National Healthcare Quality and Disparities Report
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- Adverse Events (4)
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- (-) Provider Performance (69)
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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
26 to 50 of 69 Research Studies DisplayedEze-Ajoku E, Lavoie M, DeCamp M
Exploring the evidence base behind quality measures.
This study examined the strength of evidence behind quality measures used in Medicare’s 2016 Shared Savings Program. These measures apply to more than 430 accountable care organizations (ACOs). Differences existed in the grading systems used and the evidentiary strength. Based on average ACO performance, performance appeared to be lower in the moderate evidence category (overall average, 61 percent) compared to the high evidence category (overall average, 77 percent).
AHRQ-funded; HS023684.
Citation: Eze-Ajoku E, Lavoie M, DeCamp M .
Exploring the evidence base behind quality measures.
Am J Med Qual 2018 May/Jun;33(3):321-22. doi: 10.1177/1062860617721645.
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Keywords: Evidence-Based Practice, Medicare, Payment, Provider Performance, Quality Measures
Bowen ME, Bhat D, Fish J
Improving performance on preventive health quality measures using clinical decision support to capture care done elsewhere and patient exceptions.
This before-after study was conducted to examine the ability of clinical decision support (CDS) to improve performance on preventive quality measures, capture clinician-reported services completed elsewhere, and patient/medical exceptions and to describe their impact on quality measurement.
AHRQ-funded; HS022418.
Citation: Bowen ME, Bhat D, Fish J .
Improving performance on preventive health quality measures using clinical decision support to capture care done elsewhere and patient exceptions.
Am J Med Qual 2018 May/Jun;33(3):237-45. doi: 10.1177/1062860617732830..
Keywords: Clinical Decision Support (CDS), Prevention, Provider Performance, Quality Improvement, Quality Measures, Quality Measures
Nguyen OK, Makam AN, Clark C
Predicting 30-day hospital readmissions in acute myocardial infarction: the AMI "READMITS" (Renal Function, Elevated Brain Natriuretic Peptide, Age, Diabetes Mellitus, Nonmale Sex, Intervention with Timely Percutaneous Coronary Intervention, and Low Systo
This study sought to develop an actionable and accurate acute myocardial infarction (AMI) readmission risk prediction model to identify high-risk patients as early as possible during hospitalization. The investigators found that the parsimonious AMI READMITS score enables early prospective identification of high-risk AMI patients for targeted readmissions reduction interventions within the first 24 hours of hospitalization. A full-stay AMI readmission model only modestly outperformed the AMI READMITS score in terms of discrimination, but surprisingly did not meaningfully improve reclassification.
AHRQ-funded; HS022418.
Citation: Nguyen OK, Makam AN, Clark C .
Predicting 30-day hospital readmissions in acute myocardial infarction: the AMI "READMITS" (Renal Function, Elevated Brain Natriuretic Peptide, Age, Diabetes Mellitus, Nonmale Sex, Intervention with Timely Percutaneous Coronary Intervention, and Low Systo
J Am Heart Assoc 2018 Apr 17;7(8). doi: 10.1161/jaha.118.008882..
Keywords: Hospital Readmissions, Heart Disease and Health, Provider Performance, Risk
de Cordova PB
Excess mortality associated with weekend hospital admissions may be due to patient-level differences, rather than reduced staffing or services.
The author comments on a study by Walker that explained the weekend effect as arising from differences in patient characteristics among patients who present to the emergency department on the weekend. For staffing, Walker used a proxy measure because staffing information was not available. The author cautions that, although a clear rationale was provided, there should be acknowledgement that use of a proxy, whether for illness severity or staffing, may alter results.
AHRQ-funded; HS024339.
Citation: de Cordova PB .
Excess mortality associated with weekend hospital admissions may be due to patient-level differences, rather than reduced staffing or services.
Evid Based Nurs 2018 Apr;21(2):49. doi: 10.1136/eb-2017-102779.
