Background

Shelter-in-place orders during the COVID-19 pandemic created unmet health-related and access-related needs among older adults. We sought to understand the prevalence of these needs among community-dwelling older adults.

Methods

We performed a retrospective chart review of pandemic-related outreach calls to older adults between March and July 2020 at four urban, primary care clinics: a home-based practice, a safety net adult medicine clinic, an academic geriatrics practice, and a safety net clinic for adults living with HIV. Participants included those 60 or older at three sites, and those 65 or older with a chronic health condition at the fourth. We describe unmet health-related needs (the need for medication refills, medical supplies, or food) and access-related needs (ability to perform a telehealth visit, need for a call back from the primary care provider). We performed bivariate and multivariate analyses to examine the association between unmet needs and demographics, medical conditions, and healthcare utilization.

Results

Sixty-two percent of people had at least one unmet need. Twenty-six percent had at least one unmet health-related need; 14.0% needed medication refills, 12.5% needed medical supplies, and 3.0% had food insecurity. Among access-related needs, 33% were not ready for video visits, and 36.4% asked for a return call from their provider. Prevalence of any unmet health-related need was the highest among Asian versus White (36.4% vs. 19.1%) and in the highest versus lowest poverty zip codes (30.8% vs. 18.2%). Those with diabetes and COPD had higher unmet health-related needs than those without, and there was no change in healthcare utilization.

Conclusions

During COVID, we found that disruptions in access to services created unmet needs among older adults, particularly for those who self-identified as Asian. We must foreground the needs of this older population group in the response to future public health crises.

Background/objectives

Electronic Health (eHealth) tools offer opportunities for people to access health information online; yet, most tools are not designed to meet the unique needs of diverse older adults, leading to health disparities. Our goal was to provide guidance for the development of eHealth tools for diverse older populations for use in geriatric care models.

Design

Guidance for eHealth tools was compiled from user design resources and eHealth design literature. Pragmatic examples were provided from an evidenced-based eHealth tool called PREPAREforYourCare.org (PREPARE). We used quantitative feasibility data from PREPARE research studies and qualitative analysis of PREPARE focus groups, cognitive interviews, and feedback from randomized trials to further inform our recommendations.

Results

Guidance and lessons learned include: (1) define clear objectives and a conceptual framework; (2) co-create with the target population; (3) optimize the design and layout for accessibility and ease of use, such as text at the 5th grade reading level, closed captioning, etc.; (4) use simple, standardized navigation design; (5) use actionable information to enhance behavior change, such as modeling of behaviors; (6) align accompanying written materials with the eHealth tool; and (7) create tracking mechanisms for ongoing user feedback. PREPARE is used as a case example to provide pragmatic illustrations for how the guidance may be operationalized.

Conclusion

eHealth tools can be tailored to the unique characteristics, preferences, and needs of diverse older populations. Following the "lessons learned" may help decrease health disparities among diverse older adults and ensure eHealth tools are readily accessible and culturally appropriate.