Faculty Bibliography

Despite higher chronic disease prevalence, minoritized populations live in highly walkable neighborhoods in US cities more frequently than non-minoritized populations. We investigated whether city-level racial residential segregation (RRS) was associated with city-level walkability, stratified by population density, possibly explaining this counterintuitive association. RRS for Black-White and Latino-White segregation in large US cities was calculated using the Index of Dissimilarity (ID), and walkability was measured using WalkScore. Median walkability increased across increasing quartiles of population density, as expected. Higher ID was associated with higher walkability; associations varied in strength across strata of population density. RRS undergirds the observed association between walkability and minoritized populations, especially in higher population density cities.

OBJECTIVE:To evaluate the impact of integrating patient-reported outcomes (PROs) into routine clinics, from the perspective of patients with RA, clinicians and other staff. METHODS:We conducted a prospective cohort study using a mixed methods sequential explanatory design at an academic arthritis clinic. RA patients completed selected Patient-Reported Outcomes Measurement Information System measures on tablets in the waiting room. Results were immediately available to discuss during the visit. Post-visit surveys with patients and physicians evaluated topics discussed and their impact on decision making; patients rated confidence in treatment. Focus groups or interviews with patients, treating rheumatologists and clinic staff were conducted to understand perspectives and experiences. RESULTS:Some 196 patients and 20 rheumatologists completed post-visit surveys at 816 and 806 visits, respectively. Focus groups were conducted with 24 patients, 10 rheumatologists and 4 research/clinic staff. PROs influenced medical decision-making and RA treatment changes (38 and 18% of visits, respectively). Patients reported very high satisfaction and treatment confidence. Impact on clinical workflow was minimal after a period of initial adjustment. PROs were valued by patients and physicians, and provided new insight into how patients felt and functioned over time. Reviewing results together improved communication, and facilitated patient-centred care, shared decision making, and the identification of new symptoms and contributing psychosocial/behavioural factors. CONCLUSION:PRO use at RA visits was feasible, increased understanding of how disease affects how patients feel and function, facilitated shared decision-making, and was associated with high patient satisfaction and treatment confidence.

OBJECTIVES:Classify and describe the policy approaches used by countries to regulate e-cigarettes. METHODS:National policies regulating e-cigarettes were identified by (1) conducting web searches on Ministry of Health websites, and (2) broad web searches. The mechanisms used to regulate e-cigarettes were classified as new/amended laws, or existing laws. The policy domains identified include restrictions or prohibitions on product: sale, manufacturing, importation, distribution, use, product design including e-liquid ingredients, advertising/promotion/sponsorship, trademarks, and regulation requiring: taxation, health warning labels and child-safety standards. The classification of the policy was reviewed by a country expert. RESULTS:The search identified 68 countries that regulate e-cigarettes: 22 countries regulate e-cigarettes using existing regulations; 25 countries enacted new policies to regulate e-cigarettes; 7 countries made amendments to existing legislation; 14 countries use a combination of new/amended and existing regulation. Common policies include a minimum-age-of-purchase, indoor-use (vape-free public places) bans and marketing restrictions. Few countries are applying a tax to e-cigarettes. CONCLUSIONS:A range of regulatory approaches are being applied to e-cigarettes globally; many countries regulate e-cigarettes using legislation not written for e-cigarettes.

BACKGROUND:Previous analyses of Google search queries identified circaseptan (weekly) rhythms in smoking cessation information seeking, with Google searches for "quit" and "smoking" peaking early in the week. Similar patterns were observed for smoking cessation treatment seeking, such as calls to quitlines. These findings suggest that smoking cessation behaviors may have a weekly rhythm that could be leveraged to improve smoking cessation efforts. AIMS/OBJECTIVE:To assess whether weekly enrollment and usage patterns exist for an Internet smoking cessation intervention. METHODS: < 0.00167 due to multiple comparisons. Regression analysis was used to examine differences in engagement activity based on the day of the week a user enrolled. RESULTS: < 0.0001). Generally, there were no significant differences in overall website utilization metrics by day of enrollment, but there were some exceptions. Use of interactive features to select quit dates, track cigarette use, and record coping strategies was generally lower for Friday/Saturday enrollees. CONCLUSIONS:Consistent with prior research, the beginning of the week appears to be a time when individuals are more likely to enroll in an Internet smoking cessation intervention and engage with its core features. Emphasizing marketing and promotional efforts during the beginning of the week could result in greater reach of Internet smoking cessation interventions.

