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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 11 of 11 Research Studies DisplayedLewis CC, Powell BJ, Brewer SK
Advancing mechanisms of implementation to accelerate sustainable evidence-based practice integration: protocol for generating a research agenda.
This article outlines the protocol for an AHRQ-funded initiative to: 1) establish priorities for an agenda to guide research on implementation mechanisms in health and public health, and 2) disseminate the agenda to research, policy, and practice audiences. The goal is to advance mechanisms of implementation to accelerate sustainable evidence-based practice integration. A network of scientific experts will be created to convene in “Deep Dive” meetings for 3 years. The research agenda will be generated through analysis and synthesis of information from 6 sources: (1) systematic reviews, (2) network members' approaches to studying mechanisms, (3) new proposals presented in implementation proposal feedback sessions, (4) working group sessions conducted in a leading implementation research training institute, (5) breakout sessions at the Society for Implementation Research Collaboration's (SIRC) 2019 conference and (6) SIRC conference abstracts. Mechanism-relevant text segments will be extracted by two members and a third member will generate statements as an input for concept mapping.
AHRQ-funded; HS025632.
Citation: Lewis CC, Powell BJ, Brewer SK .
Advancing mechanisms of implementation to accelerate sustainable evidence-based practice integration: protocol for generating a research agenda.
BMJ Open 2021 Oct 18;11(10):e053474. doi: 10.1136/bmjopen-2021-053474..
Keywords: Implementation, Evidence-Based Practice, Research Methodologies, Health Services Research (HSR)
Murphy DR, Savoy A, Satterly T
Dashboards for visual display of patient safety data: a systematic review.
Methods to visualize patient safety data can support effective monitoring of safety events and discovery of trends. While quality dashboards are common, use and impact of dashboards to visualize patient safety event data remains poorly understood. The objective of this study was to understand development, use and direct or indirect impacts of patient safety dashboards. The investigators conducted a systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.
AHRQ-funded; HS022087; HS022901; HS027363.
Citation: Murphy DR, Savoy A, Satterly T .
Dashboards for visual display of patient safety data: a systematic review.
BMJ Health Care Inform 2021 Oct;28(1). doi: 10.1136/bmjhci-2021-100437..
Keywords: Patient Safety, Health Services Research (HSR)
Bierman AS, Wang J, O'Malley PG
AHRQ Author: Bierman AS, Wang J, O'Malley PG, Moss DK
Transforming care for people with multiple chronic conditions: Agency for Healthcare Research and Quality's research agenda.
This article describes issues addressing the needs of those with multiple chronic conditions and discusses the AHRQ research agenda.
AHRQ-authored.
Citation: Bierman AS, Wang J, O'Malley PG .
Transforming care for people with multiple chronic conditions: Agency for Healthcare Research and Quality's research agenda.
Health Serv Res 2021 Oct;56(Suppl 1):973-79. doi: 10.1111/1475-6773.13863..
Keywords: Chronic Conditions, Health Services Research (HSR), Healthcare Delivery, Quality of Care, Primary Care, Guidelines, Evidence-Based Practice
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)
Shortell SM, Gottlieb DJ, Martinez Camblor P
Hospital-based health systems 20 years later: a taxonomy for policy research and analysis.
Building on the original taxonomy of hospital-based health systems from 20 years ago, the investigators developed a new taxonomy to inform emerging public policy and practice developments. The study design included a cluster analysis of the 2016 AHA Annual Survey data to derive measures of differentiation, centralization, and integration to create categories or types of hospital-based health systems.
AHRQ-funded; HS024075.
Citation: Shortell SM, Gottlieb DJ, Martinez Camblor P .
Hospital-based health systems 20 years later: a taxonomy for policy research and analysis.
Health Serv Res 2021 Jun;56(3):453-63. doi: 10.1111/1475-6773.13621..
Keywords: Hospitals, Health Systems, Health Services Research (HSR), Policy
Sanghavi P, Jena AB, Newhouse JP
Identifying outlier patterns of inconsistent ambulance billing in Medicare.
The objective of this study was to illustrate a method that accounts for sampling variation in identifying suppliers and counties with outlying rates of a particular pattern of inconsistent billing for ambulance services to Medicare. The investigators concluded that health care fraud and abuse were frequently asserted but could be difficult to detect. They suggested that their data-driven approach may be a useful starting point for further investigation.
AHRQ-funded; 6HS022798; HS025720.
Citation: Sanghavi P, Jena AB, Newhouse JP .
Identifying outlier patterns of inconsistent ambulance billing in Medicare.
Health Serv Res 2021 Apr;56(2):188-92. doi: 10.1111/1475-6773.13622..
Keywords: Medicare, Payment, Health Services Research (HSR)
Sood E, Wysocki T, Alderfer MA
Topical review: crowdsourcing as a novel approach to qualitative research.
