Suppr超能文献

使用 HESPER 网络评估斐济多次灾害事件后即刻的感知需求。

Use of the HESPER Web to Assess Perceived Needs Immediately After Multiple Disaster Events in Fiji.

机构信息

Faculty of Medicine and Health, Örebro University, Örebro, Sweden.

Brighton and Sussex Medical School, Brighton, United Kingdom.

出版信息

Disaster Med Public Health Prep. 2023 Apr 11;17:e385. doi: 10.1017/dmp.2023.47.

Abstract

OBJECTIVE

In January 2022, Fiji was hit by multiple natural disasters, including a cyclone causing flooding, an underwater volcanic eruption, and a tsunami. This study aimed to investigate perceived needs among the disaster-affected people in Fiji and to evaluate the feasibility of the Humanitarian Emergency Settings Perceived Needs Scale (HESPER Web) during the early stage after multiple natural disasters.

METHODS

A cross-sectional study using a self-selected, non-representative study sample was conducted. The HESPER Web was used to collect data.

RESULTS

In all, 242 people participated. The number of perceived serious needs ranged between 2 and 14 (out of a possible 26), with a mean of 6 (SD = 3). The top 3 most reported needs were access to toilets (60%), care for people in the community who are on their own (55%), and distress (51%). Volunteers reported fewer needs than the general public.

CONCLUSIONS

The top 3 needs reported were related to water and sanitation and psychosocial needs. Such needs should not be underestimated in the emergency phase after natural disasters and may require more attention from responding actors. The HESPER Web was considered a usable tool for needs assessment in a sudden onset disaster.

摘要

目的

2022 年 1 月,斐济遭受了多次自然灾害的袭击,包括洪水、海底火山喷发和海啸。本研究旨在调查斐济受灾人群的感知需求,并评估人道主义紧急情况感知需求量表(HESPER Web)在多次自然灾害后的早期阶段的可行性。

方法

采用横断面研究,使用自我选择的非代表性研究样本。使用 HESPER Web 收集数据。

结果

共有 242 人参与。感知到的严重需求数量在 2 到 14 之间(共 26 个),平均为 6(SD = 3)。报告最多的前 3 项需求是获得厕所(60%)、照顾社区中独居的人(55%)和痛苦(51%)。志愿者报告的需求少于公众。

结论

报告的前 3 项需求与水和环境卫生以及心理社会需求有关。在自然灾害后的紧急阶段,这些需求不应被低估,可能需要应对行动者给予更多关注。HESPER Web 被认为是突发灾害中需求评估的一种可用工具。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验