Value-based Models Research Articles

Value Delivery Practices in the Thoughts of Miyazawa Kenji and Jiddu Krishnamurti: A Systematic Review from an Educational Perspective

The value delivery process engages with the collaboration process of trust, thinking, skills, communicating, relationships, and understanding self. As educated individuals, we are in this engagement process and question the current school education and understanding of childhood in children. The globally connected world where we live together in a material world where Happiness, compassion, and empathy are not reflected in the education system and the potential of a child is determined by grades and scores in exams, which is neglecting the part that drives our actions, the search for meaning and purpose of life. The lack of human values with the wave of technology and changing nature around us is alarming. Even in the age of modernization, we need to progress in being human. The basis of human life is childhood and the education that they gain. Unfortunately, the education presented these days lacks moral values. The paper attempts to systematically discuss value-based educational models and practices in India and Japan based on the philosophy of Miyazawa Kenji and Jiddu Krishnamurti. The systematic literature review is done using Google Scholar and Mendeley Reference Management. This study provides the framework of modeling and practices for a value education for policymakers, organizations, researchers, and individuals in the present and future. Therefore, the study of such type is evident from the theoretical clusters and current status of education. The findings of the study discuss the Development of the meaning of Educational Values, the Development of theories from different fields, discuss the development of value education, and the value perspectives of Miyazawa Kenji and Jiddu Krishnamurti. Krishnamuti’s insights on education reflect the right kind of education, which reflects questioning, attention, freedom, fearlessness, without competition, no comparison, and child-centered education, where both teacher and student are learners. Miyazawa Kenji's insights on education reflect resilience, risk-taking, understanding the actual talent, finding passion, love for the subject, finding ways in difficult situations, fearlessness, and helping the child grow while the teacher is the nurturer. Both philosophers focus on the affective domain and cognition; learning without values mechanically assists humans to think like machines when they are much beyond that. Therefore, understanding these value delivery practices is essential. Value delivery practices in these schools will help us understand the teaching-learning experiences and the collaboration of these affective, cognitive, and psychomotor skills. There is much learning in schools, but childhood innocence is missing.

Understanding the adoption intention of financial data retrieval services: An empirical analysis of my data.

This study empirically analyzed the variables affecting the adoption intention of a financial data retrieval service (i.e. My Data) through the convergence of the stimulus-organism-response (S-O-R) model, the value-based adoption model (VAM), and the unified theory of acceptance and use of technology (UTAUT1). This approach examined the causal relationships where the characteristics of My Data services (stimulus) influence users' perceived benefit and sacrifice (proposed by VAM), as well as performance expectancy, effort expectancy, social influence, and facilitating conditions (proposed by UTAUT1) (organism), which in turn impact adoption intention (response). The results indicate that the three sub-factors of My Data service characteristics-system quality, information quality, and service quality have significant effects on perceived benefit, perceived sacrifice, performance expectancy, effort expectancy, social influence, facilitating conditions, and adoption intention. These findings provide both theoretical and practical insights for the development, diffusion, and activation strategies of My Data, while simultaneously validating the convergence model's effectiveness.

Exploring Consumers' Repurchase Intentions on Fresh Food E-Commerce Platforms through the Integration of Value-Based Adoption and IS Success Models

Exploring Consumers' Repurchase Intentions on Fresh Food E-Commerce Platforms through the Integration of Value-Based Adoption and IS Success Models

From Acceptance to Dependence: Exploring Influences of Smart Healthcare on Continuous Use Intention of Mobile Health Services Among Older Adults with Chronic Illnesses in China.

