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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 16 of 16 Research Studies DisplayedBierman AS, Burke BT, Comfort LN
AHRQ Author: Bierman AS, Burke BT, Comfort LN, Gerstein M, Mueller NM, Umscheid CA
From precision medicine to precision care: choosing and using precision medicine in the context of multimorbidity.
Swift progress in personalized medicine offers significant potential to decrease disease and death rates for numerous health issues. To maximize the advantages of personalized medicine and minimize negative outcomes, addressing real-world obstacles in applying this research to clinical practice is crucial. A primary challenge involves selecting and employing personalized medicine approaches in everyday practice, considering the care of a substantial portion of individuals with multiple coexisting conditions. Personalized medicine should be incorporated into a broader framework of individualized care, which takes into account factors that impact the efficacy of specific treatments. Individualized care combines a patient-focused approach with personalized medicine to guide decision-making and care plans, considering multiple health conditions, functional ability, personal values, goals, preferences, and social and societal contexts. Creating dissemination and implementation strategies for personalized medicine centered around individualized care can enhance patient-centric quality and health outcomes, direct interventions toward those who will benefit most, improve access to novel treatments, reduce the likelihood of treatment withdrawal due to unforeseen side effects, and promote health equity by customizing interventions and care for diverse individuals and communities. Delivering personalized medicine within the scope of individualized care supports respectful treatment that aligns with patient preferences, values, and objectives, fostering trust and offering necessary information for informed decision-making. Accelerating its adoption demands focus on the entire translational research continuum: devising innovative methods, proving their value, disseminating and implementing findings, and involving patients throughout the process. This includes basic science, preclinical and clinical research, and integration into practice, all aimed at enhancing health. This paper scrutinizes the challenges in adopting personalized medicine in the presence of multiple health conditions. The authors conclude that while the promise of personalized medicine is immense, proactive measures are essential to prevent unintended repercussions and ensure its equitable and efficient implementation.
AHRQ-authored: All.
Citation: Bierman AS, Burke BT, Comfort LN .
From precision medicine to precision care: choosing and using precision medicine in the context of multimorbidity.
Cambridge Prisms: Precision Medicine 2023 Feb 21;1:e19. doi:10.1017/pcm.2023.8.
Keywords: Learning Health Systems, Patient-Centered Healthcare, Evidence-Based Practice, Patient-Centered Outcomes Research
Strayer TE, Spalluto LB, Burns A
Using the framework for reporting adaptations and modifications-expanded (frame) to study adaptations in lung cancer screening delivery in the Veterans Health Administration: a cohort study.
The purpose of this study was to apply the Framework for Reporting Adaptations and Modifications-Expanded (FRAME) to study adaptations in lung cancer screening delivery processes in a Veterans Health Administration (VHA) Initiative. Between 2019 and 2021 the researchers prospectively administered semi-structured interviews with lung cancer screening program navigators at 10 Veterans Affairs Medical Centers (VAMCs). Baseline process maps were developed for each program, and each program navigator reviewed process maps in subsequent years 1 and 2. Researchers then identified, documented, and mapped adaptations in screening processes to the FRAME categories. 16 interviews were conducted across 10 VHA lung cancer screening programs, with 6 of these being operational, and of those 3 reported adaptations to their screening processes that were planned or in response to COVID-19. In year 2 all 10 programs were operational and eligible. Programs reported 14 adaptations in year 2. The adaptations identified were both planned and unplanned and often prompted by increased workload; 57% of year 2 adaptations were associated with the identification and eligibility of Veterans and 43% were associated with follow-up with Veterans for screening results. During the 2 years, adaptations associated with data management and patient tracking took place in 60% of programs to improve the data collection and tracking of Veterans in the screening process. The study concluded that adaptations took place predominantly in the categories of patient identification and communication of results due to increased workload.
AHRQ-funded; HS026122; HS026395.
Citation: Strayer TE, Spalluto LB, Burns A .
Using the framework for reporting adaptations and modifications-expanded (frame) to study adaptations in lung cancer screening delivery in the Veterans Health Administration: a cohort study.
Implement Sci Commun 2023 Jan 12; 4(1):5. doi: 10.1186/s43058-022-00388-x..
Keywords: Cancer: Lung Cancer, Cancer, Screening, Evidence-Based Practice, Learning Health Systems
Sirkin JT, Flanagan E, Tong ST
AHRQ Author: Tong ST, McNellis RJ, Bierman AS
Primary care's challenges and responses in the face of the COVID-19 pandemic: insights from AHRQ's learning community.
