National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Asthma (1)
- Behavioral Health (5)
- Cardiovascular Conditions (1)
- Care Coordination (2)
- Caregiving (2)
- Case Study (1)
- Children's Health Insurance Program (CHIP) (12)
- (-) Children/Adolescents (46)
- Chronic Conditions (4)
- Clinician-Patient Communication (1)
- Consumer Assessment of Healthcare Providers and Systems (CAHPS) (5)
- Dental and Oral Health (2)
- Depression (1)
- Education: Patient and Caregiver (1)
- Electronic Health Records (EHRs) (2)
- Emergency Department (6)
- Healthcare Utilization (1)
- Health Information Technology (HIT) (1)
- Health Insurance (2)
- Health Services Research (HSR) (4)
- Hospital Discharge (1)
- Hospitalization (2)
- Hospital Readmissions (4)
- Hospitals (10)
- Human Immunodeficiency Virus (HIV) (1)
- Implementation (4)
- Infectious Diseases (1)
- Inpatient Care (3)
- Medicaid (8)
- Medication (4)
- Nursing (1)
- Obesity (1)
- Obesity: Weight Management (1)
- Outcomes (1)
- Patient-Centered Outcomes Research (2)
- Patient and Family Engagement (1)
- Patient Experience (4)
- Patient Safety (1)
- Policy (1)
- Prevention (1)
- Primary Care (2)
- Provider Performance (3)
- Quality Improvement (15)
- Quality Indicators (QIs) (14)
- (-) Quality Measures (46)
- Quality of Care (39)
- Respiratory Conditions (2)
- Risk (2)
- Sexual Health (1)
- Social Determinants of Health (1)
- Transitions of Care (2)
- Vulnerable Populations (2)
- Women (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
26 to 46 of 46 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
Desai AD, Jacob-Files EA, Lowry SJ
Development of a caregiver-reported experience measure for pediatric hospital-to-home transitions.
The objective for this study was to develop and test a caregiver-reported experience measure for pediatric hospital-to-home transitions. An eight-item caregiver-reported experience measure to evaluate hospital-to-home transition outcomes in pediatric populations demonstrated acceptable content validity and psychometric properties.
AHRQ-funded; HS024299.
Citation: Desai AD, Jacob-Files EA, Lowry SJ .
Development of a caregiver-reported experience measure for pediatric hospital-to-home transitions.
Health Serv Res 2018 Aug;53 Suppl 1:3084-106. doi: 10.1111/1475-6773.12864..
Keywords: Caregiving, Children/Adolescents, Patient-Centered Outcomes Research, Quality Measures, Transitions of Care
Simon TD, Haaland W, Hawley K
Development and validation of the Pediatric Medical Complexity Algorithm (PMCA) Version 3.0.
This study’s objective was to modify the Pediatric Medical Complexity Algorithm (PMCA) to include both ICD-9-CM and ICD-10-CM code revisions as well to assess the sensitivity and specificity of the new PMCA version 3.0. The new version 3.0 was applied to data for children from the Seattle Children’s Hospital emergency department, day surgery, and/or inpatient encounter from January 2016 to June 2017. A blinded random sample of 300 children was used from 3 different classifications: those with chronic complex disease, children with noncomplex chronic disease, and no chronic disease. Sensitivity and specificity was rated as over 65% up to 93% for all classification types.
AHRQ-funded; HS020506.
Citation: Simon TD, Haaland W, Hawley K .
Development and validation of the Pediatric Medical Complexity Algorithm (PMCA) Version 3.0.
Acad Pediatr 2018 Jul;18(5):577-80. doi: 10.1016/j.acap.2018.02.010..
Keywords: Children/Adolescents, Quality Measures, Quality Improvement, Chronic Conditions, Quality of Care
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
Parast L, Bardach NS, Burkhart Q
Development of new quality measures for hospital-based care of suicidal youth.
This study researched the value of 4 new quality measures developed to assess hospital-based care for suicidal youth. The four quality measures focused on counseling caregivers about restricting access to lethal means of self-harm, and the benefits and risks of antidepressant medications. They were divided into measures for the emergency department (ED) and inpatient measures. Survey field tests were conducted with caregivers of youth who were admitted to the ED or inpatient care for suicidality at 1 of 2 children’s hospitals between July 2013 and June 2014. Most caregivers did receive counseling about restricting their child’s access to lethal means of self-harm and also reported higher rates of counseling of benefits on antidepressants both in the ED and in the inpatient setting than the risks.
AHRQ-funded; HS020506.
Citation: Parast L, Bardach NS, Burkhart Q .
Development of new quality measures for hospital-based care of suicidal youth.
Acad Pediatr 2018 Apr;18(3):248-55. doi: 10.1016/j.acap.2017.09.017..
Keywords: Caregiving, Children/Adolescents, Consumer Assessment of Healthcare Providers and Systems (CAHPS), Education: Patient and Caregiver, Emergency Department, Hospitalization, Hospitals, Inpatient Care, Behavioral Health, Prevention, Quality of Care, Quality Measures
Leckman-Westin E, Finnerty M, Scholle SH
Differences in Medicaid antipsychotic medication measures among children with SSI, foster care, and income-based aid.