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Keywords: Healthcare Delivery, Health Services Research (HSR), Hospitalization, Mortality, Provider Performance
Sheehan FH, Zierler RE
Simulation for competency assessment in vascular and cardiac ultrasound.
This paper discusses the use of simulation for competency-based medical education (CBME) in diagnostic ultrasound. The authors suggest that the use of simulation for CBME in diagnostic ultrasound is particularly appealing since it incorporates both the psychomotor and cognitive domains while eliminating dependency on the availability of live patients with a range of pathology. However, successful application of simulation in this setting requires realistic, full-featured simulators and appropriate standardized metrics for competency testing.
AHRQ-funded; HS024219.
Citation: Sheehan FH, Zierler RE .
Simulation for competency assessment in vascular and cardiac ultrasound.
Vasc Med 2018 Apr;23(2):172-80. doi: 10.1177/1358863x17751656..
Keywords: Education: Continuing Medical Education, Provider Performance
Sawyer JM, Anton NE, Korndorffer JR
Time crunch: increasing the efficiency of assessment of technical surgical skill via brief video clips.
Video review for assessment of surgical performance is gaining popularity but is time consuming for busy expert reviewers, making review delays inevitable. The study authors hypothesized that a shorter duration video clip would not affect the quality of expert ratings compared with full-length review. Their hypothesis was rejected as shorter video durations for surgical performance assessment led to inflated reviewer ratings both for expert and novice reviewers. They concluded that shortening duration of the video could not be recommended for accurate performance assessment.
AHRQ-funded; HS022080.
Citation: Sawyer JM, Anton NE, Korndorffer JR .
Time crunch: increasing the efficiency of assessment of technical surgical skill via brief video clips.
Surgery 2018 Apr;163(4):933-37. doi: 10.1016/j.surg.2017.11.011..
Keywords: Surgery, Quality of Care, Provider Performance, Quality Measures
Taylor LK, Thomas GW, Karam MD
Developing an objective assessment of surgical performance from operating room video and surgical imagery.
IISE Trans Healthc Syst Eng 2018;88(2):110-16. doi: 10.1080/24725579.2017.1418767.
An unbiased, repeatable process for assessing operating room performance is an important step toward quantifying the relationship between surgical training and performance. This study analyzed the following performance measures: duration of wire navigation, number of fluoroscopic images collected, degree of intervention by the surgeon's supervisor, and the tip-apex distance (TAD). The study results indicated that two metrics of hip fracture wire navigation performance, duration and TAD, significantly differentiated surgical experience.
An unbiased, repeatable process for assessing operating room performance is an important step toward quantifying the relationship between surgical training and performance. This study analyzed the following performance measures: duration of wire navigation, number of fluoroscopic images collected, degree of intervention by the surgeon's supervisor, and the tip-apex distance (TAD). The study results indicated that two metrics of hip fracture wire navigation performance, duration and TAD, significantly differentiated surgical experience.
AHRQ-funded; HS022077.
Citation: Taylor LK, Thomas GW, Karam MD .
Developing an objective assessment of surgical performance from operating room video and surgical imagery.
IISE Trans Healthc Syst Eng 2018;88(2):110-16. doi: 10.1080/24725579.2017.1418767..
Keywords: Provider Performance, Surgery, Training, Education: Continuing Medical Education
Ryskina KL, Konetzka RT, Werner RM
Association between 5-Star nursing home report card ratings and potentially preventable hospitalizations.
The goal of this study was to test whether the improvements in nursing homes’ 5-star ratings were correlated with reductions in rates of hospitalization; the researchers’ hypothesis was that increased attention to ratings motivated nursing homes to make changes to improve ratings but did not affect hospitalization rate, resulting in a weakened association between ratings and hospitalizations. 2007-2010 Medicare hospital claims and nursing home clinical assessment data were used to compare the correlation between nursing homes’ ratings and hospitalization rates. Correlation weakened slightly after the ratings became publicly available. The researchers conclude that improvements in nursing home ratings after the release of Medicare's 5-star rating system were not accompanied by improvements in a broader measure of outcomes for post-acute care patients and, although this dissociation may be due to additional factors, the 5-star ratings became less meaningful as an indicator of nursing home quality for these patients.
