District Health Information Software Research Articles

Malaria Severity in the Elimination Continuum: A Retrospective Cohort Study between Beitbridge and Lupane Districts in Zimbabwe, 2021–2023

Malaria has created a resurgence crisis in Zimbabwe’s elimination continuum, diverging from global commitment to malaria elimination by 2030. This retrospective cohort study aimed to determine the risk factors associated with severe malaria in the Beitbridge and Lupane districts. Multistage sampling was used to recruit 2414 individuals recorded in the District Health Information Software2 Tracker database. The study used IBM SPSS 29.0.2.0(20) for data analysis, and odds ratios (ORs) to estimate the relative risk (RR; 95% C.I; p < 0.05). The study revealed significant relative risks (p-value < 0.05) for individuals who had no Long-Lasting Insecticidal Nets (Beitbridge 47.4; Lupane 12.3), those who owned but used the LLINs (Beitbridge 24.9; Lupane 7.83), those who slept outdoors during the night (Beitbridge 84.4; Lupane 1.93), and adults (Beitbridge 0.18; Lupane 0.22) compared to the corresponding reference groups. Other factors showed varying RR: sex (Beitbridge 126.1), prompt treatment (Beitbridge 6.78), hosting visitor(s) (Lupane 6.19), and residence (Lupane 1.94) compared to the corresponding reference groups. Risk factor management needs to focus on increasing local awareness of malaria, universal LLINs coverage of indoor and outdoor sleeping spaces, community-based programs on proper and consistent LLIN usage, screening of visitors from malaria-endemic areas, comprehensive entomological activities, mixed malaria interventions in rural hotspots, and future research on local malaria transmission dynamics. While Zimbabwe has the potential to meet the global goal of malaria elimination, success depends on overcoming the risk factors to sustain the gains already made among malaria elimination districts.

Malaria Severity in the Elimination Continuum: A Retrospective Cohort Study between Beitbridge and Lupane Districts in Zimbabwe, 2021–2023

Malaria has created a resurgence crisis in Zimbabwe’s elimination continuum, diverging from global commitment to malaria elimination by 2030. This retrospective cohort study aimed to determine the risk factors associated with severe malaria in the Beitbridge and Lupane districts. Multistage sampling was used to recruit 2414 individuals recorded in the District Health Information Software2 Tracker database. The study used IBM SPSS 29.0.2.0(20) for data analysis, and odds ratios (ORs) to estimate the relative risk (RR; 95% C.I; p < 0.05). The study revealed significant relative risks (p-value < 0.05) for individuals who had no Long-Lasting Insecticidal Nets (Beitbridge 47.4; Lupane 12.3), those who owned but used the LLINs (Beitbridge 24.9; Lupane 7.83), those who slept outdoors during the night (Beitbridge 84.4; Lupane 1.93), and adults (Beitbridge 0.18; Lupane 0.22) compared to the corresponding reference groups. Other factors showed varying RR: sex (Beitbridge 126.1), prompt treatment (Beitbridge 6.78), hosting visitor(s) (Lupane 6.19), and residence (Lupane 1.94) compared to the corresponding reference groups. Risk factor management needs to focus on increasing local awareness of malaria, universal LLINs coverage of indoor and outdoor sleeping spaces, community-based programs on proper and consistent LLIN usage, screening of visitors from malaria-endemic areas, comprehensive entomological activities, mixed malaria interventions in rural hotspots, and future research on local malaria transmission dynamics. While Zimbabwe has the potential to meet the global goal of malaria elimination, success depends on overcoming the risk factors to sustain the gains already made among malaria elimination districts.

Establishing an early warning event management system at Africa CDC.

