Pusat Perubatan Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Med J Malaysia. 2022 May;77(3):338-346.
Measuring the success of the control of COVID-19 in any country includes a review of the mortality especially to compare the deaths of those dying in hospitals and those brought in dead (BID). The objective of this study was to compare the death groups with the demographic factors that influenced the type of death.
This was a case-control study (1:1 ratio) looking at COVID-19 secondary public data from March 2020 to February 2021. Data such as the basic demographic data and comorbidities were analysed descriptively and then using a binary-logistic regression analysis to compare the independent variables against the outcome of BID. From the database, 120 cases were included as BID (4 excluded due to insufficient information) and 120 patients from the 1006 who passed away in hospital were randomly selected as comparators. The data was analysed in SPSS v21.0.
The mean age for the BID was 59.59 (SD: 18.74), with more males (70.8%) than females (29.2%), of which 61.7% were Malaysians, 46.7% from the state of Sabah, and 64.2% having at least one co-morbidity (50% of them had hypertension). A univariate binary logistic regression analysis yielded factors such as age, nationality, and presence of any co-morbidities that are favourable to be included into the multivariate analysis. From the final analysis, the only factor that distinguished the BID from those dying in the hospital was being a foreigner (AOR: 4.32 [95%CI: 2.02-9.24], p<0.001).
This concluded that foreigners in Malaysia were likely to die from COVID-19 outside of the hospital compared to Malaysians. Amongst the reasons that needed to be addressed were cost, accessibility issues regarding medical care, and the testing policies in Malaysia.
衡量任何国家 COVID-19 控制的成功与否,都包括对死亡率的评估,尤其是对在医院死亡的人数和运尸来院死亡的人数(BID)进行比较。本研究的目的是比较死亡组与影响死亡类型的人口统计学因素。
这是一项病例对照研究(1:1 比例),观察 2020 年 3 月至 2021 年 2 月的 COVID-19 二次公共数据。对基本人口统计学数据和合并症等数据进行描述性分析,然后使用二元逻辑回归分析将独立变量与 BID 的结果进行比较。从数据库中纳入 120 例 BID(4 例因信息不足被排除),并随机选择 1006 例在医院死亡的患者中的 120 例作为对照组。数据使用 SPSS v21.0 进行分析。
BID 的平均年龄为 59.59(SD:18.74),男性(70.8%)多于女性(29.2%),其中 61.7%为马来西亚人,46.7%来自沙巴州,64.2%至少有一种合并症(其中 50%患有高血压)。单变量二元逻辑回归分析得出的因素,如年龄、国籍和任何合并症的存在,有利于纳入多变量分析。最终分析表明,唯一能将 BID 与在医院死亡的患者区分开来的因素是外国人(AOR:4.32[95%CI:2.02-9.24],p<0.001)。
本研究表明,与马来西亚人相比,在马来西亚的外国人死于 COVID-19 的可能性更高。需要解决的原因包括费用、医疗保健的可及性问题和马来西亚的检测政策。