Quality Measures Research Articles

Mindfulness improves psychological health and supports health behaviour cognitions: Evidence from a pragmatic RCT of a digital mindfulness-based intervention.

Mindfulness-based interventions can improve psychological health; yet the mechanisms of change are underexplored. This pre-registered remote RCT evaluated a freely accessible digital mindfulness programme aiming to improve well-being, mental health and sleep quality. Health behaviour cognitions were explored as possible mediators. Participants from 91 countries (N = 1247, Mage = 27.03 [9.04]) were randomized to 30 days of mindfulness practice or attention-matched control condition. Measures of well-being, depression, anxiety, stress, sleep quality, barriers self-efficacy, self-regulation and behavioural predictors (e.g., attitudes and behavioural intentions) were taken at baseline, 1-month (post-intervention) and 2-months (follow-up). Linear regression examined intervention effects between and within groups. Longitudinal mediation analyses explored indirect effects through health behaviour cognitions. Three hundred participants completed post-intervention measures. Those receiving mindfulness training reported significantly better well-being (Mdifference = 2.34, 95%CIs .45-4.24, p = .016), lower depression (Mdifference = -1.47, 95%CIs -2.38 to -.56, p = .002) and anxiety symptoms (Mdifference = -.77, 95%CIs -1.51 to -.02, p = .045) than controls. Improvements in well-being and depression were maintained at follow-up. Intervention effects on primary outcomes were mediated by attitudes towards health maintenance and behavioural intentions. Mediating effects of attitudes remained when controlling for prior scores in models of depression and well-being. Digital, self-administered mindfulness practice for 30 days meaningfully improved psychological health, at least partially due to improved attitudes towards health behaviours and stronger behavioural intentions. This trial found that digital mindfulness is a promising and scalable well-being tool for the general population, and highlighted its role in supporting health behaviours.

Multidimensional measurements of long-term quality of life and recovery patterns of cervical cancer patients after treatment

Multidimensional measurements of long-term quality of life and recovery patterns of cervical cancer patients after treatment

Market Factors, Not Quality, Influence Reimbursement for Pancreaticoduodenectomy in an Era of Price Transparency.

The Centers for Medicare and Medicaid Services (CMS) price transparency rule tries to facilitate cost-conscious decision-making. For surgical services, such as pancreaticoduodenectomy (PD), factors mediating transparency and real-world reimbursement are not well described. The Leapfrog Survey was used to identify United States hospitals performing PD. Financial and operational data were obtained from Turquoise Health and CMS Cost Reports. Chi-square tests and modified Poisson regression evaluated associations with reimbursement disclosure. Two-part logistic and gamma regression models estimated effects of hospital factors on commercial, Medicare, and self-pay reimbursements for PD. Of 452 Leapfrog hospitals, 295 (65%) disclosed PD hospital or procedure reimbursements. Disclosing hospitals were larger (beds >200: 81.0% vs. 71.3%, p = 0.04), reported higher net margins (0.7% vs. -2.1%, p = 0.04), more likely for-profit (26.1% vs. 6.4%, p < 0.001), and teaching-affiliated (82.0% vs. 65.6%, p < 0.001). Nonprofit status conferred hospitalization reimbursement increases of $8683-$12,329, while moderate market concentration predicted savings up to $5066. Teaching affiliation conferred reimbursement increases of $4589-$16,393 for hospitalizations and $644 for procedures. Top Leapfrog volume ratings predicted an increase of up to $7795 for only Medicare hospitalization reimbursement. Nondisclosure of hospital and procedural reimbursements for PD remains a major issue. Transparency was noted in hospitals with higher margins, size, and academic affiliation. Factors associated with higher reimbursement were non-profit status, academic affiliation, and more equitable market share. Reimbursement inconsistently tracked with PD quality or volume measures. Policy changes may be required to incentivize reimbursement disclosure and translate transparency into increased value for patients.

