Keywords
Health Systems Strengthening, SORT IT, Sustainable Development Goals, Artemisinin Combination Therapy
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Health Systems Strengthening, SORT IT, Sustainable Development Goals, Artemisinin Combination Therapy
A cross-sectional study conducted in 20171 involving 68 primary health facilities in Koinadugu district of rural Sierra Leone compared the management of children with fever for malaria for a period before, during and after the Ebola outbreak. There were two key findings. First, less than half of all confirmed malaria cases were treated for malaria during the Ebola outbreak. As fever is a common symptom of both malaria and Ebola, health workers may have “played safe” by simply referring such children to Ebola management sites2. Second, monthly utilization of malaria diagnostics closely matched the number of reported fever cases, implying that fever cases were being routinely subjected to malaria testing3.
Although the post-Ebola period was included in this evaluation, it was for a relatively short period (six months) which was probably too soon to gauge health system recovery. At the primary healthcare level in the same district and among children under five, we thus performed a new analysis with a longer post-Ebola period and compared these data for similar periods before and during the Ebola outbreak. Our specific objectives were to determine: a) numbers of reported fever cases and malaria tests done, and b) numbers treated for malaria with artemisinin combination treatment (ACT) and within 24 hours of fever onset
This was a cross-sectional study using routine program data. The setting has been previously described1. The study population included all children under five with fever who presented to 68 primary healthcare units. Malaria management was in line with national guidelines and has been described previously4. In brief, all individuals presenting with fever to any given health facility were subjected to a malaria diagnostic test, which may involve a Rapid Diagnostic Test (RDT) or microscopy. Only confirmed malaria cases should receive ACT.
The study spanned a pre-Ebola (June 1 2013 – April 30 2014), intra-Ebola (June 1 2014 – April 30 2015) and post Ebola (June 1 2016 – April 30 2017) periods.
Data were sourced directly from routine morbidity registers available at each health facility. A data manager was responsible for data quality, and a dedicated data entry clerk performed data entry. We used EpiData software for data entry and analysis (version 4.1 for entry and version 2.2.2.182 for analysis; EpiData Association, Odense, Denmark).
Ethics approval was obtained from the Sierra Leone Ethics and Scientific Review Committee (dated 18 December 2018) and the Union Ethics Advisory Group (International Union against Tuberculosis and Lung Disease, Paris, France; EAG number 70/18). As we used aggregated data, the need for informed consent was waived by the ethics committees.
Table 1 shows the numbers of fever cases reported and malaria tests done during the pre-, intra- and post-Ebola periods (see underlying data5). Fever cases increased from 43,245 pre-Ebola to 74,367 post-Ebola (1.7-fold increase). Diagnosed malaria among fever cases ranged between 66% and 75%. During Ebola, all diagnosed malaria cases had malaria tests, while in the pre- and post-Ebola periods, 99% received testing and 1% was diagnosed on clinical grounds.
Pre-Ebola | Intra-Ebola | Post-Ebola | Total | |||||
---|---|---|---|---|---|---|---|---|
n | (%) | n | (%) | n | (%) | n | (%) | |
Reported fever cases (suspected malaria) | 43,245 | 50,453 | 74,367 | 168,065 | ||||
Diagnosed with malaria | ||||||||
Total | 32,505 | 36,804 | 49,186 | 118,495 | ||||
Confirmed malaria2 | 32,219 | (99) | 36,804 | (100) | 49,128 | (99) | 118,151 | (99) |
Clinically diagnosed3 | 286 | (1) | 0 | (0) | 58 | (<1) | 344 | (<1) |
Table 2 shows numbers treated for malaria in relation to ACT and timing of fever onset. While all diagnosed malaria cases received treatment in the pre- and post-Ebola periods, only 47% were treated during Ebola. ACT use was 95% pre-Ebola, 99% intra-Ebola and dropped to 71% post-Ebola. In the post-Ebola period, out of 68 health facilities, an average of 7.5 facilities per month had 7 days stockouts of ACT.
