RESUMO
BACKGROUND: Adults with heart failure (HF) experience a constellation of symptoms; however, understanding of gender differences in HF symptoms remain elusive. The aim of this study was to determine whether there are gender differences in physical and depressive symptoms and symptom patterns in HF using 2 different analytic techniques. METHODS: We performed a secondary analysis of combined data from 6 studies of adults with HF. Physical symptoms were measured with the HF Somatic Perception Scale, and depressive symptoms were measured with the Patient Health Questionnaire-9. First, we performed propensity matching with the nearest neighbor to examine the average treatment effect for HF Somatic Perception Scale and Patient Health Questionnaire-9 in the matched sample of women and men. Next, we used the entire data set in a latent class mixture model to determine patterns of symptoms. Finally, we calculated predictors of class membership with multinomial logistic regression. RESULTS: The sample (n = 524, 86.5% systolic HF) was 37% women with a mean age of 58.3 ± 13.9 years and mean number of years with HF of 6.9 ± 6.9. Three hundred sixty-six participants were matched on propensity scores; there were no significant gender differences in symptom scores between matched women (n = 183) and men (n = 183). Among all 524 participants, 4 distinct latent classes of symptom patterns indicate that many patients with HF are fatigued, some have more depressive symptoms, and others have significantly more edema or cough. Gender did not predict membership to any symptom pattern. CONCLUSIONS: There were significant gender differences in sociodemographics, health behaviors, and clinical characteristics, but not HF symptoms or symptom patterns, using either analytic technique.
RESUMO
BACKGROUND: Because of the COVID-19 pandemic, our research team quickly pivoted from planned face-to-face interaction with participants to virtual interactions. During this transition, we discovered invaluable new practices for conducting research remotely, including collecting physiological data. OBJECTIVE: Our objective was to describe the methodological challenges we encountered when conducting this research virtually with grandparent-grandchild dyads and describe the strategies we developed to overcome those challenges. Of primary focus were procedures for finger-stick blood sample collection. Of secondary focus were procedures for conducting virtual-based research with older adults and across multiple generations. METHODS: During an observational study utilizing a virtual platform with 11 grandparent-grandchild dyads (mean age: 64.2 ± 5.0 years for grandparents and 9.3 ± 1.9 years for grandchildren), we documented lessons learned (based on the discussion within our team and feedback we have received from participants) that could be applicable for other, similar research endeavors. RESULTS: We found several challenges in collecting blood samples, including staff were unfamiliar with providing online instruction and participants needed to develop familiarity with the blood sample collection process (without having in-person assistance), and we had to develop methods for delivering blood sample collection kits to participants safely. We also found that it took longer than expected to run procedures-a challenge that might be encountered when conducting any type of dyadic research utilizing a virtual platform-particularly involving older adults and across multiple generations. In addition, it was challenging to keep child participants engaged in the virtual interactions. We document how we employed targeted strategies to overcome those obstacles. Recommendations for strategies from our team include to provide comprehensive and clear instruction/materials on blood sampling procedure, offer generous support throughout the blood collection process, be prepared to divide study visits into more than one session as needed, proactively anticipate potential roadblocks, and carefully consider the participants' developmental stages and attention span. DISCUSSION: The insights we gained will help inform future research with grandparent-grandchild dyads in remote or rural populations utilizing virtual platforms.