Perception of COVID-19 Physical Distancing Effectiveness and Contagiousness of Asymptomatic Individuals: Cross-sectional Survey of Deaf and Hard of Hearing Adults in the United States

World Health Organization myth busters and indigenous perceptions of COVID-19: Quechua and Shipibo communities

When the COVID (SARS-V2) pandemic swept across the world, it impacted Indigenous communities more than others. This is due to a variety of reasons: socioeconomic injustice and racialization, lack of access to equitable healthcare, and linguistic discrimination. As a result, several communities and community types demonstrated this effect when perceptions of inferences or other COVID-related information were measured. This paper reports on a participatory collaborative study with two Indigenous communities in rural Peru-ten Quechua-speaking communities in Southern Cuzco and three Shipibo-speaking communities in Ucayali regions. We investigate the communities' level of preparedness for the crisis by eliciting answers based on the World Health Organization COVID 'MythBusters' in a form of a semi-structured interview. Interviews were transcribed, translated, and analyzed in search of the effect of three variables: gender (male/female), language group (Shipibo/Quechua), and proficiency in the Indigenous language (from 0 to 4). Data reveal that all three variables have some effect on the target comprehension of COVID-related messages. Additionally, we explore other possible explanations.

Health Literacy and Difficulty Accessing Information About the COVID-19 Pandemic Among Parents Who Are Deaf and Hard-of-Hearing

People who are deaf and hard-of-hearing (DHH) struggle with information marginalization and limited health literacy, challenging their ability to access information on preventing coronavirus disease 2019 (COVID-19). This study assessed the relationship between language preference, health literacy, and COVID-19 information barriers among parents who are DHH in the United States. Data were drawn from a larger study focused on individuals who are DHH who had given birth in the past 10 years. Respondents completed a web-based survey between March 2020 and July 2021. We segmented respondents by language preference [i.e., American Sign Language (ASL), English, or bilingual ASL/English] and used logistic regression models to test the hypothesis that language preference and health literacy were both associated with COVID-19 information marginalization. Of the total sample (N = 417), approximately 17% had limited health literacy, and 22% reported experiencing difficulty accessing information about COVID-19. In adjusted analyses, respondents with limited health literacy ([adjusted odds ratio] aOR = 2.245) and Hispanic ethnicity (aOR = 2.149) had higher risk of reporting information access barriers. There was no association between language preference and reporting COVID-19 information barriers. However, individuals who are DHH with limited health literacy were at higher risk of experiencing information marginalization during the ongoing COVID-19 pandemic, highlighting the need for tailored information based on access needs. [HLRP: Health Literacy Research and Practice. 2022;6(4):e310-e315.].

Deaf adults at higher risk for severe illness: COVID-19 information preference and perceived health consequences

OBJECTIVES

This study explores deaf and hard of hearing (DHH) individuals' preferred sources of information for COVID-19 and their perceptions of developing severe illness from COVID-19 given underlying medical conditions.

METHODS

A national online bilingual American Sign Language/English survey was conducted from April 17 to May 1, 2020. Weighted sample of 474 DHH adults living in the United States. Multivariate logistic regression analyses were conducted to examine independent associations of sociodemographic variables and health indicators with perceived COVID-19 health consequences.

RESULTS

About 44% of the medical condition sample used the Internet (English-based text) first for COVID-19 information, followed by TV (24%). Only 1% selected healthcare provider as the go-to source; the remainder got information from family or friends. Perceived health consequences increased with age (adjusted OR = 1.04; CI 95% = 1.02, 1.06). At-risk respondents who self-identified as persons of color were nearly three times more likely to believe that their health will be severely affected by COVID-19 compared to respondents who self-identified as white (adjusted OR = 2.94; CI 95% = 1.20, 7.18).

CONCLUSIONS

Perception of COVID-19 health consequences vary among DHH adults at higher risk for severe illness.

PRACTICE IMPLICATIONS

Information delivery methods must be flexible and comprehensive to meet the diverse community's needs, especially during the COVID-19 pandemic.

Using Gaze Tracking as a Research Tool in the Deaf Health Literacy and Access to Health Information Project: Protocol for a Multisite Mixed Methods Study and Preliminary Results

BACKGROUND

Previous studies have identified the internet as a major source of health information. Reliable and accessible sources of web-based health information are critical for cultivating patient-centered care. However, the accessibility and use of web-based health information remains largely unknown for deaf individuals. We used gaze-tracking technology to understand the navigation and use of web-based health information by deaf adults who communicate with sign language and by hearing adults.

OBJECTIVE

This paper discusses our protocol for implementing gaze-tracking technology in a study that included both deaf and hearing participants. We report the preliminary results and lessons learned from the implementation of the protocol.

METHODS

We conducted gaze-tracking sessions with 450 deaf signers and 450 hearing participants as a part of a larger, multisite mixed methods research study. Then, we conducted qualitative elicitation interviews with a subsample of 21 deaf and 13 hearing participants, who engaged in a search task and reviewed their gaze recordings. To our knowledge, no study has implemented a similar research protocol to better understand the experiences of deaf adults. As such, we also examined research staff notes and observations from team meetings regarding the conduct of gaze-tracking data to delineate lessons learned and best practices for research protocols in this area.

RESULTS

Findings from the implementation of this study protocol highlight the use of gaze technology with deaf participants. We developed additional protocol steps to minimize gaze disruption from either lipreading or communicating in sign language. For example, research assistants were often unable to maintain eye contact with participants while signing because of the need to simultaneously point at the computer monitor to provide instructions related to gaze study components, such as the calibration process. In addition to developing ways to effectively provide instructions in American Sign Language, a practice exercise was included in the gaze tracker session to familiarize participants with the computer and technology. The use of the playback feature permitted a deeper dialogue between researchers and participants, which we found vital for understanding the experiences of deaf participants.

CONCLUSIONS

On the basis of our experience using the study protocol through a large research project, incorporating gaze-tracking technology offers beneficial avenues for better understanding how individuals interact with health information. Gaze tracking can determine the type and placement of visual content that attracts attention from the viewers of diverse backgrounds, including deaf individuals. The lessons learned through this study will help future researchers in determining ideal study designs, such as suitable protocols and participant characteristics (eg, deaf signers), while including gaze trackers in their projects. This approach explored how different ways of presenting health information can affect or enable visual learners to engage and use health information effectively.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/26708.