AHRQ-funded; HS021861.
Citation: Ryskina KL, Konetzka RT, Werner RM .
Association between 5-Star nursing home report card ratings and potentially preventable hospitalizations.
Inquiry 2018 Jan-Dec;55:46958018787323. doi: 10.1177/0046958018787323..
Keywords: Elderly, Nursing Homes, Medicare, Quality Indicators (QIs), Provider Performance, Quality Measures, Hospitalization, Quality of Care
Govindan S, Wallace B, Iwashyna TJ
Do experts understand performance measures? A mixed-methods study of infection preventionists.
This study assessed expert interpretation of CLABSI quality data using a cross-sectional survey of members of the Society for Healthcare Epidemiology of America (SHEA) Research Network (SRN). The investigators found that significant variability in the interpretation of CLABSI data exists among experts. They assert that this finding is likely related to data complexity, particularly with respect to risk-adjusted data. They suggest that improvements appear necessary in data sharing and public policy efforts to account for this complexity.
AHRQ-funded; HS022835.
Citation: Govindan S, Wallace B, Iwashyna TJ .
Do experts understand performance measures? A mixed-methods study of infection preventionists.
Infect Control Hosp Epidemiol 2018 Jan;39(1):71-76. doi: 10.1017/ice.2017.243..
Keywords: Catheter-Associated Urinary Tract Infection (CAUTI), Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Provider, Provider Performance, Quality of Care, Quality Measures
Catchpole K, Neyens DM, Abernathy J
Framework for direct observation of performance and safety in healthcare.
This viewpoint paper discusses non-participant direct observation of healthcare processes as a rich method for understanding safety and performance improvement. The authors suggest that as a prospective method for error prediction and modelling, observation can capture a broad range of performance issues that can be related to higher aspects of the system.
AHRQ-funded; HS024380.
Citation: Catchpole K, Neyens DM, Abernathy J .
Framework for direct observation of performance and safety in healthcare.
BMJ Qual Saf 2017 Dec;26(12):1015-21. doi: 10.1136/bmjqs-2016-006407..
Keywords: Healthcare Delivery, Patient Safety, Provider Performance, Quality Improvement
Paddock SM, Damberg CL, Yanagihara D
What role does efficiency play in understanding the relationship between cost and quality in physician organizations?
Previous studies demonstrate overuse of a narrow set of services, suggesting provider inefficiency, but existing studies neither quantify inefficiency more broadly nor assess its variation across physician organizations (POs). This study found that POs had substantial variation in efficiency, producing widely differing levels of quality for the same cost.
AHRQ-funded; HS021860.
Citation: Paddock SM, Damberg CL, Yanagihara D .
What role does efficiency play in understanding the relationship between cost and quality in physician organizations?
Med Care 2017 Dec;55(12):1039-45. doi: 10.1097/mlr.0000000000000823.
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Keywords: Practice Patterns, Healthcare Costs, Quality of Care, Quality Improvement, Payment, Provider Performance
Masnick M, Morgan DJ, Sorkin JD
Can national healthcare-associated infections (HAIs) data differentiate hospitals in the United States?
This study was designed to determine whether patients using the Centers for Medicare and Medicaid Services (CMS) Hospital Compare website can use nationally reported healthcare-associated infection (HAI) data to differentiate hospitals. The authors concluded that HAI data generally are reported by enough hospitals to meet minimal criteria for useful comparisons in many geographic locations, though this varies by type of HAI.
AHRQ-funded; HS018111.
Citation: Masnick M, Morgan DJ, Sorkin JD .
Can national healthcare-associated infections (HAIs) data differentiate hospitals in the United States?
