Measuring health facility readiness and its effects on severe malaria outcomes in Uganda

Clinical Outreach Training and Supportive Supervision Quality-of-Care Analysis: Impact of Readiness Factors on Health Worker Competencies in Malaria Case Management in Cameroon, Mali, and Niger

Improving the quality of malaria clinical case management in health facilities is key to improving health outcomes in patients. The U.S. President's Malaria Initiative Impact Malaria Project has supported implementation of the Outreach Training and Supportive Supervision (OTSS) approach in 11 African countries to improve the quality of malaria care in health facilities through the collection and analysis of observation-based data on health facility readiness and health provider competency in malaria case management. We conducted a secondary analysis of longitudinal data collected during routine supervision in Cameroon (April 2021-March 2022), Mali (October 2020-December 2021), and Niger (November 2020-September 2021) using digitized checklists to assess how service readiness affects health worker competencies in managing patients with fever correctly and providing those with confirmed uncomplicated malaria cases with appropriate treatment and referral. Linear or logistic regression analyses were conducted to assess the effect of facility readiness and its components on observed health worker competencies. All countries demonstrated significant associations between health facility readiness and malaria case management competencies. Data from three rounds of OTSS visits in Cameroon, Mali, and Niger showed a statistically significant positive association between greater facility readiness scores (including the availability of commodities, materials, and trained staff) and health worker competency in case management. These findings provide evidence that health worker performance is likely affected by the tools and training available to them. These results reinforce the need for necessary tools and properly trained staff if high-quality malaria case management services are to be delivered at health facilities.

Health facility readiness to screen, diagnose and manage substance use disorders in Mbale district, Uganda

BACKGROUND

Substance use disorders (SUD) pose a significant public health problem in Uganda. Studies indicate that integrating mental health services into Primary Health Care can play a crucial role in alleviating the impact of SUD. However, despite ongoing efforts to integrate these services in Uganda, there is a lack of evidence regarding the preparedness of health facilities to effectively screen and manage SUD. Therefore, this study aimed to assess the readiness of health facilities at all levels of the health system in Mbale, Uganda, to carry out screening, diagnosis, and management of SUD.

METHODS

A health facility-based cross-sectional study was carried out among all the 54 facilities in Mbale district. A composite variable adapted from the WHO Service Availability and Readiness Assessment manual (2015) with 14 tracer indicators were used to measure readiness. A cut-off threshold of having at least half the criteria fulfilled (higher than the cutoff of 7) was classified as having met the readiness criteria. Descriptive analyses were performed to describe readiness scores across various facility characteristics and a linear regression model was used to identify the predictors of readiness.

RESULTS

Among all health facilities assessed, only 35% met the readiness criteria for managing Substance Use Disorders (SUD). Out of the 54 facilities, 42 (77.8%) had guidelines in place for managing SUD, but less than half, 26 (48%), reported following these guidelines. Only 8 out of 54 (14.5%) facilities had staff who had received training in the diagnosis and management of SUD within the past two years. Diagnostic tests for SUD, specifically the Uri stick, were available in the majority of facilities, (46/54, 83.6%). A higher number of clinical officers working at the health centres was associated with higher readiness scores (score coefficient 4.0,95% CI 1.5-6.5).

CONCLUSIONS

In this setting, a low level of health facility readiness to provide screening, diagnosis, and management for substance use disorders was found. To improve health facility readiness for delivery of care for substance use disorders, a frequent inventory of human resources in terms of numbers, skills, and other resources are required in this resource-limited setting.

Timeliness and completeness of monthly disease surveillance data reporting, Uganda, 2020-2021

Introduction

timely and complete reporting of routine public health information about diseases and public health events are important aspects of a robust surveillance system. Although data on the completeness and timeliness of monthly surveillance data are collected in the District Health Information System-2 (DHIS2), they have not been routinely analyzed. We assessed completeness and timeliness of monthly outpatient department (OPD) data, January 2020-December 2021.