Africa is home to hotspots of disease emergence and re-emergence. To adequately detect and respond to these health threats, early warning systems inclusive of event-based surveillance (EBS) are needed. However, data systems to manage these events are not readily available. In 2020, Africa Centres for Disease Control and Prevention developed an event management system (EMS) to meet this need. The district health information software (DHIS2), which is free and open-source software was identified as the platform for the EMS because it can support data capture and analysis and monitor and report events. The EMS was created through a collaborative and iterative prototyping process that included modifying key DHIS2 applications like Tracker Capture. Africa CDC started piloting the EMS with both signal and event data entry in June 2020. By December 2022, 416 events were captured and over 140 weekly reports, including 19 COVID-19 specific reports, were generated and distributed to inform continental awareness and response efforts. Most events detected directly impacted humans (69%), were considered moderate (50%) to high (29%) risk level and reflected both emerging and endemic infectious disease outbreaks. Highly pathogenic avian influenza, specifically H5N1, was the most frequently detected animal event and storms and flooding were most frequently detected environmental events. Both data completeness and timeliness improved over time. Country-level interest and utility resulted in four African countries adapting the EMS in 2022 and two more in 2023. This system demonstrates how integrating digital technology into health systems and utilising existing digital platforms like DHIS2 can improve early warning at the continental and country level by improving EBS workflow.

Understanding the impact of the COVID-19 pandemic and its control measures on women and children: A Zimbabwe case study.

COVID-19 presented countries with unprecedented health policy challenges. For low-income countries in particular, policymakers had to contend with both the direct threats posed by COVID-19 as well as the social, educational, and economic harms associated with lockdown and other infection prevention and control measures. We present a holistic and contextualised case study of the direct and indirect impacts of COVID-19 on women and children, with some assessment of their uneven distribution across socio-economic, age and gender groups. We used different types of primary and secondary data from multiple sources to produce a holistic descriptive analysis. Primary data included: qualitative data obtained from 28 in-depth interviews of key informants, six focus group discussions; and 40 household interviews. We also extracted data from government reports and announcements, the District Health Information Software version 2 (DHIS2), newspaper articles and social media, as well as from published research articles. Our findings show that the direct and indirect adverse impacts of COVID-19 were compounded by many years of severe political economic challenges, and consequent deterioration of the healthcare system. The indirect effects of the pandemic had the most severe impacts on the poorest segment of society and widened age and gender inequalities. The pandemic and its accompanying infection prevention and control measures negatively affected health service delivery and uptake. The management of COVID-19 presented enormous challenges to policymakers and public health specialists. These included managing the greatest tension between direct and indirect harms; short-term and long-term effects; and the unequal distribution of harms across different segments of society.

Spatial and Socioeconomic Inequalities in Cesarean Section Deliveries in Urban Settings in Dakar, Senegal.

As part of an initiative aimed at reducing maternal and child mortality, Senegal implemented a policy of free Cesarean section (C-section) since 2005. Despite the implementation, C-section rates have remained low and significant large disparities in access, particularly in major cities such as Dakar. This paper aims to assess C-section rates and examines socioeconomic inequalities in C-section use in the Dakar region between 2005 and 2019. This study incorporates data from various sources, including the health routine data within District Health Information Software 2 (DHIS2) platform, government statistics on slum areas, and data from Demographic and Health Surveys (DHS). A geospatial analysis was conducted to identify locations of Comprehensive emergency obstetric and Newborn Care (CEmONC) services using the Direction des Travaux Géographiques et Cartographiques (DTGC) databases and satellite imagery from the Google Earth platform. The analytical approach encompassed univariate, bivariate, and multivariate analyses. The C-section rate fluctuated over the years, increasing from 11.1% in 2005 to 16.4% in 2011, declined to 9.8% in 2014, and then raised to 13.3% in 2019. The wealth tertile demonstrated a positive correlation with C-sections in urban areas of the Dakar region. Geospatial analyses revealed that women residing in slum areas were less likely to undergo C-section deliveries. These findings underscore the importance of public health policies extending beyond merely providing free C-section delivery services. Strategies that improve equitable access to C-section delivery services for women across all socioeconomic strata are needed, particularly targeting the poor women and those in urban slums.

Sustaining essential health services inLao PDR inthe context ofdonor transition andCOVID-19.

