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BACKGROUND:Limited English-proficient patients suffer poorer quality of care and outcomes. Interpreters can ameliorate these disparities; however, evidence is lacking on the quality of different interpretation modes. OBJECTIVE:Compare accuracy of interpretation for in-person (IP) professional, professional videoconferencing (VC), and ad hoc (AH) interpretation. DESIGN:A cross-sectional study of transcribed audiotaped primary care visits. SUBJECTS:Subjects included 32 Spanish-speaking Latino patients and 14 clinicians. MEASURES:Independent coding of transcripts by 4 coders (2 were internists) for accurate and inaccurate interpretation instances. Unit of analysis was a segment of continuous speech or text unit (TU). Two internists independently verified inaccurate interpretation instances and rated their clinical significance as clinically insignificant, mildly, moderately, or highly clinically significant. RESULTS:Accurate interpretation made up 70% of total coded TUs and inaccurate interpretation (errors) made up 30%. Inaccurate interpretation occurred at twice the rate for AH (54% of coded TUs) versus IP (25%) and VC (23%) interpretation, due to more errors of omission (P<0.001) and answers for patient or clinician (P<0.001). Mean number of errors per visit was 27, with 7.1% of errors rated as moderately/highly clinically significant. In adjusted models, the odds of inaccurate interpretation were lower for IP (OR=0.25, 95% CI, 0.19, 0.33) and VC (OR=0.31; 95% CI, 0.17, 0.56) than for AH interpreted visits; the odds of a moderately/highly clinically significant error were lower for IP (OR=0.25; 95% CI, 0.06, 0.99) than for AH interpreted visits. CONCLUSIONS:Inaccurate language interpretation in medical encounters is common and more frequent when untrained interpreters are used compared with professional IP or through VC. Professional VC interpretation may increase access to higher quality medical interpretation services.

BackgroundThe use of professional interpretation is associated with improvements in overall healthcare of patients with limited English proficiency (LEP). For these patients, it is important to understand whether quality of professional interpretation in-person is preserved using remote interpretation modalities (video-conferencing, telephone).ObjectiveTo compare patient perceptions of professional interpretation quality delivered in-person, via video-conferencing, or via telephone during in-person primary care clinical visits.DesignSecondary analysis of a telephone survey conducted within 1 week after a primary care visitParticipantsThe 326 Chinese and Latino survey participants with LEP who reported using a professional interpreter—in-person, video medical conferencing (VMI), or telephone—during their visitMain MeasuresSix items about the quality of interpretation: five detailed items scored as a scale, and a sixth overall quality item (range 1 = poor to 5 = excellent)Key ResultsWhile there was a range for all modalities, most patients reported “very good” or “excellent” quality on both the scale and the overall single quality measure. In adjusted analysis, patients rated VMI quality the highest, followed by in-person and then telephone on both the 5-item scale (adjusted means: VMI 3.91, in-person 3.86, telephone 3.73) and the overall single quality item (adjusted means: VMI 3.94, in-person 3.85, telephone 3.83); however, no two-way comparisons were statistically significant (p values ranged 0.15–0.95).ConclusionsOur results highlight that, overall, the interpretation experience among patients who used any type of professional interpretation was positive, and that the quality found with in-person interpretation is preserved for remote modalities. Health systems should consider a multimodality approach to interpreter service provision including options for accessing professional interpreters via all three modalities based on communication and access needs.

