Deaf people who use American Sign Language (ASL) are more likely to use the emergency department (ED) than their hearing English-speaking counterparts and are also at higher risk of receiving inaccessible communication. The purpose of this study is to explore the ED communication experience of Deaf patients. A descriptive qualitative study was performed by interviewing 11 Deaf people who had used the ED in the past 2 years. Applying a descriptive thematic analysis, we developed five themes: (1) requesting communication access can be stressful, frustrating, and time-consuming; (2) perspectives and experiences with Video Remote Interpreting (VRI); (3) expectations, benefits, and drawbacks of using on-site ASL interpreters; (4) written and oral communication provides insufficient information to Deaf patients; and (5) ED staff and providers lack cultural sensitivity and awareness towards Deaf patients. Findings are discussed with respect to medical and interpreting ethics to improve ED communication for Deaf patients.

Qualitative thematic analysis is a commonly used and widely applicable form of qualitative analysis, though it can be challenging to implement. Due to its use across research questions, qualitative traditions, and fields, thematic analysis is also prevalent in mixed methods studies. Despite its widespread use, the term “thematic analysis” is often confused and not always well described in empirical studies. In addition, there is limited guidance on how to use thematic analysis within the context of mixed methods research to ensure rigorous study design and mixed methods integration. Therefore, the purpose of this paper is to describe the definitions, use, and variations of thematic analysis and explore how integration and mixed methods validity may be impacted in mixed methods studies.

Depression, anxiety, and stress continue to be among the largest burdens of disease, globally. The Depression, Anxiety, and Stress Scale-21 Items (DASS-21) is a shortened version of DASS-41 developed to measure these mental health conditions. The DASS-41 has strong evidence of validity and reliability in multiple contexts. However, the DASS-21, and the resulting item properties, has been explored less in terms of modern test theories. One such theory is Item Response Theory (IRT), and we use IRT models to explore latent item and person traits of each DASS-21 sub-scale among people living in Malaysia. Specifically, we aimed to assess Classical Test Theory and IRT properties including dimensionality, internal consistency (reliability), and item-level properties. We conducted a web-based cross-sectional study and sent link-based questionnaires to people aged 18 and above in a private university and requested to roll out the link. Overall and individual sub-scales’ Cronbach’s alpha of the DASS-21 indicates an excellent internal consistency. The average inter-item correlation and corrected inter-item correlations for each of the sub-scales indicated acceptable discrimination. On average, DASS-21 total scores and sub-scale scores were significantly higher among female participants than males. The Graded Response Model had better empirical fit to sub-scale response data. Raw summated and latent (IRT estimated) scores of the Depression, Anxiety, and Stress sub-scales, and overall DASS-21 were strongly correlated. Thus, this study provides evidence of validity supporting the use of the DASS-21 as a mental health screening tool among Malaysians. Specifically, standard error of measurement was minimized to provide robust evidence of potential utility in identifying participants who are and are not experiencing these mental health issues. Additional research is warranted to ensure that test content culturally appropriate and accurately measuring cultural norms of depression, anxiety, and stress.

Purpose: Nearly 20% of U.S. Americans report a hearing loss, yet our current health care system is poorly designed and equipped to effectively care for these individuals. Individuals with hearing loss report communication breakdowns, inaccessible health information, reduced awareness and training by health care providers, and decreased satisfaction while struggling with inadequate health literacy. These all contribute to health inequities and increased health care expenditures and inefficiencies. It is time to reframe the health care system for these individuals using existing models of best practices and accessibility to mitigate inequities and improve quality of care. Method: A review of system-, clinic-, provider-, and patient-level barriers, along with existing and suggested efforts to improve care for individuals with hearing loss, are presented. Results: These strategies include improving screening and identification of hearing loss, adopting universal design and inclusion principles, implementing effective communication approaches, leveraging assistive technologies and training, and diversifying a team to better care for patients with hearing loss. Patients should also be encouraged to seek social support and resources from hearing loss organizations while leveraging technologies to help facilitate communication. Conclusions: The strategies described introduce actionable steps that can be made at the system, clinic, provider, and patient levels. With implementation of these steps, significant progress can be made to more proactively meet the needs of patients with hearing loss. Presentation Video: https://doi.org/10.23641/asha.21215843

Mixed methods research relies on the integration of quantitative and qualitative data to develop meta-inferences. Despite an increase in techniques to facilitate integration at the methods and reporting levels, there is less practical guidance on how to conduct mixed methods integrative data analysis. Qualitative data analysis software is rapidly advancing to facilitate integrative analysis in mixed methods research studies. However, examples on how these features support analysis are relatively limited. The purpose of this article is to promote the use of qualitative data analysis software for integrative analysis in mixed methods research by describing the value of the major features available in software (i.e., code queries, crosstabulations, and quote matrices). In addition to a brief overview of these features, this article demonstrates the use of MAXQDA’s Interactive Quote Matrix with a real-life example of a completed mixed methods study and delineates the step-by-step process on how to use this feature to develop meta-inferences.

Objective: Health literacy and health insurance literacy affect healthcare utilization. The purpose of this study was to determine the relation between health insurance knowledge, self-efficacy, and student healthcare utilization in the past year. Participants: A random sample of 1,450 respondents, over the age of 18, attending a public university in the southeastern United States completed a survey in March 2017. Methods: A model was constructed to test the effect of health insurance self-efficacy on the relation between knowledge and healthcare utilization in the past year. Results: Health insurance knowledge (M = 5.8, range 0–10) and self-efficacy (M = 2.48, range 1–4) were low. Self-efficacy was a significant moderator when explaining healthcare utilization in the past year. Conclusions: College students have low knowledge and self-efficacy regarding health insurance. These findings can be used for developing policies and self-efficacy-based health education programs that may increase student healthcare utilization.