Taking Stock of the CSHCN Screener: A Review of Common Questions and Current Reflections.
Since 2000, the Children with Special Health Care Needs (CSHCN) Screener (CS) has been widely used nationally, by states, and locally as a standardized and brief survey-based method to identify populations of children who experience chronic physical, mental, behavioral, or other conditions and who a...
| Publicado en: | Academic Pediatrics Vol. 15; no. 2; pp. 165 - 177 |
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| Autores principales: | , , , , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Elsevier B.V.
Mar/Apr2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=107779629&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107779629 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18762859 8NBK jtl: Academic Pediatrics issn: 18762859 maglogo: N pubinfo: dt: Mar/Apr2015 vid: 15 iid: 2 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 107779629 101605020 101605020 10.1016/j.acap.2014.10.003 NLM25486969 107779629 ppf: 165 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Taking Stock of the CSHCN Screener: A Review of Common Questions and Current Reflections. aug: au: Bethell, Christina D. Blumberg, Stephen J. Stein, Ruth E. K. Strickland, Bonnie Robertson, Julie Newacheck, Paul W. affil: Child and Adolescent Health Measurement Initiative, Department of Population, Family and Reproductive Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Md sug: subj: Health Screening In Infancy and Childhood Quality of Health Care Needs Assessment Human Infant Child, Preschool Child Adolescence Special Populations Funding Source Infant: 1-23 months Child, Preschool: 2-5 years Child: 6-12 years Adolescent: 13-18 years ab: Since 2000, the Children with Special Health Care Needs (CSHCN) Screener (CS) has been widely used nationally, by states, and locally as a standardized and brief survey-based method to identify populations of children who experience chronic physical, mental, behavioral, or other conditions and who also require types and amounts of health and related services beyond those routinely used by children. Common questions about the CS include those related to its development and uses; its conceptual framework and potential for under- or overidentification; its ability to stratify CSHCN by complexity of service needs and daily life impacts; and its potential application in clinical settings and comparisons with other identification approaches. This review recaps the development, design, and findings from the use of the CS and synthesizes findings from studies conducted over the past 13 years as well as updated findings on the CS to briefly address the 12 most common questions asked about this tool through technical assistance provided regarding the CS since 2001. Across a range of analyses, the CS consistently identifies a subset of children with chronic conditions who need or use more than a routine type or amount of medical- and health-related services and who share common needs for health care, including care coordination, access to specialized and community-based services, and enhanced family engagement. Scoring algorithms exist to stratify CSHCN by complexity of needs and higher costs of care. Combining CS data with clinical diagnostic code algorithms may enhance capacity to further identify meaningful subgroups. Clinical application is most suited for identifying and characterizing populations of patients and assessing quality and system improvement impacts for children with a broad range of chronic conditions. Other clinical applications require further implementation research. Use of the CS in clinical settings is limited because integration of standardized patient-reported health information is not yet common practice in most settings or in electronic health records. The CS continues to demonstrate validity as a non-condition-specific, population-based tool that addresses many of the limits of condition or diagnosis checklists, including the relatively low prevalence of many individual conditions and substantial within-diagnosis variations and acrossdiagnoses similarities in health service needs, functioning, and quality of care. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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