Methods

we analyzed secondary data from all the 15 regions and 146 districts of Uganda. Completeness was defined as the number of submitted reports divided by the number of expected reports. Timeliness was defined as the number of reports submitted by the deadline (15th day of the following month) divided by reports received. Completeness or timeliness score of <80% was regarded incomplete or untimely.

Results

overall, there was good general performance with the median completeness being high in 2020 (99.5%; IQR 97.8-100%) and 2021 (100%; IQR 98.7-100%), as was the median timeliness (2020; 82.8%, IQR 74.6-91.8%; 2021, 94.9%, IQR 86.5-99.1%). Kampala Region was the only region that consistently failed to reach ≥ 80% OPD timeliness (2020: 44%; 2021: 65%). Nakasongola was the only district that consistently performed poorly in the submission of timely reports in both years (2020: 54.4%, 2021: 58.3%).

Conclusion

there was an overall good performance in the submission of complete and timely monthly OPD reports in most districts and regions in Uganda. There is a need to strengthen the good reporting practices exhibited and offer support to regions, districts, and health facilities with timeliness challenges.

Health facility availability and readiness for family planning and maternity and neonatal care services in Nepal: Analysis of cross-sectional survey data

OBJECTIVES

To determine the availability and readiness of health facilities to provide family planning, antenatal care and basic emergency obstetric and newborn care in Nepal in 2021. Secondary objectives were to identify progress since 2015 and factors associated with readiness.

METHOD

This is a secondary analysis of cross-sectional Nepal Health Facility Survey (NHFS) data collected in 2015 and 2021. The main outcome measures were availability and readiness of family planning, antenatal care, and basic emergency obstetric and newborn care services. Readiness indices were calculated using WHO-recommended service availability and readiness assessment (SARA) methods (score range 0 to 100%, with 100% indicating facilities are fully prepared to provide a specific service). We used independent t-tests to compare readiness indices in 2015 and 2021. Factors potentially associated with readiness (rurality setting, ecological region, managing authority, management meeting, quality assurance activities, and external supervision) were explored using multivariable linear regression.

RESULTS

There were 940 and 1565 eligible health facilities in the 2015 and 2021 surveys, respectively. Nearly all health facilities provided family planning (2015: n = 919 (97.8%); 2021: n = 1530 (97.8%)) and antenatal care services (2015: n = 920 (97.8%); 2021: n = 1538 (98.3%)) in both years, but only half provided delivery services (2015: n = 457 (48.6%); 2021: n = 804 (51.4%)). There were suboptimal improvements in readiness indices over time: (2015-21: family planning 68.0% to 70.9%, p<0.001, antenatal care 49.5% to 54.1%, p<0.001 and basic emergency obstetric and newborn care 56.7% to 58.0%, p = 0.115). The regression model comprising combined datasets of both NHFSs indicates facilities with regular management meetings and/or quality assurance activities had significantly greater readiness for all three indices. Similarly, public facilities had greater readiness for family planning and basic emergency obstetric and newborn care while they had lower readiness for antenatal care.

CONCLUSIONS

Readiness to deliver family planning, antenatal care and basic emergency obstetric and newborn care services in Nepal remains inadequate, with little improvement observed over six years.

Measuring quality of facility-based ITN distribution in Ghana

BACKGROUND

Continuous distribution channels are effective methods to deliver malaria interventions such as insecticide treated nets (ITNs) to pregnant women attending antenatal care clinics and children under five attending immunization visits. Facility-based and provider-based checklists were used during supportive supervision visits to measure the quality of facility-based services and interventions. This study looks at ITN distributions at health facilities in Ghana, with the aim of providing insights on how quality can be measured and monitored.

METHODS

Various quality improvement approaches for malaria services occur in Ghana. Selected indicators were analysed to highlight the similarities and differences of how the approaches measured how well the channel was doing. Generally, the approaches assessed (1) service data management, (2) logistics data management, and (3) observation of service provision (ITN issuance, malaria education, ITN use and care education). Two approaches used a binary (Yes/No) scale, and one used a Likert scale.

