National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Cardiovascular Conditions (1)
- Care Coordination (2)
- Children's Health Insurance Program (CHIP) (2)
- (-) Children/Adolescents (10)
- Chronic Conditions (2)
- Consumer Assessment of Healthcare Providers and Systems (CAHPS) (1)
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- (-) Quality Indicators (QIs) (10)
- Quality Measures (7)
- Quality of Care (8)
- Respiratory Conditions (1)
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- Surgery (1)
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 10 of 10 Research Studies DisplayedNakamura 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
Kaiser SV, Lam R, Joseph GB
Limitations of using pediatric respiratory illness readmissions to compare hospital performance.
Researcher sought to determine if a National Quality Forum (NQF)-endorsed measure for pediatric lower respiratory illness (LRI) 30-day readmission rates can meaningfully identify high- and low-performing hospitals. Subjects were children with LRI (bronchiolitis, influenza, or pneumonia as primary diagnosis, or with an LRI as a secondary diagnosis with a primary diagnosis of respiratory failure, sepsis, bacteremia, or asthma) from all hospital admissions in California from 2012 to 2014. The researchers were unable to identify meaningful variation in hospital performance without broadening the metric definition and merging multiple years of data. They recommend that utilizers of pediatric-quality measures consider modifying metrics to better evaluate the quality of pediatric care at low-volume hospitals.
AHRQ-funded; HS024385; HS022835; HS024592; HS025297.
Citation: Kaiser SV, Lam R, Joseph GB .
Limitations of using pediatric respiratory illness readmissions to compare hospital performance.
J Hosp Med 2018 Nov;13(11):737-42. doi: 10.12788/jhm.2988..
Keywords: Children/Adolescents, Respiratory Conditions, Provider Performance, Hospital Readmissions, Hospitals, Quality Indicators (QIs), Quality Measures, Quality of Care, Quality Improvement
Arthur KC, Mangione-Smith R, Burkhart Q
Quality of care for children with medical complexity: an analysis of continuity of care as a potential quality indicator.
The objective of this study was to examine the relationship between continuity of care for children with medical complexity (CMC) and emergency department (ED) utilization, care coordination quality, and family effects related to care coordination. The investigators measured ED utilization and primary care continuity with the Bice-Boxerman continuity of care index for 1477 CMC using administrative data from Minnesota and Washington state Medicaid agencies. They concluded that continuity of care holds promise as a quality measure for CMC because of its association with lower ED utilization and more frequent receipt of care coordination.
AHRQ-funded; HS020506.
Citation: Arthur KC, Mangione-Smith R, Burkhart Q .
Quality of care for children with medical complexity: an analysis of continuity of care as a potential quality indicator.
Acad Pediatr 2018 Aug;18(6):669-76. doi: 10.1016/j.acap.2018.04.009..
Keywords: Care Coordination, Children/Adolescents, Chronic Conditions, Emergency Department, Healthcare Utilization, Primary Care, Quality of Care, Quality Indicators (QIs), Quality Measures
Parast L, Burkhart Q, Gidengil C
Validation of new care coordination quality measures for children with medical complexity.
The purpose of this paper was to validate new caregiver-reported quality measures assessing care coordination services for children with medical complexity (CMC). Results showed that 19 newly-developed Family Experiences with Coordination of Care quality measures demonstrated convergent validity with previously-validated CAHPS measures. These new measures are valid for assessing the quality of care coordination services provided to CMC and may be useful for evaluating new models of care focused on improving these services.
AHRQ-funded; HS020506.
Citation: Parast L, Burkhart Q, Gidengil C .
Validation of new care coordination quality measures for children with medical complexity.
Acad Pediatr 2018 Jul;18(5):581-88. doi: 10.1016/j.acap.2018.03.006..
Keywords: Care Coordination, Children/Adolescents, Chronic Conditions, Consumer Assessment of Healthcare Providers and Systems (CAHPS), Patient Experience, Quality Indicators (QIs), Quality Measures, Quality Improvement, Quality of Care
Shah AY, LLanos K, Dougherty D
AHRQ Author: Dougherty D
State challenges to child health quality measure reporting and recommendations for improvement.
The authors sought to assess reporting barriers of the Children's Health Insurance Program (CHIP) and to identify potential opportunities for improvement. They found that low reporting states believed they had inadequate staffing and that data collection and extraction was too time-consuming. They concluded that possible solutions to improve reporting would include funding and staff support, refining the technical assistance provided, and creating venues for state-to-state interaction.
AHRQ-authored.
Citation: Shah AY, LLanos K, Dougherty D .
State challenges to child health quality measure reporting and recommendations for improvement.
Healthc 2016 Sep;4(3):217-24. doi: 10.1016/j.hjdsi.2016.03.001.
