Using Confirmatory Factor Analysis to Evaluate Construct Validity of the Brief Pain Inventory (BPI)
Abstract Context The Brief Pain Inventory (BPI) is a frequently used instrument designed to assess the patient-reported outcome of pain. The majority of factor analytic studies have found a two-factor (i.e., pain intensity and pain interference) structure for this instrument; however, because the BP...
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creator | Atkinson, Thomas M., PhD Rosenfeld, Barry D., PhD Sit, Laura, BA Mendoza, Tito R., PhD Fruscione, Mike, MBA Lavene, Dawn, BS Shaw, Mary, BS Li, Yuelin, PhD Hay, Jennifer, PhD Cleeland, Charles S., PhD Scher, Howard I., MD Breitbart, William S., MD Basch, Ethan, MD, MSc |
description | Abstract Context The Brief Pain Inventory (BPI) is a frequently used instrument designed to assess the patient-reported outcome of pain. The majority of factor analytic studies have found a two-factor (i.e., pain intensity and pain interference) structure for this instrument; however, because the BPI was developed with an a priori hypothesis of the relationship among its items, it follows that construct validity investigations should use confirmatory factor analysis (CFA). Objectives The purpose of this work was to establish the construct validity of the BPI using a CFA framework and demonstrate factorial invariance using a range of demographic variables. Methods A retrospective CFA was completed in a sample of individuals diagnosed with HIV/AIDS and cancer ( n = 364; 63% male; age 21–92 years, M = 51.80). A baseline one-factor model was compared against two-factor and three-factor models (i.e., pain intensity, activity interference, and affective interference) that were developed based on the hypothetical design of the instrument. Results Fit indices for the three-factor model were statistically superior when compared with the one-factor model and marginally better when compared with the two-factor model. This three-factor structure was found to be invariant across disease, age, and ethnicity groups. Conclusion The results of this study provide evidence to support a three-factor representation of the BPI, and the originally hypothesized two-factor structure. Such findings will begin to provide clinical trialists, pharmaceutical sponsors, and regulators with confidence in the psychometric properties of this instrument when considering its inclusion in clinical research. |
doi_str_mv | 10.1016/j.jpainsymman.2010.05.008 |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3062715</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>1_s2_0_S0885392410006639</els_id><sourcerecordid>1010707504</sourcerecordid><originalsourceid>FETCH-LOGICAL-c600t-64b11a7d68821caba822d0fa32d637451bad51be73827deb7149dac396ea2a303</originalsourceid><addsrcrecordid>eNqNkkFvEzEQhVcIREPhLyBzQJRDwtjetZ1LpTZqIVIlKkG5WhOvt3XYtVN7N9L-exwSSuGAuHgk-_PzG78pijcUZhSo-LCerTfofBq7Dv2MQd6HagagnhQTqiSfioryp8UElKqmfM7Ko-JFSmsAqLjgz4sjRimnVIhJYW6S87dkEXzjYod9iCO5RJMrOfPYjskl0gdyscV2wN7uwNTHwfTkG7audv1IQkP6O0vOo7MNuc6-yNJvrf8pdXJ-vXz_snjWYJvsq0M9Lm4uL74uPk2vPn9cLs6upkYA9FNRrihFWQulGDW4QsVYDQ1yVgsuy4qusM6LlVwxWduVpOW8RsPnwiJDDvy4ON3rboZVZ2uTPURs9Sa6DuOoAzr954l3d_o2bDUHwSStssC7g0AM94NNve5cMrZt0dswJK0qxVQppcrkyT_JHBNIkBWUGZ3vURNDStE2D4Yo7Dih1_pRnHoXp4ZK5zjz3dePO3q4-Su_DLw9AJgMtk1Eb1z6zZUghOQyc4s9Z_P_b52NOhlnvbG1i9b0ug7uv-yc_qViWuddfvi7HW1ahyHmmcnd68Q06C-7-duNH82Tl83O-Q8wEtnu</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1010707504</pqid></control><display><type>article</type><title>Using Confirmatory Factor Analysis to Evaluate Construct Validity of the Brief Pain Inventory (BPI)</title><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Atkinson, Thomas M., PhD ; Rosenfeld, Barry D., PhD ; Sit, Laura, BA ; Mendoza, Tito R., PhD ; Fruscione, Mike, MBA ; Lavene, Dawn, BS ; Shaw, Mary, BS ; Li, Yuelin, PhD ; Hay, Jennifer, PhD ; Cleeland, Charles S., PhD ; Scher, Howard I., MD ; Breitbart, William S., MD ; Basch, Ethan, MD, MSc</creator><creatorcontrib>Atkinson, Thomas