Journal of evaluation in clinical practice
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Urinary incontinence is an important problem with potentially adverse effects on the psychological, social and personality development of children. Today, with the developing technology, the use of information and communication technologies such as wearable technology, message services and mobile applications has become widespread in solving health problems. In this study, it was aimed to develop a mobile application that facilitates the follow-up of children, increases their compliance with treatment and ensures the continuity of communication between them and the health worker. The methodology, design and preliminary evaluation results of the mobile application are presented in this article. ⋯ NCT05815940.
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This study aims to evaluate the workload of clinical nurses by measuring the work relative value (work RVU) of common nursing items based on the resource-based relative value scale in China. ⋯ We have adhered to relevant EQUATOR guidelines and named the reporting method.
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Family-centred care (FCC) emphasizes a partnership approach to care between healthcare providers (HCPs), patients, and families. FCC provides significant benefits to both children and families; however, challenges exist in implementing FCC into practice. This study aimed to explore HCPs' FCC behaviours in multidisciplinary specialty clinics at a tertiary pediatric health care center in Canada. ⋯ Providing general information and emotional support to patients and families are areas for improvement for all specialty clinics surveyed. Given genetic counsellors (GCs) expertise in education and counselling, GC integration in these clinics is one way in which FCC can be improved. Our study also shows that years of work experience influences HCPs' capacity to provide FCC.
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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.