002 |
N/A insufficient numbers and/or data to include in model
Odds ratio estimates for respondents reporting having applied for a foreign residence
| Kerala | Punjab | |||||
|---|---|---|---|---|---|---|
| Effect | Point estimate | 95% confidence limits | Point estimate | 95% confidence limits | ||
| Dentist vs. nurse | 0.528 | 0.269 | 1.036 | 0.468 | 0.126 | 1.740 |
| Pharmacist vs. nurse | 0.511 | 0.281 | 0.929 | 1.638 | 0.603 | 4.451 |
| Generalist physician vs. nurse | 0.100 | 0.041 | 0.244 | 1.694 | 0.732 | 3.920 |
| Midwife vs. nurse | 0.913 | 0.189 | 4.395 | N/A | N/A | N/A |
| Specialist physician vs. nurse | 0.536 | 0.300 | 0.959 | 1.978 | 0.860 | 4.550 |
| Physiotherapist vs. nurse | 0.354 | 0.099 | 1.262 | N/A | N/A | N/A |
| Radiographer vs. nurse | 1.512 | 0.730 | 3.132 | N/A | N/A | N/A |
| Male vs. female | 1.527 | 1.022 | 2.279 | 1.712 | 0.821 | 3.571 |
| Age 25–34 vs. age <24 | 1.116 | 0.694 | 1.795 | 1.371 | 0.611 | 3.076 |
| Age 35–44 vs. age <24 | 0.629 | 0.343 | 1.155 | 2.425 | 0.813 | 7.232 |
| Age 45+ vs. age <24 | 0.532 | 0.260 | 1.090 | 4.168 | 1.340 | 12.965 |
| Married or living together vs. all others | 0.430 | 0.137 | 1.356 | 0.520 | 0.271 | 0.999 |
Odds ratio estimates for respondents reporting having applied for a foreign practice license
| Kerala | Punjab | |||||
|---|---|---|---|---|---|---|
| Effect | Point estimate | 95% confidence limits | Point estimate | 95% confidence limits | ||
| Dentist vs. nurse | 0.655 | 0.332 | 1.293 | 0.587 | 0.126 | 1.740 |
| Pharmacist vs. nurse | 0.577 | 0.311 | 1.071 | 1.772 | 0.876 | 4.239 |
| Generalist physician vs. nurse | 0.182 | 0.088 | 0.376 | 1.515 | 0.669 | 4.215 |
| Midwife vs. nurse | 0.450 | 0.055 | 3.656 | N/A | N/A | N/A |
| Specialist physician vs. nurse | 0.496 | 0.265 | 0.926 | 1.812 | 0.815 | 4.394 |
| Physiotherapist vs. nurse | 1.897 | 0.701 | 5.136 | N/A | N/A | N/A |
| Radiographer vs. nurse | 1.633 | 0.776 | 3.437 | N/A | N/A | N/A |
| Male vs. female | 1.245 | 0.822 | 1.884 | 1.700 | 0.774 | 3.536 |
| Age 25–34 vs. age <24 | 0.772 | 0.461 | 1.293 | 1.398 | 0.642 | 3.158 |
| Age 35–44 vs. age <24 | 0.662 | 0.358 | 1.224 | 2.446 | 0.819 | 7.937 |
| Age 45+ vs. age <24 | 0.538 | 0.263 | 1.101 | 3.785 | 1.291 | 11.980 |
| Married or living together vs. all others | 1.482 | 0.937 | 2.343 | 0.519 | 0.288 | 1.082 |
N/A insufficient numbers and/or data to include in model
Fig. 6View of mandatory national and return of service (Source Health Professional Migration Survey, n = 1719)
Fig. 7How would government policy effect your migration decisions? (Source Health Professional Migration Survey) n = 1719 each question