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Background and objectivesPatient adherence to treatment is an important barrier to the implementation of evidence-based psychological treatments (EBPTs). There is a need for simple and deployable measures of patient adherence to treatment for use across EBPTs. The Treatment Adherence Rating Scale (TARS) was developed and validated in two samples.MethodsThis study includes two samples: adults with Major Depressive Disorder who received Cognitive Therapy for depression (Sample 1; N = 48, mean age = 44.27 years), and at-risk adolescents who received either the Transdiagnostic Sleep and Circadian Intervention or Psychoeducation (Sample 2; N = 176, mean age = 14.77 years). Factor structure of the TARS scores was examined via Exploratory Factor Analyses (EFA) in Sample 1 and Confirmatory Factor Analyses (CFA) in Sample 2. Internal consistency, predictive validity, and construct validity of the TARS scores were examined.ResultsResults from EFA in Sample 1 supported a one-factor model. Results from CFA in Sample 2 suggested that a two-factor model (i.e., agreement and compliance) fit better than a one-factor model. TARS scores from both samples demonstrated adequate predictive validity with primary clinical outcomes and construct validity with treatment expectations.LimitationsThe sample was small with two specific populations. Future research should focus on other patient populations, a larger population, and other EBPTs. Future research examining patient ratings of these items are needed for further validation of the TARS.ConclusionsPreliminary findings support the use of a two-factor model and highlight the potential utility of a simple measure of patient adherence to treatment across age and diagnostic groups.

Abstract Introduction: Chronic kidney disease (CKD) is related to high morbidity and mortality and loss of quality of life. Likewise, hyperparathyroidism is associated to progressive loss of renal function, with increased phosphate and decrease calcium levels, which induce the secretion of parathyroid hormone. Objectives: To translate into Portuguese (Brazil), culturally adapt and validate the questionnaire Parathyroid Symptoms Assessment (PAS), following reliability and validity criteria in patients with chronic kidney disease and hyperparathyroidism. Methods: Methodological and cross-sectional study, carried out at São Lucas Hospital/PUCRS, Porto Alegre, Brazil. The PAS questionnaire validation process followed protocols from previous studies. After translating into Portuguese, it was applied to 100 patients with secondary (SHPT) and tertiary or persistent (THPT) hyperparathyroidism. For PAS validation data, patients responded to the Short Form Health 36 (SF-36) questionnaire. Reliability criteria were evaluated using intraclass correlation coefficient (ICC) and Cronbach’s alpha (α-C). Validity was assessed by Spearman’s correlation coefficient between PAS and SF-36 values. Results: Participant’s mean age was 55.6 ± 15.6 years, 61% was male, and 68% was diagnosed with SHPT. Among 100 patients, 53% performed a PAS retest (ICC = 0.83). The internal reliability by α-C was 0.86. Negative correlations were observed between PAS questions and SF-36 physical and mental domains, which ranged from 0.3 to 0.7. Conclusion: The Brazilian version of the PAS questionnaire was found to be valid and reliable. The PAS questionnaire can be used to evaluate quality of life in Brazilian patients with hyperparathyroidism who speak Portuguese.

BACKGROUND AND OBJECTIVES: Digital and analogue algometry have been widely employed in clinical studies, but a recent investigation observed a systematic error between devices, which may hinder comparison of data from different studies. The objective of this study was to evaluate the reproducibility and reliability of analogue and digital algometers. METHODS: This was an observational transversal study involving 40 healthy adults. They had preserved cognitive capacity and no chronic or acute pain. Participants were submitted to pressure pain threshold (PPT) assessment by two different algometers, 15 minutes apart: a digital device (Wagner Pain Test FPX) and an analogue one (Wagner Force Dial). Data collection involved 2 evaluators and occurred once a week. The muscles evaluated were teres major, upper trapezius, elevator scapulae, supraspinatus, infraspinatus, pectoralis, middle gluteus, paraspinal and deltoid. RESULTS: Reliability between the measurements taken by the same evaluator (intra-rater reliability) or with the same device (inter-rater reliability) on different days was analyzed using the Intraclass Correlation Coefficient (ICC). When comparing the intra-rater reliability (evaluator 1, weeks 1 and 3), good or excellent reproducibility was observed in most of the sites, with both analogue and digital algometers, with statistical significance. The inter-device reliability (digital and analogue algometers) showed a significant and excellent correlation (r > 0.75) in all evaluated sites for both evaluators. The analysis of inter-rater reliability (2 different evaluators) for the digital algometer revealed good or excellent significant correlation in almost all sites, except for the left pectoralis major. For the analogue algometer, all evaluated sites exhibited good or excellent correlation with statistical significance. CONCLUSION: The data highlight that digital and analogue algometry have good intra-rater reliability (reproducibility), inter-device reliability and inter-rater reliability in a sample of healthy young individuals.

Background & Aim: The elderly population has increased in the last decades and they are often discriminated against in society due to their age. This study aimed to perform the cross-cultural and psychometric validation of the Fraboni Scale of Ageism in Peruvian nursing students. Methods & Materials: This is a cross-sectional methodological study, carried out in four universities in Peru in which 959 nursing students participated. For the adaptation process, the forward-backward method of the original English version into Spanish was used. For the content analysis, the study was carried out with the participation of specialist judges, while confirmatory factor analysis was used for the internal structure of the construct as invariance of measurement. Reliability was estimated by internal consistency for categorical items. Results: The total content validity estimated with CVI was 0.97. The internal structure of the construct was found to be appropriate for the respecified 20-item model (CFI and TLI=0.94, RMSEA=0.07, and SRMR=0.05). The 20-item bi-factor model presented excellent fit indices (CFI=0.96 and TLI=0.95, RMSEA=0.06 and SRMR=0.04), being the best model for construct validity. Measurement invariance by sex was confirmed for all four models (configural, metric, strong, and strict). The three-dimensional model (ω=0.93) as well as the bi-factor model (ωH=0.88) showed high reliability for the scale scores. Conclusion: This study demonstrates that the 20-item Peruvian version of the Fraboni Scale of Ageism shows validity and reliability for its scores. In addition, the scale score is invariant by sex.

Stress is a fundamental concept for many areas of animal research. In laboratory rodents, exposure to various stressors results in immediate and postponed behavioral changes that can be measured with standard tests. Less is known about how wild rodents that have not undergone domestication respond to stressors in laboratory settings. This study was aimed at evaluating behavioral responses to restraint stress in male and female wild-derived house mice (Mus musculus musculus). One week after the end of three daily restraint sessions, alterations in mouse behavior were assessed in two tests. In the open field test, stressed mice (n = 23) entered the unprotected central zone less frequently (P < 0.05) and showed increased duration of self-grooming (P < 0.05) compared to controls (n = 23), indicating elevated anxiety. In the forced swim test, most mice (44 out of 46) displayed episodes of behavioral despair, but the influence of stress was insignificant. To characterize baseline performance of wild-derived mice, their behavior was compared to that of a laboratory strain. As compared to C57BL/6 males (n = 10), M. m. musculus males (n = 14) showed significantly greater exploratory activity in the open field and longer latency of the first immobility episode in the forced swim test (P < 0.001). Overall, these findings confirm ecological validity of the widely used animal model of restraint stress and may serve as a basis for future studies.

Technology-enabled approaches to conducting 24-h dietary recalls (24HR) may reduce dietary assessment bottlenecks in low-resource settings. However, few studies have assessed their performance relative to conventional pen-and-paper interview (PAPI) approaches and none have validated performance against a benchmark (e.g. weighed food record (WFR)) in a low- and middle-income country (LMIC). This study assessed relative accuracy and cost-effectiveness of INDDEX24, a technology-enabled approach to conducting 24HR, compared with a PAPI approach and against an observer WFR. Women aged 18-49 years from northern Viet Nam (n 234) were randomly assigned to be interviewed using INDDEX24 or PAPI 24HR following a WFR. The two one-sided t test approach assessed the equivalence of each recall modality to the benchmark. Difference-in-differences analysis compared the recall-benchmark results across modalities. Cost per percentage point of accuracy for INDDEX24 and PAPI was derived from accuracy results and the cost to conduct the 24HR. The PAPI and INDDEX24 24HR were statistically equivalent to the WFR for all nutrients except vitamin A. INDDEX24 diverged significantly less than PAPI from the WFR for Fe (0·9 v. -1·3 mg) and PAPI diverged less for protein (-3·7 v. 7·9 g). At the individual level, 26 % of PAPI and 32 % of INDDEX24 respondents had energy intakes within +/- 10 % of the WFR. INDDEX24 cost $111 004 and the PAPI cost $120 483 (USD 2019), making INDDEX24 more cost-effective across most indicators. INDDEX24 was an accurate and cost-effective method for assessing dietary intake in the study context and represents a preferred alternative to PAPI 24HR in Viet Nam and other LMIC.

