| Literature DB >> 16092964 |
Abstract
BACKGROUND: Sub-Saharan Africa faces a human resources crisis in the health sector. Over the past two decades its population has increased substantially, with a significant rise in the disease burden due to HIV/AIDS and recurrent communicable diseases and an increased incidence of noncommunicable diseases. This increased demand for health services is met with a rather low supply of health workers, but this notwithstanding, sub-Saharan African countries also experience significant wastage of their human resources stock.Entities:
Year: 2005 PMID: 16092964 PMCID: PMC1198245 DOI: 10.1186/1478-4491-3-6
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
Voluntary leavers: example of direct wastage in selected countries, 1999
| Total leavers | % voluntary | Total leavers | % voluntary | Total leavers | % voluntary | Total leavers | % voluntary | |
| Nurses | 744 | 58.7% | NA | NA | 47 | 78% | 43 | 23% |
| Doctors | 315 | 84.4% | NA | NA | 16 | 93.8% | 18 | 83.3% |
| Others/All | - | - | 50 | 62% | - | - | 17 | 76.5% |
Source: Dovlo D: Issues Affecting the Mobility and Retention of Health Workers/Professionals in Commonwealth African States. A consultancy report prepared for the Commonwealth Secretariat. London; 1999.
Wastage monitoring framework
| Movement from health to non-health sector | Probably small: 2 – 20 staff per year (Ghana. Mozambique, Namibia) | % of job leavers exiting health work completely (exit interviews) |
| Emigration to health sector outside country | 10% of Mauritian nurses, 61% of Ghanaian doctors | Certificate verification rates |
| Deaths, injuries and premature removal from the workforce | High significance of HIV/AIDS; Ghana 1.1% deaths compared with Malawi (<55%) of leavers | Mortality rates as % of workforce leavers, or Mortality rate in workforce |
| Inappropriate Administrative systems and policies | Affects other losses. Delays lose work input and may increase likelihood of emigration. | Average recruitment duration |
| Wastage as unemployment | Not well documented in Africa. Estimates of "ghost workers"? | Unemployed health workers as % of total workforce (for each category) |
| Wastage as underemployment | Data is not routinely collated but staff/workload indicators may help. | Staff workload Indicators, e.g. outpatient and inpatient staff per cadre |
| Wastage as a misuse | Significant in countries with senior medics and nurses as managers. | % staff: technical or professional in full-time managerial/administrative function |
| Wastage as inappropriate categories | 4–6 categories to deliver package of services in Ghana. | Workforce composition of skilled and semi-skilled staff |
| Absenteeism, low outputs | 2.3 days' sick leave per staff member versus 1.65 days off for all staff (Ghana) | Number of days off per staff member, per annum. |
| Misdeployment and maldistribution | Distribution differential: Doctors (Ghana): best 1:16201, worst 1:66071 | Doctor/nurse population ratios in different parts of country. |
| Wastage from misadministration of HRH | Difficult to assess quantitatively: e.g. 100% of new Lesotho nurses not recruited in 1998 | Recruitment and retention rates of new graduates of health training schools. |