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The integration of generative artificial intelligence (AI) into academic research writing has revolutionized the field, offering powerful tools like ChatGPT and Bard to aid researchers in content generation and idea enhancement. We explore the current state of transparency regarding generative AI use in nursing academic research journals, emphasizing the need for explicitly declaring the use of generative AI by authors in the manuscript. Out of 125 nursing studies journals, 37.6% required explicit statements about generative AI use in their authors' guidelines. No significant differences in impact factors or journal categories were found between journals with and without such requirement. A similar evaluation of medicine, general and internal journals showed a lower percentage (14.5%) including the information about generative AI usage. Declaring generative AI tool usage is crucial for maintaining the transparency and credibility in academic writing. Additionally, extending the requirement for AI usage declarations to journal reviewers can enhance the quality of peer review and combat predatory journals in the academic publishing landscape. Our study highlights the need for active participation from nursing researchers in discussions surrounding standardization of generative AI declaration in academic research writing.
This study aimed (1) to describe how trends in pediatric palliative care (PPC) utilization changed from 2002 to 2017, and (2) to examine factors predicting PPC utilization among decedent children in Taiwan.
This retrospective, correlational study retrieved 2002–2017 data from three national claims databases in Taiwan.
Children aged 1 through 18 years who died between January 2002 and December 2017 were included. Pediatric palliative care utilization was defined as PPC enrollment and PPC duration, with enrollment described by frequency (n) and percentage (%) and duration described by mean and standard deviation (SD). Logistic regression was used to examine the associations of various demographic characteristics with PPC enrollment; generalized linear regression was used to examine associations of the demographic characteristics with PPC duration.
Across the 16-year study period, PPC enrollment increased sharply (15.49 times), while PPC duration decreased smoothly (by 29.41%). Cause of death was a continuous predictor of both PPC enrollment and PPC duration. The children less likely to be enrolled in PPC services were those aged 1 to 6 years, boys, living in poverty, living in rural areas, and diagnosed with life-threatening noncancer diseases.
This study used nationwide databases to investigate PPC enrollment and PPC duration among a large sample of deceased children from 2002 to 2017. The findings not only delineate trends and predictors of PPC enrollment and PPC duration but also highlight great progress in PPC as well as the areas still understudied and underserved. This information could help the pediatric healthcare system achieve the core value of family-centered care for children with life-threatening diseases and their families.
Pediatric palliative care should be widely and continuously implemented in routine pediatric clinical practice to enhance quality of life for children and their families at the end of life.
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