Body mass index is a widely used but poor predictor of adiposity in populations with excessive fat-free mass. Rigorous predictive models validated specifically in a nationally representative sample of the US population and that could be used for calibration purposes are needed. The objective of this study was to develop and validate prediction equations of body fat percentage obtained from Dual Energy X-ray Absorptiometry using body mass index (BMI) and socio-demographics. We used the National Health and Nutrition Examination Survey (NHANES) data from 5931 and 2340 adults aged 20 to 69 in 1999-2002 and 2003-2006, respectively. A supervised machine learning using ordinary least squares and a validation set approach were used to develop and select best models based on R2 and root mean square error. We compared our findings with other published models and utilized our best models to assess the amount of bias in the association between predicted body fat and elevated low-density lipoprotein (LDL). Three models included BMI, BMI2, age, gender, education, income, and interaction terms and produced R-squared values of 0.87 and yielded the smallest standard errors of estimation. The amount of bias in the association between predicted BF% and elevated LDL from our best model was -0.005. Our models provided strong predictive abilities and low bias compared to most published models. Its strengths rely on its simplicity and its ease of use in low-resource settings.

The small GTPase superfamily of proteins are crucial for numerous cellular processes, including early development. The roles of these proteins in osteogenic differentiation, however, remained poorly explored. In this study, we employed a high-throughput targeted proteomic method, relying on scheduled liquid chromatography-multiple-reaction monitoring (LC-MRM) coupled with synthetic stable isotope-labeled peptides, to interrogate systematically the temporal responses of the entire small GTPase proteome during the course of osteogenic differentiation of H9 human embryonic stem cells. Our results demonstrated that the method offers high quantification accuracy, reproducibility, and throughput. In addition, the quantification results revealed altered expression of a large number of small GTPases accompanied with osteogenic differentiation, especially those involved with autophagy. We also documented a previously unrecognized role of KRAS in osteogenesis, where it regulates the accumulation of extracellular matrix for mineralization through attenuating the activity of secreted matrix metalloproteinase 9 (MMP9). Together, this study represents a novel application of a state-of-the-art analytical method, i.e., targeted quantitative proteomics, for revealing the progressive reprogramming of the small GTPase proteome during osteogenic differentiation of human embryonic stem cells, and our results revealed KRAS as a new regulator for osteogenesis.

Over recent years, positive airway pressure (PAP) remote monitoring has transformed the management of OSA and produced a large amount of data. Accumulated PAP data provide valuable and objective information regarding patient treatment adherence and efficiency. However, the majority of studies that have analyzed longitudinal PAP remote monitoring have summarized data trajectories in static and simplistic metrics for PAP adherence and the residual apnea-hypopnea index by the use of mean or median values. The aims of this article are to suggest directions for improving data cleaning and processing and to address major concerns for the following data science applications: (1) conditions for residual apnea-hypopnea index reliability, (2) lack of standardization of indicators provided by different PAP models, (3) missing values, and (4) consideration of treatment interruptions. To allow fair comparison among studies and to avoid biases in computation, PAP data processing and management should be conducted rigorously with these points in mind. PAP remote monitoring data contain a wealth of information that currently is underused in the field of sleep research. Improving the quality and standardizing data handling could facilitate data sharing among specialists worldwide and enable artificial intelligence strategies to be applied in the field of sleep apnea.

BACKGROUND: Existing bladder-specific measures lack the ability to assess the full range of bladder health, from poor to optimal health. OBJECTIVE: This study aimed to report evidence of validity of the self-administered, multidimensional bladder health scales and function indices for research in adult women. STUDY DESIGN: A cross-sectional population-based validation study with random assignment to paper or electronic administration was conducted using national address-based probability sampling supplemented by purposive sampling of women with lower urinary tract symptoms in 7 clinical research centers. Construct validity of the bladder health scales and function indices was guided by a multitrait-multimethod approach using health and condition-specific questionnaires, bladder diaries, expert ratings of bladder health, and noninvasive bladder function testing. Internal dimensional validity was evaluated using factor analysis; internal reliability was assessed using paired t-tests and 2-way mixed-effects intraclass correlation coefficient models. Chi-square, Fisher exact, or t-tests were used for mode comparisons. Convergent validity was evaluated using Pearson correlations with the external construct measures, and known-group validity was established with comparison of women known and unknown to be symptomatic of urinary conditions. RESULTS: The sample included 1072 participants. Factor analysis identified 10 scales, with Cronbachs alpha ranging from 0.74 to 0.94. Intraclass correlation coefficients of scales ranged from 0.55 to 0.94. Convergent validity of the 10 scales and 6 indices ranged from 0.52 to 0.83. Known-group validity was confirmed for all scales and indices. Item distribution was similar by mode of administration. CONCLUSION: The paper and electronic forms of the bladder health scales and function indices are reliable and valid measures of bladder health for use in womens health research.

We developed the Life Course Sociodemographics and Neighborhood Questionnaire (LSNEQ) to query older adults about perceived neighborhood greenspaces across the life course (i.e., distance to park, number of neighborhood parks/playgrounds, and neighborhood greenness) and about characteristics hypothesized to confound or moderate/mediate greenspace-health associations. Six perceived life course indices are derived from the LSNEQ: neighborhood socioeconomic status, neighborhood walking/biking, urbanicity, neighborhood amenities, neighborhood park access, and neighborhood greenness. Older adults from St. Louis, Missouri, and Sacramento, California, completed the LSNEQ in 2020-2021. The indices demonstrated borderline acceptable to good internal consistency (alpha = 0.60-0.79) and good to excellent test-retest reliability (ICC = 0.71-0.96) and detected different patterns of park access and neighborhood greenness by racialized group and location. Individuals with index scores indicating more neighborhood walking/biking and greater presence of neighborhood amenities over their life course were more likely to report neighborhood-based walking in older age. Overall, the LSNEQ is a reliable instrument to assess perceptions of life course social determinants of health including neighborhood greenspaces.

Two probabilistic genotyping (PG) programs, STRMix™ and TrueAllele™, were used to assess the strength of the same item of DNA evidence in a federal criminal case, with strikingly different results. For STRMix, the reported likelihood ratio in favor of the non-contributor hypothesis was 24; for TrueAllele it ranged from 1.2 million to 16.7 million, depending on the reference population. This case report seeks to explain why the two programs produced different results and to consider what the difference tells us about the reliability and trustworthiness of these programs. It uses a locus-by-locus breakdown to trace the differing results to subtle differences in modeling parameters and methods, analytic thresholds, and mixture ratios, as well as TrueAllele's use of an ad hoc procedure for assigning LRs at some loci. These findings illustrate the extent to which PG analysis rests on a lattice of contestable assumptions, highlighting the importance of rigorous validation of PG programs using known-source test samples that closely replicate the characteristics of evidentiary samples. The article also points out misleading aspects of the way STRMix and TrueAllele results are routinely presented in reports and testimony and calls for clarification of forensic reporting standards to address those problems.

BACKGROUND: Case investigation and contact tracing (CI/CT) are important public health tools to interrupt COVID-19 transmission. Our study aims to understand how parents and school staff perceive COVID-19 CI/CT. METHODS: Using a mixed methods approach, we distributed a community survey and conducted 15 focus group discussions (FGDs) in English and Spanish between December 2020 and March 2021 with 20 parents and 22 staff from schools in San Diego County ZIP Codes with COVID-19 rates in the top quintile as of August 2020. RESULTS: One in 4 survey respondents reported that they would be reluctant to participate in CI/CT. FGDs revealed themes of mistrust in government authorities, overburdened institutions, unfamiliarity with CI/CT, and uncertainty about its reliability. School community members emphasized that parents trust schools to be involved in CI/CT efforts, but schools are overwhelmed with this added responsibility. CONCLUSIONS: Investing in schools as community hubs is necessary so they can become important partners in prevention and mitigation in public health.