The purpose of this paper was to describe a novel, five-phase approach to collecting qualitative data from hard-to-reach populations using crowdsourcing methods. The phases of crowdsourcing methodology described were: (I) Preparing; (II) Forming Crowds; (III) Collecting Crowdsourced Data; (IV) Coding and Analyzing Crowdsourced Data; and (V) Generating and Disseminating Findings. The investigators concluded that crowdsourcing is an innovative, efficient, feasible, and timely approach to engaging hard-to-reach populations in qualitative research.
AHRQ-funded; HS026393.
Citation: Sood E, Wysocki T, Alderfer MA .
Topical review: crowdsourcing as a novel approach to qualitative research.
J Pediatr Psychol 2021 Feb 19;46(2):189-96. doi: 10.1093/jpepsy/jsaa096..
Keywords: Health Services Research (HSR), Research Methodologies
Rodriguez PJ, Ward ZJ, Long MW
Applied methods for estimating transition probabilities from electronic health record data.
This study examined the usefulness of electronic health records (EHRs) in estimating transition probabilities for state-transition models. No guidelines exist on appropriate methods. The authors used 3 potential methods to estimate transition probabilities for EHR data, using pediatric eating disorders (EDs) as a case study. They mapped diagnoses to 3 ED health states: anorexia nervous, bulimia nervosa, and other specified feeding or eating disorder using data from PEDsnet, which includes 8 US children’s hospitals. They used 3 approaches: simple first-last proportions, a multistate Markov (MSM) model, and independent survival models. The first-last proportion approach estimated higher probabilities of remaining the same health state, while the other two approaches estimated higher probabilities of transitioning to a different health state. Published literature differed substantially from these estimates. Further research is needed to improve methods for using EHR data to inform transition probabilities.
AHRQ-funded; HS013853.
Citation: Rodriguez PJ, Ward ZJ, Long MW .
Applied methods for estimating transition probabilities from electronic health record data.
Med Decis Making 2021 Feb;41(2):143-52. doi: 10.1177/0272989x20985752..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR), Research Methodologies
Shu D, Han P, Wang R, Toh S. D, Han P, Wang R
Estimating the marginal hazard ratio by simultaneously using a set of propensity score models: a multiply robust approach.
The inverse probability weighted Cox model is frequently used to estimate the marginal hazard ratio. Its validity requires a crucial condition that the propensity score model be correctly specified. To provide protection against misspecification of the propensity score model, the investigators proposed a weighted estimation method rooted in the empirical likelihood theory. They applied the proposed method to compare the risk of postoperative hospitalization between sleeve gastrectomy and Roux-en-Y gastric bypass using data from a large medical claims and billing database.
AHRQ-funded; HS026214.
Citation: Shu D, Han P, Wang R, Toh S. D, Han P, Wang R .
Estimating the marginal hazard ratio by simultaneously using a set of propensity score models: a multiply robust approach.
Stat Med 2021 Feb;40(5):1224-42. doi: 10.1002/sim.8837..
Keywords: Research Methodologies, Health Services Research (HSR)
Kuo YF, Lin YL, D Jupiter, et al.
How to identify team-based primary care in the United States using Medicare data.
The authors assessed whether analyses using different sets of Medicare data can produce results similar to those from analyses using 100% data from an entire state in identifying primary care teams through social network analysis. They found that, depending on specific study purposes, researchers could use either 100% data from Medicare beneficiaries in randomly selected primary care services areas or data from a 20% national sample of Medicare beneficiaries to study team-based primary care in the United States.
AHRQ-funded; HS020642.
Citation: Kuo YF, Lin YL, D Jupiter, et al..
How to identify team-based primary care in the United States using Medicare data.
Med Care 2021 Feb;59(2):118-22. doi: 10.1097/mlr.0000000000001478.
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Keywords: Teams, Primary Care: Models of Care, Primary Care, Medicare, Health Services Research (HSR), Healthcare Delivery
Thompson HM
Stakeholder experiences with gender identity data capture in electronic health records: implementation effectiveness and a visibility paradox.
Advocates have endorsed transgender visibility via gender identity (GI) data capture with the advent of the Affordable Care Act and electronic health record (EHR) requirements. Visibility in data in order to enumerate a population contrasts with ways in which other LGBT and public health scholars have deployed these concepts. This article aims to assess the effectiveness of GI data capture in EHRs and implications for trans health care quality improvements and research.
AHRQ-funded; HS026385.
Citation: Thompson HM .
Stakeholder experiences with gender identity data capture in electronic health records: implementation effectiveness and a visibility paradox.
Health Educ Behav 2021 Feb;48(1):93-101. doi: 10.1177/1090198120963102.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR), Vulnerable Populations, Sex Factors