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
AHRQ Research Studies Date
Topics
- Access to Care (1)
- Ambulatory Care and Surgery (2)
- Anxiety (1)
- Behavioral Health (3)
- Cancer (1)
- Cancer: Breast Cancer (1)
- Cancer: Colorectal Cancer (1)
- Cancer: Lung Cancer (1)
- Case Study (1)
- Children/Adolescents (3)
- Chronic Conditions (2)
- Communication (1)
- COVID-19 (1)
- Critical Care (1)
- Cultural Competence (1)
- Depression (1)
- Diagnostic Safety and Quality (1)
- Education: Academic (1)
- Education: Continuing Medical Education (1)
- Elderly (1)
- Electronic Health Records (EHRs) (6)
- Emergency Department (2)
- Evidence-Based Practice (6)
- Guidelines (1)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Healthcare Costs (1)
- Healthcare Delivery (6)
- Health Information Technology (HIT) (9)
- Health Insurance (1)
- Health Literacy (1)
- (-) Health Services Research (HSR) (46)
- Health Systems (4)
- Hospital Readmissions (1)
- Hospitals (1)
- Implementation (5)
- Learning Health Systems (2)
- Medicaid (1)
- Medical Expenditure Panel Survey (MEPS) (1)
- Medicare (3)
- Medication (1)
- Neurological Disorders (1)
- Nursing (1)
- Nursing Homes (1)
- Obesity (1)
- Obesity: Weight Management (1)
- Organizational Change (1)
- Orthopedics (1)
- Outcomes (1)
- Pain (1)
- Patient-Centered Healthcare (1)
- Patient-Centered Outcomes Research (2)
- Patient and Family Engagement (2)
- Patient Safety (1)
- Payment (1)
- Policy (4)
- Primary Care (4)
- Primary Care: Models of Care (1)
- Provider (2)
- Provider: Pharmacist (1)
- Provider: Physician (1)
- Public Health (1)
- Quality Improvement (2)
- Quality of Care (3)
- Racial and Ethnic Minorities (1)
- Research Methodologies (24)
- Risk (1)
- Rural Health (1)
- Screening (1)
- Sex Factors (1)
- Social Determinants of Health (1)
- Surgery (3)
- Teams (1)
- Urban Health (1)
- Vulnerable Populations (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 25 of 46 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.
.
.
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.
.
.
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR), Vulnerable Populations, Sex Factors
Singer SJ, Sinaiko AD, Tietschert MV
Care integration within and outside health system boundaries.
The purpose of this study was to examine care integration-efforts to unify disparate parts of health care organizations to generate synergy across activities occurring within and between them-to understand whether and at which organizational level health systems impact care quality and staff experience. The investigators concluded that measures of clinical process integration related to higher staff ratings of quality and experience.
AHRQ-funded; HS024067.
Citation: Singer SJ, Sinaiko AD, Tietschert MV .
Care integration within and outside health system boundaries.
Health Serv Res 2020 Dec;55(Suppl 3):1033-48. doi: 10.1111/1475-6773.13578..
Keywords: Health Systems, Healthcare Delivery, Health Services Research (HSR), Research Methodologies
Kang M, Gurbani SS, Kempker JA
The published scientific literature on COVID-19: an analysis of PubMed abstracts.
This article describes a PubMed search done on the published scientific literature on COVID-19 from first reporting of the virus in late December 2019 through Nov. 9, 2020. A total of 57,263 articles were included, with 34% ahead of print, 25.1% e-published, and 40.9% print published at the time of data extraction. There was a peak of 2277 articles the week of May 11. The origin countries of publication were United States (35.7%), followed by England (27%), and the Netherlands (8.7%). Most publications (98%) were in English followed by less than 1% each in Spanish, German, and French.
AHRQ-funded; HS025240.
Citation: Kang M, Gurbani SS, Kempker JA .
The published scientific literature on COVID-19: an analysis of PubMed abstracts.
J Med Syst 2020 Nov 25;45(1):3. doi: 10.1007/s10916-020-01678-4..
Keywords: COVID-19, Public Health, Research Methodologies, Health Services Research (HSR)
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
Ward TM, Skubic M, Rantz M
Human-centered approaches that integrate sensor technology across the lifespan: opportunities and challenges.
Children, parents, older adults, and caregivers routinely use sensor technology as a source of health information and health monitoring. The purpose of this paper was to describe three exemplars of research that used a human-centered approach to engage participants in the development, design, and usability of interventions that integrate technology to promote health. The exemplars were based on current research studies that integrated sensor technology into pediatric, adult, and older adult populations living with a chronic health condition.
AHRQ-funded; HS018477.
Citation: Ward TM, Skubic M, Rantz M .
Human-centered approaches that integrate sensor technology across the lifespan: opportunities and challenges.
Nurs Outlook 2020 Nov-Dec;68(6):734-44. doi: 10.1016/j.outlook.2020.05.004..
