Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study.

BACKGROUND: The world has witnessed increased adoption of large language models (LLMs) in the last year. Although the products developed using LLMs have the potential to solve accessibility and efficiency problems in health care, there is a lack of available guidelines for developing LLMs for health care, especially for medical education. OBJECTIVE: The aim of this study was to identify and prioritize the enablers for developing successful LLMs for medical education. We further evaluated the relationships among these identified enablers. METHODS: A narrative review of the extant literature was first performed to identify the key enablers for LLM development. We additionally gathered the opinions of LLM users to determine the relative importance of these enablers using an analytical hierarchy process (AHP), which is a multicriteria decision-making method. Further, total interpretive structural modeling (TISM) was used to analyze the perspectives of product developers and ascertain the relationships and hierarchy among these enablers. Finally, the cross-impact matrix-based multiplication applied to a classification (MICMAC) approach was used to determine the relative driving and dependence powers of these enablers. A nonprobabilistic purposive sampling approach was used for recruitment of focus groups. RESULTS: The AHP demonstrated that the most important enabler for LLMs was credibility, with a priority weight of 0.37, followed by accountability (0.27642) and fairness (0.10572). In contrast, usability, with a priority weight of 0.04, showed negligible importance. The results of TISM concurred with the findings of the AHP. The only striking difference between expert perspectives and user preference evaluation was that the product developers indicated that cost has the least importance as a potential enabler. The MICMAC analysis suggested that cost has a strong influence on other enablers. The inputs of the focus group were found to be reliable, with a consistency ratio less than 0.1 (0.084). CONCLUSIONS: This study is the first to identify, prioritize, and analyze the relationships of enablers of effective LLMs for medical education. Based on the results of this study, we developed a comprehendible prescriptive framework, named CUC-FATE (Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability), for evaluating the enablers of LLMs in medical education. The study findings are useful for health care professionals, health technology experts, medical technology regulators, and policy makers.

The accuracy of 10 g monofilament use for clinical screening of diabetes peripheral neuropathy among Indian population.

OBJECTIVE: The purpose of this study was to test the diagnostic accuracy of the 10g monofilament to screen for diabetic peripheral neuropathy (DPN) in India. The study further assessed the effect of physical activity, footwear use, and occupation on the outcome. METHODS: Non-probabilistic purposive sampling was used to recruit patients with T2DM to assess the diagnostic utility of the 10 g monofilament. 160 participants were recruited divided into 4 groups. Each group consisted of 40 participants with 20 under each category described as "Physical Worker Vs Non- physical worker" (n = 40), "Barefoot Vs Footwear" (n = 40), "Use of Slipper at Home Vs No-slippers use at home" (n = 40), "Agriculture Vs Non- agriculture" (n = 40). 10 g monofilament was used to detect the presence of protective sensation towards screening of DPN against biothesiometer (Vibration Pressure Threshold). RESULTS: The area under the ROC (receiver operating characteristic) curve was 0.6 for identifying DPN using the 10 g monofilament. Physical work (p = 0.04), footwear (p = 0.04), slipper use at home (p = 0.02) and occupation (p = 0.02) impacted on the diagnostic utility of the 10g monofilament. CONCLUSIONS: This study shows that the 10 g monofilament has limited accuracy for detecting DPN in the Indian population and this is further affected by occupation, socioeconomic and religious practice.

Barriers and facilitators to reducing low-value care for the management of low back pain in Iran: a qualitative multi-professional study.

INTRODUCTION: Low back pain (LBP) is a prevalent musculoskeletal disorder with a wide range of etiologies, ranging from self-limiting conditions to life-threatening diseases. Various modalities are available for the diagnosis and management of patients with LBP. However, many of these health services, known as low-value care (LVC), are unnecessary and impose undue financial costs on patients and health systems. The present study aimed to explore the perceptions of service providers regarding the facilitators and barriers to reducing LVC in the management of LBP in Iran. METHODS: This qualitative descriptive study interviewed a total of 20 participants, including neurosurgeons, physiatrists, orthopedists, and physiotherapists, who were selected through purposive and snowball sampling strategies. The collected data were analyzed using the thematic content analysis approach. RESULTS: Thirty-nine sub-themes, with 183 citations, were identified as barriers, and 31 sub-themes, with 120 citations, were defined as facilitators. Facilitators and barriers to reducing LVC for LBP, according to the interviewees, were categorized into five themes, including: (1) individual provider characteristics; (2) individual patient characteristics; (3) social context; (4) organizational context; and (5) economic and political context. The ten most commonly cited barriers included unrealistic tariffs, provider-induced demand, patient distrust, insufficient time allocation, a lack of insurance coverage, a lack of a comprehensive referral system, a lack of teamwork, cultural challenges, a lack of awareness, and defensive medicine. Barriers such as adherence to clinical guidelines, improving the referral system, improving the cultural status of patients, and facilitators such as strengthening teamwork, developing an appropriate provider-patient relationship, improving the cultural status of the public, motivating the patients, considering an individualized approach, establishing a desirable payment mechanism, and raising the medical tariffs were most repeatedly stated by participants. CONCLUSION: This study has pointed out a great number of barriers and facilitators that shape the provision of LVC in the management of LBP in Iran. Therefore, it is essential for relevant stakeholders to consider these findings in order to de-implement LVC interventions in the process of LBP management.

