Overcoming Human-Resources- for-Health Challenges at the Service Delivery Level

Health Care Improvement Project, University Research Co. LLC, United States

A comprehensive response to human-resources-for-health (HRH) challenges requires both macro- and micro-level interventions. Macro-level interventions are well suited for international- and national-level action. At the service delivery level, however, institutional and micro-level interventions are required to attract, train, and retain health workers in sufficient numbers. These workers must then be equitably deployed and consistently motivated to provide high-quality services. The second High-Level Forum on Health Millennium Development Goals (MDGs), held in Abuja, Nigeria, in December 2004, acknowledged that unless action is urgently taken to address the HRH crisis, many countries will fail to reach the MDGs. It was acknowledged at that time that this failure would represent not merely a missed deadline but a real calamity for the impoverished citizens of the affected countries.1

The HRH crisis is being experienced by fragile health-care systems in many developing countries and is the result of several macroeconomic factors as well as poor governance. This crisis, while long-standing, is compounded by the magnitude of the HIV pandemic, which has led to excessive workloads and burnout, high worker attrition rates, and limited entry of young professionals into the workforce. Any solutions to this crisis must therefore address broader macroeconomic factors as well as the local conditions influencing the availability of human resources on the ground. The World Health Organization (WHO) 2006 World Health Report2 included global, regional, and country-level profiles of workers in the health sector and provided new data on health worker demographics. It also provided recommendations for the future development of HRH from the WHO-led task-shifting consortium.3

According to the Global Health Workforce Alliance, in 2006, sub-Saharan Africa, home to about 11% of the world’s population, bore more than 24% of the global disease burden; yet it was home to just 3% of the global health workforce and spent less than 1% of the world’s financial resources on health. In most developing countries, the health workforce is concentrated in major towns and cities, while rural areas, on average, contain only 23% of the country’s doctors and 38% of its nurses.4 Imbalances exist not only in the total numbers and geographical distribution of health workers, but also in the skills mix of available health workers. WHO estimates that 57 countries worldwide (36 of which are in sub-Saharan Africa) have such a critical shortage of health workers that the countries would need to increase their health workforce by about 140% to achieve enough coverage for essential health interventions in order to make a positive difference in the health and life expectancy of their populations.5

Reasons for the Human Resources Crisis

The major challenges to building an effective health-care workforce in developing countries include

  • low absolute numbers of trained health workers;
  • difficulties in recruiting, retaining, and managing health workers;
  • the impact of HIV on the health workforce; and
  • poor health-worker performance.

Low Absolute Numbers of Trained Health Workers

In many developing countries, the capacity for training health workers is limited. For example, Ethiopia, with a population of 75 million, trains about 200 doctors a year, whereas the United Kingdom, with a population of 60 million, trains more than 6,000 doctors a year.6 Two-thirds of the countries in sub-Saharan Africa have only one medical school, and some countries have none.7 In addition to the low capacity for training, there is a growing sense that in sub-Saharan Africa, the medical profession—and the clinical disciplines in particular—have become less attractive to new entrants due to low salaries in the public sector, low morale among existing health-service providers, dilapidated health systems, and fear of HIV infection. These factors need to be researched further to understand the role they play in attracting and retaining a high-quality health-care workforce.

Difficulties with Recruitment and Retention

Many facilities face difficulties in recruiting and retaining health staff. An important reason for this challenge is that health workers often migrate to find better opportunities. This migration includes international migration, internal rural-to-urban migration, migration from clinical to administrative jobs, migration from the public to the private or nongovernmental organization (NGO) sectors, or migration out of the health-care sector entirely.

Both push and pull factors are associated with migration. Push factors are those negative factors that lead to dissatisfaction with where the health worker currently works. Low wages, lack of additional training opportunities, poor working and living conditions, and lack of social and retirement benefits are commonly cited push factors.8 Pull factors are those factors that make other potential jobs or areas more attractive, including higher salaries, better working conditions, better benefit packages, training opportunities, and recognition of good performance.9

In a 2004 analysis of staff loss rates in Zambia, Huddart et al10 showed an annual rate of loss of 20% for clinical officers and 36% for midwives, with loss rates for doctors and nurses falling somewhere in between. In Malawi, death and resignation were the main causes of health-care worker attrition (Figure 1).11 Deaths often result in posts being left vacant because no additional staff are available to replace those who have passed away.