Infect Control Hosp Epidemiol 2017 Oct;38(10):1167-71. doi: 10.1017/ice.2017.179..
Keywords: Quality of Care, Healthcare-Associated Infections (HAIs), Hospitals, Provider Performance, Quality Measures
Adams JL, Paddock SM
Misclassification risk of tier-based physician quality performance systems.
The authors estimated misclassification rates for two-category high-quality physician identification systems. They found that current methods for profiling physicians on quality may produce misleading results, and that misclassification is a policy-relevant measure of the potential impact of tiering on providers, payers, and patients. They concluded that quantifying misclassification rates should inform the construction of high-performance networks and quality improvement initiatives.
AHRQ-funded; HS021860.
Citation: Adams JL, Paddock SM .
Misclassification risk of tier-based physician quality performance systems.
Health Serv Res 2017 Aug;52(4):1277-96. doi: 10.1111/1475-6773.12561.
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Keywords: Provider Performance, Quality of Care, Payment
Smith SN, Reichert HA, Ameling JM
Dissecting Leapfrog: how well do Leapfrog safe practices scores correlate with Hospital Compare ratings and penalties, and how much do they matter?
Voluntary Leapfrog Safe Practices Score (SPS) measures were among the first public reports of hospital performance. Recently, Medicare's Hospital Compare website has reported compulsory measures. Leapfrog's Hospital Safety Score (HSS) grades incorporate SPS and Medicare measures. The researchers evaluated associations between Leapfrog SPS and Medicare measures. They found that voluntary Leapfrog SPS measures skew toward positive self-report and bear little association with compulsory Medicare outcomes and penalties.
AHRQ-funded; HS019767; HS024385; HS018334.
Citation: Smith SN, Reichert HA, Ameling JM .
Dissecting Leapfrog: how well do Leapfrog safe practices scores correlate with Hospital Compare ratings and penalties, and how much do they matter?
Med Care 2017 Jun;55(6):606-14. doi: 10.1097/mlr.0000000000000716.
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Keywords: Patient Safety, Central Line-Associated Bloodstream Infections (CLABSI), Healthcare-Associated Infections (HAIs), Hospitals, Provider Performance
DeLancey JO, Softcheck J, Chung JW
Associations between hospital characteristics, measure reporting, and the Centers for Medicare & Medicaid Services Overall Hospital Quality Star Ratings.
This study evaluated associations between hospital characteristics, number and types of measures reported, and the star ratings. Of 3,591 hospitals receiving a star rating,4 or 5 stars were awarded to 15.8 percent of major teaching hospitals, 18.8 percent of other teaching hospitals, 30.2 percent of community hospitals, 33.3 percent of critical access hospitals, and 87.3 percent of specialty hospitals.
AHRQ-funded; HS021857.
Citation: DeLancey JO, Softcheck J, Chung JW .
Associations between hospital characteristics, measure reporting, and the Centers for Medicare & Medicaid Services Overall Hospital Quality Star Ratings.
JAMA 2017 May 16;317(19):2015-17. doi: 10.1001/jama.2017.3148.
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Keywords: Hospitals, Quality of Care, Quality Measures, Provider Performance, Patient Safety
Fernandez R, Shah S, Rosenman ED
Developing team cognition: a role for simulation.
Evidence from team science research demonstrates a strong relationship between team cognition and team performance and suggests a role for simulation in the development of this team-level construct. In this article, the researchers synthesize research from the broader team science literature to provide foundational knowledge regarding team cognition and highlight best practices for using simulation to target team cognition.
AHRQ-funded; HS020295; HS022458.
Citation: Fernandez R, Shah S, Rosenman ED .
Developing team cognition: a role for simulation.
Simul Healthc 2017 Apr;12(2):96-103. doi: 10.1097/sih.0000000000000200.
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Keywords: Teams, Training, Provider Performance, Patient Safety
Mendelson A, Kondo K, Damberg C
The effects of pay-for-performance programs on health, health care use, and processes of care: a systematic review.
