Frimpong Akua, Granados Alvaro, Chang Thomas, Fu Julia, Moore Shannan G, Applebaum Serina, Adepoju Bolatito, Kaur Mahima, Hari Krishnan Vignesh, Levi Amanda, McCall Terika, Nwanyanwu Kristen Harris
Department of Ophthalmology and Visual Science, Yale University, 300 George Street, New Haven, CT, 06511, United States, 1 2037763539.
Larner College of Medicine, School of Medicine, University of Vermont, Burlington, VT, United States.
JMIR Form Res. 2025 Jun 13;9:e65893. doi: 10.2196/65893.
Diabetic retinopathy (DR) is a leading cause of preventable blindness among working-aged adults. Black, Latine, and low-income individuals are screened less for DR, diagnosed later, treated less often, and go blind more than White individuals.
This study aimed to engage members to co-design a digital health tool that is accessible, user-friendly, and culturally relevant, through a community-led research approach,.
Using a qualitative approach, we conducted 4 semistructured focus group interviews with 19 individuals from the Greater New Haven area, aged 18 years or older, and diagnosed with diabetes. We transcribed and coded the focus group interviews and categorized them into themes using affinity mapping. The specific aims were to complete a comprehensive needs assessmen for the development of a community-responsive digital health tool and to increase access to information about DR screening in high-risk populations. We transcribed the focus group interviews, used rapid qualitative analysis to generate themes, and completed affinity mapping to identify content and features for a digital health tool for preventing blindness from DR.
We interviewed 19 individuals (68% [13/19] female, 47% [9/19] Black, 26% [5/19]) Hispanic) in 4 focus groups. Over 80% (15/19) had access to smart devices, including smartphones (17/19, 89%), smartwatches (4/19, 21%), computers (14/19, 74%), and tablets (11/19, 58%). Many participants had access to multiple devices (17/19, 89%). Participants self-reported hemoglobin A1c (mean hemoglobin A1c 6.77, SD 1.93) and age (mean age 58.79, SD 19.54). Education levels among participants varied. Almost half of all the participants (9/19, 47%) completed some college, a little less than a quarter (4/19, 21%) achieved a high school diploma or general education development certificate, and a little less than a quarter (4/19, 21%) completed less than a high school equivalent of education. Household income levels across nearly all participants (14/19, 74%) were below US $50,000, but household size data were not collected. Participants reported extensive experience with diabetes or prediabetes (mean years with diabetes or prediabetes 17.06, SD 17.53). The themes obtained from coding focus group interviews included the mental toll of diabetes, peer support like accountability and local community events, education about diabetes management, barriers to DR screening like long wait times for appointments or cost of medications, and diet-related topics like how to find cost-effective healthy food.
DR is one of the leading causes of blindness, and many treatments exist. Despite the existence of treatments, historically marginalized populations experience poor health outcomes, including blindness. Our community-based approach aids in the creation of a culturally responsive digital health tool.
糖尿病视网膜病变(DR)是工作年龄成年人可预防失明的主要原因。黑人、拉丁裔和低收入人群接受DR筛查的次数较少,诊断较晚,治疗频率较低,失明的情况比白人更多。
本研究旨在通过社区主导的研究方法,让成员共同设计一种易于获取、用户友好且具有文化相关性的数字健康工具。
我们采用定性方法,对来自大纽黑文地区的19名18岁及以上且被诊断患有糖尿病的个体进行了4次半结构化焦点小组访谈。我们对焦点小组访谈进行了转录和编码,并使用亲和图将其分类为主题。具体目标是为开发一个社区响应型数字健康工具完成全面的需求评估,并增加高危人群获取DR筛查信息的机会。我们转录了焦点小组访谈内容,使用快速定性分析生成主题,并完成亲和图以确定预防DR导致失明的数字健康工具的内容和功能。
我们在4个焦点小组中采访了19名个体(68%[13/19]为女性,47%[9/19]为黑人,26%[5/19]为西班牙裔)。超过80%(15/19)的人可以使用智能设备,包括智能手机(17/19,89%)、智能手表(4/19,21%)、电脑(14/19,74%)和平板电脑(11/19,58%)。许多参与者可以使用多种设备(17/19,89%)。参与者自我报告了糖化血红蛋白(平均糖化血红蛋白6.77,标准差1.93)和年龄(平均年龄58.79,标准差19.54))。参与者的教育水平各不相同。几乎一半的参与者(9/19,47%)完成了一些大学学业,略少于四分之一(4/19,21%)获得了高中文凭或普通教育发展证书,略少于四分之一(4/19,2%)完成的教育水平低于高中同等学历。几乎所有参与者(14/19,74%)的家庭收入水平低于5万美元,但未收集家庭规模数据。参与者报告了丰富的糖尿病或糖尿病前期经历(平均患糖尿病或糖尿病前期的年数为17.06,标准差17.53)。从焦点小组访谈编码中获得的主题包括糖尿病的精神负担、同伴支持(如问责制和当地社区活动)、糖尿病管理教育、DR筛查的障碍(如预约等待时间长或药物成本)以及与饮食相关的话题(如如何找到经济实惠的健康食品)。
DR是失明的主要原因之一,并且有许多治疗方法。尽管存在治疗方法,但历史上被边缘化的人群健康状况不佳,包括失明。我们基于社区的方法有助于创建一个具有文化响应性的数字健康工具。