Impact of HIV Infection on the Health Workforce

In the study by Gonani et al,11 death contributed 48% of health-worker attrition—with 73% of these deaths attributed to HIV—making HIV a significant threat to HRH. The Joint Learning Initiative has identified three ways in which HIV poses a great threat to the health workforce.12 First, HIV is associated with increased workloads and skill demands; second, health workers frequently fall ill and die from HIV infection; and third, health workers must cope with the psychosocial stress of caring for increasing numbers of dying patients, in addition to caring for their own sick family members.12 In addition, fear, stigma, and discrimination affect worker motivation and performance.

Figure 1. Causes of attrition among health workers in six selected districts, Malawi, 1996–2002 (n=527)

Source: Gonani et al.11

A major concern among clinical service providers and other support staff in developing countries is the risk of contracting an infection such as HIV in the course of performing their regular duties. In studies conducted in Kenya13 and Malawi,11 9 out of 10 health managers perceived the risk of HIV infection to be high or very high. Reasons for this perception included lack of skills in infection prevention, delays in investigation of patients (e.g., those with signs or symptoms of TB), and lack of protective materials due to stock-outs and staff negligence. These fears led providers to avoid performing certain tasks or to leave clinical service altogether.

A study in South Africa found that 11.5% of health workers in two public hospitals were HIV positive. The proportions were highest among nurses, student nurses, and younger staff. Of those living with HIV, 19% had CD4 counts below 200 cells/mm3 and were therefore eligible to receive antiretroviral therapy (ART).14 In addition to directly affecting the lives of health workers, the HIV epidemic has led to widespread fear of infection, increased workload, and burnout.15 Research in Swaziland has suggested that these factors can lead to significant decreases in the quality of health-care services.16

There is also fear that the rapid scale-up of ART, because it is so labor intensive, will negatively affect other non-HIV-related health programs. However, early evidence suggests that the num ber of health worker lives saved by ART may offset the additional human resources needed to implement HIV treatment programs.17

Poor Health Worker Performance

In addition to problems created by the lack of absolute numbers and the inequitable distribution of health workers, there is also the problem that health workers do not always provide an acceptable level of care. In a 2005 review of this issue published in The Lancet,18 it was found that determinants of health workers’ performance included their knowledge, skills, motivation, and experience, and attitudes toward their job, workplace, and patients. The review also listed nonhealth-worker factors, such as the quality of the guidelines workers are expected to follow and the health facility environment (e.g., workload, availability of equipment, attitudes of co-workers and supervisors, and the degree of control workers have over the work environment), as well as external factors, such as the socioeconomic and political environments of the country or region in which the workers are practicing.

A study by Manongi et al19 explored the experiences of health workers in the primary health-care facilities of the Kilimanjaro region of Tanzania. The study looked at workers’ motivation, satisfaction, and frustration and attempted to identify areas in which sustainable improvements to services could be achieved. It was discovered that the primary factors influencing worker motivation were the complexities of multitasking in the context of staff shortages, a desire for more structured and supportive supervision from managers, and improved transparency in career development opportunities.

Strategies to Address HRH Challenges

Increase the Number of Trained Health Workers

Efforts to train existing health workers in developing countries are growing as wealthier nations increase aid to these countries and recognize the futility of providing lifesaving medicines in the absence of properly educated medical personnel. National governments of developing countries are also beginning to increase investments in training more health workers, but these investments have so far fallen short of what is needed.

Some innovative approaches to increasing the number of trained health workers and for developing training programs to address some of the maldistribution problems have been attempted in various countries. For example, some countries offer free medical training to students from developing countries. Cuba graduated nearly 4,000 international students from its medical schools between 1966 and 2004.20 Medical schools within developing countries have also been founded or expanded using funds from international donors, including governments, nongovernmental development agencies, or medical schools in wealthier countries.21 Increasing the number of medical trainees will not necessarily solve all aspects of the workforce crisis. Egypt, for example, trains more physicians than it needs, but because of the low remuneration for working in rural areas, doctors often prefer to leave the country or leave the profession rather than move to rural areas.22