This review updated and expanded a prior review examining the effects of P4P programs targeted at the physician, group, managerial, or institutional level on process-of-care and patient outcomes in ambulatory and inpatient settings. It found that pay-for-performance programs may be associated with improved processes of care in ambulatory settings, but consistently positive associations with improved health outcomes have not been demonstrated in any setting.
AHRQ-funded; HS022981.
Citation: Mendelson A, Kondo K, Damberg C .
The effects of pay-for-performance programs on health, health care use, and processes of care: a systematic review.
Ann Intern Med 2017 Mar 7;166(5):341-53. doi: 10.7326/m16-1881.
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Keywords: Payment, Provider Performance, Healthcare Utilization, Quality of Care
Lewis VA, Fraze T, Fisher ES
ACOs serving high proportions of racial and ethnic minorities lag in quality performance.
Researchers analyzed racial and ethnic disparities in health care outcomes among accountable care organizations (ACOs). Their findings suggest that ACOs with a high share of minority patients may struggle with quality performance under ACO contracts, especially during their early years of participation-maintaining or potentially exacerbating current inequities.
AHRQ-funded; HS024075.
Citation: Lewis VA, Fraze T, Fisher ES .
ACOs serving high proportions of racial and ethnic minorities lag in quality performance.
Health Aff 2017 Jan;36(1):57-66. doi: 10.1377/hlthaff.2016.0626.
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Keywords: Disparities, Racial and Ethnic Minorities, Provider Performance, Quality Indicators (QIs), Quality of Care
Davis JD, Olsen MA, Bommarito K
All-payer analysis of heart failure hospitalization 30-day readmission: comorbidities matter.
In this study, the researchers investigated readmission characteristics and the magnitude of 30-day hospital readmissions after hospital discharge for heart failure using the Healthcare Cost and Utilization Project State Inpatient Databases (SID). They found in this large all-payer cohort, ∼70% of 30-day readmissions were for non-heart failure causes, and the median time to readmission was 12 days.
AHRQ-funded; HS019455.
Citation: Davis JD, Olsen MA, Bommarito K .
All-payer analysis of heart failure hospitalization 30-day readmission: comorbidities matter.
Am J Med 2017 Jan;130(1):93.e9-93.e28. doi: 10.1016/j.amjmed.2016.07.030..
Keywords: Cardiovascular Conditions, Heart Disease and Health, Healthcare Cost and Utilization Project (HCUP), Hospital Readmissions, Hospitalization, Hospitals, Provider Performance
Govindan S, Chopra V, Iwashyna TJ
Do clinicians understand quality metric data? An evaluation in a Twitter-derived sample.
The researchers assessed clinician comprehension of central line-associated blood stream infection (CLABSI) quality metric data. It found that the mean percentage of correct answers was 61 percent. Overall, doctor performance was better than performance by nurses and other respondents. In basic numeracy, mean percent correct was 82 percent. For risk-adjustment numeracy, the mean percent correct was 70 percent.
AHRQ-funded; HS022835.
Citation: Govindan S, Chopra V, Iwashyna TJ .
Do clinicians understand quality metric data? An evaluation in a Twitter-derived sample.
J Hosp Med 2017 Jan;12(1):18-22.
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Keywords: Central Line-Associated Bloodstream Infections (CLABSI), Data, Quality of Care, Provider Performance, Social Media
George EI, Ročková V, Rosenbaum PR
Mortality rate estimation and standardization for public reporting: Medicare’s Hospital Compare.
The authors calibrated Bayesian recommendation systems by checking, out of sample, whether predictions aggregate to give correct general advice derived from another sample. Their process leads to substantial revisions in the Hospital Compare model for acute myocardial infarction mortality. They found that indirect standardization, as currently used by Hospital Compare, fails to adequately control for differences in patient risk factors and systematically underestimates mortality rates at the low volume hospitals. They proposed direct standardization instead.
AHRQ-funded; HS021854.
