Evidence map›Paper›PMID 31164071›Full record

ArticleStroke2019

Community-Level Knowledge and Perceptions of Stroke in Rural Malawi.

Hazzie Mvula, Christina Chisambo, Vitumbiko Nyirenda, Steffen Geis, Judith R Glynn, Amelia C Crampin, Moffat Nyirenda, Liam Smeeth, Richard Walker, Alison J Price

Abstract read
In one paragraph

Article in Stroke, 2019. 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
–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

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.

  1. Article
  2. Article
  3. Review
  4. Knowledge and perspectives of community members on risk assessment for stroke prevention using mobile health approaches in Nigeria.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2023
    Article
  5. Article
  6. 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

10 authors.

Hazzie MvulaFrom the Malawi Epidemiology and Intervention Research Unit, Lilongwe and Karonga (H.M., C.C., V.N., S.G., A.C.C., M.N., A.J.P.).
Christina ChisamboFrom the Malawi Epidemiology and Intervention Research Unit, Lilongwe and Karonga (H.M., C.C., V.N., S.G., A.C.C., M.N., A.J.P.).
Vitumbiko NyirendaFrom the Malawi Epidemiology and Intervention Research Unit, Lilongwe and Karonga (H.M., C.C., V.N., S.G., A.C.C., M.N., A.J.P.).
Steffen GeisFrom the Malawi Epidemiology and Intervention Research Unit, Lilongwe and Karonga (H.M., C.C., V.N., S.G., A.C.C., M.N., A.J.P.).
Judith R GlynnFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, United Kingdom (S.G., J.R.G., A.C.C., M.N., L.S., A.J.P.).
Amelia C CrampinFrom the Malawi Epidemiology and Intervention Research Unit, Lilongwe and Karonga (H.M., C.C., V.N., S.G., A.C.C., M.N., A.J.P.).
Moffat NyirendaFrom the Malawi Epidemiology and Intervention Research Unit, Lilongwe and Karonga (H.M., C.C., V.N., S.G., A.C.C., M.N., A.J.P.).
Liam SmeethFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, United Kingdom (S.G., J.R.G., A.C.C., M.N., L.S., A.J.P.).
Richard WalkerNorthumbria Healthcare NHS Foundation Trust and Institute of Health and Society, Newcastle University, United Kingdom (R.W.).
Alison J PriceFrom the Malawi Epidemiology and Intervention Research Unit, Lilongwe and Karonga (H.M., C.C., V.N., S.G., A.C.C., M.N., A.J.P.).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose- The incidence of stroke in Malawi is unknown but major risk factors, including hypertension, obesity, and diabetes mellitus, are highly prevalent. We sought to understand community-level knowledge about stroke. Methods- A population-based cross-sectional study was conducted in rural Malawi (2016-2017). Adults aged ≥15 years were randomly selected and interviewed about their knowledge and perceptions of stroke symptoms, risk factors, and prevention. Logistic regression was used to investigate sociodemographic factors associated with stroke knowledge. Results- Of 812 selected, 739 (91% response rate) were seen and consented; 57% were female, and the median age was 52.0 years. Knowledge of stroke was poor: 71% knew no (correct) risk factors. Witchcraft (20.6%) was mentioned as frequently as hypertension (19.8%) as a cause. Knowledge of stroke was greatest in the most educated and wealthy and lowest in men, the never married, and the youngest age group. HIV-positive individuals had higher knowledge of prevention (odds ratio, 2.91; 95% CI, 1.21-7.03) than HIV negative individuals. Conclusions- Knowledge about stroke is very low in this community, particularly among the least educated and poor. Programs to support prevention, early recognition, and timely hospital presentation after a stroke are needed.

Indexed as

Health Knowledge, Attitudes, PracticeAdolescentAdultAgedCross-Sectional StudiesEducational StatusFemaleHIV SeropositivityHumansMalawiMaleMiddle AgedPovertyRisk FactorsRural PopulationSocioeconomic FactorsknowledgeMalawistrokewitchcraft

Identifiers

PMID31164071
PMCPMC6594749

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.