National Healthcare Quality and Disparities Report
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- Ambulatory Care and Surgery (1)
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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 25 of 28 Research Studies DisplayedFriedman CP, Lomotan EA, Richardson JE
AHRQ Author: Lomotan EA
Socio-technical infrastructure for a learning health system.
This partially AHRQ-authored article discusses the third characteristic that contributes to the uniqueness of learning health systems (LHSs) as an approach to health improvement, specifically infrastructure. It examines the role of infrastructure in the overall architecture of an LHS and describes the three linked elements: 1) Improvement cycles directed at critical health problems; 2) Socio-technical infrastructure providing key services supporting co-occurring improvement cycles; and 3) Governance of the system. It then discusses the scope and meaning of socio-technical infrastructure and provides a diagram and brief description of the 10 interconnected socio-technical services.
AHRQ-authored.
Citation: Friedman CP, Lomotan EA, Richardson JE .
Socio-technical infrastructure for a learning health system.
Learn Health Syst 2024 Jan 16; 8(1):e10405. doi: 10.1002/lrh2.10405..
Keywords: Learning Health Systems, Health Systems
Franklin PD, Drane D
Assessment of learning health system science competency in the equity and justice domain.
This paper assessed learning health system (LHS) competency in the newly added knowledge domain of Equity and Justice. This eighth domain was adopted by AHRQ in mid-2022. The authors developed a proficiency assessment for the new equity and justice domain. The assessment criteria were iteratively defined, reviewed, and edited by content experts and trainees. The new items were developed by trainees and experts at one LHS training center with experience conducting research focused on healthcare inequities among marginalized populations. The same proficiency assessment criteria as for the other domains was applied with four levels of mastery: "no exposure," "foundational awareness," "emerging," and "proficient".
AHRQ-funded; HS026385.
Citation: Franklin PD, Drane D .
Assessment of learning health system science competency in the equity and justice domain.
Learn Health Syst 2024 Jan; 8(1):e10381. doi: 10.1002/lrh2.10381..
Keywords: Learning Health Systems, Health Systems
Yilmaz S, LeClaire M, Begnaud A
Developing LHS scholars' competency around reducing burnout and moral injury.
The study addresses the lack of a wellness competency focusing on burnout and moral injury prevention within Learning Health Systems (LHS). Experts collaborated to develop pathways for implementing such programs, emphasizing distinctions between moral injury and burnout, proposing interventions, and integrating expert input. The study found that a competency aimed at equipping scholars with skills for measuring, intervening, and embedding burnout and moral injury prevention into LHS structures, would potentially improve work lives and patient outcomes within LHS.
AHRQ-funded; HS026379.
Citation: Yilmaz S, LeClaire M, Begnaud A .
Developing LHS scholars' competency around reducing burnout and moral injury.
Learn Health Syst 2024 Jan; 8(1):e10378. doi: 10.1002/lrh2.10378..
Keywords: Learning Health Systems, Health Systems, Burnout, Provider: Health Personnel
Bierman AS, Mistry KB
AHRQ Author: Bierman AS, Mistry KB
Commentary: Achieving health equity - the role of learning health systems.
The article discussed learning health systems and their role in achieving health equity. Issues considered were prioritization of health equity, development and implementation of models of care, partnerships with patients and communities, research on the effectiveness of interventions across diverse populations, integration strategies, and multisector collaborations to address social needs. The authors concluded that by considering these issues, learning health systems can play a pivotal role in eliminating health inequities.
AHRQ-authored.
Citation: Bierman AS, Mistry KB .
Commentary: Achieving health equity - the role of learning health systems.
Healthc Policy 2023 Nov; 19(2):21-27. doi: 10.12927/hcpol.2023.27236..
Keywords: Learning Health Systems, Health Systems, Disparities
Ong T, Albon D, Amin RS
Establishing a Cystic Fibrosis Learning Network: interventions to promote collaboration and data-driven improvement at scale.