BackgroundAflatoxins (AFs) are common feed contaminants and are one of the common causes of toxin-related pet food poisoning and recalls.ObjectiveCurrently, there are no validated methods for the detection and quantitation of AFs in biological matrices to diagnose AF exposure in live animals. Following a successful intra-laboratory method development to quantify AFB1 and AFM1 in animal urine by HPLC with fluorescence detection (HPLC-FLD), the present study was conducted to extensively evaluate the method performance in an unbiased manner using blinded samples.MethodsThe evaluation included two stages. First, the performance was verified in the method-originating laboratory in a single-laboratory blinded method test (BMT-S) trial followed by a multi-laboratory blinded method test (BMT-M) trial.ResultsIn both trials, accuracy, repeatability, and reproducibility were satisfactory confirming the relatively good ruggedness and robustness of the method and ensuring that it will perform as expected if used by other laboratories in the future.ConclusionsWe extensively evaluated the performance of a quantitative method to detect AFB1 and AFM1 in animal urine by HPLC-FLD by two different laboratories in two separate BMT-S and BMT-M trials. Both BMT results demonstrated the satisfactory accuracy and precision of the method. It is now available to be adopted by other diagnostic laboratories for purposes of diagnosing AF intoxication in animals.HighlightsA simple urine-based diagnostic test method using HPLC-FLD that originated in a single laboratory now has passed a multi-laboratory evaluation and is now available to be shared with other diagnostic laboratories for purposes of diagnosing AF intoxication in animals so better treatment can be rendered.

BackgroundThe new noninvasive Vitalstream (VS) continuous physiological monitor (Caretaker Medical LLC, Charlottesville, Virginia), allows continuous cardiac output by a low pump-inflated, finger cuff that pneumatically couples arterial pulsations via a pressure line to a pressure sensor for detection and analysis. Physiological data are communicated wirelessly to a tablet-based user interface via Bluetooth or Wi-Fi. We evaluated its performance against thermodilution cardiac output in patients undergoing cardiac surgery.MethodsWe compared the agreement between thermodilution cardiac output to that obtained by the continuous noninvasive system during cardiac surgery pre and post-cardiac bypass. Thermodilution cardiac output was performed routinely when clinically indicated by an iced saline cold injectate system. All comparisons between VS and TD/CCO data were post-processed. In order to match the VS CO readings to the averaged discrete TD bolus data, the averaged CO readings of the ten seconds of VS CO data points prior to a sequence of TD bolus injections was matched. Time alignment was based on the medical record time and the VS time-stamped data points. The accuracy against reference TD measurements was assessed via Bland-Altman analysis of the CO values and standard concordance analysis of the ΔCO values (with a 15% exclusion zone).ResultsAnalysis of the data compared the accuracy of the matched measurement pairs of VS and TD/CCO VS absolute CO values with and without initial calibration to the discrete TD CO values, as well as the trending ability, i.e., ΔCO values of the VS physiological monitor compared to those of the reference. The results were comparable with other non-invasive as well as invasive technologies and Bland-Altman analyses showed high agreement between devices in a diverse patient population. The results are significant regarding the goal of expanding access to effective, wireless and readily implemented fluid management monitoring tools to hospital sections previously not covered because of the limitations of traditional technologies.ConclusionThis study demonstrated that the agreement between the VS CO and TD CO was clinically acceptable with a percent error (PE) of 34.5 to 38% with and without external calibration. The threshold for an acceptable agreement between the VS and TD was considered to be below 40% which is below the threshold recommended by others.

Background/aimsTo assess and compare long-term reproducibility of optic nerve head (ONH) and macula optical coherence tomography angiography (OCTA) vascular parameters and optical coherence tomography (OCT) thickness parameters in stable primary open-angle glaucoma (POAG), glaucoma suspect and healthy eyes.MethodsEighty-eight eyes (15 healthy, 38 glaucoma suspect and 35 non-progressing POAG) of 68 subjects who had at least three visits within 1-1.5 years with OCTA and OCT imaging (Angiovue; Optovue, Fremont, California, USA) on the same day were included. A series of vascular and thickness parameters were measured including macular parafoveal vessel density (pfVD), ONH circumpapillary capillary density (cpCD), macular parafoveal ganglion cell complex (pfGCC) and ONH circumpapillary retinal nerve fibre layer (cpRNFL). A random effects analysis of variance model was used to estimate intraclass correlation (ICC) coefficients and long-term variability estimates.ResultsICC was lower for OCTA (pfVD 0.823 (95% CI 0.736 to 0.888) and cpCD 0.871 (0.818 to 0.912)) compared with OCT (pfGCC 0.995 (0.993 to 0.997) and cpRNFL 0.975 (0.964 to 0.984)). Within-subject test-retest SD was 1.17% and 1.22% for pfVD and cpCD, and 0.57 and 1.22 µm for pfGCC and cpRNFL. Older age and lower signal strength index were associated with decreasing long-term variability of vessel densities.ConclusionsOCTA-measured macula and ONH vascular parameters have good long-term reproducibility, supporting the use of this instrument for longitudinal analysis. OCTA long-term reproducibility is less than OCT-measured thickness reproducibility. This needs to be taken into consideration when serial OCTA images are evaluated for change.Trial registration numberNCT00221897.

BackgroundDue to the persistence of COVID-19, it remains important to measure and examine potential barriers to COVID-19 prevention and treatment to avert additional loss of life, particularly among stigmatized populations, such as people who inject drugs (PWID), who are at high risk for contracting and spreading SARS-CoV-2. We assessed the psychometrics of a novel COVID-19 response-related discrimination scale among PWID, and characterized associations between COVID-19 response-related discrimination, resilience to adversity, and endorsement of COVID-19 disinformation.MethodsWe assessed internal reliability, structural validity and construct validity of a 4-item COVID-19 response-related discrimination scale among PWID living in San Diego County, completing interviewer-administered surveys between October 2020 and September 2021. Using negative binomial regression, we assessed the relationship between COVID-19 response-related discrimination and disinformation and the potential moderating role of resilience.ResultsOf 381 PWID, mean age was 42.6 years and the majority were male (75.6 %) and Hispanic (61.9 %). The COVID-19 response-related discrimination scale had modest reliability (α = 0.66, ω = 0.66) as a single construct with acceptable construct validity (all p ≤ 0.05). Among 216 PWID who completed supplemental surveys, a significant association between COVID-19 response-related discrimination and COVID-19 disinformation was observed, which was moderated by resilience (p = 0.044). Specifically, among PWID with high levels of resilience, endorsement of COVID-19 disinformation significantly increased as exposure to COVID-19 response-related discrimination increased (p = 0.011).ConclusionsThese findings suggest that intervening on COVID-19 response-related discrimination may offset the negative outcomes associated with COVID-19 disinformation.

ObjectivesAdverse childhood experiences (ACEs) are associated with mental health issues and substance use. Having a substance use disorder increases the risk of overdose (OD). Research on ACEs and risk of OD is limited. This study examined the relationship between ACE scores and a self-reported history of OD among patients in an addiction and mental health outpatient setting.MethodsThis single-center, cross-sectional design included adults in a dual-diagnosis addiction and mental health outpatient recovery and treatment program from November 2017 to August 2020. Patients (N = 115) were assessed with self-report questionnaires, which included ACEs and history of OD. Bivariate and multivariable logistic regression was used to determine factors associated with self-reported OD history. We assessed the reliability and validity of the ACEs scale.ResultsOf the 115 participants, 26 (22.6%) reported a past OD at intake. The mean ACE score for participants with an OD history, as compared with those with no history of OD, was 4.0 (standard deviation, 2.7) vs 2.3 (standard deviation, 2.2). In the multivariable regression, a higher ACE score was associated with history of OD (adjusted odds ratio, 1.23; 95% confidence interval, 1.00-1.50; P = 0.0456).ConclusionsGiven the observed association between OD and higher ACE scores, patients presenting for treatment in outpatient dual-diagnosis clinics should be screened for ACEs and OD history, providing the opportunity for treatment with trauma-informed care and/or referral to appropriate services.

ObjectiveThe Trans Woman Voice Questionnaire (TWVQ) is commonly used to quantify self-perceptions of voice for trans women seeking gender-affirming voice care, but the interpretation of TWVQ scores remains challenging. The objective of this study was to use item-response theory (IRT) to evaluate the relationship between TWVQ items and persons on a common scale and identify improvements to increase the meaningfulness of TWVQ scores.MethodsA retrospective review of TWVQ scores from trans women patients between 2018-2020 was performed. Rasch-family models were used to generate item-person maps positioning respondent location and item difficulty estimates on a logit scale, which was then converted into a scaled score using linear transformations.ResultsTWVQ responses from 86 patients were analyzed. Initial item-person maps demonstrated that the middle response categories ("sometimes" and "often") performed inconsistently across items (poor threshold banding); interpretability improved when these ratings were scored as one category. The models were rerun using revised scoring, which retained high reliability (0.93) and supported a unidimensional construct. Updated item-person maps revealed four scaled score zones (≤54, >54 to ≤101, >101 to ≤140, and >140) that each corresponded to an increasing pattern of item thresholds (probability of selecting one response category vs. others). These ranges can be interpreted as minimal, low, moderate, and high, respectively.ConclusionsEmpiric data from Rasch analysis supports new interval scoring for the TWVQ that advances the clinical and research utility of the instrument and lays the foundation for future improvements in clinical care and outcomes assessment.Level of evidenceNA Laryngoscope, 133:1197-1204, 2023.

