Healthcare Value Research Articles

Health care utilization and costs among coordinated care patients in Southeastern Ontario: A difference-in-differences study of a double propensity score-matched cohort.

Coordinated care plans (CCPs) for high-cost health care system users aim to improve system-level performance. We evaluated health care resource use and costs among CCP patients (enrollees) versus a control group that did not receive coordinated care (comparators) in Southeastern Ontario. A difference-in-differences analysis of a quasi-experimental, double propensity score-matched and adjusted cohort was conducted. Linked population-based administrative data were used to measure health care utilization and costs and to identify comparators for two enrollee groups who began CCPs between April 1, 2013, and March 31, 2019. Enrollees were recruited from hospitals in Quinte or community care centres in Rural Hastings/Thousand Islands, and were 1:1 propensity score matched to comparators. Difference-in-differences estimates were calculated using generalized estimating equations for hospitalization rates, homecare visits, primary care visits, other health care resources and total costs. A total of 558 enrollees in Quinte and 538 in Rural Hastings/Thousand Islands were identified and matched to comparators. Difference-in-differences estimates were significant in both enrollee groups for number of homecare visits ([IRR 1.72; 95% CI (1.44, 2.06)] and [IRR 1.73; 95% CI (1.45, 2.06)], respectively). Number of primary care visits were 1.76 times greater for Rural Hastings/Thousand Islands enrollees versus comparators [IRR 1.76; 95% CI (1.32, 2.35)]; total costs increased by 23% ([IRR 1.23; 95% CI (1.09,1.39)]. Homecare use significantly increased for enrollees versus comparators, indicating specific priority areas of Ontario CCPs were met. However, no reductions were shown for other health system performance indicators. We also showed increased 7-day primary care follow-up visits for community care centre-recruited patients, but not for hospital-recruited patients. Decision-makers may wish to target patients who are less advanced in their chronic disease trajectory.

Exploring Reentry Concerns of Incarcerated Individuals with Severe Mental Illness.

Little is known about the factors and circumstances that relate to how incarcerated individuals with serious mental illness (SMI) view their own needs upon reentry and their ability to meet them. In this study, 101 imprisoned adults with SMI rated their level of concern over meeting their basic needs and obtaining services following incarceration. Greater reentry concern was predicted by anticipated barriers to psychological care and increased psychological distress. When participants were asked what factors concerned them most, 51% identified housing, 41% financial concerns, and 39% obtaining services. The extent level of concern related to recidivism (rearrest during the 6-month follow-up post-release) was also examined; no significant relationship was observed. Findings align with prior research, suggesting that there should be less emphasis on convincing individuals of the value of mental health care and a greater focus on how to help them meet other demands that may prevent them from seeking such services.

Alignment of Audiologists' Values With Best-Practice Standards: Insights From a National Survey.

Previous research documented the values of audiology through a qualitative content analysis of documents representing traditional, best-practice hearing health care. The primary objective of this study was to validate the existing list of audiology values. Through a nationwide survey, this study aimed to elicit the values of practicing audiologists, with a specific focus on the prescription and dispensing of amplification devices, to ensure a comprehensive understanding of their priorities. Additionally, this study sought to identify any values missing from the original list and determine the rank order importance of these values, comparing this to the prioritization of values found in best-practice audiology documents. This comparison aimed to assess the alignment of recommended guidelines and real-world practices in hearing health care. An online survey was distributed to audiologists to elicit the prioritization of values from hearing health care providers. Participants were tasked with sorting and ranking 18 items, each representing a specific value in hearing health care, based on importance. Respondents were encouraged to suggest and rank the importance of additional values not included in the list. Audiologists were recruited from professional association mailing lists and direct contact. Respondent demographics were representative of U.S. audiologists. Qualitative content analysis was used to interpret values suggested by audiologists. Kendall's rank distance test was used to compare values prioritization between audiologists and best-practice audiology documents. After filtering out incomplete or disqualifying responses, data from 289 audiologists across 46 states were analyzed. Additional values suggested by respondents aligned with existing values from best-practice documents; thus, no new values were added as a result of this study. A ranked list of values based on mean order of importance was elicited from U.S.-based audiologists. There was substantial agreement between survey results and the rank order of values found in best-practice audiology documents. A demographic subgroup analysis revealed a broad agreement among audiologists in the rank order of values. This study validated a comprehensive list of values in audiology and identified the rank order of values among a nationally representative sample of audiologists. The findings provide a foundation for future investigations into how these values influence decision-making processes for individuals with hearing difficulty. Addressing values conflicts as potential barriers to hearing health care usage can lead to solutions aligned with values of specific populations, ultimately improving the adoption and effectiveness of hearing health care interventions. https://doi.org/10.23641/asha.27478149.

