Using modeling and scenario analysis to support evidence-based health workforce strategic planning in Malawi.

BACKGROUND: A well-trained and equitably distributed workforce is critical to a functioning health system. As workforce interventions are costly and time-intensive, investing appropriately in strengthening the health workforce requires an evidence-based approach to target efforts to increase the number of health workers, deploy health workers where they are most needed, and optimize the use of existing health workers. This paper describes the Malawi Ministry of Health (MoH) and collaborators' data-driven approach to designing strategies in the Human Resources for Health Strategic Plan (HRH SP) 2018-2022. METHODS: Three modelling exercises were completed using available data in Malawi. Staff data from districts, central hospitals, and headquarters, and enrollment data from all health training institutions were collected between October 2017 and February 2018. A vacancy analysis was conducted to compare current staffing levels against established posts (the targeted number of positions to be filled, by cadre and work location). A training pipeline model was developed to project the future available workforce, and a demand-based Workforce Optimization Model was used to estimate optimal staffing to meet current levels of service utilization. RESULTS: As of 2017, 55% of established posts were filled, with an average of 1.49 health professional staff per 1000 population, and with substantial variation in the number of staff per population by district. With current levels of health worker training, Malawi is projected to meet its establishment targets in 2030 but will not meet the WHO standard of 4.45 health workers per 1000 population by 2040. A combined intervention reducing attrition, increasing absorption, and doubling training enrollments would allow the establishment to be met by 2023 and the WHO target to be met by 2036. The Workforce Optimization Model shows a gap of 7374 health workers to optimally deliver services at current utilization rates, with the largest gaps among nursing and midwifery officers and pharmacists. CONCLUSIONS: Given the time and significant financial investment required to train and deploy health workers, evidence needs to be carefully considered in designing a national HRH SP. The results of these analyses directly informed Malawi's HRH SP 2018-2022 and have subsequently been used in numerous planning processes and investment cases in Malawi. This paper provides a practical methodology for evidence-based HRH strategic planning and highlights the importance of strengthening HRH data systems for improved workforce decision-making.

Lessons learned from implementation of the Workload Indicator of Staffing Need (WISN) methodology: an international Delphi study of expert users.

BACKGROUND: Staffing of health services ought to consider the workload experienced to maximize efficiency. However, this is rarely the case, due to lack of an appropriate approach. The World Health Organization (WHO) developed and has promoted the Workload Indicators of Staffing Need (WISN) methodology globally. Due to its relative simplicity compared to previous methods, the WISN has been used extensively, particularly after its computerization in 2010. Many lessons have been learnt from the introduction and promotion of the methodology across the globe but have, hitherto, not been synthesized for technical and policy consideration. This study gathered, synthesized, and now shares the key adaptations, innovations, and lessons learned. These could facilitate lesson-learning and motivate the WHO's WISN Thematic Working Group to review and further ease its application. METHODS: The study aimed to answer four questions: (1) how easy is it for the users to implement each step of the WISN methodology? (2) What innovations have been used to overcome implementation challenges? (3) What lessons have been learned that could inform future WISN implementation? and (4) what recommendations can be made to improve the WISN methodology? We used a three-round traditional Delphi method to conduct a case study of user-experiences during the adoption of the WISN methodology. We sent three email iterations to 23 purposively selected WISN expert users across 21 countries in five continents. Thematic analysis of each round was done simultaneously with data collection. RESULTS: Participants rated seven of the eight technical steps of the WISN as either "very easy" or "easy" to implement. The step considered most difficult was obtaining the Category Allowance Factors (CAF). Key lessons learned were that: the benefits gained from applying the WISN outweigh the challenges faced in understanding the technical steps; benchmarking during WISN implementation saves time; data quality is critical for successful implementation; and starting with small-scale projects sets the ground better for more effective scale-up than attempting massive national application of the methodology the first time round. CONCLUSIONS: The study provides a good reference for easing WISN implementation for new users and for WHO to continue promoting and improving upon it.

Making the transition to workload-based staffing: using the Workload Indicators of Staffing Need method in Uganda.

BACKGROUND: Uganda's health workforce is characterized by shortages and inequitable distribution of qualified health workers. To ascertain staffing levels, Uganda uses fixed government-approved norms determined by facility type. This approach cannot distinguish between facilities of the same type that have different staffing needs. The Workload Indicators of Staffing Need (WISN) method uses workload to determine number and type of staff required in a given facility. The national WISN assessment sought to demonstrate the limitations of the existing norms and generate evidence to influence health unit staffing and staff deployment for efficient utilization of available scarce human resources. METHODS: A national WISN assessment (September 2012) used purposive sampling to select 136 public health facilities in 33/112 districts. The study examined staffing requirements for five cadres (nursing assistants, nurses, midwives, clinical officers, doctors) at health centres II (n = 59), III (n = 53) and IV (n = 13) and hospitals (n = 11). Using health management information system workload data (1 July 2010-30 June 2011), the study compared current and required staff, assessed workload pressure and evaluated the adequacy of the existing staffing norms. RESULTS: By the WISN method, all three types of health centres had fewer nurses (42-70%) and midwives (53-67%) than required and consequently exhibited high workload pressure (30-58%) for those cadres. Health centres IV and hospitals lacked doctors (39-42%) but were adequately staffed with clinical officers. All facilities displayed overstaffing of nursing assistants. For all cadres at health centres III and IV other than nursing assistants, the fixed norms or existing staffing or both fell short of the WISN staffing requirements, with, for example, only half as many nurses and midwives as required. CONCLUSIONS: The WISN results demonstrate the inadequacies of existing staffing norms, particularly for health centres III and IV. The results provide an evidence base to reshape policy, adopt workload-based norms, review scopes of practice and target human resource investments. In the near term, the government could redistribute existing health workers to improve staffing equity in line with the WISN results. Longer term revision of staffing norms and investments to effectively reflect actual workloads and ensure provision of quality services at all levels is needed.

