Evidence map›Paper›PMID 27605718›Full record

Observational studyGhana medical journal2016

Evaluation of the reporting completeness and timeliness of the integrated disease surveillance and response system in northern Ghana.

Martin Nyaaba Adokiya, J Koku Awoonor-Williams, Claudia Beiersmann, Olaf Müller

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Ghana medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
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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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

4 authors.

Martin Nyaaba AdokiyaInstitute Of Public Health, University of Heidelberg, INF 324, D-69120 Heidelberg, Germany; Department of Allied Health Sciences, School of Medicine & Health Sciences, University for Development Studies, Box TL 1350, Tamale, Ghana.
J Koku Awoonor-WilliamsRegional Health Directorate, Ghana Health Service, Upper East Region, Bolgatanga, Ghana.
Claudia BeiersmannInstitute Of Public Health, University of Heidelberg, INF 324, D-69120 Heidelberg, Germany.
Olaf MüllerInstitute Of Public Health, University of Heidelberg, INF 324, D-69120 Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe integrated disease surveillance and response (IDSR) and district health information management system II (DHIMS2) strategies were implemented in 2002 and 2012 respectively to improve surveillance data reporting and quality. The objective of this study was to evaluate the reporting completeness and timeliness of the IDSR system at the sub-national level in northern Ghana.

methodsThis was an observational study in Upper East Region (UER). Weekly and monthly disease surveillance reports on completeness and timeliness were downloaded and analysed for 2012 and 2013 from the DHIMS2 in UER, the two Kassena-Nankana districts and their nine health facilities representing public, private and mission providers. Comparison of paper-based and DHIMS2 reporting from the periphery health facilities were assessed.

resultsIDSR monthly reporting completeness and timeliness in UER increased by 9% and 37% respectively in 2013 compared to 2012 and weekly completeness and timeliness improved by 79% and 24% respectively in 2013. Similar reporting increases were seen in the districts and health facilities over the same period, except the Kassena-Nankana Municipal which showed decrease of 2% in monthly completeness for 2013. At the health facilities, the paper-based reporting completeness was 96% and timeliness 45% while DHIMS2 completeness was 83% and timeliness 18% in 2012. However, DHIMS2 reporting completeness and timeliness improved in 2013 reaching 100% and 61% respectively.

conclusionsDisease surveillance reporting through DHIMS2 became more complete over time, but there remain problems with timeliness. Surveillance data need to be timely to enable rapid responses to disease outbreaks.

Indexed as

Data CollectionDisease OutbreaksEvaluation Studies as TopicGhanaHealth Information SystemsHumansPopulation Surveillancecompletenessdisease surveillanceGhanahealth information systemtimeliness

Identifiers

PMID27605718
PMCPMC4994486

What OpenQuestion holds

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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.