RESULTS

Results showed that most data reported to the national HMIS is accurate. Logistics data management remained an issue at health facilities, as results showed scores below average across facility stores, antenatal care, and immunization. Though the supervision approaches differed, overall results indicated that almost all eligible clients received ITNs, data were recorded accurately and reported on-time, and logistics was the largest challenge to optimal distribution through health facilities.

CONCLUSION

The supervision approaches provided valuable insights into the quality of facility-based ITN distribution. Ghana should continue to implement supportive supervision in their malaria agenda, with additional steps needed to improve reporting of collected data and increase the number of facilities visited for supportive supervision and the frequency. There were various supervision approaches used with no clear guidance on how to measure quality of facility-based ITN distribution, so there is also need for the global community to agree on standardized indicators and approaches to measuring quality of facility-based ITN distribution. Additionally, future studies can review the effect of multiple rounds of supervision visits on the quality of ITN distribution as well as understand the facilitators and barriers to scaling up supervision of facility-based ITN distribution.

Readiness of health facilities to manage individuals infected with COVID-19, Uganda, June 2021

BACKGROUND

The COVID-19 pandemic overwhelmed the capacity of health facilities globally, emphasizing the need for readiness to respond to rapid increases in cases. The first wave of COVID-19 in Uganda peaked in late 2020 and demonstrated challenges with facility readiness to manage cases. The second wave began in May 2021. In June 2021, we assessed the readiness of health facilities in Uganda to manage the second wave of COVID-19.

METHODS

Referral hospitals managed severe COVID-19 patients, while lower-level health facilities screened, isolated, and managed mild cases. We assessed 17 of 20 referral hospitals in Uganda and 71 of 3,107 lower-level health facilities, selected using multistage sampling. We interviewed health facility heads in person about case management, coordination and communication and reporting, and preparation for the surge of COVID-19 during first and the start of the second waves of COVID-19, inspected COVID-19 treatment units (CTUs) and other service delivery points. We used an observational checklist to evaluate capacity in infection prevention, medicines, personal protective equipment (PPE), and CTU surge capacity. We used the "ReadyScore" criteria to classify readiness levels as > 80% ('ready'), 40-80% ('work to do'), and < 40% ('not ready') and tailored the assessments to the health facility level. Scores for the lower-level health facilities were weighted to approximate representativeness for their health facility type in Uganda.

RESULTS

The median (interquartile range (IQR)) readiness scores were: 39% (IQR: 30, 51%) for all health facilities, 63% (IQR: 56, 75%) for referral hospitals, and 32% (IQR: 24, 37%) for lower-level facilities. Of 17 referral facilities, two (12%) were 'ready' and 15 (88%) were in the "work to do" category. Fourteen (82%) had an inadequate supply of medicines, 12 (71%) lacked adequate supply of oxygen, and 11 (65%) lacked space to expand their CTU. Fifty-five (77%) lower-level health facilities were "not ready," and 16 (23%) were in the "work to do" category. Seventy (99%) lower-level health facilities lacked medicines, 65 (92%) lacked PPE, and 53 (73%) lacked an emergency plan for COVID-19.

CONCLUSION

Few health facilities were ready to manage the second wave of COVID-19 in Uganda during June 2021. Significant gaps existed for essential medicines, PPE, oxygen, and space to expand CTUs. The Uganda Ministry of Health utilized our findings to set up additional COVID-19 wards in hospitals and deliver medicines and PPE to referral hospitals. Adequate readiness for future waves of COVID-19 requires additional support and action in Uganda.

Readiness of rural health facilities to provide immediate postpartum care in Uganda

BACKGROUND

Nearly 60% of maternal and 45% of newborn deaths occur within 24 h after delivery. Immediate postpartum monitoring could avert death from preventable causes including postpartum hemorrhage, and eclampsia among mothers, and birth asphyxia, hypothermia, and sepsis for babies. We aimed at assessing facility readiness for the provision of postpartum care within the immediate postpartum period.