BackgroundPatient agency in contraceptive decision-making is an essential component of reproductive autonomy.ObjectiveWe aimed to develop a psychometrically robust measure of patient contraceptive agency in the clinic visit, as a measure does not yet exist.DesignFor scale development, we generated and field tested 54 questionnaire items, grounded in qualitative research. We used item response theory-based methods to select and evaluate scale items for psychometric performance. We iteratively examined model fit, dimensionality, internal consistency, internal structure validity, and differential item functioning to arrive at a final scale.ParticipantsA racially/ethnically diverse sample of 338 individuals, aged 15-34 years, receiving contraceptive care across nine California clinics in 2019-2020.Main measuresContraceptive Agency Scale (CAS) of patient agency in preventive care.Key resultsParticipants were 20.5 mean years, with 36% identifying as Latinx, 26% White, 20% Black, 10% Asian/Native Hawaiian/Pacific Islander. Scale items covered the domains of freedom from coercion, non-judgmental care, and active decision-making, and loaded on to a single factor, with a Cronbach's α of 0.80. Item responses fit a unidimensional partial credit item response model (weighted mean square statistic within 0.75-1.33 for each item), met criteria for internal structure validity, and showed no meaningful differential item functioning. Most participants expressed high agency in their contraceptive visit (mean score 9.6 out of 14). One-fifth, however, experienced low agency or coercion, with the provider wanting them to use a specific method or to make decisions for them. Agency scores were lowest among Asian/Native Hawaiian/Pacific Islander participants (adjusted coefficient: -1.5 [-2.9, -0.1] vs. White) and among those whose mothers had less than a high school education (adjusted coefficient; -2.1 [-3.3, -0.8] vs. college degree or more).ConclusionsThe Contraceptive Agency Scale can be used in research and clinical care to reinforce non-coercive service provision as a standard of care.

ObjectiveTo identify whether three types of cigarette pack designs, including three versions of graphic warning label (GWL) plain packs, one GWL absent and branding absent pack (blank) and the smoker's own GWL absent and branding present pack (US), elicit different valence, type and levels of affect.DesignUS daily smokers (n=324) were asked to handle each of the five pack types and 'think aloud' their reactions. To avoid a muted familiarity response, exposure to their own US pack followed exposure to at least one GWL plain pack. Reactions were scored on a reactivity scale (-3 to +3) and the text was coded for speech polarity (-1 to +1) and emotive word frequency.ResultsReactivity scores had excellent inter-rater reliability (agreement ≥86%; intraclass correlation coefficient ≥0.89) and were correlated with speech polarity (r=0.21-0.37, p

Artificial intelligence (AI) has been developed for echocardiography1-3, although it has not yet been tested with blinding and randomization. Here we designed a blinded, randomized non-inferiority clinical trial (ClinicalTrials.gov ID: NCT05140642; no outside funding) of AI versus sonographer initial assessment of left ventricular ejection fraction (LVEF) to evaluate the impact of AI in the interpretation workflow. The primary end point was the change in the LVEF between initial AI or sonographer assessment and final cardiologist assessment, evaluated by the proportion of studies with substantial change (more than 5% change). From 3,769 echocardiographic studies screened, 274 studies were excluded owing to poor image quality. The proportion of studies substantially changed was 16.8% in the AI group and 27.2% in the sonographer group (difference of -10.4%, 95% confidence interval: -13.2% to -7.7%, P

Gastrointestinal (GI) discomfort is a hallmark of most gut disorders and represents an important component of chronic visceral pain1. For the growing population afflicted by irritable bowel syndrome, GI hypersensitivity and pain persist long after tissue injury has resolved2. Irritable bowel syndrome also exhibits a strong sex bias, afflicting women three times more than men1. Here, we focus on enterochromaffin (EC) cells, which are rare excitable, serotonergic neuroendocrine cells in the gut epithelium3-5. EC cells detect and transduce noxious stimuli to nearby mucosal nerve endings3,6 but involvement of this signalling pathway in visceral pain and attendant sex differences has not been assessed. By enhancing or suppressing EC cell function in vivo, we show that these cells are sufficient to elicit hypersensitivity to gut distension and necessary for the sensitizing actions of isovalerate, a bacterial short-chain fatty acid associated with GI inflammation7,8. Remarkably, prolonged EC cell activation produced persistent visceral hypersensitivity, even in the absence of an instigating inflammatory episode. Furthermore, perturbing EC cell activity promoted anxiety-like behaviours which normalized after blockade of serotonergic signalling. Sex differences were noted across a range of paradigms, indicating that the EC cell-mucosal afferent circuit is tonically engaged in females. Our findings validate a critical role for EC cell-mucosal afferent signalling in acute and persistent GI pain, in addition to highlighting genetic models for studying visceral hypersensitivity and the sex bias of gut pain.

Synucleinopathies are a group of neurodegenerative diseases including Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). These diseases are characterized by the aggregation and deposition of α-synuclein (α-syn) in Lewy bodies (LBs) in PD and DLB or as glial cytoplasmic inclusions in MSA. In healthy brains, only ∼4% of α-syn is phosphorylated at Ser129 (pS129-α-syn), whereas >90% pS129-α-syn may be found in LBs, suggesting that pS129-α-syn could be a useful biomarker for synucleinopathies. However, a widely available, robust, sensitive, and reproducible method for measuring pS129-α-syn in biological fluids is currently missing. We used Meso Scale Discovery (MSD)'s electrochemiluminescence platform to create a new assay for sensitive detection of pS129-α-syn. We evaluated several combinations of capture and detection antibodies and used semisynthetic pS129-α-syn as a standard for the assay at a concentration range from 0.5 to 6.6 × 104 pg/mL. Using the antibody EP1536Y for capture and an anti-human α-syn antibody (MSD) for detection was the best combination in terms of assay sensitivity, specificity, and reproducibility. We tested the utility of the assay for the detection and quantification of pS129-α-syn in human cerebrospinal fluid, serum, plasma, saliva, and CNS-originating small extracellular vesicles, as well as in mouse brain lysates. Our data suggest that the assay can become a widely used method for detecting pS129-α-syn in biomedical studies including when only a limited volume of sample is available and high sensitivity is required, offering new opportunities for diagnostic biomarkers, monitoring disease progression, and quantifying outcome measures in clinical trials.

PURPOSE: To communicate with linguistically diverse patients, medical students and physicians often use their non-English-language skills. However, there is no standard protocol to determine whether those skills are adequate before patient care. This causes many physicians, institutions, educators, and learners to forgo non-English-language proficiency assessment altogether. The purpose of this study is to report on the development, refinement, and interrater reliability of the Physician Oral Language Observation Matrix (POLOM), a rater-based tool assessing 6 language skill categories observed during clinical interactions: comprehension, fluency/fluidity, vocabulary, pronunciation, grammar, and communication. This study focused on the use of the POLOM in Spanish interactions. METHOD: The authors adapted an existing language observation tool for use in clinical settings, creating the preliminary POLOM. Next, they iteratively refined the tool from April to July 2021 using videorecorded medical student-standardized patient encounters from a U.S.-based medical Spanish program. In each refinement iteration, 4 bilingual raters (2 physicians and 2 linguists) independently rated 3 to 6 encounters and convened to discuss ratings with the goals of improving instrument instructions, descriptors, and subsequent rater agreement. Using the final POLOM, raters independently rated 50 videos in rotating interdisciplinary pairs. Generalizability theory was applied to estimate reliability via interrater agreement (dependability) coefficients (range 0-1) for each POLOM category and the total score. RESULTS: POLOM total score dependability equaled 0.927 (single rater) and 0.962 (averaged across 2 raters). The highest mean score was observed for the comprehension category (4.15; range 1-5) while the lowest was for communication (3.01; range 1-5). CONCLUSIONS: Raters achieved a high level of agreement on POLOM assessments of students medical oral Spanish proficiency. The POLOM is the first assessment tool that provides examinees and instructors with both a holistic and detailed review of clinician non-English oral language skills as contextualized for patient care.

