Impact of contact tracing, respect of isolation, and lockdown in reducing the number of cases infected with COVID-19. Case study: Tunisia's response from March 22 to May 4, 2020.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has spread rapidly across the world. Tunisia reacted early to COVID-19, resulting in a low number of infections during the first wave of the pandemic. This study was performed to model the effects of different interventions on the evolution of cases and to compare these with the Tunisian experience. METHODS: A stochastic transmission model was used to quantify the reduction in number of cases of COVID-19 with the interventions of contact tracing, compliance with isolation, and a general lockdown. RESULTS: In the model, increasing contact tracing from 20% to 80% after the first 100 cases reduced the cumulative number of infections (CNI) by 52% in 1 month. Similarly, increased compliance with isolation from 20% to 80% after the first 100 cases reduced the CNI by 45%. These reductions were smaller if the interventions were implemented after 1000 cases. A general lockdown reduced the CNI by 97% after the first 100 cases. Tunisia implemented its general lockdown after 75 cases were confirmed, which reduced the cumulative number of infected cases by 86% among the general population. CONCLUSIONS: This study shows that the early application of critical interventions contributes significantly to reducing infections and the evolution of COVID-19 in a country. Tunisia's early success with the control of COVID-19 is explained by its quick response.

Pooling arrangements in health financing systems: a proposed classification.

OBJECTIVES: The function of pooling and the ways that countries organize this is critical for countries' progress towards universal health coverage, but its potential as a policy instrument has not received much attention. We provide a simple classification of country pooling arrangements and discuss the specific ways that fragmentation manifests in each and the typical challenges with respect to universal health coverage objectives associated. This can help countries assess their pooling setup and contribute to identifying policy options to address fragmentation or mitigate its consequences. METHODS: The paper is based on a review of published and grey literature in PubMed, Google and Google Scholar and our information gathered from our professional work in countries on health financing policies. We examined the nature and structure of pooling in more than 100 countries across all income groups to develop the classification. FINDINGS: We propose eight broad types of pooling arrangements: (1.) a single pool; (2.) territorially distinct pools; (3.) territorially overlapping pools in terms of service and population coverage; (4.) different pools for different socio-economic groups with population segmentation; (5.) different pools for different population groups, with explicit coverage for all; (6.) multiple competing pools with risk adjustment across the pools; and in combination with types (1.)-(6.), (7.) fragmented systems with voluntary health insurance, duplicating publicly financed coverage; and (8.) complementary or supplementary voluntary health insurance. However, we recognize that any classification is a simplification of reality and does not substitute for a country-specific analysis of pooling arrangements. CONCLUSION: Pooling arrangements set the potential for redistributive health spending. The extent to which the potential redistributive and efficiency gains established by a particular pooling arrangement are realized in practice depends on its interaction and alignment with the other health financing functions of revenue raising and purchasing, including the links between pools and the service benefits and populations they cover.

Inputs for universal health coverage: a methodological contribution to finding proxy indicators for financial hardship due to health expenditure.

BACKGROUND: Universal health coverage is high on national health agendas of many countries at the moment. Absence of financial hardship is a key component of universal health coverage and should be monitored regularly. However, relevant household survey data, which is traditionally needed for this analysis is not frequently collected in most countries and in some countries, has not been collected at all. As such, proxy indicators for financial hardship would be very useful. METHODS: We use data from the World Health Survey and use multi-level modeling with national and household level characteristics to see which indicators have a consistent and robust relationship with financial hardship. To strengthen the validity of our findings, we also use different measures of financial hardship. RESULTS: There are several household level characteristics that seem to have a consistent relationship with financial hardship. However there is only one strong candidate for a proxy indicator at the national level- the share of out-of-pocket payments in total health expenditure. Additionally, the Gini coefficient of total household expenditure was also correlated to financial hardship in most of our models. CONCLUSION: The national level indicators related only weakly to the risk of financial hardship. Hence, there should not be an over-reliance on them and collecting good quality household survey data is still a superior option for monitoring financial hardship.

Financial risk protection and universal health coverage: evidence and measurement challenges.