To evaluate a series of prospective life course models testing whether the timing of pubertal development is a pathway through which prepubertal risk factors may influence adulthood cardiometabolic health. Subjects were 655 female participants in the NICHD Study of Early Child Care and Youth Development (SECCYD) and recent SECCYD 30-year follow-up, the Study of Health in Early and Adult Life (SHINE). Prepubertal risk factors included maternal menarcheal age, child race/ethnicity, child health status indicators, and child adversity indicators. Pubertal timing was indexed by breast development onset (Tanner stage [TS] II), pubic hair onset (TS II) and menarcheal age. Adulthood cardiometabolic risk (CMR) was indexed by a composite of waist circumference, systolic blood pressure, diastolic blood pressure, hemoglobin A1c, C-reactive protein, and high-density lipoprotein. Inspection of paths between the prepubertal risk factors, pubertal timing indicators, and adulthood CMR composite showed later breast development onset (-0.173, p < .01), later pubic hair onset (-0.182, p < .01), and later menarche (-0.145, p < .01) each predicted lower adulthood CMR, and each pubertal timing indicator mediated effects of prepubertal risk factors on adulthood CMR. Specifically, the timing of breast development onset and menarche mediated effects of maternal menarcheal age, Black (vs. White), Asian/PI (vs. White), child BMI percentile, and child SES on adulthood CMR (all ps < .05), and the timing of pubic hair onset mediated effects of maternal menarcheal age, Black (vs. White), and child BMI percentile on adulthood CMR (all ps < .10). Findings in the current study contribute to the broader literature by identifying pubertal development and its timing as a potentially important pathway through which early life exposures may shape adulthood cardiometabolic health and disease. These findings have important implications for novel opportunities for increased surveillance and potential intervention focusing on pubertal development as a target to improve health more broadly.

To examine how child mortality among children aged 1-59 months varies by asset-based wealth status in rural Burkina Faso, and to assess the interaction between mass azithromycin (AZ) distribution and wealth status on child mortality at both the household and community levels. We used data from a cluster-randomized trial and population census data on household characteristics and assets. A wealth index score for each household, used to classify the population by wealth, was generated using principal component analysis. We used the Relative Index of Inequality (RII), the Slope Index of Inequality (SII), and the concentration index to assess wealth-related inequalities in mortality, and the Gini Index to assess variability in child mortality across households and communities. Poisson regression models were used, with person-time at risk included as an offset, and robust standard error to estimate changes in mortality rates by wealth and treatment arm. Interaction was assessed on both the multiplicative and additive scales. Mortality declined with increasing wealth at both the household and community levels, with a significant gradient at the community level (RII = 1.17, 95% CI: 1.05-1.29; SII = 2.3 per 1,000 person-years, 95% CI: 0.2-4.4), reflecting higher mortality among the poorest. The effect of AZ did not vary significantly by wealth index, and changes in mortality rates across wealth levels were similar between the two treatment arms. There was no evidence of a statistically significant interaction between AZ and asset-based wealth on either the multiplicative or additive scale at the household or cluster level. Our findings demonstrate a wealth gradient in child mortality, with the highest mortality rates observed among households and communities in the lowest wealth quintiles. These disparities were consistent across both AZ-treated and placebo groups, suggesting that the role of AZ in health disparities may be limited to addressing gaps in treatment access rather than broader wealth-related disparities. While the study may have been underpowered to detect modest interaction effects, AZ appeared to offer similar benefits across economically diverse communities, with no evidence suggesting enhanced benefits for disadvantaged communities or for prioritizing treatment based on wealth status. Further work is needed to address the wealth-related disparities in child mortality in these communities. ClinicalTrials.gov NCT03676764.

Abstract Rationale Although lung transplantation aims to improve health-related quality of life (HRQL), existing instruments fail to include health domains considered important in this population. Objectives We aimed to develop a comprehensive lung transplant–specific instrument to address this shortcoming. Methods We developed a pool of 126 candidate items addressing domains previously identified as important by lung transplant recipients. Through cognitive interviews conducted in 43 transplant recipients, items deemed irrelevant or redundant were dropped. The 84 remaining items were field tested in lung transplant recipients. Exploratory and confirmatory factor analyses were used to evaluate the factor structure, and scales were evaluated for internal consistency and construct validity. Measurements and Main Results The 84-item preliminary survey was administered to 201 lung transplant recipients with a mean age of 57.9 (±12.7) years; 46% were female. After factor analyses and internal consistency evaluation, we retained 60 items comprising the Lung Transplant Quality of Life (LT-QOL) Survey. The LT-QOL contains 10 scales that measure symptoms, health perceptions, functioning, and well-being. The confirmatory factor analysis model had good approximate fit (comparative fit index = 0.990; standardized root-mean-square residual = 0.062). Cronbach αs for the 10 scales ranged from 0.75 to 0.95. Interscale correlations were consistent with hypothesized relationships. Subjects with severe chronic lung allograft dysfunction (n = 13) reported significantly worse HRQL than subjects without chronic lung allograft dysfunction (n = 168) on 6 of the 10 LT-QOL scales. Conclusions The LT-QOL is a new, multidimensional instrument that characterizes and quantifies HRQL in lung transplant recipients.