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Keywords: Children/Adolescents, Children's Health Insurance Program (CHIP), Quality of Care, Medicaid, Quality Indicators (QIs)
Jenkins KJ, Koch Kupiec J, Owens PL
AHRQ Author: Owens PL
Development and validation of an Agency for Healthcare Research and Quality indicator for mortality after congenital heart surgery harmonized with risk adjustment for congenital heart surgery (RACHS-1) methodology.
The National Quality Forum previously approved a quality indicator for mortality after congenital heart surgery developed by AHRQ. Several parameters of the validated Risk Adjustment for Congenital Heart Surgery (RACHS-1) method were included, but others differed. As part of the National Quality Forum endorsement maintenance process, developers were asked to harmonize the 2 methodologies.
AHRQ-authored.
Citation: Jenkins KJ, Koch Kupiec J, Owens PL .
Development and validation of an Agency for Healthcare Research and Quality indicator for mortality after congenital heart surgery harmonized with risk adjustment for congenital heart surgery (RACHS-1) methodology.
J Am Heart Assoc 2016 May;5(5):pii: e003028. doi: 10.1161/jaha.115.003028.
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Keywords: Surgery, Mortality, Quality Indicators (QIs), Children/Adolescents, Cardiovascular Conditions
Chien AT, Schiavoni KH, Sprecher E
How accountable care organizations responded to pediatric incentives in the alternative quality contract.
The authors characterized the pediatric infrastructure of adult-oriented accountable care organizations (ACOs) and obtained leaders' perspectives on their ACOs' response to pediatric incentives. They found that most ACOs augmented their pediatric quality improvement and spending reduction efforts when faced with pediatric incentives.
AHRQ-funded; HS017146.
Citation: Chien AT, Schiavoni KH, Sprecher E .
How accountable care organizations responded to pediatric incentives in the alternative quality contract.
Acad Pediatr 2016 Mar;16(2):200-7. doi: 10.1016/j.acap.2015.10.008.
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Keywords: Children/Adolescents, Health Insurance, Quality of Care, Payment, Quality Indicators (QIs)
Nakamura MM, Toomey SL, Zaslavsky AM
Measuring pediatric hospital readmission rates to drive quality improvement.
The investigators sought to describe the importance of readmissions in children and the challenges of developing readmission quality measures. They found that the policy focus on readmissions has motivated widespread efforts by hospitals and outpatient providers to evaluate and reengineer care processes.
AHRQ-funded; HS020513; HS020508.
Citation: Nakamura MM, Toomey SL, Zaslavsky AM .
Measuring pediatric hospital readmission rates to drive quality improvement.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S39-46. doi: 10.1016/j.acap.2014.06.012.
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Keywords: Children/Adolescents, Quality Improvement, Quality Indicators (QIs), Quality Measures, Hospital Readmissions
Bevans KB, Moon J, Carle AC
Patient reported outcomes as indicators of pediatric health care quality.
The authors described and illustrated in case examples the functions, benefits, and challenges of patient-reported outcomes applications. They concluded that pediatric patient-reported outcomes are increasingly recognized as valuable indicators of health care quality in the clinical environment and as measures of organization- and provider-level performance.
AHRQ-funded; HS020408.
Citation: Bevans KB, Moon J, Carle AC .
Patient reported outcomes as indicators of pediatric health care quality.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S90-6. doi: 10.1016/j.acap.2014.06.002..
Keywords: Children/Adolescents, Quality of Care, Children/Adolescents, Quality Indicators (QIs), Quality Measures, Provider Performance
Gidengil C, Mangione-Smith R, Bailey LC
Using Medicaid and CHIP claims data to support pediatric quality measurement: lessons from 3 centers of excellence in measure development.
The investigators sought to explore the claims data-related issues relevant to quality measure development for Medicaid and the Children's Health Insurance Program (CHIP), illustrating the challenges encountered and solutions developed around 3 distinct performance measure topics: care coordination for children with complex needs, quality of care for high-prevalence conditions, and hospital readmissions. Their three Centers of Excellence in pediatric quality measurement used innovative methods to develop algorithms that use Medicaid claims data to identify children with complex needs; to overcome some shortcomings of existing data for measuring quality of care for common conditions such as otitis media; and to identify readmissions after hospitalizations for lower respiratory infections.
AHRQ-funded; HS020513; HS020506; HS020508.
Citation: Gidengil C, Mangione-Smith R, Bailey LC .
Using Medicaid and CHIP claims data to support pediatric quality measurement: lessons from 3 centers of excellence in measure development.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S76-81. doi: 10.1016/j.acap.2014.06.014.
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Keywords: Children/Adolescents, Children's Health Insurance Program (CHIP), Medicaid, Quality Indicators (QIs), Quality Measures, Quality of Care