No abstract

The purpose of the study was to determine differences and correlations between the blood glucose values of venous blood and the first and second drops of capillary blood samples taken in three different ways. Blood samples were (a) venous blood, (b) the first and second drops of capillary blood from the middle finger of the right hand (only washed with soap and water), and (c) the first and second drops of capillary blood from the middle finger of the left hand (washed with soap and water and cleaned with alcohol). It was concluded that the fasting capillary blood glucose values could be used in place of venous blood glucose values, that only washing the hands with neutral soap and water for 30 s could be sufficient for capillary blood glucose measurement, and that the first or second blood drop from a clean hand could be used for capillary blood glucose measurement.

The aim of this study was to determine psychometric characteristics of the Turkish version of the Nurse Comfort Questionnaire (NCQ). The sample of the study comprised 275 nurses in the western part of Turkey. To collect the study data, the Sociodemographic Characteristics Questionnaire and NCQ were used. After the statistical analyses conducted to determine the validity and reliability of the Turkish version of the Ferrandiz and Martin-Baena's NCQ, some items were excluded from the original questionnaire, and a 39-item NCQ for Turkey was developed. The analyses showed that the 39-item NCQ had a valid and reliable structure of Turkish nurses.

No abstract

Objective: to determine the validity and reliability of the Turkish language version of the Moral Distress Questionnaire for nurses. Method: methodological study whose sample consisted of 200 nurses working in the internal medicine and surgery clinics of a university hospital. Data was collected using the personal information form and the Moral Distress Questionnaire for nurses. Results: in the Main Components Analysis, the items were grouped under three factors. Findings regarding confirmatory factor analysis: chi-square goodness: 2.28, goodness of fit index: 0.88, comparative fit index: 0.88, non-normed fit index: 0.86, root mean square error of approximation: 0.07. The Cronbach’s alpha coefficient was found to be 0.79 as a result of the analysis conducted in order to test the internal consistency of the scale. It was seen that these three factors explained 44.92% of the total variance. Conclusion: in this present study, the Turkish version of the Moral Distress Questionnaire was found to be valid and reliable for the Turkish society. It is recommended that the Moral Distress Questionnaire for nurses should be used in future studies to be conducted with nurses in order to investigate of issues of ethical dilemma.

Aim This research was planned to identify nurse managers' opinions on artificial intelligence and robot nurses. Background As the concepts of artificial intelligence and robot nurses are becoming widespread in Turkey, nurse managers are expected to guide and cooperate with nurses in the future in regard to these technologies. Methods The sample of the study consisted of 326 manager nurses, who were reached via the online questionnaire during the period of September to November 2021. A Nurse Managers Information Form and a Question Form on Artificial Intelligence and Robot Nurses were used to collect data. Data in this cross‐sectional descriptive study were collected between September 2021 and November 2021 by the online survey method. The descriptive statistics of the data were analysed with numbers and percentages. The difference between the knowledge of artificial intelligence and robot nurses and demographic characteristics was analysed with the chi‐square test. Results According to the findings, 66.9% of the nurse managers reported having heard the concepts of artificial intelligence and robot nurses previously. 67.2% stated that they thought that robot nurses would benefit the nursing profession, but 86.2% voiced disbelief that robots would replace nurses. Conclusions The majority of the participating nurse managers reported that artificial intelligence and robot nurses would not replace nurses but would be beneficial for nurses and would reduce their workload. Implications for Nursing Management It should be ensured that the nurse managers plan the areas in the hospital where artificial intelligence and robot nurses will be used and determine the possible risks. Awareness should be increased with in‐service trainings, and patient safety and ethical problems regarding the use of artificial intelligence and robot nurses should be identified.

No abstract

Objectives: Social media platforms such as Twitter allow people to openly express their views about many topics, including the nursing profession. COVID-19 is currently a frequently searched and discussed topics on Twitter. This study was performed to identify the image of nursing in the social media before and during COVID-19 pandemic in Turkey, and to review of public perceptions about nurses' communication on twitter in Turkey.Design: This study was conducted using content analysis with a sample of tweets posted on Twitter before and during the COVID-19 pandemic. Codes were created, including expressions of respect, anxiety, violence, gratefulness, anger, positivity, and negativity.Results: Findings showed that 35.65% of the 373 tweets posted prior to the COVID-19 pandemic were positive while 64.35% were negative. During the pandemic 91.94% of the 1006 tweets were positive and 8.06% were negative. Conclusion:The results of this study suggests that public opinion about nurses, as reflected on Twitter during the COVID 19 pandemic, was positive.