Variation in the quality and out-of-pocket cost of treatment for childhood malaria, diarrhoea, and pneumonia: Community and facility based care in rural Uganda

Uptake of community health care provision by community health entrepreneurs for febrile illness and diarrhoea: a cross-sectional survey in rural communities in Bunyangabu district, Uganda

OBJECTIVE

To assess the uptake of services provided by community health workers who were trained as community health entrepreneurs (CHEs) for febrile illness and diarrhoea.

DESIGN

A cross-sectional survey among households combined with mapping of all providers of basic medicine and primary health services in the study area.

PARTICIPANTS

1265 randomly selected households in 15 rural villages with active CHEs.

SETTING

Bunyangabu district, Uganda.

OUTCOME MEASURES

We describe the occurrence and care sought for fever and diarrhoea in the last 3 months by age group in the households. Care provider options included: CHE, health centre or clinic (public or private), pharmacy, drug shop and other. Geographic Information Ssystem (GIS)-based geographical measures were used to map all care providers around the active CHEs.

RESULTS

Fever and diarrhoea in the last 3 months occurred most frequently in children under 5; 68% and 41.9%, respectively. For those who sought care, CHE services were used for fever among children under 5, children 5-17 and adults over 18 years of age in 34.7%, 29.9% and 25.1%, respectively. For diarrhoea among children under 5, children 5-17 and adults over 18 years of age, CHE services were used in 22.1%, 19.5% and 7.0%, respectively. For those who did not seek care from a CHE (only), drug shops were most frequently used services for both fever and diarrhoea, followed by health centres or private clinics. Many households used a combination of services, which was possible given the high density and diversity of providers found in the study area.

CONCLUSIONS

CHEs play a considerable role in providing care in rural areas where they are active. The high density of informal drug shops and private clinics highlights the need for clarity on the de facto roles played by different providers in both the public and private sector to improve primary healthcare.

Improving outcomes for children with malaria, diarrhoea and pneumonia in Mozambique: A cluster randomised controlled trial of the inSCALE technology innovation

BACKGROUND

The majority of post-neonatal deaths in children under 5 are due to malaria, diarrhoea and pneumonia (MDP). The WHO recommends integrated community case management (iCCM) of these conditions using community-based health workers (CHW). However iCCM programmes have suffered from poor implementation and mixed outcomes. We designed and evaluated a technology-based (mHealth) intervention package 'inSCALE' (Innovations At Scale For Community Access and Lasting Effects) to support iCCM programmes and increase appropriate treatment coverage for children with MDP.

METHODS

This superiority cluster randomised controlled trial allocated all 12 districts in Inhambane Province in Mozambique to receive iCCM only (control) or iCCM plus the inSCALE technology intervention. Population cross-sectional surveys were conducted at baseline and after 18 months of intervention implementation in approximately 500 eligible households in randomly selected communities in all districts including at least one child less than 60 months of age where the main caregiver was available to assess the impact of the intervention on the primary outcome, the coverage of appropriate treatment for malaria, diarrhoea and pneumonia in children 2-59months of age. Secondary outcomes included the proportion of sick children who were taken to the CHW for treatment, validated tool-based CHW motivation and performance scores, prevalence of cases of illness, and a range of secondary household and health worker level outcomes. All statistical models accounted for the clustered study design and variables used to constrain the randomisation. A meta-analysis of the estimated pooled impact of the technology intervention was conducted including results from a sister trial (inSCALE-Uganda).

FINDINGS

The study included 2740 eligible children in control arm districts and 2863 children in intervention districts. After 18 months of intervention implementation 68% (69/101) CHWs still had a working inSCALE smartphone and app and 45% (44/101) had uploaded at least one report to their supervising health facility in the last 4 weeks. Coverage of the appropriate treatment of cases of MDP increased by 26% in the intervention arm (adjusted RR 1.26 95% CI 1.12-1.42, p<0.001). The rate of care seeking to the iCCM-trained community health worker increased in the intervention arm (14.4% vs 15.9% in control and intervention arms respectively) but fell short of the significance threshold (adjusted RR 1.63, 95% CI 0.93-2.85, p = 0.085). The prevalence of cases of MDP was 53.5% (1467) and 43.7% (1251) in the control and intervention arms respectively (risk ratio 0.82, 95% CI 0.78-0.87, p<0.001). CHW motivation and knowledge scores did not differ between intervention arms. Across two country trials, the estimated pooled effect of the inSCALE intervention on coverage of appropriate treatment for MDP was RR 1.15 (95% CI 1.08-1.24, p <0.001).

