• Church Stewart posted an update 6 months, 2 weeks ago

    (3) Understanding the dynamic evolution of the detailed efficiencies and the key indicator efficiencies provide governments with differentiated and forward-looking suggestions toward promoting IWUHC efficiencies.This paper assessed the effectiveness of Respondent Driven Sampling (RDS) in recruiting undocumented Latinx immigrants for a prevalence health study at a time of heightened immigration enforcement. RDS was used to collect and analyze data from clinical interviews with 254 undocumented Latinx immigrant adults, enabling inference to a population of 22,000. 45% of the sample reported having a chronic medical condition. The desired sample size was achieved and exceeded with three initial recruits and 10 waves of recruitment across 9 weeks. There was substantial cross-group mixing for recruitment in terms of sex and recency of immigration, which facilitated the emergence of diversity within recruitment chains. Primary factors that contributed to effective recruitment were location, flexibility, on-site childcare, and detailed explanation of the recruitment process. RDS is an effective recruitment method to study the health of undocumented Latinx immigrants, which is essential to informing intervention and policy.

    Quality of Life Core Questionnaire of the European Organization for the Research and Treatment of Cancer (EORTC QLQ-C30) is one of the most used quality of life questionnaires in cancer studies. It provides scores for five functional scales, nine symptom scales, and two single items which assess overall health status and quality of life. However, high correlations among QLQ-C30 items suggest a reduced dimensionality for the scale.

    To assess the dimensionality of the EORTC QLQ-C30 using item response theory (IRT) in a training sample and confirmatory factor analysis (CFA) in a test sample.

    We analyzed responses to QLQ-C30 from 1,107 patients with advanced lung cancer who were included in five clinical trials of immunotherapy. We used non-parametric and parametric IRT models (Mokken, and Samejima’s graded response) in a random training set (n = 332) for initial assessment of dimensions and item characteristics of the QLQ-C30. Finally, we used CFA in the test set (n = 775) to confirm the measurement domains.

    Mokken model showed that QLQ-C30 fits a unidimensional scale, whereas Samejima model showed that most QLQ-C30 items present adequate difficulty and discrimination. All items showed adequate scalability indexes with an overall scalability of 0.47 (medium scale). The QLQ-C30-reduced dimensionality was confirmed by CFA (comparative fit index = 0.98, root mean square error of approximation = 0.055) with all items presenting factorial loadings > 0.40.

    The EORTC QLQ-C30 fits a unidimensional latent construct identified with perceived quality of life in advanced lung cancer patients.

    RPCEC00000161, RPCEC00000181 and RPCEC00000205.

    RPCEC00000161, RPCEC00000181 and RPCEC00000205.

    The Adult Social Care Outcomes Toolkit for Carers (ASCOT-Carer), developed in England, measures the effects of long-term care (LTC) services and carer support on informal carers’ quality of life (QoL). Translations of the ASCOT-Carer into other languages are useful for national and cross-national studies. The aim of this paper was to report on the translation and cultural adaptation of the original English ASCOT-Carer into German, to assess its content validity and to test for its construct validity (convergent and discriminative/known-group validity).

    Translation and cultural adaptation followed the ISPOR TCA guidelines. As part of the translation and adaptation process, five cognitive debriefing interviews with informal carers were used for evaluating linguistic and content validity. In addition, a sample of 344 informal carers of older adults, who received home care services in Austria, was used for hypothesis testing as suggested by the COSMIN checklist to assess convergent and discriminative/known-grs of the translated instrument.

    Health-related quality of life (HRQOL) among older cancer survivors can be impaired by factors such as treatment, comorbidities, and social challenges. These HRQOL impairments may be especially pronounced in rural areas, where older adults have higher cancer burden and more comorbidities and risk factors for poor health. This study aimed to assess rural-urban differences in HRQOL for older cancer survivors and controls.

    Data came from Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey (SEER-MHOS), which links cancer incidence from 18 U.S. population-based cancer registries to survey data for Medicare Advantage Organization enrollees (1998-2014). HRQOL measures were 8 standardized subscales and 2 global summary measures. We matched (21) controls to breast, colorectal, lung, and prostate cancer survivors, creating an analytic dataset of 271,640 participants (ages 65+). HRQOL measures were analyzed with linear regression models including multiplicative interaction terms (rurality by al HRQOL among older cancer survivors in rural areas. These interventions could target cancer-related stigma (particularly for lung and prostate cancers) and/or access to screening, treatment, and ancillary healthcare resources.Identifying the associations between head impact biomechanics and clinical recovery may inform better head impact monitoring procedures and identify athletes who may benefit from early treatments aimed to enhance recovery. The purpose of this study was to test whether head injury biomechanics are associated with clinical recovery of symptom severity, balance, and mental status, as well as symptom resolution time (SRT) and return-to-participation (RTP) time. We studied 45 college American football players (n = 51 concussions) who sustained an incident concussion while participating in a multi-site study. Player race/ethnicity, prior concussion, medical history, position, body mass index, event type, and impact location were covariates in our multivariable analyses. U0126 Multivariable negative binomial regression models analyzed associations between our study outcomes and (1) injury-causing linear and rotational head impact severity, (2) season repetitive head impact exposure (RHIE), and (3) injury day RHIE. Median SRT was 6.

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