What are the priorities of consumers and carers regarding measurement for evaluation in mental healthcare? Results from a Q-methodology study.

The purpose of this study was to identify and describe common views of people with lived experience of mental health challenges - consumers and carers, families and supporters - of what they consider the most important measures to include in health economic evaluations which assess the incremental value of competing options in mental health care. Participants (n = 111) were people living in the state of Victoria, Australia, who identified as consumers of mental healthcare (n = 38); carers, family members and/or supporters (n = 43); or both (n = 30). Factor analysis based on Q-Methodology was used to identify clusters of people who hold similar viewpoints. Common viewpoints were described in terms of the characteristics of the group, and a qualitative interpretation was conducted on the basis of distinguishing statements and quotes provided in participants' own words. We identified four common views: (1) safety before all else, prioritizing physical, sexual and psychological safety; (2) hope and partnership in processes of care; (3) physical and emotional health and wellbeing; and (4) care access, continuity and partnership with families. Although different priorities were identified for each viewpoint, key priority areas that were common to all views were having an environment in the health service that fosters respect and dignity, and that consumers feel heard and listened to. In sub-group and qualitative analyses, differences were observed regarding the likelihood of consumers and carers holding each of the views, as well as by age group. While some differences were noted between the views of consumers and carers and different age groups, there was also common ground regarding what outcomes are of most importance to measure. Including these measures in evaluation frameworks would provide a way of focussing mental healthcare decisions on the aspects of mental healthcare that are of most value to consumers and carers, thereby addressing an important shortcoming of current approaches to decision-making in mental healthcare.

Patient Health Record Protection Beyond the Health Insurance Portability and Accountability Act: Mixed Methods Study

Background The security and privacy of health care information are crucial for maintaining the societal value of health care as a public good. However, governance over electronic health care data has proven inefficient, despite robust enforcement efforts. Both federal (HIPAA [Health Insurance Portability and Accountability Act]) and state regulations, along with the ombudsman rule, have not effectively reduced the frequency or impact of data breaches in the US health care system. While legal frameworks have bolstered data security, recent years have seen a concerning increase in breach incidents. This paper investigates common breach types and proposes best practices derived from the data as potential solutions. Objective The primary aim of this study is to analyze health care and hospital breach data, comparing it against HIPAA compliance levels across states (spatial analysis) and the impact of the Omnibus Rule over time (temporal analysis). The goal is to establish guidelines for best practices in handling sensitive information within hospitals and clinical environments. Methods The study used data from the Department of Health and Human Services on reported breaches, assessing the severity and impact of each breach type. We then analyzed secondary data to examine whether HIPAA’s storage and retention rule amendments have influenced security and privacy incidents across all 50 states. Finally, we conducted a qualitative analysis of textual data from vulnerability and breach reports to identify actionable best practices for health care settings. Results Our findings indicate that hacking or IT incidents have the most significant impact on the number of individuals affected, highlighting this as a primary breach category. The overall difference-in-differences trend reveals no significant reduction in breach rates (P=.50), despite state-level regulations exceeding HIPAA requirements and the introduction of the ombudsman rule. This persistence in breach trends implies that even strengthened protections and additional guidelines have not effectively curbed the rising number of affected individuals. Through qualitative analysis, we identified 15 unique values and associated best practices from industry standards. Conclusions Combining quantitative and qualitative insights, we propose the “SecureSphere framework” to enhance data security in health care institutions. This framework presents key security values structured in concentric circles: core values at the center and peripheral values around them. The core values include employee management, policy, procedures, and IT management. Peripheral values encompass the remaining security attributes that support these core elements. This structured approach provides a comprehensive security strategy for protecting patient health information and is designed to help health care organizations develop sustainable practices for data security.

