It is critical to accelerate the integration of evidence-based programs, practices, and strategies for cancer prevention and control into clinical, community, and public health settings. While it is clear that effective translation of existing knowledge into practice can reduce cancer burden, it is less clear how best to achieve this. This gap is addressed by the rapidly growing field of implementation science. Given that context influences and is influenced by implementation efforts, engaging stakeholders in the co-production of knowledge and solutions offers an opportunity to increase the likelihood that implementation efforts are useful, scalable, and sustainable in real-world settings. We argue that a participatory implementation science approach is critical, as it supports iterative, ongoing engagement between stakeholders and researchers to improve the pathway between research and practice, create system change, and address health disparities and health equity. This article highlights the utility of participatory implementation science for cancer prevention and control research and addresses (a) the spectrum of participatory research approaches that may be of use, (b) benefits of participatory implementation science, and

BACKGROUND: Growth of the foreign-born population in the U.S. has led to increasing numbers of limitedEnglish-proficient (LEP) patients. Innovative medical interpreting strategies, including remote simultaneous medical interpreting (RSMI), have arisen to address the language barrier. This study evaluates the impact of interpreting method on patient satisfaction.METHODS: 1,276 English-, Spanish-, Mandarin-, and Cantonese-speaking patients attending the primary care clinic and emergency department of a large New York City municipal hospital were screened for enrollment in a randomized controlled trial. Language-discordant patients were randomized to RSMI or usual and customary (U&C) interpreting. Patients with language-concordant providers received usual care. Demographic and patient satisfaction questionnaires were administered to all participants.RESULTS: 541 patients were language-concordant with their providers and not randomized; 371 were randomized to RSMI, 167 of whom were exposed to RSMI; and 364 were randomized to U&C, 198 of whom were exposed to U&C. Patients randomized to RSMI were more likely than those with U&C to think doctors treated them with respect (RSMI 71%, U&C 64%, p<0.05), but they did not differ in other measures of physician communication/ care. In a linear regression analysis, exposure to RSMI was significantly associated with an increase in overall satisfaction with physician communication/care (β 0.10, 95% CI 0.02-0.18, scale 0-1.0). Patients randomized to RSMI were more likely to think the interpreting method protected their privacy (RSMI 51%, U&C 38%, p<0.05). Patients randomized to either arm of interpretation reported less comprehension and satisfaction than patients in language-concordant encounters. CONCLUSIONS:While not a substitute for languageconcordant providers, RSMI can improve patient satisfaction and privacy among LEP patients. Implementing RSMI should be considered an important component of a multipronged approach to addressing language barriers in health care.

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Background South Asian (SA) taxi drivers potentially possess a double epidemiologic risk for cardiovascular disease (CVD) due to their ethnicity and occupation. This study investigates SA taxi drivers’ knowledge, attitudes, beliefs about general health, CVD and approaches to reduce CVD risk. Method Five focus groups were conducted with 31 SA taxi drivers in the participants’ primary language (Bengali, Hindi, Urdu or Punjabi). Audio-recordings of the sessions were transcribed, translated and entered into ATLAS.ti 6.2 for coding and analysis. Results SA drivers in an urban setting perceive themselves to be at high risk for CVD because of high work-related stress, physical inactivity, poor diet and poor health care access. Participants attributed their occupation to increasing risk for heart disease; none believed that being SA increased their risk. Discussion Interventions to lower CVD risk among SA taxi drivers should be multi-level and involve the individual drivers and the taxi industry.

This study assessed the prevalence and predictors of food insecurity among a cohort of underserved oncology patients at New York City cancer clinics. A demographic survey and the U.S. Household Food Security Survey Module were administered. A multivariate General Linear Model Analysis of Covariance was used to evaluate predictors of food insecurity. 404 completed the surveys. 18% had very low, 38% low, 17% marginal, and 27% high food security. The Analysis of Covariance was statistically significant (F(7, 370) = 19.08; p < 0.0001; R-Square = 0.26). Younger age, Spanish language, poor health care access, and having less money for food since beginning cancer treatment were significantly associated with greater food insecurity. This cohort of underserved cancer patients had rates of food insecurity nearly 5 times that of the state average. More research is needed to better understand the causes and impact of food insecurity among cancer and chronic disease patients.