Estimates of resource use in the public-sector health-care system and the effect of strengthening health-care services in Malawi during 2015-19: a modelling study (Thanzi La Onse).

Background: In all health-care systems, decisions need to be made regarding allocation of available resources. Evidence is needed for these decisions, especially in low-income countries. We aimed to estimate how health-care resources provided by the public sector were used in Malawi during 2015-19 and to estimate the effects of strengthening health-care services.

A new approach to Health Benefits Package design: an application of the Thanzi La Onse model in Malawi.

An efficient allocation of limited resources in low-income settings offers the opportunity to improve population-health outcomes given the available health system capacity. Efforts to achieve this are often framed through the lens of "health benefits packages" (HBPs), which seek to establish which services the public healthcare system should include in its provision. Analytic approaches widely used to weigh evidence in support of different interventions and inform the broader HBP deliberative process however have limitations.

Health workforce needs in Malawi: analysis of the Thanzi La Onse integrated epidemiological model of care.

Background: To make the best use of health resources, it is crucial to understand the healthcare needs of a population-including how needs will evolve and respond to changing epidemiological context and patient behaviour-and how this compares to the capabilities to deliver healthcare with the existing workforce. Existing approaches to planning either rely on using observed healthcare demand from a fixed historical period or using models to estimate healthcare needs within a narrow domain (e.g.

Using economic analysis to inform health resource allocation: lessons from Malawi.

Despite making remarkable strides in improving health outcomes, Malawi faces concerns about sustaining the progress achieved due to limited fiscal space and donor dependency. The imperative for efficient health spending becomes evident, necessitating strategic allocation of resources to areas with the greatest impact on mortality and morbidity. Health benefits packages hold promise in supporting efficient resource allocation.

Factors associated with medical consumable availability in level 1 facilities in Malawi: a secondary analysis of a facility census.

Background: Medical consumable stock-outs negatively affect health outcomes not only by impeding or delaying the effective delivery of services but also by discouraging patients from seeking care. Consequently, supply chain strengthening is being adopted as a key component of national health strategies. However, evidence on the factors associated with increased consumable availability is limited.

The economic costs of orthopaedic services: a health system cost analysis of tertiary hospitals in a low-income country.

Background: Traumatic injuries are rising globally, disproportionately affecting low- and middle-income countries, constituting 88% of the burden of surgically treatable conditions. While contributing to the highest burden, LMICs also have the least availability of resources to address this growing burden effectively. Studies on the cost-of-service provision in these settings have concentrated on the most common traumatic injuries, leaving an evidence gap on other traumatic injuries.

Donor coordination to support universal health coverage in Malawi.

Development assistance is a major source of financing for health in least developed countries. However, persistent aid fragmentation has led to inefficiencies and health inequities and constrained progress towards Universal Health Coverage (UHC). Malawi is a case study for this global challenge, with 55% of total health expenditure funded by donors and fragmentation across 166 financing sources and 265 implementing partners.

The changes in health service utilisation in Malawi during the COVID-19 pandemic.

Introduction: The COVID-19 pandemic and the restriction policies implemented by the Government of Malawi may have disrupted routine health service utilisation. We aimed to find evidence for such disruptions and quantify any changes by service type and level of health care.

Methods: We extracted nationwide routine health service usage data for 2015-2021 from the electronic health information management systems in Malawi.

Service readiness for the management of non-communicable diseases in publicly financed facilities in Malawi: findings from the 2019 Harmonised Health Facility Assessment census survey.

Introduction: Non-communicable diseases (NCDs) are rising in low-income and middle-income countries, including Malawi. To inform policy-makers and planners on the preparedness of the Malawian healthcare system to respond to NCDs, we estimated NCD service readiness in publicly financed healthcare facilities in Malawi.

Methods: We analysed data from 564 facilities surveyed in the 2019 Harmonised Health Facility Assessment, including 512 primary healthcare (PHC) and 52 secondary and tertiary care (STC) facilities.

