OES is a valuable instrument to measure the orofacial appearance construct for Spanish-speaking populations. OES was concluded to be unidimensional with excellent score reliability and sufficient convergent score validity when compared with other Orofacial Appearance measures. Our results suggest that OES could be used in Spanish-speaking patients, an important and growing population around the globe.

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Objective To test validity and reliability of the Spanish version of the 5‐item Oral Health Impact Profile (OHIP‐Sp5). Methods Spanish‐speaking dental patients (n = 331, response rate = 61%, age: 42.9 + 12.3 years, 59% female) with a scheduled appointment at HealthPartners dental clinics in Minnesota, USA, were investigated. To assess score reliability, we computed Cronbach’s alpha, expecting ‘good’ reliability (alpha > 0.70). To assess score validity, we correlated the OHIP‐Sp5 summary score with five OHRQoL measures [49‐ and 14‐item OHIP‐Sp, the Spanish version of the General Oral Health Assessment Index (GOHAI‐Sp), the Spanish version of the Oral Impacts on Daily Performances (OIDP‐Sp) and a Global Oral Health Assessment]. We expected a pattern of ‘very large’ (r > 0.70) correlation coefficients for OHIP‐Sp5 relationships with the two longer OHIP‐Sp versions and ‘large’ (r > 0.50) correlation coefficients for the other three measures. Results Patients had a mean OHIP‐Sp5 score of 3.7 (SD = 4.0). The Instrument’s reliability was, as expected, ‘good’, according to the Cronbach’s alpha statistic of 0.83. The Instrument’s validity was supported by the expected pattern of validity coefficients. OHIP‐Sp5 summary scores correlated with OHIP‐Sp14 as well as with OHIP‐Sp49 (both r = 0.95: ‘very large’ effect) and with GOHAI‐Sp, OIDP and the Global Oral Health Assessment with r = −0.80, 0.73, and −0.56 (absolute effect magnitude all ‘very large’ or ‘large’), respectively. Conclusions The Spanish version of OHIP‐5 is a brief and psychometrically sound instrument to measure oral health‐related quality of life (OHRQoL) in Spanish‐speaking populations. It can effectively replace longer OHIP instruments and would be applicable across all settings of clinical practice and research.

Background/Aims: Childhood obesity remains a priority issue for the nation and health systems yet little is known about the effectiveness of pediatric obesity prevention interventions overall and evidence is particularly lacking with regard to prevention in clinical settings. Our aim is to discuss process steps in developing two clinical interventions to prevent obesity and their research designs to evaluate effectiveness. Methods: Two interventions were developed, the first to address early childhood obesity prevention among 0-26 month old children and the second to address prevention among children aged 2-9 years, with intentional overlap to coordinate care. A team, comprised of pediatric clinical operations, clinical innovations, research, eHealth, biostatistics, and external university partners, worked collaboratively to develop each intervention and their respective research designs. Results: Each intervention is delivered at scheduled Well Child Visits with consistent components: 1) parent self-reported data to screen for parenting practices, child behaviors, and home environments; 2) parent engagement via screening and risk prioritization; 3) best practice alerts for providers to aid analytical assessment of risk; 4) primary care provider talking points and a SmartSet of parent educational materials; 5) electronic health record progress note construction; and 6) post-visit education. A cluster randomized design is being used to evaluate the effectiveness of both interventions with 6 clinics assigned to the intervention and 6 matched clinics providing standard care. Process outcomes including intervention fidelity and parent engagement are being examined as well as health outcomes. Data are being collected and will be compared to 12-month indicators to evaluate changes in child weight/ length or BMI-for-age and BMI; child behaviors; and parenting practices. Conclusions: A focus on health system goals, a priority health issue, and principles of the learning health care system engaged internal and external entities to leverage resources and successfully develop and implement pediatric obesity prevention interventions. In addition, two pragmatic trials to examine the implementation and effectiveness of the interventions are underway and will contribute to a gap in the evidence base. Participants were 31-to 78-years-old (M = 57), the majority were female (68 %), white (70%), employed, with some college education. Mean HbA1c preintervention was 9.18. Participants showed significant improvement in prepost measures of HbA1c (change .73%, P = .000), overall mental health (Cohen's-d .69, P = .001), stress (Cohen's-d -.76, P = .001), depression (Cohen's-d .62, P = .001), and anxiety (Cohen's-d .66, P = .001). There was also improvement in two measures of diabetes management: Problem Area in Diabetes Questionnaire (Cohen's-d -.71, P = .002) and the Diabetes Empowerment Scale (Cohen's-d .80, P = .000). Conclusions: These results suggest that MBSR may offer a safe and effective method for helping people better manage d...