Evidence map›Paper›PMID 33967298›Full record

ArticleCurrent therapeutic research, clinical and experimental2021

Compliance, Barriers, and Facilitators to Social Distancing Measures for Prevention of Coronavirus Disease 2019 in Northwest Ethiopia, 2020.

Workagegnehu Hailu, Lemma Derseh, Melkamu Tamir Hunegnaw, Tsebaot Tesfaye, Dessie Abebaw Angaw

Open access · goldAbstract read
In one paragraph

Article in Current therapeutic research, clinical and experimental, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
2.6field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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  13. Risk, Obligation, and Public Noncompliance with Mobility Directives in China during the COVID-19 Pandemic.International journal of environmental research and public health · 2022
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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

5 authors at 1 institution in 1 country.

Workagegnehu HailuDepartment of Internal Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
Lemma DersehDepartment of Epidemiology and Biostatistics, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
Melkamu Tamir HunegnawDepartment of Human Nutrition, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
Tsebaot TesfayeDepartment of Internal Medicine, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
Dessie Abebaw AngawDepartment of Epidemiology and Biostatistics, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia.
University of Gondar · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic is the defining global health crisis of our time. To date, there is no curative treatment for COVID-19, and with vaccines only recently being rolled out predominantly in wealthy countries, prevention still remains the main strategy. Social distancing has been proven to mitigate the epidemic and limit disease spread. As is the case in many other countries, the Ethiopian government has declared a state of emergency and taken several measures to impose social distancing. The level of compliance with social distancing measures in Ethiopia is unknown.

objectiveThe aim of this study was to assess the compliance, barriers, and facilitators to social distancing measures for the prevention of COVID-19 in Northwest Ethiopia.

methodsA cross-sectional survey using telephone interview triangulated by a qualitative study was conducted over a period of 1 month from April 20 to May 20, 2020, at the University of Gondar Hospital in Gondar, Ethiopia. A total of 401 randomly selected participants, and 12 key representative informants selected by convenience were included for the quantitative and qualitative studies, respectively. Information on sociodemographic factors, knowledge about COVID-19, and practices concerning preventive measures--particularly social distancing--was collected. Respondents were asked what they believed were the barriers and facilitators of social distancing during in-depth face-to-face interviews. Data were entered and analyzed using Epi-data and Stata software, respectively. Frequencies and odds ratios were analyzed.

resultsA total of 425 potential participants were approached and 401 responded positively (response rate = 94.4%). Of the 401 study participants, 55.4% (95% CI, 50.4%-60.2%) reported poor compliance with social distancing measures. The mean (SD) age of participants was 36.4 (11.8) years. The majority of participants (63.84%) reported that they went to crowded places without putting on a face mask. Of the participants, 243 (60.6%) and 306 (76.3%) had good knowledge of COVID-19 transmission and prevention, respectively. Multivariate logistic regression analysis revealed that only age (adjusted odds ratio = 1.02; 95% CI, 1.00-1.04) was significantly associated with social distancing measures, with older persons more likely than younger to comply with social distancing guidelines.

conclusionsThe majority of the study's participants reported poor compliance with social distancing measures set by the government and health authorities for prevention of COVID-19. Reported compliance with social distancing measures increased with increasing age. (Curr Ther Res Clin Exp. 2021; 82:XXX-XXX) © 2021 Elsevier HS Journals, Inc.

Indexed as

ComplianceCOVID-19Northwest EthiopiaSocial distancing

Identifiers

PMID33967298
PMCPMC8087863
OpenAlexW3163891763

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.