Lao People's Democratic Republic (Lao PDR) aims at graduating from least developed country status by 2026 and must increase the level of domestic financing for health. This paper examines how the government has prepared for the decline of external assistance and how donors have applied their transition approaches. Adapting a World Health Organization (WHO) framework, reflections and lessons were generated based on literature review, informal and formal consultations and focus group discussions with the Lao PDR government and development partners including budget impact discussion. The government has taken three approaches to transition from external to domestic funding: mobilizing domestic resources, increasing efficiency across programs and prioritization with a focus on strengthening primary health care (PHC). The government has increased gradually domestic government health expenditures as a share of the government expenditure from 2.6% in 2013 to 4.9% in 2019. The Ministry of Health has made efforts to design and roll out integrated service delivery of maternal, newborn, child, and adolescent health services, immunization and nutrition; integrated 13 information systems of key health programs into one single District Health Information Software 2; and prioritized PHC, which has led to shifting donors towards supporting PHC. Donors have revisited their aid policies designed to improve sustainability and ownership of the government. However, the government faces challenges in improving cross-programmatic efficiency at the operational level and in further increasing the health budget due to the economic crisis aggravated during Coronavirus disease 2019 (COVID-19). Working to implement donor transition strategies under the current economic situation and country challenges, calls into question the criteria used to evaluate transition. This criterion needs to include more appropriate indicators other than gross national income per capita, which does not reflect a country's readiness and capacity of the health system. There should be a more country-tailored strategy and support for considering the context and system-wide readiness during donor transition.

COVID-19 reinfection in Afghanistan: A descriptive analysis of data from DHIS2, 2022

Background: Despite millions of COVID-19 infections worldwide since the beginning of the pandemic, relatively few confirmed cases of COVID-19 reinfection have been reported. In Afghanistan, COVID-19 undetected cases are more than detected cases. This study aims to describe the burden of COVID-19 reinfection cases in Afghanistan, along with the epidemiological and demographical patterns. Methods: A descriptive study of national-wide secondary data on COVID-19 reinfection cases was carried out from January to June 2022. Data were extracted from the District Health Information Software 2 (DHIS2) and managed and analyzed using Microsoft Excel and Epi Info V.7.2.1. Results: In 2022, 79 reinfection cases of COVID-19 were reported, with males being more affected than females. The mean age of re-infected patients was 39, with most from Wardak province. Most cases occurred within six months after the primary infection. Cough was more prevalent among reinfected cases. Only 26 patients had taken two doses of the vaccine, while 44 (55.70%) had not received it. Out of all cases, 44 (55.70%) were recovered and 5 (6.85%) died. Conclusion: The COVID-19 reinfection rate is very low in Afghanistan, which was common in males since other cases might be unreported. Coughing was more common among reinfection patients. Relying on the results, vaccination and awareness-raising may play a protective role in reinfection; hence, enhancement of vaccination and taking preventive measures are recommended to prevent further reinfection.

Trends of HIV Infection and Progress Towards the 95-95-95 Targets in Gambella Regional State from 2019 to 2023, Southwest ETHIOPIA.

In 2022, there were 1.3 million new HIV infections, 630,000 AIDS-related deaths, and 39.0 million HIV-positive individuals worldwide. To put the world on track to eradicate AIDS by 2030, there are ambitious goals and commitments for 2025. However, the likelihood of these goals being met or even close to being met is highly dependent on the trend of new HIV infection, the prevalence of the disease, the commitment and capability of leaders, and the application of the planned strategies to achieve the goal. To look trend of HIV infection is changing and how far we have come toward the three 95-95-95 goals in Gambella Regional State, Southwest Ethiopia, 2023. From August 1 to August 20, 2023, a descriptive cross-sectional study was carried out. This study included all HIV testing service clients who were enrolled in HIV care and treatment and had viral load records or tests. The data were gathered from the electronic form of the territorial reports of District Health Information Software 2 (DHIS-2). Reviewing regional DHIS-2, a standardized checklist was used. Epi-Data version 3.1 software was used to enter the data. SPSS version 25 was used for the analysis. The proposed objectives' trend was described using a descriptive statistic. The number of people living with HIV decreased by 4.5%, new HIV infections decreased by 42.28% and adult HIV prevalence decreased from 4.37% to 3.69% between 2019 and 2023. The finding showed that the region progress toward the 95-95-95 goals was 73%, 75% and 95% in 2023. In the Gambella region, HIV testing services and linking HIV-positive cases to HIV treatment have increased. Despite the good progress toward achieving the three 95 targets; first 95 targets for HIV diagnosis are impractical. As a result, adequate attention is required.