This paper describes the Cystic Fibrosis Learning Network (CFLN), which was designed to improve medical outcomes and quality of life through an intentional focus on achieving reliable evidence-based chronic care delivery and creating a system for data-driven collaborative learning. The authors described the development and growth of the CFLN considering six domains of a Network Maturity Grid: system leadership; governance and policy management; quality improvement (QI); engagement and community building; data and analytics; and research. The CFLN represents 36 accredited care centers in the CF Foundation Care Center Network caring for over 6300 patients, with 77% of 6779 patient clinical care visits/quarter entering into the Registry within 30 days. Almost all CFLN teams (94%) have a patient/family partner (PFP), and 74% of PFPs indicate they are actively participating, taking ownership of, or leading QI initiatives with the interdisciplinary care team. In 2022, most (97%) centers reported completing 1-13 improvement cycles per month, and 82% contributed to monthly QI progress reports to share learning.
AHRQ-funded; HS02639.
Citation: Ong T, Albon D, Amin RS .
Establishing a Cystic Fibrosis Learning Network: interventions to promote collaboration and data-driven improvement at scale.
Learn Health Syst 2023 Jul; 7(3):e10354. doi: 10.1002/lrh2.10354..
Keywords: Learning Health Systems, Health Systems
Harrison MI, Borsky AE
AHRQ Author: Harrison MI
How alignment between health systems and their embedded research units contributes to system learning.
This AHRQ-authored paper examined the organization of learning health system (LHS) research units and conditions affecting their contributions to system improvement and learning. The authors conducted 12 key-informant and 44 semi-structured interviews in six delivery systems engaged in LHS research. Using rapid qualitative analysis, they identified themes and compared successful versus challenging projects; LHS units and other research units in the same system; and LHS units in different systems. They found that LHS units operate both independently and as subunits within larger research centers. Key alignment factors identified were availability of internal (system) funding directing researchers' work toward system priorities; researchers' skills and experiences that fit a system's operational needs; LHS unit subculture supporting system improvement and collaboration with clinicians and other internal stakeholders; applications of external funding to system priorities; and executive leadership for system-wide learning. Direct consultation between LHS unit leaders and system executives and engagement of researchers in clinical and operational activities fostered mutual understanding and collaboration between researchers, clinicians, and leaders.
AHRQ-authored.
Citation: Harrison MI, Borsky AE .
How alignment between health systems and their embedded research units contributes to system learning.
Healthc 2023 Jun; 11(2):100688. doi: 10.1016/j.hjdsi.2023.100688..
Keywords: Health Systems, 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
Coley RY, Duan KI, Hoopes AJ
A call to integrate health equity into learning health system research training.
This paper is a call to integrate health equity into the competency domain for learning health systems (LHS) research training. In 2016, AHRQ recommended seven domains for training and mentoring researchers, but health equity was not included. Scholars in the Consortium for Applied Training to Advance the Learning health system with Scholars/Trainees (CATALyST) K12 program recommend that competency domains be extended to reflect growing demands for evidence on health inequities and interventions to alleviate them. The authors present real-life case studies in an LHS research training program that illustrate facilitators, challenges, and potential solutions at the program, funder, and research community-level to receiving training and mentorship in health equity-focused LHS science. They recommend actions in four areas for LHS research training programs: (a) integrate health equity throughout the current LHS domains; (b) develop training and mentoring in health equity; (c) establish program evaluation standards for consideration of health equity; and (d) bring forth relevant, extant expertise from the areas of health disparities research, community-based participatory research, and community-engaged health services research.
AHRQ-funded; HS026369.
Citation: Coley RY, Duan KI, Hoopes AJ .
A call to integrate health equity into learning health system research training.
Learn Health Syst 2022 Oct;6(4):e10330. doi: 10.1002/lrh2.10330..
Keywords: Learning Health Systems, Health Systems, Health Services Research (HSR), Training, Disparities
Franklin PD, Drane D, Wakschlag L
Development of a learning health system science competency assessment to guide training and proficiency assessment.
This paper describes the development of the learning health systems (LHS) Competency Assessment by the AHRQ-funded ACCELERAT K12 training program. Domain experts and trainees were recruited to define and operationalize items to include in an LHS Competency Assessment to support emerging and existing LHS scientists in prioritizing and monitoring proficiency development. The method used was to conduct sequential interviews with 18 experts who iteratively defined skills and tasks to illustrate stage in proficiency and its progression for each of 42 competencies in the seven LHS expertise domains: systems science; research questions and standards of scientific evidence; research methods; informatics; ethics of research and implementation in health systems; improvement and implementation science; and engagement, leadership, and research management. The LHS Competency Assessment was reviewed, and pilot tested by current trainees and further refinement was completed using their feedback. The LHS Competency Assessment was found to offer consistent, graded criteria across the seven LHS domains.
