Understanding Take-Up Of The Earned Income Tax Credit Among Californians With Low Income.

The Earned Income Tax Credit (EITC) is the largest poverty alleviation program for families with children in the US, and it has well-documented health effects. However, not all eligible families receive benefits. The Assessing California Communities' Experiences with Safety Net Supports (ACCESS) Study interviewed 411 EITC-eligible Californians with young children to understand low take-up of the federal EITC and California's supplemental CalEITC. Interviews were conducted in English and Spanish in 2020 and 2021 to gather information on sociodemographic characteristics, tax filing, and EITC receipt (verified via tax forms). Among those eligible for the EITC or CalEITC, 9 percent of participants did not file taxes; among those who did file taxes, about 84 percent received the EITC, and 83 percent received the CalEITC. Lower likelihood of federal EITC receipt among those eligible and filing taxes was associated with being younger, not speaking English, and not having prior knowledge of the EITC. Lower likelihood of CalEITC receipt among those eligible and filing taxes was associated with not speaking English. These findings can inform policies and community interventions to increase EITC take-up and thereby help address health equity.

Social and Economic Factors Related to Healthcare Delay Among Low-Income Families During COVID-19: Results from the ACCESS Observational Study.

Delayed medical care is a negative consequence of the COVID-19 pandemic for families with young children. Our study used data from the Accessing California Communities' Experiences with Safety net Supports (ACCESS) survey, a cross-sectional study that assessed experiences with safety-net programs among working families with low incomes (n=491). From August 2020 to May 2021, we conducted interviewer-administered surveys of low-income families with young children (ages zero to eight) in California and asked questions about whether participants had delayed medical care for their children or themselves. We found that delaying care for children was associated with lack of childcare and with the child having pre-existing conditions. Delaying parental medical care was associated with lack of childcare, experiences of racism, government mistrust, and perceptions of welfare stigma. These results suggest that health care access may be improved through a focus on supporting childcare systems and addressing structural racism.

Health Information-seeking Behaviors and Preferences of a Diverse, Multilingual Urban Cohort.

INTRODUCTION: In order to address health disparities, it is important to understand how vulnerable individuals seek information. This study used an adapted version of the Health Information National Trends Survey (HINTS) administered in English, Spanish, and Chinese to describe the behaviors and preferences of a diverse group of vulnerable urban residents. METHODS: We administered a modified HINTS survey in English, Spanish, and Chinese and used purposive sampling to ensure 50% were non-English speakers evenly divided between Spanish and Chinese speakers, and 50% of English-speakers identified as Black. We used multivariable logistic regression to determine characteristics associated with sources used for health information and preferences for delivery of health information. RESULTS: Among 1027survey respondents (514 English, 256 Spanish, 260 Chinese), 55% had adequate health literacy, and 50% reported household income <$20,000, but 77% reported owning a smartphone. A plurality sought health information on the Internet (39%) or from a health care provider (36%). In multivariable analyses, smartphone ownership predicted higher odds of seeking health information on the Internet [odds ratio, (OR) 2.98; 95% confidence interval (CI), 1.81-4.91]. Participants most preferred email (41%) and brochures (40%) for delivery of health information, but non-English survey respondents were less likely to prefer email: Spanish (OR, 0.30; 95% CI, 0.11-0.83) and Chinese (OR, 0.25; 95% CI, 0.09-0.71). Smartphone ownership predicted an email preference (OR, 2.19; 95% CI, 1.43-3.36). CONCLUSIONS: Among vulnerable populations, smartphone ownership and language preferences impact preferences for seeking and receiving health information. These preferences need to be considered in designing health messages.

Meaningful use in the safety net: a rapid ethnography of patient portal implementation at five community health centers in California.

OBJECTIVE: US health care institutions are implementing secure websites (patient portals) to achieve federal Meaningful Use (MU) certification. We sought to understand efforts to implement portals in "safety net" health care systems that provide services for low-income populations. MATERIALS AND METHODS: Our rapid ethnography involved visits at 4 California safety net health systems and in-depth interviews at a fifth. Visits included interviews with clinicians and executives ( n = 12), informal focus groups with front-line staff ( n = 35), observations of patient portal sign-up procedures and clinic work, review of marketing materials and portal use data, and a brief survey ( n = 45). RESULTS: Our findings demonstrate that the health systems devoted considerable effort to enlisting staff support for portal adoption and integrating portal-related work into clinic routines. Although all health systems had achieved, or were close to achieving, MU benchmarks, patients faced numerous barriers to portal use and our participants were uncertain how to achieve and sustain "meaningful use" as defined by and for their patients. DISCUSSION: Health systems' efforts to achieve MU certification united clinic staff under a shared ethos of improved quality of care. However, MU's assumptions about patients' demand for electronic access to health information and ability to make use of it directed clinics' attention to enrollment and message routing rather than to the relevance and usability of a tool that is minimally adaptable to the safety net context. CONCLUSION: We found a mismatch between MU-based metrics of patient engagement and the priorities and needs of safety net patient populations.