M., PhD ; Rosenfeld, Barry D., PhD ; Sit, Laura, BA ; Mendoza, Tito R., PhD ; Fruscione, Mike, MBA ; Lavene, Dawn, BS ; Shaw, Mary, BS ; Li, Yuelin, PhD ; Hay, Jennifer, PhD ; Cleeland, Charles S., PhD ; Scher, Howard I., MD ; Breitbart, William S., MD ; Basch, Ethan, MD, MSc</creatorcontrib><description>Abstract Context The Brief Pain Inventory (BPI) is a frequently used instrument designed to assess the patient-reported outcome of pain. The majority of factor analytic studies have found a two-factor (i.e., pain intensity and pain interference) structure for this instrument; however, because the BPI was developed with an a priori hypothesis of the relationship among its items, it follows that construct validity investigations should use confirmatory factor analysis (CFA). Objectives The purpose of this work was to establish the construct validity of the BPI using a CFA framework and demonstrate factorial invariance using a range of demographic variables. Methods A retrospective CFA was completed in a sample of individuals diagnosed with HIV/AIDS and cancer ( n = 364; 63% male; age 21–92 years, M = 51.80). A baseline one-factor model was compared against two-factor and three-factor models (i.e., pain intensity, activity interference, and affective interference) that were developed based on the hypothetical design of the instrument. Results Fit indices for the three-factor model were statistically superior when compared with the one-factor model and marginally better when compared with the two-factor model. This three-factor structure was found to be invariant across disease, age, and ethnicity groups. Conclusion The results of this study provide evidence to support a three-factor representation of the BPI, and the originally hypothesized two-factor structure. Such findings will begin to provide clinical trialists, pharmaceutical sponsors, and regulators with confidence in the psychometric properties of this instrument when considering its inclusion in clinical research.</description><identifier>ISSN: 0885-3924</identifier><identifier>EISSN: 1873-6513</identifier><identifier>DOI: 10.1016/j.jpainsymman.2010.05.008</identifier><identifier>PMID: 21131166</identifier><identifier>CODEN: JSPME2</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Adult ; affective symptoms ; Aged ; Aged, 80 and over ; Anesthesia & Perioperative Care ; Biological and medical sciences ; Confirmatory factor analysis ; Construct validity ; Drug industry ; Ethnic Groups ; Factor analysis ; Factor Analysis, Statistical ; Female ; HIV ; HIV Infections - complications ; HIV Infections - psychology ; Humans ; Interference ; Male ; Medical sciences ; Middle Aged ; Neoplasms - complications ; Neoplasms - psychology ; Pain ; Pain Measurement - methods ; Pain Measurement - psychology ; Pain Medicine ; Pharmacology. Drug treatments ; psychometrics ; Reproducibility of Results ; Retrospective Studies ; Young Adult</subject><ispartof>Journal of pain and symptom management, 2011-03, Vol.41 (3), p.558-565</ispartof><rights>U.S. Cancer Pain Relief Committee</rights><rights>2011 U.S. Cancer Pain Relief Committee</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2011 U.S. Cancer Pain Relief Committee. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c600t-64b11a7d68821caba822d0fa32d637451bad51be73827deb7149dac396ea2a303</citedby><cites>FETCH-LOGICAL-c600t-64b11a7d68821caba822d0fa32d637451bad51be73827deb7149dac396ea2a303</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0885392410006639$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,30977,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24066737$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21131166$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Atkinson, Thomas M., PhD</creatorcontrib><creatorcontrib>Rosenfeld, Barry D., PhD</creatorcontrib><creatorcontrib>Sit, Laura, BA</creatorcontrib><creatorcontrib>Mendoza, Tito