Spatial disparities in impoverishing effects of out-of-pocket health payments in Malawi.

BACKGROUND: Out-of-pocket health payments as a means of financing health services are a cause of concern among households in low and middle-income countries. They prevent households from accessing health care services, can disrupt households' living standards by reducing consumption of other basic needs and push households into poverty. Previous studies have reported geographical variations in impoverishing effects of out-of-pocket health payments. Yet, we know relatively little about spatial effects on impoverishing effects of health payments. OBJECTIVE: This paper assesses the factors associated with impoverishing effects of health payments and quantifies the role of districts spatial effects on impoverishment in Malawi. METHODS: The paper uses a cross sectional integrated household survey data collected from April 2016 to April 2017 among 12447 households in Malawi. Impoverishing effect of out-of-pocket health payments was calculated as the difference between poverty head count ratio before and after subtracting health payments from total household consumption expenditures. We assessed the factors associated with impoverishment and quantified the role of spatial effects using a spatial multilevel model. RESULTS: About 1.6% and 1.2% of the Malawian population were pushed below the national and international poverty line of US$1.90 respectively due health payments. We found significant spatial variations in impoverishment across districts with higher spatial residual effects clustering in central region districts. Higher socio-economic status (AOR=0.34, 95% CI=0.22-0.52) decreased the risk of impoverishment whereas hospitalizations (AOR=3.63, 95% CI 2.54-5.15), chronic illness (AOR=1.56, 95% CI=1.10-1.22), residency in rural area (AOR=2.03, 95% CI=1.07-4.26) increased the risk of impoverishment. CONCLUSIONS: Our study suggests the need to plan financial protection programs according to district specific needs and target the poor, residents of rural areas and those with chronic illnesses. Policy makers need to pay attention to the importance of spatial and neighborhood effects when designing financial protection programs and policies.

Decomposing socio-economic inequality in catastrophic out-of-pocket health expenditures in Malawi.

Reducing health inequalities and inequities is one of the key goals that health systems aspire to achieve as it ensures improvement in health outcomes among all population groups. Addressing the factors contributing to inequality in catastrophic health expenditures is important to reducing inequality in the burden of health expenditures. However, there are limited studies to explain the factors contributing to inequalities in catastrophic health expenditures. The study aimed to measure and decompose socio-economic inequality in catastrophic health into its determinants. Data for the analysis come from the fourth integrated household survey. Data for 12447 households in Malawi were collected from April 2016 to April 2017 by the National Statistical Office. The secondary analysis was conducted from June 2021 to October 2021. Catastrophic health expenditure was estimated as a proportion of households whose out-of-pocket health expenditures as a ratio of non-food consumption expenditures exceeds 40% threshold level. We estimated the magnitude of socio-economic inequality using the Erreygers corrected concentration index and used decomposition analysis to assess the contribution of inequality in each determinant of catastrophic health expenditure to the overall socio-economic inequality. The magnitude of the Erreygers corrected concentration index of catastrophic health expenditure (CI = 0.004) is small and positive which indicates that inequality is concentrated among the better-off. Inequality in catastrophic health expenditure is largely due to inequalities in rural residency (127%), socio-economic status (-40%), household size (14%), presence of a child under five years old (10%) and region of the household (10%). The findings indicate that socio-economic inequality in catastrophic health expenditures is concentrated among the better-off in Malawi. The results imply that policies that aim to reduce inequalities in catastrophic health expenditures should simultaneously address urban-rural and income inequalities.

Correction: Examining the incidence of catastrophic health expenditures and its determinants using multilevel logistic regression in Malawi.

[This corrects the article DOI: 10.1371/journal.pone.0248752.].

Examining the incidence of catastrophic health expenditures and its determinants using multilevel logistic regression in Malawi.

