Niurka Suero-Tejeda

Information, communication, and online tool needs of Hispanic family caregivers of individuals with Alzheimer’s disease and related dementias

ABSTRACT Purpose: To identify the information and communication needs of Hispanic family caregivers for individuals with Alzheimer’s Disease and Related Dementias (ADRD) and the manner in which online tools may meet those needs. Methods: We conducted 11 participatory design sessions with 10 English- and 14 Spanish-speaking urban-dwelling Hispanic family caregivers and gathered data using a survey, collage assemblage, and audio and video recordings. Four investigators analyzed transcripts of audio recordings with a coding framework informed by several conceptual models. Results: Participants had an average age of 59.7 years, were mostly female (79.2%), and had cared for a family member with ADRD for an average of 6.5 years. All participants accessed the Internet at least once a week with 75% ≥ daily. Most used the Internet to look up health information. All participants reported caregiver attributes including awareness of the disease symptoms or behaviors. The majority reported information needs/tasks (91.7%), communication needs/tasks (87.5%), and need for online tools (79.2%). Conclusion: Hispanic caregivers of individuals with ADRD reported key information and communication needs/tasks. Only Spanish-speaking participants reported Internet and technology use deficits suggesting the requirement for further technology support. Data show a need for online tools to meet the needs of caregivers.

The Influence of Latino Symptom Experience on Participation in Usual Activities and Satisfaction With Participation in Social Roles

Introduction: Little is known about the Latino symptom experience and how symptoms influence participation in usual activities and satisfaction with participation in social roles. Method: Secondary analysis of survey data collected in community and clinic settings was conducted. Data were collected using Health-Related Quality of Life 30-day items and Patient Reported Outcome Measurement System symptom status scales. Descriptive statistics and univariate linear and multiple linear regression models were computed. Results: Participants (N = 2,974) were primarily female and Dominican. Most surveys were completed in Spanish and in the community setting; and the clinic sample had more symptoms. In the multiple linear regression for participation in usual activities, as the number of days with symptoms increased, the number of days that poor physical or mental health influenced participation in usual activities increased. In addition, for satisfaction with participation in social roles, as the number of days with pain and levels of depression and anxiety increased, the levels of satisfaction decreased. Spanish survey administration was associated with decreased levels of satisfaction; and recruitment setting was not a significant predictor. Conclusion: The study addressed multiple knowledge gaps about the Latino symptom experience.

A Data Mining Approach for Examining Predictors of Physical Activity Among Urban Older Adults.

The current study applied innovative data mining techniques to a community survey dataset to develop prediction models for two aspects of physical activity (i.e., active transport and screen time) in a sample of urban, primarily Hispanic, older adults (N=2,514). Main predictors for active transport (accuracy=69.29%, precision=0.67, recall=0.69) were immigrant status, high level of anxiety, having a place for physical activity, and willingness to make time for physical activity. The main predictors for screen time (accuracy=63.13%, precision=0.60, recall=0.63) were willingness to make time for exercise, having a place for exercise, age, and availability of family support to access health information on the Internet. Data mining methods were useful to identify intervention targets and inform design of customized interventions.