The impact of the COVID-19 pandemic on medical treatment activities in some provinces in Vietnam, 2021

ABSTRACT Objectives: 1) describe medical treatment performance and 2) investigate the changing patterns of medical treatment performance in some provinces in Vietnam during the COVID-19 pandemic in 2021. Methods: A retrospective descriptive study of secondary data was conducted by using secondary data from The District Health Information Software, a reporting platform operated by the Vietnam Ministry of Health. Result: A significantly declining trend in patterns of medical treatment activities was observed during the SARS-CoV-2 outbreak, and most utilization measures have not returned to their pre-outbreak levels as of January 2021. The incidence rate ratio (IRR) was 0.99, that is, if one more COVID case was found in the community /100,000 population, the number of medical treatment activities would be significantly reduced by 0.1% with p<0,01. Conclusion: This study emphasizes the need to strengthen the health system's preparedness capability to cope with the pandemic and future disasters. Keywords: COVID-19, impact, medical treatment activities

Tuberculosis cohort analysis in Zimbabwe: The need to strengthen patient follow-up throughout the tuberculosis care cascade.

Globally people with tuberculosis (TB) continue to be missed each year. They are either not diagnosed or not reported which indicates possible leakages in the TB care cascade. Zimbabwe is not spared with over 12000 missed cases in 2020. A preliminary review of TB treatment outcomes indicated patient leakages throughout the presumptive cascade and undesirable treatment outcomes in selected cities. Chegutu District had pre-diagnosis and pretreatment losses to follow-up while Mutare City among others had 22.0% of outcomes not evaluated in the second quarter of 2021, and death rates as high as 14% were recorded in Gweru District. The problem persists despite training on data analysis and use. The TB cohorts were analysed to determine the performance of the care cascade and the spatial distribution of treatment outcomes in Zimbabwe. Using data from district health information software version 2.3 (DHIS2.3), a secondary data analysis of 2020 drug-sensitive (DS) TB treatment cohorts was conducted. We calculated the percentage of pre-diagnosis, and pre-treatment loss to follow-up (LTFU). For TB treatment outcomes, 'cured' and 'treatment completed' were categorized as treatment success, while 'death', 'loss to follow-up (LTFU), and 'not evaluated' were categorized as undesirable outcomes. Univariate analysis of the data was conducted where frequencies were calculated, and data was presented in graphs for the cascade, treatment success, and undesirable outcomes while tables were created for the description of study participants and data quality. QGIS was used to generate maps showing undesirable treatment outcomes. An analysis of national data found 107583 people were presumed to have TB based on symptomatic screening and or x-ray and 21.4% were LTFU before the specimen was investigated. Of the 84534 that got tested, 10.0% did not receive their results. The treatment initiation rate was 99.1%. Analysis of treatment outcomes done at the provincial level showed that Matabeleland South Province had the lowest treatment success rate of 77.3% and high death rates were recorded in Matabeleland South (30.0%), Masvingo (27.3%), and Matabeleland North (26.1%) provinces. Overall, there were high percentages of not-evaluated treatment outcomes. Pre-diagnosis LTFU was high, and high death and loss to follow-up rates were prevalent in provinces with artisanal and small-scale mining (ASM) activities. Unevaluated treatment outcomes were also prevalent and data quality remains a challenge within the national TB control program. We recommended strengthening patient follow-up at all levels within the TB care cascade, strengthening capacity-building for data analysis and use, further analysis to determine factors associated with undesirable outcomes and a study on why LTFU remains high.