AHRQ-funded; HS026369.
Citation: Franklin PD, Drane D, Wakschlag L .
Development of a learning health system science competency assessment to guide training and proficiency assessment.
Learn Health Syst 2022 Oct;6(4):e10343. doi: 10.1002/lrh2.10343..
Keywords: Learning Health Systems, Health Systems, Health Services Research (HSR), Training, Education: Curriculum
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
Bradford A, Shofer M, Singh H
AHRQ Author: Shofer M, Singh H
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
This paper discusses Measure Dx, a new AHRQ resource that translates knowledge from diagnostic measurement research into actionable recommendations. This resource guides healthcare organizations to detect, analyze, and learn from diagnostic safety events as part of a continuous learning and feedback cycle. The goal of Measure Dx is to advance new frontiers in reducing preventable diagnostic harm to patients.
AHRQ-authored; AHRQ-funded; 233201500022I; HS027363.
Citation: Bradford A, Shofer M, Singh H .
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
Int J Qual Health Care 2022 Sep 10;34(3). doi: 10.1093/intqhc/mzac068..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality Improvement, Quality of Care, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Systems, Learning Health Systems
Perlin J, Sands K, Meyers D
AHRQ Author: Meyers D
Harnessing COVID-19 data through collaboration-rhe Consortium of HCA Healthcare and Academia for Research Generation.
This article describes the rapid initiation of a COVID-19 research consortium known as CHARGE (Consortium of HCA Healthcare and Academia for Research Generation), a multi-institution research partnership in conjunction AHRQ, and its resulting application of the learning health system model. HCA Healthcare developed a curated registry of data during the care of
121, 000 inpatients with COVID-19 in 2020, and AHRQ, along with other partners, helped guide the development of CHARGE to facilitate external researchers using registry data to expand evidence regarding the best management of COVID-19. While HCA Healthcare retained full control of its registry data sets and their use, consortium members were provided academic freedom to conduct approved studies. Through the process, 10 research projects were approved through March 2022. Topics included therapeutic efficacy, health equity, risk stratification, operation efficiency, and predictive models for COVID-19 outcomes. Operational support for all workgroups, including database management, subject matter expertise, legal and privacy consultation, and other support, was provided by HCA Healthcare. The researchers concluded that the development of CHARGE facilitated the development of research partnerships and data solutions to utilize immense amounts of health care data collected during the care of a large influx of critically ill patients.
121, 000 inpatients with COVID-19 in 2020, and AHRQ, along with other partners, helped guide the development of CHARGE to facilitate external researchers using registry data to expand evidence regarding the best management of COVID-19. While HCA Healthcare retained full control of its registry data sets and their use, consortium members were provided academic freedom to conduct approved studies. Through the process, 10 research projects were approved through March 2022. Topics included therapeutic efficacy, health equity, risk stratification, operation efficiency, and predictive models for COVID-19 outcomes. Operational support for all workgroups, including database management, subject matter expertise, legal and privacy consultation, and other support, was provided by HCA Healthcare. The researchers concluded that the development of CHARGE facilitated the development of research partnerships and data solutions to utilize immense amounts of health care data collected during the care of a large influx of critically ill patients.
AHRQ-authored.
Citation: Perlin J, Sands K, Meyers D .
Harnessing COVID-19 data through collaboration-rhe Consortium of HCA Healthcare and Academia for Research Generation.
JAMA Health Forum 2022 May 6;3(5):e220874. doi: 10.1001/jamahealthforum.2022.0874..
Keywords: COVID-19, Learning Health Systems, Health Systems, Registries
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
Pestka DL, White KM, DeRoche KK
'Trying to fly the plane while we were building it'. applying a learning health systems approach to evaluate early-stage barriers and facilitators to implementing primary care transformation: a qualitative study.
This study’s objective was to examine the use of a learning health system (LHS) in primary care transformation (PCT) by utilizing the Consolidated Framework for Implementation Research (CFIR) to categorize implementation lessons. A large integrated health delivery system in Minnesota began implementation of a population management PCT in two of its 40 primary care clinics in May 2019. Semistructured qualitative interviews were conducted and observational field notes were taken. Inductive coding of the data was performed, and resultant codes were mapped to the CFIR. Seventeen codes emerged to describe care team members from the two clinics to adopt PCT occurring in each of the five CFIR domains (intervention characteristics, outer setting, inner setting, characteristics of individuals and process), with most codes occurring in the ‘inner setting’ domain.
