Evidence map›Paper›PMID 25885532›Full record

ArticlePloS one2015

The association between multiple sources of information and risk perceptions of tuberculosis, Ntcheu district, Malawi.

Robert Chizimba, Nicola Christofides, Tobias Chirwa, Isaac Singini, Chineme Ozumba, Simon Sikwese, Hastings T Banda, Rhoda Banda, Henry Chimbali, Bagrey Ngwira and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 16 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

12 authors at 7 institutions in 2 countries.

Robert ChizimbaHealth Department, Save the Children International, Lilongwe, Malawi; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Nicola ChristofidesSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Tobias ChirwaSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Isaac SinginiJohns Hopkins Research Project, College of Medicine, University of Malawi, Blantyre, Malawi.
Chineme OzumbaDepartment of Public Health, School of Health Sciences, Monash, South Africa.
Simon SikweseSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa; Pakachere Institute of Health and Development Communication, Blantyre, Malawi.
Hastings T BandaResearch for Equity and Community Health (REACH) Trust, Lilongwe, Malawi.
Rhoda BandaNational Tuberculosis Control Program, Community Health Sciences Unit, Ministry of Health, Lilongwe, Malawi.
Henry ChimbaliHealth Promotion Services, Ministry of Health, Lilongwe, Malawi.
Bagrey NgwiraDepartment of Community Health, College of Medicine, University of Malawi, Blantyre, Malawi.
Alister MunthaliCentre for Social Research, University of Malawi, Zomba, Malawi.
Peter NyasuluDepartment of Public Health, School of Health Sciences, Monash, South Africa; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
University of the Witwatersrand · ZAUniversity of Malawi · MWBlantyre Institute for Community Ophthalmology · MWIIE MSA · ZAMinistry of Health · MWPublic Health Institute of Malawi · MWResearch for Equity And Community Health Trust · MW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) is one of the main causes of death in developing countries. Awareness and perception of risk of TB could influence early detection, diagnosis and care seeking at treatment centers. However, perceptions about TB are influenced by sources of information.

aimThis study aimed to determine the association between multiple sources of information, and perceptions of risk of TB among adults aged 18-49 years.

methodsA cross-sectional study was conducted in Ntcheu district in Malawi. A total of 121 adults were sampled in a three-stage simple random sampling technique. Data were collected using a structured questionnaire. Perceptions of risk were measured using specific statements that reflected common myths and misconceptions. Low risk perception implied a person having strong belief in myths and misconceptions about TB and high risk perception meant a person having no belief in myths or misconceptions and demonstrated understanding of the disease.

resultsFemales were more likely to have low risk perceptions about TB compared to males (67.7% vs. 32.5%, p = 0.01). The higher the household asset index the more likely an individual had higher risk perceptions about TB (p = 0.006). The perception of risk of TB was associated with sources of information (p = 0.03). Use of both interpersonal communication and mass media was 2.8 times more likely to be associated with increased perception of risk of TB (Odds Ratio [OR] = 2.8; 95% Confidence interva1[CI]: 3.1-15. 6; p = 0.01). After adjusting for sex and asset ownership, use of interpersonal communication and mass media were more likely to be associated with higher perception of risk of TB (OR, 2.0; 95% CI: 1.65-10.72; p = 0.003) compared with interpersonal communication only (OR 1.6, 95%; CI: 1.13-8.98, p = 0.027).

conclusionThe study found that there was association between multiple sources of information, and higher perceptions of risk of TB among adults aged 18-49 years.

Indexed as

AdolescentAdultCross-Sectional StudiesDemographyFemaleHumansMalawiMaleMiddle AgedOdds RatioRisk FactorsSocioeconomic FactorsTuberculosisYoung Adult

Identifiers

PMID25885532
PMCPMC4401750
OpenAlexW2078718211

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.