METHODS

A cross-sectional study involving 40 health facilities within the greater Mpigi region, Uganda, was done. An adapted health facility assessment tool was employed in data collection. Data were double-entered into Epi Data version 4.2 and analyzed using STATA version 13 and presented using descriptive statistics.

RESULTS

Facility readiness for the provision of postpartum care was low (median score 24% (IQR: 18.7, 26.7). Availability, and use of up-to-date, policies, guidelines and written clinical protocols for identifying, monitoring, and managing postpartum care were inconsistent across all levels of care. Lack of or non-functional equipment poses challenges for screening, diagnosing, and treating postnatal emergencies. Frequent stock-outs of essential drugs and supplies, particularly, hydralazine, antibiotics, oxygen, and blood products for transfusions were more common at health centers compared to hospitals. Inadequate human resources and sub-optimal supplies inhibit the proper functioning of health facilities and impact the quality of postpartum care. Overall, private not-for-profit health facilities had higher facility readiness scores.

CONCLUSIONS

Our findings suggest sub-optimal rural health facility readiness to assess, monitor, and manage postpartum emergencies to reduce the risk of preventable maternal/newborn morbidity and mortality. Strengthening health system inputs and supply side factors could improve facility capacity to provide quality postpartum care.

Human immunodeficiency virus, tuberculosis and malaria service readiness at the primary healthcare centers in Ekiti State, Nigeria

Introduction

access to services encompasses three components: availability, affordability, and acceptability. The physical presence of service delivery, which includes health infrastructure, core health staff, and aspects of service use, is referred to as service availability. This study was conducted to inform the health service availability and preparedness to deliver HIV, TB, and malaria prevention and control services in Ekiti State.

Methods

this is a descriptive cross-sectional study conducted among all the Primary Health Centres (177) in Ekiti State Nigeria between August and October 2020. Data were collected with the use of the World Health Organization Service Availability and Readiness Assessment tool and were analyzed using STATA SE 12.

Results

close to half (49%) of them had a condom in supply. More than 90% of them provided diagnosis and treatment of malaria. The HIV-specific service readiness index was approximately 40/0%. Only 26.6% of health facilities were ready to offer TB prevention and control services. Malaria specific service readiness index was 61.9%. There was a statistically significant difference in the HIV and TB-specific service readiness of facilities in the urban compared to rural locations. Health facilities located in the urban areas had higher mean readiness scores compared to those in the other residential areas (P=0.014).

Conclusion

it is evident that HIV and TB-specific service readiness is very poor among PHCs in Ekiti State. Malaria Service Readiness was fair. Ekiti State government needs to expand investments in PHCs by strengthening the diagnostic services, commodities and medicine supply, adequate equipment and staff training.

A qualitative assessment of facility readiness and barriers to the facility-based management of childhood severe acute malnutrition in the public healthcare settings in Bangladesh

OBJECTIVE

To assess facility readiness and identify barriers to the facility-based management of childhood severe acute malnutrition (SAM) in public healthcare settings.

DESIGN

Qualitative methods were applied to assess readiness and identify different perspectives on barriers to the facility-based management of children with SAM. Data collection was done using in-depth interviews, key informant interviews, exit interviews and pre-tested observation tools.

SETTINGS

Two tertiary care and four district hospitals in Rangpur and Sylhet Divisions of Bangladesh.

PARTICIPANTS

Healthcare professionals and caregivers of children with SAM.

RESULTS

Anthropometric tools, glucometer, medicines, F-75, F-100 and national guidelines for facility-based management of childhood SAM were found unavailable in some of the hospitals. Sitting and sleeping arrangements for the caregivers were absent in all of the chosen facilities. We identified a combination of health system and contextual barriers that inhibited the facility-based management of SAM. The health system barriers include inadequate manpower, rapid turnover of staff, increased workload, lack of training and lack of adherence to management protocol. The major facility barriers were insufficient space and unavailability of required equipment, medicines and foods for hospitalised children with SAM. The reluctance of caregivers to complete the treatment regimen, their insufficient knowledge regarding proper feeding, increased number of attendants and poverty of parents were the principal contextual barriers.

