Provider Practices in Prediabetes Intervention and Diabetes Prevention: Application of Evidence-Based Research in the Medical Office Setting

A cross-sectional study was performed to determine if evidence-based research in prediabetes management is utilized in the medical office setting in an effort to reduce the incidence of type 2 diabetes, and to determine whether any particular demographic variables including body mass index (BMI) and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of primary care & community health 2011-07, Vol.2 (3), p.187-191
Hauptverfasser: Cloney, Tina Ann, Galer-Unti, Regina A., Barkley, William M.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 191
container_issue 3
container_start_page 187
container_title Journal of primary care & community health
container_volume 2
creator Cloney, Tina Ann
Galer-Unti, Regina A.
Barkley, William M.
description A cross-sectional study was performed to determine if evidence-based research in prediabetes management is utilized in the medical office setting in an effort to reduce the incidence of type 2 diabetes, and to determine whether any particular demographic variables including body mass index (BMI) and provider type (physician and nonphysician) predict referrals for prediabetes management (P = .05). Electronic medical records (n = 82 317) were examined for International Classification of Diseases (ICD) codes and keywords disclosing a diagnosis of prediabetes. The records of individuals with diagnosed prediabetes were subsequently examined for keywords and ICD codes for lifestyle intervention. Logistic regression was utilized to determine whether any particular demographic factors significantly predicted whether medical providers will provide recommendations or referrals for lifestyle management of prediabetes. Age, BMI, and race were found to be significant predictors for recommendations/referrals, although overall rates of recommendation or referral were poor. Provider education and enhancements in organizational policy related to referral procedures and continuity of care from the clinical setting to the community health setting are crucial in promoting early interventions in prediabetes to offset the current projections for an increase in diabetes incidence.
doi_str_mv 10.1177/2150131911401625
format Article
fullrecord <record><control><sourceid>proquest_AFRWT</sourceid><recordid>TN_cdi_proquest_miscellaneous_1372696102</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_2150131911401625</sage_id><sourcerecordid>1372696102</sourcerecordid><originalsourceid>FETCH-LOGICAL-c290t-c02336c579c1213f4bbed2f782e604317839dab3571f0d171b84ec24d97f74e03</originalsourceid><addsrcrecordid>eNp1UD1PwzAQtRCIVqU7E8rIEvDZTpyMqFCoVIkOMFuOfUGpWqfYSSX-Pa6adkDilvt69-7uEXIL9AFAykcGGQUOJYCgkLPsgowPpRQ4k5fnGMoRmYawptFEznkO12TEeEFFQemYzFe-3TcWfbLy2nSNwZA0LiZoG11hF9OF69Dv0XVN6xLtbPJ86kTUUL8hV7XeBJwOfkI-5y8fs7d0-f66mD0tU8NK2qWGsniByWRpgAGvRVWhZbUsGOZUcJAFL62ueCahphYkVIVAw4QtZS0FUj4h90fenW-_ewyd2jbB4GajHbZ9UMAly8sc4p4JoUeo8W0IHmu1881W-x8FVB0EVH8FjCN3A3tfbdGeB05yRUB6BAT9hWrd9t7Fb_8n_AWuIXYX</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1372696102</pqid></control><display><type>article</type><title>Provider Practices in Prediabetes Intervention and Diabetes Prevention: Application of Evidence-Based Research in the Medical Office Setting</title><source>Sage Journals GOLD Open Access 2024</source><creator>Cloney, Tina Ann ; Galer-Unti, Regina A. ; Barkley, William M.</creator><creatorcontrib>Cloney, Tina Ann ; Galer-Unti, Regina A. ; Barkley, William M.