Socioeconomic Status, Family Functioning and Delayed Care Among Children With Special Needs

Parents of children with special healthcare needs (CSHCN) face tremendous stress in caring for their children. Families of CSHCN face increased barriers to health services as evidence also reflects the influence of socioeconomic factors on access. This study investigates the impact of socioeconomic factors and family functioning on delayed care. Descriptive, bivariate, and adjusted multivariate logistic regression were performed using sampling weights. findings suggest that family dynamics are more impactful on delayed care than socioeconomic predictors. Promoting family-centered care that incorporates social support for families to reduce barriers is essential for improved quality of life and health outcomes

A Pantheoretical Framework to Optimize Adherence to Healthy Lifestyle Behaviors and Medication Adherence: The Use of Personalized Approaches to Overcome Barriers and Optimize Facilitators to Achieve Adherence

Patient nonadherence to healthy lifestyle behaviors and medical treatments (like medication adherence) accounts for a significant portion of chronic disease burden. Despite the plethora of behavioral interventions to overcome key modifiable/nonmodifiable barriers and enable facilitators to adherence, short- and long-term adherence to healthy lifestyle behaviors and medical treatments is still poor. To optimize adherence, we aimed to provide a novel mobile health solution steeped in precision and personalized population health and a pantheoretical approach that increases the likelihood of adherence. We have described the stages of a pantheoretical approach utilizing tailoring, clustering/profiling, personalizing, and optimizing interventions/strategies to obtain adherence and highlight the minimal engineering needed to build such a solution

Development and Evaluation of the Clinical Trial HEalth Knowledge and Beliefs Scale (CHEKS).

Patient health literacy is vital to clinical trial engagement. Knowledge and beliefs about clinical trials may contribute to patient literacy of clinical trials, influencing engagement, enrollment and retention. We developed and assessed a survey that measures clinical trial health knowledge and beliefs, known as the Clinical trial HEalth Knowledge and belief Scale (CHEKS). The 31 survey items in CHEKS represent knowledge and beliefs about clinical trial research (n = 409) in 2017. We examined item-scale correlations for the 31 items, eliminated items with item-scale correlations less than 0.30, and then estimated internal consistency reliability for the remaining 25 items. We used the comparative fit index (CFI) and the root mean squared error of approximation (RMSEA) to evaluate model fit. The average age of the sample was 34 (SD = 15.7) and 48% female. We identified 6 of the 31 items that had item-scale correlations (corrected for overlap) lower than 0.30. Coefficient alpha for the remaining 25 items was 0.93 A one-factor categorical confirmatory factor analytic model with 16 correlated errors was not statistically significant (chi-square = 10011.994, df = 300, p < 0.001) but fit the data well (CFI = 0.95 and RMSEA = 0.07). CHEKS can assess clinical trial knowledge and beliefs

Resilience factors, race/ethnicity and sleep disturbance among diverse older females with hypertension

This study examined the relationships between resilience and sleep disturbance in a diverse sample of older women with a history of hypertension and whether this relationship is moderated by individuals' race/ethnicity. Sample includes 700 females from a community-based study in Brooklyn, New York with a mean age of 60.7 years (SD=6.52). Of the participants, 28.1% were born in the U.S.; 71% were African-descent, 17.4% were European and 11.6% were Hispanics descents. Data were gathered on demographics and sleep disturbance using the Comprehensive Assessment and Referral Evaluation (CARE) and the Stress Index Scale (SIS). Resilience Factors were assessed with both the Index of Self-Regulation of Emotion (ISE) and religious health beliefs. Chi-Square, Anova, Student t-tests, and multilinear regression analysis were conducted to explore associations between resilience factors and sleep disturbance. Associations between resilience factors and sleep disturbance were examined using stratified multilinear regression analysis in three models by race/ethnicity. Regression models was conducted examining the interaction between resilience factors and stress RESULTS: Resilience factor, ISE emerged as the strongest independent predictor of sleep disturbance [B(SE) = -0.368(0.008); p < .001] for African descents. ISE was not a significant predictor of sleep disturbance among Hispanic participants [B(SE) = -0.218(0.022);p = .052], however interaction effect analysis revealed that stress level moderates significantly the relationship between ISE, and their sleep disturbance [B(SE) = 0.243(0.001);p = .036]. Results of our study suggest that resilience factors might be a more important protective factor for sleep disturbance among diverse older females

Differences in breast and cervical cancer screening among U.S. women by nativity and family history

Introduction: System-level factors such as poor access to health services can help explain differential uptake in breast and cervical cancer screening between U.S.- and foreign-born women. However, few studies have explored the roles of family history and perceived risk of these cancers on screening rates. To address these gaps, this study investigates whether a family history of cancer, perceived risk, and system-level factors independently and additively predict differential screening rates of breast and cervical cancer between U.S.-born and foreign-born women living in the U.S. Methods: Data were analyzed in 2019 from the 2015 National Health Interview Survey. Descriptive and multivariable logistic regression modeling was performed to test whether there were differences in breast and cervical cancer screening within and between the 2 groups and whether family history of cancer and perceived risk of breast cancer were predictors of uptake. Results: The sample comprised women aged 21−74 years (n=14,047). The mean age of the sample was 45.5 (SD=14.8 years). The majority of the women were U.S.-born (77.5%). U.S.- and foreign-born women had more mammograms and Pap tests with a usual source of care (p<0.001) and insurance (p<0.001). Healthcare access and utilization factors were also predictive for both groups of women. Data analyses were conducted in 2019. Conclusions: These findings are consistent with previous work. Access and healthcare utilization were associated with screening uptake. However, differences in risk perception, family history of breast and cervical cancers, and screening uptake were found between U.S.- and foreign-born women.Journal ArticlePublishe