INTERPRETATION

The inSCALE intervention led to an improvement in appropriate treatment of common childhood illnesses when delivered at scale in Mozambique. The programme will be rolled out by the ministry of health to the entire national CHW and primary care network in 2022-2023. This study highlights the potential value of a technology intervention aimed at strengthening iCCM systems to address the largest causes of childhood morbidity and mortality in sub-Saharan Africa.

Glucose-6-Phosphate Dehydrogenase (G6PD) Measurement Using Biosensors by Community-Based Village Malaria Workers and Hospital Laboratory Staff in Cambodia: A Quantitative Study

Vivax malaria can relapse after an initial infection due to dormant liver stages of the parasite. Radical cure can prevent relapses but requires the measurement of glucose-6-phosphate dehydrogenase enzyme (G6PD) activity to identify G6PD-deficient patients at risk of drug-induced haemolysis. In the absence of reliable G6PD testing, vivax patients are denied radical curative treatment in many places, including rural Cambodia. A novel Biosensor, ‘G6PD Standard’ (SD Biosensor, Republic of Korea; Biosensor), can measure G6PD activity at the point of care. The objectives of this study were to compare the G6PD activity readings using Biosensors by village malaria workers (VMWs) and hospital-based laboratory technicians (LTs), and to compare the G6PD deficiency categorization recommended by the Biosensor manufacturer with categories derived from a locally estimated adjusted male median (AMM) in Kravanh district, Cambodia. Participants were enrolled between 2021 and 2022 in western Cambodia. Each of the 28 VMWs and 5 LTs received a Biosensor and standardized training on its use. The G6PD activities of febrile patients identified in the community were measured by VMWs; in a subset, a second reading was done by LTs. All participants were tested for malaria by rapid diagnostic test (RDT). The adjusted male median (AMM) was calculated from all RDT-negative participants and defined as 100% G6PD activity. VMWs measured activities in 1344 participants. Of that total, 1327 (98.7%) readings were included in the analysis, and 68 of these had a positive RDT result. We calculated 100% activity as 6.4U/gHb (interquartile range: 4.5 to 7.8); 9.9% (124/1259) of RDT-negative participants had G6PD activities below 30%, 15.2% (191/1259) had activities between 30% and 70%, and 75.0% (944/1259) had activities greater than 70%. Repeat measurements among 114 participants showed a significant correlation of G6PD readings (rs = 0.784, p < 0.001) between VMWs and LTs. Based on the manufacturer’s recommendations, 285 participants (21.5%) had less than 30% activity; however, based on the AMM, 132 participants (10.0%) had less than 30% activity. The G6PD measurements by VMWs and LTs were similar. With the provisions of training, supervision, and monitoring, VMWs could play an important role in the management of vivax malaria, which is critical for the rapid elimination of malaria regionally. Definitions of deficiency based on the manufacturer’s recommendations and the population-specific AMM differed significantly, which may warrant revision of these recommendations.

Costs of treating childhood malaria, diarrhoea and pneumonia in rural Mozambique and Uganda

Background

Globally, nearly half of all deaths among children under the age of 5 years can be attributed to malaria, diarrhoea, and pneumonia. A significant proportion of these deaths occur in sub-Saharan Africa. Despite several programmes implemented in sub-Saharan Africa, the burden of these illnesses remains persistently high. To mobilise resources for such programmes it is necessary to evaluate their costs, costs-effectiveness, and affordability. This study aimed to estimate the provider costs of treating malaria, diarrhoea, and pneumonia among children under the age of 5 years in routine settings at the health facility level in rural Uganda and Mozambique.

Methods

Service and cost data was collected from health facilities in midwestern Uganda and Inhambane province, Mozambique from private and public health facilities. Financial and economic costs of providing care for childhood illnesses were investigated from the provider perspective by combining a top-down and bottom-up approach to estimate unit costs and annual total costs for different types of visits for these illnesses. All costs were collected in Ugandan shillings and Mozambican meticais. Costs are presented in 2021 US dollars.