Clinical evaluation of painful diabetes peripheral neuropathy in type 2 diabetes patients: Lessons from expatriates in the United Arab Emirates.

BACKGROUND: The high prevalence of Type 2 Diabetes (T2D) in the United Arab Emirates makes it imperative to screen and manage diabetes peripheral neuropathy (DPN) as a priority. Considering the high number of expats from different ethnicity a more thorough approach is necessary. Unfortunately, there are very few studies addressing this issue. METHODS: The study uses the chi-square test to investigate the dependence of the progression of DNP on ethnic origin. The study uses Pearson Correlation to find the association between three prevalent scales used for the measurement of painful diabetes peripheral neuropathy. Student t-test was used further to investigate the significance of the association. RESULTS: With a p-value (0.004) and p-value (0.015), the study concludes that DPN risk is dependent on the ethnic origin of the residents. The study further found that there is a significant association between three scales for measuring painful diabetes peripheral neuropathy (pDNP), Douleur Neuropathique en 4 questions (DN4), Neurological Symptoms Score (NSS), and Leeds Assessment of Neuropathic Symptoms and Signs (LANNS). The p-value for all pairwise comparisons for the strength of association between scales was found significant at the level of significance 0.05. CONCLUSION: The study concludes that the risk of DNP is high in Arab-origin residents in UAE and the reasons behind the finding need to be empirically tested to customize its management. The study further finds a significant association between the score of the three scales used for measuring pDNP.

What is holding back glucometer use? -A comparative study of rural and urban India.

BACKGROUND: Self-monitoring of blood glucose (SMBG) is associated with better glycemic control. There have been significant technological advances in blood glucose monitoring in the recent past, but the wider acceptance of these technologies is still debatable. AIM: This study investigates the adoption of glucometers and the extent of the use of features in rural and urban India. METHODS: The study uses Bass Model to predict the diffusion of innovation (DOI). Mathematical modeling was used to determine the stage of adoption (using 5-stage of DOI) and the Chi-Square test was used for examining the relationship between depth of implementation (extent of use) and place of residence. RESULTS: The result of the study suggests that glucometer diffusion of innovation has passed the initial hurdle (chasm) in the urban population and is in the late majority. However, for rural respondents, the adoption of glucometers has just passed the chasm and falls under the early majority stage. The diffusion of innovation of combined rural and urban populations has just entered the late majority zone in 2022. The study suggests that a significant number of people with diabetes are still not using a glucometer and discusses the socio-economic issue related to this phenomenon. The utilization of the potential of a glucometer in SMBG falls under the localized shallow implementation category (not using advanced features). CONCLUSIONS: The study suggests that the adoption of glucometer has just passed the initial hurdle in rural India, where two-thirds of the Indian population lives. Furthermore, the adoption of advanced glucometers is low among users.

Smartphone Apps for Diabetes Medication Adherence: Systematic Review.

