Length of Stay for Patients With Limited English Proficiency in Pediatric Urgent Care

Lost in Translation: Impact of Language Barriers and Facilitators on the Health Care of Asian Americans Living with HIV

Language barriers are major obstacles that Asian American immigrants face when accessing health care in the USA. This study was conducted to explore the impact of language barriers and facilitators on the health care of Asian Americans. Qualitative, in-depth interviews and quantitative surveys were conducted with 69 Asian Americans (Chinese, Filipino, Japanese, Malaysian, Indonesian, Vietnamese, and mixed Asian backgrounds) living with HIV (AALWH) in three urban areas (New York, San Francisco, and Los Angeles) in 2013 and from 2017 to 2020. The quantitative data indicate that language ability is negatively associated with stigma. Major themes emerged related to communication, including the impact of language barriers on HIV care and the positive impact of language facilitators-family members/friends, case managers, or interpreters-who can communicate with healthcare providers in the AALWH's native language. Language barriers negatively impact access to HIV-related services and thus result in decreased adherence to antiretroviral therapy, increased unmet healthcare needs, and increased HIV-related stigma. Language facilitators enhanced the connection between AALWH and the healthcare system by facilitating their engagement with health care providers. Language barriers experienced by AALWH not only impact their healthcare decisions and treatment choices but also increase levels of external stigma which may influence the process of acculturation to the host country. Language facilitators and barriers to health services for AALWH represent a target for future interventions in this population.

Design and development of a digital shared decision-making tool for stroke prevention in atrial fibrillation

Background

Shared decision-making (SDM) is an approach in which patients and clinicians act as partners in making medical decisions. Patients receive the information needed to decide and are encouraged to balance risks, benefits, and preferences. Informative materials are vital to SDM. Atrial fibrillation (AF) is the most common cardiac arrhythmia and responsible for 10% of ischemic strokes, however 1/3 of patients are not on appropriate anticoagulation. Decision sharing may facilitate treatment acceptance, improving outcomes.

Aims

To develop a framework of the components needed to create novel SDM tools and to provide practical examples through a case-study of stroke prevention in AF.

Methods

We analyze the design values of a web-based SDM tool created to better inform AF patients about anticoagulation. The tool was developed in partnership with patient advocates, multi-disciplinary investigators, and private design firms. It was refined through iterative, recursive testing in patients with AF. Its effectiveness is being evaluated in a multisite clinical trial led by Stanford University and sponsored by the American Heart Association.

Findings

The main components considered when creating the Stanford AFib tool included: design and software; content identification; information delivery; inclusive communication, user engagement; patient feedback; clinician experience; and anticipation of implementation and dissemination. We also highlight the ethical principles underlying SDM; matters of diversity and inclusion, linguistic variety, accessibility, and health literacy. The Stanford AFib Guide patient tool is available at: https://afibguide.com and the clinician tool at https://afibguide.com/clinician.

Conclusion

Attention to a range of vital development and design factors can facilitate tool adoption and information acquisition by diverse cultural, educational, and socioeconomic subpopulations. With thoughtful design, digital tools may decrease decision regret and improve treatment outcomes across many decision-making situations in healthcare.

Detecting professional interpreter use among patients with limited English proficiency: Derivation and validation study

Objectives:

The objective of this derivation and validation study was to develop and validate a search strategy algorithm to detect patients who used professional interpreter services.

Methods:

We identified all adults who had at least one intensive care unit admission during their hospital stay across the Mayo Clinic Enterprise between 1 January 2015 and 30 June 2020. Three random subsets of 100 patients were extracted from 60,268 patients to develop the search strategy algorithm. Two physician reviewers conducted gold standard manual chart review and any discrepancies were resolved by a third reviewer. These results were compared with the search strategy algorithm each time it was refined. Sensitivity and specificity were calculated during each phase by comparing the search strategy results to the reference gold standard for both derivation cohorts and the final validation cohort.

Results:

The first search strategy resulted in a sensitivity of 100% and a specificity of 89%. The second revised search strategy achieved a sensitivity of 100% and a specificity of 87%. The final version of the search strategy was applied to the validation subset and sensitivity and specificity were 100% and 89%, respectively.

Conclusion:

We derived and validated a search strategy algorithm to assess interpreter use among hospitalized patients. Using a search strategy algorithm with high sensitivity and specificity can reduce the time required to abstract data from the electronic medical records compared with manual data abstraction.

Disparities in Pediatric Emergency Department Length of Stay and Utilization Associated With Primary Language

OBJECTIVE

The aim of the study was to investigate the association between primary language and length of stay (LOS) in the pediatric emergency department (ED) within the context of known disparities impacting healthcare experiences and outcomes for patients with language barriers.

METHODS

We conducted a retrospective cohort study of consecutive encounters of patients presenting to, and discharged from, an urban pediatric ED from May 2015 through April 2018. Encounters were grouped into English primary language (EPL), Spanish (SPL), and other (OPL). Mean LOS comparisons were stratified by Emergency Severity Index (ESI). Bivariate and multivariate analyses were used to examine the relationship between LOS and variables, including age, sex, race/ethnicity, insurance, and time of presentation.

RESULTS

A total of 139,163 encounters were included. A higher proportion of SPL and OPL encounters were characterized as lower ESI acuity compared with EPL. Significantly longer LOS for SPL and OPL encounters was observed in the 2 lower acuity strata. The ESI 4-5 stratum demonstrated the greatest LOS disparity between EPL, SPL, and OPL (94 vs 103 vs 103 minutes, respectively, P < 0.001). In the highest acuity stratum, ESI 1-2, there was a nonsignificant trend toward longer LOS among EPL encounters (P = 0.08). The multivariate model accounted for 24% of LOS variance, but effect sizes were small for all variables except for ESI and age.

CONCLUSIONS

Patients with Spanish or other non-EPL who were triaged to lower acuity ESI levels experienced longer LOS in the pediatric ED than English-speaking counterparts. They also used the ED more frequently for low acuity issues, possibly reflecting disparities in access to primary care.