Results

In Uganda, the highest number of outpatient visits were for children with uncomplicated malaria and of inpatient admissions were for respiratory infections, including pneumonia. The highest unit cost for outpatient visits was for pneumonia (and other respiratory infections) and ranged from $0.5 to 2.3, while the highest unit cost for inpatient admissions was for malaria ($19.6). In Mozambique, the highest numbers of outpatient and inpatient admissions visits were for malaria. The highest unit costs were for malaria too, ranging from $2.5 to 4.2 for outpatient visits and $3.8 for inpatient admissions. The greatest contributors to costs in both countries were drugs and diagnostics, followed by staff.

Conclusions

The findings highlighted the intensive resource use in the treatment of malaria and pneumonia for outpatient and inpatient cases, particularly at higher level health facilities. Timely treatment to prevent severe complications associated with these illnesses can also avoid high costs to health providers, and households.

Trial registration: ClinicalTrials.gov, identifier: NCT01972321.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12936-022-04254-y.

Machine learning predictive modelling for identification of predictors of acute respiratory infection and diarrhoea in Uganda's rural and urban settings

Despite the widely known preventive interventions, the dyad of acute respiratory infections (ARI) and diarrhoea remain among the top global causes of mortality in under- 5 years. Studies on child morbidity have enormously applied "traditional" statistical techniques that have limitations in handling high dimension data, which leads to the exclusion of some variables. Machine Learning (ML) models appear to perform better on high dimension data (dataset with the number of features p (usually correlated) larger than the number of observations N). Using Uganda's 2006-2016 DHS pooled data on children aged 6-59 months, I applied ML techniques to identify rural-urban differentials in the predictors of child's diarrhoea and ARI. I also used ML to identify other omitted variables in the current child morbidity frameworks. The predictors were grouped into four categories: child characteristics, maternal characteristics, household characteristics and immunisation. I used 90% of the datasets as a training sets (dataset used to fit (train) a prediction model), which were tested or validated (dataset (pseudo new) used for evaluating the performance of the model on a new dataset) on 10% and 30% datasets. The measure of prediction was based on a 10-fold cross-validation (resampling technique). The gradient-boosted machine (ML technique) was the best-selected model for the identification of the predictors of ARI (Accuracy: 100% -rural and 100%-urban) and diarrhoea (Accuracy: 70%-rural and 100%-urban). These factors relate to the household's structure and composition, which is characterised by poor hygiene and sanitation and poor household environments that make children more suspectable of developing these diseases; maternal socio-economic factors such as education, occupation, and fertility (birth order); individual risk factors such as child age, birth weight and nutritional status; and protective interventions (immunisation). The study findings confirm the notion that ARI and diarrhoea risk factors overlap. The results highlight the need for a holistic approach with multisectoral emphasis in addressing the occurrence of ARI and diarrhoea among children. In particular, the results provide an insight into the importance of implementing interventions that are responsive to the unique structure and composition of the household. Finally, alongside traditional models, machine learning could be applied in generating research hypotheses and providing insight into the selection of key variables that should be considered in the model.

Long-term quality of integrated community case management care for children in Bugoye Subcounty, Uganda: a retrospective observational study

OBJECTIVE

Integrated community case management (iCCM) of childhood illness in Uganda involves protocol-based care of malaria, pneumonia and diarrhoea for children under 5 years old. This study assessed volunteer village health workers' (VHW) ability to provide correct iCCM care according to the national protocol and change in their performance over time since initial training.

SETTING

VHWs affiliated with the Ugandan national programme provide community-based care in eight villages in Bugoye Subcounty, a rural area in Kasese District. The first cohort of VHWs began providing iCCM care in March 2013, the second cohort in July 2016.

PARTICIPANTS

All children receiving iCCM care in 18 430 clinical encounters occurring between April 2014 and December 2018.

PRIMARY AND SECONDARY OUTCOME MEASURES

The descriptive primary outcome measure was the proportion of patients receiving overall correct care, defined as adherence to the iCCM protocol for the presenting condition (hereafter quality of care). The analytic primary outcome was change in the odds of receiving correct care over time, assessed using logistic regression models with generalised estimating equations. Secondary outcome measures included a set of binary measures of adherence to specific elements of the iCCM protocol. Preplanned and final measures were the same.

