Emine Selda Gündüz

Prof. Dr. Emine Selda Gündüz

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 August 2022 in Pharmacological Research
Verified
Journal Article
Closed access
MHMehrdad Hashemi
Mehrdad Hashemi
MMMarzieh Sadat Moosavi
Marzieh Sadat Moosavi
HAHedyeh Maghareh Abed
Hedyeh Maghareh Abed
MDMaryam Dehghani
Maryam Dehghani
MAMasoumeh Aalipour
Masoumeh Aalipour
SSSaeed Samarghandian
Saeed Samarghandian

15 July 2023 in Journal of Food Measurement and Characterization
Verified
Journal Article
Closed access
PDF file
Hassan Karimi-malehHassan Karimi-maleh
Hassan Karimi-maleh
RDRozhin Darabi
Rozhin Darabi
MBMehdi Baghayeri
Mehdi Baghayeri
FKFatemeh Karimi
Fatemeh Karimi
LFLi Fu
Li Fu
EDE. N. Dragoi
E. N. Dragoi

1 March 2022 in Expert Systems with Applications
Verified
Journal Article
Closed access
ATAshu Taneja
Ashu Taneja
SRShalli Rani
Shalli Rani
AAAdi Alhudhaif
Adi Alhudhaif
Deepika KoundalDeepika Koundal
Deepika Koundal
EGEmine Selda Gündüz
Emine Selda Gündüz

17 October 2024 in Nursing in Critical Care
Verified
Journal Article
Open access
EGEmine Selda Gündüz
Emine Selda Gündüz
NONilgun Kavrut Ozturk
Nilgun Kavrut Ozturk
Background: Nurses face a high level of mental workload while performing their duties. High levels of mental workload can negatively impact nurses. Aim: The aim of this research was to determine the relationship between mental workload and burnout levels of intensive care nurses. Study design: Descriptive‐correlational design has been adopted in this research. The sample consisted of 156 nurses working in the intensive care units of a hospital in the south of Turkey between September and December 2023. Research data were collected with the ‘Participant Information Form’, which includes socio‐demographic characteristics, ‘Mental Workload Scale’ and ‘Maslach Burnout Scale’. Results: Almost all (95.5%) of the nurses participating in the study reported that their mental workload was high. It has been determined that there is a strong positive relationship between mental workload and burnout. According to the regression model obtained from the research, being a woman ( β = .165, p = .008) and emotional workload ( β = −695, p < .001) are determinants of emotional exhaustion. These variables explain emotional exhaustion at a rate of 50.1% (adjusted R 2 = .501). Emotional workload ( β = .399, p = .003) is the most important determinant of personal accomplishment. This variable explains 19.0% (adjusted R 2 = .190) of personal accomplishment. The most important determinant of depersonalization is emotional workload ( β = .324, p < .001). It was determined that this variable explained 24.4% (adjusted R 2 = .244) of depersonalization. Conclusions: This research revealed that there is a strong positive relationship between mental workload and burnout and that increasing mental workload can increase burnout. Relevance to Clinical Practice: Nurses' risk of emotional exhaustion increases as mental workload increases. Reducing cognitive workload, temporary workload and emotional workload increases the personal accomplishment experienced by nurses. In addition, as temporary workload, emotional workload and performance‐related workload increase, the depersonalization experienced by nurses also increases.

21 March 2024 in International Nursing Review
Verified
Journal Article
Closed access
EGEmine Selda Gündüz
Emine Selda Gündüz
NYNezaket Yildirim
Nezaket Yildirim
YAYeliz Akatin
Yeliz Akatin
NGNurcan Akgül Gündoğdu
Nurcan Akgül Gündoğdu

5 November 2024 in Journal of Clinical Nursing
Verified
Journal Article
Open access
EGEmine Selda Gündüz
Emine Selda Gündüz
MDMelike Durmaz
Melike Durmaz
BABahattin Kerem Aydin
Bahattin Kerem Aydin
Aim: The aim of this study is to establish the correlation between the degree of psychological resilience and readiness for discharge in patients undergoing orthopaedic surgery. Design: This study is of a descriptive correlational type. Material and Method: This study comprised a cohort of 190 patients who were admitted to the orthopaedics and traumatology department and had surgical procedures performed between November 2023 and April 2024. The study data were gathered via completion of the Introductory Information Form, the Psychological Resilience Scale and the Hospital Discharge Readiness Scale. IBM SPSS 25 package program was used to analyse the research data. Results: In this study, 34.2% of the participants stated that they did not feel ready for discharge. Predictors of Readiness for Hospital Discharge were identified as being male ( β = 0.118, p = 0.003), living alone ( β = 0.222, p < 0.001), having undergone prosthesis, fracture or amputation surgery ( β = 0.161, p < 0.001), not having received discharge training ( β = 0.122, p = 0.001), not feeling ready for discharge ( β = 0.442, p < 0.001) and resilience ( β = 0.246, p < 0.001). These variables were found to explain 88.7% of Readiness for Hospital Discharge (adjusted R 2 = 0.773). Conclusion: The findings of this study emphasise that including patients in their healthcare and creating comprehensive discharge plans tailored to their specific care requirements have a beneficial impact on their readiness for discharge. Additionally, the study demonstrates that enhancing psychological resilience plays a mediating role in facilitating discharge readiness. Implications for the Patient Care: Patients who feel ready for discharge are less likely to be hospitalised and their recovery may be faster. Including the patient in the discharge plan, taking individual needs into consideration and disseminating programmes to increase resilience should be an integral part of holistic care. Reporting Method: The STROBE checklist was applied in the reporting of the finding.