CONCLUSIONS

The study findings provide insights on barriers that are curbing the facility-based management of SAM and emphasise policy efforts to develop feasible interventions to reduce the barriers and ensure the preparedness of the facilities for effective service delivery.

Sub-national variations in general service readiness of primary health care facilities in Ghana: Health policy and equity implications towards the attainment of Universal Health Coverage

Background

Service availability and readiness are critical for the delivery of quality and essential health care services. In Ghana, there is paucity of literature that describes general service readiness (GSR) of primary health care (PHC) facilities within the national context. This study therefore assessed the GSR of PHC facilities in Ghana to provide evidence to inform heath policy and drive action towards reducing health inequities.

Methods

We analysed data from 140 Service Delivery Points (SDPs) that were part of the Performance Monitoring and Accountability 2020 survey (PMA2020). GSR was computed using the Service Availability and Readiness Assessment (SARA) manual based on four out of five components. Descriptive statistics were computed for both continuous and categorical variables. A multivariable binary logistic regression model was fitted to assess predictors of scoring above the mean GSR. Analyses were performed using Stata version 16.0. Significance level was set at p<0.05.

Results

The average GSR index of SDPs in this study was 83.4%. Specifically, the mean GSR of hospitals was 92.8%, whereas health centres/clinics and CHPS compounds scored 78.0% and 64.3% respectively. The least average scores were observed in the essential medicines and standard precautions for infection prevention categories. We found significant sub-national, urban-rural and facility-related disparities in GSR. Compared to the Greater Accra Region, SDPs in the Eastern, Western, Upper East and Upper West Regions had significantly reduced odds of scoring above the overall GSR. Majority of SDPs with GSR below the average were from rural areas.

Conclusion

Overall, GSR among SDPs is appreciable as compared to other settings. The study highlights the existence of regional, urban-rural and facility-related differences in GSR of SDPs. The reality of health inequities has crucial policy implications which need to be addressed urgently to fast-track progress towards the achievement of the SDGs and UHC targets by 2030.

Health postservice readiness and use of preventive and curative services for suspected childhood pneumonia in Ethiopia: a cross-sectional study

OBJECTIVE

Pneumonia is the single-leading cause of infectious disease deaths in children under-5. Despite this challenge, the utilisation of preventive and curative child health services remains low in Ethiopia. We investigated the association between health post service readiness and caregivers' awareness of pneumonia services, care-seeking and utilisation of pneumonia-relevant immunisation in four Ethiopian regions.

DESIGN AND SETTING

This cross-sectional study was conducted in 52 districts of four regions of Ethiopia from December 2018 to February 2019. The health posts preparedness for sick child care was assessed using the WHO Health Service Availability and Readiness Assessment tool. Multilevel analyses were employed to examine the associations between health post readiness and household-level awareness and utilisation of services.

PARTICIPANTS

We included 165 health posts, 274 health extension workers (community health workers) and 4729 caregivers with 5787 children 2-59 months.

OUTCOME MEASURES

Awareness of pneumonia treatment, care-seeking behaviour and coverage of pentavalent-3 immunisation.

RESULTS

Only 62.8% of health posts were ready to provide sick child care services. One-quarter of caregivers were aware of pneumonia services, and 56.8% sought an appropriate care provider for suspected pneumonia. Nearly half (49.3%) of children (12-23 months) had received pentavalent-3 immunisation. General health post readiness was not associated with caregivers' awareness of pneumonia treatment (adjusted OR, AOR 0.9, 95% CI 0.7 to 1.1) and utilisation of pentavalent-3 immunisation (AOR=1.2, 95% CI 0.8 to 1.6), but negatively associated with care-seeking for childhood illnesses (AOR=0.6, 95% CI 0.4 to 0.8).