RESULTS

Overall, VHWs provided correct care in 74% of clinical encounters. For the first cohort of VHWs, regression modelling demonstrated a modest increase in quality of care until approximately 3 years after their initial iCCM training (OR 1.022 per month elapsed, 95% CI 1.005 to 1.038), followed by a modest decrease thereafter (OR 0.978 per month, 95% CI 0.970 to 0.986). For the second cohort, quality of care was essentially constant over time (OR 1.007 per month, 95% CI 0.989 to 1.025).

CONCLUSION

Quality of care was relatively constant over time, though the trend towards decreasing quality of care after 3 years of providing iCCM care requires further monitoring.

Community health workers and health equity in low- and middle-income countries: systematic review and recommendations for policy and practice

Background

The deployment of Community Health Workers (CHWs) is widely promoted as a strategy for reducing health inequities in low- and middle-income countries (LMIC). Yet there is limited evidence on whether and how CHW programmes achieve this. This systematic review aimed to synthesise research findings on the following questions: (1) How effective are CHW interventions at reaching the most disadvantaged groups in LMIC contexts? and (2) What evidence exists on whether and how these programmes reduce health inequities in the populations they serve?

Methods

We searched six academic databases for recent (2014–2020) studies reporting on CHW programme access, utilisation, quality, and effects on health outcomes/behaviours in relation to potential stratifiers of health opportunities and outcomes (e.g., gender, socioeconomic status, place of residence). Quantitative data were extracted, tabulated, and subjected to meta-analysis where appropriate. Qualitative findings were synthesised using thematic analysis.

Results

One hundred sixty-seven studies met the search criteria, reporting on CHW interventions in 33 LMIC. Quantitative synthesis showed that CHW programmes successfully reach many (although not all) marginalized groups, but that health inequalities often persist in the populations they serve. Qualitative findings suggest that disadvantaged groups experienced barriers to taking up CHW health advice and referrals and point to a range of strategies for improving the reach and impact of CHW programmes in these groups. Ensuring fair working conditions for CHWs and expanding opportunities for advocacy were also revealed as being important for bridging health equity gaps.

Conclusion

In order to optimise the equity impacts of CHW programmes, we need to move beyond seeing CHWs as a temporary sticking plaster, and instead build meaningful partnerships between CHWs, communities and policy-makers to confront and address the underlying structures of inequity.

Trial registration

PROSPERO registration number CRD42020177333.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12939-021-01615-y.

Changing Perceptions of Rural Frontline Workers and Caregivers About Management of Childhood Diarrhea and Pneumonia Despite Several Inequities: The Nigraan Plus Trial in Pakistan

Purpose

Diarrhea and pneumonia greatly contribute to high childhood mortality in Pakistan. Frontline community health workers or the Lady Health Workers (LHWs) provide care at the doorstep of over 60% of Pakistan’s rural residents. Difficult terrain, lack of supplies, and inadequate supervision put these LHWs at an added disadvantage in the timely diagnosis and delivery of known treatment options to community caregivers (CCGs). This study aims to assess whether a supportive supervision intervention through Lady Health Supervisors (LHSs) using enhanced mentorship and written feedback cards have the potential to improve case management of childhood diarrhea and pneumonia.

Study Setting and Design

This perception-based qualitative inquiry nested within the Nigraan Plus trial included LHSs, LHWs, and CCGs as the participants. Twenty-two in-depth interviews (IDIs) and 16 focus group discussions (FGDs) were conducted before a supportive supervision intervention in 2017, and 10 FGDs were conducted in 2019 once the intervention concluded. Data were analyzed using manual content analysis.

Results

The perceived ability of LHWs and LHSs to describe the danger signs of diarrhea and pneumonia, classify dehydration and relate respiratory rate to the severity of pneumonia improved over time. Appropriate prescription of zinc in diarrhea and antibiotics in pneumonia was noted. Furthermore, CCGs’ trust in LHWs increased following the intervention, and they reported a growing inclination to contact LHWs as their first point of care. LHWs in the intervention arm were more satisfied with their job due to frequent supervisory visits and continuous feedback by LHSs.

Conclusion

Despite geographic, social, and economic inequities, supportive supervision has the potential to improve knowledge, practice, and skills of frontline health workers related to CCM of childhood diarrhea and pneumonia in disadvantaged rural communities. Additionally, the trust of CCGs in the health workers’ ability to manage such cases is also enhanced.