Qualitative Analysis of Factors Influencing the Use of DHIS2 for Tuberculosis Surveillance: A Case Study in Guinea

Tuberculosis (TB) is a major public health problem in Guinea, where many cases are undetected and untreated. A robust health information system is needed to improve TB case detection and treatment outcomes. DHIS2 (District Health Information Software 2) is a web-based system that collects, analyses and reports data on TB indicators. However, its use and use in Guinea is affected by various factors. We explored these factors using a qualitative survey with health workers and managers who use DHIS2 for TB surveillance. We collected data through a survey with open-ended questions and analysed them using classical content analysis. We conducted a qualitative survey with 35 health workers and managers who use DHIS2 for TB surveillance at different levels of the health system in Guinea. We collected data through an online survey with open-ended questions and analysed them using classical content analysis with NVivo software. We identified four main themes: technical issues (such as internet connection, data synchronisation, and validation rules), data quality issues (such as data validation, data aberrations, and data completeness), training and support issues (such as data analysis techniques, online training, orientation on DHIS2), and organisational issues (such as integration of community data, standardisation of data elements, meetings for data validation). We discussed how these findings could inform the improvement of DHIS2 for TB surveillance in Guinea and other similar settings. Keywords: DHIS2, Health information system, Surveillance, Tuberculosis, Qualitative study.

Progress and experiences of implementing an integrated disease surveillance and response system in Somalia; 2016-2023.

In 2021, a regional strategy for integrated disease surveillance was adopted by member states of the World Health Organization Eastern Mediterranean Region. But before then, member states including Somalia had made progress in integration of their disease surveillance systems. We report on the progress and experiences of implementing an integrated disease surveillance and response system in Somalia between 2016 and 2023. We reviewed 20 operational documents and identified key integrated disease surveillance and response system (IDSRS) actions/processes implemented between 2016 and 2023. We verified these through an anonymized online survey. The survey respondents also assessed Somalia's IDSRS implementation progress using a standard IDS monitoring framework Finally, we interviewed 8 key informants to explore factors to which the current IDSRS implementation progress is attributed. Between 2016 and 2023, 7 key IDSRS actions/processes were implemented including: establishment of high-level commitment; development of a 3-year operational plan; development of a coordination mechanism; configuring the District Health Information Software to support implementation among others. IDSRS implementation progress ranged from 15% for financing to 78% for tools. Reasons for the progress were summarized under 6 thematic areas; understanding frustrations with the current surveillance system; the opportunity occasioned by COVID-19; mainstreaming IDSRS in strategic documents; establishment of an oversight mechanism; staggering implementation of key activities over a reasonable length of time and being flexible about pre-determined timelines. From 2016 to 2023, Somalia registered significant progress towards implementation of IDSRS. The 15 years of EWARN implementation in Somalia (since 2008) provided a strong foundation for IDSRS implementation. If implemented comprehensively, IDSRS will accelerate country progress toward establishment of IHR core capacities. Sustainable funding is the major challenge towards IDSRS implementation in Somalia. Government and its partners need to exploit feasible options for sustainable investment in integrated disease surveillance and response.

Exploring the impact of COVID-19 on reported maternal and neonatal complications and access to maternal health care in five government health facilities in Blantyre, Malawi.

There is a dearth of studies assessing the effects of SARS-CoV-2 on the healthcare system and access to care, especially in lower- and middle-income countries such as Malawi. We aimed to assess the impacts of COVID-19 on reported maternal and neonatal complications as well as potential changes in maternal care access to care among five primary care health facilities in Blantyre, Malawi. This retrospective cohort study assessed maternal and neonatal register data from five participating health centers in Blantyre, Malawi using the Malawi District Health Information Software 2 (DHIS2) to compare outcomes from 15 months before COVID-19 emerged, defined as the pre-Covid period (January 2019 -March 2020) with nine months after COVID-19 (April 2020 -December 2020). There was a significant decrease in reported use of vacuum extraction, which went from <0.01%in the pre-COVID period to 0% in the COVID period (p = 0.01). The proportion of births reporting fetal distress almost tripled from 0.46% to 1.36% (p = 0.001) during the COVID-19 period. Additionally, reported anticonvulsant use significantly increased from 0.01% to 1.2% (p<0.01), and antibiotic use significantly increased from 0.45% to 1.6% (p = 0.01). Asphyxia was the only significant neonatal complication variable reported, increasing from 2.80% to 3.45% (p = 0.01). Our findings suggest that significant outcomes were mainly due to the indirect effects of COVID-19 rather than the virus itself. Based on our findings and the contextual qualitative interviews with two Malawian expert midwives, we concluded that mothers may have been affected more due to understaffing and shortage of skilled personnel in the study health facilities. Therefore, the development of highly skilled health workers may contribute to better outcomes, along with adequate staffing and a streamlined referral process.

