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The community readiness model (CRM) is a stage-matched assessment protocol to assess community readiness to address a public health issue. To identify appropriate, culturally sensitive, and community-specific intervention strategies for preventing obesity in children, researchers, and community members formed a partnership to address childhood obesity within one American Indian Reservation. The CRM guided 30 interviews in five communities to direct the team’s efforts in addressing obesity among children residing on the reservation. Interviews were scored across six dimensions on an anchored scale of one through nine; scores were then averaged to determine an overall readiness score for each community. A thematic analysis of interview responses aided in interpretation of the readiness scores and identified areas for prevention planning and intervention development. The overall community readiness score for the communities was 2.9 (SD = 0.5), which falls between 2 (denial/resistance) and 3 (vague awareness) on the anchored rating scale. The thematic analysis resulted in a hierarchal classification scheme with six broad themes that corresponded to the CRM dimensions and 13 sub-themes. The low readiness scores directed the team to implement corresponding strategies to increase awareness, while the thematic analysis suggested that action-based approaches might also be appropriate. The narrow range of scores suggest that community-wide assessments may be sufficient unless specific information is needed for each region of the community. The CRM may be an effective way to assess community readiness to address childhood obesity on an American Indian Reservation.

Introduction Sleep is essential for overall health and well-being, yet more than one-third of adults report inadequate sleep. The prevalence is higher among people with psoriasis, with up to 85.4% of the psoriatic population reporting sleep disruption. Poor sleep among psoriasis patients is particularly concerning because psoriasis is independently associated with many of the same comorbidities as sleep dysfunction, including cardiovascular disease, obesity, and depression. Given the high prevalence and serious consequences of disordered sleep in psoriasis, it is vital to understand the nature of sleep disturbance in this population. This study was designed to help meet this need by using survey data from Citizen Pscientist, an online patient portal developed by the National Psoriasis Foundation. Methods Our analysis included 3118 participants who identified as having a diagnosis by a physician of psoriasis alone or psoriasis with psoriatic arthritis. Demographic information, psoriasis severity and duration, sleep apnea status, smoking and alcohol consumption, itch timing, and sleep characteristics were included. Two separate multivariate logistic regression models in STATA were used to determine whether the presence of psoriatic arthritis, age, gender, body mass index, comorbid sleep apnea, psoriasis severity, timing of worst itch, smoking status, or high-risk alcohol consumption were associated with sleep difficulty or low sleep quantity, defined by the American Academy of Sleep Medicine as less than 7 h of sleep per night on average. Results Results from the multivariate logistic regressions found that sleep difficulty was associated with psoriatic arthritis (OR 2.15, 95% CI [1.79–2.58]), female gender (2.03 [1.67–2.46]), obese body mass index (BMI ≥ 30) (1.25 [1.00–1.56]), sleep apnea (1.41 [1.07–1.86]), psoriasis severity of moderate (1.59 [1.30–1.94]) or severe (2.40 [1.87–3.08]), and smoking (1.60 [1.26–2.02]). Low sleep quantity was associated with obese BMI (1.62 [1.29–2.03]), sleep apnea (1.30 [1.01–1.68]), psoriasis severity of moderate (1.41 [1.16–1.72]) or severe (1.40 [1.11–1.76]), and smoking (1.62 [1.31–2.00]). Sleep difficulty and low sleep quantity were not associated with age, alcohol consumption, or timing of worst itch. Conclusion These results are potentially meaningful in several aspects. We identify an important distinction between sleep difficulty and sleep quantity in psoriatic disease, whereby having psoriatic arthritis and being female are each associated with sleep difficulty despite no association with low sleep quantity. Furthermore, there is conflicting evidence from prior studies as to whether psoriasis severity is associated with sleep difficulty, but this well-powered, large study revealed a strong, graded relationship between psoriasis severity and both sleep difficulty and low sleep quantity. Overall, our results show that both sleep difficulty and low sleep quantity were associated with multiple factors in this analysis of a large psoriatic cohort. These findings suggest that dermatologists may gather clinically useful information by screening psoriatic patients for trouble sleeping and low sleep quantity to identify potential comorbidities and to more effectively guide disease management.

Introduction To design and implement a novel cloud-based digital platform that allows psoriatic patients and researchers to engage in the research process. Methods Citizen Pscientist (CP) was created by the National Psoriasis Foundation (NPF) to support and educate the global psoriatic disease community, where patients and researchers have the ability to analyze data. Psoriatic patients were invited to enroll in CP and contribute health data to a cloud database by responding to a 59-question online survey. They were then invited to perform their own analyses of the data using built-in visualization tools allowing for the creation of “discovery charts.” These charts were posted on the CP website allowing for further discussion. Results As of May 2017, 3534 patients have enrolled in CP and have collectively contributed over 200,000 data points on their health status. Patients posted 70 discovery charts, generating 209 discussion comments. Conclusion With the growing influence of the internet and technology in society, medical research can be enhanced by crowdsourcing and online patient portals. Patient discovery charts focused on the topics of psoriatic disease demographics, clinical features, environmental triggers, and quality of life. Patients noted that the CP platform adds to their well-being and allows them to express what research questions matter most to them in a direct and quantifiable way. The implementation of CP is a successful and novel method of allowing patients to engage in research. Thus, CP is an important tool to promote patient-centered psoriatic disease research.

The National Psoriasis Foundation (NPF) is developing an agenda for patient-centered research to help patients and their caregivers make more informed health care decisions by engaging psoriasis patients in prioritizing comparative effectiveness research (CER) topics. The NPF has created a novel patient-centered research platform known as Citizen Pscientist (CP), allowing patients with psoriasis and psoriatic arthritis to register and contribute their health data. The CP Governance Council administered an online 23-question CER survey to the CP community and held a structured meeting on December 3, 2016, with patients and researchers to review CER survey results and discuss patient-centered research priorities. Of the 2,945 patients surveyed, 792 patients responded. Three CER topics were deemed to be of high priority for the research agenda: 1) Treat-to-target therapy for psoriasis, 2) Psoriatic arthritis screening questionnaires for early detection and treatment of psoriatic arthritis, and 3) Comparative effectiveness of home-based phototherapy for psoriasis.