Physician-nurse collaboration in the relationship between professional autonomy and practice behaviors.

BACKGROUND: Nurses and physicians are key members of healthcare teams. While physicians are responsible for the diagnosis and treatment of patients, nurses are part of the treatment and the primary practitioners of patient care. Nurses' professional autonomy, collaboration with physicians, and practice behaviors in treatment and patient care practices are interrelated. OBJECTIVES: In the present study, we examined the mediating effect of physician-nurse collaboration on the relationship between nurses' practice behaviors and their professional autonomy. DESIGN: The present study utilized a cross-sectional survey design following quantitative methods. METHODS: This study was conducted in the Istanbul Province of Turkiye from September to October 2022. The sampling method used was a convenience sampling strategy to provide easier access to participants when selecting nurses from different health institutions. The mean age of the 295 nurses was 31.23 years, with ages ranging from 21 to 59 years. The data analysis was conducted using IBM's SPSS 24.0 software package and the Process Macro 4.0 plug-in. ETHICAL CONSIDERATION: Research ethics approval was obtained from the researcher's university. RESULTS: Physician-nurse collaboration is positively associated with practice behaviors and professional autonomy. Nurses' professional autonomy in practice behaviors through physician-nurse collaboration is significant (95% CI [0.043, 0.135]). DISCUSSION: Our results revealed the relationships among physician‒nurse collaboration, professional autonomy, and practice behaviors among nurses. CONCLUSION: Our results provide evidence on the underlying factors of nurses' practice behaviors in patient care and guide the development of an intervention program to enhance this collaboration. Hospital managers can contribute to a collaborative physician‒nurse working environment.

The effect of COVID-19 restrictions on sleep quality of university students and variables predicting sleep quality.

BACKGROUND/AIM: The COVID-19 pandemic has created a long period of stress for people worldwide and has significantly affected sleep duration. The pandemic revealed new stress factors that are likely to affect sleep. Uncertainty is a factor that leads to anxiety and depression, which affects sleep. It should also be noted that reductions in sleep quality rather than sleep duration are associated with negative consequences on mental health. This study aims to investigate online that how this situation affected university students. MATERIALS AND METHODS: This research, with a descriptive study design, was conducted in Turkey between June 01, 2021 and July 30, 2021. The sample included 604 people who accepted voluntary participation, chosen by the random selection method. In the study, sociodemographic information form, Pittsburgh sleep quality index (PSQI), morningness-eveningness questionnaire scale (MEQ Scale), Beck depression inventory (BDI), and Beck anxiety inventory (BAI) were used as data collection tools. Pearson correlation analysis was utilized to examine the relationship between the scales. Multiple regression analysis was performed to investigate the role of morningness-eveningness, anxiety, depression, and insomnia severity on sleep quality. RESULTS: Sleep quality was negatively correlated with morningness-eveningness scores (r = -0.32, P < 0.01), and positively and significantly related with anxiety (r = 0.43, P < 0.01), depression (r = 0.40, P < 0.01) and insomnia severity (r = 0.55, P < 0.01). According to regression coefficients, while anxiety (ß = 0.041, P < 0.001) and insomnia severity scores (ß = 0.226, P < 0.001) positively predicted sleep quality, depression did not predict it significantly (ß = 0.009, P > 0.05). A significant difference was found in sleep quality according to morning, evening, and intermediate types (F = 27.401, P < 0.001). CONCLUSION: Events related to the COVID-19 pandemic are associated with reduced sleep quality in connection with increasing negative moods. Considering the importance of sleep for a healthy life, efforts should be made to raise awareness about this issue and to provide psychological help to affected individuals.

The efficiency of susceptibility-weighted MRI in the differentiation of endometriomas from haemorrhagic ovarian cysts.

OBJECTIVES: The aim of the study was to investigate the efficiency of susceptibility-weighted magnetic resonance (MR) imaging (SWIs) in differentiating endometriomas from haemorrhagic ovarian cysts. MATERIALS AND METHODS: Between July 2017 and January 2019, 89 ovarian cystic lesions (57 endometriomas and 32 haemorrhagic cysts) that were identified as complicated cystic lesions on ultrasonography (US) and underwent lower abdominal MRI with susceptibility weighting were retrospectively evaluated. Final diagnoses were obtained with surgical pathological correlation and radiological-clinical follow-up. Two radiologists blinded to the final diagnoses retrospectively reviewed the images in consensus. The signal intensity on T1- and T2-weighted images and curved linear or punctate signal void areas on SWI were noted for the presence of lesions. RESULTS: Forty of the 57 endometriomas demonstrated the defined MRI criteria, including a cystic hyperintensity on T1-weighted images and hypointensity on T2-weighted images. The remaining 17 lesions did not demonstrate these criteria on conventional MR images. SWI showed punctate or curved linear signal void areas in 53 of 57 endometriomas (92.9%) and none of the haemorrhagic cysts. The sensitivity, specificity and accuracy of SWI in differentiating endometrioma from haemorrhagic cyst were 92.9%, 100.0%, and 95.5%, respectively. CONCLUSIONS: The addition of the SWI sequence to conventional MRI can help distinguish endometriomas from haemorrhagic ovarian cysts.