Collecting Patient Race/Ethnicity and Primary Language Data in Ambulatory Care Settings: A Case Study in Methodology
Objective. To collect patient race/ethnicity and language (r/e/l) in an ambulatory care setting. Data Sources/Study Setting. The Palo Alto Medical Foundation (PAMF), December 2006–May 2008. Study Design. Three pilot studies: (1) Comparing mail versus telephone versus clinic visit questionnaire distr...
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creator | Palaniappan, Latha P. Wong, Eric C. Shin, Jessica J. Moreno, Maria R. Otero‐Sabogal, Regina |
description | Objective. To collect patient race/ethnicity and language (r/e/l) in an ambulatory care setting.
Data Sources/Study Setting. The Palo Alto Medical Foundation (PAMF), December 2006–May 2008.
Study Design. Three pilot studies: (1) Comparing mail versus telephone versus clinic visit questionnaire distribution; (2) comparing the front desk method (FDM) versus exam room method (ERM) in the clinic visit; and (3) determining resource allocation necessary for data entry.
Data Collection/Extraction Methods. Studies were planned and executed by PAMF's Quality and Planning division.
Principal Findings. Collecting r/e/l data during clinic visits elicited the highest response rate. The FDM yielded higher response rate than the ERM. One full‐time equivalent is initially necessary for data entry.
Conclusions. Conducting sequential studies can help guide r/e/l collection in a short time frame. |
doi_str_mv | 10.1111/j.1475-6773.2009.00992.x |
format | Article |
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Data Sources/Study Setting. The Palo Alto Medical Foundation (PAMF), December 2006–May 2008.
Study Design. Three pilot studies: (1) Comparing mail versus telephone versus clinic visit questionnaire distribution; (2) comparing the front desk method (FDM) versus exam room method (ERM) in the clinic visit; and (3) determining resource allocation necessary for data entry.
Data Collection/Extraction Methods. Studies were planned and executed by PAMF's Quality and Planning division.
Principal Findings. Collecting r/e/l data during clinic visits elicited the highest response rate. The FDM yielded higher response rate than the ERM. One full‐time equivalent is initially necessary for data entry.
Conclusions. Conducting sequential studies can help guide r/e/l collection in a short time frame.</description><identifier>ISSN: 0017-9124</identifier><identifier>EISSN: 1475-6773</identifier><identifier>DOI: 10.1111/j.1475-6773.2009.00992.x</identifier><identifier>PMID: 19555396</identifier><identifier>CODEN: HESEA5</identifier><language>eng</language><publisher>Malden, USA: Blackwell Publishing Inc</publisher><subject>Ambulatory care ; Ambulatory Care Facilities - statistics & numerical data ; Ambulatory health care ; Ambulatory medical care ; Case studies ; Clinics ; Continental Population Groups - statistics & numerical data ; Data collection ; Data Collection - methods ; Data entry ; demography ; Ethnic Groups - statistics & numerical data ; Ethnicity ; health care organizations and systems ; Health Services Research ; Humans ; Interviews as Topic ; Language ; Medical care ; Medical care quality ; Medical research ; Medical treatment ; Medicine, Experimental ; Methodology ; Methods ; Minority & ethnic groups ; Organizational Case Studies ; Patients - statistics & numerical data ; Pilot Projects ; Postal Service ; Quality management ; quality of care/patient safety (measurement) ; Questionnaires ; Racial/ethnic differences in health and health care ; Research and Methods Briefs ; Resource allocation ; Response rate ; Response rates ; Studies ; survey research and questionnaire design ; Surveys and Questionnaires ; Telephone ; Testing</subject><ispartof>Health services research, 2009-10, Vol.44 (5p1), p.1750-1761</ispartof><rights>Health Research and Educational Trust</rights><rights>COPYRIGHT 2009 Health Research and Educational Trust</rights><rights>COPYRIGHT 2009 Health Research and Educational Trust</rights><rights>2009 Health Research and Educational Trust</rights><rights>2009 Health Research and Educational Trust 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c7482-de32965e23cf6c58b55ba85b4ff841de13eae5f1a8dde9b75a007e1a6b8f30983</citedby><cites>FETCH-LOGICAL-c7482-de32965e23cf6c58b55ba85b4ff841de13eae5f1a8dde9b75a007e1a6b8f30983</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2754558/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2754558/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,1411,27903,27904,30978,30979,45553,45554,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19555396$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Palaniappan, Latha P.</creatorcontrib><creatorcontrib>Wong, Eric C.</creatorcontrib><creatorcontrib>Shin, Jessica J.</creatorcontrib><creatorcontrib>Moreno, Maria R.</creatorcontrib><creatorcontrib>Otero‐Sabogal, Regina</creatorcontrib><title>Collecting Patient Race/Ethnicity and Primary Language Data in Ambulatory Care Settings: A Case Study in Methodology</title><title>Health services research</title><addtitle>Health Serv Res</addtitle><description>Objective. To collect patient race/ethnicity and language (r/e/l) in an ambulatory care setting.