Assessing the contributions of gender, clinical symptoms, and psychometric traits to non-suicidal self-injury behaviors in Chinese adolescents: a nomogram approach.

Non-suicidal self-injury (NSSI) behaviors among adolescents with mood disorders represent a significant global public health concern. This study aimed to assess the prevalence and identify key predictors of NSSI behaviors in Chinese adolescents diagnosed with depressive or bipolar disorders, addressing a critical gap in the literature. Data from 2343 participants in the Chinese Adolescent Depression Cohort (CADC) were analyzed. The study employed a comprehensive approach, utilizing medical records, clinical assessments, and validated psychometric instruments. Statistical analyses included chi-square tests, logistic regression, and ROC curve analyses, culminating in the development of a predictive nomogram. The prevalence of NSSI behaviors was strikingly high at 73.32%. Significant predictors included female gender (AOR = 2.14, 95% CI [1.70, 2.68]), presence of hallucinations (AOR = 1.52, 95% CI [1.18, 1.97]), borderline personality features (AOR = 1.03, 95% CI [1.01, 1.08]), and childhood trauma (AOR = 1.02, 95% CI [1.01, 1.03]). The study's key contribution is a predictive nomogram with an AUC of 0.74, demonstrating good efficacy in predicting NSSI behaviors. This research reveals an alarmingly high prevalence of NSSI behaviors in Chinese adolescents with mood disorders and identifies critical predictors spanning demographic, clinical, and psychometric domains. The developed nomogram offers a novel approach for risk assessment, highlighting the importance of comprehensive evaluations in adolescent mental healthcare. These findings have significant implications for developing targeted interventions and improving risk assessment strategies in clinical practice.

The impact of a payer-provider joint venture on healthcare value.

To examine how a novel payer-provider joint venture (JV) between one payer and multiple competitive delivery systems in New Hampshire (NH), which included value-based payment, care management, and non-financial supports, impacted healthcare value and payer and provider group experiences. We conducted a mixed-methods study. We used a quasi-experimental longitudinal difference-in-differences design to examine the impact of the JV (which started in January 2016 and ended in December 2020) on healthcare utilization, quality, and spending, using members in Maine (ME) as a control group. We also analyzed patient uptake of the JV's care management program using routinely collected administrative data and assessed payer and provider group leaders' perspectives about the JV via semi-structured interviews. We used administrative and claims data from 2013 to 2019 in a commercially insured population under 65 years in NH and ME. We also used administrative data on care management eligibility and uptake and conducted semi-structured interviews with payer and provider group leaders affiliated with the JV. The JV was associated with no sustained change in medical utilization, quality, and spending throughout the study period. In the first year of the JV, there was a $142 (95% confidence interval: $41, $243) increase in pharmaceutical spending per member and a 13% (4.4%, 25%) relative increase in days covered for diabetes medications. Only 15% of eligible members engaged in care management, which was a key component of the JV's multi-pronged approach. In a disconnect from the empirical findings, payer and provider group leaders believed that the JV reduced healthcare costs and improved quality. Our findings provide evidence for future payer-provider JVs and demonstrate the importance of having a valid control group when evaluating JVs and value-based payment arrangements.

Healthcare Value Assessment: A Critical Review of Economic Outcome Metrics and Future Directions

This paper provides a critical review of economic outcome metrics used in healthcare value assessment, emphasizing the evolving landscape of resource allocation, patient-centered approaches, and standardization efforts. With healthcare costs rising globally, the efficient allocation of limited resources is essential. Metrics like Quality-Adjusted Life Years (QALYs), Disability-Adjusted Life Years (DALYs), Incremental Cost-Effectiveness Ratios (ICERs), and Cost-Benefit Analysis (CBA) are central to guiding funding decisions, influencing insurance coverage, and shaping treatment prioritization. Emerging trends, such as the integration of artificial intelligence (AI) and big data, are enhancing the precision of these assessments, while patient-centered metrics underscore the importance of patient satisfaction and quality of life. Additionally, there is a growing push for the standardization of these metrics to create consistent frameworks across diverse health systems. This paper explores case studies, practical applications, and future directions to provide insights into how healthcare systems can adopt more effective, globally aligned economic assessments.

