Evidence map›Paper›PMID 33069245›Full record

ArticleMalaria journal2020

Evaluation of the malaria reporting system supported by the District Health Information System 2 in Solomon Islands.

Kinley Wangdi, Haribondu Sarma, John Leaburi, Emma McBryde, Archie C A Clements

Abstract read
In one paragraph

Article in Malaria journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

5 authors.

Kinley WangdiDepartment of Global Health, Research School of Population Health, College of Health and Medicine, The Australian National University, 62 Mills Road, Canberra, ACT 2601, Australia. kinley.wangdi@anu.edu.au.ORCID http://orcid.org/0000-0002-8857-2665
Haribondu SarmaNational Centre of Epidemiology and Population Health, Research School of Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.
John LeaburiNational Vector Borne Disease Control Programme, Ministry of Health and Medical Services, Honiara, Solomon Islands.
Emma McBrydeAustralian Institute of Tropical Health & Medicine, Centre for Biosecurity in Tropical Infectious Diseases, James Cooks University, Townsville, Australia.
Archie C A ClementsFaculty of Health Sciences, Curtin University, Bentley, Australia.

Funding

Department of Foreign Affairs and Trade, Australian Government APP1132153
6 · The paper itself

Abstract

backgroundDistrict Health Information Systems 2 (DHIS2) is used for supporting health information management in 67 countries, including Solomon Islands. However, there have been few published evaluations of the performance of DHIS2-enhanced disease reporting systems, in particular for monitoring infectious diseases such as malaria. The aim of this study was to evaluate DHIS2 supported malaria reporting in Solomon Islands and to develop recommendations for improving the system.

methodsThe evaluation was conducted in three administrative areas of Solomon Islands: Honoria City Council, and Malaita and Guadalcanal Provinces. Records of nine malaria indicators including report submission date, total malaria cases, Plasmodium falciparum case record, Plasmodium vivax case record, clinical malaria, malaria diagnosed with microscopy, malaria diagnosed with (rapid diagnostic test) (RDT), record of drug stocks and records of RDT stocks from 1st January to 31st December 2016 were extracted from the DHIS2 database. The indicators permitted assessment in four core areas: availability, completeness, timeliness and reliability. To explore perceptions and point of view of the stakeholders on the performance of the malaria case reporting system, focus group discussions were conducted with health centre nurses, whilst in-depth interviews were conducted with stakeholder representatives from government (province and national) staff and World Health Organization officials who were users of DHIS2.

resultsData were extracted from nine health centres in Honoria City Council and 64 health centres in Malaita Province. The completeness and timeliness from the two provinces of all nine indicators were 28.2% and 5.1%, respectively. The most reliable indicator in DHIS2 was 'clinical malaria' (i.e. numbers of clinically diagnosed malaria cases) with 62.4% reliability. Challenges to completeness were a lack of supervision, limited feedback, high workload, and a lack of training and refresher courses. Health centres located in geographically remote areas, a lack of regular transport, high workload and too many variables in the reporting forms led to delays in timely reporting. Reliability of reports was impacted by a lack of technical professionals such as statisticians and unavailability of tally sheets and reporting forms.

conclusionThe availability, completeness, timeliness and reliability of nine malaria indicators collected in DHIS2 were variable within the study area, but generally low. Continued onsite support, supervision, feedback and additional enhancements, such as electronic reporting will be required to further improve the malaria reporting system.

Indexed as

MalariaHealth Information ManagementHealth Information SystemsMelanesiaReproducibility of ResultsDistrict health information systems 2EvaluationInterviewMalariaReportingSolomon islands

Identifiers

PMID33069245
PMCPMC7568381

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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.