National Healthcare Quality and Disparities Report
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- Adverse Events (1)
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- Evidence-Based Practice (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 7 of 7 Research Studies DisplayedLiao JM, Wang E, Isidro U
The association between bundled payment participation and changes in medical episode outcomes among high-risk patients.
This research evaluated whether the association between participation in bundled payments for medical conditions and episode outcomes differed for clinically high-risk versus other patients in regard to length of stay (LOS) at skilled nursing facilities (SNFs). Participants included 471,421 Medicare patients hospitalized at bundled payment and propensity-matched non-participating hospitals. Primary outcomes were SNF LOS and 90-day unplanned readmissions. SNF length of stay was differentially lower among frail patients, patients with advanced age (>85 years), and those with prior institutional post-acute care provider utilization compared to non-frail, younger, and patients without prior utilization, respectively. Bundled payment participation was also associated with differentially greater SNF LOS among disabled patients. It was not associated with differential changes in readmissions in any high-risk group but was associated with changes in quality, utilization, and spending measures for some groups.
AHRQ-funded; HS027595.
Citation: Liao JM, Wang E, Isidro U .
The association between bundled payment participation and changes in medical episode outcomes among high-risk patients.
Healthcare 2022 Dec 12; 10(12). doi: 10.3390/healthcare10122510..
Keywords: Payment, Quality Improvement, Quality of Care, Risk, Policy
Bucholz EM, Toomey SL, McCulloch CE EM, Toomey SL, McCulloch CE
Adjusting for social risk factors in pediatric quality measures: adding to the evidence base.
The purpose of this study was to evaluate a method for incorporating social risk variables into a pediatric measure of utilization from the Pediatric Quality Measures Program (PQMP). The researchers utilized data from California Medicaid claims (2015-16) and Massachusetts All Payer Claims Database (2014-2015) to assess health plan performance using the Pediatric Asthma Emergency Department Use measure. The study found that of 133 health plans serving 404,649 pediatric patients with asthma, 7% to 13% changed performance categories after social risk adjustment. Health plans that shifted to higher performance categories cared for lower socioeconomic status (SES) patients, while those that shifted to lower performance categories cared for higher SES patients. The study concluded that adjustment for social risk factors shifted performance rankings on the PQMP Pediatric Asthma Emergency Department Use measure for a large number of health plans.
AHRQ-funded; HS025297; HS025299.
Citation: Bucholz EM, Toomey SL, McCulloch CE EM, Toomey SL, McCulloch CE .
Adjusting for social risk factors in pediatric quality measures: adding to the evidence base.
Acad Pediatr 2022 Apr;22(3s):S108-s14. doi: 10.1016/j.acap.2021.09.023..
Keywords: Children/Adolescents, Quality Measures, Quality of Care, Risk, Social Determinants of Health
Sheetz KH, Dimick JB, Nathan H
Centralization of high-risk cancer surgery within existing hospital systems.
Centralization is often proposed as a strategy to improve the quality of certain high-risk health care services. In this study, the investigators evaluated the extent to which existing hospital systems centralize high-risk cancer surgery and whether centralization is associated with short-term clinical outcomes. The investigators concluded that greater centralization of complex cancer surgery within existing hospital systems was associated with better outcomes.
AHRQ-funded; HS023597.
Citation: Sheetz KH, Dimick JB, Nathan H .
Centralization of high-risk cancer surgery within existing hospital systems.
J Clin Oncol 2019 Dec 1;37(34):3234-42. doi: 10.1200/jco.18.02035..
Keywords: Surgery, Cancer, Risk, Hospitals, Health Systems, Quality Improvement, Quality Indicators (QIs), Quality of Care, Outcomes
Jones KJ, Skinner A, Venema D
Evaluating the use of multiteam systems to manage the complexity of inpatient falls in rural hospitals.
Researchers evaluated the implementation and outcomes of evidence-based fall-risk-reduction processes when those processes are implemented using a multiteam system (MTS) structure. They found that multiteam systems that effectively coordinate fall-risk-reduction processes may improve the capacity of hospitals to manage the complex patient, environmental, and system factors that result in falls.
AHRQ-funded; HS024630; HS021429.
Citation: Jones KJ, Skinner A, Venema D .
Evaluating the use of multiteam systems to manage the complexity of inpatient falls in rural hospitals.
Health Serv Res 2019 Oct;54(5):994-1006. doi: 10.1111/1475-6773.13186..
Keywords: Falls, Hospitals, Inpatient Care, Quality of Care, Quality Improvement, Patient Safety, Prevention, Risk
Parchman ML, Anderson ML, Dorr DA
A randomized trial of external practice support to improve cardiovascular risk factors in primary care.
Researchers conducted a randomized controlled trial to compare the effectiveness of adding various forms of enhanced external support to practice facilitation on primary care practices' clinical quality measure (CQM) performance. They concluded that, although they found no significant differences in CQM performance across study arms, the ability of a practice to reach a target level of performance may be enhanced by adding both educational outreach visits and shared learning to practice facilitation.
AHRQ-funded; HS023908.
Citation: Parchman ML, Anderson ML, Dorr DA .
A randomized trial of external practice support to improve cardiovascular risk factors in primary care.
Ann Fam Med 2019 Aug 12;17(Suppl 1):S40-s49. doi: 10.1370/afm.2407..
Keywords: Cardiovascular Conditions, Primary Care, Quality Improvement, Provider Performance, Quality Measures, Quality of Care, Risk, Evidence-Based Practice, Patient-Centered Healthcare, Chronic Conditions
Nakamura MM, Toomey SL, Zaslavsky AM
Potential impact of initial clinical data on adjustment of pediatric readmission rates.
This study investigated whether the addition of adding initial clinical data to adjust for case-mix (differences in patient populations) improved prediction of pediatric readmissions. Thirty-day readmissions were examined using claims and electronic records for patients aged 18 and younger who were admitted to 3 children’s hospitals from February 2011 to February 2014. The Pediatric All-Condition Readmission Measure was used and started with a model including age, gender, chronic conditions, and primary diagnosis. Initial vital sign and laboratory data was added to see if it improved model performance. Greater readmission risk was found if there was a low red blood cell count and mean corpuscular hemoglobin concentration and high red cell distribution risk. However, it did not provide more than minimal improvement in performance.
AHRQ-funded; HS020513; HS025299.
Citation: Nakamura MM, Toomey SL, Zaslavsky AM .
Potential impact of initial clinical data on adjustment of pediatric readmission rates.
Acad Pediatr 2019 Jul;19(5):589-98. doi: 10.1016/j.acap.2018.09.006..
Keywords: Children/Adolescents, Hospital Readmissions, Risk, Quality Indicators (QIs), Quality Measures, Quality of Care
Arkin N, Lee PH, McDonald K
Association of Nurse-to-Patient Ratio with mortality and preventable complications following aortic valve replacement.
The purpose of this study was to examine hospital resources associated with patient outcomes for aortic valve replacement (AVR), including inpatient adverse events and mortality. The investigators found that the hospital volume-outcomes relationship was associated with mortality outcomes but not postoperative complications. They identified structural differences in hospital size, nurses-to-patient ratio, and nursing skill level indicative of high quality outcomes.
AHRQ-funded; HS018558.
Citation: Arkin N, Lee PH, McDonald K .
Association of Nurse-to-Patient Ratio with mortality and preventable complications following aortic valve replacement.
J Card Surg 2014 Mar;29(2):141-8. doi: 10.1111/jocs.12284..
Keywords: Adverse Events, Cardiovascular Conditions, Quality of Care, Mortality, Risk