AHRQ-funded; HS026379.
Citation: Pestka DL, White KM, DeRoche KK .
'Trying to fly the plane while we were building it'. applying a learning health systems approach to evaluate early-stage barriers and facilitators to implementing primary care transformation: a qualitative study.
BMJ Open 2022 Jan 3;12(1):e053209. doi: 10.1136/bmjopen-2021-053209..
Keywords: Learning Health Systems, Health Systems, Primary Care, Practice Improvement
Henriksen K, Rodrick D, Grace EN
AHRQ Author: Henriksen K, Rodrick D, Grace EN, Shofer M, Brady, JP
Pursuing patient safety at the intersection of design, systems engineering, and health care delivery research: an ongoing assessment.
This article describes a grant initiative undertaken by AHRQ that brings design, systems engineering, and health care delivery research together to test new ideas that could make health care safer. Based on feedback received from project teams, lessons learned are emerging that find considerable variation among project teams in deploying the methodology and a longer-than-anticipated amount of time in bringing team members from different disciplines together where they learn to communicate and function as a team. Three narratives are generated in terms of what success might look like.
AHRQ-authored.
Citation: Henriksen K, Rodrick D, Grace EN .
Pursuing patient safety at the intersection of design, systems engineering, and health care delivery research: an ongoing assessment.
J Patient Saf 2021 Dec 1;17(8):e1685-e90. doi: 10.1097/pts.0000000000000577..
Keywords: Patient Safety, Healthcare Delivery, Learning Health Systems, Health Systems
Atkinson MK, Singer SJ
Managing organizational constraints in innovation teams: a qualitative study across four health systems.
This study examined how interdisciplinary teams are affected by and manage external constraints over the lifecycle of their innovation project. The authors used a multimethod qualitative approach consisting of over 3 years of participant observation data to analyze how four interdisciplinary teams across different health system experienced and managed constraints as they pursued process innovations. Their findings point to several practical implications concerning innovation processes in healthcare: 1) how conditions in the organizational context, or constraints, can impede team progress at different stages of innovation; and 2) the collective efforts, or tactics, teams use to manage or work around those constraints to further progress on their innovations.
AHRQ-funded; HS024453.
Citation: Atkinson MK, Singer SJ .
Managing organizational constraints in innovation teams: a qualitative study across four health systems.
Med Care Res Rev 2021 Oct;78(5):521-36. doi: 10.1177/1077558720925993..
Keywords: Learning Health Systems, Health Systems, Teams
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
Yano EM, Resnick A, Gluck M
AHRQ Author: Kwon H, Mistry KB
Accelerating learning healthcare system development through embedded research: career trajectories, training needs, and strategies for managing and supporting embedded researchers.
Health systems and organizations seeking to achieve learning healthcare system principles are increasingly relying on embedded research teams to optimize delivery of evidence-based, high-quality care that improves patient and staff experience alike. In February 2018, 115 attendees from multiple agencies, institutions and professional societies participated in a conference to accelerate development of learning healthcare systems through embedded research. This paper describes the process.
AHRQ-authored.
Citation: Yano EM, Resnick A, Gluck M .
Accelerating learning healthcare system development through embedded research: career trajectories, training needs, and strategies for managing and supporting embedded researchers.
Healthc 2021 Jun;8(Suppl 1):100479. doi: 10.1016/j.hjdsi.2020.100479..
Keywords: Learning Health Systems, Health Systems, Health Services Research (HSR)
Harrison MI, Shortell SM
AHRQ Author: Harrison MI
Multi-level analysis of the learning health system: Integrating contributions from research on organizations and implementation.
The authors have developed a comprehensive, multilevel framework to inform learning health systems (LHSs) research and practice in order to enhance both research on LHSs and practical steps toward their development. Drawing on the Consolidated Framework for Implementation Research, the social-ecological framework, and the organizational change framework, their new framework can help investigators and practitioners broadly scan and then investigate forces influencing improvement and learning and may point to otherwise unnoticed interactions among influential factors.
AHRQ-authored.
Citation: Harrison MI, Shortell SM .
