Post-discharge evaluation of patients with Covid-19 infection

Adil Çetin, Mebrure Beyza Gökçek, Humeyra Aslaner, Zeliha Kaya Erten, Ayşenur Canan BENLİ ÖZÇAKIR
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Abstract

Introduction: This study was conducted retrospectively, cross-sectional and descriptively to evaluate the telemonitoring results of discharged patients who had been hospitalized due to Covid-19 during the pandemic. Methods : This study was composed of data which were obtained through the folders of 862 patients who had gotten their Covid-19 Polymerase Chain Reaction (PCR) tests positive, were treated in hospital and discharged between 28.08.2020 and 16.09.2020. This study was completed with folders of 760 patients whose data were overall. Descriptive statistics were given as mean, standard deviation, median, minimum and maximum. Percentages were used for categorical data. Also, the Chi-Square test was used to determine differences between the groups in categorical variables. Kolmogorov-Smirnov test was used so as to analyze normal distribution of data. Results: In the study, the age median of patients who stated their clinical condition as good and average, was lower compared to patients whose clinical status was bad (p=0.001). 45% of patients with poor condition were rehospitalized and 35% of them were directed to emergency service (p<0.001). Conclusions: Results have demonstrated that even if those patients were discharged, their problems still continued in their homes, and they need support. Moreover, it is considered that home-monitoring and home attendant care services for elderly patients have to be improved qualitatively.
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Covid-19感染患者出院后评价
前言:本研究采用回顾性、横断面和描述性方法,对大流行期间因Covid-19住院的出院患者的远程监护结果进行评估。方法:本研究收集2020年8月28日至9月16日住院出院的862例新冠病毒聚合酶链反应(PCR)阳性患者的资料。本研究以760例患者的资料文件夹完成,其资料是全面的。描述性统计以平均值、标准差、中位数、最小值和最大值给出。分类数据采用百分比。同时,采用卡方检验来确定组间在分类变量上的差异。采用Kolmogorov-Smirnov检验分析数据的正态分布。结果:在本研究中,临床状态为良好和一般的患者的年龄中位数低于临床状态为不良的患者(p=0.001)。病情较差的患者有45%再次住院,35%转至急诊(p<0.001)。结论:结果表明,即使这些患者出院,他们的问题仍然存在于他们的家中,他们需要支持。此外,认为居家监护和居家陪护服务的质量有待提高。
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审稿时长
14 weeks
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