Development of an older adult Nutrition Equity Index (NEI) and association with the Healthy Eating Index (HEI) in older Black and White U.S. adults

ObjectivesWe developed a novel measure for older U.S. adults called the Nutrition Equity Index (NEI), which includes functional ability. We compared both the NEI and food insufficiency with Healthy Eating Index (HEI) scores. DesignThe Health, Aging, and Body Composition Study is a prospective, longitudinal cohort of Medicare-eligible, community-dwelling Black and White men and women. SettingPittsburgh, PA and Memphis, TN. ParticipantsParticipants (N = 2468, aged 74.7 ± 2.9 years) had baseline (1997−98) and 1-year follow-up NEI data; and 1 year follow-up for food insufficiency, key covariates, and the HEI (diet quality measure) from a 108-item interviewer-administered food frequency questionnaire. MeasurementsFood insufficiency was defined from a modified validated question on ample food amount/variety from the U.S. Department of Agriculture. NEI was constructed from 8 questions in three subdomains: food insecurity (food insufficiency, hunger, anxiety about limited food, limited money for food), food access (groceries), and food acquisition (difficulty shopping, preparing meals, carrying groceries). Final NEI categories were low nutrition equity (0), moderate nutrition equity (1), and high nutrition equity (2). Multivariable linear regression compared both NEI and food insufficiency with HEI, adjusted for sociodemographic, lifestyle and comorbidity factors. ResultsOf participants, 13.5% had food insufficiency, 12.1% had low NEI, and 32.5% had moderate NEI. Participants with food insufficiency (vs. food sufficiency) or low NEI (vs. high NEI) were more likely to be Black and have < high school education (both p < 0.0001). In minimally adjusted models, food insufficiency was associated with 2.2 point lower HEI score (p = 0.001), low NEI with 2.6 point lower HEI score (p = 0.001), and moderate NEI with 1.0 point lower HEI score (p < 0.05). Adjusting for race attenuated NEI associations with HEI to non-significance. After multivariable adjustment, food insufficiency was associated with 1.5 point lower HEI score (p = 0.03). ConclusionFood insufficiency was associated with lower dietary quality in this sample of older Black and White U.S. adults. NEI performed similarly to food insufficiency for HEI associations prior to multivariable adjustment and identified more older adults with nutrition inequity, who may be at risk for poor health outcomes.

Analysis of a promising composite quality measure for management of advanced ovarian cancer: Is there a textbook outcome?

Analysis of a promising composite quality measure for management of advanced ovarian cancer: Is there a textbook outcome?

Analysis of Frozen Bakery Items Containing Trehalose and its Impact on Quantitative Quality Measures

The frozen dough market has been increasing annually since it reduces cost while ensuring the availability of fresh products. Ice crystal formation inside the dough decreases yeast functionality while thawing releases fluid inside the dough, both leading to an unacceptable product. Trehalose can enhance the viability of yeast cells and reduce ice crystals. Four concentrations of trehalose (0, 10, 20, and 30%) were investigated on the freeze-thaw quality of frozen dough. Samples were prepared, frozen, and thawed before testing for color, moisture, water activity, and texture. Trehalose had no significant impact on color, moisture, or water activity of any sample despite trends in moisture and water activity being present. However, increased trehalose showed decrease in peak load in biscuits and pizza crusts. Therefore, more research is needed but data shows that trehalose could act as an anti-staling agent by reducing crust hardness in frozen biscuits and pizza crusts.

Quality indicators of long-term care for older people in OECD countries; a rapid scoping review