The purpose of this paper was to review the Agency for Healthcare Research and Quality’s (AHRQ) learning community organized to engage and support primary care in responding to COVID-19 and provide an opportunity for participants to communicate learning and peer support, improve understanding of the stressors and challenges faced by practices, determine needs, and identify possible solutions to challenges of the pandemic. The researchers identified challenges, responses, and innovations that occurred through the engagement and information sharing of the learning community and categorized them across 5 domains, including: patient-centeredness, clinician and practice, systems and infrastructure, community and public health; and health equity which cut across each of the other domains. The authors concluded that the learning community provided valuable insights for future research and policy, primary care delivery improvement, and ensuring greater preparedness for future challenges.
AHRQ-authored.
Citation: Sirkin JT, Flanagan E, Tong ST .
Primary care's challenges and responses in the face of the COVID-19 pandemic: insights from AHRQ's learning community.
Ann Fam Med 2023 Jan-Feb; 21(1):76-82. doi: 10.1370/afm.2904..
Keywords: COVID-19, Primary Care, Learning Health Systems, Health Systems, Evidence-Based Practice, Public Health
Lozano PM, Lane-Fall M, Franklin PD
AHRQ Author: Chesley FD
Training the next generation of learning health system scientists.
The purpose of this paper was to describe the approaches developed by 11 Agency for Healthcare Research and Quality (AHRQ)- and Patient-Centered Outcomes Research Institute- funded Centers of Excellence (COEs) to grow the number of learning health systems (LHS) scientists. Program directors for each COE have provided descriptive program data since 2018. The authors found that since the program began, the 11 COEs have partnered with health systems to train 110 scholars. Nine programs partner with a Veterans Affairs health system and 9 partner with safety net providers. Clinically trained scholars include 70 physicians and 17 scholars in other clinical disciplines. Non-clinicians represent diverse fields, with most representing population health sciences. Challenges include guiding scholars through issues that can disrupt or delay projects during already-limited program time, such as delays in accessing data, organizational changes, pandemic impacts and others. The researchers concluded that the program documentation provides evidence of scholars' academic accomplishments and career-trajectory achievements.
AHRQ-authored; AHRQ-funded; HS026369; HS026370; HS026372; HS026379; HS026383; HS026385; HS026390; HS026393; HS026395; HS026396; HS026407
Citation: Lozano PM, Lane-Fall M, Franklin PD .
Training the next generation of learning health system scientists.
Learn Health Syst 2022 Oct;6(4):e10342. doi: 10.1002/lrh2.10342..
Keywords: Learning Health Systems, Health Systems, Patient-Centered Outcomes Research, Evidence-Based Practice, Training, Workforce
Bierman AS, Tong ST, McNellis RJ
AHRQ Author: Bierman AS, Tong ST, McNellis RJ
Realizing the dream: the future of primary care research.
In this article, the authors discussed the primary care research central to successful primary care transformation and to realizing the vision of a high-performing US health system to serve effectively all Americans and their communities while advancing health equity.
AHRQ-authored.
Citation: Bierman AS, Tong ST, McNellis RJ .
Realizing the dream: the future of primary care research.
Ann Fam Med 2022 Mar-Apr;20(2):170-74. doi: 10.1370/afm.2788..
Keywords: Primary Care, Healthcare Delivery, Evidence-Based Practice, Health Systems, Learning Health Systems, Patient-Centered Healthcare
Austin EJ, LeRouge C, Lee JR
A learning health systems approach to integrating electronic patient-reported outcomes across the health care organization.
The authors reported on their effort to develop generalizable learnings that can support the integration of electronic patient-reported outcome measures into clinical practice within a learning health system (LHS) framework. They concluded that the guidelines produced from this work highlighted the complex, multidisciplinary nature of implementing change within LHS contexts, as well as the value of action research approaches to enable rapid, iterative learning that leverages the knowledge and experience of communities of practice.
AHRQ-funded; HS023785.
Citation: Austin EJ, LeRouge C, Lee JR .
A learning health systems approach to integrating electronic patient-reported outcomes across the health care organization.
Learn Health Syst 2021 Oct;5(4):e10263. doi: 10.1002/lrh2.10263..
Keywords: Learning Health Systems, Health Information Technology (HIT), Patient-Centered Outcomes Research, Outcomes, Evidence-Based Practice
Siddique SM, Tipton K, Leas B
Interventions to reduce hospital length of stay in high-risk populations: a systematic review.
Many strategies to reduce hospital length of stay (LOS) have been implemented, but few studies have evaluated hospital-led interventions focused on high-risk populations. The Agency for Healthcare Research and Quality (AHRQ) Learning Health System panel commissioned this study to further evaluate system-level interventions for LOS reduction. The objective of this study was to identify and synthesize evidence regarding potential systems-level strategies to reduce LOS for patients at high risk for prolonged LOS.
AHRQ-funded; 75Q80120D00002.
Citation: Siddique SM, Tipton K, Leas B .
Interventions to reduce hospital length of stay in high-risk populations: a systematic review.
