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What Factors Influence States’ Capacity to Report Children’s Health Care Quality Measures? A Multiple-Case Study
Objectives 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 (Child Core Set). Methods We conducted a multiple-case study of f...
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Published in: | Maternal and child health journal 2017, Vol.21 (1), p.187-198 |
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description | Objectives
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 (Child Core Set).
Methods
We conducted a multiple-case study of four high-performing states participating in the Children’s Health Insurance Program Reauthorization Act (CHIPRA) Quality Demonstration Grant Program: Illinois, Maine, Pennsylvania, and Oregon. Cases were purposively selected for their diverse measurement approaches and used data from 2010 to 2015, including 154 interviews, semiannual grant progress reports, and annual public reports on Child Core Set measures. We followed Yin’s multiple-case study methodology to describe how and why each state increased the number of measures reported to CMS.
Results
All four states increased the number of Child Core Set measures reported to CMS during the grant period. Each took a different approach to reporting, depending on the available technical, organizational, and behavioral inputs in the state. 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. These factors were enhanced by CHIPRA Quality Demonstration grant funding and other federal capacity building activities, as hypothesized in our conceptual framework. These and other states have made progress reporting the Child Core Set since 2010.
Conclusion
With financial support and investment in state data systems and organizational factors, states can overcome challenges to reporting most of the Child Core Set measures. |
doi_str_mv | 10.1007/s10995-016-2108-8 |
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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 (Child Core Set).
Methods
We conducted a multiple-case study of four high-performing states participating in the Children’s Health Insurance Program Reauthorization Act (CHIPRA) Quality Demonstration Grant Program: Illinois, Maine, Pennsylvania, and Oregon. Cases were purposively selected for their diverse measurement approaches and used data from 2010 to 2015, including 154 interviews, semiannual grant progress reports, and annual public reports on Child Core Set measures. We followed Yin’s multiple-case study methodology to describe how and why each state increased the number of measures reported to CMS.
Results
All four states increased the number of Child Core Set measures reported to CMS during the grant period. Each took a different approach to reporting, depending on the available technical, organizational, and behavioral inputs in the state. 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. These factors were enhanced by CHIPRA Quality Demonstration grant funding and other federal capacity building activities, as hypothesized in our conceptual framework. These and other states have made progress reporting the Child Core Set since 2010.
Conclusion
With financial support and investment in state data systems and organizational factors, states can overcome challenges to reporting most of the Child Core Set measures.</description><identifier>ISSN: 1092-7875</identifier><identifier>EISSN: 1573-6628</identifier><identifier>DOI: 10.1007/s10995-016-2108-8</identifier><identifier>PMID: 27475824</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject><![CDATA[Capacity development ; Case studies ; Child ; Child health services ; Child Health Services - organization & administration ; Child Health Services - standards ; Child, Preschool ; Children & youth ; Childrens health ; Disease reporting ; Government programs ; Grants ; Gynecology ; Health care ; Health care policy ; Health insurance ; Healthcare Financing ; Humans ; Illinois ; Immunization ; Infant ; Information systems ; Insurance, Health - legislation & jurisprudence ; Insurance, Health - trends ; Intensive care ; Interviews ; Maine ; Management ; Maternal and Child Health ; Medicaid ; Medicaid - legislation & jurisprudence ; Medicaid - organization & administration ; Medicare ; Medicine ; Medicine & Public Health ; Oregon ; Pediatrics ; Pennsylvania ; Population Economics ; Prenatal care ; Public Health ; Qualitative research ; Quality of Health Care - ethics ; Quality of Health Care - legislation & jurisprudence ; Records and correspondence ; Sociology ; State Government ; United States]]></subject><ispartof>Maternal and child health journal, 2017, Vol.21 (1), p.187-198</ispartof><rights>Springer Science+Business Media New York 2016</rights><rights>COPYRIGHT 2017 Springer</rights><rights>Springer Science+Business Media New York 2016.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c460t-a6bff07a800f64bcfd1430052359180a4e159295f80c0e3575f973abc7b1b3b43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27475824$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Christensen, Anna L.</creatorcontrib><creatorcontrib>Petersen, Dana M.</creatorcontrib><creatorcontrib>Burton, Rachel A.</creatorcontrib><creatorcontrib>Forsberg, Vanessa C.</creatorcontrib><creatorcontrib>Devers, Kelly J.</creatorcontrib><title>What Factors Influence States’ Capacity to Report Children’s Health Care Quality Measures? A Multiple-Case Study</title><title>Maternal and child health journal</title><addtitle>Matern Child Health J</addtitle><addtitle>Matern Child Health J</addtitle><description>Objectives
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 (Child Core Set).
