Evidence map›Paper›PMID 26845546›Full record

ArticlePloS one2016

The Impact of Integrated Community Case Management of Childhood Diseases Interventions to Prevent Malaria Fever in Children Less than Five Years Old in Bauchi State of Nigeria.

Dele Abegunde, Nosa Orobaton, Amos Bassi, Olugbenga Oguntunde, Moyosola Bamidele, Masduq Abdulkrim, Ezenwa Nwizugbe

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 6% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Dele AbegundeJohn Snow Incorporated (JSI) Research and Training Institute, Boston, Massachusetts, United States of America.
Nosa OrobatonJohn Snow Incorporated (JSI) Research and Training Institute, Boston, Massachusetts, United States of America.
Amos BassiJohn Snow Incorporated (JSI) Research and Training Institute, Boston, Massachusetts, United States of America.
Olugbenga OguntundeJohn Snow Incorporated (JSI) Research and Training Institute, Boston, Massachusetts, United States of America.
Moyosola BamideleJohn Snow Incorporated (JSI) Research and Training Institute, Boston, Massachusetts, United States of America.
Masduq AbdulkrimJohn Snow Incorporated (JSI) Research and Training Institute, Boston, Massachusetts, United States of America.
Ezenwa NwizugbeJohn Snow Incorporated (JSI) Research and Training Institute, Boston, Massachusetts, United States of America.
John Snow (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria accounts for about 300,000 childhood deaths and 30% of under-five year old mortality in Nigeria annually. We assessed the impact of intervention strategies that integrated Patent Medicines Vendors into community case management of childhood-diseases, improved access to artemisinin combination therapy (ACT) and distributed bed nets to households. We explored the influence of household socioeconomic characteristics on the impact of the interventions on fever in the under-five year olds in Bauchi State Nigeria.

methodsA cross-sectional case-controlled, interventional study, which sampled 3077 and 2737 under-5 year olds from 1,588 and 1601 households in pre- and post-intervention periods respectively, was conducted from 2013 to 2015. Difference-in-differences and logistic regression analyses were performed to estimate the impact attributable to the interventions: integrated community case management of childhood illness which introduced trained public and private sector health providers and the possession of nets on the prevalence of fever.

resultsTwo-week prevalence of fever among under-fives declined from 56.6% at pre-intervention to 42.5% at post-intervention. Fever-prevention fraction attributable to nets was statistically significant (OR = 0.217, 95% CI: 0.08-0.33). Children in the intervention group had significantly fewer incidence of fever than children in the control group had (OR = 0.765, 95% CI: 0.67-0.87). Although being in the intervention group significantly provided 23.5% protection against fever (95% CI: 0.13-0.33), the post-intervention likelihood of fever was also significantly less than at pre-intervention (OR = 0.57, 95% CI: 0.50-0.65). The intervention protection fraction against fever was statistically significant at 43.4% (OR = 0.434, 95% CI: 0.36-0.50). Logistic regression showed that the odds of fever were lower in households with nets (OR = 0.72, 95% CI: 0.60-0.88), among children whose mothers had higher education, in the post-intervention period (OR = 0.39, 95% CI: 0.33-0.46) and in the intervention group (OR = 0.52, 95% CI: 0.48-0.66). The odds of fever increased with higher socio-economic status of households (17.9%-19.5%). Difference-in-differences showed that the interventions significantly reduced occurrence of fever in the intervention group (OR = 1.70, 95% CI: 1.36-2.14).

conclusionThe interventions were effective in reducing the prevalence and the likelihood of childhood malaria fever. Taken to scale, these can significantly reduce the burden of malaria fever in the under-five year old children.

Indexed as

Case ManagementChild Health ServicesDelivery of Health Care, IntegratedAge FactorsCase-Control StudiesChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMalariaMaleMosquito NetsNigeriaOdds RatioPrevalence

Identifiers

PMID26845546
PMCPMC4742484
OpenAlexW2259717916

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.