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Understanding the predictive pathways of the integrated HL model could help clinicians to tailor HL interventions using a patient's personal determinants to facilitate participation in decision making and promote health for breast cancer patients.

The Brunnstrom recovery stages (the BRS) consists of 2 items assessing the poststroke motor function of the upper extremities and 1 assessing the lower extremities. The 3 items together represent overall motor function. Although the BRS efficiently assesses poststroke motor functions, a lack of rigorous examination of the psychometric properties restricts its utility. We aimed to examine the unidimensionality, Rasch reliability, and responsiveness of the BRS, and transform the raw sum scores of the BRS into Rasch logit scores once the 3 items fitted the assumptions of the Rasch model.We retrieved medical records of the BRS (N = 1180) from a medical center. We used Rasch analysis to examine the unidimensionality and Rasch reliability of both upper-extremity items and the 3 overall motor items of the BRS. In addition, to compare their responsiveness for patients (n = 41) assessed with the BRS and the Stroke Rehabilitation Assessment of Movement (STREAM) on admission and at discharge, we calculated the effect size (ES) and standardized response mean (SRM).The upper-extremity items and overall motor items fitted the assumptions of the Rasch model (infit/outfit mean square = 0.57–1.40). The Rasch reliabilities of the upper-extremity items and overall motor items were high (0.91–0.92). The upper-extremity items and overall motor items had adequate responsiveness (ES = 0.35–0.41, SRM = 0.85–0.99), which was comparable to that of the STREAM (ES = 0.43–0.44, SRM = 1.00–1.13).The results of our study support the unidimensionality, Rasch reliability, and responsiveness of the BRS. Moreover, the BRS can be transformed into an interval-level measure, which would be useful to quantify the extent of poststroke motor function, the changes of motor function, and the differences of motor functions in patients with stroke.

We recommend using the 12-domain scores of the rescaled HLS-EU-Q to comprehensively and accurately capture the competencies to access, understand, appraise, and apply health information within the three health contexts of healthcare, disease prevention, and health promotion for patients with stroke.

The HLS-EU-Q with 46 items is recommended for use in capturing the diverse health literacy competencies of women with breast cancer in different health contexts.

This study highlights the attention of applying current SK tests and need for revising existing tests or developing a new test.

Objectives:This study aimed to describe the levels of health literacy and experience of care coordination among Chinese migrant patients with cancer and their carers in Australia, and to examine factors associated with these. Methods:Patients' self-reported data were collected using the Health Literacy and Cancer Care Coordination questionnaires. We conducted multivariate linear regression analyses to investigate predictors of patients' health literacy and their care experience. Canonical correlation analysis was used to examine the relationship between patients' health literacy and their care experience.Results: A total of 68 patients and eight carers participated in the survey. Patients and carers reported similar levels of health literacy, with the lowest scores being in the "Having sufficient information to manage health" and "Navigating the health system" subscales. Gender (P = 0.026, partial η 2 = 0.281) and educational attainment (P = 0.015, partial η 2 = 0.250) had significant and large effects on patients' health literacy, after controlling for each other. Educational attainment showed a significant and medium association with patients' experience of cancer care coordination (P = 0.041, partial η 2 = 0.101). A large and positive correlation was found between patients' health literacy and experience of cancer care coordination (canonical correlation = 0.81). Conclusions:Our findings reveal the health literacy and care coordination needs of Chinese migrant patients with cancer in Australia, especially those with lower educational attainment. Future efforts are necessary to enhance Chinese migrants' health literacy and establish an accessible and easy-to-navigate care environment.

Chirality plays an important role in biological processes, and enantiomers often possess similar physical properties and different physiologic functions. In recent years, chiral detection of enantiomers become a popular topic. Plasmonic metasurfaces enhance weak inherent chiral effects of biomolecules, so they are used in chiral detection. Artificial intelligence algorithm makes a lot of contribution to many aspects of nanophotonics. Here, we propose a nanostructure design method based on reinforcement learning and devise chiral nanostructures to distinguish enantiomers. The algorithm finds out the metallic nanostructures with a sharp peak in circular dichroism spectra and emphasizes the frequency shifts caused by nearfield interaction of nanostructures and biomolecules. Our work inspires universal and efficient machinelearning methods for nanophotonic design.