Evaluating healthcare inequalities using ChatGPT4 – The case of potentially inappropriate medication

Abstract Issue/problem Regular and standardized monitoring of healthcare is necessary to inform decision makers and clinicians about healthcare quality. Equity is a fundamental dimension in such evaluations. We aimed to investigate if artificial intelligence (AI) large language models (LLM), such as ChatGPT4, may facilitate routine monitoring of healthcare inequalities using an established framework for healthcare quality and equity evaluation, analysis of individual heterogeneity and discriminatory accuracy (AIHDA). Description of the problem We have previously demonstrated that compared to traditional methods, AIHDA improves the evaluation of healthcare inequity. We asked ourselves if ChatGPT4 could facilitate the standardized application of the AIHDA approach in routine monitoring of healthcare. Results Using strict guidelines, we instructed a GPT model, based on ChatGPT 4, to utilize the AIHDA framework for evaluating healthcare inequalities. To demonstrate the analysis, we used the quality indicator potentially inappropriate medication among elderly and analyzed simulated data of individuals >75-year-old belonging to 36 socioeconomic strata and residing in 21 Swedish regions. The GPT performed an accurate analysis, correctly interpretated the results and formulated an informative short rapport with illustrative tables and figures. Lessons AI appears to facilitate routine monitoring of health care inequity using the AIHDA approach. AI also allows a constructive interaction with the user but, so far, it needs be closely supervised. Key messages • ChatGPT 4 can improve the standardized evaluation of healthcare inequity. • Although the technology is under development and must be used with caution.

The importance of healthcare monitoring systems

Abstract Issue Healthcare evaluation is an important tool of governance in the health sector that reinforces its key components: evidence-based care, effectiveness, programme standards, performance monitoring, quality improvement, risk and incident management and patient-centered care. One of the evaluation systems used by the Veneto Region (north italian region of about 4.8 million inhabitants) consists of the National Outcomes Programme (PNE) developed by the Italian National Agency for Regional Healthcare Services (AGENAS) on behalf of the Health Ministry. Description The PNE is an instrument used to measure, analyze, evaluate and monitor clinical and welfare assistance performances of Italian healthcare facilities. The Veneto Region, in particular, utilizes a regional epidemiologic service to periodically monitor 21 performance indicators based on “treemap” methodology. These indicators are used to assess processes, outcomes and volumes. The data used to monitor these practices derive from the hospital discharge documentation (SDO) and tax registry information system. The aim of this monitoring system is to track any critical situation that is not in alignment with national guidelines and to improve the efficacy, efficiency, appropriateness and safety within the healthcare system. Results In the Veneto region, over the course of nearly 10 years, this method of management has led to the development of various training courses that guide clinicians to correctly document and code different diagnosis and treatments. The treemap process of analysis has also made possible various clinical audits that have provided significant policy changes regarding risk and overall health management. Lessons Having a constant view of healthcare performance has proven to be helpful not only to identify some common gaps in care given from different facilities on a national level, but also guides different regions to develop specific strategies that lead to quality improvement. Key messages • Data on healthcare quality can be used as comparative information and for quality improvement. • Continuous monitoring of specific performance indicators can help identify difficulties in healthcare facilities and create strategies for long term solutions.

Hospital productivity and value in pay-for-performance healthcare programs

ABSTRACT Pay-for-performance (P4P) reimbursement models were launched in 2013 to incentivise the value of healthcare delivered by including quality outcomes, such as mortality, readmission, and patient satisfaction, in hospital reimbursement in the U.S. Although a decade has passed, the efficacy of these P4P programs remains unclear. This research intends to evaluate their long-term performance implications along two critical dimensions – productivity and healthcare value. Drawing on a nationwide sample of U.S. hospitals collected from 2008 to 2019, we utilise data envelopment analysis to measure hospital performance and the Malmquist index to evaluate their longitudinal trends. Although average hospital productivity and value improved since the rollout of the P4P programs, we observe that a large proportion of laggard hospitals were unable to catch up with improvements to the performance frontier, raising concerns about disparities in the impact of future value-based programs. Our analyses also indicate that horizontal integration across hospitals is associated with greater productivity and value. While greater physician-hospital (vertical) integration is associated with higher hospital productivity, it does not have a positive impact on value. Our study provides new insights into the antecedents and performance consequences of implementing value-based healthcare initiatives and their implications for hospital managers and policymakers.