Cognitive theories suggest the manner in which individuals process trauma-related information influences posttraumatic sequelae. Interpretations about trauma can be maladaptive and lead to cognitive distortions implicated in the development of posttraumatic stress disorder (PTSD) through the processes of overaccommodation and assimilation . Alternatively, adaptive interpretations about trauma through the process of accommodation can lead to post-trauma resilience and recovery. The Trauma-Related Cognitions Scale (TRCS) provides a measure of beliefs associated with these cognitive processes. The TRCS was developed over the course of four phases. During Phase 1, 94 items derived from previously validated trauma cognition/beliefs measures were aggregated with 40 items developed by the authors. Phase 2 investigated the TRCS factor structure by fitting exploratory factor analysis (EFA) models to data from a non-clinical sample, resulting in a reduced 69-item TRCS representing four factors: the three theoretical cognitive processes of overaccommodation, assimilation, and accommodation, and an additional optimism factor. Phases 3 and 4 fit confirmatory factor analysis (CFA) models of the 69-item TRCS in a new non-clinical and a clinical sample, respectively, and further validation analyses were conducted. Initial evidence suggests the TRCS is a valid and reliable measure of trauma beliefs. Continued validation can determine its utility in both research and clinical contexts.

Comparative public health research makes wide use of self-report instruments. For example, research identifying and explaining health disparities across demographic strata may seek to understand the health effects of patient attitudes or private behaviors. Such personal attributes are difficult or impossible to observe directly and are often best measured by self-reports. Defensible use of self-reports in quantitative comparative research requires not only that the measured constructs have the same meaning across groups, but also that group comparisons of sample estimates (eg, means and variances) reflect true group differences and are not contaminated by group-specific attributes that are unrelated to the construct of interest. Evidence for these desirable properties of measurement instruments can be established within the confirmatory factor analysis (CFA) framework; a nested hierarchy of hypotheses is tested that addresses the cross-group invariance of the instrument's psychometric properties. By name, these hypotheses include configurai, metric (or pattern), strong (or scalar), and strict factorial invariance. The CFA model and each of these hypotheses are described in nontechnical language. A worked example and technical appendices are included.

Background Past research describes robust associations between education and health, yet findings have generally been limited to the examination of education as the number of years of education or educational attainment. Little is known about the specific features or processes underpinning education that are health protective. The objective of the current study was to address this gap by examining specific aspects of early education pertaining to student characteristics and experiences, as well as features of the classroom environment, in predicting cardiometabolic health in adulthood. Methods Subjects were 1364 participants in the NICHD Study of Early Child Care and Youth Development (SECCYD, 1991–2009) and recent SECCYD 30-year follow-up, the Study of Health in Early and Adult Life (SHINE, 2018–2022). Models examined individual education indicators (student social skills, student-teacher relationship quality, and classroom emotional and instructional quality in the period of elementary school and student academic performance between ages 54 months and 15 years) in relation to a composite of cardiometabolic risk in adulthood (ages 26–31), reflecting central adiposity, blood pressure, insulin resistance, inflammation, and dyslipidemia. Models were adjusted for key explanatory factors including socio-demographics, infant characteristics, parental socioeconomic status (SES), and child health status. Follow-up analyses were performed to test potential mediators of early education effects on adult health, including adult SES (educational attainment, household income) and health behaviors (diet quality, activity level, sleep duration, smoking). Results In adjusted models, results showed greater student social skills, indexed by a mean of annual teacher ratings between kindergarten and 6th grade, predicted lower cardiometabolic risk in adulthood (β=-0.009, p  <.05). In follow-up analyses, results showed the protective effect of student social skills on cardiometabolic risk may be mediated by adult income (β=-0.0014, p  <.05) and diet quality (β=-0.0031, p  <.05). Effects of the other early education indicators were non-significant ( p s > 0.05). Conclusions Findings point to the potential significance of early student social competence as a link to long-term health, possibly via the acquisition of resources needed for the maintenance of health, as well as through engagement in health behaviors supporting healthy eating. However, more research is needed to replicate these findings and to elaborate on the role of early student social competence and the pathways explaining its effects on cardiometabolic health in adulthood.