Methods
We conducted a multiple-case study of four high-performing states participating in the Children’s Health Insurance Program Reauthorization Act (CHIPRA) Quality Demonstration Grant Program: Illinois, Maine, Pennsylvania, and Oregon. Cases were purposively selected for their diverse measurement approaches and used data from 2010 to 2015, including 154 interviews, semiannual grant progress reports, and annual public reports on Child Core Set measures. We followed Yin’s multiple-case study methodology to describe how and why each state increased the number of measures reported to CMS.
Results
All four states increased the number of Child Core Set measures reported to CMS during the grant period. Each took a different approach to reporting, depending on the available technical, organizational, and behavioral inputs in the state. 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. These factors were enhanced by CHIPRA Quality Demonstration grant funding and other federal capacity building activities, as hypothesized in our conceptual framework. These and other states have made progress reporting the Child Core Set since 2010.
Conclusion
With financial support and investment in state data systems and organizational factors, states can overcome challenges to reporting most of the Child Core Set measures.</description><subject>Capacity development</subject><subject>Case studies</subject><subject>Child</subject><subject>Child health services</subject><subject>Child Health Services - organization & administration</subject><subject>Child Health Services - standards</subject><subject>Child, Preschool</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Disease reporting</subject><subject>Government programs</subject><subject>Grants</subject><subject>Gynecology</subject><subject>Health care</subject><subject>Health care policy</subject><subject>Health insurance</subject><subject>Healthcare Financing</subject><subject>Humans</subject><subject>Illinois</subject><subject>Immunization</subject><subject>Infant</subject><subject>Information systems</subject><subject>Insurance, Health - legislation & jurisprudence</subject><subject>Insurance, Health - trends</subject><subject>Intensive care</subject><subject>Interviews</subject><subject>Maine</subject><subject>Management</subject><subject>Maternal and Child Health</subject><subject>Medicaid</subject><subject>Medicaid - legislation & jurisprudence</subject><subject>Medicaid - organization & administration</subject><subject>Medicare</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Oregon</subject><subject>Pediatrics</subject><subject>Pennsylvania</subject><subject>Population Economics</subject><subject>Prenatal care</subject><subject>Public Health</subject><subject>Qualitative research</subject><subject>Quality of Health Care - ethics</subject><subject>Quality of Health Care - legislation & jurisprudence</subject><subject>Records and correspondence</subject><subject>Sociology</subject><subject>State Government</subject><subject>United States</subject><issn>1092-7875</issn><issn>1573-6628</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1ks1u1DAUhSMEoqXwAGyQJSTEJsV2_JOs0CiitFIrxJ9YWo5zPZPKEwfbWcyO1-D1eBIcplCKBnlhy_c751rXpyieEnxKMJavIsFNw0tMREkJrsv6XnFMuKxKIWh9P59xQ0tZS35UPIrxGuOswuxhcUQlk7ym7LhIXzY6oTNtkg8RXYzWzTAaQB-TThB_fPuOWj1pM6QdSh59gMmHhNrN4PoAYy5HdA7apU3GAqD3s3YLegU6zgHia7RCV7NLw-SgbHVcfOd-97h4YLWL8ORmPyk-n7351J6Xl-_eXrSry9IwgVOpRWctlrrG2ArWGdsTVmHMacUbUmPNgPCGNtzW2GCouOS2kZXujOxIV3WsOile7n2n4L_OEJPaDtGAc3oEP0dFaipkJRtRZfT5P-i1n8OYX6eoFIIRwSm9pdbagRpG61PQZjFVKyYlZZSzpW15gFrDCEE7P4Id8vUd_vQAn1cP28EcFLz4S7D59QHRuzkNfox3QbIHTfAxBrBqCsNWh50iWC0RUvsIqRwhtURI1Vnz7GYSc7eF_o_id2YyQPdAzKVxDeF2VP93_QlwjM7f</recordid><startdate>2017</startdate><enddate>2017</enddate><creator>Christensen, Anna L.</creator><creator>Petersen, Dana M.</creator><creator>Burton, Rachel A.</creator><creator>Forsberg, Vanessa C.</creator><creator>Devers, Kelly J.</creator><general>Springer US</general><general>Springer</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>2017</creationdate><title>What Factors Influence States’ Capacity to Report Children’s Health Care Quality Measures? A Multiple-Case Study</title><author>Christensen, Anna L. ; Petersen, Dana M. ; Burton, Rachel A. ; Forsberg, Vanessa C. ; Devers, Kelly J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-a6bff07a800f64bcfd1430052359180a4e159295f80c0e3575f973abc7b1b3b43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Capacity development</topic><topic>Case studies</topic><topic>Child</topic><topic>Child health services</topic><topic>Child Health Services - organization & administration</topic><topic>Child Health Services - standards</topic><topic>Child, Preschool</topic><topic>Children & youth</topic><topic>Childrens health</topic><topic>Disease reporting</topic><topic>Government