Implementation science communications最新文献

Background: Health disparities lead to negative COVID-19 outcomes for Hispanic/Latino communities. Rapid antigen testing was an important mitigation tool for protecting schools and their communities as in-person learning resumed. Within the context of a 3-middle-school non-inferiority trial we assessed acceptability and appropriateness of at-home and school-based COVID-19 antigen testing and implementation barriers and facilitators to facilitate district-wide scale up.

Methods: Guided by the Consolidated Framework for Implementation Research (CFIR) and acceptability and appropriateness implementation outcomes, we collected post-implementation qualitative (n = 30) and quantitative (n = 454) data in English and Spanish from trial participants, in-depth feedback sessions among program implementers (n = 19) and coded 137 project meeting minutes. Verbatim transcripts were thematically analyzed. We used multivariate linear models to evaluate program acceptability and appropriateness by COVID-19 testing modality and mixed qualitative and quantitative findings for interpretation.

Results: Questionnaire respondents closely matched school demographics (> 80% Hispanic/Latino and 8% Filipino/Asian Pacific Islander). While both testing modalities were rated as highly acceptable and appropriate, at-home testing was consistently favorable. Qualitative findings provided actionable areas for at-home testing program refinement, guiding district-wide scale up including: maintaining a learning climate to accommodate modifications as guidelines changed, needs of the school community, and implementation challenges; ensuring an engaged school leadership and sufficient human resources; improving educational communication about COVID-19 and technology ease of use; and increased time for pre-implementation planning and engagement.

Conclusions: Results underscore the value of the CFIR to inform program implementation, particularly programs to reduce disparities during a public health emergency. Results support optimal testing implementation strategies centering the needs and perspectives of Hispanic/Latinos.

Background: Implementation strategies can help support the adoption and implementation of health interventions that are appropriate for a local context and acceptable to decision makers and community members. Implementation strategies should be designed to handle the complexity of the multi-level, dynamic contexts in which interventions are implemented. Systems science theories and methods explicitly attend to complexity and can be valuable for specifying implementation strategies. Group Model Building (GMB) combines research partner engagement strategies with systems science to support researchers' and partners' learning about complex problems and to identify solutions through consensus. This paper specifies how GMB can operationalize implementation strategies - methods for supporting evidence implementation in real-world practice - and describes how GMB can aid in selecting and tailoring both health interventions and implementation strategies. A case study in child maltreatment prevention planning is provided to illustrate how GMB was used to specify the "actions" - strategy activities - for three implementation strategies (conduct local consensus discussions; build a coalition; model and simulate change) during the earliest implementation phases, with the goal of supporting intervention selection decisions. Examples are provided of generalizable research products that can be produced concurrently through GMB, in addition to contextually-driven implementation support.

Methods: Participants (n = 8) were engaged over four sessions using tailored GMB activities. Participants generated a qualitative system dynamics model that described their theory of change for how to prevent child maltreatment in their communities. This theory of change reflected a dynamic understanding of the interconnected determinants of child maltreatment.

Results: GMB was acceptable to participants and resulted in products that could be used for implementation planning (e.g., to model and simulate change) and future research. GMB fostered trust and idea sharing between participants.

Conclusion: GMB can facilitate learning about which outcomes are (or are not) impacted by interventions, which resources and approaches are required for quality implementation (e.g., implementation strategies), and tradeoffs in outcomes and resources between interventions. GMB also provides a structured, effective process to generate a shared implementation vision amongst participants. Lessons learned include methods for developing trust with and between participants, and the need for researchers to tailor GMB actions for participant and project needs.

Background: Familial hypercholesterolemia (FH) is an autosomal dominant genetic condition that carries increased risk for premature atherosclerotic cardiovascular disease, cardiovascular events, and death. Due to low uptake of evidence-based practices, up to 80% of FH patients remain undiagnosed and most are undertreated. This project aimed to understand patient and clinician perceptions across the care pathway of evidence-based diagnosis and treatment of FH, to inform implementation strategy design for two clinical trials seeking to increase evidence-based care.

Methods: With input from FH experts, we identified key points along the FH care pathway that might be targeted with broad-scale implementation efforts, including: (a) identification of the need for screening; (b) completion of screening test(s); (c) diagnosis; (d) connection to treatment; and (e) family cascade screening (a process used to identify and screen relatives of individuals diagnosed with FH). Then, we conducted qualitative interviews with patients who had participated in a prior FH quality improvement initiative and with clinicians who treat high cholesterol. We analyzed data using thematic analysis.

Results: We interviewed 21 patients and 17 clinicians. Patient themes offered insights related to the impact of family history, reactions to a diagnosis of high cholesterol and/or FH, experiences with FH treatment and clinical care, perceptions of tools to diagnose FH, motivations and preferences for FH screening efforts, and reactions to family screening. Clinician themes offered insights into the perceived value of FH screening and diagnosis, current FH-related practice and context, and attitudes toward tools to aid clinical practice. In both sets of interviews, confusion and misconceptions about what makes FH unique and its clinical implications were common, as were concerns about logistics and competing priorities.