BACKGROUND: Despite a free access to public health services policy in most sub-Saharan African countries, households still contribute to total health expenditures through out-of-pocket expenditures. This reliance on out-of-pocket expenditures places households at a risk of catastrophic health expenditures and impoverishment. This study examined the incidence of catastrophic health expenditures, impoverishing effects of out-of-pocket expenditures on households and factors associated with catastrophic expenditures in Malawi. METHODS: We conducted a secondary analysis of the most recent nationally representative integrated household survey conducted by the National Statistical Office between April 2016 to 2017 in Malawi with a sample size of 12447 households. Catastrophic health expenditures were estimated based on household annual nonfood expenditures and total household annual expenditures. We estimated incidence of catastrophic health expenditures as the proportion of households whose out-of-pocket expenditures exceed 40% threshold level of non-food expenditures and 10% of total annual expenditures. Impoverishing effect of out-of-pocket health expenditures on households was estimated as the difference between poverty head count before and after accounting for household health payments. We used a multilevel binary logistic regression model to assess factors associated with catastrophic health expenditures. RESULTS: A total of 167 households (1.37%) incurred catastrophic health expenditures. These households on average spend over 52% of household nonfood expenditures on health care. 1.6% of Malawians are impoverished due to out-of-pocket health expenditures. Visiting a religious health facility (AOR = 2.27,95% CI:1.24-4.15), hospitalization (AOR = 6.03,95% CI:4.08-8.90), larger household size (AOR = 1.20,95% CI:1.24-1.34), higher socioeconomic status (AOR = 2.94,95% CI:1.39-6.19), living in central region (AOR = 3.54,95% CI:1.79-6.97) and rural areas (AOR = 5.13,95% CI:2.14-12.29) increased the odds of incurring catastrophic expenditures. CONCLUSION: The risk of catastrophic health expenditures and impoverishment persists in Malawi. This calls for government to improve the challenges faced by the free public health services and design better prepayment mechanisms to protect more vulnerable groups of the population from the burden of out-of-pocket payments.

Assessment of implementation of the health management information system at the district level in southern Malawi.

Background: Despite Malawi's introduction of a health management information system (HMIS) in 1999, the country's health sector still lacks accurate, reliable, complete, consistent and timely health data to inform effective planning and resource management. Methods: A cross-sectional survey was conducted wherein qualitative and quantitative data were collected through in-depth interviews, document review, and focus group discussions. Study participants comprised 10 HMIS officers and 10 district health managers from 10 districts in the Southern Region of Malawi. The study was conducted from March to April 2012. Quantitative data were analysed using Microsoft Excel and qualitative data were summarised and analysed using thematic analysis. Results: The study established that, based on the Ministry of Health's minimum requirements, 1 out of 10 HMIS officers was qualified for the post. The HMIS officers stated that HMIS data collectors from the district hospital, health facilities, and the community included medical assistants, nurse-midwives, statistical clerks, and health surveillance assistants. Challenges with the system included inadequate resources, knowledge gaps, inadequacy of staff, and lack of training and refresher courses, which collectively contribute to unreliable information and therefore poorly informed decision-making, according to the respondents. The HMIS officers further commented that missing values arose from incomplete registers and data gaps. Furthermore, improper comprehension of some terms by health surveillance assistants (HSAs) and statistical clerks led to incorrectly recorded data. Conclusions: The inadequate qualifications among the diverse group of data collectors, along with the varying availability and utilisation different data collection tools, contributed to data inaccuracies. Nevertheless, HMIS was useful for the development of District Implementation Plans (DIPs) and planning for other projects. To reduce data inconsistencies, HMIS indicators should be revised and data collection tools should be harmonised.

Care-Seeking for Diarrhoea in Southern Malawi: Attitudes, Practices and Implications for Diarrhoea Control.

This paper examined care-seeking behaviour and its associated risk factors when a family member had diarrhoea. Data was obtained from a survey conducted in Chikwawa, a district in Southern Malawi. Chikwawa is faced with a number of environmental and socioeconomic problems and currently diarrhoea morbidity in the district is estimated at 24.4%, statistically higher than the national average of 17%. Using hierarchically built data from a survey of 1403 households nested within 33 communities, a series of two level binary logistic regression models with Bayesian estimation were used to determine predictors of care-seeking behaviour. The results show that 68% of mothers used oral rehydration solutions (ORS) the last time a child in their family had diarrhoea. However, when asked on the action they take when a member of their household has diarrhoea two thirds of the mothers said they visit a health facility. Most respondents (73%) mentioned distance and transport costs as the main obstacles to accessing their nearest health facility and the same proportion of respondents mentioned prolonged waiting time and absence of health workers as the main obstacles encountered at the health facilities. The main predictor variables when a member of the family had diarrhoea were maternal age, distance to the nearest health facility, school level, and relative wealth, household diarrhoea endemicity, and household size while the main predictor variables when a child had diarrhoea were existence of a village health committee (VHC), distance to the nearest health facility, and maternal age. Most households use ORS for the treatment of diarrhoea and village health committees and health surveillance assistants (HSAs) are important factors in this choice of treatment. Health education messages on the use and efficacy of ORS to ensure proper and prescribed handling are important. There is need for a comprehensive concept addressing several dimensions of management and proper coordination of delivery of resources and services; availability of adequate healthcare workers at all levels; affordability to accessibility of healthcare resources and services to all communities; acceptability and quality of care; intensification of health education messages on the use and management of ORS, and prompt and timely treatment of diarrhoeal illness.

