Evidence map›Paper›PMID 38867227›Full record

ArticleBMC medical informatics and decision making2024

Attitudes of female market vendors of reproductive age towards use of mobile phones and access to family planning self-care interventions in Northern Uganda: a cross-sectional study.

Yagos Onen Walter, Pamela Atim, Derrick Amone, Alarakol Simon Peter, Geoffrey Olok Tabo

Abstract read
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Article in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yagos Onen WalterDepartment of Library and Information Service, Medical Library, Gulu University, Kampala, Uganda. w.y.onen@gu.ac.ug.
Pamela AtimDepartment of Public Health, Faculty of Medicine, Gulu University, Kampala, Uganda.
Derrick AmoneDepartment of Surgery, Faculty of Medicine, Gulu University, Gulu, Kampala, Uganda.
Alarakol Simon PeterDepartment of Biochemistry, Faculty of Medicine, Gulu University, Kampala, Uganda.
Geoffrey Olok TaboDepartment of Computer Science, Faculty of Science, Gulu University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile phones are potential digital technologies for accessing family planning self-care interventions. However, their utilization could be possible if women of reproductive age have positive attitudes towards the use of this technology for healthcare purposes. This study aimed to examine the relationship between attitudes towards the use of mobile phones and access to family planning self-care interventions among female market vendors of reproductive age in northern Uganda.

methodsA cross-sectional survey design was used. Two hundred and five randomly selected female vendors from the Gulu city main market participated. A structured researcher-administered questionnaire was used to collect the data. Descriptive statistics and standard multiple regression were performed, and the data were analysed using SPSS software version 15.

resultsOf the 205 participants, 112 (54.6%) reported using smartphones, and 147 (71.7%) were aware of family planning self-care interventions. Participants had moderate attitudes towards access to family planning self-care interventions (mean = 3.18), positive attitudes towards ease of use (mean = 3.31) and usefulness of mobile phones (mean = 3.30), strong positive attitudes towards privacy (mean = 4.04), and skills associated with using mobile phones (mean = 4.04). Furthermore, significant positive relationships existed between ease of use (p value = 0.000), skills (p value = 0.001), privacy (p value = 0.002) and access to family planning self-care interventions. There was, however, an insignificant positive relationship between mobile phone usefulness and access to family planning self-care interventions (p value = 0.189).

conclusionsParticipants' positive attitudes towards the use of mobile phones could lead to access to FP self-care interventions, although uncertainty about the usefulness of the use of mobile phones for accessing FP self-care interventions exists. It is therefore important for healthcare practitioners, health development partners and the government to encourage and integrate the use of mHealth into regular FP self-care services and promotional activities while targeting underserved communities in Uganda.

Indexed as

Cell PhoneFamily Planning ServicesSelf CareAdolescentAdultCommerceCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHealth Services AccessibilityHumansMiddle AgedUgandaYoung AdultFamily planning self-care interventionsFemale of reproductive ageNorthern UgandaUse of mobile phones

Identifiers

PMID38867227
PMCPMC11167777

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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.