JAMA Netw Open 2021 Sep;4(9):e2125846. doi: 10.1001/jamanetworkopen.2021.25846..
Keywords: Learning Health Systems, Health Systems, Evidence-Based Practice, Hospital Discharge, Risk, Inpatient Care, Care Management
Bishop JR, Huang RS, Brown JT
Pharmacogenomics education, research and clinical implementation in the state of Minnesota.
This article looks at the development and implementation of formal pharmacogenomic (PGx) clinical programs at several healthcare organizations across Minnesota. These programs increase drug safety and effectiveness. The article reviews the state of PGx activities in the state of Minnesota including educational programs, research, national consortia involvement, technology, clinical implementation and utilization and reimbursement, and outlines the challenges and opportunities in equitable implementation of these activities.
AHRQ-funded; HS026379.
Citation: Bishop JR, Huang RS, Brown JT .
Pharmacogenomics education, research and clinical implementation in the state of Minnesota.
Pharmacogenomics 2021 Jul;22(11):681-91. doi: 10.2217/pgs-2021-0058..
Keywords: Medication, Implementation, Learning Health Systems, Evidence-Based Practice, Patient-Centered Outcomes Research
Lin JS, Murad MH, Leas B
A narrative review and proposed framework for using health system data with systematic reviews to support decision-making.
This paper addresses when and how the use of health system data might make systematic reviews more useful to decisionmakers. The authors have developed a framework to guide the use of health system data alongside systematic reviews based on a narrative review of the literature and empirical experience. They recommend future methodological work on how best to handle internal and external validity concerns of health system data in the context of systematically reviewed data and work on developing infrastructure to do this type of work.
AHRQ-funded; 290201500007I; 29032001T05; 290201500005I; 290201500009I.
Citation: Lin JS, Murad MH, Leas B .
A narrative review and proposed framework for using health system data with systematic reviews to support decision-making.
J Gen Intern Med 2020 Jun;35(6):1830-35. doi: 10.1007/s11606-020-05783-5..
Keywords: Learning Health Systems, Health Systems, Evidence-Based Practice, Data, Shared Decision Making
Richesson RL, Bray BE, Dymek C
AHRQ Author: Dymek C
Summary of second annual MCBK public meeting: mobilizing computable biomedical knowledge-a movement to accelerate translation of knowledge into action.
The Mobilizing Computable Biomedical Knowledge (MCBK) community formed in 2016. This report summarizes the main outputs of the Second Annual MCBK public meeting, which was held at the National Institutes of Health on July 18-19, 2019 and brought together over 150 participants from various domains to frame and address important dimensions for mobilizing CBK.
AHRQ-authored.
Citation: Richesson RL, Bray BE, Dymek C .
Summary of second annual MCBK public meeting: mobilizing computable biomedical knowledge-a movement to accelerate translation of knowledge into action.
Learn Health Syst 2020 Apr;4(2):e10222. doi: 10.1002/lrh2.10222..
Keywords: Implementation, Evidence-Based Practice, Learning Health Systems
Guise JM, Reid E, Fiordalisi CV
AHRQ Author: Borsky A, Chang S
AHRQ series on improving translation of evidence: progress and promise in supporting learning health systems.
The authors discuss the articles in the AHRQ EPC series published in this journal over the past six months. They state that satisfaction, care, and costs would all improve if health care delivery were as efficient and effective as possible given current knowledge. They conclude that millions of health decisions must be made by clinicians, patients, and health care systems, and they believe better decisions will be made with evidence.
AHRQ-authored; AHRQ-funded; 290201700003C.
Citation: Guise JM, Reid E, Fiordalisi CV .
AHRQ series on improving translation of evidence: progress and promise in supporting learning health systems.
Jt Comm J Qual Patient Saf 2020 Jan;46(1):51-52. doi: 10.1016/j.jcjq.2019.10.008..
Keywords: Implementation, Evidence-Based Practice, Learning Health Systems, Health Systems, Healthcare Delivery, Shared Decision Making
Borsky AE, Savitz LA, Bindman AB
AHRQ Author: Borsky AE
AHRQ series on improving translation of evidence: perceived value of translational products by the AHRQ EPC Learning Health Systems Panel.
This paper discusses the outcomes of an evaluation of translational products for clinicians and healthcare providers by an EPC (Evidence-based Practice Center) Learning Health Systems Panel convened by AHRQ. The panel, led by two national leaders and composed of key stakeholders evaluated different translational products for learning health systems and also discussed challenges in adopting evidence-based practices. They evaluated a number of different products, and decided that the one- and three-page summaries, the MAGICapp and Tableau for interactive data visualization, and clinical encounter and health system decision aids were the most useful products. As a result of their findings, the EPC Program is further developing the one- and three-page summaries and MAGICapp and Tableau data visualization products.