programs</topic><topic>Grants</topic><topic>Gynecology</topic><topic>Health care</topic><topic>Health care policy</topic><topic>Health insurance</topic><topic>Healthcare Financing</topic><topic>Humans</topic><topic>Illinois</topic><topic>Immunization</topic><topic>Infant</topic><topic>Information systems</topic><topic>Insurance, Health - legislation & jurisprudence</topic><topic>Insurance, Health - trends</topic><topic>Intensive care</topic><topic>Interviews</topic><topic>Maine</topic><topic>Management</topic><topic>Maternal and Child Health</topic><topic>Medicaid</topic><topic>Medicaid - legislation & jurisprudence</topic><topic>Medicaid - organization & administration</topic><topic>Medicare</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Oregon</topic><topic>Pediatrics</topic><topic>Pennsylvania</topic><topic>Population Economics</topic><topic>Prenatal care</topic><topic>Public Health</topic><topic>Qualitative research</topic><topic>Quality of Health Care - ethics</topic><topic>Quality of Health Care - legislation & jurisprudence</topic><topic>Records and correspondence</topic><topic>Sociology</topic><topic>State Government</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Christensen, Anna L.</creatorcontrib><creatorcontrib>Petersen, Dana M.</creatorcontrib><creatorcontrib>Burton, Rachel A.</creatorcontrib><creatorcontrib>Forsberg, Vanessa C.</creatorcontrib><creatorcontrib>Devers, Kelly J.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Maternal and child health journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Christensen, Anna L.</au><au>Petersen, Dana M.</au><au>Burton, Rachel A.</au><au>Forsberg, Vanessa C.</au><au>Devers, Kelly J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>What Factors Influence States’ Capacity to Report Children’s Health Care Quality Measures? A Multiple-Case Study</atitle><jtitle>Maternal and child health journal</jtitle><stitle>Matern Child Health J</stitle><addtitle>Matern Child Health J</addtitle><date>2017</date><risdate>2017</risdate><volume>21</volume><issue>1</issue><spage>187</spage><epage>198</epage><pages>187-198</pages><issn>1092-7875</issn><eissn>1573-6628</eissn><abstract>Objectives
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 (Child Core Set).
Methods
We conducted a multiple-case study of four high-performing states participating in the Children’s Health Insurance Program Reauthorization Act (CHIPRA) Quality Demonstration Grant Program: Illinois, Maine, Pennsylvania, and Oregon. Cases were purposively selected for their diverse measurement approaches and used data from 2010 to 2015, including 154 interviews, semiannual grant progress reports, and annual public reports on Child Core Set measures. We followed Yin’s multiple-case study methodology to describe how and why each state increased the number of measures reported to CMS.
Results
All four states increased the number of Child Core Set measures reported to CMS during the grant period. Each took a different approach to reporting, depending on the available technical, organizational, and behavioral inputs in the state. 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. These factors were enhanced by CHIPRA Quality Demonstration grant funding and other federal capacity building activities, as hypothesized in our conceptual framework. These and other states have made progress reporting the Child Core Set since 2010.
Conclusion
With financial support and investment in state data systems and organizational factors, states can overcome challenges to reporting most of the Child Core Set measures.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>27475824</pmid><doi>10.1007/s10995-016-2108-8</doi><tpages>12</tpages></addata></record> |
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subjects | Capacity development Case studies Child Child health services Child Health Services - organization & administration Child Health Services - standards Child, Preschool Children & youth Childrens health Disease reporting Government programs Grants Gynecology Health care Health care policy Health insurance Healthcare Financing Humans Illinois Immunization Infant Information systems Insurance, Health - legislation & jurisprudence Insurance, Health - trends Intensive care Interviews Maine Management Maternal and Child Health Medicaid Medicaid - legislation & jurisprudence Medicaid - organization & administration Medicare Medicine Medicine & Public Health Oregon Pediatrics Pennsylvania Population Economics Prenatal care Public Health Qualitative research Quality of Health Care - ethics Quality of Health Care - legislation & jurisprudence Records and correspondence Sociology State Government United States |
title | What Factors Influence States’ Capacity to Report Children’s Health Care Quality Measures? A Multiple-Case Study |
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