Conclusion: Qualitative inquiry generated insights into several modifiable patient and clinician determinants of engagement with evidence-based implementation along the FH care pathway, many of which can be targeted with behavioral economics strategies that simplify complex decisions and by addressing informational and emotional needs. These findings offer actionable insights to inform future implementation research that seeks to close the evidence-to-practice gap in diagnosis and delivery of evidence-based care for FH.

Background: Positive pressure ventilation (PPV) is an essential component of neonatal resuscitation. Meta-analytic evidence suggests that, among late preterm and term newborn infants who require resuscitation after birth, a supraglottic airway (SA) device is more effective than a face mask at reducing the probability of PPV failure and reducing the need for endotracheal intubation. However, SA devices are rarely used in routine practice in hospital delivery room settings within the United States.

Methods: In preparation for a pragmatic hybrid effectiveness-implementation trial, we used implementation mapping to identify barriers and facilitators to SA use; develop a logic model; identify and operationalize implementation strategies targeting key barriers and facilitators; and refine strategies based on iterative feedback from clinicians and administrators (e.g., physicians, nurse practitioners, nurse managers, and respiratory therapists). We used the Consolidated Framework for Implementation Research (CFIR) to organize barriers and implementation strategies.

Results: Across open-ended survey responses and focus groups, identified barriers included: (1) mixed perceptions of the advantages or disadvantages of SA compared to alternatives; (2) insufficient education and training in SA use; and (3) lack of perceived need for an alternative to intubation as a standard practice. The research team's understanding of these barriers and selection of implementation strategies to address them were refined throughout the iterative implementation mapping process, which resulted in the selection of two sets of implementation strategies to be tested in a hybrid trial.

Conclusions: The implementation mapping process described in this paper provides an exemplar of a systematic and partner-engaged process to identify and select implementation strategies for the purpose of hybrid trial design.

Background: Neovascular age-related macular degeneration (nAMD) is one of the largest single-disease contributors to hospital outpatient appointments. Challenges in finding the clinical capacity to meet this demand can lead to sight-threatening delays in the macular services that provide treatment. Clinical artificial intelligence (AI) technologies pose one opportunity to rebalance demand and capacity in macular services. However, there is a lack of evidence to guide early-adopters seeking to use AI as a solution to demand-capacity imbalance. This study aims to provide guidance for these early adopters on how AI-enabled macular services may best be implemented by exploring what will influence the outcome of AI implementation and why.

Methods: Thirty-six semi-structured interviews were conducted with participants. Data were analysed with the Nonadoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) framework to identify factors likely to influence implementation outcomes. These factors and the primary data then underwent a secondary analysis using the Fit between Individuals, Technology and Task (FITT) framework to propose an actionable intervention.

Results: nAMD treatment should be initiated at face-to-face appointments with clinicians who recommend year-long periods of AI-enabled scheduling of treatments. This aims to maintain or enhance the quality of patient communication, whilst reducing consultation frequency. Appropriately trained photographers should take on the additional roles of inputting retinal imaging into the AI device and overseeing its communication to clinical colleagues, while ophthalmologists assume clinical oversight and consultation roles. Interoperability to facilitate this intervention would best be served by imaging equipment that can send images to the cloud securely for analysis by AI tools. Picture Archiving and Communication Software (PACS) should have the capability to output directly into electronic medical records (EMR) familiar to clinical and administrative staff.

Conclusion: There are many enablers to implementation and few of the remaining barriers relate directly to the AI technology itself. The proposed intervention requires local tailoring and prospective evaluation but can support early adopters in optimising the chances of success from initial efforts to implement AI-enabled macular services.

Protocol registration: Hogg HDJ, Brittain K, Teare D, Talks J, Balaskas K, Keane P, Maniatopoulos G. Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study. BMJ Open. 2023 Feb 1;13(2):e069443. https://doi.org/10.1136/bmjopen-2022-069443 . PMID: 36725098; PMCID: PMC9896175.

Background: As implementation science (IS) in low and middle-income country settings continues to grow and generate interest, there is continual demand for capacity building in the field. Training programs have proliferated, but evaluations of these efforts are sparse and primarily from high-income countries. There is little knowledge about the impact of IS training on students' careers post-graduation. This evaluation of the first cohort of students who graduated from the 18-month implementation science concentration in HIV/AIDS within the Master of Science program at University of the Witwatersrand in South Africa addresses this gap.

Methods: We conducted two rounds of virtual interviews with the students, who were from eight African countries, immediately after the training program ended (n = 10 participants) and again five years later (n = 9 participants). The first survey captured student perceptions of IS before they entered the program and their opinions just after graduation. The follow-up evaluated their perceptions five years after graduation. Interviews were recorded, transcribed, and coded in ATLAS.ti (first round) and MAXQDA (second round), using the framework method and thematic analysis.

