WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6
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Article The Relationship Between Spiritual Well-Being, Resilience, and Adherence Among Patients Receiving Hemodialysis Treatment in Türkiye(Springer, 2026) Bulbul, Elif; Sukut, Ozge; Dikec, GulThis study examined the relationship between spiritual well-being, resilience, and adherence of hemodialysis patients and the factors affecting them. The data were collected from 182 hemodialysis patients receiving treatment in a dialysis center who met the inclusion criteria by purposive sampling method in Istanbul. The data were collected with the patient description questionnaire, which measures patient sociodemographic characteristics and characteristics related to the medical diagnosis, the Spiritual Well-Being Scale, the Brief Resilience Scale, and the End-Stage Renal Failure-Adherence Questionnaire. Gender, educational status, employment status, and mean age of patients were found to be correlated with psychological resilience. Marital status, employment status, cohabitants, and mean age of patients were found to be correlated with spiritual well-being. Gender, number of weekly dialysis sessions, and dialysis competencies were found to be correlated with hemodialysis patients' adherence to their treatment. Hemodialysis patients' adherence was positively correlated with both the faith subscale of spiritual well-being and psychological resilience. According to regression analysis, gender and resilience explained 12.8% of the total variance of adherence. This study determined that resilience is an essential factor in increasing the adherence of hemodialysis patients.Article Evaluation of Renal Functions of Inpatients With Mental Disorders(Slack inc, 2024) Dikec, Mehmet; Dikec, Gul; Ata, Elvan Emine; Ozer, Duygu; Dіkeç, Mehmet; Dіkeç, GülThe current study aimed to investigate the renal functions of inpatients with mental disorders. Data for this retrospective and descriptive study were collected from January 2021 to April 2021 from the records of patients who were hospitalized in the psychiatry clinic of a training and research hospital between 2018 and 2020. The study sample comprised hospital records of 376 patients. A significant negative relationship was determined between patients'glomerular filtration rate (GFR) and glucose level, duration of mental disorder, number of hospitalizations, and duration of medication use (p < 0.05). According to the analysis of patients' renal functions, mean GFR was statistically significantly lower in women with physical chronic diseases and diagnosed with personality disorders. Psychiatric-mental health nurses should evaluate and monitor renal functions of individuals with mental disorders and take precautions before kidney diseases develop.Article Citation - WoS: 4Citation - Scopus: 5Qualitative and Artificial Intelligence-Based Sentiment Analysis of Turkish Tweets Related To Schizophrenia(Turkiye Sinir ve Ruh Sagligi dernegi, 2023) Dikec, Gul; Oban, Volkan; Usta, Mirac BarisObjective: The aim of this study was to qualitatively examine Turkish tweets about schizophrenia in respect of stigmatization and discrimination within a one-month period and to conduct emotional analysis using artificial intelligence applications. Method: Using the keyword 'schizophrenia,' Turkish tweets were gathered from the Python Tweepy application between December 19, 2020 and January 18, 2021. Features were extracted using the Bidirectional Encoder Representations from Transformers (BERT) method and artificial neural networks and tweets were classified as positive, neutral, or negative. Approximately 5% of the tweets were qualitatively analyzed, constituting those most frequently liked and retweeted. Results: The study found that, of the total of 3406 schizophrenia-related messages shared in Turkey over a period of one-month, 2996 were original, and were then retweeted a total of 1823 times, and liked by 25,413 people. It was determined that 63.4% of the tweets shared about schizophrenia contained negative emotions, 28.7% were neutral, and 7.71% expressed positive emotions. Within the scope of the qualitative analysis, 145 tweets were examined and classified under four main themes and two sub-themes; namely, news about violent patients, insult (insulting people in interpersonal relationships, insulting people in the news), mockery, and information. Conclusion: The results of this study showed that the Turkish tweets about schizophrenia, which were emotionally analyzed using artificial intelligence were found often to contain negative emotions. It was also seen that Twitter users used the term schizophrenia, not in a medical sense but to insult and make fun of individuals, frequently shared the news that patients were victims or perpetrators of violence, and the messages shared by professional branch organizations or mental health professionals were primarily for conveying information to the public.Article Citation - WoS: 3Citation - Scopus: 3Protocol Registration and Reporting of Systematic Review and Meta-Analyses Published in Psychiatric and Mental Health Nursing Journals: a Descriptive Study(Taylor & Francis inc, 2023) Dikec, Gul; Ozer, DuyguAlthough it is not mandatory for systematic review and meta-analysis studies, protocol registration is essential in the prevention of biases. This study aims to investigate the protocol registration status and reporting of systematic reviews and meta-analyses published in psychiatric nursing journals. This descriptive study's data were obtained by scanning the 10 mental health and psychiatric nursing journals in which the studies of psychiatric nurses were most frequently published and by examining the systematic reviews and meta-analyses published between 2012-2022. A total of 177 completed studies have been reviewed. It was determined that 18.6% of the examined systematic reviews and meta-analyses had a protocol registration. Almost all (96.9%) of the registered studies were registered with PROSPERO, and 72.7% were registered prospectively. It was determined that the registration status of the studies changed statistically according to the country where the studies' authors were located. When the published studies were examined, it was determined that approximately one out of every five studies were registered. With the prospective registration of systematic reviews, biases could be prevented, and evidence-based interventions can be made based on the knowledge obtained.Article Citation - WoS: 3Citation - Scopus: 3Which Factors Affect Internalized Stigmatization in Adolescents With Mental Disorders?(Wiley, 2022) Dikec, Gul; Bilac, Oznur; Kardelen, Cansin; Sapmaz, Sermin Yalin; Kandemir, HasanPurpose: The aim of this descriptive study was to determine the factors affecting internalized stigmatization of adolescents with mental disorders. Method: The study data were collected in a university hospital between August 1, 2020 and July 30, 2021 (n = 123), using a Personal information form and the Internalized Stigmatization of Mental Illness-Adolescent Form (ISMI-AF). Results: Gender and the number of hospitalizations were determined to be independent variables with explanatory power in the ISMI-AF, and in the model created with these variables, it was determined that these variables explained 18% of the change in the total points of the ISMI-AF. Conclusions: It could be recommended that psychosocial programs are developed with the aim of decreasing internalized stigmatization and increasing the psychological resilience of adolescents.Article Citation - WoS: 2Citation - Scopus: 4Qualitative and Artificial Intelligence-Based Sentiment Analyses of Anti-Lgbti Plus Hate Speech on Twitter in Turkey(Taylor & Francis inc, 2023) Dogan, M. Berna; Oban, Volkan; Dikec, GulThe aim of this study was to evaluate hate speech in Turkish LGBTI+-related tweets during a one-month period of artificial intelligence-based sentiment analyses. Turkish tweets related to LGBTI+, were retrieved using Python library Tweepy and were evaluated by sentiment analysis. The researchers then performed a qualitative analysis of the most frequently liked and retweeted tweets (n = 556). Sentiment analysis revealed that 69.5% of tweets were negative, 23.3% were neutral, and 7.2% were positive. The qualitative analysis was grouped under seven themes: LGBTI+ Club; Terrorism and Terrorist Organization Membership; Perversion, Illness, Immorality; Presence in History; Religious References; Insults; and Humiliation. The results of this study show that anti-LGBTI+ hate speech in Turkey is significant in terms of both quality and quantity. As LGBTI+ individuals are at risk for excess mental distress and disorders, it is important to understand the risks and other factors that ameliorate stress and contribute to mental health in social media.