Recruitment and Retention

Decrease the Barriers to Hiring New Staff

The Capacity Project, an initiative supported by the United States Agency for International Development (USAID), has worked with health sector leaders to develop the Emergency Hiring Plan (EHP), a rapid-response staffing and training model designed to increase the number of qualified health professionals available to work in public health facilities.23 The EHP is helping the Kenyan Ministry of Health expand access to treatment and care through rapid hiring, training, and deployment of 830 health workers. This aid has shortened the recruitment process from more than a year to three and a half months. The new hires are given three-year contracts; afterward, the Ministry of Health absorbs them into the regular workforce. EHP hires also receive a two-week training session prior to starting work to update their HIV-related clinical skills. Once these workers are absorbed into the permanent service of the Ministry of Health, they receive routine in-service training alongside other regular staff.

Reduce International Migration

According to a 2004 report by the Africa Working Group of the Joint Learning Initiative on Human Resources, brain drain of health professionals due to international migration has reached serious proportions and is likely to be the single most important source of attrition from the health workforce in many countries in the region.24 A variety of meetings and consultations have led to policy declarations and proposals for action, in an effort to create an environment for effectively tackling human resource issues backed by strong political will. In 2002, the African Union, at its meeting in Durban, South Africa, declared 2004 a Year of Human Resources Development, with special emphasis on health.25 The establishment of the New Partnership for African Development (NEPAD) has also created avenues for multicountry efforts to tackle the health crisis in Africa. Several NEPAD deliberations have focused on strengthening human resources, with an emphasis on health. In addition, several initiatives have been started in conjunction with various international partners. Among these initiatives are the development of a NEPAD health strategy and an initial plan of action, which includes a proposal to “reach an international agreement on migration especially with regard to ethical recruitment of health personnel from Africa, whilst putting in place mechanisms to address the adverse conditions of service for health professionals.”26

Reduce Internal Migration at the Local Level

Whereas most workers identify salary level as an important push or pull factor, it is not the only factor in worker retention. Good accommodations, the quality of health-care facilities, and the welfare of the worker’s entire family are all important in the professional development of health workers. Attention to these factors has been shown to improve retention in high-income countries.27,28,29

Decrease Rural/Urban Health-Care Inequities

The unequal distribution of health staff is a significant challenge for rural facilities. For example, in Nairobi, Kenya, there is one doctor per 500 people, whereas the remote Turkana district of Kenya has one doctor per 160,000 people.30 Countries have used a variety of strategies to reduce geographical disparities, including increasing training opportunities for students from rural areas, providing a rural experience during pre- or postgraduate training, increasing the number of nonspecialist trained staff, and providing financial and nonfinancial incentives for health workers in rural areas.

A common strategy for increasing the number of health workers in rural areas is to provide training for students who come from rural areas. A wealth of evidence from developed countries indicates that students from rural areas are more likely to practice their profession in rural areas.31,32 This finding also holds true in South Africa33 and Thailand,34 where medical students from rural areas are more likely to return to those areas after graduation. Even if students do not originate from rural areas, providing rural experiences during pre- or postgraduate training can increase the chances of their practicing in rural areas. Again, although much of these data are from developed countries,35 evidence also exists from Ghana and Thailand34,36 that providing rural training experiences will increase the chance of trainees accepting a rural position. Another strategy is to increase the number of general physicians trained. Brazil and Canada have attempted this strategy based on the assumption that generalists are more likely to move to rural areas.37

In addition to making changes in the education of medical professionals, governments have provided incentives to recruit and retain staff in rural areas. South Africa, for instance, has introduced an 8% to 22% salary bonus for staff working in rural areas, depending on the cadre of staff and the rural designation of the placement. A survey conducted soon after this program was implemented found that 28% to 35% of staff in rural areas had decided to stay for the next year because of the rural allowance.38 According to another South African study, rural doctors stated that higher salaries would have the most effect on retention in rural areas but that nonfinancial incentives were also important. The three most important nonfinancial factors identified in this study were suitable accommodation, a good hospital environment and working conditions, and increased career opportunities. At least one of the doctors interviewed also listed access to continuing medical education, recognition and appreciation, and good staff relationships as important factors in retention.39

Decrease Staff Turnover

Most of the data on reducing staff turnover come from fields outside of health care or from health-care systems in high-income countries. In the following sections, we will review the general principles from these fields and then discuss examples of how these principles have been practiced in developing countries.

