Evidence map›Paper›PMID 27175031›Full record

ArticleHealth policy and planning2016

One year of campaigns in Cameroon: effects on routine health services.

Sandra Mounier-Jack, Jean Marie Edengue, Mylene Lagarde, Simon Franky Baonga, Pierre Ongolo-Zogo

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Article in Health policy and planning, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Sandra Mounier-JackLondon School of Hygiene & Tropical Medicine, London, UK sandra.mounier-jack@lshtm.ac.uk.
Jean Marie EdengueMinistry of Health, Yaoundé, Cameroon.
Mylene LagardeLondon School of Hygiene & Tropical Medicine, London, UK.
Simon Franky BaongaMinistry of Health, Yaoundé, Cameroon.
Pierre Ongolo-ZogoCentral Hospital, Yaoundé, Centre for Development of Best Practices in Health, Yaoundé, Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTargeted campaigns have been reported to disrupt routine health services in low- and middle-income countries. The objective of this study was to evaluate the average effect of public health campaigns over 1 year on routine services such as antenatal care, routine vaccination and outpatient services.

methodWe collected daily activity data in 60 health facilities in two regions of Cameroon that traditionally undergo different intensities of campaign activity, the Centre region (low) and the Far North (high), to ascertain effects on routine services. For each outcome, we restricted our analysis to the public health centres for which good data were available and excluded private health facilities given their small number. We used segment-linear regression to account for the longitudinal nature of the data, and assessed whether the number of routine activities decreased in health facilities during periods when campaigns occurred. The analysis controlled for secular trends and serial correlation.

resultsWe found evidence that vaccination campaigns had a negative impact on routine activities, decreasing outpatient visits when they occurred (Centre: -9.9%, P = 0.079; Far North: -11.6%, P = 0.025). The average negative effect on routine services [outpatient visits -18% (P = 0.02) and antenatal consultations -70% [P = 0.001]) was most pronounced in the Far North during 'intensive' campaigns that usually require high mobilization of staff. DISCUSSION: With an increasing number of interventions delivered by campaigns and in the context of elimination and eradication targets, these are important results for countries and agencies to consider. Achieving disease control targets hinges on ensuring high uptake of routine services. Therefore, we suggest that campaigns should systematically monitor 'impact on routine services', while also devising concrete strategies to mitigate potential adverse effects.

Indexed as

CameroonDelivery of Health CareDeveloping CountriesHealth FacilitiesHealth PromotionImmunizationPrenatal CarePrimary Health CareEvaluationhealth serviceshealth systemsimmunization

Identifiers

PMID27175031
PMCPMC5035779

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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.