Post-discharge evaluation of patients with Covid-19 infection

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 lt;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.Keywords: Covid-19, Home Care, Discharge Perio

Maternal Deaths in Kayseri: Causes and Risk Factors

Background: About a quarter of a million women die from pregnancy-related conditions every year. This study aimed to contribute to the literature by assessing causes and demographic data of maternal deaths in our region. Methods: Our study is retrospective and descriptive. The study sample comprised 36 mothers who died in Kayseri between 2015 and 2019. The assessment was performed on the Provincial Directorate of Health data-“Maternal Death Record Forms”. Patients’ demographic and clinical characteristics and the factors associated with mortality were analyzed. Results: A total of 33 maternal deaths that occurred between 2015 and 2019 were assessed in our study. The mean age of mothers included in the study was 33.3 ± 6.3. Median gestational week was 24.5 (min: 3–max: 39) weeks of pregnancy. The majority of preventable deaths were from indirect causes. Cesarean history was higher in previous pregnancies in preventable maternal deaths (p = 0.006). First-phase and third-phase delay models were higher in preventable maternal deaths (p = 0.008, p = 0.007). Conclusions: The rates of preventable maternal mortality are considerably high. The first-phase delay model has an important place in preventable maternal deaths