The Pattern of Variation between Diarrhea and Malaria Coexistence with Corresponding Risk Factors in, Chikhwawa, Malawi: A Bivariate Multilevel Analysis.

Developing countries face a huge burden of infectious diseases, a number of which co-exist. This paper estimates the pattern and variation of malaria and diarrhea coexistence in Chikhwawa, a district in Southern Malawi using bivariate multilevel modelling with Bayesian estimation. A probit link was employed to examine hierarchically built data from a survey of individuals (n = 6,727) nested within households (n = 1,380) nested within communities (n = 33). Results show significant malaria [σ²µ1=0.901 (95% CI:0.746,1.056)] and diarrhea [σ²µ2=1.009 (95% CI:0.860,1.158)] variations with a strong correlation between them [r(¹,²)µ=0.565] at household level. There are significant malaria [σ²ν1=0.053 (95% CI: 0.018,0.088)] and diarrhea [σ²ν2=0.099(95% CI : 0.030,0.168) ] variations at community level but with a small correlation [r(¹,²) ν=0.124] between them. There is also significant correlation between malaria and diarrhea at individual level [ r(¹,²) e=0.241]. These results suggest a close association between reported malaria-like illness and diarrheal illness especially at household and individual levels in Southern Malawi.

Spatial quantile regression using INLA with applications to childhood overweight in Malawi.

Analyses of childhood overweight have mainly used mean regression. However, using quantile regression is more appropriate as it provides flexibility to analyse the determinants of overweight corresponding to quantiles of interest. The main objective of this study was to fit a Bayesian additive quantile regression model with structured spatial effects for childhood overweight in Malawi using the 2010 Malawi DHS data. Inference was fully Bayesian using R-INLA package. The significant determinants of childhood overweight ranged from socio-demographic factors such as type of residence to child and maternal factors such as child age and maternal BMI. We observed significant positive structured spatial effects on childhood overweight in some districts of Malawi. We recommended that the childhood malnutrition policy makers should consider timely interventions based on risk factors as identified in this paper including spatial targets of interventions.

Knowledge, awareness and practice of the importance of hand-washing amongst children attending state run primary schools in rural Malawi.

A study was undertaken to determine the efficacy of hygiene practices in 2 primary schools in Malawi. The study determined: (1) presence of Escherichia coli on the hands of 126 primary school pupils, (2) knowledge, awareness and hygiene practices amongst pupils and teachers and (3) the school environment through observation. Pupil appreciation of hygiene issues was reasonable; however, the high percentage presence of E. coli on hands (71%) and the evidence of large-scale open defaecation in school grounds revealed that apparent knowledge was not put into practice. The standard of facilities for sanitation and hygiene did not significantly impact on the level of knowledge or percentage of school children's hands harbouring faecal bacteria. Evidence from pupils and teachers indicated a poor understanding of principles of disease transmission. Latrines and hand-washing facilities constructed were not child friendly. This study identifies a multidisciplinary approach to improve sanitation and hygiene practices within schools.

Pattern of maternal knowledge and its implications for diarrhoea control in Southern Malawi: multilevel thresholds of change analysis.