Exploring bias risks in artificial intelligence and targeted medicines manufacturing

BackgroundThough artificial intelligence holds great value for healthcare, it may also amplify health inequalities through risks of bias. In this paper, we explore bias risks in targeted medicines manufacturing. Targeted medicines manufacturing refers to the act of making medicines targeted to individual patients or to subpopulations of patients within a general group, which can be achieved, for example, by means of cell and gene therapies. These manufacturing processes are increasingly reliant on digitalised systems which can be controlled by artificial intelligence algorithms. Whether and how bias might turn up in the process, however, is uncertain due to the novelty of the development.MethodsExamining stakeholder views across bioethics, precision medicine, and artificial intelligence, we document a range of opinions from eleven semi-structured interviews about the possibility of bias in AI-driven targeted therapies manufacturing.ResultFindings show that bias can emerge in upstream (research and development) and downstream (medicine production) processes when manufacturing targeted medicines. However, interviewees emphasized that downstream processes, particularly those not relying on patient or population data, may have lower bias risks. The study also identified a spectrum of bias meanings ranging from negative and ambivalent to positive and productive. Notably, some participants highlighted the potential for certain biases to have productive moral value in correcting health inequalities. This idea of “corrective bias” problematizes the conventional understanding of bias as primarily a negative concept defined by systematic error or unfair outcomes and suggests potential value in capitalizing on biases to help address health inequalities. Our analysis also indicates, however, that the concept of “corrective bias” requires further critical reflection before they can be used to this end.

Evaluation of Reporting Quality of Systematic Reviews on Health Economic Evaluation Studies Based on the CHEERS Statement: An Overview of Reviews.

Economic evaluations in healthcare are designed to inform decisions by the estimation of cost and effect trade-off of two or more interventions. We aimed to evaluate the standards of systematic reviews on health economic evaluation studies using the CHEERS (Consolidated Health Economic Evaluation Report Standards) tool. We searched the PubMed database with keywords CHEERS and its complete form in combination with keywords related to cost or economic evaluation without language and time limits until November 17, 2021. The CHEERS tool was then used to include systematic reviews. Overall, 32 systematic reviews, included 610 primary studies were included. Of the 32 included studies, only 1 study (3.1%) had poor quality, 5 studies (15.6%) had good quality, remaining studies had very good and excellent quality. Some studies still have problems in expressing the standards. The necessity of standards for reporting economic evaluation studies in the field of health is very serious, and Cheers is one of the most important tools.

Assessment of the Effect of Community-Based Health Insurance Scheme on Health-Related Outcomes in Ethiopia: A Systematic Review.

We aimed to review the effect of community-based health insurance on health-related outcomes in Ethiopia. A systematic review was undertaken utilizing a major relevant published literature review from September 2017 to June 15, 2023. PubMed, Scopus, Web of Science, Science Direct, Google Scholar, Semantic Scholar, EMBASE, ProQuest, Hinari, and the Cochrane Library were used to search for relevant literature. Moreover, the Prisma flow model was used to select eligible findings. Overall, 72% of the articles employed cross-sectional comparative study designs and procedures, and 36% of them employed samples ranging in size from 501 to 1000 participants. Furthermore, 76% were studied using descriptive statistics and logistic regression, whereas fewer utilized a random model, a probity model, or a correlation model. Similarly, 32% of the research used two-stage stratified sampling methods, and around 40% of the data revealed that the scheme increased healthcare utilization services. About 72 % of the reviewed study results showed that the scheme reduced catastrophic health expenditure and increases utilization of healthcare services. And the 20% reviewed studies stated that the CBHI boosts household satisfaction level. Moreover 12% of the reviewed studies stated that, CBHI increased QoL (quality of life). Most of the studies provide evidence of the positive effect of CBHI in Ethiopia. Mainly, its membership improved the utilization of health services and decreased the incidence of catastrophic health expenditures. Thus, all actors should cooperate to strengthen it to solve the effective attribute of the deprived value of health care and continuity of care delivery system related to the country's new policy.