BACKGROUND: Digital pain assessment is advantageous and timely for healthcare priorities in Turkey. However, a multi-dimensional, tablet-based pain assessment tool is not available in the Turkish language. PURPOSE: To validate the Turkish-PAINReportIt® as a multi-dimensional measure of post-thoracotomy pain. METHODS: In the first of a two-phased study, 32 Turkish patients (mean age 47.8 ± 15.6 years, 72 % male) participated in individual cognitive interviews as they completed the tablet-based Turkish-PAINReportIt® once during the first four days post-thoracotomy, and 8 clinicians participated in a focus group discussion of implementation barriers. In the second phase, 80 Turkish patients (mean age 59.0 ± 12.7 years, 80 % male) completed the Turkish-PAINReportIt® preoperatively, on postoperative days 1-4, and at the two-week post-operative follow-up visit. RESULTS: Patients generally interpreted accurately the Turkish-PAINReportIt® instructions and items. We eliminated some items unnecessary for daily assessment based on focus-group suggestions. In the second study phase, pain scores (intensity, quality, pattern) were low pre-thoracotomy for lung cancer and high postoperatively high on day 1, decreasing on days 2, 3 and 4, and back down to pre-surgical levels at 2-weeks. Over time, pain intensity decreased from post-operative day 1 to post-operative day 4 (p

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with substantial clinical heterogeneity, especially in language and communication ability. There is a need for validated language outcome measures that show sensitivity to true change for this population. We used Natural Language Processing to analyze expressive language transcripts of 64 highly-verbal children and young adults (age: 6-23 years, mean 12.8 years; 78.1% male) with ASD to examine the validity across language sampling context and test-retest reliability of six previously validated Automated Language Measures (ALMs), including Mean Length of Utterance in Morphemes, Number of Distinct Word Roots, C-units per minute, unintelligible proportion, um rate, and repetition proportion. Three expressive language samples were collected at baseline and again 4 weeks later. These samples comprised interview tasks from the Autism Diagnostic Observation Schedule (ADOS-2) Modules 3 and 4, a conversation task, and a narration task. The influence of language sampling context on each ALM was estimated using either generalized linear mixed-effects models or generalized linear models, adjusted for age, sex, and IQ. The 4 weeks test-retest reliability was evaluated using Lin's Concordance Correlation Coefficient (CCC). The three different sampling contexts were associated with significantly (P

The Tucker-Lewis index (TLI; Tucker & Lewis, 1973), also known as the non-normed fit index (NNFI; Bentler & Bonett, 1980), is one of the numerous incremental fit indices widely used in linear mean and covariance structure modeling, particularly in exploratory factor analysis, tools popular in prevention research. It augments information provided by other indices such as the root-mean-square error of approximation (RMSEA). In this paper, we develop and examine an analogous index for categorical item level data modeled with item response theory (IRT). The proposed Tucker-Lewis index for IRT (TLIRT) is based on Maydeu-Olivares and Joes (2005) [Formula: see text] family of limited-information overall model fit statistics. The limited-information fit statistics have significantly better Chi-square approximation and power than traditional full-information Pearson or likelihood ratio statistics under realistic situations. Building on the incremental fit assessment principle, the TLIRT compares the fit of model under consideration along a spectrum of worst to best possible model fit scenarios. We examine the performance of the new index using simulated and empirical data. Results from a simulation study suggest that the new index behaves as theoretically expected, and it can offer additional insights about model fit not available from other sources. In addition, a more stringent cutoff value is perhaps needed than Hu and Bentlers (1999) traditional cutoff criterion with continuous variables. In the empirical data analysis, we use a data set from a measurement development project in support of cigarette smoking cessation research to illustrate the usefulness of the TLIRT. We noticed that had we only utilized the RMSEA index, we could have arrived at qualitatively different conclusions about model fit, depending on the choice of test statistics, an issue to which the TLIRT is relatively more immune.

DNA methylation (DNAm)-based cell mixture deconvolution (CMD) has become a quintessential part of epigenome-wide association studies where DNAm is profiled in heterogeneous tissue types. Despite being introduced over a decade ago, detection limits, which represent the smallest fraction of a cell type in a mixed biospecimen that can be reliably detected, have yet to be determined in the context of DNAm-based CMD. Moreover, there has been little attention given to approaches for quantifying the uncertainty associated with DNAm-based CMD. Here, analytical frameworks for determining both cell-specific limits of detection and quantification of uncertainty associated with DNAm-based CMD are described. This work may contribute to improved rigor, reproducibility and replicability of epigenome-wide association studies involving CMD.

PurposeTo extend the MR MultiTasking-based Multidimensional Assessment of Cardiovascular System (MT-MACS) technique with larger spatial coverage and water-fat separation for comprehensive aortocardiac assessment.MethodsMT-MACS adopts a low-rank tensor image model for 7D imaging, with three spatial dimensions for volumetric imaging, one cardiac motion dimension for cine imaging, one respiratory motion dimension for free-breathing imaging, one T2-prepared inversion recovery time dimension for multi-contrast assessment, and one T2*-decay time dimension for water-fat separation. Nine healthy subjects were recruited for the 3T study. Overall image quality was scored on bright-blood (BB), dark-blood (DB), and gray-blood (GB) contrasts using a 4-point scale (0-poor to 3-excellent) by two independent readers, and their interreader agreement was evaluated. Myocardial wall thickness and left ventricular ejection fraction (LVEF) were quantified on DB and BB contrasts, respectively. The agreement in these metrics between MT-MACS and conventional breath-held, electrocardiography-triggered 2D sequences were evaluated.ResultsMT-MACS provides both water-only and fat-only images with excellent image quality (average score = 3.725/3.780/3.835/3.890 for BB/DB/GB/fat-only images) and moderate to high interreader agreement (weighted Cohen's kappa value = 0.727/0.668/1.000/1.000 for BB/DB/GB/fat-only images). There were good to excellent agreements in myocardial wall thickness measurements (intraclass correlation coefficients [ICC] = 0.781/0.929/0.680/0.878 for left atria/left ventricle/right atria/right ventricle) and LVEF quantification (ICC = 0.716) between MT-MACS and 2D references. All measurements were within the literature range of healthy subjects.ConclusionThe refined MT-MACS technique provides multi-contrast, phase-resolved, and water-fat imaging of the aortocardiac systems and allows evaluation of anatomy and function. Clinical validation is warranted.

Radiologists today play a central role in making diagnostic decisions and labeling images for training and benchmarking artificial intelligence (AI) algorithms. A key concern is low inter-reader reliability (IRR) seen between experts when interpreting challenging cases. While team-based decisions are known to outperform individual decisions, inter-personal biases often creep up in group interactions which limit nondominant participants from expressing true opinions. To overcome the dual problems of low consensus and interpersonal bias, we explored a solution modeled on bee swarms. Two separate cohorts, three board-certified radiologists, (cohort 1), and five radiology residents (cohort 2) collaborated on a digital swarm platform in real time and in a blinded fashion, grading meniscal lesions on knee MR exams. These consensus votes were benchmarked against clinical (arthroscopy) and radiological (senior-most radiologist) standards of reference using Cohen's kappa. The IRR of the consensus votes was then compared to the IRR of the majority and most confident votes of the two cohorts. IRR was also calculated for predictions from a meniscal lesion detecting AI algorithm. The attending cohort saw an improvement of 23% in IRR of swarm votes (k = 0.34) over majority vote (k = 0.11). Similar improvement of 23% in IRR (k = 0.25) in 3-resident swarm votes over majority vote (k = 0.02) was observed. The 5-resident swarm had an even higher improvement of 30% in IRR (k = 0.37) over majority vote (k = 0.07). The swarm consensus votes outperformed individual and majority vote decision in both the radiologists and resident cohorts. The attending and resident swarms also outperformed predictions from a state-of-the-art AI algorithm.

PurposeTo (1) Compare vision-related quality of life (VRQOL) in adolescent and young adult (AYA) unilateral versus bilateral retinoblastoma (RB) survivors using a vision-targeted measure and a generic health-related quality of life (HRQOL) measure and (2) Assess associations among VRQOL and generic HRQOL domains and overall QOL and estimate associations of the VRQOL and HRQOL domains with overall QOL.MethodsThe National Institute for Health (NIH) Toolbox® VRQOL instrument, PROMIS®-29 Profile v 2.1, and a single-item QOL measure were administered in a cross-sectional study of 101 RB survivors. Reliability for multi-item scales was estimated. Product-moment and Spearman rank correlation coefficients and stepwise ordinary least squares were used to measure associations of other variables with overall QOL.ResultsSignificantly worse VRQOL was reported by bilateral than unilateral RB survivors. Cronbach's alpha coefficients for all VRQOL scales ranged from 0.83 to 0.95. Medium to large correlations were found between all NIH Toolbox® VRQOL scales and the PROMIS®-29 measures. Depression and ability to participate in social roles and activities from the PROMIS®-29 Profile accounted for 38% of the variance in overall QOL with the psychosocial domain of the NIH Toolbox® VRQOL explaining 16% of the variance.ConclusionVRQOL is impaired in bilateral RB survivors. VRQOL is associated substantially with the PROMIS-29 generic HRQOL measure but has significant unique associations with overall QOL. The NIH Toolbox® VRQOL measure provides important information about the vision-related effects on daily life of AYA RB survivors.

