An Innovative Electronic Health Toolkit (Our Whole Lives for Chronic Pain) to Reduce Chronic Pain in Patients With Health Disparities: Open Clinical Trial

BACKGROUND: Chronic pain affects millions of Americans. Our Whole Lives, an electronic health (eHealth) toolkit for Chronic Pain (Our Whole Lives for Chronic Pain [OWLCP]), is a mind-body chronic pain management platform that teaches self-management strategies to reduce pain impact and pain medication use. OBJECTIVE: The primary goal of this study was to evaluate the feasibility of OWLCP in reducing pain impact and pain-related outcomes. METHODS: We conducted a pre-post clinical study (2 cohorts) to assess the feasibility of OWLCP usage among low-income patients with chronic pain. Outcome data, collected at baseline and 9 weeks, included Patient-Reported Outcomes Measurement Information System (PROMIS-29), pain self-efficacy, and pain medication use. In the statistical analysis, we used descriptive statistics, logistic regression, linear regression, and qualitative methods. RESULTS: Among the enrolled 43 participants, the average age was 50 years, (39/43) 91% were female, (16/43) 37% were black, and (7/43) 16% were Hispanic. From baseline to follow-up, the PROMIS measures showed a reduction in depression (P=.02), pain interference (P=.003), and average pain impact score (P=.007). Pain self-efficacy increased ((P \u3c .001), whereas opioid use had a 13% reduction (P=.03). CONCLUSIONS: The eHealth chronic pain management platform, OWLCP, is a potential tool to reduce the impact of chronic pain for low-income racially diverse populations

Developing a Peer-to-Peer mHealth Application to Connect Hispanic Cancer Patients

Purpose: Cancer and its treatment can significantly impact health-related quality of life (HRQOL) [29, 4], particularly for Hispanics [8, 17]. Moreover, providers of cancer support for this population may encounter unique challenges. Grounded in social capital theory, this study identified Spanish-speaking, Hispanic breast cancer survivor support needs and preferences for a mHealth intervention. Methods: A user-centered, community-engaged research design was employed, consisting of focus groups made up of constituents from a local Hispanic-serving, cancer support organization. Focus group audio-recordings, translated into English, were coded using a grounded theory analytic approach. First, lead researchers read the complete transcripts to obtain a general sense of the discussion. Next, coding rules were established (e.g., code at the most granular level; double and triple code if necessary, code exhaustively) and initial codebook was created through open-coding. Three new coders were trained to establish requisite kappa statistic levels (≥.70) for inter-rater reliability. With training and discussion, kappa estimates reached .81-.88. Results: Focus group (n=31) results revealed a mHealth intervention targeting Hispanic cancer patients should not only offer information and support on disease/treatment effects, but also respond to the individual’s HRQOL, particularly emotional and social challenges. Specifically, participants expressed a strong desire for Spanish content and to connect with others who had gone through a similar experience. Overall, participants indicated they would have access to and would use such an intervention. Conclusions: Findings indicate positive support for a mHealth, tool, which is culturally tailored to Spanish-speakers, is available in Spanish, and connects cancer patients with survivors

Defining the role of common variation in the genomic and biological architecture of adult human height

Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ∼2,000, ∼3,700 and ∼9,500 SNPs explained ∼21%, ∼24% and ∼29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/β-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants