National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
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AHRQ Research Studies Date
Topics
- Access to Care (6)
- Asthma (1)
- Case Study (1)
- (-) Children's Health Insurance Program (CHIP) (40)
- Children/Adolescents (34)
- Dental and Oral Health (1)
- Disparities (1)
- Electronic Health Records (EHRs) (4)
- Evidence-Based Practice (1)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Healthcare Costs (2)
- Healthcare Utilization (2)
- Health Information Technology (HIT) (1)
- Health Insurance (15)
- Health Services Research (HSR) (3)
- Hospital Discharge (1)
- Implementation (3)
- Low-Income (4)
- Medicaid (18)
- Medical Expenditure Panel Survey (MEPS) (3)
- Medicare (2)
- Medication (2)
- Opioids (1)
- Patient-Centered Healthcare (2)
- Patient-Centered Outcomes Research (1)
- Payment (1)
- Policy (5)
- Primary Care (1)
- Provider: Health Personnel (1)
- Quality Improvement (7)
- Quality Indicators (QIs) (3)
- Quality Measures (14)
- Quality of Care (16)
- Racial and Ethnic Minorities (2)
- Respiratory Conditions (1)
- Transitions of Care (1)
- Uninsured (3)
- Vulnerable Populations (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 40 of 40 Research Studies DisplayedDeVoe JE, Tillotson CJ, Angier H
Predictors of children's health insurance coverage discontinuity in 1998 versus 2009: parental coverage continuity plays a major role.
This study examines the strength of association between known and potential predictors of children’s health insurance continuity in both 1998 and 2009. It found that, compared to children with at least one parent continuously covered, children whose parents did not have continuous coverage had a significantly higher relative risk of a coverage gap.
AHRQ-funded; HS018569.
Citation: DeVoe JE, Tillotson CJ, Angier H .
Predictors of children's health insurance coverage discontinuity in 1998 versus 2009: parental coverage continuity plays a major role.
Matern Child Health J 2015 Apr;19(4):889-96. doi: 10.1007/s10995-014-1590-0.
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Keywords: Medical Expenditure Panel Survey (MEPS), Children's Health Insurance Program (CHIP), Uninsured, Health Insurance
DeVoe JE, Marino M, Angier H
Effect of expanding Medicaid for parents on children's health insurance coverage: lessons from the Oregon Experiment.
This study estimated the effect on a child’s health insurance coverage status when (1) a parent randomly gains access to health insurance and (2) a parent obtains coverage. It found that children’s odds of having Medicaid or CHIP coverage increased when their parents were randomly selected to apply for Medicaid. Children whose parents were selected and subsequently obtained coverage benefited most.
AHRQ-funded; HS018569
Citation: DeVoe JE, Marino M, Angier H .
Effect of expanding Medicaid for parents on children's health insurance coverage: lessons from the Oregon Experiment.
JAMA Surg. 2015 Mar;150(3):223-8. doi: 10.1001/jamasurg.2014.2239..
Keywords: Medicaid, Health Insurance, Children's Health Insurance Program (CHIP), Children/Adolescents
Miller D, Noonan K, Fiks AG
Increasing pediatrician participation in EHR incentive programs.
The authors addressed potential causes of the variability of pediatrician registration in the meaningful use (MU) program and suggested specific solutions to support effective pediatric electronic health record implementation across all states. They concluded that implementing their proposed solutions would support pediatricians’ use of electronic health records, with an ultimate goal of improving child health.
AHRQ-funded; HS022689.
Citation: Miller D, Noonan K, Fiks AG .
Increasing pediatrician participation in EHR incentive programs.
Pediatrics 2015 Jan;135(1):e1-4. doi: 10.1542/peds.2014-2438.
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Keywords: Children's Health Insurance Program (CHIP), Electronic Health Records (EHRs), Provider: Health Personnel, Medicaid, Children/Adolescents
Bailey LC, Mistry KB, Tinoco A
AHRQ Author: Mistry KB
Addressing electronic clinical information in the construction of quality measures.