Keywords: Health Information Technology (HIT), Patient and Family Engagement, Health Services Research (HSR), Research Methodologies
Carroll AR, Johnson DP
Know it when you see it: identifying and using special cause variation for quality improvement.
This article concerning an article that appears in the same issue discusses statistical process control charts. The authors conclude that by understanding the rules of special cause variation and applying them to data in real time, teams will be provided with information that will inform hypotheses testing, bolster knowledge about a system, and ultimately accelerate improvement work.
AHRQ-funded; HS026122.
Citation: Carroll AR, Johnson DP .
Know it when you see it: identifying and using special cause variation for quality improvement.
Hosp Pediatr 2020 Nov;10(11):e8-e10. doi: 10.1542/hpeds.2020-002303..
Keywords: Quality Improvement, Quality of Care, Health Services Research (HSR)
Anzuoni K, Field TS, Mazor KM
Recruitment challenges for low-risk health system intervention trials in older adults: a case study.
Researchers assessed factors associated with trial participation in the context of a low-risk intervention intended to reduce adverse drug events in recently hospitalized older adults. They found that recruiting older adults recently discharged from the hospital to participate in trials of low-risk, system-level interventions was challenging and may under-enroll the oldest individuals and those potentially at the highest risk for adverse events, limiting generalizability of study findings.
AHRQ-funded; HS023774.
Citation: Anzuoni K, Field TS, Mazor KM .
Recruitment challenges for low-risk health system intervention trials in older adults: a case study.
J Am Geriatr Soc 2020 Nov;68(11):2558-64. doi: 10.1111/jgs.16696..
Keywords: Elderly, Case Study, Research Methodologies, Health Services Research (HSR), Medication
Gance-Cleveland B, McDonald CC, Walker RK
Use of theory to guide development and application of sensor technologies in nursing.
In this paper, three nurse scientists summarize their presentations at the Council for the Advancement of Nursing Science 2019 Advanced Methods Conference on Expanding Science of Sensor Technology in Research discussing the theoretical underpinnings of sensor technologies development and use in nursing research and practice.
AHRQ-funded; HS024738; HS018646.
Citation: Gance-Cleveland B, McDonald CC, Walker RK .
Use of theory to guide development and application of sensor technologies in nursing.
Nurs Outlook 2020 Nov-Dec;68(6):698-710. doi: 10.1016/j.outlook.2020.04.007..
Keywords: Health Information Technology (HIT), Nursing, Health Services Research (HSR), Research Methodologies
Santry HP, Strassels SA, Ingraham AM
Identifying the fundamental structures and processes of care contributing to emergency general surgery quality using a mixed-methods Donabedian approach.
Acute Care Surgery (ACS) was developed as a structured, team-based approach to providing round-the-clock emergency general surgery (EGS) care for adult patients needing treatment for diseases such as cholecystitis, gastrointestinal perforation, and necrotizing fasciitis. In this study, the investigators sought to use a Donabedian approach to elucidate potential EGS structures and processes that might be associated with improved outcomes as an initial step in designing the optimal model of acute care surgery care for EGS patients.
AHRQ-funded; HS022694.
Citation: Santry HP, Strassels SA, Ingraham AM .
Identifying the fundamental structures and processes of care contributing to emergency general surgery quality using a mixed-methods Donabedian approach.
BMC Med Res Methodol 2020 Oct 2;20(1):247. doi: 10.1186/s12874-020-01096-7..
Keywords: Surgery, Critical Care, Healthcare Delivery, Health Services Research (HSR), Research Methodologies
Callejo-Black A, Wagner DV, Ramanujam K
A systematic review of external validity in pediatric integrated primary care trials.
This study used the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework to conduct a systematic review of external validity reporting in integrated primary care (IPC) interventions for mental health concerns. A literature search was conducted to identify relevant literature from 1998 to 2018 reporting on open, randomized or quasi-randomized trials of IPC interventions that targeted child (ages 0-18 years) psychological symptoms. The authors included 39 publications describing 25 studies in the review. Publications rarely reported indicators of external validity, including the representatives of participants (12%), rate of adoption clinics or providers (16%), cost of implementation (8%), or evidence of maintenance (16%). Few studies also included key pragmatic factors such as cost or organizational change processes related to implementation and maintenance.
AHRQ-funded; HS022981.
Citation: Callejo-Black A, Wagner DV, Ramanujam K .
A systematic review of external validity in pediatric integrated primary care trials.
J Pediatr Psychol 2020 Oct 1;45(9):1039-52. doi: 10.1093/jpepsy/jsaa068..
Keywords: Children/Adolescents, Primary Care, Behavioral Health, Healthcare Delivery, Evidence-Based Practice, Health Services Research (HSR), Research Methodologies
Smith JD, Li DH, Rafferty MR
The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects.