Citation: George EI, Ročková V, Rosenbaum PR .
Mortality rate estimation and standardization for public reporting: Medicare’s Hospital Compare.
Journal of the American Statistical Association 2017;112(519):933-47. doi: 10.1080/01621459.2016.1276021.
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Keywords: Hospitals, Medicare, Mortality, Provider Performance
Calderwood MS, Kleinman K, Huang SS
Surgical site infections: volume-outcome relationship and year-to-year stability of performance rankings.
The researchers evaluated the volume-outcome relationship as well as the year-to-year stability of performance rankings following coronary artery bypass graft (CABG) surgery and hip arthroplasty. They concluded that aggregate surgical site infection risk is highest in hospitals with low annual procedure volumes. Even for higher volume hospitals, year-to-year random variation makes past experience an unreliable estimator of current performance.
AHRQ-funded; HS021424.
Citation: Calderwood MS, Kleinman K, Huang SS .
Surgical site infections: volume-outcome relationship and year-to-year stability of performance rankings.
Med Care 2017 Jan;55(1):79-85. doi: 10.1097/mlr.0000000000000620.
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Keywords: Surgery, Healthcare-Associated Infections (HAIs), Adverse Events, Injuries and Wounds, Hospitals, Provider Performance, Quality Indicators (QIs), Quality of Care, Patient Safety, Elderly
Frasier LL, Azari DP, Ma Y
A marker-less technique for measuring kinematics in the operating room.
The researchers investigated a novel, marker-less technique for evaluating technical skill during open operations and for differentiating tasks and surgeon experience level. They were able to detect kinematic differences in performance using marker-less tracking during open operative cases. Suturing task evaluation was most sensitive to differences in surgeon role and task category and may represent a scalable approach for providing quantitative feedback to surgeons about technical skill.
AHRQ-funded; HS022403.
Citation: Frasier LL, Azari DP, Ma Y .
A marker-less technique for measuring kinematics in the operating room.
Surgery 2016 Nov;160(5):1400-13. doi: 10.1016/j.surg.2016.05.004.
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Keywords: Surgery, Provider Performance, Patient Safety
Wang Y, Pandolfi MM, Fine J
Community level association between home health and nursing home performance on quality and hospital 30-day readmissions for Medicare patients.
Using CMS data from 2010 to 2012, the researchers evaluated whether community-level home health agencies and nursing home performance is associated with community-level hospital 30-day all-cause risk-standardized readmission rates for Medicare patients. They found that increasing nursing home performance by one star for all of its 4 measures and home health performance by 10 points for all of its 6 measures is associated with decreases in community-level risk-standardized readmission rates.
AHRQ-funded; HS023000.
Citation: Wang Y, Pandolfi MM, Fine J .
Community level association between home health and nursing home performance on quality and hospital 30-day readmissions for Medicare patients.
Home Health Care Manag Pract 2016 Nov;28(4):201-08. doi: 10.1177/1084822316639032.
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Keywords: Quality of Care, Hospital Readmissions, Home Healthcare, Nursing Homes, Provider Performance
Elmore JG, Cook AJ, Bogart A
Radiologists' interpretive skills in screening vs. diagnostic mammography: are they related?
This study aimed to determine whether radiologists who perform well in screening also perform well in interpreting diagnostic mammography. It evaluated the accuracy of 468 radiologists interpreting 2,234,947 screening and 196,164 diagnostic mammograms and found a moderate correlation for radiologists' accuracy when interpreting screening versus their accuracy on diagnostic examinations.
AHRQ-funded; HS010591.
Citation: Elmore JG, Cook AJ, Bogart A .
Radiologists' interpretive skills in screening vs. diagnostic mammography: are they related?
Clin Imaging 2016 Nov - Dec;40(6):1096-103. doi: 10.1016/j.clinimag.2016.06.014.
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Keywords: Cancer: Breast Cancer, Diagnostic Safety and Quality, Screening, Imaging, Women, Provider Performance