Cerrahi yoğun bakım ünitesinde yatan hastaların uyku kalite düzeylerinin hasta konforu ile ilişkisinin incelenmesi
No Thumbnail Available
Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
Bu araştırma, cerrahi yoğun bakım ünitesinde yatan hastaların uyku kalite düzeylerinin hasta konforu ile ilişkisinin incelenmesi amacıyla tanımlayıcı ve kesitsel olarak yapıldı. Araştırmanın evrenini Şişli Florence Nightingale Hastanesi cerrahi yoğun bakım ünitelerinde yatmakta olan hastalar, örneklemini ise 20 Şubat-25 Nisan 2019 tarihleri arasında çalışma kriterlerini sağlayan ve çalışmaya katılmaya gönüllü 198 hasta oluşturdu. Araştırmanın verileri, 'Hasta Bilgi Formu', 'Perianestezi Konfor Ölçeği', 'Richard-Campbell Uyku Ölçeği' kullanılarak toplandı. Araştırmada elde edilen istatistiksel analizler için R vers. 2.15.3 programı (R Core Team, 2013) kullanıldı. Araştırma verilerinin değerlendirilmesinde tanımlayıcı istatistiksel metodlar (minimum, maksimum, ortalama, standart sapma, medyan, birinci çeyreklik, üçüncü çeyreklik, frekans ve yüzde) kullanıldı. Nicel verilerin normal dağılıma uygunlukları Shapiro-Wilk testi ve grafiksel inceleme ile değerlendirildi. Normal dağılım gösteren değişkenlerin ikiden fazla grup arası değerlendirmelerinde tek yönlü varyans analizi kullanıldı. Normal dağılım gösteren değişkenlerin iki grup arası değerlendirmelerinde Bağımsız gruplar t testi kullanıldı. Normal dağılım göstermeyen değişkenlerin ikiden fazla grup arası değerlendirmelerinde Kruskal-Wallis test, anlamlılık gözlenmesi durumunda anlamlılığın kaynağını belirlemek amacıyla Dunn-Bonferroni test kullanıldı. Nicel değişkenler arasındaki ilişki düzeyinin belirlenmesinde Pearson korelasyon analizi ve Spearman korelasyon analizi kullanıldı. Ölçeklerin iç tutarlılık düzeylerinin belirlenmesinde Cronbach alfa katsayısı kullanıldı. PKÖ toplam puanı ve RCUÖ toplam puanı üzerine etki eden faktörlerin belirlenmesi amacıyla iki ayrı lineer regresyon analizi gerçekleştirilmiştir. İstatistiksel anlamlılık p<0.05 olarak kabul edildi. Araştırma sonucunda; araştırmaya katılan hastaların, yaş ortalaması 59,39±16,81 olup, %66.7'si erkekti. PKÖ ölçeğinden alınan puanlar 3,59 ile 5,91 arasında değişmekte olup ortalama 5,04±0,49'dur. Ölçeğin iç tutarlılık düzeyinin 0,671 olduğu saptandı. RCUÖ ölçeğinden alınan puanlar 0 ile 91 arasında değişmekte olup ortalama 51,10±19,19'dir. Ölçeğin iç tutarlılık düzeyinin 0,889 olduğu saptandı. Hastaların alışkanlıkları ve kalp damar cerrahi ameliyatı geçirmeleri ile konfor kalitesi puanları arasındaki fark istatistiksel olarak anlamlı bulundu (p<0.05). Hastaların çalışma durumunun uyku kalite düzeyini etkilediği bulundu. Araştırmaya katılan hastaların konfor düzeyi ile uyku düzeyi arasında istatistiksel olarak pozitif yönlü anlamlı ilişki belirlendi. Hastaların konfor düzeyi artarken uyku düzeyi de artmaktadır.
