Evidence map›Paper›PMID 39523343›Full record

ArticleConflict and health2024

Feasibility and challenges in sustaining a community based surveillance system in post-Ebola Sierra Leone.

Christina Mergenthaler, Ankie van den Broek, Noor Tromp, Kimberly Nehal, Jip Janssen, Shiyong Wang, T T Samba, Mohammed Vandhi, Alpha Augustin Kombo, Osman Sankoh and 2 more

Abstract read
In one paragraph

Article in Conflict and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Christina MergenthalerKIT Royal Institute, Mauritskade 63, 1092, Amsterdam, AD, The Netherlands. c.mergenthaler@kit.nl.
Ankie van den BroekKIT Royal Institute, Mauritskade 63, 1092, Amsterdam, AD, The Netherlands.
Noor TrompKIT Royal Institute, Mauritskade 63, 1092, Amsterdam, AD, The Netherlands.
Kimberly NehalKIT Royal Institute, Mauritskade 63, 1092, Amsterdam, AD, The Netherlands.
Jip JanssenKIT Royal Institute, Mauritskade 63, 1092, Amsterdam, AD, The Netherlands.
Shiyong WangWorld Bank Group, Washington D.C, USA.
T T SambaSierra Leone Ministry of Health and Sanitation, 4th & 5th Floors Youyi Building, Freetown, Sierra Leone.
Mohammed VandhiSierra Leone Ministry of Health and Sanitation, 4th & 5th Floors Youyi Building, Freetown, Sierra Leone.
Alpha Augustin KomboSierra Leone Ministry of Health and Sanitation, 4th & 5th Floors Youyi Building, Freetown, Sierra Leone.
Osman SankohStatistics Sierra Leone, 1B King Street (Kona Lodge), Freetown, Sierra Leone.
M Koblo KamaraStatistics Sierra Leone, 1B King Street (Kona Lodge), Freetown, Sierra Leone.
Mirjam I BakkerKIT Royal Institute, Mauritskade 63, 1092, Amsterdam, AD, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn outbreak-prone settings, community-based surveillance (CBS) systems can alert health authorities to respond in a timely manner where suspected cases of disease are being reported. After the 2014-2016 Ebola outbreak, the WHO and other stakeholders supported the establishment of CBS in Sierra Leone, for which community health workers (CHW) were trained to collect and report symptoms data of 11 priority health conditions in their communities. Our study objective was to assess feasibility and challenges to sustain CBS in a low resource setting as part of a World Bank evaluation of Sierra Leone's Ministry of Health and Sanitation's (MoHS) CBS and electronic Integrated Disease Surveillance & Response (eIDSR) systems.

methodsIn 2019 we conducted a mixed methods assessment consisting of a household incidence survey, health facility survey, household case verification survey, a costing analysis, and in-depth interviews and focus group discussions with key stakeholders of the CBS system in eight chiefdoms of 4 purposefully selected districts in Sierra Leone. The study period for primary data collection was February through April 2019. We also conducted secondary data analysis of surveillance data in DHIS2 of all 32 chiefdoms.

resultsIn districts where CBS was 'fully functional', the number and type of CBS alerts corresponded to the number and type of diseases reported through facility based eIDSR system in the same period. However under-reporting of diarrhea and measles suspects from the community still appeared to occur, and reporting deteriorated when primary health care staff including CHWs reported the stoppage of stipends. The annual budget impact for CBS was estimated at 4.4 million USD in 2018. The majority of costs were made at community level (73%) compared to regional (0.3%), primary health unit (21%), district (4%) and national (2%) level. The most important costs drivers were training of CHWs (59% of total costs) and salaries (including stipends of the CHWs) of human resources (15%). Barriers included sustainable financing of human resources, internet connectivity, as well as limited trainings and supportive supervision, and unsupported transportation costs for CHWs and peer supervisors (PS). CHWs and community members reported that communities are more willing to share information about health issues compared to the pre-CBS implementation period.

conclusionsThe similarity between CBS and IDSR reports support the possibility that CBS increases the sensitivity of disease surveillance to the level of the community, which would enable local authorities to take early prevention measures when and where impact will be the greatest. Qualitative interviews suggest that CBS has improved the interface between the community and primary level of the health system. However if the barriers to sustainability are left unaddressed, opportunities for CBS to prevent disease outbreaks will go unrealized.

Identifiers

PMID39523343
PMCPMC11550538

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.