Evidence map›Paper›PMID 25648630›Full record

Observational studyBMC public health2015

Evaluation of the integrated disease surveillance and response system for infectious diseases control in northern Ghana.

Martin Nyaaba Adokiya, John Koku Awoonor-Williams, Inuwa Yau Barau, Claudia Beiersmann, Olaf Mueller

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 8 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

49 citing papers in PubMed, 8 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

5 authors.

Martin Nyaaba AdokiyaInstitute of Public Health, University of Heidelberg, Im Neuenheimer Feld 324, D-69120, Heidelberg, Germany. nyaaba1979@yahoo.com.
John Koku Awoonor-WilliamsGhana Health Service, Upper East Regional Directorate, Bolgatanga, Ghana. kawoonor@gmail.com.
Inuwa Yau BarauNational Primary Health Care Development Agency, Ministry of Health, Abuja, Nigeria. inuwabarau@yahoo.com.
Claudia BeiersmannInstitute of Public Health, University of Heidelberg, Im Neuenheimer Feld 324, D-69120, Heidelberg, Germany. beiersmann@uni-heidelberg.de.
Olaf MuellerInstitute of Public Health, University of Heidelberg, Im Neuenheimer Feld 324, D-69120, Heidelberg, Germany. olaf.mueller@urz.uni-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWell-functioning surveillance systems are crucial for effective disease control programs. The Integrated Disease Surveillance and Response (IDSR) strategy was developed and adopted in 1998 for Africa as a comprehensive public health approach and subsequently, Ghana adopted the IDSR technical guidelines in 2002. Since 2012, the IDSR data is reported through the new District Health Information Management System II (DHIMS2) network. The objective was to evaluate the Integrated Disease Surveillance and Response (IDSR) system in northern Ghana.

methodsThis was an observational study using mixed methods. Weekly and monthly IDSR data on selected infectious diseases were downloaded and analyzed for 2011, 2012 and 2013 (the years before, of and after DHIMS2 implementation) from the DHIMS2 databank for the Upper East Region (UER) and for two districts of UER. In addition, key informant interviews were conducted among local and regional health officers on the functioning of the IDSR.

resultsClinically diagnosed malaria was the most prevalent disease in UER, with an annual incidence rate close to 1. Around 500 suspected HIV/AIDS cases were reported each year. The highest incidence of cholera and meningitis was reported in 2012 (257 and 392 cases respectively). Three suspected cases of polio and one suspected case of guinea worm were reported in 2013. None of the polio and guinea worm cases and only a fraction of the reported cases of the other diseases were confirmed. A major observation was the large and inconclusive difference in reported cases when comparing weekly and monthly reports. This can be explained by the different reporting practice for the sub-systems. Other challenges were low priority for surveillance, ill-equipped laboratories, rare supervision and missing feedback.

conclusionsThe DHIMS2 has improved the availability of IDSR reports, but the quality of data reported is not sufficient. Particularly the inconsistencies between weekly and monthly data need to be addressed. Moreover, support for and communication within the IDSR system is inadequate and calls for attention.

Indexed as

Communicable Disease ControlProgram EvaluationSystems IntegrationAfricaFemaleGhanaHumansInterviews as TopicMalePopulation SurveillancePublic HealthQualitative Research

Identifiers

PMID25648630
PMCPMC4331174

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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.