Person:

Percac-Lima, Sanja

Background: Women of low socioeconomic status (SES) diagnosed with early stage breast cancer are less likely to be involved in treatment decisions. They tend to report higher decisional regret and poorer communication. Evidence suggests that well-designed encounter decision aids (DAs) could improve outcomes and potentially reduce healthcare disparities. Our goal was to evaluate the acceptability and feasibility of encounter decision aids (Option Grid, Comic Option Grid, and Picture Option Grid) adapted for a low-SES and low-literacy population. Methods: We used a multi-phase, mixed-methods approach. In phase 1, we conducted a focus group with rural community stakeholders. In phase 2, we developed and administered a web-based questionnaire with patients of low and high SES. In phase 3, we interviewed patients of low SES and relevant healthcare professionals. Results: Data from phase 1 (n = 5) highlighted the importance of addressing treatment costs for patients. Data from phase 2 (n = 268) and phase 3 (n = 15) indicated that using both visual displays and numbers are helpful for understanding statistical information. Data from all three phases suggested that using plain language and simple images (Picture Option Grid) was most acceptable and feasible. The Comic Option Grid was deemed least acceptable. Conclusion: Option Grid and Picture Option Grid appeared acceptable and feasible in facilitating patient involvement and improving perceived understanding among patients of high and low SES. Picture Option Grid was considered most acceptable, accessible and feasible in the clinic visit. However, given the small sample sizes used, those findings need to be interpreted with caution. Further research is needed to determine the impact of pictorial and text-based encounter decision aids in underserved patients and across socioeconomic strata.

Background/Aim Given the need for access to patient-facing materials in multiple languages, this study aimed to develop and pilot test an accurate and understandable translation of CollaboRATE, a three-item patient-reported measure of shared decision-making, for Spanish-speaking patients in the United States (US). Method We followed the Translate, Review, Adjudicate, Pre-test, Document (TRAPD) survey translation protocol. Cognitive interviews were conducted with Spanish-speaking adults within an urban Massachusetts internal medicine clinic. For the pilot test, all patients with weekday appointments between May 1 and May 29, 2015 were invited to complete CollaboRATE in either English or Spanish upon exit. We calculated the proportion of respondents giving the best score possible on CollaboRATE and compared scores across key patient subgroups. Results: Four rounds of cognitive interviews with 26 people were completed between January and April 2015. Extensive, iterative refinements to survey items between interview rounds led to final items that were generally understood by participants with diverse educational backgrounds. Pilot data collection achieved an overall response rate of 73 percent, with 606 (49%) patients completing Spanish CollaboRATE questionnaires and 624 (51%) patients completing English CollaboRATE questionnaires. The proportion of respondents giving the best score possible on CollaboRATE was the same (86%) for both the English and Spanish versions of the instrument. Discussion Our translation method, guided by emerging best practices in survey and health measurement translation, encompassed multiple levels of review. By conducting four rounds of cognitive interviews with iterative item refinement between each round, we arrived at a Spanish language version of CollaboRATE that was understandable to a majority of cognitive interview participants and was completed by more than 600 pilot questionnaire respondents.