Multi-level analysis of the learning health system: Integrating contributions from research on organizations and implementation.
Learn Health Syst 2021 Apr;5(2):e10226. doi: 10.1002/lrh2.10226..
Keywords: Learning Health Systems, Health Systems, Implementation, Organizational Change
Graves JA, Nshuti L, Everson J
Breadth and exclusivity of hospital and physician networks in US insurance markets.
The goal of this study was to quantify network breadth and overlap among primary care physician (PCP), cardiology, and general acute care hospital networks for employer-based (large group and small group), individually purchased (marketplace), Medicare Advantage (MA), and Medicaid managed care (MMC) plans. The main outcomes measured were percentage of in-network physicians and/or hospitals within a 60-minute drive from a hypothetical patient in a given zip code (breadth), and the number of physicians and/or hospitals within each network that overlapped with other insurers' networks, expressed as a percentage of the total possible number of shared connections (exclusivity). Networks were categorized by network breadth size and analyzed by insurance type, state, and insurance, physician, and/or hospital market concentration level, as measured by the Hirschman-Herfindahl index. Markets with concentrated primary care and insurance markets had the broadest and least exclusive primary care networks among large-group commercial plans. Markets with the least concentration had the narrowest and most exclusive networks. Rising levels of insurer and market concentration were associated with broader and less exclusive healthcare networks. The authors suggest that this means that patients could switch to a lower-cost, narrow network plan without losing-in-network coverage to their PCP.
AHRQ-funded; HS025976; HS026395.
Citation: Graves JA, Nshuti L, Everson J .
Breadth and exclusivity of hospital and physician networks in US insurance markets.
JAMA Netw Open 2020 Dec;3(12):e2029419. doi: 10.1001/jamanetworkopen.2020.29419..
Keywords: Health Insurance, Learning Health Systems, Health Systems, Primary Care, Hospitals, Healthcare Delivery
Hernandez AV, Roman YM, White CM
Developing criteria and associated instructions for consistent and useful quality improvement study data extraction for health systems.
This paper describes AHRQ’s efforts to collate and assess quality improvement studies to support learning health systems (LHS). The authors identified quality improvement studies and evaluated the consistency of data extraction from two experienced independent reviewers at three time points: baseline, first revision, and final revision. Six investigators looked at the data extracted by the independent reviewers and determined the extent of similarity on a scale of 0 to 10. Two LHS participants were then asked to assess the relative value of their criteria. The consistency of extraction improved from a mean 1.17 score at baseline to 6.07 at first revision, and 6.81 at the final revision. There was not a significant improvement from the first to final revision. However, the LHS participants rated the value of these ratings a 9 and a 6, demonstrating that there is value in developing criteria.
AHRQ-funded; 290201500012I.
Citation: Hernandez AV, Roman YM, White CM .
Developing criteria and associated instructions for consistent and useful quality improvement study data extraction for health systems.
J Gen Intern Med 2020 Nov;35(Suppl 2):802-07. doi: 10.1007/s11606-020-06098-1..
Keywords: Quality Improvement, Quality of Care, Learning Health Systems, Health Systems, Health Services Research (HSR), Research Methodologies
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
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
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
Adler-Milstein J, Nong P, Friedman CP
AHRQ Author: Adler-Milstein J
Preparing healthcare delivery organizations for managing computable knowledge.
This article describes results of an AHRQ-funded conference where a group of experts from a range of fields examined the current state of knowledge management in healthcare delivery organizations. Conference presentations and discussions were recorded and analyzed by the authors in order to identify foundational concepts. The concepts identified are: the current state of knowledge management in healthcare delivery organizations is reliant upon an outdated biomedical library model, and only a small number of organizations have developed management approaches to push knowledge in computable form to frontline decisions; Learning Health Systems create a need for scalable computable knowledge management approaches; the ability to represent data science discoveries in computable form that are findable, accessible, interoperable, and reusable is fundamental to spreading knowledge at scale.
AHRQ-funded; HS025316.
Citation: Adler-Milstein J, Nong P, Friedman CP .
Preparing healthcare delivery organizations for managing computable knowledge.
Learn Health Syst 2019 Apr;3(2):e10070. doi: 10.1002/lrh2.10070..
Keywords: Healthcare Delivery, Learning Health Systems, Organizational Change, Health Systems