Husselid40 examined the association between human resource (HR) management practices of 968 American companies in various fields and their turnover rates, productivity, and financial performance. He grouped HR management considerations into two categories: (1) employee skills and organizational structures and (2) employee motivation (see Box 1).

The average annual turnover across all the companies in Husselid’s study was 18%.40 Companies that received higher ratings for employee skills and organizational structures had lower turnover rates. The factors relating to employee motivation were not associated with turnover. The author felt that although paying attention to motivation would help decrease turnover, performance appraisal and linking compensation to performance could increase turnover by causing weak staff members to leave. The same study found that staff productivity and company financial performance are both positively associated with good employee skills, good organizational structures, and employee motivation.

Within the health-care field in developed countries, a number of studies have examined the characteristics of hospitals with low turnover rates and the reasons staff members choose to leave a given facility. The NEXT Study Group compared the opinions of 1,175 nurses from hospitals with low and high turnover rates.29 Nurses from the low-turnover hospitals perceived fewer job opportunities in their local area, but they also expressed more positive feelings about the hospital where they worked. For instance, those nurses had a shorter commute, recognized lower exposure to hazards in the workplace, had more control over their work schedule, were happier with their roles and the latitude to make decisions in their jobs, and had a better effort-reward ratio. They also recognized better relationships with management and other health-care staff and received more professional development.

Similar factors are associated with staff turnover and retention in developing countries. In Uganda, one study found that intention to stay was positively correlated with workers being actively involved in the facility, having a manageable workload, having flexibility to balance the demands of work and personal life, and having opportunities for promotion.41 The study also found that worker satisfaction (a predictor of turnover) was associated with the worker feeling that the job was a good match, being satisfied with the salary, being satisfied with the supervisor, having job security, and perceiving the job as stimulating or fun.

According to a review of literature on the use of nonfinancial incentives for health worker retention in 16 countries in eastern and southern Africa (Angola, Botswana, Republic of Congo, Kenya, Lesotho, Madagascar, Malawi, Mauritius, Mozambique, Namibia, South Africa, Swaziland, Tanzania, Uganda, Zambia, and Zimbabwe), health workers receive a variety of nonfinancial incentives, including training and career path incentives, housing, transportation, child care, improvements to facilities, and security.42 Of the 16 countries assessed, 15 had also developed HR information systems.

Reduce the Effects of HIV

The first step in reducing the direct effects of HIV, as well as the stress related to the fear of infection, should be the introduction of good infection control procedures to protect health workers from nosocomial HIV infections.43 The use of postexposure prophylaxis to be taken in the event of a needle stick can also increase worker safety; however, staff members often do not report needle sticks due to reluctance to be tested for HIV, a prerequisite for receiving prophylaxis.44 It is also important that workers living with HIV have access to treatment. Although there are various models for this, they all need to be confidential, conveniently located, and easy for staff members to access.45

Improve Performance of Existing Staff

Even when absolute numbers of staff are low, there is an evidence base regarding how to improve the productivity and performance of existing staff. The main strategies for doing so include training, supervision, performance appraisal, changes to the way in which services are delivered, and implementation of modern quality-improvement methodologies.

Training

In March 2008, the Global Health Workforce Alliance First Forum of Human Resources for Health was held in Kampala, Uganda,46 with the theme of “Health Workers for All and All for Health Workers: An Agenda for Global Action.” Participants drafted the Kampala Declaration, which recognizes a shared vision in which “all people, everywhere, shall have access to a skilled, motivated and facilitated health worker within a robust health system.” An important ingredient of this commitment is the need for scaling up health worker education and training, not only in terms of technical skills but also in sustainable, continuous quality improvement and capacities.

Supervision beyond Checklists

Although in the past traditional supervision has yielded some improvements in health worker performance, recent work by organizations involved in quality improvement has demonstrated that it is necessary to go beyond traditional models to incorporate organizational and individual staff management and support approaches that lead to higher levels of performance and improved outcomes. For example, in a study to gather examples of how different service delivery organizations in Guatemala try to manage and improve the performance of their staff, it was found that availability of resources is a key factor in influencing staff performance.47 Providing resources to carry out fieldwork and offering salaries that are competitive within the national labor market appeared to have the greatest influence on staff performance. Additional important influences for ensuring improved performance included supervision linked to support for the performance of clearly defined individual tasks, coaching and mentoring, measuring, and monitoring.

