| Literature DB >> 20616978 |
Alain Lekoubou1, Paschal Awah, Leopold Fezeu, Eugene Sobngwi, Andre Pascal Kengne.
Abstract
Chronic diseases are becoming increasingly important in sub-Saharan Africa (SSA). The current density and distribution of health workforce suggest that SSA cannot respond to the growing demand for chronic disease care, together with the frequent infectious diseases. Innovative approaches are therefore needed to rapidly expand the health workforce. In this article, we discuss the evidences in support of nurse-led strategies for chronic disease management in SSA, with a focus on hypertension and diabetes mellitus.Entities:
Keywords: chronic diseases; diabetes; hypertension; nurse-led care; sub-Saharan Africa; task shifting
Mesh:
Year: 2010 PMID: 20616978 PMCID: PMC2872286 DOI: 10.3390/ijerph7020353
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Distribution of health workforce (per 100,000 population) in sub-Saharan African countries [11].
| Angola | 5 | 114.0 | 4.3 | NA |
| Benin | 10.0 | 20.0 | 7.9 | NA |
| Botswana | 28.7 | 241.0 | 0.0 | NA |
| Burkina Faso | 4.0 | 26.0 | 3.4 | NA |
| Burundi | 0.5 | 1.0 | NA | NA |
| Cameroon | 7.4 | 36.7 | 0.5 | |
| Cape Verde | 17.1 | 55.8 | NA | NA |
| Central African Republic | 3.5 | 8.8 | 4.9 | NA |
| Chad | 2.5 | 15 | 2.3 | NA |
| Congo | 25.1 | 185.1 | 24.9 | NA |
| Côte d’Ivoire | 6.8 | 44.1 | 15.0 | NA |
| Democratic republic of Congo | 9.0 | 31.2 | NA | NA |
| Djibouti | 13.0 | 64.0 | NA | 2.0 |
| Eritrea | 5.1 | 21.0 | 2.2 | |
| Ethiopia | 3.0 | 6.0 | NA | NA |
| Gambia | 3.5 | 12.5 | 8.2 | NA |
| Ghana | 9.0 | 64.0 | 53.2 | NA |
| Guinea | 13.0 | 55.7 | 5.2 | NA |
| Guinea Bissau | 16.6 | 109.3 | 12.7 | NA |
| Kenya | 14.1 | 108 | NA | NA |
| Lesotho | 7.0 | 33.0 | 47.0 | NA |
| Liberia | 2.3 | 5.8 | 4.3 | NA |
| Madagascar | 8.7 | 18.8 | 10.7 | NA |
| Mali | 4.4 | 12.6 | 3.0 | NA |
| Mauritania | 13.8 | 62.4 | 10.1 | NA |
| Mauritius | 85 | 232.9 | NA | NA |
| Mozambique | 2.4 | 20.5 | NA | NA |
| Namibia | 29.1 | 165.8 | 116.5 | NA |
| Niger | 3.3 | 23.1 | 5.5 | NA |
| Nigeria | 26.9 | 66.2 | 52.4 | NA |
| Sao Tome and Principe | 46.7 | 127.4 | 29.6 | NA |
| Senegal | 10.0 | 50.0 | 6.6 | NA |
| Seychelles | 132.4 | 467.6 | 394.6 | NA |
| Sierra Leone | 8.8 | 90.7 | 4.7 | NA |
| Somalia | 4.0 | 20.0 | NA | 0.1 |
| South Africa | 25.1 | 140.0 | NA | NA |
| Sudan | 16.0 | 86.0 | NA | 1.1 |
| Swaziland | 15.1 | 40 | NA | NA |
| Tanzania | 4.1 | 85.2 | 44.8 | NA |
| Togo | 5.6 | 16.7 | 10.4 | NA |
| Uganda | 4.7 | 5.6 | 13.6 | NA |
| Zambia | 6.9 | 113.1 | NA | NA |
| Zimbabwe | 5.7 | 54.1 | 28.1 | NA |
Summary of studies on task shifting in SSA applied to Diabetes mellitus and Hypertension.
| South Africa | Gill GV [ | 2008 | Rural | Interventional Nurse-led protocol and education based | Diabetes | 980 including 284 selected for analysis | To nurses | HbA1c was 11.6 ± 4.5% at baseline, 8.7 ± 2.3% at 6 months and 7.7 ± 2.0% at 18 months |
| South Africa | Coleman R [ | 1998 | Rural and urban | Interventional Nurses-led protocol | diabetes and hypertension | 713 including 165 selected for analysis (hypertension) | To nurses | 68% of hypertensive “controlled” |
| South Africa | Bradley HA [ | 2007 | Urban | Interventional | Diabetes and hypertension | N/A (community based) | Community health workers | N/A |
| Cameroon | Kengne AP [ | 2009 | Rural and urban | Interventional Nurses-led protocol | Hypertension | 454 | To nurses | The mean changes in SBP between first and last visit was −11.7 mmHg (P < 0.001) and in −7.8 mm in DBP (P < 0.001) |
| Cameroon | Kengne AP [ | 2009 | Rural and urban | Interventional Nurses-led protocol | Diabetes | 225 | To nurses | Between baseline and final visits, mean fasting capillary glucose dropped by 1.6 mmol/L (95% CI: 0.8–2.3; |