Data Sources/Study Setting. The Palo Alto Medical Foundation (PAMF), December 2006–May 2008.
Study Design. Three pilot studies: (1) Comparing mail versus telephone versus clinic visit questionnaire distribution; (2) comparing the front desk method (FDM) versus exam room method (ERM) in the clinic visit; and (3) determining resource allocation necessary for data entry.
Data Collection/Extraction Methods. Studies were planned and executed by PAMF's Quality and Planning division.
Principal Findings. Collecting r/e/l data during clinic visits elicited the highest response rate. The FDM yielded higher response rate than the ERM. One full‐time equivalent is initially necessary for data entry.
Conclusions. Conducting sequential studies can help guide r/e/l collection in a short time frame.</description><subject>Ambulatory care</subject><subject>Ambulatory Care Facilities - statistics & numerical data</subject><subject>Ambulatory health care</subject><subject>Ambulatory medical care</subject><subject>Case studies</subject><subject>Clinics</subject><subject>Continental Population Groups - statistics & numerical data</subject><subject>Data collection</subject><subject>Data Collection - methods</subject><subject>Data entry</subject><subject>demography</subject><subject>Ethnic Groups - statistics & numerical data</subject><subject>Ethnicity</subject><subject>health care organizations and systems</subject><subject>Health Services Research</subject><subject>Humans</subject><subject>Interviews as Topic</subject><subject>Language</subject><subject>Medical care</subject><subject>Medical care quality</subject><subject>Medical research</subject><subject>Medical treatment</subject><subject>Medicine, Experimental</subject><subject>Methodology</subject><subject>Methods</subject><subject>Minority & ethnic groups</subject><subject>Organizational Case Studies</subject><subject>Patients - statistics & numerical data</subject><subject>Pilot Projects</subject><subject>Postal Service</subject><subject>Quality management</subject><subject>quality of care/patient safety (measurement)</subject><subject>Questionnaires</subject><subject>Racial/ethnic differences in health and health care</subject><subject>Research and Methods Briefs</subject><subject>Resource allocation</subject><subject>Response rate</subject><subject>Response rates</subject><subject>Studies</subject><subject>survey research and questionnaire design</subject><subject>Surveys and Questionnaires</subject><subject>Telephone</subject><subject>Testing</subject><issn>0017-9124</issn><issn>1475-6773</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>N95</sourceid><sourceid>7QJ</sourceid><recordid>eNqNk21v0zAQxyMEYmXwFVDEiyEkktlxnIdJIFWlbEhFmzZ4bTnOJXGV2iN2oP32OEs1GlQhHMWJ7n73151953k-RiF263wd4jilQZKmJIwQykP35lG4feLNHh1PvRlCOA1yHMUn3gtj1gihjGTxc-8E55RSkiczzy5024KwUtX-DbcSlPVvuYDzpW2UFNLufK5K_6aTG97t_BVXdc9r8D9xy32p_Pmm6FtutfMteAf-HdhBy1z4c2cwzmD7cjeQX8E2utStrncvvWcVbw282n9Pve-fl98WV8Hq-vLLYr4KRBpnUVACifKEQkRElQiaFZQWPKNFXFVZjEvABDjQCvOsLCEvUsoRSgHzpMgqgvKMnHofR937vthAKVxxHW_Z_VgM01yyqUfJhtX6J4tSGlM6CLzdC3T6Rw_Gso00AtqWK9C9YRnJaUoxjRx59k8ySROS44Q48M1f4Fr3nXLHwCKMU5zED4kHI1TzFphUlXbpiRoUuCy1gko68zzCCBG3UseHR3j3lLCR4mjAu0mAYyxsbc1746q6XE3Z4BgrhsapgbkbW1xP-bMDvgHe2sbotrdSKzMF3x-ARW-kAuM2I-vGmjGXCZ6NuOi0MR1UjxeJERvGgq3Z0P1s6H42jAV7GAu2daGvDxvhT-B-DhzwYQR-uYPa_bcwu1re3bo_8ht0Xhi5</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Palaniappan, Latha P.</creator><creator>Wong, Eric C.</creator><creator>Shin, Jessica J.</creator><creator>Moreno, Maria R.</creator><creator>Otero‐Sabogal, Regina</creator><general>Blackwell Publishing Inc</general><general>Health Research and Educational Trust</general><general>Blackwell Publishing Ltd</general><general>Blackwell Science Inc</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>N95</scope><scope>XI7</scope><scope>8GL</scope><scope>7QJ</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>200910</creationdate><title>Collecting Patient Race/Ethnicity and Primary Language Data in Ambulatory Care Settings: A Case Study in Methodology</title><author>Palaniappan, Latha P. ; Wong, Eric C. ; Shin, Jessica J. ; Moreno, Maria R. ; Otero‐Sabogal, Regina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c7482-de32965e23cf6c58b55ba85b4ff841de13eae5f1a8dde9b75a007e1a6b8f30983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Ambulatory care</topic><topic>Ambulatory Care Facilities - statistics & numerical data</topic><topic>Ambulatory health care</topic><topic>Ambulatory medical care</topic><topic>Case studies</topic><topic>Clinics</topic><topic>Continental Population Groups - statistics & numerical data</topic><topic>Data