Influencing policy change: the experience of health think tanks in low- and middle-income countries.

In recent years there has been a growth in the number of independent health policy analysis institutes in low- and middle-income countries which has occurred in response to the limitation of government analytical capacity and pressures associated with democratization. This study aimed to: (i) investigate the contribution made by health policy analysis institutes in low- and middle-income countries to health policy agenda setting, formulation, implementation and monitoring and evaluation; and (ii) assess which factors, including organizational form and structure, support the role of health policy analysis institutes in low- and middle-income countries in terms of positively contributing to health policy. Six case studies of health policy analysis institutes in Bangladesh, Ghana, India, South Africa, Uganda and Vietnam were conducted including two NGOs, two university and two government-owned policy analysis institutes. Case studies drew on document review, analysis of financial information, semi-structured interviews with staff and other stakeholders, and iterative feedback of draft findings. Some of the institutes had made major contributions to policy development in their respective countries. All of the institutes were actively engaged in providing policy advice and most undertook policy-relevant research. Relatively few were engaged in conducting policy dialogues, or systematic reviews, or commissioning research. Much of the work undertaken by institutes was driven by requests from government or donors, and the primary outputs for most institutes were research reports, frequently combined with verbal briefings. Several factors were critical in supporting effective policy engagement. These included a supportive policy environment, some degree of independence in governance and financing, and strong links to policy makers that facilitate trust and influence. While the formal relationship of the institute to government was not found to be critical, units within government faced considerable difficulties.

Using the Workload Indicator of Staffing Needs (WISN) Methodology to Assess Work Pressure among the Nursing Staff of Lacor hospital

In their effort to provide adequate and quality health services; health systems in both developed and the developing countries have to confront the challenges of an ever increasing population with limited or diminishing resources. This includes the human resource which constitutes a major input in health care delivery and a key determinant of the cost and quality of care. There is an increasing need therefore for health organizations to identify the most appropriate staffing levels and skill mix to ensure efficient use of the limited health personnel. This paper demonstrates the use of the workload indicator of staffing needs (WISN) methodology in determining staffing requirements for the nursing staff in a hospital setting. It shows how the results can be used to assess overstaffing and understaffing as well as determine the work pressure among the different categories of nurses thus providing a basis for effective nurse redistribution to exploit efficiency gains without compromising the quality of services

'I believe that the staff have reduced their closeness to patients': an exploratory study on the impact of HIV/AIDS on staff in four rural hospitals in Uganda.

BACKGROUND: Staff shortages could harm the provision and quality of health care in Uganda, so staff retention and motivation are crucial. Understanding the impact of HIV/AIDS on staff contributes to designing appropriate retention and motivation strategies. This research aimed 'to identify the influence of HIV/AIDS on staff working in general hospitals at district level in rural areas and to explore support required and offered to deal with HIV/AIDS in the workplace'. Its results were to inform strategies to mitigate the impact of HIV/AIDS on hospital staff. METHODS: A cross-sectional study with qualitative and quantitative components was implemented during two weeks in September 2005. Data were collected in two government and two faith-based private not-for-profit hospitals purposively selected in rural districts in Uganda's Central Region. Researchers interviewed 237 people using a structured questionnaire and held four focus group discussions and 44 in-depth interviews. RESULTS: HIV/AIDS places both physical and, to some extent, emotional demands on health workers. Eighty-six per cent of respondents reported an increased workload, with 48 per cent regularly working overtime, while 83 per cent feared infection at work, and 36 per cent reported suffering an injury in the previous year. HIV-positive staff remained in hiding, and most staff did not want to get tested as they feared stigmatization. Organizational responses were implemented haphazardly and were limited to providing protective materials and the HIV/AIDS-related services offered to patients. Although most staff felt motivated to work, not being motivated was associated with a lack of daily supervision, a lack of awareness on the availability of HIV/AIDS counselling, using antiretrovirals and working overtime. The specific hospital context influenced staff perceptions and experiences. CONCLUSION: HIV/AIDS is a crucially important contextual factor, impacting on working conditions in various ways. Therefore, organizational responses should be integrated into responses to other problematic working conditions and adapted to the local context. Opportunities already exist, such as better use of supervision, educational sessions and staff meetings. However, exchanges on interventions to improve staff motivation and address HIV/AIDS in the health sector are urgently required, including information on results and details of the context and implementation process.