With the acceleration of the aging process in China, chronic diseases have become one of the main health threats for older adults, creating significant pressure on society and the healthcare system. As information technology and artificial intelligence advance rapidly, smart health services have become readily accessible. However, utilization rates among the older adults, especially those with chronic illnesses, remain low, preventing them from fully benefiting from these advanced technologies. The value of mobile health (mHealth) services can only be realized through sustained use. Therefore, this study empirically investigates the continuous use intention of mHealth services from the perspective of older adults with chronic illnesses, integrating the Technology Acceptance Model (TAM) and Value-Based Adoption Model (VAM). A total of 372 questionnaires were collected from various cities in China, and data were analyzed using SPSS 24.0 and Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicate that perceived ease of use (β = 0.155, p = 0.004; β = 0.116, p = 0.027) and perceived usefulness (β = 0.175, p = 0.001; β = 0.151, p = 0.004) have a significant positive impact on attitude and perceived value. Perceived enjoyment significantly influences attitude (β = 0.147, p = 0.010), while perceived risk (β = -0.189, p < 0.001; β = -0.281, p < 0.001) and perceived cost (β = -0.155, p = 0.003; β = -0.130, p = 0.022) have a significant negative impact on attitude and perceived value. Both attitude (β = 0.357, p < 0.001) and perceived value (β = 0.314, p < 0.001) positively impact continuous intention. In total, only one of the twelve hypotheses was not supported. This study not only provides strong evidence for the effectiveness of the integrated TAM and VAM model in the mHealth field but also offers theoretical insights and practical recommendations for product optimization and promotion to mHealth service providers and designers.

Cross-National Findings of Factors Affecting the Acceptance of AI-Based Sustainable Fintech

This study utilized mixed (qualitative and quantitative) methods to discover the current research trends for AI in sustainable Fintech and to validate a research model through empirical analysis. The primary purpose of this research is to explore the factors influencing the acceptance of AI tools within the sustainable Fintech industry through a cross-national perspective, identifying key benefit and sacrifice dimensions, along with sustainability considerations, that affect users’ intentions to adopt AI tools. Drawing on a bibliometric keywords approach, we first conducted an overall review of academic literature using Web of Science and VOSviewer (version 1.6.17), covering areas related to AI applications in Fintech and sustainable Fintech practices. Additionally, for a cross-national study, this study built and validated a conceptual framework on the intention to use AI tools by selecting subjects from Republic of Korea and China. As core theoretical premises of the conceptual framework, the study drew on the Value-Based Adoption Model (VAM) and the Technology Acceptance Model (TAM). Furthermore, we extended the TAM to embrace sustainable dimensions (perceived responsibility and perceived transparency). Overall, the study concludes that AI not only improves Fintech efficiency but also significantly contributes to sustainable development, suggesting collaboration between experts in AI, finance, sustainability, and other relevant fields for more research on AI integration with sustainable Fintech management. This research contributes to existing literature by highlighting the synergistic benefits of combining AI and sustainable Fintech and offers practical insights for industry practitioners and policymakers.

The Effects of Adverse Events and Associated Costs on Value-Based Care for Metastatic Pancreatic Ductal Adenocarcinoma

Background: Rising oncology healthcare costs have led to value-based care reimbursement models that coordinate care and improve quality while reducing overall spending. These models are increasingly important for traditional Medicare and other payers. Objectives: To compare the incidence of adverse events (AEs), AE-associated excess costs, and total cost of care (TCOC) of 3 cohorts receiving first-line treatment for metastatic pancreatic ductal adenocarcinoma (mPDAC). Methods: We conducted a retrospective analysis of administrative claims data from 2018 to 2022 using the Medicare 100% Research Identifiable Files. We examined 3 cohorts receiving mPDAC treatment: FOLFIRINOX (FFX) (oxaliplatin, irinotecan, leucovorin, 5-FU bolus and infusion); modified FFX, (5-FU infusion only); and gemcitabine/nab-paclitaxel (gem/abrax). We compared the incidence of clinically significant AEs, TCOC, components of TCOC, and costs related to AEs/treatment toxicity. Results: Patient AE rates ranged from 6.2% to 51.7%. AEs occurred more frequently in patients receiving FFX with all 4 components. Patients receiving brand name gem/abrax had lower rates of febrile neutropenia (6.2%) and neutropenia (22.2%) than those receiving FFX with no 5-FU bolus (febrile neutropenia, 9.9%; neutropenia, 36.9%) and FFX with all 4 components (febrile neutropenia, 6.9%; neutropenia, 30.4%). Rates of most nonhematologic AEs were higher in patients receiving FFX with all 4 components, with diarrhea occurring in 28.3%, abdominal pain in 31.5%, and nausea/vomiting in 41.5% of patients. TCOC was lower in the gem/abrax cohort: $6505 vs FFX with no 5-FU bolus ($6995) and FFX with all 4 components ($7142) per administration. The development of any studied hematologic AE was associated with a mean excess cost of $5993 per administration, while the development of any studied nonhematological AE was associated with a mean per-administration excess cost of $3665. Discussion: Treatment decisions intended to minimize chemotherapy costs may lead to suboptimal decisions if the goal is to reduce TCOC. Our research suggests FFX is more costly than gem/abrax (TCOC per administration). Patients receiving gem/abrax were older and had higher baseline Charlson Comorbidity Index scores; however, other factors may be important in driving cost differences. Conclusions: Irrespective of drug cost, chemotherapy leading to a significant increase in AEs is associated with higher TCOC.

