Ecology of emergency care in lower-tier healthcare providers in Ghana: an empirical data-driven Bayesian network analytical approach

加纳基层医疗机构急诊护理生态学:一种基于实证数据驱动的贝叶斯网络分析方法

阅读:2

Abstract

The healthcare landscape in Ghana is primarily composed of lower-tier providers, which serve as the initial  point of contact for most medical emergencies. This study aimed to assess the emergency care preparedness and readiness of primary healthcare providers using a robust evaluation approach. A multicentre retrospective cross-sectional study was conducted on  460 healthcare facilities using the standardised Health Facilities Emergency Preparedness Assessment Tool (HeFEPAT). Data were analysed via Bayesian Belief network. Emergency preparedness was associated with facility location, type, ownership, and in-charge personnel. Over 70% of facilities lacked specialised emergency/critical care personnel. Although 65% of in-charges reported protocol knowledge, only 7.8% could execute cardiopulmonary resuscitation. 90% of facilities lacked onsite defibrillators, and over 80% had no cerebrovascular accident medications. Road traffic accident protocols were largely unavailable, with an  estimated 53% probability of  lacking such protocols. Private-owned facilities were more likely to lack protocols for road traffic accidents (76% vs 20% probability) and general acute care (62% vs 32%) compared to government-owned facilities. Significant gaps in emergency preparedness were identified across the studied health facilities, indicating limited capacity to manage critical situations effectively. Urgent investments in emergency medicine training, essential resources, and evidence-based protocols are needed. Standardised emergency preparedness assessments should be implemented for accreditation and quality improvement. Further research can inform the development of national guidelines and targeted interventions to strengthen emergency response capacities.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。