Cost-effectiveness analysis of integrated community case management delivery models utilizing drug sellers and community health workers for treatment of under-five febrile cases of malaria, pneumonia, diarrhoea in rural Uganda

Background

Malaria, pneumonia and diarrhoea continue to be the leading causes of death in children under the age of five years (U5) in Uganda. To combat these febrile illnesses, integrated community case management (iCCM) delivery models utilizing community health workers (CHWs) or drug sellers have been implemented. The purpose of this study is to compare the cost-effectiveness of delivering iCCM interventions via drug sellers versus CHWs in rural Uganda.

Methods

This study was a cost-effectiveness analysis to compare the iCCM delivery model utilizing drug sellers against the model using CHWs. The effect measure was the number of appropriately treated U5 children, and data on effectiveness came from a quasi-experimental study in Southwestern Uganda and the inSCALE cross-sectional household survey in eight districts of mid-Western Uganda. The iCCM interventions were costed using the micro-costing (ingredients) approach, with costs expressed in US dollars. Cost and effect data were linked together using a decision tree model and analysed using the Amua modelling software.

Results

The costs per 100 treated U5 children were US$591.20 and US$298.42 for the iCCM trained-drug seller and iCCM trained-CHW models, respectively, with 30 and 21 appropriately treated children in the iCCM trained-drug seller and iCCM trained-CHW models. When the drug seller arm (intervention) was compared to the CHW arm (control), an incremental effect of 9 per 100 appropriately treated U5 children was observed, as well as an incremental cost of US$292.78 per 100 appropriately treated children, resulting in an incremental cost-effectiveness ratio (ICER) of US$33.86 per appropriately treated U5 patient.

Conclusion

Since both models were cost-effective compared to the do-nothing option, the iCCM trained-drug seller model could complement the iCCM trained-CHW intervention as a strategy to increase access to quality treatment.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12936-021-03944-3.

The economic burden of pneumonia in children under five in Uganda

BACKGROUND

There were about 138 million new episodes of pneumonia and 0.9 million deaths globally in 2015. In Uganda, pneumonia was the fourth leading cause of death in children under five years of age in 2017-18. However, the economic burden of pneumonia, particularly for households and caregivers, is poorly documented.

AIM

To estimate the costs associated with an episode of pneumonia from the household, government, and societal perspectives.

METHODS

We selected 48 healthcare facilities from the public and private sector across all care levels (primary, secondary, and tertiary), based on the number of pneumonia episodes reported for 2015-16. Adult caregivers of children with pneumonia diagnosis at discharge were selected. Using an ingredient-based approach, we collected cost and utilization data from administrative databases, medical records, and patient caregiver surveys. Household costs included direct medical and non-medical costs, as well as indirect costs estimated through a human capital approach. All costs are presented in 2018 U.S. dollars.

RESULTS

The treatment of pneumonia puts a substantial economic burden on households. The average societal cost per episode of pneumonia across all sectors and types of visits was $42; hospitalized episodes costed an average of $62 per episode, while episodes only requiring ambulatory care was $16 per episode. Public healthcare facilities covered $12 and $7 on average per hospitalized or ambulatory episode, respectively. Caregivers using the public system faced lower out-of-pocket payments, evaluated at $17, than those who used private for-profit ($21) and not-for-profit ($50) for hospitalized care. For ambulatory care, out-of-pocket payments amounted to $8, $18, and $9 for public, private for-profit, and not-for-profit healthcare facilities, respectively. About 39% of households experienced catastrophic health expenditures due to out-of-pocket payments related to the treatment of pneumonia.

A cross-sectional study comparing case scenarios and record review to measure quality of Integrated Community Case Management care in western Uganda

BACKGROUND

In Integrated Community Case Management (iCCM), village health workers (VHW) assess and treat malaria, pneumonia and diarrhea using a clinical algorithm. Study objectives included: 1) Compare VHWs' performance on case scenario exercises to record review data; 2) assess impact of formal education on performance in the case scenario exercises.

METHODS

36 VHWs in Bugoye Subcounty, Uganda completed the case scenarios exercise, which included video case scenarios and brief oral case vignettes, between July 2017 and February 2018. We obtained clinical records for all iCCM encounters in the same time period.

RESULTS

In the video case scenarios, 45% of mock patients received all correct management steps (including all recommended education), while 94% received all critical management steps. Based on the level of data available from record review, 74% of patients in the record review dataset received overall correct management compared to 94% in the video case scenarios. In the case scenarios, VHWs with primary school education performed similarly to those with some or all secondary school education.