Numerous models, frameworks, and theories exist for specific aspects of implementation research (IR). However, IR projects often fail to provide a coherent rationale or justification for how these aspects are selected and tested in relation to one another. Despite this need to better specify the conceptual linkages between the core elements involved in projects, few tools or methods have been developed to aid in this task. In this paper, the investigators describe the Implementation Research Logic Model (IRLM) which was created for this purpose.
AHRQ-funded; HS025077.
Citation: Smith JD, Li DH, Rafferty MR .
The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects.
Implement Sci 2020 Sep 25;15(1):84. doi: 10.1186/s13012-020-01041-8.
.
.
Keywords: Implementation, Health Services Research (HSR)
Li X, Lewis KH, Callaway K
Suitability of administrative claims databases for bariatric surgery research - is the glass half-full or half-empty?
The authors assessed the availability and validity of claims-based weight-related diagnosis codes among bariatric surgery patients who underwent adjusted gastric banding, Roux-en-Y gastric bypass, or sleeve gastrectomy. They found that claims-based weight-related diagnosis codes had excellent validity before and after bariatric surgical operation but suboptimal availability after operation. Claims databases can be used for bariatric surgery studies of non-weight-related effectiveness and safety outcomes that are well-captured.
AHRQ-funded; HS026214.
Citation: Li X, Lewis KH, Callaway K .
Suitability of administrative claims databases for bariatric surgery research - is the glass half-full or half-empty?
BMC Med Res Methodol 2020 Sep 7;20(1):225. doi: 10.1186/s12874-020-01106-8..
Keywords: Obesity: Weight Management, Obesity, Surgery, Health Services Research (HSR), Research Methodologies
O'Malley AJ, Park S
A novel cluster sampling design that couples multiple surveys to support multiple inferential objectives.
The authors of this paper designed a new sampling methodology for complex health systems that own practices or hospitals to assess the relationship between health organization factors and health outcomes. These complex organizations complicate the construction of optimal survey designs. The authors developed an alternative approach based on constraining the sampling design to satisfy desired statistical properties. They illustrated the new sampling methodology by developing the constraints and solving the ensuing systems of equations to obtain the sampling design for the National Survey of United States Health Care Systems, Hospitals and Practices. They used what they called “coupled” sampling by comparing the proportion of eligible systems for whom the corporate owner and both a hospital and a practice can be used for.
AHRQ-funded; HS024075.
Citation: O'Malley AJ, Park S .
A novel cluster sampling design that couples multiple surveys to support multiple inferential objectives.
Health Serv Outcomes Res Methodol 2020 Sep;20(2-3):85-110. doi: 10.1007/s10742-020-00210-y..
Keywords: Research Methodologies, Health Services Research (HSR)
Burke RE, Canamucio A, Medvedeva E
External validation of the skilled nursing facility prognosis score for predicting mortality, hospital readmission, and community discharge in veterans.
The goal of this study was to evaluate the Skilled Nursing Facility (SNF) Prognosis Score’s performance in an external validation cohort. Participants were previously community-dwelling veterans who received post-acute care in a SNF; both VA and non-VA hospitals and SNFs were included. Findings showed that the SNF Prognosis Score had reasonable discrimination and calibration, and it was simple to calculate using an admission SNF assessment and a nomogram. Recommendations included future work embedding the score into practice in order to determine real-world feasibility, acceptability, and effectiveness.
AHRQ-funded; HS026116.
Citation: Burke RE, Canamucio A, Medvedeva E .
External validation of the skilled nursing facility prognosis score for predicting mortality, hospital readmission, and community discharge in veterans.
J Am Geriatr Soc 2020 Sep;68(9):2090-94. doi: 10.1111/jgs.16650..
Keywords: Nursing Homes, Risk, Health Services Research (HSR)
Landes SJ, Kerns SEU, Pilar MR
Proceedings of the Fifth Biennial Conference of the Society for Implementation Research Collaboration (SIRC) 2019: where the rubber meets the road: the intersection of research, policy, and practice - part 1.
This paper offers a compilation of the abstracts of the oral and poster presentations from the 2019 Society for Implementation Research Collaboration (SIRC) Conference entitled “Where the Rubber Meets the Road: The Intersection of Research, Policy, and Practice” held in Seattle from 12-14 September. The society had evolved following a NIMH-funded conference grant and is now an international society. The conference included 432 attendees. Highlights of the conference are described.
AHRQ-funded; HS025632.
Citation: Landes SJ, Kerns SEU, Pilar MR .
Proceedings of the Fifth Biennial Conference of the Society for Implementation Research Collaboration (SIRC) 2019: where the rubber meets the road: the intersection of research, policy, and practice - part 1.
Implement Sci 2020 Sep 30;15(Suppl 3):76. doi: 10.1186/s13012-020-01034-7..
Keywords: Implementation, Health Services Research (HSR), Evidence-Based Practice, Policy, Research Methodologies