collection</topic><topic>Data Collection - methods</topic><topic>Data entry</topic><topic>demography</topic><topic>Ethnic Groups - statistics & numerical data</topic><topic>Ethnicity</topic><topic>health care organizations and systems</topic><topic>Health Services Research</topic><topic>Humans</topic><topic>Interviews as Topic</topic><topic>Language</topic><topic>Medical care</topic><topic>Medical care quality</topic><topic>Medical research</topic><topic>Medical treatment</topic><topic>Medicine, Experimental</topic><topic>Methodology</topic><topic>Methods</topic><topic>Minority & ethnic groups</topic><topic>Organizational Case Studies</topic><topic>Patients - statistics & numerical data</topic><topic>Pilot Projects</topic><topic>Postal Service</topic><topic>Quality management</topic><topic>quality of care/patient safety (measurement)</topic><topic>Questionnaires</topic><topic>Racial/ethnic differences in health and health care</topic><topic>Research and Methods Briefs</topic><topic>Resource allocation</topic><topic>Response rate</topic><topic>Response rates</topic><topic>Studies</topic><topic>survey research and questionnaire design</topic><topic>Surveys and Questionnaires</topic><topic>Telephone</topic><topic>Testing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palaniappan, Latha P.</creatorcontrib><creatorcontrib>Wong, Eric C.</creatorcontrib><creatorcontrib>Shin, Jessica J.</creatorcontrib><creatorcontrib>Moreno, Maria R.</creatorcontrib><creatorcontrib>Otero‐Sabogal, Regina</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>Gale In Context: High School</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Health services research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Palaniappan, Latha P.</au><au>Wong, Eric C.</au><au>Shin, Jessica J.</au><au>Moreno, Maria R.</au><au>Otero‐Sabogal, Regina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Collecting Patient Race/Ethnicity and Primary Language Data in Ambulatory Care Settings: A Case Study in Methodology</atitle><jtitle>Health services research</jtitle><addtitle>Health Serv Res</addtitle><date>2009-10</date><risdate>2009</risdate><volume>44</volume><issue>5p1</issue><spage>1750</spage><epage>1761</epage><pages>1750-1761</pages><issn>0017-9124</issn><eissn>1475-6773</eissn><coden>HESEA5</coden><abstract>Objective. To collect patient race/ethnicity and language (r/e/l) in an ambulatory care setting.
Data Sources/Study Setting. The Palo Alto Medical Foundation (PAMF), December 2006–May 2008.
Study Design. Three pilot studies: (1) Comparing mail versus telephone versus clinic visit questionnaire distribution; (2) comparing the front desk method (FDM) versus exam room method (ERM) in the clinic visit; and (3) determining resource allocation necessary for data entry.
Data Collection/Extraction Methods. Studies were planned and executed by PAMF's Quality and Planning division.
Principal Findings. Collecting r/e/l data during clinic visits elicited the highest response rate. The FDM yielded higher response rate than the ERM. One full‐time equivalent is initially necessary for data entry.
Conclusions. Conducting sequential studies can help guide r/e/l collection in a short time frame.</abstract><cop>Malden, USA</cop><pub>Blackwell Publishing Inc</pub><pmid>19555396</pmid><doi>10.1111/j.1475-6773.2009.00992.x</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Wiley Online Library Journals Frontfile Complete; Applied Social Sciences Index & Abstracts (ASSIA); EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
subjects | Ambulatory care Ambulatory Care Facilities - statistics & numerical data Ambulatory health care Ambulatory medical care Case studies Clinics Continental Population Groups - statistics & numerical data Data collection Data Collection - methods Data entry demography Ethnic Groups - statistics & numerical data Ethnicity health care organizations and systems Health Services Research Humans Interviews as Topic Language Medical care Medical care quality Medical research Medical treatment Medicine, Experimental Methodology Methods Minority & ethnic groups Organizational Case Studies Patients - statistics & numerical data Pilot Projects Postal Service Quality management quality of care/patient safety (measurement) Questionnaires Racial/ethnic differences in health and health care Research and Methods Briefs Resource allocation Response rate Response rates Studies survey research and questionnaire design Surveys and Questionnaires Telephone Testing |
title | Collecting Patient Race/Ethnicity and Primary Language Data in Ambulatory Care Settings: A Case Study in Methodology |
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