Background Implementation science is at a sufficiently advanced stage that it is appropriate for the field to reflect on progress thus far in achieving its vision, with a goal of charting a path forward. In this debate, we offer such reflections and report on potential threats that might stymie progress, as well as opportunities to enhance the success and impact of the field, from the perspective of a group of US-based researchers. Main body Ten mid-career extramurally funded US-based researchers completed a “pre-mortem” or a group brainstorming exercise that leverages prospective hindsight to imagine that an event has already occurred and to generate an explanation for it — to reduce the likelihood of a poor outcome. We came to consensus on six key themes related to threats and opportunities for the field: (1) insufficient impact, (2) too much emphasis on being a “legitimate science,” (3) re-creation of the evidence-to-practice gap, (4) difficulty balancing accessibility and field coherence, (5) inability to align timelines and priorities with partners, and (6) overly complex implementation strategies and approaches. Conclusion We submit this debate piece to generate further discussion with other implementation partners as our field continues to develop and evolve. We hope the key opportunities identified will enhance the future of implementation research in the USA and spark discussion across international groups. We will continue to learn with humility about how best to implement with the goal of achieving equitable population health impact at scale.

Background Task shifting is an effective model for increasing access to mental health treatment via lay counselors with less specialized training that deliver care under supervision. Mobile phones may present a low-technology opportunity to replace or decrease reliance on in-person supervision in task shifting, but important technical and contextual limitations must be examined and considered. Objective Guided by human-centered design methods, we aimed to understand how mobile phones are currently used when supervising lay counselors, determine the acceptability and feasibility of mobile phone supervision, and generate solutions to improve mobile phone supervision. Methods Participants were recruited from a large hybrid effectiveness implementation study in western Kenya wherein teachers and community health volunteers were trained to provide trauma-focused cognitive behavioral therapy. Lay counselors (n=24) and supervisors (n=3) participated in semistructured interviews in the language of the participants’ choosing (ie, English or Kiswahili). Lay counselor participants were stratified by supervisor-rated frequency of mobile phone use such that interviews included high-frequency, average-frequency, and low-frequency phone users in equal parts. Supervisors rated lay counselors on frequency of phone contact (ie, calls and SMS text messages) relative to their peers. The interviews were transcribed, translated when needed, and analyzed using thematic analysis. Results Participants described a range of mobile phone uses, including providing clinical updates, scheduling and coordinating supervision and clinical groups, and supporting research procedures. Participants liked how mobile phones decreased burden, facilitated access to clinical and personal support, and enabled greater independence of lay counselors. Participants disliked how mobile phones limited information transmission and relationship building between supervisors and lay counselors. Mobile phone supervision was facilitated by access to working smartphones, ease and convenience of mobile phone supervision, mobile phone literacy, and positive supervisor-counselor relationships. Limited resources, technical difficulties, communication challenges, and limitations on which activities can be effectively performed via mobile phone were barriers to mobile phone supervision. Lay counselors and supervisors generated 27 distinct solutions to increase the acceptability and feasibility of mobile phone supervision. Strategies ranged in terms of the resources required and included providing phones and airtime to support supervision, identifying quiet and private places to hold mobile phone supervision, and delineating processes for requesting in-person support. Conclusions Lay counselors and supervisors use mobile phones in a variety of ways; however, there are distinct challenges to their use that must be addressed to optimize acceptability, feasibility, and usability. Researchers should consider limitations to implementing digital health tools and design solutions alongside end users to optimize the use of these tools. International Registered Report Identifier (IRRID) RR2-10.1186/s43058-020-00102-9

Background Strategies to implement evidence-based interventions (EBIs) in children’s mental health services have complex direct and indirect causal impacts on multiple outcomes. Ripple effects are outcomes caused by EBI implementation efforts that are unplanned, unanticipated, and/or more salient to stakeholders other than researchers and implementers. The purpose of the current paper is to provide a compilation of possible ripple effects associated with EBI implementation strategies in children’s mental health services, to be used for implementation planning, research, and quality improvement. Methods Participants were identified via expert nomination and snowball sampling. Online surveys were completed by 81 participants, each representing one of five roles: providers of mental health services to children or youth, researchers, policy makers, caregivers, and youth. A partially directed conventional content analysis with consensus decision making was used to code ripple effects. Results Four hundred and four unique responses were coded into 66 ripple effects and 14 categories. Categories include general knowledge, skills, attitudes, and confidence about using EBIs; general job-related ripple effects; EBI treatment adherence, fidelity, and alignment; gaming the system; equity and stigma; shifting roles, role clarity, and task shifting; economic costs and benefits; EBI treatment availability, access, participation, attendance, barriers, and facilitators; clinical process and treatment quality; client engagement, therapeutic alliance, and client satisfaction; clinical organization structure, relationships in the organization, process, and functioning; youth client and caregiver outcomes; and use of EBI strategies and insights in one’s own life. Conclusions This research advances the field by providing children’s mental health implementers, researchers, funders, policy makers, and consumers with a menu of potential ripple effects. It can be a practical tool to ensure compliance with guidance from Quality Improvement/Quality Assurance, Complexity Science, and Diffusion of Innovation Theory. Future phases will match potential ripple effects with salient children’s mental health implementation strategies for each participant role. Plain Language Summary: This qualitative study of multiple stakeholders in children’s mental health services identifies several possible ripple effects of implementation strategies, opening a new area of study for implementation science. Ripple effects can be positive, negative, or neutral within the full balance of implementation quality and impact. The list of ripple effects will provide implementation scientists, developers, and others with a useful tool during implementation planning and evaluation. This expert-informed methodology can provide a model for other fields for exploring possible ripple effects within implementation science.

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Background Most evidence-based treatments (EBTs) for posttraumatic stress disorder (PTSD) and anxiety disorders include exposure; however, in community settings, the implementation of exposure lags behind other EBT components. Clinician-level determinants have been consistently implicated as barriers to exposure implementation, but few organizational determinants have been studied. The current study examines an organization-level determinant, implementation climate, and clinician-level determinants, clinician demographic and background factors, as predictors of attitudes toward exposure and changes in attitudes following training. Method Clinicians ( n = 197) completed a 3-day training with 6 months of twice-monthly consultation. Clinicians were trained in cognitive behavioral therapy (CBT) for anxiety, depression, behavior problems, and trauma-focused CBT (TF-CBT). Demographic and background information, implementation climate, and attitudes toward exposure were assessed in a pre-training survey; attitudes were reassessed at post-consultation. Implementation climate was measured at the aggregated/group-level and clinician-level. Results Attitudes toward exposure significantly improved from pre-training to post-consultation ( t(193) = 9.9, p < .001; d = 0.71). Clinician-level implementation climate scores did not predict more positive attitudes at pre-training ( p > .05) but did predict more positive attitudes at post-consultation (ß = −2.46; p < .05) and greater changes in those attitudes (ß = 2.28; p < .05). Group-level implementation climate scores did not predict attitudes at pre-training, post-consultation, or changes in attitudes (all ps > .05). Higher frequency of self-reported CBT use was associated with more positive attitudes at pre-training (ß = −0.81; p < .05), but no other clinician demographic or background determinants were associated with attitudes at post-consultation (all p > .05) or with changes in attitudes (all p > .05). Conclusions Clinician perceptions of implementation climate predicted greater improvement of attitudes toward exposure following EBT training and consultation. Findings suggest that organizational determinants outside of training impact changes in clinicians’ attitudes. Training in four EBTs, only two of which include exposure as a component, resulted in positive changes in clinicians’ attitudes toward exposure, which suggests non-specialty trainings can be effective at changing attitudes, which may enable scale-up.