Evidence map›Paper›PMID 39223537›Full record

ArticleBMC public health2024

Internet use, spatial variation and its determinants among reproductive age women in Ethiopia.

Nega Abebe Meshesha, Desta Debalkie Atnafu, Mohammed Hussien, Sefefe Birhanu Tizie, Geleta Nenko Dube, Getu Kassa Bitacha

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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nega Abebe MesheshaDepartment of Public Health, Institute of Health, Dambi Dollo University, Dambi Dollo, Ethiopia. negaabebe308@gmail.com.
Desta Debalkie AtnafuDepartment of Health Systems Management and Economics, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Mohammed HussienDepartment of Health Systems Management and Economics, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Sefefe Birhanu TizieDepartment of Health Informatics, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
Geleta Nenko DubeDepartment of Health Informatics, College of Medicine and Health Sciences, Mettu University, Mettu, Ethiopia.
Getu Kassa BitachaSchool of Public Health, College of Health Sciences and Medicine, Dilla University, Dilla, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Internet is the preferred source of health information for retrieving relevant information. In Ethiopia, the Internet penetration rate is improving year to year, but it is still at a low level compared to the rest of the world and neighboring African countries. Due to a lack of adequate information, it is important to assess Internet use, spatial variation, and determinants of Internet use among reproductive-age group women in Ethiopia.

methodSecondary data from EDHS 2016 were used to analyze 15,683 women aged 15-49 years. Spatial analysis was performed using ArcGIS 10.7. The Bernoulli model was used by applying Kuldorff's methods using SaTScan 10.1.2 software to analyze the purely spatial clusters of Internet use. A multilevel mixed-effect logistic regression was applied to estimate community variance to identify individual- and community-level factors associated with Internet use. All models were fitted in STATA version 17.0, and finally, the adjusted odds ratio (AOR) with a corresponding 95% confidence interval (CI) was reported.

resultThe magnitude of Internet use was 4.97% ± 95% CI (4.63-5.32). The overall average age of women was 24.21 ± 8.06 years, with the age range 15-24 years constituting the larger group (39.2%). Women with secondary and above education [AOR = 6.47; 95% CI (5.04, 8.31)], unmarried [AOR = 2.60; 95% CI (1.89, 3.56)], rich [AOR = 1.95; 95% CI (1.00, 3.80)], own a mobile phone [AOR = 3.74; 95% CI (2.75, 5.09)], media exposure [AOR = 2.63; 95% CI (2.03, 3.42)], and urban [AOR = 1.80; 95% CI (1.08, 3.01)] had higher odds of Internet use. The spatial variation in Internet use was found to be nonrandom (global Moran's I = 0.58, p value < 0.001). Fifty-seven primary clusters were identified that were located in Addis Ababa city with a relative likelihood of 10.24 and a log-likelihood ratio of 425.16.

conclusionsInternet use among reproductive-age women in Ethiopia is 4.97 and has significant spatial variation across the country. Both community- and individual-level factors affect Internet use in Ethiopia. Therefore, educating women, improving access to media, encouraging women to use family planning, and supporting household wealth could improve women's Internet use.

Indexed as

Internet UseAdolescentAdultEthiopiaFemaleHumansMiddle AgedSociodemographic FactorsSocioeconomic FactorsSpatial AnalysisYoung AdultEthiopiaInternet useSpatial variationWomen

Identifiers

PMID39223537
PMCPMC11368002

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LicenceCC BY-NC-ND
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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.