CONCLUSIONS

The case scenarios produced higher estimates of quality of care than record review. VHWs often omitted recommended health education topics in the case scenarios. Level of formal education did not appear to influence performance in the case scenarios.

"Even when people live just across the road…they won't go": Community health worker perspectives on incentivized delays to under-five care-seeking in urban slums of Kampala, Uganda

Background

Although under-five (U5) mortality in Uganda has dropped over the past two decades, rates in urban slum neighborhoods remain high. As part of a broader verbal and social autopsy study of U5 deaths, this study explored the perspectives of volunteer community health workers, called Village Health Teams (VHTs), on why children under five in Kampala’s informal settlements are still dying despite living in close proximity to nearby health facilities.

Methods

This exploratory, qualitative study took place between January and March 2020 in the Rubaga division of Kampala, Uganda. VHTs from the slums of Kawaala and Nankulabye parishes, both located near a large government health center, were interviewed by a trained local interviewer to determine their perceptions of barriers to care-seeking and attribution for U5 childhood deaths. All interviews were audiotaped, transcribed into English, imported into NVivo V 12.0 and thematically analyzed using the Attride-Stirling framework.

Results

20 VHTs were interviewed, yielding two global themes, the first focusing on VHTs perceptions of their role in the community to promote positive health outcomes, and the second focusing on VHTs’ perceptions of how prompt care-seeking is disincentivized. Within the latter theme, three inter-related sub-themes emerged: disincentives for care-seeking at the health system level, which can drive negative beliefs held by families about the health system, and in turn, drive incentives for alternative health behaviors, which manifest as “incentivized delays” to care-seeking.

Discussion

This study illustrates VHT perspectives on the complex interactions between health system disincentives and the attitudes and behaviors of families with a sick child, as well as the reinforcing nature of these factors. Findings suggest a need for multi-pronged approaches that sensitize community members, engage community and health system leadership, and hold providers accountable for providing high-quality care. VHTs have enormous potential to foster improvement if given adequate resources, training, and support.

Measuring Knowledge of Community Health Workers at the Last Mile in Liberia: Feasibility and Results of Clinical Vignette Assessments

We integrated clinical vignettes into routine programmatic supervision to assess community health worker knowledge of integrated community case management in rural Liberia. Results included higher rates of correct diagnosis and lifesaving treatment for uncomplicated disease than for more severe cases, with accurate recognition of danger signs posing a challenge.

Introduction:

Community health workers (CHWs) can provide lifesaving treatment for children in remote areas, but high-quality care is essential for effective delivery. Measuring the quality of community-based care in remote areas is logistically challenging. Clinical vignettes have been validated in facility settings as a proxy for competency. We assessed feasibility and effectiveness of clinical vignettes to measure CHW knowledge of integrated community case management (iCCM) in Liberia's national CHW program.

Methods:

We developed 3 vignettes to measure knowledge of iCCM illnesses (malaria, diarrhea, and pneumonia) in 4 main areas: assessment, diagnosis, treatment, and caregiver instructions. Trained nurse supervisors administered the vignettes to CHWs in 3 counties in rural Liberia as part of routine program supervision between January and May 2019, collected data on CHW knowledge using a standardized checklist tool, and provided feedback and coaching to CHWs in real time after vignette administration. Proportions of vignettes correctly managed, including illness classification, treatment, and referral where necessary, were calculated. We assessed feasibility, defined as the ability of clinical supervisors to administer the vignettes integrated into their routine activities once per year for each CHW, and effectiveness, defined as the ability of the vignettes to measure the primary outcomes of CHW knowledge of diagnosis and treatment including referrals.

Results:

We were able to integrate this assessment into routine supervision, facilitate real-time coaching, and collect data on iCCM knowledge among 155 CHWs through delivery of 465 vignettes. Diagnosis including severity was correct in 65%–82% of vignettes. CHWs correctly identified danger signs in 44%–50% of vignettes, correctly proposed referral to the facility in 63% of vignettes including danger signs, and chose correct lifesaving treatment in 23%–65% of vignettes. Both diagnosis and lifesaving treatment rates were highest for malaria and lowest for severe pneumonia.

