Search

BackgroundEmbedding evidenced-based programs (EBPs) like PEARLS outside clinical settings can help reduce inequities in access to depression care. Trusted community-based organizations (CBOs) reach older adults who are underserved; however, PEARLS adoption has been limited. Implementation science has tried to close this know-do gap, however a more intentional focus on equity is needed to engage CBOs. We partnered with CBOs to better understand their resources and needs in order to design more equitable dissemination and implementation (D&I) strategies to support PEARLS adoption.MethodsWe conducted 39 interviews with 24 current and potential adopter organizations and other partners (February–September 2020). CBOs were purposively sampled for region, type, and priority older populations experiencing poverty (communities of color, linguistically diverse, rural). Using a social marketing framework, our guide explored barriers, benefits and process for PEARLS adoption; CBO capacities and needs; PEARLS acceptability and adaptations; and preferred communication channels. During COVID-19, interviews also addressed remote PEARLS delivery and changes in priorities. We conducted thematic analysis of transcripts using the rapid framework method to describe the needs and priorities of older adults who are underserved and the CBOs that engage them, and strategies, collaborations, and adaptations to integrate depression care in these contexts.ResultsDuring COVID-19, older adults relied on CBO support for basic needs such as food and housing. Isolation and depression were also urgent issues within communities, yet stigma remained for both late-life depression and depression care. CBOs wanted EBPs with cultural flexibility, stable funding, accessible training, staff investment, and fit with staff and community needs and priorities. Findings guided new dissemination strategies to better communicate how PEARLS is appropriate for organizations that engage older adults who are underserved, and what program components are core and what are adaptable to better align with organizations and communities. New implementation strategies will support organizational capacity-building through training and technical assistance, and matchmaking for funding and clinical support.DiscussionFindings support CBOs as appropriate depression care providers for older adults who are underserved, and suggest changes to communications and resources to better fit EBPs with the resources and needs of organizations and older adults. We are currently partnering with organizations in California and Washington to evaluate whether and how these D&I strategies increase equitable access to PEARLS for older adults who are underserved.

IntroductionOrganizational readiness to change may be a key determinant of implementation success and a mediator of the effectiveness of implementation interventions. If organizational readiness can be reliably and validly assessed at the outset of a change initiative, it could be used to assess the effectiveness of implementation-support activities by measuring changes in readiness factors over time.MethodsWe analyzed two waves of readiness-to-change survey data collected as part of a three-arm, randomized controlled trial to implement evidence-based health promotion practices in small worksites in low-wage industries. We measured five readiness factors: context (favorable broader conditions); change valence (valuing health promotion); information assessment (demands and resources to implement health promotion); change commitment (an intention to implement health promotion); and change efficacy (a belief in shared ability to implement health promotion). We expected commitment and efficacy to increase at intervention sites along with their self-reported effort to implement health promotion practices, termed wellness-program effort. We compared means between baseline and 15 months, and between intervention and control sites. We used linear regression to test whether intervention and control sites differed in their change-readiness scores over time.ResultsOnly context and change commitment met reliability thresholds. Change commitment declined significantly for both control (−0.39) and interventions sites (−0.29) from baseline to 15 months, while context did not change for either. Only wellness program effort at 15 months, but not at baseline, differed significantly between control and intervention sites (1.20 controls, 2.02 intervention). Regression analyses resulted in two significant differences between intervention and control sites in changes from baseline to 15 months: (1) intervention sites exhibited significantly smaller change in context scores relative to control sites over time and (2) intervention sites exhibited significantly higher changes in wellness program effort relative to control sites.DiscussionContrary to our hypothesis, change commitment declined significantly at both Healthlinks and control sites, even as wellness-program effort increased significantly at HealthLinks sites. Regression to the mean may explain the decline in change commitment. Future research needs to assess whether baseline commitment is an independent predictor of wellness-program effort or an effect modifier of the HealthLinks intervention.

Objectives. To determine whether (1) participating in HealthLinks , and (2) adding wellness committees to HealthLinks increases worksites' evidence-based intervention (EBI) implementation. Methods. We developed HealthLinks to disseminate EBIs to small, low-wage worksites. From 2014 to 2017, we conducted a site-randomized trial in King County, Washington, with 68 small worksites (20-200 employees). We assigned worksites to 1 of 3 arms: HealthLinks , HealthLinks plus wellness committee ( HealthLinks+ ), or delayed control. At baseline, 15 months, and 24 months, we assessed worksites' EBI implementation on a 0% to 100% scale and employees' perceived support for their health behaviors. Results. Postintervention EBI scores in both intervention arms ( HealthLinks and HealthLinks+ ) were significantly higher than in the control arm at 15 months (51%, 51%, and 23%, respectively) and at 24 months (33%, 37%, and 24%, respectively; P  < .001). Employees in the intervention arms perceived greater support for their health at 15 and 24 months than did employees in control worksites. Conclusions. HealthLinks is an effective strategy for disseminating EBIs to small worksites in low-wage industries. Public Health Implications. Future research should focus on scaling up HealthLinks , improving EBI maintenance, and measuring impact of these on health behavior.