Results: Prior to the training, all students, even those with no knowledge of the field, perceived that the IS training program would help them develop skills to address critical public health priorities. These expectations were generally met by the training program, and most students reported satisfaction despite what they felt was a limited timeframe of the program and insufficient mentorship to complete their dissertation projects at their home institutions across the African continent. Five years post-graduation, most of the students did not have jobs in IS but continued applying their training in their roles and had subsequently pursued further education, some in IS-related programs.

Conclusions: IS training in Africa was clearly seen as valuable by trainees but IS job opportunities remain scarce. Training programs need to be more closely tied to local government priorities, and training for in-country policy and decision-makers is needed to increase demand for qualified IS researchers and practitioners.

Background: Delays and missed opportunities for timely treatment contribute significantly to stark inequities in cervical cancer mortality in low- and middle-income countries (LMICs) compared to high-income countries. The vast majority (approximately 90%) of new cases and deaths occur in LMICs, particularly those with high rates of HIV such as Botswana. To date, most of the implementation and cancer control research in Botswana and other LMICs has focused on cancer prevention and screening, with limited focus on cancer treatment. As such, there is a critical need to identify effective strategies to ensure timely care, and to understand contextual factors that shape the response to strategies. Without this fundamental knowledge, cervical cancer will remain a public health crisis in Botswana and other LMICs.

Methods: To help fill this known gap, this study tests the effectiveness of adaptive strategies on timely treatment adoption using a hybrid (type III) Sequential Multiple Assignment Randomized Trial (SMART) design and evaluate contextual mechanisms contributing to the success or failure of each adaptive strategy. The adaptive strategies are designed to target contextual determinants identified in our prior work, including delayed communication of results to patients, individual and structural barriers to accessing treatment, and suboptimal care coordination between referring and cancer treatment clinics, and are supported by systematic evidence of the effectiveness of nudge strategies in clinical care. The primary implementation outcome is adoption, defined as the initiation of treatment within 90 days. Secondary outcomes include fidelity, reach, acceptability, implementation costs, and cancer and HIV-related clinical outcomes. The rationale for the study is that enhancing coordination, communication, and navigation through centralized outreach will both increase timely treatment adoption and be scalable and sustainable after the project is completed.

Discussion: This innovative study seeks to decrease cervical cancer mortality in LMICs by developing and implementing effective and sustainable strategies that can be sustained and adapted to other contexts. Additionally, this study seeks to advance the long-term impact of global implementation science through strong and sustained partnerships in Botswana and other LMICs.

Trial registration: ClinicalTrials.gov NCT05952141. Registered on July 11, 2023. https://clinicaltrials.gov/study/NCT05952141 PROTOCOL VERSION AND DATE: Version 1 (September 28, 2024).

Background: Collaboration strategies refer to policies and practices used to align operations and services across organizations or systems. These strategies can influence implementation of cross-system interventions focused on improving integration of care, but remain under-specified and under-examined. This study identifies collaboration strategies and the conditions under which they affected implementation of Sobriety Treatment and Recovery Teams (START), an evidence-based intervention focused on integrating child welfare and behavioral health services for families involved with both systems.

Methods: Our study sample included 17 county child welfare agencies that implemented START. Data on collaboration strategies and organizational context were obtained from key informant interviews, frontline worker surveys, and contracts. Contextual data were drawn from secondary data, and fidelity data were drawn from an administrative database. Qualitative and quantitative data were integrated using coincidence analysis, and used to identify combinations of conditions that uniquely differentiated agencies with higher and lower fidelity to START.

Results: Fidelity was lower for intervention components requiring cross-system collaboration. Although key informants acknowledged the importance of collaboration for START implementation, few agencies used formal collaboration strategies other than staff co-location or reported high communication quality between frontline staff in child welfare and behavioral health. In coincidence analysis, four conditions differentiated agencies with higher and lower fidelity with 100% consistency and 88% coverage. We found that either strong leadership support or, in high need communities, third-party resource support from local behavioral health boards were sufficient for high fidelity. Similarly, in high need communities, absence of third-party resource support was sufficient for low fidelity, while in low need communities, absence of communication quality was sufficient for low fidelity.

Conclusion: Administrators, frontline workers, and interested third parties (i.e., other stakeholders not directly involved in implementation) can use collaboration strategies to facilitate implementation. However, the effectiveness of collaboration strategies depends on local context. In agencies where internal leadership support for implementation is low but need for intervention is high, third-party resource support may still be sufficient for high fidelity. Further research is needed to test effectiveness of collaboration strategies in different conditions and on a broader range of process and implementation outcomes.

Trials registration: ClinicalTrials.gov, NCT03931005, Registered 04/29/2019, https://classic.

Clinicaltrials: gov/ct2/show/NCT03931005 .