Journal of evaluation in clinical practice
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This study aimed to adapt the 6-Item Self-Efficacy Scale for Chronic Disease Management (SEMDC-6S) to women with endometriosis in the Turkish population and to evaluate its validity and reliability. ⋯ The Turkish version of the SEMDC-6S is a valid and reliable tool for assessing the self-efficacy of women with endometriosis.
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The patient's perception of physician empathy has a positive influence on patient behavior and treatment effects. The scale of Consultation and Relational Empathy (CARE) scale has been widely used to measure patients' perceptions of doctor empathy. However, the CARE scale lacks a standardized Mandarin version. In this study, we developed a Mandarin version of the CARE scale and validated its quality. ⋯ The scale could serve as an evaluation tool for patients' perceptions of doctors' empathy in primary-level medical service settings in Chinese mainland.
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Throughout the twentieth century and beyond, a global trend of declining mortality rates and an increase in life expectancies was noted until the onset of the coronavirus disease 2019 (COVID-19) pandemic. A reduction in life expectancies was observed in most countries, including South Asia, during 2020 and 2021 due to the excess mortality caused by the pandemic. ⋯ These findings highlight the pandemic's profound impact on mortality dynamics, emphasising the need for targeted interventions to mitigate its long-term effects on population health and longevity.
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In the context of adjusting to life with a permanent colostomy, this study explored how perceived social support from family, friends and others influences patients' self-efficacy in managing their stoma and engaging with their social lives. ⋯ Stronger perceived social support was linked to higher stoma self-efficacy in permanent colostomy patients.
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Artificial intelligence (AI) has significant transformative potential across various sectors, particularly in health care. This study aims to develop a protocol for the content analysis of a method designed to assess AI applications in drug-related information, specifically focusing on contraindications, adverse reactions, and drug interactions. By addressing existing challenges, this preliminary research seeks to enhance the safe and reliable integration of AI into healthcare practices. ⋯ This preliminary study demonstrates the potential for using an AI-powered tool to standardize drug-related information retrieval, particularly for contraindications and adverse reactions. While AI responses were generally appropriate, improvements are needed in identifying contraindicated drug interactions. Further research with larger datasets and broader evaluations is required to enhance AI's reliability in healthcare settings.