ArticleHealthcare (Amsterdam, Netherlands)2021
From implementation to sustainment: A large-scale adverse event disclosure support program generated through embedded research in the Veterans Health Administration.
Article in Healthcare (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Formative evaluation prior to implementation of a brief treatment for posttraumatic stress disorder in primary care.Implementation science communications · 2023Article
- Leveraging multistakeholder engagement to develop an implementation blueprint for a brief trauma-focused cognitive behavioral therapy in primary care.Psychological trauma : theory, research, practice and policy · 2022Article
- Involving Stakeholders as Communication Partners in Research Dissemination Efforts.Journal of general internal medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 10 institutions in 1 country.
Funding
Abstract
In 2008, the Veterans Health Administration published a groundbreaking policy on disclosing large-scale adverse events to patients in order to promote transparent communication in cases where harm may not be obvious or even certain. Without embedded research, the evidence on whether or not implementation of this policy was generating more harm than good among Veteran patients was unknown. Through an embedded research-operations partnership, we conducted four research projects that led to the development of an evidence-based large-scale disclosure toolkit and disclosure support program, and its implementation across VA healthcare. Guided by the Consolidated Framework for Implementation Research, we identified specific activities corresponding to planning, engaging, executing, reflecting and evaluating phases in the process of implementation. These activities included planning with operational leaders to establish a shared research agenda; engaging with stakeholders to discuss early results, establishing buy-in of our efforts and receiving feedback; joining existing operational teams to execute the toolkit implementation; partnering with clinical operations to evaluate the toolkit during real-time disclosures; and redesigning the toolkit to meet stakeholders' needs. Critical lessons learned for implementation success included a need for stakeholder collaboration and engagement, an organizational culture involving a strong belief in evidence, a willingness to embed researchers in clinical operation activities, allowing for testing and evaluation of innovative practices, and researchers open to constructive feedback. At the conclusion of the research, VA operations worked with the researchers to continue to support efforts to spread, scale-up and sustain toolkit use across the VA healthcare system, with the final goal to establish long-term sustainability.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.