AHRQ-authored; AHRQ-funded; 233201500014I.
Citation: Borsky AE, Savitz LA, Bindman AB .
AHRQ series on improving translation of evidence: perceived value of translational products by the AHRQ EPC Learning Health Systems Panel.
Jt Comm J Qual Patient Saf 2019 Nov;45(11):772-78. doi: 10.1016/j.jcjq.2019.08.002..
Keywords: Implementation, Evidence-Based Practice, Patient-Centered Outcomes Research, Learning Health Systems
White CM, Coleman CI, Jackman K
AHRQ series on improving translation of evidence: linking evidence reports and performance measures to help learning health systems use new information for improvement.
This paper analyzed ways to enhance usability of AHRQ’s Evidence-based Practice Center (EPC) reports. The reports are often lengthy and difficult for users to navigate. A quality measure index was created to allow health systems to more efficiently access relevant information. A test was created where two tables were embedded in an EPC report. The first identified quality measures covered by the report descriptively. The second contained page numbers in the executive summary which hyperlinked to those pages with the quality measures. An exercise with two health system-targeted scenarios was then created. The participants were timed how long it took to find answers to scenario questions and gave feedback. It was found that it took 63.4% less time to find quality measure information with the hyperlinked indexing tables than without. The participants felt that the tables were easy to use and more user friendly to health systems.
Jt Comm J Qual Patient Saf 2019 Oct;45(10):706-10. doi: 10.1016/j.jcjq.2019.05.002.
Citation: White CM, Coleman CI, Jackman K .
AHRQ series on improving translation of evidence: linking evidence reports and performance measures to help learning health systems use new information for improvement.
Jt Comm J Qual Patient Saf 2019 Oct;45(10):706-10. doi: 10.1016/j.jcjq.2019.05.002..
Keywords: Implementation, Evidence-Based Practice, Health Systems, Learning Health Systems, Patient-Centered Outcomes Research, Provider Performance, Quality Measures, Quality Improvement, Quality of Care
Fiordalisi C, Borsky A, Chang S
AHRQ EPC series on improving translation of evidence into practice for the learning health system: introduction.
This article introduces a special series of articles summarizing the AHRQ EPC program’s work to improve translation of high-quality evidence into practice. The authors summarize each of the nine EPC pilot projects and characterize the chosen approach to improve uptake of EPC review findings. They anticipate that the articles in this series will inform health systems about how others have tried to improve the translation of evidence into practice and use this information to inform their own efforts to bridge the evidence-to-practice gap going forward.
AHRQ-authored; AHRQ-funded; 290201700003C.
Citation: Fiordalisi C, Borsky A, Chang S .
AHRQ EPC series on improving translation of evidence into practice for the learning health system: introduction.
Jt Comm J Qual Patient Saf 2019 Aug;45(8):558-65. doi: 10.1016/j.jcjq.2019.05.006..
Keywords: Evidence-Based Practice, Learning Health Systems, Implementation, Quality Improvement, Quality of Care
Borsky AE, Flores EJ, Berliner E
AHRQ Author: Borsky AE, Berliner E, Chang C, Chang SM
Next steps in improving healthcare value: AHRQ Evidence-based Practice Center Program-applying the knowledge to practice to data cycle to strengthen the value of patient care.
This paper discusses AHRQ’s Evidence-based Practice Center (EPC) Program which has been in existence for over 20 years. The EPC program and its objectives are described. The three phases of the Learning Healthcare System cycle is described. A sample topic (hospital medicine Clostridium difficile colitis prevention and treatment) is used to describe the process and results of the effectiveness of the EPC program.
AHRQ-authored.
Citation: Borsky AE, Flores EJ, Berliner E .
Next steps in improving healthcare value: AHRQ Evidence-based Practice Center Program-applying the knowledge to practice to data cycle to strengthen the value of patient care.
J Hosp Med 2019 May;14(5):311-14. doi: 10.12788/jhm.3157..
Keywords: Evidence-Based Practice, Learning Health Systems, Implementation
Guise JM, Savitz LA, Friedman CP
Mind the gap: putting evidence into practice in the era of learning health systems.
This paper discusses two main mechanisms to close the evidence-to-practice gap: (1) integrating Learning Health System (LHS) results with existing systematic review evidence and (2) providing this combined evidence in a standardized, computable data format.
AHRQ-funded; 29020120004C.
Citation: Guise JM, Savitz LA, Friedman CP .
Mind the gap: putting evidence into practice in the era of learning health systems.
J Gen Intern Med 2018 Dec;33(12):2237-39. doi: 10.1007/s11606-018-4633-1..
Keywords: Evidence-Based Practice, Healthcare Delivery, Learning Health Systems, Implementation