Sheferaw Ephrem Daniel, Alyande Barnabas, Munyura Oda, Nuhu Assuman, Nishimwe Aurore, Nyinawankusi Jeanne, Uwitonze Jean Marie, Sindikubwabo Jean Nepomuscene, Bagahirwa Irene, Hagumimana Didier, Hagenimana Fabien, Inkotanyi Collins Fred, Semuto Jean Claude, Rukundo Gilbert, Ignatowicz Agnieszka, D'Ambruoso Lucia, Muhire Philbert, Jayaraman Sudha, Nkusi Emmy Agabe, Quinn Laura, Bekele Abebe, Byiringiro Jean Claude, Davies Justine
Center for Equity in Global Surgery, University of Global Health Equity, Kigali, Rwanda.
College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Int J Emerg Med. 2025 Apr 10;18(1):75. doi: 10.1186/s12245-025-00853-z.
Ensuring that emergency patients reach the right healthcare facility at the right time is a key component of providing quality emergency care. Rwanda's prehospital emergency care system, Service D'Aide Médicale Urgente (SAMU), was established in 2007 to provide prehospital emergency care services, but a formal assessment of the receiving facilities has not been done. We explored the characteristics of patients transported by SAMU to identify factors influencing the choice of destination health facilities.
We retrospectively analyzed SAMU data documenting patients transported in Kigali in 2022. The main dataset included patient sex, age, emergency condition, insurance status, and destination facility. For a subset of patients, additional data were available on clinical variables such as Glasgow Coma Score (GCS), variables to permit derivation of the Triage Early Warning Scores (TEWS), and an assessment of urgency made by the ambulance team. Facilities receiving patients transported by SAMU were categorised into health centers, district hospitals, and tertiary hospitals. Results are described for the main dataset, and associations between facility type and patient characteristics were determined using multinomial logistic regression on the subset of patients with additional clinical variables.
Data was available for 7,221 patients. The majority were male (65%), with a mean age of 34 years (SD = 16). The leading three emergency conditions were trauma (66%), gynecological and obstetric conditions (9%), and medical conditions (17%). Most patients were received by district hospitals (47%), followed by health centers (36%), and tertiary hospitals (17%). We also found that patients with urgency classified as "extreme" had a 49%, 37%, and 14% probability of being transferred to tertiary hospitals, district hospitals, and health centers respectively. Similarly, patients with TEWS of 7 or higher had a 53%, 29%, and 18% chance of being transported to tertiary hospitals, district hospitals, and health centers respectively. Age, sex, and insurance status were not associated with facility type. In the multinomial analysis, patients with trauma had a 44%, 38%, and 18% probability of being transferred to district hospitals, health centers, and tertiary hospitals respectively. Women with obstetrics and gynecology conditions had a 56%, 35%, and 8% probability of being transported to district hospitals, health centers, and tertiary hospitals respectively.
We identified that patients' age and urgency of the condition were associated with destination; however, insurance and TEWS scores were found to have less influence.
确保急诊患者在正确的时间抵达正确的医疗机构是提供高质量急诊护理的关键组成部分。卢旺达的院前急救系统——紧急医疗援助服务(SAMU)于2007年建立,旨在提供院前急救服务,但尚未对接收机构进行正式评估。我们探讨了由SAMU转运的患者的特征,以确定影响目的地医疗机构选择的因素。
我们回顾性分析了2022年在基加利记录的由SAMU转运患者的数据。主要数据集包括患者的性别、年龄、紧急情况、保险状况和目的地机构。对于一部分患者,还可获得有关临床变量的其他数据,如格拉斯哥昏迷评分(GCS)、用于推导分诊早期预警评分(TEWS)的变量,以及救护团队做出的紧急程度评估。接收由SAMU转运患者的机构分为健康中心、地区医院和三级医院。描述了主要数据集的结果,并使用多项逻辑回归分析了具有额外临床变量的患者子集中机构类型与患者特征之间的关联。
有7221名患者的数据可用。大多数为男性(65%),平均年龄34岁(标准差=16)。前三大紧急情况是创伤(66%)、妇产科疾病(9%)和内科疾病(17%)。大多数患者被地区医院接收(47%),其次是健康中心(36%)和三级医院(17%)。我们还发现,紧急程度被分类为“极重”的患者分别有49%、37%和14%的概率被转至三级医院、地区医院和健康中心。同样,TEWS为7或更高的患者分别有53%、29%和18%的概率被转运至三级医院、地区医院和健康中心。年龄、性别和保险状况与机构类型无关。在多项分析中,创伤患者分别有44%、38%和18%的概率被转至地区医院、健康中心和三级医院。患有妇产科疾病的女性分别有56%、35%和8%的概率被转运至地区医院、健康中心和三级医院。
我们发现患者的年龄和病情紧急程度与目的地有关;然而,保险和TEWS评分的影响较小。