Financial risk protection is a key component of universal health coverage (UHC), which is defined as access to all needed quality health services without financial hardship. As part of the PLOS Medicine Collection on measurement of UHC, the aim of this paper is to examine and to compare and contrast existing measures of financial risk protection. The paper presents the rationale behind the methodologies for measuring financial risk protection and how this relates to UHC as well as some empirical examples of the types of measures. Additionally, the specific challenges related to monitoring inequalities in financial risk protection are discussed. The paper then goes on to examine and document the practical challenges associated with measurement of financial risk protection. This paper summarizes current thinking on the area of financial risk protection, provides novel insights, and suggests future developments that could be valuable in the context of monitoring progress towards UHC.

The financial burden from non-communicable diseases in low- and middle-income countries: a literature review.

Non-communicable diseases (NCDs) were previously considered to only affect high-income countries. However, they now account for a very large burden in terms of both mortality and morbidity in low- and middle-income countries (LMICs), although little is known about the impact these diseases have on households in these countries. In this paper, we present a literature review on the costs imposed by NCDs on households in LMICs. We examine both the costs of obtaining medical care and the costs associated with being unable to work, while discussing the methodological issues of particular studies. The results suggest that NCDs pose a heavy financial burden on many affected households; poor households are the most financially affected when they seek care. Medicines are usually the largest component of costs and the use of originator brand medicines leads to higher than necessary expenses. In particular, in the treatment of diabetes, insulin--when required--represents an important source of spending for patients and their families. These financial costs deter many people suffering from NCDs from seeking the care they need. The limited health insurance coverage for NCDs is reflected in the low proportions of patients claiming reimbursement and the low reimbursement rates in existing insurance schemes. The costs associated with lost income-earning opportunities are also significant for many households. Therefore, NCDs impose a substantial financial burden on many households, including the poor in low-income countries. The financial costs of obtaining care also impose insurmountable barriers to access for some people, which illustrates the urgency of improving financial risk protection in health in LMIC settings and ensuring that NCDs are taken into account in these systems. In this paper, we identify areas where further research is needed to have a better view of the costs incurred by households because of NCDs; namely, the extension of the geographical scope, the inclusion of certain diseases hitherto little studied, the introduction of a time dimension, and more comparisons with acute illnesses.

General budget support: has it benefited the health sector?

There has been recent controversy about whether aid directed specifically to health has caused recipient governments to reallocate their own funds to non-health areas. At the same time, general budget support (GBS) has been increasing. GBS allows governments to set their own priorities, but little is known about how these additional resources are subsequently used. This paper uses cross-country panel data to assess the impact of GBS programmes on health spending in low-income and middle-income countries, using dynamic panel techniques to estimate unbiased coefficients in the presence of serial correlation. We found no clear evidence that GBS had any impact, positive or negative, on government health spending derived from domestic sources. GBS also had no observed impact on total government health spending from all sources (external as well as domestic). In contrast, health-specific aid was associated with a decline in health expenditures from domestic sources, but there was not a full substitution effect. That is, despite this observed fungibility, health-specific aid still increases total government health spending from all sources. Finally, increases in total government expenditure led to substantial increases in domestic government health expenditures.

Financial burden of household out-of pocket health expenditure in Viet Nam: findings from the National Living Standard Survey 2002-2010.

In Viet Nam, household direct out-of-pocket (OOP) health expenditure as a share of the total health expenditure has been always high, ranging from 50% to 70%. The high share of OOP expenditure has been linked to different inequity problems such as catastrophic health expenditure (households must reduce their expenditure on other necessities) and impoverishment. This paper aims to examine catastrophic and poverty impacts of household out-of-pocket health expenditure in Viet Nam over time and identify socio-economic indicators associated with them. Data used in this research were obtained from a nationally representative household survey, Viet Nam Living Standard Survey 2002, 2004, 2006, 2008 and 2010. The findings revealed that there were problems in health care financing in Viet Nam - many households encountered catastrophic health expenditure and/or were pushed into poverty due to health care payments. The issues were pervasive over time. Catastrophic expenditure and impoverishment problems were more common among the households who had more elderly people and those located in rural areas. Importantly, the financial protection aspect of the national health insurance schemes was still modest. Given these findings, more attention is needed on developing methods of financial protection in Viet Nam.