Abstract Background The COVID-19 pandemic has exposed the vulnerability of older people living in long-term care facilities (LTCF), highlighting the urgent need for research on the quality of care for this group of the population. There is no universal definition for quality of care in LTCF, and yet, multiple tools and indicators have been developed to measure it. In this rapid scoping review, we aim to provide a comprehensive overview of the current knowledge on quality of care concepts and indicators for older people in LTCF in OECD countries. Methods This review follows the World Health Organization (WHO) guide for rapid reviews and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR) extension for scoping reviews, including protocol registration (https://doi.org/10.17605/OSF.IO/34B2S). The electronic bibliographic databases MEDLINE (PubMed), EMBASE, and CINAHL were searched in September 2023 for studies published between 2013 and 2023 for quality indicators in LTCF. Experts in quality of care in LTCF were contacted and consulted to retrieve sources of grey literature. Information on the definition or framework of quality of care, quality of care dimensions, measurement instruments, context and purpose of the measurement will be extracted. Results Of the 8,516 identified records, 6,449 were screened by title and abstract after removing duplicates. A total of 469 publications will be screened in full-text. Experts recommended 40 websites to be screened for quality indicators. The PRISMA flowchart diagram will be provided to describe the selection process. Conclusions This review aims to improve the quality of care for older people living in LTCF. Our results will identify which concepts and dimensions of care are currently being measured in OECD countries, whether they are backed by any definition and scientific framework of quality of care for older residents of LTCF, and whether there is consideration of closing gaps in quality measurement. Key messages • Quality of care is an understudied field in the context of long-term care facilities for older people. • In order to further improve quality in long-term care for older people, it is necessary to systematically review the current state of knowledge on quality concepts and indicators.

User technology for AI-supported objective measurement of Work-related Quality of Life (MI-LQ)

Abstract Background Understanding and enhancing job satisfaction is crucial for improving Work-Related Quality of Life (WrQoL) in today’s office work environments. Our work uses multimodal data collection and analysis techniques to objectively assess WrQoL, thus mitigating respondent bias and survey fatigue. Leveraging machine learning (ML) and automated methods measuring WrQoL presents a promising approach in public health research, particularly concerning stress-related health outcomes. Methods Through a systematic literature search of 9,242 publications to identify WrQoL indicators, we selected over 100 publications for data extraction. A base model, including workload, commute, overtime, valence, and arousal was formulated. To amass a wide data set, Objective measurement tools (computers, smartphones, and wearables) complemented by questionnaire data. This data will inform ML algorithms to predict individual WrQoL indicators. Developed as an input/output data platform, an app-prototype will objectively assess WrQoL, facilitating a field study with office workers to refine the model. A mobile app prototype serves as a user interface and data relay for WrQoL metric analysis. Results Our research develops instruments for measuring WrQoL using smartphones, wearables, and specialized trackers for heart rate variability (HRV) analysis, alongside a software prototype for keyboard and mouse tracking for workload assessment of valence and arousal. Fitness trackers with photoplethysmography functionality are favored for HRV assessment. Conclusions The systematic search identified influences on WrQoL, translated into measurable indicators in a base model. Leveraging user tech for assessment and a ML and mobile app framework, this approach facilitates objective WrQoL determination. By presenting the relationship between digital service use and WrQoL indicators, this methodology promises new insights, informing stress and burnout prevention strategies within public health initiatives. Key messages • Progressive approach: ML-driven WrQoL assessment offers promising avenues for stress prevention in workplace health research. • Methodological Advancement: The novel framework for WrQoL assessment using digital tools contributes to effective workplace health promotion strategies, with potential for tailored interventions.

Multi-vendor validation of automated left ventricular analysis from 3D echocardiography using artificial intelligence

Abstract Background Accurate echocardiographic assessment of left ventricular (LV) function is dependent on both image acquisition and analysis. Although 3D echocardiography (3DE) is increasingly recommended for volume quantification, manually derived volumes are limited by operator subjectivity, variable image quality, and the lengthy duration of analysis. Consequently, several automated approaches based on artificial intelligence (AI) have been proposed to segment the LV cavity from 3DE and have demonstrated better accuracy and reproducibility compared to human experts. While the utility of AI models in the clinic depends on their ability to generalise to different populations and ultrasound vendors, the external validation of developed models remains limited. Purpose This study evaluates the ability of an existing AI model trained using data from a single vendor to accurately estimate routine 3DE LV indices in an independent external dataset acquired using equipment from a different vendor. Methods A previously published and internally validated deep learning model for segmentation of the LV cavity and myocardium from 3DE was used to automatically derive LV indices including end-diastolic volume (EDV), end-systolic volume (ESV), LV mass, and ejection fraction (EF) [1]. A second independent dataset consisting of paired 3DE and CMR images from 65 marathon runners from a different centre (using equipment from a different vendor) was subsequently used for external validation. Images from both datasets were subjectively scored from 1 (poor) to 5 (excellent) as a measure of image quality. Agreement with CMR as the reference was assessed using a two-way mixed effects intraclass correlation coefficient (ICC), supplemented by Bland-Altman analysis, to determine the model bias (between 3DE and CMR) and 95% limits of agreement (LOA). To assess whether performance could be improved by inclusion of multi-vendor data during training, the initial model was fine-tuned using a small subset (n=9) of images from the second centre. Results The mean image quality score from the second dataset was 2.5 (± 1.1), which was significantly lower than the mean of 3.4 (± 1.0) from the first dataset. Despite vendor and image quality differences, the initial model produced good agreement with CMR in EDV, ESV, and LV mass but only poor agreement in EF (Fig 1). Fine tuning greatly improved agreement in EF with reduced bias and narrower 95% LOA (Fig 2). Conclusion With the addition of a small number of cases for fine-tuning, AI models for automated LV analysis can achieve good performance analysing 3DE images acquired from a different vendor and population. Advancing model generalisability through more sophisticated data augmentation strategies may enable truly vendor-agnostic automated LV analysis from 3DE.

