Categorization of National Pediatric Quality Measures
- PMID: 28298481
- DOI: 10.1542/peds.2016-3269
Categorization of National Pediatric Quality Measures
Abstract
Background and objective: The number of quality measures has grown dramatically in recent years. This growth has outpaced research characterizing content and impact of these metrics. Our study aimed to identify and classify nationally promoted quality metrics applicable to children, both by type and by content, and to analyze the representation of common pediatric issues among available measures.
Methods: We identified nationally applicable quality measure collections from organizational databases or clearinghouses, federal Web sites, and key informant interviews and then screened each measure for pediatric applicability. We classified measures as structure, process, or outcome using a Donabedian framework. Additionally, we classified process measures as targeting underuse, overuse, or misuse of health services. We then classified measures by content area and compared disease-specific metrics to frequency of diagnoses observed among children.
Results: A total of 386 identified measures were relevant to pediatric patients; exclusion of duplicates left 257 unique measures. The majority of pediatric measures were process measures (59%), most of which target underuse of health services (77%). Among disease-specific measures, those related to depression and asthma were the most common, reflecting the prevalence and importance of these conditions in pediatrics. Conditions such as respiratory infection and otitis media had fewer associated measures despite their prevalence. Other notable pediatric issues lacking associated measures included care of medically complex children and injuries.
Conclusions: Pediatric quality measures are predominated by process measures targeting underuse of health care services. The content represented among these measures is broad, although there remain important gaps.
Copyright © 2017 by the American Academy of Pediatrics.
Conflict of interest statement
POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.
Comment in
-
The Challenges of Addressing Pediatric Quality Measurement Gaps.Pediatrics. 2017 Apr;139(4):e20170174. doi: 10.1542/peds.2017-0174. Epub 2017 Mar 15. Pediatrics. 2017. PMID: 28298483 No abstract available.
-
Re: Overlooked Quality Measures.Pediatrics. 2017 Aug;140(2):e20171692A. doi: 10.1542/peds.2017-1692A. Pediatrics. 2017. PMID: 28771423 No abstract available.
-
Authors' Response.Pediatrics. 2017 Aug;140(2):e20171692B. doi: 10.1542/peds.2017-1692B. Pediatrics. 2017. PMID: 28771424 No abstract available.
-
The Landscape of Quality Measures and Quality Improvement for the Care of Hospitalized Children in the United States: Efforts Over the Last Decade.Hosp Pediatr. 2017 Dec;7(12):739-747. doi: 10.1542/hpeds.2017-0051. Epub 2017 Nov 9. Hosp Pediatr. 2017. PMID: 29122889 No abstract available.
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical