Health financing policies during the COVID-19 pandemic and implications for universal health care: a case study of 15 countries.

BACKGROUND: The COVID-19 pandemic was a health emergency requiring rapid fiscal resource mobilisation to support national responses. The use of effective health financing mechanisms and policies, or lack thereof, affected the impact of the pandemic on the population, particularly vulnerable groups and individuals. We provide an overview and illustrative examples of health financing policies adopted in 15 countries during the pandemic, develop a framework for resilient health financing, and use this pandemic to argue a case to move towards universal health coverage (UHC). METHODS: In this case study, we examined the national health financing policy responses of 15 countries, which were purposefully selected countries to represent all WHO regions and have a range of income levels, UHC index scores, and health system typologies. We did a systematic literature review of peer-reviewed articles, policy documents, technical reports, and publicly available data on policy measures undertaken in response to the pandemic and complemented the data obtained with 61 in-depth interviews with health systems and health financing experts. We did a thematic analysis of our data and organised key themes into a conceptual framework for resilient health financing. FINDINGS: Resilient health financing for health emergencies is characterised by two main phases: (1) absorb and recover, where health systems are required to absorb the initial and subsequent shocks brought about by the pandemic and restabilise from them; and (2) sustain, where health systems need to expand and maintain fiscal space for health to move towards UHC while building on resilient health financing structures that can better prepare health systems for future health emergencies. We observed that five key financing policies were implemented across the countries-namely, use of extra-budgetary funds for a swift initial response, repurposing of existing funds, efficient fund disbursement mechanisms to ensure rapid channelisation to the intended personnel and general population, mobilisation of the private sector to mitigate the gaps in public settings, and expansion of service coverage to enhance the protection of vulnerable groups. Accountability and monitoring are needed at every stage to ensure efficient and accountable movement and use of funds, which can be achieved through strong governance and coordination, information technology, and community engagement. INTERPRETATION: Our findings suggest that health systems need to leverage the COVID-19 pandemic as a window of opportunity to make health financing policies robust and need to politically commit to public financing mechanisms that work to prepare for future emergencies and as a lever for UHC. FUNDING: Bill & Melinda Gates Foundation.

Health financing policy responses to the COVID-19 pandemic: a review of the first stages in the WHO South-East Asia Region.

COVID-19 imposed unprecedented financing requirements on countries to rapidly implement effective prevention and control measures while dealing with severe economic contraction. The challenges were particularly acute for the 11 countries in the WHO South-East Asia Region (SEAR), home to the lowest average level of public expenditure on health of all WHO regions. We conducted a narrative review of peer-reviewed, grey literature and publicly available sources to analyse the immediate health financing policies adopted by countries in the WHO SEAR in response to COVID-19 in the first 12 months of the pandemic, i.e. from 1 March 2020 to 1 March 2021. Our review focused on the readiness of health systems to address the financial challenges of COVID-19 in terms of revenue generation, financial protection and strategic purchasing including public financial management issues. Twenty peer-reviewed articles were included, and web searches identified media articles (n = 21), policy reports (n = 18) and blog entries (n = 5) from reputable sources. We found that countries in the SEAR demonstrated great flexibility in responding to the COVID-19 pandemic, including exploring various options for revenue raising, removing financial barriers to care and rapidly adapting purchasing arrangements. At the same time, the pandemic exposed pre-existing health financing policy weaknesses such as underinvestment, inadequate regulatory capacity of the private health sector and passive purchasing, which should give countries an impetus for reform towards more resilient health systems. Further monitoring and evaluation are needed to assess the long-term implications of policy responses on issues such as government capacity for debt servicing and fiscal space for health and how they protect progress towards the objectives of universal health coverage.

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.

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.