Assessing Differences in Healthcare Access for Women in Rural Uganda by HIV Status
Notice bibliographique
Résumé
PURPOSE Although a preventable disease, cervical cancer is a leading cause of cancer death among women in low- and middle-income countries (LMICs). Uganda has one of the highest cervical cancer incidence rates, largely due to limited accessibility and availability of screening services. Human immunodeficiency virus (HIV) positive women are significantly more likely to develop cervical cancer and face barriers to accessing healthcare when compared to HIV-negative women. As such, HIV-positive women represent a priority population for cervical cancer prevention. This study aims to compare how HIV-positive and HIV-negative women in rural Uganda access health services to inform the integration of cervical cancer screening with HIV care. METHODS This cross-sectional study recruited women living in the South Busoga District Reserve from January to August 2023. Women were eligible if they were aged 30 to 49 years old, had no history of cervical cancer screening or treatment, had no previous hysterectomy, and could provide informed consent. Participants completed a survey administered by village health teams, which included questions on HIV status, demographics, healthcare access, and services received. The data was analyzed using bivariate descriptive statistics, including chi-square and Fisher's exact tests. RESULTS Among the 1437 participants included in the analysis, 8.8% were HIV-positive. The majority of the respondents were between 30-39 years of age, were married, had received primary education or higher, and were farmers. The majority of women in both groups had accessed outreach visits (HIV-positive = 89.0%, HIV-negative = 85.8%) and health centers (HIV-positive = 96.1%, HIV-negative = 80.2%). The most commonly received services among both groups of women at outreach visits and health centers were immunization and antenatal care, respectively. CONCLUSION Our study demonstrated that there were no significant differences in healthcare access between HIV-positive and HIV-negative women in rural Uganda. Additionally, the high usage of healthcare services by women living with HIV suggests that the integration of cervical cancer and HIV screening may facilitate early detection and prevention of cervical cancer among this population. This can reduce the burden of disease in Uganda and further contribute to the World Health Organization's initiative to eradicate cervical cancer.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».