This study examined the application of 6 quality measures for antipsychotic medication prescribing in children and adolescents receiving Medicaid. While indicators of overuse were more common in those with Supplemental Security Income and foster care groups, access to follow-up, metabolic monitoring, and psychosocial services was somewhat better for these children. However, substantial quality shortfalls existed for all groups, particularly metabolic screening and monitoring.
AHRQ-funded; HS020503; HS019937; HS021112.
Citation: Leckman-Westin E, Finnerty M, Scholle SH .
Differences in Medicaid antipsychotic medication measures among children with SSI, foster care, and income-based aid.
J Manag Care Spec Pharm 2018 Mar;24(3):238-46. doi: 10.18553/jmcp.2018.24.3.238.
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Keywords: Children/Adolescents, Medicaid, Medication, Quality Measures, Vulnerable Populations
Deans KJ, Minneci PC, Nacion KM
Health care quality measures for children and adolescents in foster care: feasibility testing in electronic records.
The objective of the study is to identify healthcare quality measures for young children and adolescents in foster care and to test whether the data required to calculate these measures can be feasibly extracted and interpreted within an electronic health records or within the Statewide Automated Child Welfare Information System. It found that electronic health records and the Statewide System data frequently lacked important information on foster care youth essential for calculating the measures.
AHRQ-funded; HS020503.
Citation: Deans KJ, Minneci PC, Nacion KM .
Health care quality measures for children and adolescents in foster care: feasibility testing in electronic records.
BMC Pediatr 2018 Feb 22;18(1):79. doi: 10.1186/s12887-018-1064-4.
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Keywords: Children/Adolescents, Electronic Health Records (EHRs), Quality Measures, Vulnerable Populations
Christensen AL, Petersen DM, Burton RA
What factors influence states' capacity to report children's health care quality measures? A multiple-case study.
The objective of this study was to describe factors that influence the ability of state Medicaid agencies to report the Centers for Medicare & Medicaid Services' (CMS) core set of children's health care quality measures . Reporting capacity was influenced by a state's Medicaid data availability, ability to link to other state data systems, past experience with quality measurement, staff time and technical expertise, and demand for the measures.
AHRQ-funded; 290200900019I; 29032004T.
Citation: Christensen AL, Petersen DM, Burton RA .
What factors influence states' capacity to report children's health care quality measures? A multiple-case study.
Matern Child Health J 2017 Jan;21(1):187-98. doi: 10.1007/s10995-016-2108-8.
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Keywords: Quality Measures, Quality of Care, Children's Health Insurance Program (CHIP), Children/Adolescents, Medicaid, Health Insurance, Policy, Case Study
Connor JA, Larson C, Baird J
Use of a pediatric cardiovascular nursing consortium for development and evaluation of quality measures: The C4-MNP experience.
The authors aimed to identify and develop standardized measures representative of pediatric nursing care of the cardiovascular patient for benchmarking within freestanding children's hospitals. The Consortium of Congenital Cardiac Care-Measurement of Nursing Practice members developed quality measures within working groups and then individually critiqued all drafted measures. The process resulted in 10 measures eligible for testing. The Consortium will continue with implementation and testing of each measure, supporting the development of benchmarks and the evaluation of the association of the measures with patient outcomes.
AHRQ-funded; HS000063.
Citation: Connor JA, Larson C, Baird J .
Use of a pediatric cardiovascular nursing consortium for development and evaluation of quality measures: The C4-MNP experience.
J Pediatr Nurs 2016 Sep-Oct;31(5):471-7. doi: 10.1016/j.pedn.2016.04.010.
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Keywords: Children/Adolescents, Cardiovascular Conditions, Nursing, Quality Measures, Hospitals
Mistry KB, Chesley F, Llanos K
AHRQ Author: Mistry KB, Chesley F, Dougherty D.
Advancing children's health care and outcomes through the pediatric quality measures program.
This article focuses on the Pediatric Quality Measures Program and provides an overview of the program's goals and related activities, lessons learned, and future opportunities.
AHRQ-authored.
Citation: Mistry KB, Chesley F, Llanos K .
Advancing children's health care and outcomes through the pediatric quality measures program.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S19-26. doi: 10.1016/j.acap.2014.06.025.
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Keywords: Children's Health Insurance Program (CHIP), Quality of Care, Health Services Research (HSR), Children/Adolescents, Quality Measures
Kuhlthau KA, Mistry KB, Forrest CB
AHRQ Author: Mistry KB, Dougherty D
Advancing the science of measurement in pediatric quality of care.
This overview describes the articles in this supplement as falling into 3 broad themes: the value of pediatric quality measures to stakeholders; the scope of the CHIPRA Pediatric Quality Measures Program measurement initiative; and challenges in developing and testing pediatric quality measures. It concludes that the articles illustrate the considerations necessary for creating good measure sets and provide strategies for overcoming challenges encountered in the measurement development process.