Single-molecule Förster-resonance energy transfer (smFRET) experiments allow the study of biomolecular structure and dynamics in vitro and in vivo. We performed an international blind study involving 19 laboratories to assess the uncertainty of FRET experiments for proteins with respect to the measured FRET efficiency histograms, determination of distances, and the detection and quantification of structural dynamics. Using two protein systems with distinct conformational changes and dynamics, we obtained an uncertainty of the FRET efficiency ≤0.06, corresponding to an interdye distance precision of ≤2 Å and accuracy of ≤5 Å. We further discuss the limits for detecting fluctuations in this distance range and how to identify dye perturbations. Our work demonstrates the ability of smFRET experiments to simultaneously measure distances and avoid the averaging of conformational dynamics for realistic protein systems, highlighting its importance in the expanding toolbox of integrative structural biology.

Resting-state functional network connectivity (rsFNC) has shown utility for identifying characteristic functional brain patterns in individuals with psychiatric and mood disorders, providing a promising avenue for biomarker development. However, several factors have precluded widespread clinical adoption of rsFNC diagnostics, namely a lack of standardized approaches for capturing comparable and reproducible imaging markers across individuals, as well as the disagreement on the amount of data required to robustly detect intrinsic connectivity networks (ICNs) and diagnostically relevant patterns of rsFNC at the individual subject level. Recently, spatially constrained independent component analysis (scICA) has been proposed as an automated method for extracting ICNs standardized to a chosen network template while still preserving individual variation. Leveraging the scICA methodology, which solves the former challenge of standardized neuroimaging markers, we investigate the latter challenge of identifying a minimally sufficient data length for clinical applications of resting-state fMRI (rsfMRI). Using a dataset containing rsfMRI scans of individuals with schizophrenia and controls (M = 310) as well as simulated rsfMRI, we evaluated the robustness of ICN and rsFNC estimates at both the subject- and group-level, as well as the performance of diagnostic classification, with respect to the length of the rsfMRI time course. We found individual estimates of ICNs and rsFNC from the full-length (5 min) reference time course were sufficiently approximated with just 3-3.5 min of data (r = 0.85, 0.88, respectively), and significant differences in group-average rsFNC could be sufficiently approximated with even less data, just 2 min (r = 0.86). These results from the shorter clinical data were largely consistent with the results from validation experiments using longer time series from both simulated (30 min) and real-world (14 min) datasets, in which estimates of subject-level FNC were reliably estimated with 3-5 min of data. Moreover, in the real-world data we found rsFNC and ICN estimates generated across the full range of data lengths (0.5-14 min) more reliably matched those generated from the first 5 min of scan time than those generated from the last 5 min, suggesting increased influence of "late scan" noise factors such as fatigue or drowsiness may limit the reliability of FNC from data collected after 10+ min of scan time, further supporting the notion of shorter scans. Lastly, a diagnostic classification model trained on just 2 min of data retained 97%-98% classification accuracy relative to that of the full-length reference model. Our results suggest that, when decomposed with scICA, rsfMRI scans of just 2-5 min show good clinical utility without significant loss of individual FNC information of longer scan lengths.

BackgroundThe Collaborative Outcome study on Health and Functioning during Infection Times (COH-FIT; www.coh-fit.com) is an anonymous and global online survey measuring health and functioning during the COVID-19 pandemic. The aim of this study was to test concurrently the validity of COH-FIT items and the internal validity of the co-primary outcome, a composite psychopathology "P-score".MethodsThe COH-FIT survey has been translated into 30 languages (two blind forward-translations, consensus, one independent English back-translation, final harmonization). To measure mental health, 1-4 items ("COH-FIT items") were extracted from validated questionnaires (e.g. Patient Health Questionnaire 9). COH-FIT items measured anxiety, depressive, post-traumatic, obsessive-compulsive, bipolar and psychotic symptoms, as well as stress, sleep and concentration. COH-FIT Items which correlated r ≥ 0.5 with validated companion questionnaires, were initially retained. A P-score factor structure was then identified from these items using exploratory factor analysis (EFA) and confirmatory factor analyses (CFA) on data split into training and validation sets. Consistency of results across languages, gender and age was assessed.ResultsFrom >150,000 adult responses by May 6th, 2022, a subset of 22,456 completed both COH-FIT items and validated questionnaires. Concurrent validity was consistently demonstrated across different languages for COH-FIT items. CFA confirmed EFA results of five first-order factors (anxiety, depression, post-traumatic, psychotic, psychophysiologic symptoms) and revealed a single second-order factor P-score, with high internal reliability (ω = 0.95). Factor structure was consistent across age and sex.ConclusionsCOH-FIT is a valid instrument to globally measure mental health during infection times. The P-score is a valid measure of multidimensional mental health.

BackgroundTo assess whether artificial intelligence (AI)-based decision support allows more reproducible and standardized assessment of treatment response on MRI in neuro-oncology as compared to manual 2-dimensional measurements of tumor burden using the Response Assessment in Neuro-Oncology (RANO) criteria.MethodsA series of 30 patients (15 lower-grade gliomas, 15 glioblastoma) with availability of consecutive MRI scans was selected. The time to progression (TTP) on MRI was separately evaluated for each patient by 15 investigators over two rounds. In the first round the TTP was evaluated based on the RANO criteria, whereas in the second round the TTP was evaluated by incorporating additional information from AI-enhanced MRI sequences depicting the longitudinal changes in tumor volumes. The agreement of the TTP measurements between investigators was evaluated using concordance correlation coefficients (CCC) with confidence intervals (CI) and P-values obtained using bootstrap resampling.ResultsThe CCC of TTP-measurements between investigators was 0.77 (95% CI = 0.69,0.88) with RANO alone and increased to 0.91 (95% CI = 0.82,0.95) with AI-based decision support (P = .005). This effect was significantly greater (P = .008) for patients with lower-grade gliomas (CCC = 0.70 [95% CI = 0.56,0.85] without vs. 0.90 [95% CI = 0.76,0.95] with AI-based decision support) as compared to glioblastoma (CCC = 0.83 [95% CI = 0.75,0.92] without vs. 0.86 [95% CI = 0.78,0.93] with AI-based decision support). Investigators with less years of experience judged the AI-based decision as more helpful (P = .02).ConclusionsAI-based decision support has the potential to yield more reproducible and standardized assessment of treatment response in neuro-oncology as compared to manual 2-dimensional measurements of tumor burden, particularly in patients with lower-grade gliomas. A fully-functional version of this AI-based processing pipeline is provided as open-source (https://github.com/NeuroAI-HD/HD-GLIO-XNAT).

Social norms related to fertility may be driving pregnancy desire, timing and contraceptive use, but measurement has lagged. We validated a 10-item injunctive Fertility Norms Scale (FNS) and examined its associations with family planning outcomes among 1021 women and 1020 men in India. FNS captured expectations around pronatalism, childbearing early in marriage and community pressure. We assessed reliability and construct validity through Cronbachs alpha and exploratory factor analysis (EFA) respectively, examining associations with childbearing intention and contraceptive use. FNS demonstrated good reliability (α = 0.65-0.71) and differing sub-constructs by gender. High fertility norm among women was associated with greater likelihood of pregnancy intention [RRR = 2.35 (95% CI: 1.25,4.39); ARRR = 1.53 (95% CI: 0.70,3.30)], lower likelihood of delaying pregnancy [RRR = 0.69 (95% CI: 0.50,0.96); ARRR = 0.72 (95% CI: 0.51,1.02)] and greater ambivalence on delaying pregnancy [RRR = 1.92 (95% CI: 1.18,3.14); ARRR = 1.99 (95% CI: 1.21,3.28)]. Womens higher FNS scores were also associated with higher sterilization [RRR = 2.17 (95% CI: 1.28,3.66); ARRR = 2.24 (95% CI: 1.32,3.83)], but the reverse was noted for men [RRR = 0.61 (95% CI: 0.36,1.04); ARRR = 0.54 (95% CI: 0.32,0.94)]. FNS indicated better predictive value among women compared to men for key reproductive outcomes. This measure may be useful for social norms-focused evaluations in family planning and warrants cross-contextual study.