The authors draw on the experience of Centers of Excellence to review both structural and pragmatic considerations in e-measurement. They suggest that addressing these challenges will require investment by vendors, researchers, and clinicians alike in developing better pediatric content for standard terminologies and data models, encouraging wider adoption of technical standards that support reliable quality measurement, better harmonizing data collection with clinical work flow in EHRs, and better understanding the behavior and potential of e-measures.
AHRQ-authored.
Citation: Bailey LC, Mistry KB, Tinoco A .
Addressing electronic clinical information in the construction of quality measures.
Acad Pediatr 2014 Sep-Oct;14(5 Suppl):S82-9. doi: 10.1016/j.acap.2014.06.006.
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Keywords: Children's Health Insurance Program (CHIP), Electronic Health Records (EHRs), Quality Improvement, Quality Indicators (QIs), Quality Measures
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
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
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
Abdus S, Hudson J, Hill SC
AHRQ Author: Abdus S, Hudson J, Hill SC, Selden TM
Children's health insurance program premiums adversely affect enrollment, especially among lower-income children.
Using MEPS data, the authors showed that the relationship between premiums and coverage varies considerably by income level and by parental access to employer-sponsored insurance. They found that the increase in uninsurance is largest among children whose parents lack offers of employer coverage.
AHRQ-authored.
Citation: Abdus S, Hudson J, Hill SC .
Children's health insurance program premiums adversely affect enrollment, especially among lower-income children.
Health Aff 2014 Aug;33(8):1353-60. doi: 10.1377/hlthaff.2014.0182.
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Keywords: Children/Adolescents, Children's Health Insurance Program (CHIP), Healthcare Costs, Medical Expenditure Panel Survey (MEPS), Low-Income
Dougherty D, Chen X, Gray DT
AHRQ Author: Dougherty D, Gray DT
Child and adolescent health care quality and disparities: are we making progress?
The authors sought to examine trends over time in health care quality and disparities by race, Hispanic ethnicity, income, insurance, gender, rurality, and special health care needs. Using data from the 2011 National Healthcare Quality Report and Naitonal Healthcare Disparities Reprot, they found that there was some progress in health care quality and reducing disparities in children's health care quality from 2000 to 2009, but opportunities for targeting improvement strategies remain.
AHRQ-authored.
Citation: Dougherty D, Chen X, Gray DT .
Child and adolescent health care quality and disparities: are we making progress?
Acad Pediatr 2014 Mar-Apr;14(2):137-48. doi: 10.1016/j.acap.2013.11.008.
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Keywords: Children/Adolescents, Children's Health Insurance Program (CHIP), Disparities, 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
Hatch B, Angier H, Marino M
Using electronic health records to conduct children's health insurance surveillance.
The purpose of this study is to demonstrate secondary usage of electronic health records (EHRs) as an emerging data source for health insurance surveillance by community health centers and other primary care providers to track patients’ insurance coverage status and to identify patients most likely to benefit from outreach and support to obtain and maintain coverage.
AHRQ-funded; HS018569.
Citation: Hatch B, Angier H, Marino M .
Using electronic health records to conduct children's health insurance surveillance.
Pediatrics 2013 Dec;132(6):e1584-91. doi: 10.1542/peds.2013-1470..
Keywords: Electronic Health Records (EHRs), Children/Adolescents, Health Insurance, Children's Health Insurance Program (CHIP), Health Information Technology (HIT)
Clancy CM, Chesley F, Dougherty D
AHRQ Author: Clancy CM, Chesley F, Dougherty D
Health care for children and youth in the United States: 13 years of evidence.
In this article, the authors discuss the 10th in a series of annual reports summarizing various dimensions of health care for children and youth in the United States. They cover the evolution of the reports and reflect on changes in and improvements to children's health services research.
AHRQ-authored.
Citation: Clancy CM, Chesley F, Dougherty D .
Health care for children and youth in the United States: 13 years of evidence.
Acad Pediatr 2013 May-Jun;13(3):181-3. doi: 10.1016/j.acap.2013.03.012.
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Keywords: Children/Adolescents, Children's Health Insurance Program (CHIP), Healthcare Cost and Utilization Project (HCUP), Medical Expenditure Panel Survey (MEPS)