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Diabetic foot patients frequently experience delayed wound healing due to compromised vascularity and oxygenation, which increases the risk of graft failure. Hyperbaric oxygen therapy (HBOT) has demonstrated potential in enhancing graft survival and accelerating wound healing in these patients. This study aimed to assess the efficacy of HBOT in improving graft success and wound healing rates in diabetic foot patients undergoing foot graft reconstruction. Forty-five diabetic patients with tissue defects requiring graft procedures were included. Among these, 28 patients received HBOT (2.4 ATA for 120 min daily), and 17 served as controls. Wound healing was assessed based on milestones of wound closure (25%, 50%, 75% and complete healing). The control group consisted of patients with adequate graft nutrition who did not require HBOT or were unable to undergo HBOT for other reasons. Statistical analyses were performed to compare healing times and graft retention rates between the two groups. Patients in the HBOT group exhibited significantly faster healing, with a median time to 50% healing of 18 days compared to 30.5 days in the control group (p < 0.05). A moderate negative correlation was observed between graft retention rates and time to complete healing (p < 0.05), indicating that higher graft retention was associated with shorter healing times. Despite higher HbA1c levels in the HBOT group, favourable healing outcomes were achieved. No adverse effects were reported in the HBOT group. HBOT significantly enhances graft survival and accelerates wound healing in diabetic foot patients, even in cases with poor glycaemic control. HBOT emerges as a valuable adjunctive treatment for patients with compromised vascular beds and hypoxic tissues. Future randomised controlled trials are needed to validate these results.
The lack of artificial intelligence applications in nursing education and the nursing profession in Turkey and the need for strategies for integrating artificial intelligence into the nursing profession continues. At this point, there is a need to transform the negative attitudes and anxiety that may occur in nurses.
It was aimed to reorganize the professional transformation in this parallel by analyzing the effect of digital leadership perception, which is explained as how nurses approach digital technologies and innovations and their awareness of how and with which methods they can use these technologies on artificial intelligence anxiety and attitude in the nursing profession.
The study was designed as descriptive, correlational, and cross-sectional.
The research was conducted by reaching 439 nurses working in hospitals operating in three different regions of Turkey by simple random sampling method.
In the first part of the data collection tool used in this study, digital leadership scale, artificial intelligence use anxiety, and artificial intelligence attitude scales were used, including questions determining the demographic information of nurses, their relationship with technology, artificial intelligence usage status and its importance in the profession.
It was determined that 29.8% of the nurses had a good relationship with technology, 66.3% knew about using artificial intelligence in health, and 27.3% wanted it to be more involved in their lives. It was determined that nurses' perceptions of digital leadership were at a medium level of 46.9% and a high level of 41.7%, 82.7% had a positive attitude towards artificial intelligence, and 82.7% had low or medium level anxiety when their artificial intelligence anxiety status was examined. There was a significant and negative relationship between digital leadership and AI anxiety (r = −0.434; p < 0.01), a significant and positive relationship between digital leadership and AI attitude (r = 0.468; p < 0.01), and a significant and negative relationship between AI attitude and AI anxiety (r = −0.629; p < 0.01). Finally, it was determined that nurses' perception of digital leadership indirectly affected AI anxiety through AI attitude (β = −0.230, 95% CI [−0.298, −0.165]).
It is suggested that the anxiety and attitude towards artificial intelligence can be transformed positively with the effect of digital leadership, and in this parallel, the digital leadership phenomenon should be evaluated as a practical implementation strategy in integrating artificial intelligence into the nursing profession.
Our study showed that artificial intelligence attitude has a mediating role in the indirect effect of the perception of digital leadership in nursing on AI anxiety. It was determined that nurses' digital leadership perception, artificial intelligence anxiety, and artificial intelligence attitude differed significantly with demographic variables.
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