The lack of validated, cross-cultural measures for examining quality of contraceptive counseling compromises progress toward improved services. We tested the validity and reliability of the 10-item Quality of Contraceptive Counseling scale (QCC-10) and its association with continued protection from unintended pregnancy and person-centered outcomes using longitudinal data from women aged 15-49 in Burkina Faso, Kenya, and Nigeria. Psychometric analysis showed moderate-to-strong reliability (alphas: 0.73-0.91) and high convergent validity with greatest service satisfaction. At follow-up, QCC-10 scores were not associated with continued pregnancy protection but were linked to contraceptive informational needs being met among Burkinabe and Kenyan women; the reverse was true in Kano. Higher QCC-10 scores were also associated with care-seeking among Kenyan women experiencing side effects. The QCC-10 is a validated scale for assessing quality of contraceptive counseling across diverse contexts. Future work is needed to improve understanding of how the QCC-10 relates to person-centered measures of reproductive health.

OBJECTIVES: To develop a content-valid set of items to characterize different types of topical fluoride hesitancy among caregivers. We will use this information to develop and test tailor-made interventions directed to caregivers with varied types and levels of topical fluoride hesitancy, to ultimately improve child oral health. METHODS: Caregivers participated in three study activities, in the following order: (1) semi-structured concept elicitation interviews (n = 56), (2) cognitive interviews (n = 9), and (3) usability interviews (n = 3). Interviews were conducted via telephone and audio-recorded and transcribed for qualitative analysis. Twelve pediatric dental providers and researchers participated in item review. An assessment of reading level of items was made with goal of 6th grade reading level or less. RESULTS: Based on elicitation interviews, we initially developed 271 items, which the investigative team evaluated for conceptual clarity, specificity to topical fluoride hesitancy, and sensitivity to potential interventions. After four rounds of review and cognitive interviews, we retained 33 items across five previously identified domains. Changes after cognitive interviews included item revision to improve comprehension and item re-ordering to avoid order effects. Changes after usability testing including clarification regarding referent child for families with multiple children. The reading level of the item pool is grade 3.2. CONCLUSIONS: The resulting 33-item fluoride hesitancy item pool is content valid and will address an important need for identifying and addressing topical fluoride hesitancy in the context of dental research and clinical practice. Next steps include psychometric evaluation to assess scale and test-retest reliability and construct validity.

ObjectivesThe Simplified Oral Hygiene Index for Maxillary Incisors (OHI-MIS) is a novel plaque scoring system adapted for young children. This study describes calibration training and testing used to establish the inter- and intra-rater reliability for OHI-MIS measured from clinical photographs.MethodsTwo raters from the Coordinated Oral Health Promotion Chicago (CO-OP) and one from the Behavioral EConomics for Oral health iNnovation (BEECON) randomized controlled trials (RCTs) underwent calibration with gold standard raters, followed by annual re-calibration. Raters from CO-OP also completed inter-rater reliability testing; all three raters completed intra-rater reliability testing rounds. Photographs were obtained from children aged 9-39 months.ResultsAll three raters achieved greater than 0.77 Lin's Concordance Correlation (LCC) versus gold standard consensus during calibration. All three raters had LCC ≥0.83 at recalibration 1 year later. CO-OP trial raters scored 604 photos (151 sets of 4 photographs); mostly both raters were somewhat/very confident in their scoring (≥89%), describing the most photos as "clear" (90% and 81%). The CO-OP inter-rater LCC for total OHI-MIS score was 0.86, changing little when low quality or confidence photos were removed. All three raters demonstrated high intra-rater reliability (≥0.83).ConclusionsThe OHI-MIS plaque scoring system on photos had good reliability within and between trials following protocol training and calibration. OHI-MIS provides a novel asynchronous plaque scoring system for use in young children. Non-clinicians in field or clinical settings can obtain photographs, offering new opportunities for research and clinical care.

BACKGROUND: The functional lumen imaging probe (FLIP) evaluates esophagogastric junction (EGJ) opening and esophageal contractility. Both post hoc and real-time analyses are possible, but reproducibility and reliability of analysis remain undefined. This study assesses inter- and intra-rater agreement of normative FLIP measurements among novice and experienced users. METHODS: Eight motility experts from different institutions independently evaluated de-identified video recordings from 27 asymptomatic healthy subjects using FLIP. Interpretation methods simulating a post-procedure and a live procedure setting were tested. Novice FLIP users (n = 3) received training prior to post-procedure interpretation. Experienced FLIP users (n = 5) interpreted using both methods. Users recorded maximum EGJ and distal esophageal body diameter, distensive pressure, and EGJ distensibility index (EGJ-DI), at balloon fill volumes of 50-, 60-, and 70 ml, as well as repetitive antegrade contractions (RACs). Inter- and intra-rater agreements of diameters, distensive pressure and EGJ-DI were assessed by intra-class correlation coefficient (ICC) and Pearsons correlation coefficient (PCC). Percentage agreement evaluated inter- and intra-rater reliability for RACs. KEY RESULTS: Novice and experienced users acquired normative FLIP metrics. Good-to-excellent inter- and intra-rater reliability were achieved for all variables at 60 ml balloon fill volumes. Median parameters at 60 ml balloon fill volume were as follows: EGJ-DI 5.5 mm2 /mmHg, maximum EGJ diameter 18.6 mm, distensive pressure at maximum EGJ diameter 48.1 mmHg, and distal esophageal body diameter 19.5 mm. CONCLUSIONS AND INFERENCES: Normative FLIP parameters can be reliably extracted from FLIP videos using both real-time and post hoc analyses, with high reliability between experienced and novice users.

We examined the associations between time perspective and mental health outcomes (N = 337; Mage = 22.74, SDage = 5.59; 76% female). Time perspective included multiple dimensions (feelings, frequency, orientation, and relation) and time periods (past, present, and future). Mental health outcomes included depressive symptoms, anxiety, and rumination. To demonstrate the reliability of the time perspective scales, test-retest analyses were completed. Multivariate analyses showed that (a) positive feelings about time were associated with lower anxiety; (b) negative feelings about time were associated with greater anxiety; and (c) more frequent thoughts about the past were associated with greater depressive symptoms and anxiety. Associations remained when controlling for anxiety and depressive symptoms, respectively. Moreover, (a) positive feelings about time were associated with lower rumination; (b) negative feelings about time were associated with greater rumination; and (c) more frequent thoughts about the past were associated with greater rumination. Time perspective scales yielded scores that were moderate to high in test-retest reliability. Findings demonstrate the value of examining separate time perspective dimensions and time periods. Results highlight the role of time perspective in mental health interventions for adults.

Analyzing proteins from single cells by tandem mass spectrometry (MS) has recently become technically feasible. While such analysis has the potential to accurately quantify thousands of proteins across thousands of single cells, the accuracy and reproducibility of the results may be undermined by numerous factors affecting experimental design, sample preparation, data acquisition and data analysis. We expect that broadly accepted community guidelines and standardized metrics will enhance rigor, data quality and alignment between laboratories. Here we propose best practices, quality controls and data-reporting recommendations to assist in the broad adoption of reliable quantitative workflows for single-cell proteomics. Resources and discussion forums are available at https://single-cell.net/guidelines .

Organizational implementation climate is an important construct in implementation research to describe to what extent implementation is expected, supported, and rewarded. Efforts in bridging the research-practice gap by implementing evidence-based practice (EBP) can benefit from consideration of implementation climate. The Implementation Climate Scale (ICS) is a psychometrically strong measure assessing employees' perceptions of the implementation climate. The present cross-sectional study aimed at providing a German translation and investigating its psychometric properties. The translation followed standard procedures for adapting psychometric instruments. German psychotherapists (N = 425) recruited online completed the ICS, the Evidence Based Practice Attitudes Scale (EBPAS-36D) and the Intention Scale for Providers (ISP). We conducted standard item and reliability analyses. Factorial validity was assessed by comparing an independent cluster model of Confirmatory Factorial Analysis (ICM-CFA), a Bifactor CFA, a Second-order CFA and an (Bifactor) Exploratory Structural Equation Model (ESEM). Measurement invariance was tested using multiple-group CFA and ESEM, convergent validity with correlation analysis between the ICS and the ISP subjective norms subscale (ISP-D-SN). The mean item difficulty was pi = .47, mean inter-item correlation r = .34, and mean item-total correlation ritc = .55. The total scale (ω = 0.91) and the subscales (ω = .79-.92) showed acceptable to high internal consistencies. The model fit indices were comparable and acceptable (Second-order CFA: RMSEA [90% CI] = .077 [.069; .085], SRMR = .078, CFI = .93). Multiple-group CFA and ESEM indicated scalar measurement invariance across gender and presence of a psychotherapy license. Psychotherapists in training reported higher educational support for EBP than licensed psychotherapists (T = 2.09, p = .037, d = 0.25). The expected high correlation between the ICS and the ISP-D-SN was found (r = .59, p

Human errors in criminal investigations have previously led to devastating miscarriages of justice. For example, flaws in forensic identification based on physical or photographic evidence are notoriously unreliable. The criminal justice system has, therefore, started to turn to artificial intelligence (AI) to improve the reliability and fairness of forensic identification. So as not to repeat history, it is critical to evaluate the appropriateness of deploying these new AI forensic tools. We assess the feasibility of measuring basic physical attributes in a photo using a state-of-the-art AI system, and compare performance with human experts and non-experts. Our results raise concerns as to the use of current AI-based forensic identification.

