| Literature DB >> 16737544 |
Katharina Kober1, Wim Van Damme.
Abstract
BACKGROUND: The lack of human resources for health (HRH) is increasingly being recognized as a major bottleneck to scaling up antiretroviral treatment (ART), particularly in sub-Saharan Africa, whose societies and health systems are hardest hit by HIV/AIDS. In this case study of Swaziland, we describe the current HRH situation in the public sector. We identify major factors that contribute to the crisis, describe policy initiatives to tackle it and base on these a number of projections for the future. Finally, we suggest some areas for further research that may contribute to tackling the HRH crisis in Swaziland.Entities:
Year: 2006 PMID: 16737544 PMCID: PMC1513248 DOI: 10.1186/1478-4491-4-13
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Figure 1Map of HRH flows in Swaziland.
HRH inventory of the public and mission health sectors in Swaziland, June 2004
| Physicians | 182 (17) | 90 | 50 (5) | 40 (44%) |
| Nurses | 3261 (296) | 944 | 758 (69) | 183 (19%) |
| Nursing Assistants | 700 (63) | 454 | 376 (34) | 78 (17%) |
Projections of the nursing workforce in the public and mission health sectors until 2010, based on findings in 2004
| Total nurses in the public and mission sectors | 758 | 694 | 634 | 577 | 524 | 473 | 426 |
| Total inflow | 80 | 80 | 80 | 80 | 80 | 80 | 80 |
| Training output | 80 | 80 | 80 | 80 | 80 | 80 | 80 |
| Immigration | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Total outflow | 144 | 140 | 137 | 133 | 130 | 127 | 125 |
| Normal retirement* | 15 | 14 | 13 | 12 | 10 | 9 | 9 |
| Retirement/death due to AIDS** | 29 | 26 | 24 | 22 | 20 | 18 | 16 |
| Emigration | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| Net loss per year | 64 | 60 | 57 | 53 | 50 | 47 | 45 |
* Rate calculated at 2%
** Based on 38% HIV prevalence and estimating that 10% of HIV+ people have AIDS
Projections of the nursing workforce in the public and mission health sectors in 2010, based on findings in 2005
| Total nurses in the public and mission sectors by mid 2010 | 474 | 734 | 618 | 538 | 974 | |
| Total inflow | 480 | 480 | 660 | 560 | 740 | |
| Training output | 480 | 480 | 480 | 560 | 560 | |
| Immigration | 0 | 0 | 180 | 0 | 180 | |
| Total outflow | 764 | 504 | 800 | 780 | 524 | |
| Normal retirement¶ | 77 | 87 | 84 | 75 | 95 | |
| Retirement/death due to AIDS§ | 87 | 122 | 117 | 105 | 134 | |
| Emigration | 600 | 295 | 600 | 600 | 295 | |
| Total loss between 2004 and 2010 | 284 | 24 | 140 | 220 | -216 |
* Column taken from Table 2 (under the 2004 assumption that no HRH measures are taken)
¶ Rate calculated at 2%
§ Based on the assumption of 42% HIV prevalence; 10% of HIV+ people have AIDS and need ART; one third of those in need are put on ART (i.e. the current rate of ART scale-up)