A standardized care pathway increases optimal dialysis starts.

To determine whether an intensive value-based care educational program that includes a standardized end-stage renal disease (ESRD) transition pathway would improve the number of optimal starts withinKidney Contracting Entities (KCEs). Retrospective cohort study. We recorded optimal starts, defined as the initiation of dialysis without a central venous catheter, and the initial modality type (hemodialysis vs peritoneal dialysis [PD]) in adult Medicare patients in a Comprehensive Kidney Care Contracting program. The setting was 4 KCEs within a single physician-lednephrology organization. Data were recorded each quarter(Q) during 2022. During Q1-Q2, patients and clinicians received formal instruction on the benefits of optimal starts. Starting in Q3, we implemented a standardized care pathway for patients at high risk for transition to ESRD. The proportion of optimal starts and the proportion of initialPD fromQ1-Q2vsQ3-Q4 were compared using the χ2 test. A total of 328 study-eligible patients initiated dialysis in 2022, including 166 (50.6%) in Q1-Q2. The proportion of optimal starts increased from 42.8% (71/166) in Q1-Q2 to 58.0% (94/162) in Q3-Q4 (P = .006). The proportion of PD starts increased from 18.7% (31/166) in Q1-Q2 to 28.4% (46/162)in Q3-Q4 (P = .038). Optimal starts are a key metric of success in value-based care models. We observed a significant increase in optimal starts and in the number of patients starting on PD after implementing a standardizedESRD transition pathway as part of an intensive value-based care educational program.

Dallas Nephrology Associates' journey to value-based care.

In 2016, Dallas Nephrology Associates recognized that the economic, humanistic, and societal burden of end-stage kidney disease was unsustainable and the fee-for-service model of reimbursement did not support a value-based care approach. We decided to be proactive by creating new workflows, education, and disease management so that patients could make well-informed choices, ultimately resulting in better outcomes. Our shift toward value-based care focused on patient engagement, education, integrated infrastructure, collaboration, and monitoring of metrics associated with improved outcomes. Our practice invested millions of dollars in a population health division, which includes nurse navigators and data analysts focused on managing chronic kidney disease (CKD), delaying progression, and promoting transplantation and home-based dialysis. This retrospective review demonstrates improved outcomes, lower costs, and increased quality of care. Performance metrics have consistently met or exceeded targets. Seventy-three percent of patients now experience an optimal planned start to dialysis. Preemptive transplantation referrals have increased from 7% in 2017 to 61% through June 2023. Referral of patients with stage 4 CKD to educational workshops increased from 38% to 68%, and medical nutrition therapy referrals increased from 23% to 67%. Although reimbursement challenges persist, our commitment to improving care and slowing CKD progression remains steadfast. We emphasize teamwork, robust analytics, and continuous improvement. Future initiatives include encouraging patients receiving in-center hemodialysis to convert to home-based dialysis, addressing behavioral health, and focusing on preventable complications in high-risk patients. By embracing value-based models, we have demonstrated that a patient-centered approach can lead to improved outcomes and value for payers.

