Evidence map›Paper›PMID 39546780›Full record

ArticleJMIR formative research2024

A Reflective Thematic Analysis Into the Perceptions of Pregnant Radiographers Regarding the Usefulness of the PregiDose Mobile App to Enhance Fetal Dosimetry and Well-Being: Qualitative Exploration.

Hafsa Essop, Ramadimetja Mable Kekana, Jacques Brosens, Hanlie Smuts

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Article in JMIR formative research, 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hafsa Essop *Department of Radiography, University of Pretoria, Pretoria, South Africa.ORCID 0000-0002-3060-9525
Ramadimetja Mable Kekana *Department of Radiography, University of Pretoria, Pretoria, South Africa.ORCID 0000-0003-4332-1472
Jacques Brosens *Department of Informatics, University of Pretoria, Pretoria, South Africa.ORCID 0000-0002-5860-4750
Hanlie Smuts *Department of Informatics, University of Pretoria, Pretoria, South Africa.ORCID 0000-0001-7120-7787

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnancy apps are widely used by pregnant women, who benefit from self-tracking features to support their health goals. Pregnant radiographers are considered a high-risk group of health workers practicing in ionizing radiation environments. Radiation exposure above threshold limits can cause harmful genetic effects on a fetus. Accordingly, pregnant radiographers are required to wear special fetal dosimeters, which provide real-time readings of radiation dose exposure to the fetus. Pregnant radiographers have the responsibility to self-track their fetal doses to ensure that the threshold limit of 1 mGy is not exceeded. The traditional method used to track doses includes a written log of doses in a notebook. Thus, PregiDose, a unique offering in the context of pregnancy apps, was developed to enhance fetal dose tracking and monitoring using technological methods.

objectiveThis study aims to describe the users' perceptions of the app's usefulness using PregiDose in a natural setting.

methodsThe overarching framework adopted for the study was a design science research (DSR) methodology encompassing five steps, namely (1) problem awareness, (2) suggestion, (3) development, (4) evaluation, and (5) conclusion. This paper presents the evaluation step of DSR. DSR step 4 included a qualitative approach to explore users' perceptions regarding the app. Data were collected using a semistructured interview guide. Open-ended questions were guided by the app's core features, namely dose tracking, education, and wellness. In total, 17 pregnant radiographers in South Africa enrolled to use the app, 9 (53%) engaged with the app, and 4 (24%) agreed to participate in the feedback interviews. The data were collected from October 2023 to March 2024 and analyzed using a reflective thematic data analysis method.

resultsThree overarching themes emerged from the data, namely (1) usefulness of PregiDose, (2) barriers to PregiDose adoption and use, and (3) recommendations for the advancement of PregiDose. Users labeled the app's usefulness as positive and perceived it as a modern approach to traditional dose-tracking methods. They perceived the graph output of the dose-tracking feature to be useful for viewing their accumulative doses. They did not fully engage with the journaling feature, indicating that it was a personal preference and not a practice they would usually engage in. Physiological barriers, such as fatigue and "pregnancy brain," were contributors to decreased engagement. Finally, because of the demanding workload and fast-paced nature of the radiography department, users recommended the automation of fetal dosimetry through the Internet of Things.

conclusionsPregiDose is an occupational health and safety mobile app developed for pregnant radiographers through a DSR approach. The app offers a modern method of dose tracking consistent with technological advancements in the context of self-tracking. However, future implementation would require using Internet of Things to make fetal dose tracking more effective.

Indexed as

Mobile ApplicationsQualitative ResearchAdultFemaleFetusHumansPregnancyPregnant PeopleRadiation Dosagedesign science researchfetal dosimetrymaternal and child healthmobile appmobile phoneoccupational health and safetyPregiDosepregnant radiographersusefulness

Identifiers

PMID39546780
PMCPMC11607548

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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.