Monitoring and evaluation platform for HEARTS in the Americas: improving population-based hypertension control programs in primary health carePlataforma de monitoramento e avaliação do programa HEARTS nas Américas: melhoria dos programas de controle da hipertensão de base populacional na atenção primária à saúde

HEARTS in the Americas is the Pan American Health Organization flagship program to accelerate the reduction of the cardiovascular disease (CVD) burden by improving hypertension control and CVD secondary prevention in primary health care. A monitoring and evaluation (M&E) platform is needed for program implementation, benchmarking, and informing policy-makers. This paper describes the conceptual bases of the HEARTS M&E platform including software design principles, contextualization of data collection modules, data structure, reporting, and visualization. The District Health Information Software 2 (DHIS2) web-based platform was chosen to implement aggregate data entry of CVD outcome, process, and structural risk factor indicators. In addition, PowerBI was chosen for data visualization and dashboarding for the analysis of performance and trends above the health care facility level. The development of this new information platform was focused on primary health care facility data entry, timely data reporting, visualizations, and ultimately active use of data to drive decision-making for equitable program implementation and improved quality of care. Additionally, lessons learnt and programmatic considerations were assessed through the experience of the M&E software development. Building political will and support is essential to developing and deploying a flexible platform in multiple countries which is contextually specific to the needs of various stakeholders and levels of the health care system. The HEARTS M&E platform supports program implementation and reveals structural and managerial limitations and care gaps. The HEARTS M&E platform will be central to monitoring and driving further population-level improvements in CVD and other noncommunicable disease-related health.

Timeliness and completeness of weekly surveillance data reporting on epidemic prone diseases in Uganda, 2020–2021

IntroductionDisease surveillance provides vital data for disease prevention and control programs. Incomplete and untimely data are common challenges in planning, monitoring, and evaluation of health sector performance, and health service delivery. Weekly surveillance data are sent from health facilities using mobile tracking (mTRAC) program, and synchronized into the District Health Information Software version 2 (DHIS2). The data are then merged into district, regional, and national level datasets. We described the completeness and timeliness of weekly surveillance data reporting on epidemic prone diseases in Uganda, 2020–2021.MethodsWe abstracted data on completeness and timeliness of weekly reporting of epidemic-prone diseases from 146 districts of Uganda from the DHIS2.Timeliness is the proportion of all expected weekly reports that were submitted to DHIS2 by 12:00pm Monday of the following week. Completeness is the proportion of all expected weekly reports that were completely filled and submitted to DHIS2 by 12:00pm Wednesday of the following week. We determined the proportions and trends of completeness and timeliness of reporting at national level by year, health region, district, health facility level, and facility ownership.ResultsNational average reporting timeliness and completeness was 44% and 70% in 2020, and 49% and 75% in 2021. Eight of the 15 health regions achieved the target for completeness of ≥ 80%; Lango attained the highest (93%) in 2020, and Karamoja attained 96% in 2021. None of the regions achieved the timeliness target of ≥ 80% in either 2020 or 2021. Kampala District had the lowest completeness (38% and 32% in 2020 and 2021, respectively) and the lowest timeliness (19% in both 2020 and 2021). Referral hospitals and private owned health facilities did not attain any of the targets, and had the poorest reporting rates throughout 2020 and 2021.ConclusionWeekly surveillance reporting on epidemic prone diseases improved modestly over time, but timeliness of reporting was poor. Further investigations to identify barriers to reporting timeliness for surveillance data are needed to address the variations in reporting.

Uptake of prevention of mother-to-child transmission cascade services in Burkina Faso between 2013 and 2020: are we on the right track?