Health behaviour and well-being in the Faroe Islands prior to and during the first COVID-19 lockdown

Abstract Detrimental effects on health and well-being were reported during the COVID-19-induced lockdown periods in several countries, but these associations have not been studied in small-scale island societies. This study aimed to examine the lockdown period’s impact on health behaviour, social media use and measures of well-being in the Faroe Islands. We used cross-sectional data from two extensive population-based surveys of public health conducted in November 2019, the pre-COVID survey (n = 2906), and 4-6 weeks into the first national lockdown, the lockdown survey (n = 1204). A larger proportion of participants in the lockdown vs. pre-COVID survey people reported high physical activity levels (42.1 vs 30.7% p &amp;lt; 0.001), while nutritional habits were rated worse and social media usage increased. Furthermore, the proportion displaying excellent/very good self-rated health was larger in the lockdown vs. pre-COVID survey (68.1 vs 62.0% p &amp;lt; 0.001), and the same pattern was observed for reporting good quality of life (85.7 vs 82.7% p &amp;lt; 0.05). These associations remained statistically significant in a logistic regression model after adjusting for characteristics for which varying impact of the pandemic has been shown. Indicators of health behaviour showed that larger proportions of participants kept active during the lockdown vs pre-COVID survey, and these differences were statistically significant for physical, mental, and spiritual activities (p &amp;lt; 0.001). On the other hand, similar stress levels in the pre-COVID/lockdown periods were observed, but stratified analysis showed that participants with a high-stress level displayed better self-rated health in the lockdown period compared to the pre-COVID period (p = 0.001). Conclusions Findings indicate that self-reported health and quality of life improved during the early phase of the COVID lockdown, and individuals reported higher activity levels associated with good mental health during the COVID-19-induced lockdown period. Key messages • Physical activity improved, but dietary habits worsened during initial COVID-19 lockdown in the Faroe Islands. • Measures of wellbeing and quality of life improved during initial COVID-19 lockdown in the Faroe Islands, while there was no overall difference regarding stress levels.

Association of keel bone morphometry with keel bone damage and skeletal quality in the laying hen

ABSTRACT 1. The aim of this work was to identify a heritable keel bone phenotype with a correlation to keel bone damage and/or skeletal bone strength that could be easily measured in the living hen to aid selection to prevent welfare issues. 2. The scoring system used reflected the observed damage, keel bone dimensions and shape compared to traditional measurements of bone quality. 3. Increased keel bone damage was associated with poor humerus and tibia breaking strengths (p < 0.01). Bone damage was associated with higher whole keel density (p < 0.01) due to the effect of callus formation. 4. Keel bone depth and area was moderately heritable at indices of 0.32 and 0.40, respectively. Keel bone depth was genetically correlated with tibia (0.36) and humerus density (0.68) and keel bone area was correlated with humerus density (0.59). Deeper keel bones and those with larger areas had small, negative phenotypic correlations with keel bone damage (−0.07 and −0.11, respectively). The second principal component of keel bone shape represented the caudal section of the keel bone and cranial edge concavity. The third principal component represented the differences in the caudal tip of the keel bone, the concavity of the dorsal edge and convexity of the ventral edge. Heritability estimates were 0.44 and 0.39, respectively. 5. The results suggested that genetics contribute to morphometric traits. Hens with poorer skeletal quality are likely to accumulate more damage. Some of the traits may be a predictor of damage, although mid keel depth or concavity may simply reflect the effect of damage or deviation.