Development of the Compassionate Technology Scale for Professionals (CTS-P): value driven evaluation of digital mental health interventions

BackgroundCompassion is an essential and beneficial value in mental healthcare. However, how digital mental health interventions influence compassion in treatment has not been systematically investigated, due to the lack of appropriate measurement instruments. To address this gap, we developed the Compassionate Technology Scale for Professionals (CTS-P), aimed at mental health professionals.MethodsWe used Q-methodology, a method that combines quantitative and qualitative analysis to explore shared viewpoints on a particular topic, to select and refine items. Participants were 15 professionals from different areas of mental healthcare. In individual sessions, while thinking aloud, they sorted 35 statements on relevance for evaluating technology use on compassion. The statements were based on a scientific conceptualization of compassion with five elements. The sorting task was followed by a short interview to explore participants’ associations with compassion and technology.ResultsWith by-person factor analysis, we found three different viewpoints among participants, all with eigenvalues > 1 and with a total explained variance of 63.02%. We selected prioritized items of each viewpoint and for each theoretical element of compassion, resulting in a full scale (15 items) and a short scale (3 items). Based on qualitative input from participants, the scale was adapted to clarify its focus and the wording of items. While thinking aloud, participants shared benefits and critical notes regarding technology and compassion.DiscussionTogether with key stakeholders, we developed the CTS-P. Most participants prioritized the potential of technology to obtain more information and be closer to their client in facilitating compassion. The main critical note participants had was that technology is not necessary to support compassion at the therapist’s experiential level. This emphasizes the need to further explore how mental health professionals and technology can complement each other in a system of compassionate care. Future research should explore the factor structure, validity, and reliability of the scale through psychometric validation.ConclusionsThe CTS-P can make the extent to which technology for mental healthcare influences elements of compassion measurable and comparable. The scale can prove useful for prioritizing the value of compassion in both the development and use of digital mental health interventions.

Surface-tension-directed gate functionalization in organic electrochemical transistor for wearable sweat lactate monitoring

Wearable sweat lactate detection holds significant potential for applications in healthcare and exercise performance evaluation. Organic electrochemical transistors (OECTs) is emerging as an efficient platform in wearable lactate sensing by integrating an electron transfer interface between the electrode and the bio-catalytic layer. In this study, we demonstrated a wearable OECT designed for dynamic lactate monitoring in sweat through a one-step deposition of gold nanoparticles (Au NPs) on the gate electrode. Utilizing the simple surface-tension-directed deposition strategy, this method ensures a uniform distribution of Au NPs with high catalytic activity, enabling rapid and sensitive lactate signal transition. Herein, the OECT device exhibits a linear detection range for sweat lactate from tens of micromolars to hundreds of millimolars (r² > 0.97), along with high selectivity and long-term stability in human sweat. Furthermore, we successfully employed this flexible OECT sensor for real-time lactate monitoring system during various physical activities, highlighting its potential for non-invasive evaluation of fatigue and exercise performance in athletes. This work provides an easy-to-use prototype for continuous physiological monitoring, enhancing personalized healthcare and training management.

Utilization and patient characteristics for the trastuzumab reference and biosimilars, and other human epidermal growth factor receptor 2 inhibitors in the United States.

