Multi-country case studies on planning RMNCH services using WISN methodology: Bangladesh, Ghana, Kenya, Sultanate of Oman and Papua New Guinea.

BACKGROUND: Globally, many countries are adopting evidence-based workforce planning that facilitates progress towards achieving sustainable development goals for reproductive, maternal newborn and child health. We reviewed case studies on workforce planning for reproductive maternal newborn child health services at primary care level facilities using workload indicators of staffing need in five countries. METHOD: Using available workload indicators for staffing need reports from Bangladesh, Ghana, Kenya, Sultanate of Oman and Papua New Guinea, we generated descriptive statistics to explore comparable workload components and activity standards, health service delivery models with an emphasis on the primary care levels and the specific health occupations offering interventions associated with reproductive maternal, newborn and child health services. RESULTS: The health services delivery models vary from one country to another. The results showed variability in the countries, in the workload components and activity standards of each regardless of facility level or occupational groups involved. All the countries have decentralized health services with emphasis on comprehensive primary care. Reproductive, maternal and new-born child health care services include antenatal, postnatal, immunization, family planning, baby wellness clinics, delivery and management of integrated minor childhood illnesses. Only Sultanate of Oman offers fertility services at primary care. Kenya has expanded interventions in the households and communities. CONCLUSION: Since the health care services models, health services delivery contexts and the health care worker teams vary from one country to another, the study therefore concludes that activity standards cannot be adopted or adapted from one country to another despite having similar workload components. Evidence based workforce planning must be context-specific, and therefore requires that each country develop its own workload components and activity standards aligned to their local contexts.

Adopting workload-based staffing norms at public sector health facilities in Bangladesh: evidence from two districts.

BACKGROUND: Bangladesh's Health system is characterized by severe shortage and unequitable distribution of the formally trained health workforce. In this context, government of Bangladesh uses fixed staffing norms for its health facilities. These norms do not always reflect the actual requirement in reality. This study was conducted in public sector health facilities in two selected districts to assess the existing staffing norms with the purpose of adopting better norms and a more efficient utilization of the existing workforce. METHODS: To carry out this assessment, WHO's Workload Indicators of Staffing Need (WISN) method was applied. Selection of the two districts out of 64 and a total of 24 health facilities were made in consultation with the formally established steering committee of the Ministry of Health. Health facilities, which were performing well in serving the patients during 2016-2017, were selected. This assessment examined staffing requirement of 20 staff categories. RESULTS: Based on the computer-generated WISN results, most of the staff categories were found to have a workload pressure of Very High (seven out of 20 staff categories), followed by Extremely High (five staff categories). Two staff categories had high, three had moderately high, two normal, and one low workload. Nurses were found to be predominantly occupied with support activities (50-60% of working time), instead of actual nursing care. Regarding vacancy, if all the vacant posts were filled, understandably, the workload would reduce, but not yet sufficient to meet the existing staff requirements such as consultants, general physicians and nurses at the district and sub-district/upazila-based hospitals. CONCLUSION: The existing staffing norms fall short of the WISN staffing requirement. The results provide evidence to prompt a revisit of the staffing policies and adopt workload-based norms. This can be supplemented by reviewing the scope of practice of the staff categories in their respective health facilities. In the short term, government might consider redistributing existing workforce as per workload. In the long term, revision of staffing norms is needed to provide quality health services for all.

Informing investment in health workforce in Bangladesh: a health labour market analysis.

BACKGROUND: As the 2016 Global Strategy on Human Resources for Health: Workforce 2030 (GSHRH) outlines, health systems can only function with health workforce (HWF). Bangladesh is committed to achieving universal health coverage (UHC) hence a comprehensive understanding of the existing HWF was deemed necessary informing policy and funding decisions to the health system. METHODS: The health labour market analysis (HLMA) framework for UHC cited in the GSHRH was adopted to analyse the supply, need and demand of all health workers in Bangladesh. Government's information systems provided data to document the public sector HWF. A national-level assessment (2019) based on a country representative sample of 133 geographical units, served to estimate the composition and distribution of the private sector HWF. Descriptive statistics served to characterize the formal and informal HWF. RESULTS: The density of doctors, nurses and midwives in Bangladesh was only 9.9 per 10 000 population, well below the indicative sustainable development goals index threshold of 44.5 outlined in the GSHRH. Considering all HWFs in Bangladesh, the estimated total density was 49 per 10 000 population. However, one-third of all HWFs did not hold recognized roles and their competencies were unknown, taking only qualified and recognized HWFs into account results in an estimated density 33.2. With an estimate 75 nurses per 100 doctors in Bangladesh, the second area, where policy attention appears to be warranted is on the competencies and skill-mix. Thirdly, an estimated 82% of all HWFs work in the private sector necessitates adequate oversight for patient safety. Finally, a high proportion of unfilled positions in the public sector, especially in rural areas where 67% of the population lives, account only 11% of doctors and nurses. CONCLUSION: Bangladesh is making progress on many of the milestones of the GSHRH, notably, the establishment of the HWF unit and reporting through the national health workforce accounts. However, particular investment on strengthening the intersectoral HWF coordination across sectors; regulation for assurance of patient safety and adequate oversight of the private sector; establishing accreditation mechanisms for training institutions; and halving inequalities in access to a qualified HWF are important towards advancing UHC in Bangladesh.

Assessment of staffing needs for physicians and nurses at Upazila health complexes in Bangladesh using WHO workload indicators of staffing need (WISN) method.

OBJECTIVE: This study aimed to assess the current workload and staffing need of physicians and nurses for delivering optimum healthcare services at the Upazila Health Complexes (UpHCs) in Bangladesh. DESIGN: Mixed-methods, combining qualitative (eg, document reviews, key informant interviews, in-depth interviews, observations) and quantitative methods (time-motion survey). SETTING: Study was conducted in 24 health facilities of Bangladesh. However, UpHCs being the nucleus of primary healthcare in Bangladesh, this manuscript limits itself to reporting the findings from the providers at four UpHCs under this project. PARTICIPANTS: 18 physicians and 51 nurses, males and females. PRIMARY OUTCOME MEASURES: Workload components were defined based on inputs from five experts, refined by nine service providers. Using WHO Workload Indicator of Staffing Need (WISN) software, standard workload, category allowance factor, individual allowance factor, total required number of staff, WISN difference and WISN ratio were calculated. RESULTS: Physicians have very high (WISN ratio 0.43) and nurse high (WISN ratio 0.69) workload pressure. 50% of nurses' time are occupied with support activities, instead of nursing care. There are different workloads among the same staff category in different health facilities. If only the vacant posts are filled, the workload is reduced. In fact, sanctioned number of physicians and nurses is more than actual need. CONCLUSIONS: It is evident that high workload pressures prevail for physicians and nurses at the UpHCs. This reveals high demand for these health workforces in the respective subdistricts. WISN method can aid the policy-makers in optimising utilisation of existing human resources. Therefore, the government should adopt flexible health workforce planning and recruitment policy to manage the patient load and disease burden. WISN should, thus, be incorporated as a planning tool for health managers. There should be a regular review of health workforce management decisions, and these should be amended based on periodic reviews.