PURPOSE: To evaluate the reliability and validity of 11 PROMIS measures to assess symptoms and impacts identified as important by people with rheumatoid arthritis (RA). METHODS: Consecutive patients (N = 177) in an observational study completed PROMIS computer adapted tests (CATs) and a short form (SF) assessing pain, fatigue, physical function, mood, sleep, and participation. We assessed test-test reliability and internal consistency using correlation and Cronbach's alpha. We assessed convergent validity by examining Pearson correlations between PROMIS measures and existing measures of similar domains and known groups validity by comparing scores across disease activity levels using ANOVA. RESULTS: Participants were mostly female (82%) and white (83%) with mean (SD) age of 56 (13) years; 24% had /= 0.68) with corresponding PROs. Test-retest reliability ranged from .725-.883, and Cronbach's alpha from .906-.991. A dose-response relationship with disease activity was evident in Physical Function with similar trends in other scales except Anger. CONCLUSIONS: These data provide preliminary evidence of reliability and construct validity of PROMIS CATs to assess RA symptoms and impacts, and feasibility of use in clinical care. PROMIS instruments captured the experiences of RA patients across the broad continuum of RA symptoms and function, especially at low disease activity levels. Future research is needed to evaluate performance in relevant subgroups, assess responsiveness and identify clinically meaningful changes.

BACKGROUND:Periodic prompts serve as tools for health behavior interventions to encourage and maintain behavior changes. Past literature reviews have examined periodic messages targeting specific behaviors (smoking, physical activity, diet, etc) or media (telephone, email, face-to-face, newsletter, etc) and have found them to be effective in impacting health behavior in the short term. OBJECTIVE:Our goal was to review the literature related to periodic messaging and prompts in order to explore typical characteristics, assess the role of prompt timing, identify common theoretical models used, and identify characteristics associated with the effectiveness of periodic prompts. METHODS:Electronic searches of PubMed, PsycINFO, CINAHL, and Web of Science were conducted in October 2012 and May 2013. Database search terms included variant terms for periods, prompts, interventions, media, and health behaviors. RESULTS:Forty-two of the 55 included research articles found that prompts resulted in significant positive behavioral outcomes for participants. Prompts were delivered via text messages, email, mailed communications, and in a few instances via phone. Generally, the provision of feedback and specific strategies to accomplish behavior change appears to be important for the success of periodic prompts. Rationale for prompt timing was rarely provided, although some studies did organize message content around days of the week or times perceived to be high risk for particular behaviors. Smoking cessation interventions tended to be organized around quit date. Among studies using theoretical models to inform their interventions, the transtheoretical model was most common. CONCLUSIONS:Periodic messaging interventions yield positive results for short-term health behavior changes. Interventions including feedback and prompts that included strategies were more likely to report significantly positive outcomes. Work remains to better understand elements that make periodic prompts successful and whether they are effective in producing long-term outcomes.

OBJECTIVES/OBJECTIVE:Validated metrics of tobacco dependence exist, but their value for global surveillance of tobacco dependence and development of tobacco control interventions is not well understood. This paper reviews tobacco dependence metrics for non-cigarette products, and whether measures of tobacco dependence have been validated in low-income and middle-income countries (LMIC). DATA SOURCES/METHODS:Searches were conducted in PubMed, Scopus, PsycINFO, EMBASE, CINAHL and Global Health databases using variant terms for types of tobacco, dependence, measures and validity/reliability. Articles discussing dependence theories and/or metrics were fully reviewed and synthesised. STUDY SELECTION/METHODS:Searches yielded 2702 unique articles. Two independent coders identified 587 articles for abstract review, and 229 were subsequently fully reviewed. Findings from 50 eligible papers are summarised. DATA EXTRACTION/METHODS:An initial thematic analysis concentrated on four concepts: general tobacco dependence, dependence metrics, tobacco dependence in LMIC and dependence on non-cigarette tobacco. DATA SYNTHESIS/RESULTS:Analysis identified 14 distinct tobacco dependence instruments. Existing metrics treat tobacco dependence as multifaceted. Measures have been developed almost exclusively around cigarette smoking, although some validation and application across products has occurred. Where cross-national validation has occurred, however, this has rarely included LMIC. CONCLUSIONS:For purposes of global surveillance of tobacco dependence, there is a compelling need for validated measures to apply universally across social contexts and a multitude of tobacco products. Alternatively, effective tobacco control interventions require validated dependence measures that integrate specific behavioural elements and social context of product use. While different measures of dependence are required to fulfil each of these goals, both have value in addressing the global tobacco epidemic.