This research was carried out descriptive and cross-sectional in order to investigate the relationship between sleep quality levels and patient comfort in the surgical intensive care unit. The study population consisted of 198 patients who were hospitalized in surgical intensive care units of Şişli Florence Nightingale Hospital, and the study included 198 patients who met the study criteria between February 20 and April 25, 2019. The data of the study were collected by using-Patient Information Form Konfor, Konfor Perianesthesia Comfort Scale 'and Bilgi Richard-Campbell Sleep Scale hast. For the statistical analysis obtained in the study, R vers. 2.15.3 program (R Core Team, 2013) was used. Descriptive statistical methods (minimum, maximum, mean, standard deviation, median, first quarter, third quarter, frequency and percentage) were used to evaluate the data. The normal distribution of quantitative data was evaluated by Shapiro-Wilk test and graphical examination. One-way analysis of variance was used for more than two groups of variables with normal distribution. Independent groups t-test was used to evaluate the normal distribution of variables. The Kruskal-Wallis test was used to evaluate the variables that did not show normal distribution, and Dunn-Bonferroni test was used to determine the source of significance in the case of significant significance. Pearson correlation analysis and Spearman correlation analysis were used to determine the relationship between quantitative variables. Cronbach alpha coefficient was used to determine the internal consistency of the scales. Two different linear regression analyzes were performed to determine the factors affecting the total score of PKO and the total score of RCUO. Statistical significance was accepted as p <0.05. As a result of the research; The mean age of the patients was 59.39 ± 16.81 and more than half were male. The scores obtained from the PSI scale ranged from 3.59 to 5.91 and the mean score was 5.04 ± 0.49. The internal consistency of the scale was 0.671. The scores from the RCUI scale ranged from 0 to 91 and the mean score was 51.10 ± 19.19. The internal consistency of the scale was found to be 0.889. Statistically significant differences were found between patients' habits and cardiovascular surgery and comfort quality scores (p <0.05). It was found that the working status of the patients affected sleep quality level. A statistically significant positive correlation was found between the comfort level of the patients and the level of sleep. While the comfort level of the patients increases, the level of sleep increases.
This research was carried out descriptive and cross-sectional in order to investigate the relationship between sleep quality levels and patient comfort in the surgical intensive care unit. The study population consisted of 198 patients who were hospitalized in surgical intensive care units of Şişli Florence Nightingale Hospital, and the study included 198 patients who met the study criteria between February 20 and April 25, 2019. The data of the study were collected by using-Patient Information Form Konfor, Konfor Perianesthesia Comfort Scale 'and Bilgi Richard-Campbell Sleep Scale hast. For the statistical analysis obtained in the study, R vers. 2.15.3 program (R Core Team, 2013) was used. Descriptive statistical methods (minimum, maximum, mean, standard deviation, median, first quarter, third quarter, frequency and percentage) were used to evaluate the data. The normal distribution of quantitative data was evaluated by Shapiro-Wilk test and graphical examination. One-way analysis of variance was used for more than two groups of variables with normal distribution. Independent groups t-test was used to evaluate the normal distribution of variables. The Kruskal-Wallis test was used to evaluate the variables that did not show normal distribution, and Dunn-Bonferroni test was used to determine the source of significance in the case of significant significance. Pearson correlation analysis and Spearman correlation analysis were used to determine the relationship between quantitative variables. Cronbach alpha coefficient was used to determine the internal consistency of the scales. Two different linear regression analyzes were performed to determine the factors affecting the total score of PKO and the total score of RCUO. Statistical significance was accepted as p <0.05. As a result of the research; The mean age of the patients was 59.39 ± 16.81 and more than half were male. The scores obtained from the PSI scale ranged from 3.59 to 5.91 and the mean score was 5.04 ± 0.49. The internal consistency of the scale was 0.671. The scores from the RCUI scale ranged from 0 to 91 and the mean score was 51.10 ± 19.19. The internal consistency of the scale was found to be 0.889. Statistically significant differences were found between patients' habits and cardiovascular surgery and comfort quality scores (p <0.05). It was found that the working status of the patients affected sleep quality level. A statistically significant positive correlation was found between the comfort level of the patients and the level of sleep. While the comfort level of the patients increases, the level of sleep increases.
Description
Keywords
Hemşirelik, Konfor, Uyku, Nursing, Uyku kalitesi, Comfort, Sleep, Yatan hastalar, Quality of sleep, Yoğun bakım, Inpatients, Intensive care, Yoğun bakım üniteleri, Intensive care units