BackgroundThe use of services to prevent mother-to-child transmission (PMTCT) of the human immunodeficiency virus (HIV) remains a serious challenge in sub-Saharan Africa. In the last decade, Burkina Faso has implemented numerous policies to increase the use of PMTCT services by pregnant women and their partners, as well as children. This study assesses trends in the uptake of PMTCT services in Burkina Faso from 2013 to 2020 in order to study the progress and gaps in achieving the national and international targets set for 2020.MethodsA repeated cross-sectional analysis was performed using data extracted from district health information software version 2. Percentages were computed for each PMTCT indicator and comparisons between the years were made using a chi-square test for trends with a significance threshold of 5%. Regions were not compared with each other.ResultsThe proportion of pregnant women who were tested and received their results significantly increased from 47.9% in 2013 to 84.6% in 2020 (p value < 0.001). Of the 13 regions in the country, only 1 region met the 95% national targets whereas, 6 regions met the 90% international targets for this indicator. The proportions of HIV-positive women receiving antiretroviral therapy (ART) increased from 90.8% in 2013 to 100% in 2020. In the same period, the proportion of exposed infants who received antiretroviral prophylaxis increased from 64.3% in 2013 to 86.8% in 2020. Only 3 regions reached the national and international targets for this indicator. A positive trend was also observed for the indicator related to screening at 2 months or later of exposed infants using Polymerase Chain Reaction (PCR) technic; with the rate rising from 7.4% in 2013 to 75.7% in 2020. However, for this indicator, the national and international targets were not achieved considering the national and regional settings. Concerning the women’s partners, the proportion of those who tested for HIV increased from 0.9% in 2013 to 4.5% in 2020, with only 1 region that fully met the national target of 10% in 2020. The prevalence of HIV in this particular group was 0.5% in 2020.ConclusionsPMTCT indicators show an increase from 2013 to 2020 but with a strong disparity between regions. National and international targets have not been achieved for any indicator; except for those related to women receiving ART. Strengthening strategies to effectively engage women and their partners on the use of PMTCT cascade services could help reduce mother-to-child transmission in Burkina Faso.

Uganda's experience in establishing an electronic compendium for public health emergencies.

Uganda has implemented several interventions that have contributed to prevention, early detection, and effective response to Public Health Emergencies (PHEs). However, there are gaps in collecting and documenting data on the overall response to these PHEs. We set out to establish a comprehensive electronic database of PHEs that occurred in Uganda since 2000. We constituted a core development team, developed a data dictionary, and worked with Health Information Systems Program (HISP)-Uganda to develop and customize a compendium of PHEs using the electronic Integrated Disease Surveillance and Response (eIDSR) module on the District Health Information Software version 2 (DHIS2) platform. We reviewed literature for retrospective data on PHEs for the compendium. Working with the Uganda Public Health Emergency Operations Center (PHEOC), we prospectively updated the compendium with real-time data on reported PHEs. We developed a user's guide to support future data entry teams. An operational compendium was developed within the eIDSR module of the DHIS2 platform. The variables for PHEs data collection include those that identify the type, location, nature and time to response of each PHE. The compendium has been updated with retrospective PHE data and real-time prospective data collection is ongoing. Data within this compendium is being used to generate information that can guide future outbreak response and management. The compendium development highlights the importance of documenting outbreak detection and response data in a central location for future reference. This data provides an opportunity to evaluate and inform improvements in PHEs response.

Web API evolution patterns: A usage-driven approach

As the use of Application Programming Interfaces (APIs) is increasingly growing, their evolution becomes more challenging in terms of the service provided according to consumers’ needs. In this paper, we address the role of consumers’ needs in WAPIs evolution and introduce a process mining pattern-based method to support providers in WAPIs evolution by analyzing and understanding consumers’ behavior, imprinted in WAPI usage logs. We take the position that WAPIs’ evolution should be mainly usage-based, i.e., the way consumers use them should be one of the main drivers of their changes. We start by characterizing the structural relationships between endpoints, and next, we summarize these relationships into a set of behavioral patterns (i.e., usage patterns whose occurrences indicate specific consumers’ behavior like repetitive or consecutive calls), that can potentially imply the need for changes (e.g., creating new parameters for endpoints, merging endpoints). We analyze the logs and extract several metrics for the endpoints and their relationships, to then detect the patterns. We apply our method in two real-world WAPIs from different domains, education, and health, respectively the WAPI of Barcelona School of Informatics at the Polytechnic University of Catalonia (Facultat d’Informàtica de Barcelona, FIB, UPC), and District Health Information Software 2 (DHIS2) WAPI. The feedback from consumers and providers of these WAPIs proved the effectiveness of the detected patterns and confirmed the promising potential of our approach.