Pediatric contrast-enhanced chest CT on a photon-counting detector CT: radiation dose and image quality compared to energy-integrated detector CT.

Photon counting detector (PCD) CT benefits from reduced noise compared with conventional energy-integrating detector (EID) CT, which should translate to improved image quality and reduced radiation exposure for pediatric patients undergoing chest CT with IV contrast. To determine the differences in radiation exposure and image quality of PCD CT and EID CT in pediatric chest CT with intravenous (IV) contrast. In this institutional review board-approved retrospective observational study, 20 scan pairs (20 PCD CT; 20 EID CT) for children who underwent chest CT with IV contrast on both a PCD CT (Siemens NAEOTOM Alpha) and an EID CT (Siemens SOMATOM Definition Edge or Force) within 12months were reviewed independently by three pediatric radiologists for three subjective quality features on 5-point Likert scales: overall quality, small structure delineation, and motion artifact. Objective measures of image quality (image noise, signal-to-noise ratio, and contrast-to-noise ratio) were assessed by a single radiologist in several locations in the chest through region of interest measurement of Hounsfield units (HU) and standard deviation. Patient-related and radiation exposure parameters were collected for each scan and summarized with median and interquartile range (IQR). The Wilcoxon rank-sum test was utilized to compare groups. A P < 0.05 indicated statistical significance. Inter-observer agreement of subjective image quality metrics was analyzed using weighted kappa. Age (14.2years vs 13.8years, P= 0.15), height (P= 0.13), weight (P= 0.21), and BMI (P = 0.24) did not significantly differ between groups. There were 10 male and 3 female patients. Compared to EID CT, PCD CT showed lower radiation exposure parameters including volumetric CT dose index, 1.7mGy (IQR 1.1-2.4mGy) vs 3.8mGy (IQR 2.0-4.7mGy) (P< 0.01), and size-specific dose estimate, 2.6mGy (IQR 1.8-3.1mGy) vs 5.0mGy (IQR 3.3-6.2mGy) (P< 0.01). Objective image quality of lung parenchyma was improved on the PCD CT scanner, including image noise 119.5 HU (IQR 95.4-135.7 HU) vs 143.1 HU (IQR 125.4-169.8 HU) (P < 0.01), signal-to-noise ratio (SNR) -6.1 (IQR -8.4 to -4.8) vs -4.9 (IQR -5.6 to -3.8) (P= 0.01), and contrast-to-noise ratio -63.9 (-84.1 to -57.5) vs -60.5 (-76.3 to -52.5) (P = 0.01). Motion artifact was improved on the PCD CT scanner (P< 0.01). No significant differences in overall image quality or small structure delineation were identified (P= 0.06 and P= 0.31). PCD CT pediatric chest CT had significantly reduced radiation exposure, improved image quality, and reduced motion artifact compared with EID CT.

Fear of recurrence and its association with mental health outcomes after spontaneous coronary artery dissection (SCAD)

