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    Development of the self-efficacy scale in caregivers of Duchenne muscular dystrophy patients
    (Ios Press, 2024) Turken, Askeri; Capar, Hasim; Cakmak, Cuma; Kurt, Mehmet Emin; Mentes, Nurettin
    BACKGROUND: It is important to measure the self-efficacy knowledge of the caregiver of Duchenne muscular dystrophy (DMD) patients in order to overcome the problems that arise and carry out the care process in a healthy manner. OBJECTIVE: This research was carried out to develop a self-efficacy scale in caregivers of individuals with DMD. METHODS: The study was conducted with 99 volunteer DMD caregivers to evaluate the psychometric properties of the developed scale. Exploratory Factor Analysis (EFA) was performed with the SPSS 25 Package Program to determine the factors of the scale. Confirmatory Factor Analysis (CFA) analysis was performed with AMOS 23 to confirm the factors obtained by EFA. Cronbach's alpha coefficient was used for the internal consistency of the DMD-CSES. RESULTS: A valid and reliable scale was obtained to measure the self-efficacy of caregivers of DMD patients. CONCLUSION: Although some scales have been developed to evaluate the care burden of family members who care for patient-centered symptoms and functional changes in patients with DMD, there is no single scale that adequately describes the conditions and resources of caregivers on a global scale. The search for a definitive scale is expected to continue until a definitive treatment for the disease is found. Developing a valid and reliable scale to identify the self-efficacy, knowledge, skills and resources of caregivers with a common perspective of physicians and health management team centred on patients with DMD will be effective in practice.
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    A research on examination of medical errors throughcourt judgments
    (2017) Cakmak, Cuma; Demir, Huseyin; Kidak, Levent Bekir
    decided by the Supreme Court were examined. Material and Methods: The work is retrospective, descriptive and analytical, and it is limited to civil court decisions on a suit for error. Sixty court decisions that were randomly selected in the study were obtained via www.yargitay.gov.tr and www.kazanci.com.tr. The decisions were examined in detail by researchers. Results: According to the research result, it is understood that the medical errors mostly occur in gynecology and obstetrics and general surgery branches. Treatment errors are the most important cause of medical errors. Material and moral damage ranks first, and death ranks the second due to medical errors. It has been revealed that the predominant responsibilities of medical errors are on physicians in large part. The two most common causes of medical errors are the choice of the wrong treatment method and surgical errors. Conclusion: In the light of the analyzes, it is seen that medical errors are largely human-induced factors. Therefore, establishing mechanism to minimize medical errors, increasing the level of awareness of medical staff about medical errors, to minimize wrong treatment method and surgical errors thought to be effective strategies to prevent medical errors.
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    Validity and reliability of the Pandemic Fatigue Scale (PFS) in the Turkish population
    (Ios Press, 2023) Kurt, Mehmet Emin; Capar, Hasim; Cakmak, Cuma; Turken, Askeri; Mentes, Nurettin
    BACKGROUND: The measures developed to fight the COVID-19 pandemic caused fear, stress and anxiety in people over time. It was reported that pandemic fatigue, associated with the gradual loss of motivation to follow the implemented protective measures, emerged in societies. OBJECTIVE: This cross-sectional-methodological study aimed to validate the Turkish version of the Pandemic Fatigue Scale, developed by Lilleholt et al. (2020). METHODS: A web-based questionnaire was conducted to examine the validity and reliability of the Turkish version of the PFS. 1149 participants from all regions in Turkey participated. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were performed. RESULTS: As a result of the KMO and Bartlett's Test of Sphericity, the scale was suitable for the factor analysis. According to EFA, the scale has two sub-factors. The first sub-factor explained 48.7%, and the second sub-factor explained 16.7% of the total variance. Factor loadings of items varied between 0.67 and 0.89. CFA shows that acceptable fit values were obtained for the RMSEA, GFI, AGFI, CFI, NFI and IFI fit indices. CONCLUSIONS: The results support that PFS is a valid and reliable screening tool that can be used to measure the phenomenon of pandemic fatigue.