PurposeTo describe two new stereoacuity tests: the eRDS v6 stereotest, a global dynamic random dot stereogram (dRDS) test, and the Vivid Vision Stereo Test version 2 (VV), a local or "contour" stereotest for virtual reality (VR) headsets; and to evaluate the tests' reliability, validity compared to a dRDS standard, and learning effects.MethodsSixty-four subjects passed a battery of stereotests, including perceiving depth from RDS. Validity was evaluated relative to a tablet-based dRDS reference test, ASTEROID. Reliability and learning effects were assessed over six sessions.ResultseRDS v6 was effective at measuring small thresholds (

PurposeThere remains no consensus normal-appearing white matter (NAWM) normalization method to compute normalized relative cerebral blood volume (nrCBV) and apparent diffusion coefficient (nADC) in brain tumors. This reader study explored nrCBV and nADC differences using different NAWM normalization methods.MethodsThirty-five newly diagnosed glioma patients were studied. For each patient, two readers created four NAWM regions of interests: (1) a single plane in the centrum semiovale (CSOp), (2) 3 spheres in the centrum semiovale (CSOs), (3) a single plane in the slice of the tumor center (TUMp), and (4) 3 spheres in the slice of the tumor center (TUMs). Readers repeated NAWM segmentations 1 month later. Differences in nrCBV and nADC of the FLAIR hyperintense tumor, inter-/intra-reader variability, and time to segment NAWM were assessed. As a validation step, the diagnostic performance of each method for IDH-status prediction was evaluated.ResultsBoth readers obtained significantly different nrCBV (P < .001), nADC (P < .001), and time to segment NAWM (P < .001) between the four normalization methods. nrCBV and nADC were significantly different between CSO and TUM methods, but not between planar and spherical methods in the same NAWM region. Broadly, CSO methods were quicker than TUM methods, and spherical methods were quicker than planar methods. For all normalization techniques, inter-reader reproducibility and intra-reader repeatability were excellent (intraclass correlation coefficient > 0.9), and the IDH-status predictive performance remained similar.ConclusionThe selected NAWM region significantly impacts nrCBV and nADC values. CSO methods, particularly CSOs, may be preferred because of time reduction, similar reader variability, and similar diagnostic performance compared to TUM methods.

The Wellness Ready Test (WRT) is a lateral flow, stall-side assay that measures equine insulin in whole blood and requires validation before recommending clinical use. We evaluated intra- and inter-assay precision and linearity and compared the WRT with a radioimmunoassay (RIA). Tested concentrations ranged from 695 pmol/L (100 μIU/mL). For 20 replicates at each insulin level, intra-assay CVs of the WRT for insulin were 13.3%, 12.9%, and 15.3% at low (139-278 pmol/L; 20-40 μIU/mL), intermediate (278-417 pmol/L; 40-60 μIU/mL), and high (>417 pmol/L; >60 μIU/mL) concentrations, respectively. For 10 replicates at each level (3 assay lots), inter-assay CVs were 15.9%, 11.0%, and 11.7%, respectively. In the weighted linear regression of 5 measured insulin concentrations against expected concentrations, R2 = 0.98, slope = 1.02, and y-intercept = 14.4 pmol/L (2.08 μIU/mL). The Spearman correlation coefficient (rs) was 0.90 (95% CI: 0.85-0.94) between the WRT and RIA; the WRT = f(RIA) Passing-Bablok regression yielded the fit, y = 1.005x + 24.3 pmol/L (3.50 μIU/mL). The WRT result averaged 10.4% higher than the RIA result, with targeted bias of 25.9, 26.1, and 26.7 pmol/L (3.74, 3.76, and 3.84 μIU/mL) for cutoffs used to diagnose insulin dysregulation of 312, 347, and 451 pmol/L (45, 50, and 65 μIU/mL). Assay clinical sensitivities, specificities, and accuracies determined at the 3 selected clinical cutoffs and using the RIA as gold standard were 87-95%, 92-96%, and 91-95%, respectively (n = 99 samples). Observed total error was 28.4-30.4%. The WRT had acceptable precision, excellent linearity, and good association with the RIA.

In the North-Central United States, lowland ecotype switchgrass can increase yield by up to 50% compared with locally adapted but early flowering cultivars. However, lowland ecotypes are not winter tolerant. The mechanism for winter damage is unknown but previously has been associated with late flowering time. This study investigated heading date (measured for two years) and winter survivorship (measured for three years) in a multi-generation population generated from two winter-hardy lowland individuals and diverse southern lowland populations. Sequencing data (311,776 markers) from 1,306 individuals were used to evaluate genome-wide trait prediction through cross-validation and progeny prediction (n = 52). Genetic variance for heading date and winter survivorship was additive with high narrow-sense heritability (0.64 and 0.71, respectively) and reliability (0.68 and 0.76, respectively). The initial negative correlation between winter survivorship and heading date degraded across generations (F1r = -0.43, pseudo-F2r = -0.28, pseudo-F2 progeny r = -0.15). Within-family predictive ability was moderately high for heading date and winter survivorship (0.53 and 0.52, respectively). A multi-trait model did not improve predictive ability for either trait. Progeny predictive ability was 0.71 for winter survivorship and 0.53 for heading date. These results suggest that lowland ecotype populations can obtain sufficient survival rates in the northern United States with two or three cycles of effective selection. Despite accurate genomic prediction, naturally occurring winter mortality successfully isolated winter tolerant genotypes and appears to be an efficient method to develop high-yielding, cold-tolerant switchgrass cultivars.

BackgroundNumerous epidemiological studies have documented the adverse health impact of long-term exposure to fine particulate matter [particulate matter ≤2.5μm in aerodynamic diameter (PM2.5)] on mortality even at relatively low levels. However, methodological challenges remain to consider potential regulatory intervention's complexity and provide actionable evidence on the predicted benefits of interventions. We propose the parametric g-computation as an alternative analytical approach to such challenges.MethodWe applied the parametric g-computation to estimate the cumulative risks of nonaccidental death under different hypothetical intervention strategies targeting long-term exposure to PM2.5 in the Canadian Community Health Survey cohort from 2005 to 2015. On both relative and absolute scales, we explored the benefits of hypothetical intervention strategies compared with the natural course that a) set the simulated exposure value at each follow-up year to a threshold value if exposure was above the threshold (8.8 μg/m3, 7.04 μg/m3, 5 μg/m3, and 4 μg/m3), and b) reduced the simulated exposure value by a percentage (5% and 10%) at each follow-up year. We used the 3-y average PM2.5 concentration with 1-y lag at the postal code of respondents' annual mailing addresses as their long-term exposure to PM2.5. We considered baseline and time-varying confounders, including demographics, behavior characteristics, income level, and neighborhood socioeconomic status. We also included the R syntax for reproducibility and replication.ResultsAll hypothetical intervention strategies explored led to lower 11-y cumulative mortality risks than the estimated value under the natural course without intervention, with the smallest reduction of 0.20 per 1,000 participants (95% CI: 0.06, 0.34) under the threshold of 8.8 μg/m3, and the largest reduction of 3.40 per 1,000 participants (95% CI: -0.23, 7.03) under the relative reduction of 10% per interval. The reductions in cumulative risk, or numbers of deaths that would have been prevented if the intervention was employed instead of maintaining the status quo, increased over time but flattened toward the end of the follow-up period. Estimates among those ≥65 years of age were greater with a similar pattern. Our estimates were robust to different model specifications.DiscussionWe found evidence that any intervention further reducing the long-term exposure to PM2.5 would reduce the cumulative mortality risk, with greater benefits in the older population, even in a population already exposed to low levels of ambient PM2.5. The parametric g-computation used in this study provides flexibilities in simulating real-world interventions, accommodates time-varying exposure and confounders, and estimates adjusted survival curves with clearer interpretation and more information than a single hazard ratio, making it a valuable analytical alternative in air pollution epidemiological research. https://doi.org/10.1289/EHP11095.