BACKGROUND: Diabetes is one of the leading noncommunicable chronic diseases globally. In people with diabetes, blood glucose levels need to be monitored regularly and managed adequately through healthy lifestyles and medications. However, various factors contribute to poor medication adherence. Smartphone apps can improve medication adherence in people with diabetes, but it is not clear which app features are most beneficial. OBJECTIVE: This study aims to systematically review and evaluate high-quality apps for diabetes medication adherence, which are freely available to the public in Android and Apple app stores and present the technical features of the apps. METHODS: We systematically searched Apple App Store and Google Play for apps that assist in diabetes medication adherence, using predefined selection criteria. We assessed apps using the Mobile App Rating Scale (MARS) and calculated the mean app-specific score (MASS) by taking the average of app-specific scores on 6 dimensions, namely, awareness, knowledge, attitudes, intention to change, help-seeking, and behavior change rated on a 5-point scale (1=strongly disagree and 5=strongly agree). We used the mean of the app's performance on these 6 dimensions to calculate the MASS. Apps that achieved a total MASS mean quality score greater than 4 out of 5 were considered to be of high quality in our study. We formulated a task-technology fit matrix to evaluate the apps for diabetes medication adherence. RESULTS: We identified 8 high-quality apps (MASS score≥4) and presented the findings under 3 main categories: characteristics of the included apps, app features, and diabetes medication adherence. Our framework to evaluate smartphone apps in promoting diabetes medication adherence considered physiological factors influencing diabetes and app features. On evaluation, we observed that 25% of the apps promoted high adherence and another 25% of the apps promoted moderate adherence. Finally, we found that 50% of the apps provided low adherence to diabetes medication. CONCLUSIONS: Our findings show that almost half of the high-quality apps publicly available for free did not achieve high to moderate medication adherence. Our framework could have positive implications for the future design and development of apps for patients with diabetes. Additionally, apps need to be evaluated using a standardized framework, and only those promoting higher medication adherence should be prescribed for better health outcomes.

Planning and Selection of Facility Layout in Healthcare Services.

Facility layout planning (FLP) is an integral part of the hospital layout design. The purpose of this article is to develop and elaborate a FLP method for a diabetes clinic using a case study approach. In this study, the Systematic Layout Planning (SLP) approach was used to design three alternatives to diabetes clinic design using group decision making. A multi-criterion decision-making (MCDM) approach, fuzzy-Technique for an order of preference by similarity to an ideal solution (fuzzy-TOPSIS) was used to select the best among the alternatives. The method used for the calculation of weight for various selection criteria was modified digital logic (MDL). The study elaborates the method using a diabetes specialty clinic but can be used for solving more complex selection problems as well. The research is the first of its kind to address the problem of FLP in the case of a diabetes clinic. The method can be easily adapted for layout selection in other specialty and multispecialty hospitals.

Factors affecting the adoption of telemedicine during COVID-19.

Novel coronavirus disease (COVID-19) has put restriction of travel, and social distancing has become a new normal. This outbreak of the pandemic has made telemedicine more relevant than ever. The objective of this study is to identify the factors affecting the rate of adoption of telemedicine and effect of the COVID-19 on these factors. The research develops five hypotheses to test the influence of a disease outbreak on the rate of telemedicine adoption. The method used for the study is the Wilcoxon signed-rank test, and the sampling method used for the study is purposive sampling. The respondents were taken from a multispecialty clinic in North India and the sample size for the study is 43. The study concludes that patients are seeing more value in the use of telemedicine during COVID-19. They are more willing to experiment with telemedicine and are not intimidated by the technology related to telemedicine.

Supply chain partnership assessment of a diabetes clinic.

Purpose Diabetes is one of the major healthcare challenges in India. The chronic nature of the disease makes the lifetime cost of the treatment exorbitantly high. The medicine cost contributes a major size of expense in diabetes management. To make healthcare available to poorest of the poor, it is imperative to control the rising cost of diabetes treatment. The earlier research works done in this area focuses more on inventory management techniques to control the cost of healthcare. Less interest is shown in the role of better supply chain partnership (SCP) in reducing the cost of procurement of medicine. The purpose of this paper is to develop and use the SCP assessment framework for a diabetes clinic. The approach is generalized enough to be adopted for other similar organization. Design/methodology/approach This paper adopts self-assessment criteria of the European Foundation for Quality Management (EFQM) business excellence model for analysis of SCP in the supply chain of a private diabetes clinic in Varanasi. The paper uses analytic hierarchy process (AHP) method for calculation of weights of criteria. Findings The EFQM-based framework can be adopted as easy-to-use tool to make an objective assessment of the SCP. The proposed model in the study is a balanced model between enablers and results, which includes multiple assessment dimensions. The supply chain performance score of the diabetes clinic under study was found as the Tool Pusher, which means the effort in direction of SCP is not too good. The organization needs to clearly define the SCP goal and analyze the results to identify the gap areas. Originality/value The study is first of its kind and contributes to the literature by providing non-prescriptive and easy-to-use SCP assessment framework, for chronic disease care. The case study approach provides a procedure for the healthcare organization willing to adopt this approach.