Effects of Perceived Benefits, Value, and Relationships of Brands in an Online-to-Offline Context: Moderating Effect of ESG Activities

The objective of this study was to investigate how perceived benefits and risks affect perceived value, as well as to examine the relationship between perceived value, consumer–brand relationships, and loyalty. The study examines the moderating effects of environmental, social, and governance (ESG) performance on the abovementioned relationships by applying a value-based adoption model. An online survey was conducted with consumers who used a food-delivery-service platform, totaling 754 participants. The SPSS 27 statistical package and SmartPLS 4.0 were used to test the research hypotheses, as well as to verify the moderating effects. The results indicate that product quality and specialization have positive effects on perceived value; however, delivery convenience does not. The analysis also found that perceived risk factors associated with delivery-service platforms, specifically, delivery risk, delivery security, and product heterogeneity, have positive effects on perceived value. These results imply that perceived value is linked to consumer perceptions of perceived benefits or risks and is closely related to the formation of customer–brand relationships with delivery platform companies. In addition, it was found that consumer–brand relationships formed in this way act as a decisive factor in the formation of corporate brand loyalty. ESG activity was found to play an important role in moderating the relationship between product quality and specialization, which are factors regarding perceived benefits and value. The ESG performance of delivery-service platforms plays a moderating role in the relationship between perceived value, consumer–brand relationships, and brand loyalty. The results of this study contribute to the development of strategic guidelines for marketers seeking to establish delivery-service platforms.

Not All Costs Are Created Equal: What Are the Types of Costs and Why Do They Matter?

Value-based care models are healthcare economic frameworks that aim to prioritize and financially incentivize quality of care, provider performance, and patient experience. The focus on value-based care metrics will undoubtedly lead to a greater weight placed on economic analyses in arthroplasty. Authors of cost analyses in arthroplasty often use the term “cost” in ways that have vastly different underlying meanings. It is imperative that surgeons understand the different characteristics of cost data, where they come from, and how to interpret them. There are three types of costs: 1) costs to the healthcare providers; 2) costs to the payer; and 3) costs to society. In this review, we evaluate where each type of cost data comes from, what are the appropriate conclusions to be drawn from them, and examples of how they are used in the literature.

A deep dive into the factors affecting household solar photovoltaic adoption: An extended perspective of the value-based adoption model

Solar photovoltaic (PV) products have emerged as a promising solution to address environmental and green energy issues in light of increasing concerns about carbon emissions, environmental awareness, and renewable energy. This research uses the value-based adoption model (VAM) to examine how perceived benefits and sacrifices impact the adoption intention of PV technology. It additionally explores the role of familiarity with the service as a moderator and its impact on perceived harm risk, perceived value, and adoption intention. The results reveal that economic and environmental benefits significantly influence perceived value, while perceived financial and harm risks also play substantial roles in shaping perceived value. Moreover, the study shows a positive relationship between perceived value and the intention to adopt solar PV and also suggests that familiarity with solar services moderates the relationship between perceived harm risk and perceived value. These insights are valuable for policymakers and energy companies seeking to understand consumers’ perspectives better and increase their intentions to adopt PV technology.

Online Lifestyle Medicine Continuing Medical Education (CME) Course Completion Predicts Increases in Clinician Knowledge, Confidence, and Practice of Lifestyle Medicine.

