Objective The study sought to characterize institution-wide participation in secure messaging (SM) at a large academic health network, describe our experience with electronic medical record (EMR)–based cohort selection, and discuss the potential roles of SM for research recruitment. Materials and Methods Study teams defined eligibility criteria to create a computable phenotype, structured EMR data, to identify and recruit participants. Patients with SM accounts matching this phenotype received recruitment messages. We compared demographic characteristics across SM users and the overall health system. We also tabulated SM activation and use, characteristics of individual studies, and efficacy of the recruitment methods. Results Of the 1 308 820 patients in the health network, 40% had active SM accounts. SM users had a greater proportion of white and non-Hispanic patients than nonactive SM users id. Among the studies included (n = 13), 77% recruited participants with a specific disease or condition. All studies used demographic criteria for their phenotype, while 46% (n = 6) used demographic, disease, and healthcare utilization criteria. The average SM response rate was 2.9%, with higher rates among condition-specific (3.4%) vs general health (1.4%) studies. Those studies with a more inclusive comprehensive phenotype had a higher response rate. Discussion Target population and EMR queries (computable phenotypes) affect recruitment efficacy and should be considered when designing an EMR-based recruitment strategy. Conclusions SM guided by EMR-based cohort selection is a promising approach to identify and enroll research participants. Efforts to increase the number of active SM users and response rate should be implemented to enhance the effectiveness of this recruitment strategy.

The goal of this longitudinal analysis was to characterize factors associated with the experience of life stress in low-income, inner-city mothers of minority children with high-risk asthma.Participants (n = 276) reported on family demographics, child asthma control and healthcare utilization, social support, contemporary life difficulties (housing, finances, violence exposure) measured by the validated Crisis in Family Systems scale, and daily stress. Latent growth curve modeling examined predictors of life stress across 12 months as a function of home and community difficulties, asthma-specific factors, and social support. Mothers were primarily single (73%), unemployed (55%), and living in extreme poverty with most (73%) reporting an annual family income <$20,000 (73%). The children were young (mean age = 5.59, SD = 2.17), African-American (96%), and had poorly controlled asthma (94%) at study enrollment. Higher daily stress was associated with financial difficulties, safety concerns in the home and community, and housing problems. Access to social support was consistently related to reduced stress. The only asthma-specific factor associated with life stress was healthcare utilization, with more emergency services for asthma related to higher daily stress. Findings underscore the clinical significance of assessing diverse home and community stressors and social support in low-income, inner-city caregivers of children with poorly controlled asthma.

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