Quality Improvement Methods

Over the years, the Quality Assurance Project (QAP)—the predecessor of the Health Care Improvement Project implemented by University Research Co. LLC—has been involved in using quality improvement methods to help provider teams identify barriers to providing effective and efficient health care and to develop solutions to these problems.48 This approach has led to more motivated staff, improved service delivery systems, and improved care outcomes. Examples of programs that have utilized this approach with subsequent improvements in staff performance and outcomes are presented on the QAP Web site (http://www.qaproject.org). Some of the improvements achieved by these programs include decreased postpartum hemorrhage, improved compliance with standards of care, improved adherence to antiretroviral (ARV) medicines, better triaging of children with serious illnesses, and better outcomes of emergency care, such as reduced deaths within 24 hours of admission. Importantly, these improvements have been made by changing the process of care delivery and without increasing the number of health-care workers.

Changes in Health Care Service Delivery

Highly skilled doctors are not available in large enough numbers to provide services to the majority of clients, especially in rural areas. One solution to address this is task shifting to well-trained lower-level cadres of service providers—for example, clinical officers and nurses instead of doctors.Different countries have a variety of locally trained indigenous health professionals—clinical officers in Malawi and Zambia, surgical and medical technicians in Mozambique, assistant medical officers with surgical and obstetric skills in Tanzania, and medical assistants in Ghana. The medical licentiates and clinical officers in Tanzania are trained to diagnose, treat, and prescribe and can therefore fulfill many functions in district hospitals that the shortage of doctors would otherwise have made impossible. Likewise, nurse practitioners in Swaziland and enrolled nurses in Malawi have played immense roles in their health systems, particularly in remote areas where it is difficult to get better-qualified health professionals to practice. These cadres typically require two to three years of postsecondary training, rather than the five to six years required for medical doctors.

Data show that tasks previously performed by doctors can be performed equally well by both nonphysician clinicians50 and nurses. Other data support the use of lay health workers to effectively deliver malaria treatment,51 increase immunization uptake, and improve treatment of TB.52 Mounting evidence also indicates that nonphysician practitioners (primarily clinical officers and nurses) can, with adequate training, deliver ART to HIV-positive patients.53

A few studies have documented the effectiveness of using nonphysician providers and lay health workers to increase capacity for HIV-related services. In 2003, a study conducted at 16 health-care sites in Zambia offering various HIV-related services (e.g., voluntary counseling and testing, prevention of mother-to-child transmission, and ART) demonstrated that it is possible to improve performance through the use of trained laypersons.54

In Mozambique, an intervention involving nurses performing CD4 lymphocyte counts, when implemented correctly, was associated with a more rational use of higher-level clinical providers, which may improve overall clinic flow and efficient use of the limited HR supply. However, this particular intervention did not lead to an increase in the number of patients starting ART or a reduction in the time to ART initiation. The length of time that the program had been operating played an important role in all outcomes, suggesting that general improvements in clinic efficiency may have overshadowed the effect of the intervention. The lack of observed effect in these outcomes may also be due to additional health system bottlenecks that delay the initiation of treatment in ART-eligible patients.55

More studies are needed to clarify the impact of changes to service delivery on the health workforce, particularly in light of increased global support for task shifting as a means to support the rapid scale-up of services. Although no one solution is available or feasible, the overall goal should be to get the right health workers with the right skills in the right place and doing the right things. Although each country is unique, each can and should learn from the experiences of others—best practices abound and need to be shared.

Conclusion

A major challenge to delivering quality services in developing countries is the growing shortage of trained health workers in countries already burdened with insufficient infrastructure, poor government health-care systems, and extreme poverty. Academic institutions lack the resources and faculty to produce enough qualified physicians. Doctors and nurses are leaving their home countries for better-paying jobs in developed countries or are migrating toward urban areas. Health-care professionals are also dying from the very infectious diseases they are needed to help prevent and treat. Overdependence on highly trained professionals, such as doctors, will thus limit the ability of these countries to scale up access to services.