Introduction: Despite growing evidence linking lifestyle changes to disease reversal, lifestyle medicine (LM) is not widely practiced. Lack of clinician training and knowledge is cited as a barrier to LM adoption. This study measures changes in LM knowledge, attitudes, confidence, and practice behaviors following completion of a 5.5-h, asynchronous, online continuing medical education (CME) course. Methods: Participants completed a pre- and post-course survey. A repeated-measures linear model tested changes in knowledge, confidence, interest, experience, and practice of LM, after adjusting for age, gender, race, ethnicity, clinical degree/licensure, and presence of a health system value-based care model. Results: Surveys from n = 2954 course participants were analyzed. Overall, statistically significant improvements were observed in self-reported knowledge (+.47 of points) and confidence (+.53 of points) of LM. Participants across the sample reported greater frequency (+.08 of 5 points) and reach (+.10 of 5 points) of LM with their patients (p<.0001 for both). Discussion: This study demonstrated that a brief, scalable, online CME course can improve LM knowledge, confidence, attitudes, and practice. Future research should examine long-term practice changes as well as differences in outcomes across types of healthcare professionals.

Optimal Utilization of Patient-Reported Outcome Measures (PROMs) in Total Joint Arthroplasty

» As healthcare systems shift to value-based models, patient-reported outcome measures (PROMs) are increasingly used to measure effectiveness, efficiency, and patient satisfaction.» PROMs provide valuable insights into treatment efficacy from the patient's perspective and are increasingly essential in value-based healthcare models.» A variety of both joint-specific PROMs (i.e., Hip dysfunction and Osteoarthritis Outcome Score for Joint Replacement [HOOS-JR]/Knee Injury and Osteoarthritis Outcome Score for Joint Replacement [KOOS-JR]) and general PROMs (i.e., Patient-Reported Outcomes Measurement Information System [PROMIS]) currently exist for utilization in TJA practices.» We recommend collection of the PROMIS score, the HOOS-JR/KOOS-JR, and either the University of California Los Angeles activity score or Forgotten Joint Score within 3 months preoperatively and at 1, 3, 6, and 12 months postoperatively, with final collection between 10 and 14 months.» Continued integration of PROM research and practice will enable orthopaedic surgeons to further improve patient outcomes and overall care in TJA.

Relative-Value Units in Arthroplasty: Past, Present, and Future

Relative value units (RVUs) were first introduced by the Omnibus Budget Reconciliation Act of 1989 to standardize physician compensation based on the effort, skill, and resources required for medical services. This methodology replaced the "usual, customary, and reasonable" standard, which reduced variability in payments across providers. RVUs are comprised of physician work, practice expenses, and malpractice costs. In arthroplasty, declining inflation-adjusted reimbursements for total hip and knee replacements are primarily due to a lack of inflation adjustments, rather than nominal decreases values of RVUs values or the Medicare Conversion Factor. While value-based care models like the Comprehensive Care for Joint Replacement initiative and the Merit-Based Incentive Payment System aim to link RVU-based payments with quality and cost metrics, compensation remains largely tied to fee-for-service models. Major challenges include inadequate compensation for revision arthroplasty and the administrative burden of RVU management. Despite its limitations, the RVU system has enhanced transparency in physician reimbursement, though improvements are needed to better align financial incentives with value-based care principles in orthopaedics.

Employees' Behavioral Intention to Adopt Facial Recognition Payment to Service Customers

Facial recognition payment (FRP) is a crucial technology for digital transformation among merchants. However, few studies have explored employees' adoption of FRP. This study combined the status quo bias theory and the value-based adoption model to investigate the critical factors affecting employees' behavioral intention of FRP, including switching benefits, job insecurity, colleague opinion, top management support, and inertia. The results show that switching benefits, job insecurity, colleague opinion, top management support, and inertia are essential factors that determine employees' behavioral intention of FRP. Surprisingly, the perceived customer value negatively moderates the relationship between perceived value and behavioral intention. Furthermore, the authors provide rigorous endogeneity tests for the research model. Overall, this study contributes to the status quo bias and value-based adoption model theories and literature in organizations' digital transformation and offers valuable insights to eliminate resistance and encourage the active use of FRP.

Exploring Consumers' Repurchase Intentions on Fresh Food E-Commerce Platforms through the Integration of Value-Based Adoption and IS Success Models

Exploring Consumers' Repurchase Intentions on Fresh Food E-Commerce Platforms through the Integration of Value-Based Adoption and IS Success Models

Reevaluating Value-Based Care in Telemedicine: Clinical Opportunities in the Postpandemic Era.