ObjectivesThis study aims to evaluate the Language Access Systems Improvement (LASI) initiative’s impact on professional interpreter utilisation in primary care and to explore patient and clinician perspectives on professional interpreter use.DesignMulti methods: Quantitative natural experiment pre-LASI and post-LASI, qualitative semistructured interviews with clinicians and focus groups with patients post-LASI.SettingLarge, academic primary care practice.ParticipantsCantonese, Mandarin, Spanish, English-speaking adult patients and their clinicians.InterventionLASI initiative: Implementation of a clinician language proficiency test and simultaneous provision of on-demand access to professional interpreters via video medical interpretation.Main outcome measuresQuantitative: Proportion of language discordant primary care visits which were professionally interpreted. Qualitative: Salient themes related to professional interpreter use and non-use.ResultsThe researchers categorised language concordance for 1475 visits with 152 unique clinicians; 698 were not fully language concordant (202 pre-LASI and 496 post-LASI). Professional interpreter utilisation increased (pre-LASI 57% vs post-LASI 66%; p=0.01); the visits with the lowest percentage of profssional interpreter use post-LASI were those in which clinicians and patients had partial language concordance. In inverse probability weighted analysis, restricting to 499 visits with strict estimated propensity score overlap (100% common support), post-LASI visits had higher odds of using a professional interpreter compared with pre-LASI visits (OR 2.39; 95% CI 1.04 to 5.48). Qualitative results demonstrate video interpretation was convenient and well liked by both clinicians and patients. Some partially bilingual clinicians reported frustration with patient refusal of interpreter services; others reported using the video interpreters as a backup during visits. Views of the care-partner role differed for clinicians and patients. Clinicians reported sometimes having family interpret out of convenience or habit, whereas patients reported wanting family members present for support and advocacy, not interpretation.ConclusionsLASI increased utilisation of professional interpreters; however, this was least prominent for partially language concordant visits. Health systems wishing to implement LASI or similar interventions will need to support clinicians and patients with partial bilingual skills in their efforts to use professional interpreters.Trial registration numberHSRP20153367.

ObjectiveIt is unclear why Black smokers in the United States have elevated risk of some tobacco-related diseases compared to White smokers. One possible causal mechanism is differential intake of tobacco toxicants, but results across studies are inconsistent. Thus, we examined racial differences in biomarkers of toxic volatile organic compounds (VOCs) present in tobacco smoke.MethodWe analyzed baseline data collected from 182 Black and 184 White adult smokers who participated in a randomized clinical trial in 2013–2014 at 10 sites across the United States. We examined differences in urinary levels of ten VOC metabolites, total nicotine equivalents (TNE), and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL), controlling for covariates such as cigarettes per day (CPD), as well as differences in VOCs per TNE to assess the extent to which tobacco exposure, and not metabolic factors, accounted for racial differences.ResultsConcentration of metabolites of acrolein, acrylonitrile, ethylene oxide, and methylating agents were significantly higher in Blacks compared to Whites when controlled for covariates. Other than the metabolite of methylating agents, VOCs per TNE did not differ between Blacks and Whites. Concentrations of TNE/CPD and VOCs/CPD were significantly higher in Blacks. Menthol did not contribute to racial differences in VOC levels.ConclusionsFor a given level of CPD, Black smokers likely take in higher levels of acrolein, acrylonitrile, and ethylene oxide than White smokers. Our findings are consistent with Blacks taking in more nicotine and toxicants per cigarette smoked, which may explain their elevated disease risk relative to other racial groups.