Abstract Background Spontaneous coronary artery dissection (SCAD) is a rare cause of acute myocardial infarction, predominantly affecting younger women with few traditional cardiac risk factors. The condition is characterised by relatively high rates of recurrence. Recent qualitative studies demonstrate that SCAD survivors often experience fears about the future, particularly relating to SCAD recurrence and death. Research in psycho-oncology demonstrates that experiencing fear of cancer recurrence predicts worse outcomes for mental health and quality of life, an association that is also likely in cardiac patients. To date, no quantitative research has investigated fear of recurrence and its association with mental health in SCAD survivors. Purpose The aim of this study was to investigate the prevalence of fears relating to SCAD recurrence and the association of fear of recurrence with mental health outcomes. Methods 293 SCAD survivors completed an online questionnaire assessing the psychosocial impacts of SCAD. Participants rated whether they experienced these impacts ‘not at all’, ‘a small amount, ‘a moderate amount’ or ‘a large amount’ within the first six months of their SCAD. Items related to fears about the future, recurrence, and death were extracted for analysis. Participants also completed measures of anxiety (Generalised Anxiety Disorder-7), depression (Patient Health Questionnaire-9), distress (Cardiac Distress Inventory - Short Form), and mental health related quality of life (Short Form 12, mental health component). Results In the six months following their SCAD, 97.6% of survivors experienced some level of worry about having another SCAD, 95.6% were concerned about triggering another SCAD, 95.6% experienced fear of the future, and 82.6% experienced fear of dying. Reports of experiencing ‘a large amount’ of fear in these areas were 54.6%, 45.1%, 42.7%, and 30.4% respectively. The amount of worry reported about having another SCAD was significantly associated with increased levels of anxiety, depression, and cardiac distress, and reduced mental health quality of life. Conclusions Almost all SCAD survivors reported fears, worries, and concerns related to recurrence. Worry about SCAD recurrence was significantly associated with important mental health outcomes. Cardiac health professionals should monitor fears of recurrence in their patients, as a large amount of worry may be indicative of poor mental health, and referral to psychology services may be appropriate.Rates of fears of SCAD recurrence

One-year results from the REDUCER-I multi-center real-world clinical trial of the treatment of refractory angina with the coronary sinus Reducer

Abstract Background/Introduction Patients with refractory angina have chronic symptoms due to reversible ischemia which are inadequately controlled with optimal medical therapy or interventional treatments. These patients suffer from a poor quality of life and place a significant strain on the health care system due to their frequent rehospitalizations. The coronary sinus (CS) Reducer is a stainless-steel hour-glass shaped mesh stent that creates a focal narrowing in the lumen of the CS resulting in improved microvascular resistance and redistribution of myocardial blood flow. Purpose The COSIRA randomized controlled trial showed the Reducer is a safe and effective treatment for refractory angina with patients having significant improvements in Canadian Cardiovascular Society (CCS) class and other measures of quality of life. The REDUCER-I post-market study evaluated the long-term outcomes with the Reducer in a large and challenging ‘real-world’ cohort. Methods REDUCER-I is a multicenter, non-randomized study conducted across 26 medical centers in Europe. At one year, device effectiveness was assessed by improvement in CCS grade as compared to baseline and device safety was assessed by Major Adverse Cardiac Events (MACE). Secondary endpoints included six-minute walk tests, EQ-5D-5L tests, and Seattle Angina Questionnaires (SAQ). Subjects were followed at 30 days, 6 months, and annually through five years. Results The as-treated population includes a total of 371 patients who received a Reducer implant (78.7% (292/371) male, 47.2% (175/371) diabetic, 73.9% (274/371) post-revascularization). The one-year Kaplan-Meier overall MACE rate post-implant was 7.1% (95% CI [4.9, 10.4]). There were nine deaths within the first 365 days, one death was due to unknown causes and eight deaths were adjudicated to as not being device- or procedure-related. At 12 months, 70.0% (205/293) of patients improved by ≥1 CCS class. At baseline, 72.2% (232/363) of patients were CCS class III/IV and this proportion decreased to 18.1% (54/298) at 12 months (P&amp;lt;0.0001). The patients’ baseline six-minute walk distance was 327.5±116.1m which improved by a mean of 30.8±81.8m at 12 months (p&amp;lt;.0001). In the year prior to Reducer implant, 33.3% (88/264) of the patients had at least one visit to the emergency department compared to 11.7% (31/264) in the year after Reducer implant (p&amp;lt;.0001). The significant improvements in CCS class and SAQ-QoL were sustained through 3 years (Figure). Conclusion In this 12-month analysis of the REDUCER-I study, patients with refractory angina treated with the CS Reducer had low MACE rates and showed significant and sustained improvements in angina, QoL, functional capacity, and need for rehospitalization.