Ultimately, in order to cope with these human resources challenges, it is essential to address both institutional and individual factors. Approaches at the institutional level include improved workforce management systems that pursue equitable distribution of health workers, staff inclusion in staffing-related decision making, clear job descriptions, improved communication between management and staff, supportive supervision, mentoring, and coaching. Approaches at the individual level include monetary and nonmonetary incentives, performance appraisal, career development, and task shifting linked to increased skills development. An effective response therefore requires a comprehensive approach that addresses institutional, facility, and individual factors in a holistic manner, while taking into consideration the needs and dynamics of the entire health-care system.

Reference List

1. High-Level Forum on the Health Millennium Development Goals (MDGs). Addressing Africa’s health workforce crisis: an avenue for action. http://www.hlfhealthmdgs.org/Documents/AfricasWorkforce-Final.pdf. Published December 2004. Accessed September 4, 2008.

2. World Health Organization (WHO). Working together for health: world health report. http://www.searo.who.int/LinkFiles/Making_Pregnancy_Safer_WHR06_en.pdf. Published 2006. Accessed March 24, 2008.

3. WHO. Treat, train, retain: the AIDS and health workforce plan. http://www.who.int/hiv/pub/meetingreports/TTRmeetingreport2.pdf. Published 2006. Accessed September 4, 2008.

4. WHO. The global shortage of health workers and its impact. http://www.who.int/ mediacentre/factsheets/fs302/en/index.html. Published 2006. Accessed March 6, 2008.

5. Anyangwe SCE, Mtonga C. Inequities in the global health workforce: the greatest impediment to health in sub-Saharan Africa. Int J Environ Res Public Health. 2007;4(2):93-100.

6. Crisp N, Gawanas B, Sharp I. Training the health workforce: scaling up, saving lives. Lancet. 2008:371;689-691.

7. Narasimhan V, Brown H, Pablos-Mendez A, et al. Responding to the global human resources crisis. Lancet. 2004;363:1469-1472.

8. Samb B, Celletti F, Holloway J, Van Damme W, De Cock KM, Dybul M. Rapid expansion of the health workforce in response to the HIV epidemic. NEJM. 2007;357(24):2510-2514.

9. Awases M, Gbary A, Nyoni J, Chotora R. Migration of health professionals in six countries: a synthesis report. http://www.afro.who.int/dsd/migration6countriesfinal.pdf. Published 2004. Accessed March 10, 2008.

10. Huddart J, Furth R, Lyons J. The Zambia HIV/AIDS workforce study: preparing for scale-up. Bethesda, MD: University Research Company, Quality Assurance Project; 2004.

11. Gonani A, Makuti M, Macheso A, Shongwe S, Kinoti S, Ndyanabangi BA. The Impact of HIV/AIDS on the health workforce in Malawi. Washington, DC: Support for Analysis and Research in Africa (SARA) Project, in collaboration with Ministry of Health Malawi and the Commonwealth Regional Health Community for East, Central and Southern Africa; 2004.

12. Joint Learning Initiative. Human resources for health: overcoming the crisis. Cambridge, MA: Harvard University Press; 2004.

13. Cheluget BK, Ngare C, Wahiu J, et al. Impact of HIV/AIDS on public health sector personnel in Kenya. Washington, DC: SARA Project, in collaboration with Ministry of Health Kenya, Commonwealth Regional Health Community, Secretariat Arusha, Tanzania; 2004.

14. Connely D, Veriava Y, Roberts S, et al. Prevalence of HIV infection and median CD4 counts among health workers in South Africa. S Afr Med J. 2007;97(2):108-109.

15. Dieleman M, Biemba G, Mphuka S, et al. “We are also dying like any other people, we are also people”: perceptions of the impact of HIV/AIDS on health workers in two districts in Zambia. Health Policy Plan. 2007;22(3):139-148.

16. Kinghorn A. The study of the health service burden of HIV/AIDS and the impact of HIV/AIDS on the health sector in Swaziland [draft report]. Johannesburg, South Africa: Health and Development Africa (Pty) Ltd., JTK Associates; September 2006.

17. Makombe SD, Jahn A, Tweya H, et al. A national survey of the impact of rapid scale-up of antiretroviral therapy on health workers in Malawi: effects on human resources and survival. Bull World Health Organ. 2007;85(11):851-857.

18. Rowe AK, de Savigny D, Lanata CF, Victoria CG. How can we achieve and maintain high-quality performance of health workers in low-resource settings? Lancet. 2005;366: 1026-1035.

