National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
Topics
- Care Management (1)
- COVID-19 (1)
- Data (1)
- (-) Evidence-Based Practice (7)
- Healthcare Delivery (2)
- (-) Health Systems (7)
- Hospital Discharge (1)
- Implementation (2)
- Inpatient Care (1)
- (-) Learning Health Systems (7)
- Patient-Centered Healthcare (1)
- Patient-Centered Outcomes Research (2)
- Primary Care (2)
- Provider Performance (1)
- Public Health (1)
- Quality Improvement (1)
- Quality Measures (1)
- Quality of Care (1)
- Risk (1)
- Shared Decision Making (2)
- Training (1)
- Workforce (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 7 of 7 Research Studies DisplayedSirkin 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
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
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