Data flows during public health emergencies in LMICs: A people-centered mapping of data flows during the 2018 ebola epidemic in Equateur, DRC.

In infectious outbreaks, rapid case detection and reporting, coordination, and context-specific strategies are needed for rapid containment. Data sharing between actors, and the speed and content of data flows, is essential for expediting epidemic response. In this study, researchers mapped data flows during the 2018 Ebola Virus Disease (EVD) outbreak in Equateur Province in the Democratic Republic of the Congo using semi-structured interviews, ethnographic research, and focus groups with EVD response actors. During this research, we mapped and tracked data collection, transmission, storage, sharing, and use patterns. Target participants included: key organizational actors in the EVD outbreaks responses, including local (primary health, community-based, hospital), provincial (MoPH, DRC Red Cross), and international (WHO, UN organizations, international first-responders) stakeholders. We found that a community-based surveillance system enabled the rapid detection of a hemorrhagic fever outbreak, resulting in the rapid laboratory confirmation of EVD. With the arrival of international organizations to provide support to the EVD response, routine surveillance systems continued to function robustly. However, the establishment of a vertical EVD response architecture created challenges for the response. Data flows during the Equateur outbreak were hampered by numerous challenges in the domains of early warning, line lists of cases, and contact tracing, which impeded surveillance and data flows. We therefore argue that structuring health information systems for preparedness requires taking a person-centered approach to data production, flow, and analysis.

Assessing routine health information system performance during the tenth outbreak of Ebola virus disease (2018-2020) in the Democratic Republic of the Congo: A qualitative study in North Kivu.

The Democratic Republic of Congo has implemented reforms to its national routine health information system (RHIS) to improve timeliness, completeness, and use of quality data. However, outbreaks can undermine efforts to strengthen it. We assessed the functioning of the RHIS during the 2018-2020 outbreak of Ebola Virus Disease (EVD) to identify opportunities for future development. We conducted a qualitative study in North Kivu, from March to May 2020. Semi-structured interviews were conducted with 34 key informants purposively selected from among the personnel involved in the production of RHIS data. The topics discussed included RHIS functioning, tools, compilation, validation, quality, sharing, and the use of data. Audio recordings were transcribed verbatim and thematic analysis was used to study the interviewees' lived experience. The RHIS retained its structure, tools, and flow during the outbreak. The need for other types of data to inform the EVD response created other parallel systems to the RHIS. This included data from Ebola treatment centers, vaccination against Ebola, points of entry surveillance, and safe and dignified burial. The informants indicated that the availability of weekly surveillance data had improved, while timeliness and quality of monthly RHIS reporting declined. The compilation of data was late and validation meetings were irregular. The upsurge of patients following the implementation of the free care policy, the departure of healthcare workers for better-paid jobs, and the high prioritization of the outbreak response over routine activities led to RHIS disruptions. Delays in decision-making were one of the consequences of the decline in data timeliness. Adequate allocation of human resources, equitable salary policy, coordination, and integration of the response with local structures are necessary to ensure optimal functioning of the RHIS during an outbreak. Future research should assess the scale of data quality changes during outbreaks.

Assessing the management of healthcare waste for disease prevention and environment protection at selected hospitals in Kinshasa, Democratic Republic of Congo.

Incineration is the most used healthcare waste (HCW) disposal method. Disease outbreaks due to Ebola virus and SARS-CoV2 require attention to HCW management to avoid pathogens spread and spillover. This study describes HCW management prior to incineration and hospital incinerators performance by analysing bottom ashes from hospitals in Kinshasa, Democratic Republic of Congo. We used semi-structured interviews to capture information on pre-incineration waste management and analysed the chemical composition of 27 samples of incinerator bottom ashes using the energy dispersive X-ray fluorescence. Neither sorting nor waste management measures were applied at hospitals surveyed. Incinerator operators were poorly equipped and their knowledge was limited. The bottom ash concentrations of cadmium, chromium, nickel and lead ranged between 0.61-10.44, 40.15-737.01, 9.11-97.55 and 16.37-240.03 mg kg-1, respectively. Compared to Chinese incinerator performance, the concentrations of some elements were found to be lower than those from China. This discrepancy may be explained by the difference in the composition of HCW. The authors conclude that health care waste in Kinshasa hospitals is poorly managed, higher concentrations of heavy metals are found in incinerator bottom ashes and the incinerators quality is poor. They recommend the strict application of infection prevention control measures, the training of incinerator operators and the use of high-performance incinerators.

Impact of a free care policy on the utilisation of health services during an Ebola outbreak in the Democratic Republic of Congo: an interrupted time-series analysis.

BACKGROUND: During past outbreaks of Ebola virus disease (EVD) and other infectious diseases, health service utilisation declined among the general public, delaying health seeking behaviour and affecting population health. From May to July 2018, the Democratic Republic of Congo experienced an outbreak of EVD in Equateur province. The Ministry of Public Health introduced a free care policy (FCP) in both affected and neighbouring health zones. We evaluated the impact of this policy on health service utilisation. METHODS: Using monthly data from the national Health Management Information System from January 2017 to January 2019, we examined rates of the use of nine health services at primary health facilities: total visits; first and fourth antenatal care visits; institutional deliveries; postnatal care visits; diphtheria, pertussis and tetanus (DTP) vaccinations and visits for uncomplicated malaria, pneumonia and diarrhoea. We used controlled interrupted time series analysis with a mixed effects model to estimate changes in the rates of services use during the policy (June-September 2018) and afterwards. FINDINGS: Overall, use of most services increased compared to control health zones, including EVD affected areas. Total visits and visits for pneumonia and diarrhoea initially increased more than two-fold relative to the control areas (p<0.001), while institutional deliveries and first antenatal care increased between 20% and 50% (p<0.01). Visits for DTP, fourth antenatal care visits and postnatal care visits were not significantly affected. During the FCP period, visit rates followed a downward trend. Most increases did not persist after the policy ended. INTERPRETATION: The FCP was effective at rapidly increasing the use of some health services both EVD affected and not affected health zones, but this effect was not sustained post FCP. Such policies may mitigate the adverse impact of infectious disease outbreaks on population health.