Hazan Tomar Bozkurt

Objective: This study aimed to systematically evaluate and compare the information quality, scientific reliability, and readability of the responses provided by four widely used large language models (LLMs)—ChatGPT, Google Gemini, DeepSeek, and Claude—to frequently asked questions regarding postpartum depression (PPD).Methods: This descriptive cross-sectional study assessed 40 LLM-generated responses concerning PPD. Information quality was assessed using the DISCERN tool, scientific reliability was evaluated using a 5-point Likert scale, and readability was measured using the Flesch Reading Ease Score (FRES) and Flesch–Kincaid Grade Level (FKGL).Results: All four models met the adequacy thresholds for information quality and scientific reliability. DeepSeek achieved the highest mean DISCERN score, which was significantly higher than that of Claude. No statistically significant difference was observed in scientific reliability scores across the four models. Regarding readability, Claude produced significantly more complex texts than ChatGPT and Google Gemini based on FKGL scores. Mean FRES values for all models fell within the "difficult" to "fairly difficult" range, with no significant between-group difference.Conclusion: All four LLMs demonstrated adequate information quality and scientific reliability regarding PPD, with DeepSeek exhibiting the highest information quality. However, substantial deficiencies were identified in readability across all models, with Claude producing the most linguistically complex outputs. These findings suggest that while LLMs show promising potential as complementary health information sources for PPD, their outputs require simplification to meet recommended readability standards for patient education, particularly for postpartum populations who may experience cognitive and emotional barriers to comprehending complex health information.

Disasters of natural origin, man-made and technological disasters are one of the current issues that always exist in our lives. Disasters are frequently heard on the world agenda and their negative effects on society are discussed. Recently, the Covid-19 epidemic has been on the agenda of the whole world as a global disaster and its effects are still ongoing. The unexpected, sudden, uncontrollable nature of disasters and their threatening to our lives are accepted as a traumatic experience with the effect of psychological destruction. In addition to meeting the basic physical needs of people who have experienced the disaster and are trying to hold on to life after the disaster, psychosocial interventions also have an important place in terms of mental health services. The purpose of this review; It is to explain the psychosocial interventions that can be applied in the emergency periods of disasters and for people who have experienced the disaster.

Lityum, 1800’lü yılların başında İ̇sveçli Arfvedson tarafından keşfedilmiş ve 1950’li yıllarda psikiyatri alanında kullanılmaya başlanmıştır. Yetişkinlerde bipolar tedavisinde ilk sırada gelen bir duygudurum düzenleyici ve altın standart bir tedavi ajanıdır. Ancak, klinik uygulamada bireyler arasında lityum tedavisine yanıt oranları hastaların farklı özellikleri nedeniyle oldukça değişken olup, hangi hastanın lityuma iyi yanıt vereceğini öngörmek çoğunlukla zordur. Lityum tedavi yanıtını öngörmede klinisyenler öncelikle klinik bir fenotipi tanımaya odaklanmış gibi durmaktadır. Bu yazıda lityum tedavi yanıtının yordayıcıları ile ilgili araştırmalar gözden geçirilerek; klinik, biyokimyasal, nörogörüntüleme ve genetik yordayıcılar olmak üzere dört başlık altında ele alınmıştır.