19. Manongi RN, Marchant TC, Bygbjerg IC. Improving motivation among primary health workers in Tanzania: a health worker perspective. Hum Resour Health. 2006;4:6.

20. Keck CW. Cuba’s contribution to global health diplomacy. Paper presented at: Global Health Diplomacy Workshop; March 11–13, 2007; San Diego, CA. http://igcc.ucsd.edu/research/globalhealth/globalhealthpapers.php. Accessed December 15, 2007.

21. Oman K, Khwa-Otsyula B, Majoor G, et al. Working collaboratively to support medical education in developing countries: the case of the Friends of Moi University Faculty of Health Sciences. Educ Health. 2007;20:12.

22. Kandela P. Oversupply of doctors fuel Egypt’s health-care crisis. Lancet. 1998;352:123.

23. The Capacity Project. Kenya’s health care crisis: mobilizing the workforce in a new way. http://www.capacityproject.org/index.php?option=com_content&task=view&id=133&Itemid=108. Published November 2006. Accessed July 30, 2007.

24. Africa Working Group of the Joint Learning Initiative. Health workforce in Africa: challenges and prospects. http://www.hrhresource center.org/node/1355. Published September 2006. Accessed September 4, 2008.

25. African Union. Development of human resources for health in Africa: challenges and opportunities for action. Paper presented at: 76th Ordinary Session of Organization of African Unity (OAU) Council of Ministers; July 2002; Durban, South Africa.

26. New Partnership for Africa’s Development. Health strategy: initial program of action. http://www.afro.who.int/dsd/nepad_health_strategy.pdf. Published 2002. Accessed March 10, 2008.

27. Wolf GA, Greenhouse PK. A road map for creating a magnet work environment. J Nurs Adm. 2006;36:458-462.

28. Stone PW, Mooney-Kane C, Larson EL, Pastor DK, Zwanziger J, Dick AW. Nurse working conditions, organizational climate, and intent to leave in ICUs: an instrumental variable approach. Health Serv Res. 2007;42(3 pt 1):1085-1104.

29. Stordeur S, D’Hoore W (NEXT Study Group). Organizational configuration of hospitals succeeding in attracting and retaining nurses. J Adv Nurs. 2007;57:45-58.

30. United States Agency for International Development (USAID). The health sector human resources crisis in Africa: an issues paper. http://www.healthgap.org/camp/hcw_docs/USAID_healthsector_africa.pdf. Published February 2003. Accessed September 4, 2008.

31. Smith S, Edwards H, Courtney M, Finlayson K. Factors influencing student nurses in their choice of a rural clinical placement site. Rural Remote Health. 2001;1:89.

32. Easterbrook M, Godwin M, Wilson R, et al. Rural background and clinical rural rotations during medical training: effect on practice location. CMAJ. 1999;160:1159-1164.

33. Vries E, Reid S. Do South African rural origin medical students return to rural practice? Cape Town, South Africa: School of Public Health and Family Medicine, University of Cape Town; 2003.

34. Wibulpolprasert S, Pengpaibon P. Integrated strategies to tackle the inequitable distribution of doctors in Thailand: four decades of experience. Hum Resour Health. 2003;1:12. http://www.human-resources-health.com/content/1/1/12. Accessed September 7, 2008.

35. Dunbabin JS, McEwin K, Cameron I. Postgraduate medical placements in rural areas: their impact on the rural medical workforce. Rural Remote Health. 2006;6:481.

36. Nitayarumphong S, Srivanichakom S, Pongsupap Y. Strategies to respond to health manpower needs in rural Thailand. In: Ferrinho P, Van Lerberghe WV, eds. Providing Health Care under Adverse Conditions: Health Personnel Performance and Individual Coping Strategies. Vol. 16. Studies in Health Services Organisation and Policy. Antwerp, Belgium: ITG Press; 2000:55-72.

37. Dussault G, Franceschini MC. Not enough there, too many here: understanding geographical imbalances in the distribution of the health workforce. Hum Resour Health. 2006;4:12. http://www.human-resources-health.com/content/4/1/12. Accessed September 12, 2008.

38. Reid S. Monitoring the effect of the new rural health allowance for health professionals. Durban, South Africa: Health Systems Trust; 2004.

