Investigating the healthcare-seeking behaviors of mobile phone users in rural Uganda
Notice bibliographique
Résumé
ABSTRACT Cervical cancer is the leading cause of cancer in low- and middle-income countries, despite being a preventable disease. Uganda, which lacks an effective screening program, has one of the highest cervical cancer incidence rates in the world. Mobile health (mHealth) technology has the potential to improve healthcare-seeking behaviors and access to cervical cancer screening. This study aims to describe the connection between mobile phone access and healthcare-seeking behaviors in rural Uganda. This cross-sectional study recruited participants from January 23 to August 24, 2023. Women were eligible if they had no prior screening or treatment for cervical cancer in the past 5 years, were aged 30 to 49 years old, and were residents of the South Busoga Forest reserve. Each participant completed a 43-item survey which included questions on demographics, previous health service usage, and opinions on cervical cancer prevention. All data was analyzed using descriptive statistics and chi-square tests. Of the 1434 participants included in the analysis, 91.4% reported having access to a mobile phone. Most respondents were aged 30-40 years, were married or in a relationship, had ≤ primary education, and were farmers. Participants with access to a mobile phone were significantly more likely to report attending a healthcare outreach visit (access = 87.3%, no access = 72.6%, p<0.001) or visiting a health centre (access = 96.9%, no access = 93.5%, p<0.001). Participants in both groups had largely positive attitudes around and good knowledge of cervical cancer screening. While attendance to healthcare outreach visits or health centres was high amongst participants, those with mobile phone access were more likely to seek healthcare services. Further inquiry into this association between mobile phone access and healthcare-seeking behaviour is needed to optimize the improvements to cervical cancer screening when implementing interventions such as mHealth technology. AUTHOR SUMMARY Cervical cancer is the leading cause of cancer in low- and middle-income countries, despite being a preventable disease. This can be partially attributed to the lack of widespread screening programs. In Uganda, the development of a comprehensive screening program has been slow despite having one of the highest rates of cervical cancer. However, mobile health might have the capacity to help improve cervical cancer screening rates in resource-limited settings such as Uganda. Our study explored the existing relationships between access to a mobile phone and healthcare-seeking behaviour in rural Uganda. We found that access to a mobile phone was associated with higher use of healthcare services and a more positive attitude towards and knowledge of cervical cancer prevention. It is important to study these existing relationships to find the best use of mobile health and to allow for the assessment of a digital health intervention once implemented. Future studies can build on our findings by investigating the impact of digital health interventions on the use of cervical cancer screening services in rural settings, which will contribute to the elimination of this devastating disease in Uganda, and in other resource-limited settings.
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
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