AHRQ-authored; AHRQ-funded; HS020408.
Citation: Kuhlthau KA, Mistry KB, Forrest CB .
Advancing the science of measurement in pediatric quality of care.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S1-3. doi: 10.1016/j.acap.2014.06.016..
Keywords: Children/Adolescents, Children's Health Insurance Program (CHIP), Children/Adolescents, Quality Measures, Quality Measures
Dougherty D, Mistry KB, Llanos K
AHRQ Author: Dougherty D, Mistry KB, Chesley F
An AHRQ and CMS perspective on the pediatric quality measures program.
This article describes the Pediatric Quality Measures Program (PQMP). The PQMP has worked to close gaps in children’s health care quality by increasing the portfolio of new measures and methods as envisioned by the CHIPRA legislation. It is the adoption and use of these measures that can lead to improvements in the quality of care and elimination of disparities in health care for children over time.
AHRQ-authored.
Citation: Dougherty D, Mistry KB, Llanos K .
An AHRQ and CMS perspective on the pediatric quality measures program.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S17-8. doi: 10.1016/j.acap.2014.06.017.
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Keywords: Children's Health Insurance Program (CHIP), Quality of Care, Health Services Research (HSR), Children/Adolescents, Quality Measures
Forrest CB, Silber JH
Concept and measurement of pediatric value.
The authors investigate providing information on pediatric value, which will require new investments in data collection systems that include outcomes that matter to children and families and costs measured at the level of the child. They discuss analysis of these data to account for the perspective of the user of the information. They recommend that, in the case of families, direct standardization be used to contrast care in one health care system with another according to the unique characteristics of each family and child.
AHRQ-funded; HS020408.
Citation: Forrest CB, Silber JH .
Concept and measurement of pediatric value.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S33-8. doi: 10.1016/j.acap.2014.03.013.
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Keywords: Children/Adolescents, Health Services Research (HSR), Quality Measures, Quality Measures, Children/Adolescents
Byron SC, Gardner W, Kleinman LC
Developing measures for pediatric quality: methods and experiences of the CHIPRA pediatric quality measures program grantees.
The authors described the processes used by the Pediatric Quality Measures Program (PQMP) grantees to develop measures to assess the health care of children and adolescents in Medicaid and the Children's Health Insurance Program. They found that PQMP grantees faced common challenges, including the limited evidence base, data systems difficult or unsuited for measures reporting, and conflicting stakeholder priorities. Grantees were able to explore innovative methods to overcome measurement challenges, resulting in new quality measures for pediatric care.
AHRQ-funded; HS020513; HS020498; HS020516; HS020506; HS020518; HS020508; HS020503.
Citation: Byron SC, Gardner W, Kleinman LC .
Developing measures for pediatric quality: methods and experiences of the CHIPRA pediatric quality measures program grantees.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S27-32. doi: 10.1016/j.acap.2014.06.013.
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Keywords: Children/Adolescents, Children's Health Insurance Program (CHIP), Quality of Care, Children/Adolescents, Quality Measures
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
Dougherty D, Mistry KB, Lindly O
AHRQ Author: Dougherty D, Mistry KB, Desoto M, Chesley F
Systematic evidence-based quality measurement life-cycle approach to measure retirement in CHIPRA.
The authors assessed selected child core set (CCS) measures for potential retirement. The Subcommittee of the National Advisory Council on Healthcare Research and Quality recommended 3 measures for retirement: access to primary care; testing for strep before recommending antibiotics for pharyngitis; and annual HbA1c testing of children with diabetes. CMS recommended that state Medicaid and CHIP programs retire 2 of the recommended measures from the CCS, but retained the access to primary care measure.
AHRQ-authored.
Citation: Dougherty D, Mistry KB, Lindly O .
Systematic evidence-based quality measurement life-cycle approach to measure retirement in CHIPRA.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S97-s103. doi: 10.1016/j.acap.2014.06.015.
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Keywords: Children's Health Insurance Program (CHIP), Quality of Care, Health Services Research (HSR), Children/Adolescents, Quality Measures
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
Lomotan EA, Dougherty D
AHRQ Author: Lomotan EA, Dougherty D
Pediatric health care quality measures: considerations for pharmacotherapy.
The authors used the Pediatric Quality Measures Program that arose from the Children's Health Insurance Program Reauthorization Act in the United States to illustrate the challenges in developing quality measures of pediatric pharmacotherapy. They identified the challenges aw being twofold: (i) weak evidence base for the specific pharmacotherapy in children and (ii) limited data to calculate the measure. They concluded that health information technology is emerging as a tool to improve quality measurement but presents additional challenges.
AHRQ-authored.
Citation: Lomotan EA, Dougherty D .
Pediatric health care quality measures: considerations for pharmacotherapy.
Paediatr Drugs 2013 Dec;15(6):441-7. doi: 10.1007/s40272-013-0042-4.
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Keywords: Children's Health Insurance Program (CHIP), Quality of Care, Medication, Children/Adolescents, Quality Measures