39. Kotzee TJ, Couper ID. What interventions do South African qualified doctors think will retain them in rural hospitals of the Limpopo province in South Africa? Rural Remote Health. 2006;6:581. Available from http://www.rrh.org.au.

40. Husselid MA. The impact of human resources management practices on turnover, productivity, and corporate financial performance. Acad Manage J. 1995;38:635-872.

41. Ministry of Health (MOH) Uganda, Capacity Project. Uganda health workforce study: satisfaction and intent to stay among current health workers. Kampala, Uganda: MOH; March 2007.

42. Yoswa M. A review of non-financial incentives for health worker retention in east and southern Africa. ECSA-HC Discussion Paper No. 44. Sovenga, South Africa: Dambisya Health Systems Research Group, Department of Pharmacy, School of Health Sciences, University of Limpopo, South Africa, with the Regional Network for Equity in Health in East and Southern Africa (EQUINET) and the East, Central and Southern African Health Community; May 2007.

43. Centers for Disease Control and Prevention (CDC). National Institute for Occupational Safety and Health alert: preventing needlestick injuries in health care settings. DHHS Publication No. (NIOSH) 2000-108. Cincinnati, OH: CDC; 1999.

44. van Oosterhout JJ, Nyirenda M, Beadsworth MB, Kanyangalika JK, Kumwenda JJ, Zijlstra EE. Challenges in HIV post-exposure prophylaxis for occupational injuries in a large teaching hospital in Malawi. Trop Doct. 2007;37(1):4-6.

45. Uebel KE, Nash J, Avalos A. Caring for the caregivers: models of HIV/AIDS care and treatment for health workers in Southern Africa. J Infect Dis. 2007;196(3)(suppl):500-504.

46. Global Health Workforce Alliance. Health workers for all and all for health workers: the Kampala declaration and agenda for global action. Paper presented at: First Global Forum of Human Resources for Health; March 2-7, 2008; Kampala, Uganda.

47. Walter G, Flores M. Managing staff performance in a developing country: a case study of one public and one private organization in Guatemala. In: Measuring and Monitoring Staff Performance in Reforming Health Systems. Liverpool, UK: Liverpool School of Tropical Medicine; 1998.

48. Askov K, Ashton J. The Guatemala QAP evaluation: application and institutionalization of quality assurance. Evaluation Report;1(4). Bethesda, MD: USAID/QAP.

49. Dieleman M, Viet Cuong P, Anh LV, Martineau T. Identifying factors for job motivation of rural health workers in North Viet Nam. Hum Resour Health. 2003;1:10.

50. Bergstrom S, Dovlo D, Jamison D, et al. The quality of emergency obstetrical surgery provided by non-physician clinicians in Malawi, Mozambique and Tanzania. Paper presented at: First Global Forum on Human Resources for Health; March 2-7, 2008; Kampala, Uganda.

51. Kidane G, Morrow RH. Teaching mothers to provide home treatment of malaria in Tigray, Ethiopia: a randomized trial. Lancet. 2000;356:550-555.

52. Lewin SA, Dick J, Pond P, et al. Lay health workers in primary and community health care. Cochrane Database of Systematic Reviews. 2005; Issue 1. Art. No.: CD004015. DOI: 10.1002/14651858.CD004015.pub2.

53. Stringer JSA, Zulu I, Levy J, et al. Rapid scale-up of antiretroviral therapy in primary care sites in Zambia. JAMA. 2006;296:782-793.

54. Zambia HIV/AIDS prevention, care, and treatment (ZPCT) partnership cooperative agreement (No. 690-A-00-04-00319-00). Quarterly report. Arlington, VA: Family Health International; May 2, 2006.

55. Gimbel-Sherr SO, Micek MA, Gimbel-Sherr KH, et al. Using nurses to identify HAART eligible patients in the Republic of Mozambique: results of a time series analysis. Hum Resour Health. 2007;5:7.

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Recommended citation format for articles: [Author Name(s)]. [Article Title]. In: Marlink RG, Teitelman ST, eds. From the Ground Up: Building Comprehensive HIV/AIDS Care Programs in Resource-Limited Settings. Washington, DC: Elizabeth Glaser Pediatric AIDS Foundation; 2009. http://ftguonline.org.