Pre-Ebola | Intra-Ebola | Post-Ebola | Total | ||||
---|---|---|---|---|---|---|---|
n | (%) | n | (%) | n | (%) | n | |
Total diagnosed with malaria | 32,505 | 36,804 | 49,186 | 118,495 | |||
Treated for malaria | 32,505 | (100) | 17,438 | (47) | 49,186 | (100) | 99,129 |
Treatment type | |||||||
with ACT2 | 30,922 | (95) | 17,417 | (99) | 34,894 | (71) | 83,233 |
with other antimalarials3 | 1,583 | (5) | 21 | (1) | 14,292 | (29) | 15,896 |
Treatment timing | |||||||
within 24 hours of fever onset4 | 21,817 | (67) | 12,682 | (73) | 34,894 | (71) | 69,393 |
1ACT: Artemisinin-based Combination Therapy. Percentage of all treated with ACT is calculated out of total positive Malaria cases
2Injectable artesunate, rectal artesunate, quinine tablets, injectable quinine. Percentage treated with other antimalarials is calculated out of total treated for malaria
3Percentage treated within 24 hours of fever onset is calculated out of total treated for malaria
This study shows that despite the Ebola outbreak, the number of reported fever cases progressively increased and was 1.7 times higher post-Ebola compared to the pre-Ebola period.
Reassuringly, while less than half of malaria cases received treatment with ACT drugs during Ebola, in the post-Ebola period, all cases received treatment (which included ACT and other anti-malarial drugs). ACT use declined from 99% during Ebola to 71% post-Ebola, and this was accompanied with ACT stock-outs. This could be explained by the increase in numbers needed to be treated for malaria in the post-Ebola period (2.8-times that during Ebola), which might have caused pressure on available ACT stocks and supply chains.
As part of Sierra Leone’s post-Ebola health recovery strategy6, more health personnel were trained in surveillance and reporting, incentives were introduced, and community involvement was promoted. Operationally, this seems to have increased health service utilisation for malaria, but the health system seemed unable to cope with the increased ACT demand. This needs to be addressed in order to ensure compliance with malaria treatment guidelines and the rational use of antimalarial drugs.
The main study strength is that we used data from all health facilities in the district and compared similar periods of time before, during and after the Ebola outbreak. A study limitation was the lack of data on complicated and uncomplicated malaria cases. Availability of such information would help to justify (or not) the use of other antimalarial drugs apart from ACT which was seen in the post-Ebola period. A short-coming in the district health information system (DHIS2) is that it does not capture severity of malaria (complicated and uncomplicated malaria). Adding this variable would improve monitoring of rational use of antimalarials.
In conclusion, what has changed since the Ebola outbreak is the increased utilisation of services for malaria. However, ACT stockouts are of concern, and this requires attention in order to ensure compliance with national malaria treatment guidelines.
Original, hard-copy data is accessible through consultation with the Ministry of Health and Sanitation’s District Health Management Team, Kabala, Koinadugu, Sierra Leone, led by Dr Kwame O’Neill, District Medical Officer (shakoneill@yahoo.com).
Open Science Framework: Dataset 1. Sesay_JosephB_SORTIT2_malaria_data 2019. https://doi.org/10.17605/OSF.IO/GS2CP5
This project contains the following underlying data:
Sesay_F_malaria_data.csv (CSV file contain Koinadugu district child malaria data)
Sesay_F_malaria_datadictionary.csv (Data dictionary for Sesay_F_malaria_data.csv)
Data are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
This research was conducted through the Structured Operational Research and Training Initiative (SORT IT), a global partnership coordinated by the Special Programme for Research and Training in Tropical Diseases at the World Health Organization (WHO/TDR) and implemented with partners. The training model is based on a course developed jointly by the International Union Against Tuberculosis and Lung Disease (The Union) and Medécins sans Frontières (MSF). The specific SORT IT programme which resulted in this publication was jointly developed and implemented by: WHO/TDR, the Sierra Leone Ministry of Health and Sanitation, WHO Sierra Leone and the Centre for Operational Research, The Union, Paris, France; Alliance for Public Health, Ukraine; Institute of Tropical Medicine, Antwerp, Belgium; and Sustainable Health Systems, Freetown, Sierra Leone.
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Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
I cannot comment. A qualified statistician is required.
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Pediatrician with experience in neuropediatrics and clinical trials, especially malaria vaccines
Is the work clearly and accurately presented and does it cite the current literature?
Partly
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Partly
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Partly
Competing Interests: No competing interests were disclosed.
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
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Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
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