CONCLUSION

We found no association between facility readiness and awareness or utilisation of child health services. There were significant deficiencies in health post preparedness for services. Caregivers had low awareness and utilisation of pneumonia-related services. The results underline the importance of enhancing facility preparedness, providing high-quality care and intensifying demand generation efforts to prevent and treat pneumonia.

Constructing a malaria-related health service readiness index and assessing its association with child malaria mortality: an analysis of the Burkina Faso 2014 SARA data

Background

The Service Availability and Readiness Assessment surveys generate data on the readiness of health facility services. We constructed a readiness index related to malaria services and determined the association between health facility malaria readiness and malaria mortality in children under the age of 5 years in Burkina Faso.

Methods

Data on inpatients visits and malaria-related deaths in under 5-year-old children were extracted from the national Health Management Information System in Burkina Faso. Bayesian geostatistical models with variable selection were fitted to malaria mortality data. The most important facility readiness indicators related to general and malaria-specific services were determined. Multiple correspondence analysis (MCA) was employed to construct a composite facility readiness score based on multiple factorial axes. The analysis was carried out separately for 112 medical centres and 546 peripheral health centres.

Results

Malaria mortality rate in medical centres was 4.8 times higher than that of peripheral health centres (3.5% vs. 0.7%, p < 0.0001). Essential medicines was the domain with the lowest readiness (only 0.1% of medical centres and 0% of peripheral health centres had the whole set of tracer items of essential medicines). Basic equipment readiness was the highest. The composite readiness score explained 30 and 53% of the original set of items for medical centres and peripheral health centres, respectively. Mortality rate ratio (MRR) was by 59% (MRR = 0.41, 95% Bayesian credible interval: 0.19–0.91) lower in the high readiness group of peripheral health centres, compared to the low readiness group. Medical centres readiness was not related to malaria mortality. The geographical distribution of malaria mortality rate indicate that regions with health facilities with high readiness show lower mortality rates.

Conclusion

Performant health services in Burkina Faso are associated with lower malaria mortality rates. Health system readiness should be strengthened in the regions of Sahel, Sud-Ouest and Boucle du Mouhoun. Emphasis should be placed on improving the management of essential medicines and to reducing delays of emergency transportation between the different levels of the health system.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-020-09994-7.

Using routine health information data for research in low- and middle-income countries: a systematic review

BACKGROUND

Routine health information systems (RHISs) support resource allocation and management decisions at all levels of the health system, as well as strategy development and policy-making in many low- and middle-income countries (LMICs). Although RHIS data represent a rich source of information, such data are currently underused for research purposes, largely due to concerns over data quality. Given that substantial investments have been made in strengthening RHISs in LMICs in recent years, and that there is a growing demand for more real-time data from researchers, this systematic review builds upon the existing literature to summarize the extent to which RHIS data have been used in peer-reviewed research publications.

METHODS

Using terms 'routine health information system', 'health information system', or 'health management information system' and a list of LMICs, four electronic peer-review literature databases were searched from inception to February 202,019: PubMed, Scopus, EMBASE, and EconLit. Articles were assessed for inclusion based on pre-determined eligibility criteria and study characteristics were extracted from included articles using a piloted data extraction form.

RESULTS

We identified 132 studies that met our inclusion criteria, originating in 37 different countries. Overall, the majority of the studies identified were from Sub-Saharan Africa and were published within the last 5 years. Malaria and maternal health were the most commonly studied health conditions, although a number of other health conditions and health services were also explored.

CONCLUSIONS

Our study identified an increasing use of RHIS data for research purposes, with many studies applying rigorous study designs and analytic methods to advance program evaluation, monitoring and assessing services, and epidemiological studies in LMICs. RHIS data represent an underused source of data and should be made more available and further embraced by the research community in LMIC health systems.