Utilization and expenditure at public and private facilities in 39 low-income countries.

OBJECTIVE: To document the patterns of health service utilization and health payments at public and private facilities across countries. METHOD: We used data from the World Health Surveys from 39 low- and low-middle income countries to examine differences between public and private sectors. Utilization of outpatient and inpatient services, out-of-pocket payments (OOP) at public and private facilities, and transportation costs were compared. RESULTS: Utilization and payments to public and private sectors differ widely. Public facilities dominated in most countries for both outpatient and inpatient services. But, whereas use of private facilities is more common among the rich, poor people also use them, to a considerable extent and in almost all the countries in the study. The majority of OOP were incurred at public providers for inpatient services. On average, this was not the case for outpatient services. Medicines accounted for the largest share of OOP for all services except inpatient services at private facilities, where consultation fees did. Transportation costs were considerable. Price competition is certainly not the only factor that guides choice of provider. CONCLUSIONS: The results support continued efforts by the governments to engage strategically with the private sector. However, they also highlight the importance of not generalizing conditions across countries. Governments may need to reconsider simplistic user-fee abolition strategies at public providers if they simply focus on consultation fees. Policies to make health services more accessible need to consider a comprehensive benefit package that includes a wider scope of costs related to care such as expenditures on medicines and transportation.

Validity and comparability of out-of-pocket health expenditure from household surveys: a review of the literature and current survey instruments

The study presents the investigation of the current evidence on measurement errors in self-reported household expenditure and health expenditure, based on reviewing the existing studies and literature.

Mutual health insurance in Rwanda: evidence on access to care and financial risk protection.

OBJECTIVE: Rwanda has expanded mutual health insurance considerably in recent years, which has a great potential for making health services more accessible. In this paper, we examine the effect of mutual health insurance (MHI) on utilization of health services and financial risk protection. METHODS: We used data from a nationally representative survey from 2005-2006. We analysed this data through summary statistics as well as regression models. FINDINGS: Our statistical modelling shows that MHI coverage is associated with significantly increased utilization of health services. Indeed, individuals in households that had MHI coverage used health services twice as much when they were ill as those in households that had no insurance coverage. Additionally, MHI is also associated with a higher degree of financial risk protection and the incidence of catastrophic health expenditure was almost four times less than in households with no coverage. Nonetheless, the limitations of the MHI coverage also become apparent. CONCLUSION: These promising results indicate that MHI has had a strong positive impact on access to health care and can continue to improve health of Rwandans even more if its limitations are addressed further.

Patient costs for paediatric hospital admissions in Tanzania: a neglected burden?

OBJECTIVE: Tanzania has a policy of free provision of inpatient care for young children in order to promote timely access and thus reduce the current levels of mortality. However, little is known about out-of-pocket costs that may be incurred by families in seeking care for sick children. We conducted this study to identify the magnitude of these costs in relation to family income. METHODS: Five hundred and ten caretakers were interviewed on the day of discharge of their child from 11 hospitals in north-east Tanzania. Caretakers were asked to report expenditure related to hospitalization in various categories and family wealth was assessed through reported expenditure in the previous month. RESULTS: Food (mean US$2.2, median US$1.6), transport (mean US$1.7, median US$0) and medicines (mean US$1.0, median US$0.4) were the leading categories of expenditure, and overall the mean out-of-pocket expenditure was US$5.5 (median US$3.7) per admission. Mean out-of-pocket expenditure was more than 1.5 times higher for households in the highest monthly expenditure quintile compared with those in the lowest. However, this differential was reversed when expenditure was considered as a proportion of family expenditure in the previous month; for the lowest quintile, families spent more than three-quarters of their total monthly expenditure on a single paediatric admission. CONCLUSION: Out-of-pocket expenditure on child hospitalization places a considerable burden on poor families. Our findings justify a closer scrutiny of how this expenditure could be reduced, particularly through the provision of adequate food for both children and caretakers and through reducing stock-outs of essential medicines.