A survey was conducted in Southern Malawi to examine the pattern of mothers' knowledge on diarrhoea. Diarrhoea morbidity in the district is estimated at 24.4%, statistically higher than the national average at 17%. Using hierarchically built data from a survey, a multilevel threshold of change analysis was used to determine predictors of knowledge about diarrhoeal aetiology, clinical features, and prevention. The results show a strong hierarchical structured pattern in overall maternal knowledge revealing differences between communities. Responsible mothers with primary or secondary school education were more likely to give more correct answers on diarrhoea knowledge than those without any formal education. Responsible mothers from communities without a health surveillance assistant were less likely to give more correct answers. The results show that differences in diarrhoeal knowledge do exist between communities and demonstrate that basic formal education is important in responsible mother's understanding of diseases. The results also reveal the positive impact health surveillance assistants have in rural communities.

Community Knowledge Variation; Bed-Net Coverage and the Role of a District Healthcare System; and their Implications for Malaria Control in Southern Malawi

This paper presents data on the pattern of knowledge of caregivers; bed-net coverage and the role of a rural district healthcare system; and their implications for malaria transmission; treatment; prevention and control in Chikhwawa; southern Malawi; using multi-level logistic regression modelling with Bayesian estimation. The majority of caregivers could identify the main symptoms of malaria; that the mosquito was the vector; and that insecticide-treated nets (ITN) could be used to cover beds as an effective preventative measure; although cost was a prohibitive factor. Use of bed nets displayed significant variation between communities. Groups that were more knowledgeable on malaria prevention and symptoms included young mothers; people who had attended school; wealthy individuals; those residing closest to government hospitals and health posts; and communities that had access to a health surveillance assistant (HSA). HSAs should be trained on malaria intervention programmes; and tasked with the responsibility of working with village health committees to develop community-based malaria intervention programmes. These programmes should include appropriate and affordable household improvement methods; identification of high-risk groups; distribution of ITNs and the incorporation of larval control measures; to reduce exposure to the vector and parasite. This would reduce the transmission and prevalence of malaria at community level

Household and community variations and nested risk factors for diarrhoea prevalence in southern Malawi: a binary logistic multi-level analysis.

This paper examines household and community-level influences on diarrhoeal prevalence in southern Malawi. A Bayesian multi-level modelling technique is used in the estimation of hierarchically built data from a survey of individuals nested within households nested within communities. Households have strong unobserved influence on diarrhoeal illness (sigma(2)(u) = 4.476; 95% CI: 2.081, 6.871). A joint Wald test of significance shows that an individual's age [chi(2)(4) = 55.921, p = 0.000] and school [chi(2)(2) = 18.203, p = 0.000] have strong influence on an individual's diarrhoeal prevalence. An individual's history of malarial-like illness also has a strong positive relationship with diarrhoeal prevalence [beta = 0.606, p = 0.000]. Household factors that influence diarrhoea include employment status of head of household [beta = -0.619, p < 0.021], maternal age [beta = -0.013, p < 0.003], and size of household [beta = -0.669, p = 0.000]. The positive relationship between diarrhoea and malaria-like episodes highlights common risk factors hence the need for common approaches to combat the diseases. Significant household effects underline the importance of household considerations in policy issues.

Care-Seeking Behaviour and Implications for Malaria Control in Southern Malawi

Abstract:Although malaria is a controllable and preventable disease; it remains among the leading causes of mortality and morbidity in southern Malawi. The importance of early diagnosis and prompt treatment with hospital prescribed drugs and effective home management to control malaria is well established; however; these in part depend on how households make their decisions when family members have suffered from malaria. This study examines the behaviour of households with regard to decisions they make in managing malaria illness. Using hierarchically built data from a survey of 1;400 mothers nested within 33 communities; a series of two-level logistic regression models with Bayesian estimation was used to determine predictors of care-seeking behaviour towards malaria when a family member or a child was perceived to have malaria. The results show that most families normally visit or use medication prescribed at health facilities for both adult (80) and child (86) members when they are perceived to have malaria. The main obstacle to accessing the nearest health facility was distance and transport costs (73) and the main problems encountered at health facilities were long waiting time or absence of health workers (73) and shortage of drugs (35). Among the main predictor variables for choices of treatment for childhood malaria was the absence of a health surveillance assistant for those that visited hospitals [?=0.56; 95 CI:-0.86;-0.26]; bought medication from open markets [?=0.51; 95 CI:0.20;0.82]; and those that used other traditional methods or did nothing [?=0.70; 95