Impact of COVID-19 on Biological Diagnosis of Malaria: Case of the Thierno Mouhamadoul Mansour Barro Hospital in Mbour, Senegal

Background: In Africa, malaria-endemic regions have not been spared from COVID-19 outbreak which emerged in the first quarter of 2020. This pandemic has shown clinical and therapeutic similarities with malaria. This following study sought to determine the impact of COVID-19 on the malaria diagnosis. Method: A review of laboratory registers and an exploitation of the District Health Information Software 2 (DHIS2) to collect information on the diagnosis of malaria by microscopy and by rapid diagnostic test (RDT), but also that of COVID-19 was done from 2017 to 2021 at the Thierno Mouhamadoul Mansour Hospital in Mbour, Senegal. Results: In 2017, 199 Thick drops (TDs) and 1852 RDTs were performed for malaria diagnosis. In 2018, it was 2352 malaria tests with 2138 RDTs and 214 TDs, before reaching a peak of 3943 tests in 2019 including 3742 RDTs and 201 TDs. By 2020, 2263 tests were performed with 2097 malaria RDTs, 158 TDs and 8 COVID RDTs. The latter increased significantly in 2021, reaching 444 COVID RDTs, while TDs and malaria RDT kept decreasing to 147 and 1036 respectively. Positive TDs were higher in 2020 (11.4%) compared to 2017 (3.5%), 2018 (1.4%), 2019 (6.5%) and 2021 (6.8%). For malaria RDTs, a decrease in the number of positive tests was noted between 2017 (4.5%) and 2021 (1.3%). The COVID RDTs were all negative in 2020, 29.5% were positive and 4.1% were undetermined in 2021. Conclusion: COVID-19 has led to changes in efforts to diagnose malaria as well as an increase in malaria prevalence directed towards children under 5 years of age.

Quality improvement dashboard for healthcare providers and targeted client communication to pregnant women to improve timely attendance and quality of antenatal care: A multi-arm cluster randomized trial (the eRegCom trial)

Abstract Background: Digital health interventions can strengthen coverage and quality of care. Our aim was to assess the effectiveness of targeted client communication (TCC) to pregnant women via text messages, health care provider communication via a quality improvement dashboard (QID) and the combination of TCC and QID—generated and delivered from a digital maternal and child health registry (MCH eRegistry), running on the District Health Information Software 2 (DHIS2) platform in West Bank and Gaza. The control was the regular MCH eRegistry. Methods: We included 137 clusters in a four-arm cluster randomized controlled trial. Primary outcomes were appropriate screening and management of anemia, hypertension and diabetes during pregnancy, and timely attendance to routine antenatal care (ANC). Results: The COVID-19 pandemic interrupted the trial, which failed to achieve the estimated sample size. Between 1 December 2019 and 23 March 2020, 4138 women attended ANC in the TCC, 3553 in the QID, 4223 in the TCC &amp; QID and 3324 in the control arm. In the TCC arm, 76.5% of the visits were attended timely versus 73.4% in the control arm, (adjusted odds ratio, 1.2; 95% confidence interval, 0.90–1.61). We found no difference between QID and control, or between TCC &amp; QID control in the proportion of visits where anemia, hypertension and diabetes were appropriately screened and managed. Conclusion: The routine individual-level data of the MCH eRegistry enabled the implementation of theory-driven TCC and QID. However, the COVID-19 pandemic interrupted this trial of TCC and QID, and we were unable to observe any significant effect. Trial registration: ISRCTN Registry, ISRCTN10520687.