Estimating Utility Values for Health States of DFU Patients Using EQ-5D-5L and cTTO

Appropriateness of Artificial Intelligence Chatbots in Diabetic Foot Ulcer Management

Type 2 diabetes is a significant global health concern. It often causes diabetic foot ulcers (DFUs), which affect millions of people and increase amputation and mortality rates. Despite existing guidelines, the complexity of DFU treatment makes clinical decisions challenging. Large language models such as chat generative pretrained transformer (ChatGPT), which are adept at natural language processing, have emerged as valuable resources in the medical field. However, concerns about the accuracy and reliability of the information they provide remain. We aimed to assess the accuracy of various artificial intelligence (AI) chatbots, including ChatGPT, in providing information on DFUs based on established guidelines. Seven AI chatbots were asked clinical questions (CQs) based on the DFU guidelines. Their responses were analyzed for accuracy in terms of answers to CQs, grade of recommendation, level of evidence, and agreement with the reference, including verification of the authenticity of the references provided by the chatbots. The AI chatbots showed a mean accuracy of 91.2% in answers to CQs, with discrepancies noted in grade of recommendation and level of evidence. Claude-2 outperformed other chatbots in the number of verified references (99.6%), whereas ChatGPT had the lowest rate of reference authenticity (66.3%). This study highlights the potential of AI chatbots as tools for disseminating medical information and demonstrates their high degree of accuracy in answering CQs related to DFUs. However, the variability in the accuracy of these chatbots and problems like AI hallucinations necessitate cautious use and further optimization for medical applications. This study underscores the evolving role of AI in healthcare and the importance of refining these technologies for effective use in clinical decision-making and patient education.

The Impact of Underlying Conditions on Quality-of-Life Measurement Among Patients with Chronic Wounds, as Measured by Utility Values: A Review with an Additional Study

Significance: Quality of life (QoL) is important to patients with chronic wounds and is rarely formally evaluated. Understanding what comorbidities most affect the individual versus their wounds could be a key metric. Recent Advances: The last 20 years have seen substantial advances in QoL instruments and conversion of patient data to a single value known as the health utilities index (HUI). We review these advances, along with wound-related QoL, and analyze real-world comorbidities challenging wound care. Critical Issues: To understand the impact of underlying comorbidities in a real-world patient population, we examined a convenience sample of 382 patients seen at a hospital-based outpatient wound center. This quality reporting study falls outside the regulations that govern human subject research. Comorbid conditions were used to calculate HUIs using a variety of literature-reported approaches, while Wound-Quality-of-Life (W-QoL) questionnaire data were collected from patients during their first visit. The mean number of conditions per patient was 8; 229 patients (59.9%) had utility values for comorbidities/conditions, which were worse/lower than their wounds' values. Sixty-three (16.5%) patients had depression and/or anxiety, 64 (16.8%) had morbid obesity, and 204 (53.4%) had gait and mobility disorders, all of which could have affected W-QoL scoring. The mean minimum utility value (0.5) was within 0.05 units of an average of 13 studies reporting health utilities from wound care populations using the EuroQol 5 Dimension instrument. Future Directions: The comorbidity associated with the lowest utility value is what might most influence the QoL of patients with chronic wounds. This finding needs further investigation.

A national survey of Iranian general population to estimate a value set for the EQ-5D-5L

OBJECTIVES

The main aim of this study is to estimate a national value set of the EQ-5D-5L questionnaire for Iran.

METHODS

The composite time trade-off (cTTO) and discrete choice experiment (DCE) methods; and the protocol for EuroQol Portable Valuation Technology (EQ-PVT) were used to estimate the Iran national value set. 1179 face-to-face computer-assisted interviews were conducted with adults that were recruited from five Iran major cities in 2021. Generalized least squares, Tobit, heteroskedastic, logit, and hybrid models were used to analyze the data and to identify the best fitting model.

RESULTS

According to the logical consistency of the parameters, significance levels and prediction accuracy indices of the MAE; a heteroscedastic censored Tobit hybrid model combining cTTO and DCE responses was considered as the best fitting model to estimate the final value set. The predicted values ranged from - 1.19 for the worst health state (55555) to 1 for full health (11111), with 53.6% of the predicted values being negative. Mobility was the most influential dimension on health state preference values.

CONCLUSIONS

The present study estimated a national EQ-5D-5L value set for Iranian policy makers and researchers. The value set enables the EQ-5D-5L questionnaire to use to calculate QALYs to assist the priority setting and efficient allocation of limited healthcare resources.

Translation and validation of the Persian version of diabetic foot ulcer scaleshort form (DFS-SF)

Foot ulcer in diabetic patients could often result in significantly impaired quality of life. This study aimed to translate and validate the DFS-SF in Iran. The DFS-SF was translated into Persian, and then its validity and reliability were tested in 262 patients with DFUs. Content validity was evaluated using content validity ratio (CVR) and content validity index (CVI), and criterion validity was assessed through Spearman's correlation between dimensions of the DFS-SF and the EQ-5D-5L. Construct validity was measured using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and convergent-discriminant validity was examined by calculating the average variance extracted (AVE) and composite reliability (CR). Cronbach's alpha and intraclass correlation coefficient (ICC) were calculated to evaluate the reliability of the measure. CVR ≥0.66 and CVI = 0.81 were calculated. Spearman's correlation ranged from 0.23 to 0.78 across all dimensions. The results of EFA showed that all six dimensions of the DFS-SF had an eigenvalue more than 1; accounting for 68.88% of the total variance. CFA confirmed the DFS-SF as a six-dimension structure with good fit indices of χ2/df = 2.15 < 5, RMSEA = 0.06 < 0.08, CFI = 0.91 ≥ 0.90, TLI = 0.90 ≥ 0.90, and RMR = 0.04, as well as with adequate fit indices of GFI = 0.84 ≤ 0.90, NFI = 0.86 ≤ 0.90. Estimates of ≥0.50 for AVE were not observed in two of the six dimensions and CR ≥0.70 was obtained for all dimensions. The reliability was calculated with a Cronbach's alpha of 0.89 and ICC >0.69 for all dimensions. Our findings confirmed the validity and reliability of the Persian DFS-SF; therefore, it can be used to assess QoL in patients with DFSs in clinical and research settings in Iran.

Effectiveness of Self-concept Management of Patients with Depression in Diabetic Ulcer

BACKGROUND

This study explores the management of self-concept in improving the quality of life of diabetic ulcer patients. Low confidence in the quality of life is a factor causing patients with long-term diabetes to believe they cannot be cured properly. Ulcers result from diabetes mellitus complications due to the nervous system and blood vessel damage. Patients with diabetic ulcers experience depression and feel acute stress when the disease has been categorized as a chronic condition.

METHODS

This study uses quantitative methods with a cross-sectional study design approach. The data collection techniques used purposive sampling and had 82 diabetic ulcer sufferers as respondents in the study.

RESULTS

This study empirically proves that (p-value ≤ α=0.05) where there is effective management of the concept of self-health applied by diabetic ulcer patients in reducing the level of depression and sufferers can increase their confidence in better health factors.

CONCLUSION

The effectiveness of self-care management is an important indicator in overcoming diabetic ulcer disease. The low management of self-concept for people with diabetes will certainly impact increasing depression and acute stress, decreasing the quality of life for sufferers.