Alabbasi Khalid H, Kruger Estie, Tennant Marc
Ministry of Health, Jeddah 11176, Saudi Arabia.
International Research Collaborative-Oral Health and Equity, The University of Western Australia, Nedlands, WA 6009, Australia.
Geriatrics (Basel). 2021 Dec 11;6(4):115. doi: 10.3390/geriatrics6040115.
This study aims to investigate whether certain demographic factors of patients receiving home healthcare (HHC) interventions have any positive impact on mortality.
the study included all patients who were enrolled in the HHC program in a referred medical complex, Jeddah, Saudi Arabia between the years 2017 and 2020 (593 patients).
A total of 6548 HHC visits were received during the study period. From the total number of visits, 3592 (54.9%) HHC visits were scheduled in the year 2020 compared to 157 (2.4%) scheduled HHC visits in 2017 ( < 0.001). The most successful HHC visits were provided in 2020 compared with the year 2017 (2193 vs. 132; < 0.001). The cancelled HHC visits were observed to be the lowest (194) in 2019. Three explanatory variables of mortality [age, having a major diagnosis (diabetes mellitus, cerebrovascular diseases, and bedridden), and having more cancelled visits] made a statistically significant contribution to the logistic regression model after controlling for other variables. Suffering from cerebrovascular diseases and/or bedridden were the strongest predictor of death in patients receiving HHC.
During the 2020 pandemic, there was a sharp increase in HHC compared to previous years. Three significant explanatory variables of mortality [age, having a major diagnosis (diabetes mellitus, cerebrovascular diseases, and bedridden), and having more cancelled visits] were reported.
本研究旨在调查接受家庭医疗保健(HHC)干预的患者的某些人口统计学因素是否对死亡率有任何积极影响。
该研究纳入了2017年至2020年期间在沙特阿拉伯吉达一家转诊医疗中心参加HHC项目的所有患者(593名患者)。
在研究期间共进行了6548次HHC访视。在总访视次数中,2020年安排了3592次(54.9%)HHC访视,而2017年安排的HHC访视为157次(2.4%)(<0.001)。与2017年相比,2020年提供的最成功的HHC访视次数更多(2193次对132次;<0.001)。观察到2019年取消的HHC访视次数最少(194次)。在控制其他变量后,死亡率的三个解释变量[年龄、患有主要诊断(糖尿病、脑血管疾病和卧床不起)以及取消的访视次数更多]对逻辑回归模型有统计学意义的贡献。患有脑血管疾病和/或卧床不起是接受HHC患者死亡的最强预测因素。
在2020年疫情期间,与前几年相比,HHC急剧增加。报告了死亡率的三个重要解释变量[年龄、患有主要诊断(糖尿病、脑血管疾病和卧床不起)以及取消的访视次数更多]。