Overlapping markets and quality competition among community health centers.

To examine the response of community health center (CHC) quality to quality levels at neighboring CHCs in the presence of non-price competition. A quasi-experimental study of US community health centers. Outcome variables were indices that measured overall quality of CHC care. Using patient flow data, we constructed CHC-specific Hirschman-Herfindahl index (HHI) and competitors' composite quality measure. The plausibly exogenous change in characteristics of "competitors' competitors" was exploited to identify the relationship between competition and quality of care, using a generalized two-stage least square model with instrumental variables. Using the Health Center Program Uniform Data System (2014-2018), linked with American Community Survey and Medical Expenditure Panel Survey, we analyzed 1098 unique federally funded CHCs in 50 states and District of Columbia which had at least one neighboring CHC and had non-missing data for 2015-2018 (4226 CHC-years). Most of CHCs served populations in overlapping geographic markets, with median market concentration decreasing during the study period. A one-percent increase in competitors' quality was associated with a 0.71-percent increase in an index CHC's composite quality (p < 0.01), consisting of a 0.59-percent increase in chronic condition control rates (p < 0.01); a 0.68-percent increase in the screening and assessment rates (p < 0.01); and a 0.78-percent increase in medication management rates (p < 0.01). The association was stronger at CHCs serving a smaller proportion of uninsured patients. No significant quality reaction was observed at CHCs with a percentage of uninsured patients larger than the 75th percentile. We observed no significant associations between HHI and quality. Increasing competition does not harm quality of care at CHCs. A CHC appears to improve its quality if its competitors improved quality. The beneficial quality effect was less pronounced in CHCs providing a significant proportion of care to uninsured patients, suggesting lack of incentives faced by these CHCs.

The Oncology QCARD Initiative: Fostering efficient evaluation of initial real-world data proposals.

The oncology quality, characterization, and assessment of real-world data (Oncology QCARD) Initiative was formed to develop a set of minimum study design and data elements needed to evaluate the fitness of the real-world data (RWD) source(s) proposed in an initial study concept as part of early interaction with scientific reviewers. A multidisciplinary executive committee (EC) was established to guide the Oncology QCARD Initiative. The EC conducted a landscape review of published literature, guidances, and guidelines to evaluate relevant dimensions of data quality measurement. Guided by the review and informed by expert feedback, the Oncology QCARD Initial Protocol Characterization (IPC) provides a summary of minimum elements needed to adequately describe an initial clinical study concept that involves RWD and is intended to support decision-making. Fit-for-use data and fit-for-purpose design emerged as themes from the landscape analysis. Data that are fit-for-use are both relevant (sufficiently capturing exposure, outcomes, and covariates) and reliable (understanding data accrual and quality control and whether the data represent the underlying concepts they are intended to represent) to answer a specific research question. A fit-for-purpose design takes appropriate steps to ensure internal and external validity and allows for transparency in reporting. The QCARD-IPC focuses on high-level characteristics of RWD sources and study design domains including data temporality, population, medical product exposure, comparators, and covariates, endpoints, statistical analysis, and data quality assurance plans. Evaluation of studies including RWD requires understanding the data source, study design, and potential biases to preliminarily evaluate whether selected RWD are fit-for-use for the research question. The Oncology QCARD-IPC provides a structured, transparent approach to facilitate early review and enhanced communication between study sponsors and scientific reviewers of initial study proposals including RWD.

Quantum dot based Kitaev chains: Majorana quality measures and scaling with increasing chain length

Realizing Majorana bound states (MBSs) in short, well-controllable chains of coupled quantum dots sidesteps the problem of disorder but requires finetuning and does not give the true topological protection inherent to long chains. Here, we introduce a quality measure that is also applicable in the presence of strong electron-electron interactions and that quantifies the closeness to topological protection of finetuned MBSs in short quantum dot chains. We call this measure local distinguishability (LD) because it puts a bound to the degree an arbitrary local measurement can distinguish between two states. We study the LD for quantum dot chains of different length. The three-dot chain is studied in detail, and we find that it may not always be an improvement over the two-dot case, a fact that can be understood within an effective model derived from perturbation theory. For longer chains, the LD vanishes exponentially, signaling a transition to a topological phase with two ground states that cannot be distinguished by any local measurement. Published by the American Physical Society 2024

