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Cardiovascular science: opportunities for translating research into improved care.

ABSTRACT: Cardiovascular research is progressing on many fronts, as highlighted in the collection of Reviews in this issue of the JCI. MicroRNAs that regulate cardiac function have been implicated in cardiac disorders, and efforts to develop therapeutic antagomirs are underway. The genetic bases of several cardiac disorders, including cardiomyopathies that cause heart failure and channelopathies that underlie cardiac arrhythmias, have been elucidated. Genetic testing can identify asymptomatic individuals at risk, potentially leading to effective preventative measures. Growing evidence supports the role of chronic inflammation in atherosclerosis, providing new opportunities for therapeutic intervention. For heart failure, recent work suggests that cardiac regeneration using stem/progenitor cells, gene transfer, new drugs that restore normal Ca2+ cycling, and agents that reduce reperfusion injury following myocardial infarction are all viable new approaches to managing disease. Cumulatively, it seems likely that the clinical advances emerging from ongoing research will, in the foreseeable future, reduce the number of deaths in the industrialized world from cardiovascular disease.

SUBMITTER: Braunwald E

PROVIDER: S-EPMC3533312 | biostudies-other | 2013 Jan

REPOSITORIES: biostudies-other

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Cardiovascular science: opportunities for translating research into improved care.

Braunwald Eugene E

The Journal of clinical investigation 20130102 1

Cardiovascular research is progressing on many fronts, as highlighted in the collection of Reviews in this issue of the JCI. MicroRNAs that regulate cardiac function have been implicated in cardiac disorders, and efforts to develop therapeutic antagomirs are underway. The genetic bases of several cardiac disorders, including cardiomyopathies that cause heart failure and channelopathies that underlie cardiac arrhythmias, have been elucidated. Genetic testing can identify asymptomatic individuals ...[more]

PMID: 23281404

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Project description:BackgroundTo effectively use administrative claims for healthcare research, clinical events must be inferred from coding data according to validated algorithms. In October 2015, the United States transitioned from the International Classification of Diseases Ninth Revision (ICD-9) to the Tenth Revision (ICD-10). We describe our method to derive new ICD-10 codes for outcomes after vascular procedures from our prior, validated ICD-9 codes.MethodsWe began with validated ICD-9 coding lists known to represent outcomes after lower extremity revascularization, thoracic aortic endograft placement, abdominal aortic aneurysm reintervention, and carotid revascularization. We used the publicly available general equivalence mapping tools to derive corresponding ICD-10 codes for each of the ICD-9 codes in our current lists. The resulting lists were then manually reviewed by multiple authors to ensure clinical relevance for appropriate event detection. Clinically nonrelevant and duplicated codes were removed.ResultsA total of 475 ICD-9 codes were translated to ICD-10 with a 98-fold increase (n = 46,630) in the total number of codes. Overall, we found that 77% of codes (n = 35,833) were either duplicated or not clinically relevant upon manual review. For example, for thoracic aortic endograft placement, 97 ICD-9 codes mapped to 14,661 ICD-10 codes in total. A total of 890 codes were removed as duplicates and 9035 codes were removed during manual clinical review. The resultant, reviewed list contained 4736 ICD-10 codes representing a 49-fold increase from the initial ICD-9 list. Findings were similar across the other procedures studied.ConclusionsICD-10 has expanded the number of codes necessary to describe outcomes after vascular procedures. More than 75% of the codes obtained using the general equivalence mapping database were either duplicated or not clinically relevant. Manual review of codes by researchers with clinical knowledge of the procedures is imperative.

Project description:ObjectiveSignificant delays in translating health care-related research into public health programs and medical practice mean that people may not get the best care when they need it. Regarding cardiovascular disease, translation delays can mean lives may be unnecessarily lost each year. To facilitate the translation of knowledge to action, we created a Best Practices Guide for Cardiovascular Disease Prevention Programs.DesignUsing the Rapid Synthesis Translation Process and the Best Practices Framework as guiding frameworks, we collected and rated research evidence for hypertension control and cholesterol management strategies. After identifying best practices, we gathered information about programs that were implementing the practices and about resources useful for implementation. Research evidence and supplementary information were consolidated in an informational resource and published online. Web metrics were collected and analyzed to measure use and reach of the guide.ResultsThe Best Practices Guide was released in January 2018 and included background information and resources on 8 best practice strategies. It was published as an online resource, publicly accessible from the Centers for Disease Control and Prevention Web site in 2 different formats. Web metrics show that in the first year after publication, there were 25 589 Web page views and 2467 downloads. A query of partner use of the guide indicated that it was often shared in partners' own resources, newsletters, and online material.ConclusionIn following a systematic approach to creating the Best Practices Guide and documenting the steps taken in its development, we offer a replicable approach for translating research on health care practices into a resource to facilitate implementation. The success of this approach is attributed to 3 key factors: using a prescribed and documented approach to evidence translation, working closely with stakeholders throughout the process, and prioritizing the content design and accessibility of the final product.

Project description:Background:The Translating Research in Elder Care (TREC) program is a longitudinal partnered program of research in Western Canada that aims to improve the quality of care and quality of life for residents and quality of worklife for staff in long-term care settings. This program of research includes researchers, citizens (persons living with dementia and caregivers of persons living in long-term care), and stakeholders (representatives from provincial and regional health authorities, owner-operators of long-term care homes). The aim of this paper is to describe how we used priority setting methods with citizens and stakeholders to identify ten priorities for research using the TREC data. Methods:We adapted the James Lind Alliance Priority Setting Partnership method to ensure our citizens and stakeholders could identify priorities within the existing TREC data. We administered an online survey to our citizen and stakeholder partners. An in-person priority setting workshop was held in March 2019 in Alberta, Canada to establish consensus on ten research priorities. The in-person workshop used a nominal group technique and involved two rounds of small group prioritization and one final full group ranking. Results:We received 72 online survey respondents and 19 persons (citizens, stakeholders) attended the in-person priority setting workshop. The workshop resulted in an unranked list of their ten research priorities for the TREC program. These priorities encompassed a range of non-clinical topics, including: influence of staffing (ratios, type of care provider) on residents and staff work life, influence of the work environment on resident outcomes, and the impact of quality improvement activities on residents and staff. Conclusions:This modified priority setting approach provided citizens and stakeholders with an opportunity to identify their own research priorities within the TREC program, without the external pressures of researchers. These priorities will inform the secondary analyses of the TREC data and the development of new projects. This modified priority setting may be a useful approach for research teams trying to engage their non-academic partners and to identify areas for future research.

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Cardiovascular science: opportunities for translating research into improved care.

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Cardiovascular science: opportunities for translating research into improved care.

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