Malaria Risk Map Using Spatial Multi-Criteria Decision Analysis along Yunnan Border During the Pre-elimination Period

In moving toward malaria elimination, finer scale malaria risk maps are required to identify hotspots for implementing surveillance–response activities, allocating resources, and preparing health facilities based on the needs and necessities at each specific area. This study aimed to demonstrate the use of multi-criteria decision analysis (MCDA) in conjunction with geographic information systems (GISs) to create a spatial model and risk maps by integrating satellite remote-sensing and malaria surveillance data from 18 counties of Yunnan Province along the China–Myanmar border. The MCDA composite and annual models and risk maps were created from the consensus among the experts who have been working and know situations in the study areas. The experts identified and provided relative factor weights for nine socioeconomic and disease ecology factors as a weighted linear combination model of the following: ([Forest coverage × 0.041] + [Cropland × 0.086] + [Water body × 0.175] + [Elevation × 0.297] + [Human population density × 0.043] + [Imported case × 0.258] + [Distance to road × 0.030] + [Distance to health facility × 0.033] + [Urbanization × 0.036]). The expert-based model had a good prediction capacity with a high area under curve. The study has demonstrated the novel integrated use of spatial MCDA which combines multiple environmental factors in estimating disease risk by using decision rules derived from existing knowledge or hypothesized understanding of the risk factors via diverse quantitative and qualitative criteria using both data-driven and qualitative indicators from the experts. The model and fine MCDA risk map developed in this study could assist in focusing the elimination efforts in the specifically identified locations with high risks.

How to Estimate Optimal Malaria Readiness Indicators at Health-District Level: Findings from the Burkina Faso Service Availability and Readiness Assessment (SARA) Data

One of the major contributors of malaria-related deaths in Sub-Saharan African countries is the limited accessibility to quality care. In these countries, malaria control activities are implemented at the health-district level (operational entity of the national health system), while malaria readiness indicators are regionally representative. This study provides an approach for estimating health district-level malaria readiness indicators from survey data designed to provide regionally representative estimates. A binomial-hierarchical Bayesian spatial prediction method was applied to Burkina Faso Service Availability and Readiness Assessment (SARA) survey data to provide estimates of essential equipment availability and readiness for malaria care. Predicted values of each indicator were adjusted by the type of health facility, location, and population density. Then, a health district composite readiness profile was built via hierarchical ascendant classification. All surveyed health-facilities were mandated by the Ministry of Health to manage malaria cases. The spatial distribution of essential equipment and malaria readiness was heterogeneous. Around 62.9% of health districts had a high level of readiness to provide malaria care and prevention during pregnancy. Low-performance scores for managing malaria cases were found in big cities. Health districts with low coverage for both first-line antimalarial drugs and rapid diagnostic tests were Baskuy, Bogodogo, Boulmiougou, Nongr-Massoum, Sig-Nonghin, Dafra, and Do. We provide health district estimates and reveal gaps in basic equipment and malaria management resources in some districts that need to be filled. By providing local-scale estimates, this approach could be replicated for other types of indicators to inform decision makers and health program managers and to identify priority areas.

Severe-malaria infection and its outcomes among pregnant women in Burkina Faso health-districts: Hierarchical Bayesian space-time models applied to routinely-collected data from 2013 to 2018

Fine-scale hotspots detection is crucial for optimum delivery of essential health-services for reducing severe malaria in pregnancy (MiP) and death cases in Burkina Faso. This study used hierarchical-Bayesian Spatio-temporal modeling to explore space-time patterns and pinpoint health-districts with an exceedance probability of severe MiP incidence and fatality rate. Study also assessed effect of health-district service delivery (readiness) on severe-MiP outcomes.

