Journal of evaluation in clinical practice
-
The international policy agenda has recently advocated for the development of patient-centeredness in healthcare service delivery. Consequently, various stakeholders in the healthcare systems have expressed a vital need for identifying strategies and tools that can enhance patient-centeredness. ⋯ We recommend that administrators and policy makers in the healthcare industry prioritise the implementation and research of strategies such as telehealth tools and electronic health information systems to enhance access and patient-centeredness in the healthcare systems.
-
Smombie has become an important problem especially in terms of adolescent health. The aim of this study was to translate the Smombie Scale for Adolescents (SSA) into Turkish and to examine its psychometric properties. ⋯ This study shows that the scale is a reliable tool for assessing adolescents' smombie tendencies. It is thought that the scale will contribute to the protection and development of adolescent health.
-
The change of IgG of COVID-19 vaccine was thought to be an effect of diet quality or daily habits. ⋯ Medium diet quality has been seen to affect antibody levels positively. At the same time, it is thought that alcohol use negatively affects serum IgG antibody response in the long term. Other than that, there was shown to be a correlation between IgG levels and DQI.
-
Outcome monitoring can support the delivery of quality service that meets the needs of clients, clinicians and services. However, few studies have examined client or staff perspectives on the design and implementation of outcomes monitoring within a service. Implementation of outcomes monitoring requires understanding the preferences and expectations of relevant stakeholders. ⋯ Findings suggest that an effective outcome monitoring framework should be client-led, tailored to the individual's needs, and provide feedback on progress. Outcomes monitoring should also be efficient, accessible and allow for safe information sharing.
-
Artificial Intelligence (AI) large language models (LLM) are tools capable of generating human-like text responses to user queries across topics. The use of these language models in various medical contexts is currently being studied. However, the performance and content quality of these language models have not been evaluated in specific medical fields. ⋯ Although LLMs provide parents with high-accuracy information about CKD, their use is limited compared with that of a reference source. The limitations in the performance of LLMs can lead to misinformation and potential misinterpretations. Therefore, patients and parents should exercise caution when using these models.