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dc.contributor.authorMullin, Daniel J
dc.contributor.authorHargraves, J. Lee
dc.contributor.authorAuxier, Andrea
dc.contributor.authorBrennhofer, Stephanie A
dc.contributor.authorHitt, Juvena R
dc.contributor.authorKessler, Rodger S.
dc.contributor.authorLittenberg, Benjamin
dc.contributor.authorMacchi, C. R.
dc.contributor.authorMartin, Matthew
dc.contributor.authorRose, Gail
dc.contributor.authorTrembath, Felicia
dc.contributor.authorvan Eeghen, Constance
dc.date2022-08-11T08:08:06.000
dc.date.accessioned2022-08-23T15:42:27Z
dc.date.available2022-08-23T15:42:27Z
dc.date.issued2019-04-01
dc.date.submitted2019-04-22
dc.identifier.citation<p>Health Serv Res. 2019 Apr;54(2):379-389. doi: 10.1111/1475-6773.13117. Epub 2019 Feb 6. <a href="https://doi.org/10.1111/1475-6773.13117" target="_blank" title="link to article on publisher's site">Link to article on publisher's site</a></p>
dc.identifier.issn1475-6773
dc.identifier.doi10.1111/1475-6773.13117
dc.identifier.pmid30729511
dc.identifier.urihttp://hdl.handle.net/20.500.14038/26851
dc.description.abstractOBJECTIVE: To perform a factor analysis of the Practice Integration Profile (PIP), a 30-item practice-level measure of primary care and behavioral health integration derived from the Agency for Healthcare Research and Quality's Lexicon for Behavioral Health and Primary Care Integration. DATA SOURCES: The PIP was completed by 735 individuals, representing 357 practices across the United States. STUDY DESIGN: The study design was a cross-sectional survey. An exploratory factor analysis and assessment of internal consistency reliability via Cronbach's alpha were performed. DATA COLLECTION METHODS: Participant responses were collected using REDCap, a secure, web-based data capture tool. PRINCIPAL FINDINGS: Five of the PIP's six domains had factor loadings for most items related to each factor representing the PIP of 0.50 or greater. However, one factor had items from two PIP domains that had loadings >0.50. A five-factor model with redistributed items resulted in improved factor loadings for all domains along with greater internal consistency reliability (>0.80). CONCLUSIONS: Five of the PIP's six domains demonstrated excellent internal consistency for measures of health care resources. Although minor improvements to strengthen the PIP are possible, it is a valid and reliable measure of the integration of primary care and behavioral health.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=30729511&dopt=Abstract">Link to article in PubMed</a></p>
dc.relation.urlhttps://doi.org/10.1111/1475-6773.13117
dc.subjectcollaborative care
dc.subjectintegrated behavioral health
dc.subjectintegrated primary care
dc.subjectprimary care behavioral health
dc.subjectpsychometrics
dc.subjectBehavioral Medicine
dc.subjectHealth Psychology
dc.subjectHealth Services Administration
dc.subjectHealth Services Research
dc.subjectIntegrative Medicine
dc.subjectMental and Social Health
dc.subjectPrimary Care
dc.subjectPsychiatry and Psychology
dc.titleMeasuring the integration of primary care and behavioral health services
dc.typeJournal Article
dc.source.journaltitleHealth services research
dc.source.volume54
dc.source.issue2
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/cipc/98
dc.identifier.contextkey14320002
html.description.abstract<p>OBJECTIVE: To perform a factor analysis of the Practice Integration Profile (PIP), a 30-item practice-level measure of primary care and behavioral health integration derived from the Agency for Healthcare Research and Quality's Lexicon for Behavioral Health and Primary Care Integration.</p> <p>DATA SOURCES: The PIP was completed by 735 individuals, representing 357 practices across the United States.</p> <p>STUDY DESIGN: The study design was a cross-sectional survey. An exploratory factor analysis and assessment of internal consistency reliability via Cronbach's alpha were performed.</p> <p>DATA COLLECTION METHODS: Participant responses were collected using REDCap, a secure, web-based data capture tool.</p> <p>PRINCIPAL FINDINGS: Five of the PIP's six domains had factor loadings for most items related to each factor representing the PIP of 0.50 or greater. However, one factor had items from two PIP domains that had loadings >0.50. A five-factor model with redistributed items resulted in improved factor loadings for all domains along with greater internal consistency reliability (>0.80).</p> <p>CONCLUSIONS: Five of the PIP's six domains demonstrated excellent internal consistency for measures of health care resources. Although minor improvements to strengthen the PIP are possible, it is a valid and reliable measure of the integration of primary care and behavioral health.</p>
dc.identifier.submissionpathcipc/98
dc.contributor.departmentCenter for Integrated Primary Care
dc.contributor.departmentDepartment of Family Medicine and Community Health
dc.source.pages379-389


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