Experiences and Perceptions About Death Reporting and Notification Among Rural Communities on the Islands of Lake Victoria, Uganda: Qualitative Study
Notice bibliographique
Résumé
Background: Mortality data are critical for planning and prioritization of public health interventions and are generated through civil registration and vital statistics systems like mortality surveillance systems. However, frameworks for strengthening mortality surveillance systems do not acknowledge the cultural relativism surrounding death and how it influences strategies to improve mortality surveillance systems. Objective: This paper aims to describe the experiences and perceptions about death reporting and notification among rural dwellers on the islands of Lake Victoria in Central Uganda. Methods: The study was conducted in Buvuma and Kalangala Districts on Lake Victoria using a phenomenological qualitative research design. We conducted 12 in-depth interviews with community members who were purposively identified by village leaders and had experienced the death of a next of kin and reported and notified, and 8 in-depth interviews with those who had experienced the loss of a next of kin but did not notify and report the death. Key informant interviews were also conducted with 2 police officers and 2 cultural leaders. A total of 4 focus group discussions were conducted among village leaders. Interviews were abductively analyzed to generate grand narratives. Results: The findings revealed 6 grand narratives of the perceptions and experiences of the process of death reporting and notification among the rural dwellers. These include (1) death reporting and notification are preceded by a tragic event that affects how, when, and if it is conducted; (2) a long and cumbersome process; (3) a process that involves multiple stakeholders with official and unofficial roles and responsibilities; (4) a process with little perceived individual or societal value; (5) a process with several mandatory but unofficial costs; and (6) a process preceded by events with deep cultural undertones. Conclusions: Death reporting and notification are perceived to be tedious and cumbersome, which discourages community members from conducting them. There is a need to evaluate the process to remove any perceived or actual barriers through strategies such as decentralization of the process to lower levels of political administration. Death reporting and notification are also part of a broader social context that includes cultural beliefs, norms, and traditions. Efforts to strengthen mortality surveillance systems would profit from acknowledging the broader sociocultural issues around death and grieving and the role that cultural and religious institutions can contribute to addressing misconceptions and articulating the benefit of the process to society.
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,009 | 0,006 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,002 |
| 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.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».