Efficacy and pharmacodynamics of herbal medicine in patients with metabolic phenotype of osteoarthritis

High prevalence of the metabolic phenotype of osteoarthritis (MPOA) and unsatisfactory methods of its treatment necessitate the development of novel therapeutic approaches for this phenotype of OA. Turmeric preparations have a wide range of biological activity; their use in patients with MPOA can be effective and reduce the drug burden. In the present paper, we review our own published research findings on the effectiveness and pharmacodynamics of turmeric preparations in patients with MPOA. In the two studies, we evaluated the effects of two curcumin-containing parapharmaceuticals: Epigenorm Antivir (EA) and Curcumin. Forty-one women with MFOA were included in both studies. Twenty-three patients received EA at a daily dose of 1000 mg for 12 weeks, and 18 patients received curcumin from Evalar at a dose of 1000 mg for 8 weeks. The endpoints for both studies were VAS pain, dysfunction and other symptoms of OA measured using the KOOS scale. After 12 weeks of EA treatment, there was a 2.5-fold decrease pain levels. The decrease in pain was associated with an improvement in the patient’s daily and sports activities and quality of life. These effect sizes were classified as moderate to large according to Cohen. No adverse events were observed during the period of taking EA. Clinical improvement was associated with a decrease in the content of MS individual components: low-density lipoprotein cholesterol and triglycerides. The treatment caused a decrease in the level of systemic inflammation, as evidenced by a decrease in the concentration of TNFα, histamine, IL-18, C-reactive protein, and neopterin. The concentrations of IL-10 and adiponectin increased after treatment. In another study, treatment with curcumin for 4 weeks had an analgesic effect, improved measures of function and quality of life. Clinical improvement was associated with the reductions in serum levels of a number of proinflammatory cytokines, C-reactive protein, and lipids. Thus, the results of the pilot studies evaluating efficacy, safety, and pharmacodynamics of parapharmaceuticals EA and Curcumin in patients with MFOA indicate pleiotropic effects of the interventions. The findings provide a rationale for conducting larger, controlled, blind, randomized clinical trials.

A qualitative interview study on quality of life and ageing experiences of autistic adults

Quality of life across the lifespan has been established as a key research priority by the autism community. Still relatively little is known about the quality of life and ageing experiences of older autistic adults. Most studies to date have used generic measures of quality of life which may not accurately capture the experiences of autistic people. The aim of this qualitative study was to understand how autistic adults experience and define quality of life as they age. We conducted semi-structured interviews with 16 autistic adults aged 40+ from the UK and Luxembourg. Using reflexive thematic analysis, we identified five themes that contribute to quality of life: (1) Diagnosis is pivotal, (2) Connection with others, (3) Autonomy over space and time, (4) ‘Paperwork of life’, (5) Vulnerability. This study identifies autism-specific aspects of quality of life and highlights ways in which ageing and autism intersect and impact quality of life.

Specialty-Based Ambulatory Quality Improvement Program: A Specialty-Specific Ambulatory Metric Project.

Healthcare is increasingly being delivered in the outpatient setting, but robust quality improvement programs and performance metrics are lacking in ambulatory care, particularly specialty-based ambulatory care. To promote quality improvement in ambulatory care, we developed an infrastructure to create specialty-specific quality measures and dashboards that could be used to display providers' performance across relevant measures to individual providers and institutional leaders. The products of this program include a governance and infrastructure for specialty-specific ambulatory quality metrics as well as two distinct dashboards for data display. One dashboard is provider-facing, displaying provider's performance on specialty-specific measures as compared to institutional standards. The second dashboard is a leadership dashboard that provides overall and provider-level information on performance across measures. The Specialty-based Ambulatory Quality program reflects a systematic, institutionally-supported quality improvement framework that can be applied across diverse ambulatory specialties. As next steps, we plan to evaluate the program's impact on provider performance across measures and expand this program to other specialties practicing in the outpatient setting.