</creatorcontrib><description>A cross-sectional study was performed to determine if evidence-based research in prediabetes management is utilized in the medical office setting in an effort to reduce the incidence of type 2 diabetes, and to determine whether any particular demographic variables including body mass index (BMI) and provider type (physician and nonphysician) predict referrals for prediabetes management (P = .05). Electronic medical records (n = 82 317) were examined for International Classification of Diseases (ICD) codes and keywords disclosing a diagnosis of prediabetes. The records of individuals with diagnosed prediabetes were subsequently examined for keywords and ICD codes for lifestyle intervention. Logistic regression was utilized to determine whether any particular demographic factors significantly predicted whether medical providers will provide recommendations or referrals for lifestyle management of prediabetes. Age, BMI, and race were found to be significant predictors for recommendations/referrals, although overall rates of recommendation or referral were poor. Provider education and enhancements in organizational policy related to referral procedures and continuity of care from the clinical setting to the community health setting are crucial in promoting early interventions in prediabetes to offset the current projections for an increase in diabetes incidence.</description><identifier>ISSN: 2150-1319</identifier><identifier>EISSN: 2150-1327</identifier><identifier>DOI: 10.1177/2150131911401625</identifier><identifier>PMID: 23804800</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><ispartof>Journal of primary care &amp; community health, 2011-07, Vol.2 (3), p.187-191</ispartof><rights>The Author(s) 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c290t-c02336c579c1213f4bbed2f782e604317839dab3571f0d171b84ec24d97f74e03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/2150131911401625$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/2150131911401625$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21966,27853,27924,27925,44945,45333</link.rule.ids><linktorsrc>$$Uhttps://journals.sagepub.com/doi/full/10.1177/2150131911401625?utm_source=summon&amp;utm_medium=discovery-provider$$EView_record_in_SAGE_Publications$$FView_record_in_$$GSAGE_Publications</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23804800$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Cloney, Tina Ann</creatorcontrib><creatorcontrib>Galer-Unti, Regina A.</creatorcontrib><creatorcontrib>Barkley, William M.</creatorcontrib><title>Provider Practices in Prediabetes Intervention and Diabetes Prevention: Application of Evidence-Based Research in the Medical Office Setting</title><title>Journal of primary care &amp; community health</title><addtitle>J Prim Care Community Health</addtitle><description>A cross-sectional study was performed to determine if evidence-based research in prediabetes management is utilized in the medical office setting in an effort to reduce the incidence of type 2 diabetes, and to determine whether any particular demographic variables including body mass index (BMI) and provider type (physician and nonphysician) predict referrals for prediabetes management (P = .05). Electronic medical records (n = 82 317) were examined for International Classification of Diseases (ICD) codes and keywords disclosing a diagnosis of prediabetes. The records of individuals with diagnosed prediabetes were subsequently examined for keywords and ICD codes for lifestyle intervention. Logistic regression was utilized to determine whether any particular demographic factors significantly predicted whether medical providers will provide recommendations or referrals for lifestyle management of prediabetes. Age, BMI, and race were found to be significant predictors for recommendations/referrals, although overall rates of recommendation or referral were poor. Provider education and enhancements in organizational policy related to referral procedures and continuity of care from the clinical setting to the community health setting are crucial in promoting early interventions in prediabetes to offset the current projections for an increase in diabetes incidence.</description><issn>2150-1319</issn><issn>2150-1327</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp1UD1PwzAQtRCIVqU7E8rIEvDZTpyMqFCoVIkOMFuOfUGpWqfYSSX-Pa6adkDilvt69-7uEXIL9AFAykcGGQUOJYCgkLPsgowPpRQ4k5fnGMoRmYawptFEznkO12TEeEFFQemYzFe-3TcWfbLy2nSNwZA0LiZoG11hF9OF69Dv0XVN6xLtbPJ86kTUUL8hV7XeBJwOfkI-5y8fs7d0-f66mD0tU8NK2qWGsniByWRpgAGvRVWhZbUsGOZUcJAFL62ueCahphYkVIVAw4QtZS0FUj4h90fenW-_ewyd2jbB4GajHbZ9UMAly8sc4p4JoUeo8W0IHmu1881W-x8FVB0EVH8FjCN3A3tfbdGeB05yRUB6BAT9hWrd9t7Fb_8n_AWuIXYX</recordid><startdate>20110701</startdate><enddate>20110701</enddate><creator>Cloney, Tina Ann</creator><creator>Galer-Unti, Regina A.