Developing Measures for Pediatric Quality: Methods and Experiences of the CHIPRA Pediatric Quality Measures Program Grantees

Byron, Sepheen C.; Gardner, William; Kleinman, Lawrence C.; Mangione-Smith, Rita; Moon, JeanHee; Sachdeva, Ramesh; Schuster, Mark A.; Freed, Gary L.; Smith, Gwen; Scholle, Sarah Hudson

doi:10.1016/j.acap.2014.06.013

Cited by 29 publications

(23 citation statements)

References 7 publications

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“…While frontline clinicians are often able to provide input for quality measures development, garnering feedback from consumers and their caregivers is also considered essential for buy-in 97 . Byron et al 98 describe a process of engaging stakeholders at all levels of measure development and implementation for Children's Health Insurance Program Reauthorization Act (CHIPRA) quality measures. The Measure Development Plan outlines the planned process, including engaging stakeholders 99 .…”

Section: Practices/ Organizationsmentioning

confidence: 99%

Measuring and improving the quality of mental health care: a global perspective

et al. 2018

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Mental disorders are common worldwide, yet the quality of care for these disorders has not increased to the same extent as that for physical conditions. In this paper, we present a framework for promoting quality measurement as a tool for improving quality of mental health care. We identify key barriers to this effort, including lack of standardized information technology-based data sources, limited scientific evidence for mental health quality measures, lack of provider training and support, and cultural barriers to integrating mental health care within general health environments. We describe several innovations that are underway worldwide which can mitigate these barriers. Based on these experiences, we offer several recommendations for improving quality of mental health care. Health care payers and providers will need a portfolio of validated measures of patient-centered outcomes across a spectrum of conditions. Common data elements will have to be developed and embedded within existing electronic health records and other information technology tools. Mental health outcomes will need to be assessed more routinely, and measurement-based care should become part of the overall culture of the mental health care system. Health care systems will need a valid way to stratify quality measures, in order to address potential gaps among subpopulations and identify groups in most need of quality improvement. Much more attention should be devoted to workforce training in and capacity for quality improvement. The field of mental health quality improvement is a team sport, requiring coordination across different providers, involvement of consumer advocates, and leveraging of resources and incentives from health care payers and systems.

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Section: Practices/ Organizationsmentioning

confidence: 99%

Measuring and improving the quality of mental health care: a global perspective

et al. 2018

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“…In addition, it is critical that data sources are available to extract the data used in the measure. 11 Data sources include administrative data (eg, health insurance claims data), disease registries, health records (paper or electronic), and qualitative data (eg, some types of patient surveys). Some data sources are easier to obtain and use than others; therefore, when developing measures, the accessibility of data for that measure or set of measures is an important consideration.…”

Section: Development and Endorsement Of Quality Measuresmentioning

confidence: 99%

“…The next steps include an environmental scan of the literature to determine whether measures exist, development of draft measure specifications, testing of draft measures, endorsement of measures, implementation, and continual feedback from stakeholders ( Fig 1). 10,11 The development process is designed to assess a measure's importance, scientific soundness, feasibility, and usability. Moreover, as part of the development process, stakeholder input is critical in determining measures concepts and in prioritizing them.…”

Section: Development and Endorsement Of Quality Measuresmentioning

confidence: 99%

A New Era in Quality Measurement: The Development and Application of Quality Measures

Mistry¹,

Franklin²,

Adirim³

et al. 2017

Pediatrics

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Quality measures are used for a variety of purposes in health care, including clinical care improvement, regulation, accreditation, public reporting, surveillance, and maintenance of certifi cation. Most quality measures are 1 of 3 types: structure, process, or outcome. Health care quality measures should address the domains of quality across the continuum of care and refl ect patient and family experience. Measure development for pediatric health care has a number of important challenges, including gaps in the evidence base; the fact that measures for most conditions must be agespecifi c; the long, resource-intensive development process; and the national focus on measure development for adult conditions. Numerous national organizations focus on the development and application of quality measures, including the Pediatric Quality Measures Program, which is focused solely on the development and implementation of pediatric-specifi c measures. Once a quality measure is developed for use in national measurement programs, the organization that develops and/or "stewards" the measure may submit the measure or set of measures for endorsement, which is recognition of the scientifi c soundness, usability, and relevance of the measure. Quality measures must then be disseminated and applied to improve care. Although pediatric health care providers and child health care institutions alike must continually balance time and resources needed to address multiple reporting requirements, quality measurement is an important tool for advancing high-quality and safe health care for children. This policy statement provides an overview of quality measurement and describes the opportunities for pediatric health care providers to apply quality measures to improve clinical quality and performance in the delivery of pediatric health care services.

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“…17 The 2009 Children's Health Insurance Program Reauthorization Act has created an unprecedented opportunity to address the longstanding gap in our understanding of care quality for CWD. 18 The Children's Health Insurance Program Reauthorization Act required the Agency for Healthcare Research and Quality and the Centers for Medicare and Medicaid Services to establish the Pediatric Quality Measures Program; the Center of Excellence for Pediatric Quality Measurement at Boston Children's Hospital was assigned to address care quality for CWD and developed the CWD algorithm (CWDA) so that the proliferating number of available claims-based measures could be applied to the study of care quality for CWD.…”

Section: What This Study Addsmentioning

confidence: 99%