Severe-MiP fatality rate declined considerably while its incidence rate remained unchanged between January-2013 and December-2018. Severe-MiP cases persisted throughout the year with peaks between August and November. These peaks increased 2.5-fold the fatality rate. Furthermore, severe-MiP fatality was higher in health-districts classified as low-readiness (IRR = 2.469, 95%CrI: 1.632–3.738). However, the fatality rate decreased significantly with proper coverage with three doses for intermittent-preventive-treatment with sulphadoxine-pyrimethamine. Severe-MiP burden was heterogeneous spatially and temporally. The study suggested that health-programs should increase health-districts readiness and optimize resource allocation in high burden areas and months.

Effect of Free Healthcare Policy for Children under Five Years Old on the Incidence of Reported Malaria Cases in Burkina Faso by Bayesian Modelling: "Not only the Ears but also the Head of the Hippopotamus"

Burkina Faso has recently implemented an additional strategy, the free healthcare policy, to further improve maternal and child health. This policy targets children under five who bear the brunt of the malaria scourge. The effects of the free-of-charge healthcare were previously assessed in women but not in children. The present study aims at filling this gap by assessing the effect of this policy in children under five with a focus on the induced spatial and temporal changes in malaria morbidity. We used a Bayesian spatiotemporal negative binomial model to investigate the space–time variation in malaria incidence in relation to the implementation of the policy. The analysis relied on malaria routine surveillance data extracted from the national health data repository and spanning the period from January 2013 to December 2018. The model was adjusted for meteorological and contextual confounders. We found that the number of presumed and confirmed malaria cases per 1000 children per month increased between 2013 and 2018. We further found that the implementation of the free healthcare policy was significantly associated with a two-fold increase in the number of tested and confirmed malaria cases compared with the period before the policy rollout. This effect was, however, heterogeneous across the health districts. We attributed the rise in malaria incidence following the policy rollout to an increased use of health services combined with an increased availability of rapid tests and a higher compliance to the “test and treat” policy. The observed heterogeneity in the policy effect was attributed to parallel control interventions, some of which were rolled out at different paces and scales. Our findings call for a sustained and reinforced effort to test all suspected cases so that, alongside an improved case treatment, the true picture of the malaria scourge in children under five emerges clearly (see the hippopotamus almost entirely).

Examination of malaria service utilization and service provision: an analysis of DHS and SPA data from Malawi, Senegal, and Tanzania

Background

Ensuring universal access to malaria diagnosis and treatment is a key component of Pillar 1 of the World Health Organization Global Technical Strategy for Malaria 2016–2030. To achieve this goal it is essential to know the types of facilities where the population seeks care as well as the malaria service readiness of these facilities in endemic countries.

Methods

To investigate the utilization and provision of malaria services, data on the sources of advice or treatment in children under 5 years with fever from the household-based Demographic and Health Surveys (DHS) and on the components of malaria service readiness from the facility-based Service Provision Assessment (SPA) surveys were examined in Malawi, Senegal and Tanzania. Facilities categorized as malaria-service ready were those with: (1) personnel trained in either malaria rapid diagnostic testing (RDT), microscopy or case management/treatment of malaria in children; (2) national guidelines for the diagnosis and treatment of malaria; (3) diagnostic capacity (available RDT tests or microscopy equipment as well as staff trained in its use); and, (4) unexpired artemisinin-based combination therapy (ACT) available on the day of the survey.

Results

In all three countries primary-level facilities (health centre/health post/health clinic) were the type of facility most used for care of febrile children. However, only 69% of these facilities in Senegal, 32% in Malawi and 19% in Tanzania were classified as malaria-service ready. Of the four components of malaria-service readiness in the facilities most frequented by febrile children, diagnostic capacity was the weakest area in all three countries, followed by trained personnel. All three countries performed well in the availability of ACT.

Conclusions

This analysis highlights the need to improve the malaria-service readiness of facilities in all three countries. More effort should be focused on facilities that are commonly used for care of fever, especially in the areas of malaria diagnostic capacity and provider training. It is essential for policymakers to consider the malaria-service readiness of primary healthcare facilities when allocating resources. This is particularly important in limited-resource settings to ensure that the facilities most visited for care are properly equipped to provide diagnosis and treatment for malaria.