Telehealth during the COVID-19 pandemic became one of the main means for patients to access the health care system. Rules, regulations, and reimbursement policies were loosened, allowing for its expansion into the clinical arena. Since the end of the pandemic, virtual care models have expanded. With a larger emphasis on value-based care, there is a need to understand how telehealth can be utilized to increase value, improve access, enhance the patient experience, improve outcomes, and decrease health inequalities. The article explores the use of telehealth as it relates to a value-based care model, which includes the patient experience, quality of care (access and health equity), provider/clinical practice, and health system/financial. Recommendations for strengthening the use of telehealth to ensure value-based care are provided.

Value-based care as a solution to resolve the open debate on public healthcare outsourcing in Europe: What do the available data say?

Controversy surrounds the current debate regarding the effects of outsourcing health services, as recent studies claim that increased outsourcing leads to reduced costs at the expense of worse patient outcomes. The goal of the value-based model is to enable healthcare systems to create more value for patients, and evidence points to improvements in public health outcomes, patient experience, and health expenditure in systems incorporating components of value-based healthcare. Some emerging evidence indicates promising results for outsourced hospitals which follow a value-based model of healthcare delivery. Although additional future studies are still needed to confirm these benefits, value-based healthcare merits discussion as a new perspective on the public versus private management debate. In fact, we argue that outsourcing to value-based health providers could represent a valid alternative for public health management, encouraging greater competition within the healthcare sector while ensuring quality of care for both public and private sectors.

Psychological value theory: predicting health-seeking behavior from symptom perception.

We recruit Psychological Value Theory (PVT) to understand how symptom value influences health-seeking decisions. Estimates of the Psychological Value of relief from a particular symptom were previously collected and used to predict the speed of participants' decision and the choice they make in three discrete choice experiments. Experiment 1 presented participants with a scenario and asked them to identify which of two symptoms they would seek healthcare services to treat. For each participant on every trial, two randomly chosen symptoms were inserted into the scenario. Experiment 2 addressed how the Psychological Value of a group of symptoms is predicted from the individual symptoms. Experiment 2 replicated Experiment 1 using groups of two symptoms, and predicted choice based on three grouping functions. Experiment 3 replicated Experiment 2 using a yes/no task, whereby participants were asked if they would pursue a health care visit for a single set of symptoms. The results showed that PVT accurately predicted speed and choice in all three experiments. The Psychological Value of relief from a symptom was the primary driver of choice along with a response bias in favor of avoiding symptoms labeled "severe."Health-seeking decisions are well modeled by a general-purpose, value-based computational model (PVT), with the Psychological Value of relief from health symptoms as a primary driver of health-seeking behavior.

The future of personal electric mobility in emerging economies: A survey of e-moto users in Vietnam

Decarbonizing private transport is crucial in the highly polluted cities of low- and middle-income countries, such as Vietnam. In motorcycle-dominated megacities, this means gradually converting the conventional motorcycle fleet into e-motos. In this study set in Hanoi, we examined the factors that explain existing e-moto riders' attachment to this mode. For this purpose, we built a novel theoretical framework called VEMM (Values and Expectations in Mobility Model), which combines the constructs of the Expectation Confirmation Model (ECM) and the Value-Based Adoption Model (VBAM). Survey data collected from 481 e-moto users in Hanoi were analysed by applying a Partial Least Squares Structural Equation Model (PLS-SEM). We found that the enduring intention to use e-motos is positively related to perceived value, user satisfaction, and perceived usefulness. We controlled for riders' gender, age, education, and living area but only education was statistically significant. Overall, we found that the perceived value of e-motos owed more to the perceived benefits (usefulness, enjoyment, and eco-friendliness) than the perceived costs (risk, price, technicality, habit, and stigma) of this mode. Based on these findings, we recommend that manufacturers consider the critical role of values when designing and promoting e-motos.