Modeling Contraception and Pregnancy in Malawi: A Thanzi La Onse Mathematical Modeling Study.

Malawi has high unmet need for contraception with a costed national plan to increase contraception use. Estimating how such investments might impact future population size in Malawi can help policymakers understand effects and value of policies to increase contraception uptake. We developed a new model of contraception and pregnancy using individual-level data capturing complexities of contraception initiation, switching, discontinuation, and failure by contraception method, accounting for differences by individual characteristics.

Revision of Malawi's Health Benefits Package: A Critical Analysis of Policy Formulation and Implementation.

Objectives: Health benefits packages (HBPs), which define specific health services that can be offered for free or at a reduced cost to fit within public revenues, have been recommended for over 30 years to maximize population health in resource-limited settings. However, there remain gaps in defining and operationalizing HBPs. We propose a combination of design and prioritization methods along with practical strategies to improve the implementation of future iterations of the HBP in Malawi.

Proposing the "Value- and Evidence-Based decision making and Practice" (VEDMAP) framework for Priority-Setting and knowledge translation in low and Middle-Income Countries: A novel framework for Decision-Making in Low-and middle income countries like Malawi.

The existence and availability of evidence on its own does not guarantee that the evidence will be demanded and used by decision and policy makers. Decision and policy-makers, especially in low-income settings, often confront ethical dilemmas about determining the best available evidence and its utilization. This dilemma can be in the form of conflict of evidence, scientific and ethical equipoise and competing evidence or interests.

Assessing the potential of HTA to inform resource allocation decisions in low-income settings: The case of Malawi.

Health technology assessment (HTA) offers a set of analytical tools to support health systems' decisions about resource allocation. Although there is increasing interest in these tools across the world, including in some middle-income countries, they remain rarely used in low-income countries (LICs). In general, the focus of HTA is narrow, mostly limited to assessments of efficacy and cost-effectiveness.

Estimating the health burden of road traffic injuries in Malawi using an individual-based model.

Background: Road traffic injuries are a significant cause of death and disability globally. However, in some countries the exact health burden caused by road traffic injuries is unknown. In Malawi, there is no central reporting mechanism for road traffic injuries and so the exact extent of the health burden caused by road traffic injuries is hard to determine.

Health Sector Resource Mapping in Malawi: Sharing the Collection and Use of Budget Data for Evidence-Based Decision Making.

Background: In 2011, the Ministry of Health in Malawi developed and institutionalized a resource-tracking process, known as resource mapping (RM), to collect information on planned funding flows across the health sector to support resource allocation and mobilization decisions. We analyze the RM process and tools and describe key uses of the data for health financing decision making to achieve universal health coverage (UHC).

Methods: We applied a case study approach, written as a collaboration between policy makers who have led the RM process in Malawi and the implementation team who have developed tools, collected data, and reported results over the period.

Allocating resources to support universal health coverage: development of a geographical funding formula in Malawi.

Background: Universal health coverage (UHC) requires that local health sector institutions-such as local authorities-are properly funded to fulfil their service delivery commitments. In this study, we examine how formula funding can align sub-national resource allocations with national priorities. This is illustrated by outlining alternative options for using mathematical formula to guide the allocation of national drug and service delivery budgets to district councils in Malawi in 2018/2019.

Allocating resources to support universal health coverage: policy processes and implementation in Malawi.

Optimising the use of limited health resources in low-income and middle-income countries towards the maximisation of health outcomes requires efficient distribution of resources across health services and geographical areas. While technical research exists on how efficiencies can be achieved in resource allocation, there is limited guidance on the policy processes required to convert these technical inputs into practicable solutions. In this article, we discuss Malawi's experience in 2019 of revising its resource allocation formula (RAF) for the geographical distribution of the government health sector budget to the decentralised units in-charge of delivering primary and secondary healthcare.