Conclusion:

Administration of vignettes to assess knowledge of correct iCCM case management was feasible and effective in producing results in this setting. Proportions of correct diagnosis and lifesaving treatment varied, with high proportions for uncomplicated disease, but lower for more severe cases, with accurate recognition of danger signs posing a challenge. Future work includes validation of vignettes for use with CHWs through direct observation, strengthening supportive supervision, and program interventions to address identified knowledge gaps.

Cost of Nine Pediatric Infectious Illnesses in Low- and Middle-Income Countries: A Systematic Review of Cost-of-Illness Studies

BACKGROUND

Cost-of-illness data from empirical studies provide insights into the use of healthcare resources including both expenditures and the opportunity cost related to receiving treatment.

OBJECTIVE

The objective of this systematic review was to gather cost data and relevant parameters for hepatitis B, pneumonia, meningitis, encephalitis caused by Japanese encephalitis, rubella, yellow fever, measles, influenza, and acute gastroenteritis in children in low- and middle-income countries.

DATA SOURCES

Peer-reviewed studies published in public health, medical, and economic journals indexed in PubMed (MEDLINE), Embase, and EconLit.

STUDY ELIGIBILITY CRITERIA, PARTICIPANTS, AND INTERVENTIONS

Studies must (1) be peer reviewed, (2) be published in 2000-2016, (3) provide cost data for one of the nine diseases in children aged under 5 years in low- and middle-income countries, and (4) generated from primary data collection.

LIMITATIONS

We cannot exclude missing a few articles in our review. Measures were taken to reduce this risk. Several articles published since 2016 are omitted from the systematic review results, these articles are included in the discussion.

CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS

The review yielded 37 articles and 267 sets of cost estimates. We found no cost-of-illness studies with cost estimates for hepatitis B, measles, rubella, or yellow fever from primary data. Most estimates were from countries in Gavi preparatory (28%) and accelerated (28%) transition, followed by those who are initiating self-financing (22%) and those not eligible for Gavi support (19%). Thirteen articles compared household expenses to manage illnesses with income and two articles with other household expenses, such as food, clothing, and rent. An episode of illness represented 1-75% of the household's monthly income or 10-83% of its monthly expenses. Articles that presented both household and government perspectives showed that most often governments incurred greater costs than households, including non-medical and indirect costs, across countries of all income statuses, with a few notable exceptions. Although limited for low- and middle-income country settings, cost estimates generated from primary data collection provided a 'real-world' estimate of the economic burden of vaccine-preventable diseases. Additional information on whether common situations preventing the application of official clinical guidelines (such as medication stock-outs) occurred would help reveal deficiencies in the health system. Improving the availability of cost-of-illness evidence can inform the public policy agenda about healthcare priorities and can help to operationalize the healthcare budget in local health systems to respond adequately to the burden of illness in the community.

Modelling the household cost of paediatric malaria treatment in a rural county in Kenya: do non-user fee payments matter? A partial cost of illness analysis

OBJECTIVE

The objective of this study was to develop an econometric model for the cost of treatment of paediatric malaria from a patient perspective in a resource scarce rural setting of Homa Bay County, Kenya. We sought to investigate the main contributors as well as the contribution of non-user fee payments to the total household cost of care. Costs were measured from a patient perspective.

DESIGN

The study was conducted as a health facility based cross sectional survey targeting paediatric patients.

SETTING

The study was conducted in 13 health facilities ranging from level II to level V in Homa Bay County which is in the Eastern shores of Lake Victoria, Kenya. This is a malaria endemic area.

PARTICIPANTS

We enrolled 254 inpatient children (139 males and 115 females) all of whom participated up to the end of this study.

PRIMARY OUTCOME MEASURE

The primary outcome measure was the cost of pediatric malaria care borne by the patient. This was measured by asking exiting caregivers to estimate the cost of various items contributing to their total expenditure on care seeking.

RESULTS

A total of 254 respondents who consented from 13 public government health facilities were interviewed. Age, number of days spent at the health facility, being treated at a level V facility, medical officer prescribing and seeking initial treatment from a retail shop were found significant predictors of cost.

CONCLUSION

Higher level health facilities in Homa Bay County, where the more specialised medical workers are stationed, are more costly hence barring the poorest from obtaining quality paediatric malaria care from here. Waiving user fees alone may not be sufficient to guarantee access to care by patients due to unofficial fees and non-user fees expenditures.