</creator><creator>Barkley, William M.</creator><general>SAGE Publications</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20110701</creationdate><title>Provider Practices in Prediabetes Intervention and Diabetes Prevention</title><author>Cloney, Tina Ann ; Galer-Unti, Regina A. ; Barkley, William M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c290t-c02336c579c1213f4bbed2f782e604317839dab3571f0d171b84ec24d97f74e03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cloney, Tina Ann</creatorcontrib><creatorcontrib>Galer-Unti, Regina A.</creatorcontrib><creatorcontrib>Barkley, William M.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of primary care &amp; community health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cloney, Tina Ann</au><au>Galer-Unti, Regina A.</au><au>Barkley, William M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Provider Practices in Prediabetes Intervention and Diabetes Prevention: Application of Evidence-Based Research in the Medical Office Setting</atitle><jtitle>Journal of primary care &amp; community health</jtitle><addtitle>J Prim Care Community Health</addtitle><date>2011-07-01</date><risdate>2011</risdate><volume>2</volume><issue>3</issue><spage>187</spage><epage>191</epage><pages>187-191</pages><issn>2150-1319</issn><eissn>2150-1327</eissn><abstract>A cross-sectional study was performed to determine if evidence-based research in prediabetes management is utilized in the medical office setting in an effort to reduce the incidence of type 2 diabetes, and to determine whether any particular demographic variables including body mass index (BMI) and provider type (physician and nonphysician) predict referrals for prediabetes management (P = .05). Electronic medical records (n = 82 317) were examined for International Classification of Diseases (ICD) codes and keywords disclosing a diagnosis of prediabetes. The records of individuals with diagnosed prediabetes were subsequently examined for keywords and ICD codes for lifestyle intervention. Logistic regression was utilized to determine whether any particular demographic factors significantly predicted whether medical providers will provide recommendations or referrals for lifestyle management of prediabetes. Age, BMI, and race were found to be significant predictors for recommendations/referrals, although overall rates of recommendation or referral were poor. Provider education and enhancements in organizational policy related to referral procedures and continuity of care from the clinical setting to the community health setting are crucial in promoting early interventions in prediabetes to offset the current projections for an increase in diabetes incidence.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>23804800</pmid><doi>10.1177/2150131911401625</doi><tpages>5</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 2150-1319
ispartof Journal of primary care & community health, 2011-07, Vol.2 (3), p.187-191
issn 2150-1319
2150-1327
language eng
recordid cdi_proquest_miscellaneous_1372696102
source Sage Journals GOLD Open Access 2024
title Provider Practices in Prediabetes Intervention and Diabetes Prevention: Application of Evidence-Based Research in the Medical Office Setting
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T12%3A47%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_AFRWT&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Provider%20Practices%20in%20Prediabetes%20Intervention%20and%20Diabetes%20Prevention:%20Application%20of%20Evidence-Based%20Research%20in%20the%20Medical%20Office%20Setting&rft.jtitle=Journal%20of%20primary%20care%20&%20community%20health&rft.au=Cloney,%20Tina%20Ann&rft.date=2011-07-01&rft.volume=2&rft.issue=3&rft.spage=187&rft.epage=191&rft.pages=187-191&rft.issn=2150-1319&rft.eissn=2150-1327&rft_id=info:doi/10.1177/2150131911401625&rft_dat=%3Cproquest_AFRWT%3E1372696102%3C/proquest_AFRWT%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1372696102&rft_id=info:pmid/23804800&rft_sage_id=10.1177_2150131911401625&rfr_iscdi=true