Evidence map›Paper›PMID 37192800›Full record

Observational studyBMJ open2023

Contextually appropriate communication strategies for COVID-19 prevention in Kenya border regions: evidence from a mixed methods observational study in Busia and Mandera counties.

Lydia Kaduka, Joanna Olale, Alexis Karamanos, Joseph Mutai, Clare Coultas, Ismail Ahmed, Veline L'Esperance, Ursula Read, Paola Dazzan, John Kennedy Cruickshank and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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

12 authors at 3 institutions in 2 countries.

Lydia KadukaCentre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya lkaduka@kemri.go.ke.ORCID 0000-0001-8746-0533
Joanna OlaleCentre for Clinical Research, Kenya Medical Research Institute, Nairobi, Kenya.
Alexis KaramanosFaculty of Life Sciences & Medicine, School of Life Course Science, King's College London, London, UK.
Joseph MutaiCentre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya.
Clare CoultasSchool of Medical Education, King's College London, London, UK.
Ismail AhmedCentre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya.
Veline L'EsperanceSchool of Population Health and Environmental Sciences, King's College London, London, UK.
Ursula ReadWarwick Medical School, University of Warwick, Coventry, UK.
Paola DazzanInstitute of Psychiatry Psychology and Neuroscience, King's College London, London, UK.
John Kennedy CruickshankFaculty of Life Sciences & Medicine, School of Life Course Science, King's College London, London, UK.
Erastus MuniuCentre for Public Health Research, Kenya Medical Research Institute, Nairobi, Kenya.
Seeromanie HardingFaculty of Life Sciences & Medicine, School of Life Course Science, King's College London, London, UK.
King's College London · GBKenya Medical Research Institute · KEUniversity of Warwick · GB

Funding

Department of Health NIHR203318Department of Health NIHR7\1004Medical Research Council MR/N015959/1Medical Research Council MR/R022739/1Medical Research Council MR/S009035/1
6 · The paper itself

Abstract

objectivesKenya has long and porous borders with its neighbouring countries. These regions, predominantly inhabited by highly mobile rural communities with strong cross-border cultural ties, present major challenges in managing movement of people and COVID-19 preventive measures. Our study sought to assess knowledge of COVID-19 prevention behaviours, how these varied by socioeconomic (SEC) factors and the challenges of engagement and implementation, in two border counties of Kenya.

methodsWe conducted a mixed methods study using a household e-survey (Busia, N=294; Mandera, N=288; 57% females, 43% males), and qualitative telephone interviews (N=73: Busia 55; Mandera 18) with policy actors, healthcare workers, truckers and traders, and community members. Interviews were transcribed, English translated and analysed using the framework method. Associations between SEC (wealth quintiles, educational level) and knowledge of COVID-19 preventive behaviours were explored using Poisson regression.

resultsParticipants were mostly educated to primary school level (54.4% Busia, 61.6% Mandera). Knowledge of COVID-19 prevention varied by behaviour: hand washing-86.5%, use of hand sanitiser-74.8%, wearing a face mask-63.1%, covering the mouth when sneezing or coughing-56.3% and social distancing-40.1%. Differences in knowledge by area, educational level and the wealth index were marked, greatest for Mandera, the less educated and the poor. Interviews with stakeholders revealed challenges in health messaging, psychosocial and socioeconomic factors, lack of preparedness for truck border crossings, language barrier, denial and livelihood insecurity as key challenges to engagement with and implementation of COVID-19 prevention behaviours in the border regions.

conclusionThe influence of SEC disparities and border dynamics on knowledge and engagement with COVID-19 prevention behaviours calls for contextually appropriate risk communication strategies that are cognisant of community needs and local patterns of information flow. Coordinating response measures across border points is crucial in winning communities' trust and maintaining essential economic and social activities.

Indexed as

COVID-19CommunicationFemaleHumansKenyaMaleSocioeconomic FactorsCOVID-19EPIDEMIOLOGYPREVENTIVE MEDICINEPublic health

Identifiers

PMID37192800
PMCPMC10192579
OpenAlexW4376871773

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.