Trastuzumab is an antihuman epidermal growth factor receptor 2 monoclonal antibody used to treat breast and other cancers. Trastuzumab biosimilars were approved in the United States beginning in 2017. Utilization information on these biosimilars is limited. To examine utilization patterns and characteristics of patients treated with trastuzumab (biosimilars and reference) and other human epidermal growth factor receptor 2 products. We evaluated health care claims data from the Biologics and Biosimilars Collective Intelligence Consortium distributed research network, representing a large, geographically diverse US population of commercially insured individuals. We queried 4 distributed research network health plan partners to capture product usage data and patient information from October 1, 2016, to October 31, 2022. Patients were required to be continuously enrolled in their health plan for at least 365 days before their first observed trastuzumab utilization date in this study period. Data were aggregated across data partners. More than 16 million eligible health plan members representing more than 31 million person-years of data were evaluated. We identified 5,984 incident treatment episodes; 3,878 (64.8%) episodes were with the reference trastuzumab. The mean ages were consistent across trastuzumab products (60.2 to 65.1 years) and at least 80% of the episodes were among female patients. The mean comorbidity index score was 1.2 (SD = 1.9) among users of the reference vs the biosimilars (range 1.2-2.5). Other clinical characteristics (eg, diabetes, hypertension) were comparable across products. The proportion of total incident episodes of the reference trastuzumab decreased substantially over time (96% in 2016 vs 28% in 2021) as utilization of the biosimilars increased (eg, use of trastuzumab-anns increased from 2% [2019] to 36% [2021]). Similar utilization trends were seen among patients with and without metastatic breast cancer. Trastuzumab biosimilars utilization has grown since their introduction to the US market. Exploration of these biosimilars' comparative effectiveness and safety to their reference product is warranted.

Public value in health policy: an approach for exploring the value of healthcare for patients and the wider public

Public value in health policy: an approach for exploring the value of healthcare for patients and the wider public

Nanoscale Synergy: Unveiling Gas Sensing Paradigms Through First Principles Exploration of Vertical Hexagonal Boron Nitride/Graphene Heterostructures

Modern civilization relies on rapid and accurate gas molecule identification at low concentrations for environmental surveillance, civilian security, healthcare evaluation, and inside atmospheric control. Density functional theory simulations are used to study the adsorption of CH4, CO2, PH3, N2O, NH3, O3, and SO2 gas molecules on a vertical hexagonal boron nitride/graphene heterostructure using the CASTEP code. Negative adsorption energy is only detected for NH3, O3, and SO2 gases. Our adsorption energy measurements show that the heterostructure is sensitive to NH3, O3, and SO2 gas molecules but insensitive to other gas molecules, as shown by the positive results. Further electrical and optical properties are only performed on gas‐adsorbed structures. It is found that the pure heterostructure acts like a semiconductor and has a band gap of 1.742 eV, which changes when gas is absorbed. Each of the structures has high absorption coefficients in the UV region, making them promising candidates for optoelectronic devices. The determination of the adsorbed gas type can be achieved by measuring the peak intensity and peak position of reflection or absorption. Heterostructures exhibit superior sensing capabilities for NH3 compared to other gases because of their enhanced adsorption energy, distinctive electrical band gap, and notable optical characteristics.

Measuring and improving the cradle-to-grave environmental performance of urological procedures.

An urgent need for societal transformation exists to reduce the environmental impact of humanity, because environmental healthaffects human health. Health care causes ~5% of global greenhouse gas emissions and other substantial and ongoing environmental harms. Thus, health-care professionals and managers must lead ongoing efforts to improve the environmental performance of health systems. Life-cycle assessment (LCA) is a methodology that enables estimation of environmental impacts of products and processes. It models environmental effects from 'cradle' (raw material extraction) to 'grave' (end of useful life) and conventionally reports a range of different impact categories. LCA is a valuable tool when used appropriately. Maximizing its utility requires rational assumptions alongside careful consideration of system boundaries and data sources. Well-executed LCAs are detailed and transparently reported, enabling findings to be adapted or generalized to different settings. Attention should be given to modelling mitigation solutions in LCAs. This important step can guide health-care systems towards new and innovative solutions that embed progress towards international climate agreements. Many urological conditions are common, recurrent or chronic, requiring resource-intensive management with large associated environmental impacts. LCAs in urology have predominantly focussed on greenhouse gas emissions and have enabled identification of modifiable 'hotspots' including electricityuse, travel, single-use items, irrigation, reprocessing and waste incineration. However, the methodological and reporting quality of published urology LCAs generally requires improvement and standardization. Health-care evaluation and commissioning frameworks that value LCA findings alongside clinical outcomes and cost could accelerate sustainable innovations. Rapid implementation strategies for known environmentally sustainable solutions are also needed.