R., PhD</creatorcontrib><creatorcontrib>Fruscione, Mike, MBA</creatorcontrib><creatorcontrib>Lavene, Dawn, BS</creatorcontrib><creatorcontrib>Shaw, Mary, BS</creatorcontrib><creatorcontrib>Li, Yuelin, PhD</creatorcontrib><creatorcontrib>Hay, Jennifer, PhD</creatorcontrib><creatorcontrib>Cleeland, Charles S., PhD</creatorcontrib><creatorcontrib>Scher, Howard I., MD</creatorcontrib><creatorcontrib>Breitbart, William S., MD</creatorcontrib><creatorcontrib>Basch, Ethan, MD, MSc</creatorcontrib><title>Using Confirmatory Factor Analysis to Evaluate Construct Validity of the Brief Pain Inventory (BPI)</title><title>Journal of pain and symptom management</title><addtitle>J Pain Symptom Manage</addtitle><description>Abstract Context The Brief Pain Inventory (BPI) is a frequently used instrument designed to assess the patient-reported outcome of pain. The majority of factor analytic studies have found a two-factor (i.e., pain intensity and pain interference) structure for this instrument; however, because the BPI was developed with an a priori hypothesis of the relationship among its items, it follows that construct validity investigations should use confirmatory factor analysis (CFA). Objectives The purpose of this work was to establish the construct validity of the BPI using a CFA framework and demonstrate factorial invariance using a range of demographic variables. Methods A retrospective CFA was completed in a sample of individuals diagnosed with HIV/AIDS and cancer ( n = 364; 63% male; age 21–92 years, M = 51.80). A baseline one-factor model was compared against two-factor and three-factor models (i.e., pain intensity, activity interference, and affective interference) that were developed based on the hypothetical design of the instrument. Results Fit indices for the three-factor model were statistically superior when compared with the one-factor model and marginally better when compared with the two-factor model. This three-factor structure was found to be invariant across disease, age, and ethnicity groups. Conclusion The results of this study provide evidence to support a three-factor representation of the BPI, and the originally hypothesized two-factor structure. Such findings will begin to provide clinical trialists, pharmaceutical sponsors, and regulators with confidence in the psychometric properties of this instrument when considering its inclusion in clinical research.</description><subject>Adult</subject><subject>affective symptoms</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Anesthesia & Perioperative Care</subject><subject>Biological and medical sciences</subject><subject>Confirmatory factor analysis</subject><subject>Construct validity</subject><subject>Drug industry</subject><subject>Ethnic Groups</subject><subject>Factor analysis</subject><subject>Factor Analysis, Statistical</subject><subject>Female</subject><subject>HIV</subject><subject>HIV Infections - complications</subject><subject>HIV Infections - psychology</subject><subject>Humans</subject><subject>Interference</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Neoplasms - complications</subject><subject>Neoplasms - psychology</subject><subject>Pain</subject><subject>Pain Measurement - methods</subject><subject>Pain Measurement - psychology</subject><subject>Pain Medicine</subject><subject>Pharmacology. Drug treatments</subject><subject>psychometrics</subject><subject>Reproducibility of Results</subject><subject>Retrospective Studies</subject><subject>Young Adult</subject><issn>0885-3924</issn><issn>1873-6513</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqNkkFvEzEQhVcIREPhLyBzQJRDwtjetZ1LpTZqIVIlKkG5WhOvt3XYtVN7N9L-exwSSuGAuHgk-_PzG78pijcUZhSo-LCerTfofBq7Dv2MQd6HagagnhQTqiSfioryp8UElKqmfM7Ko-JFSmsAqLjgz4sjRimnVIhJYW6S87dkEXzjYod9iCO5RJMrOfPYjskl0gdyscV2wN7uwNTHwfTkG7audv1IQkP6O0vOo7MNuc6-yNJvrf8pdXJ-vXz_snjWYJvsq0M9Lm4uL74uPk2vPn9cLs6upkYA9FNRrihFWQulGDW4QsVYDQ1yVgsuy4qusM6LlVwxWduVpOW8RsPnwiJDDvy4ON3rboZVZ2uTPURs9Sa6DuOoAzr954l3d_o2bDUHwSStssC7g0AM94NNve5cMrZt0dswJK0qxVQppcrkyT_JHBNIkBWUGZ3vURNDStE2D4Yo7Dih1_pRnHoXp4ZK5zjz3dePO3q4-Su_DLw9AJgMtk1Eb1z6zZUghOQyc4s9Z_P_b52NOhlnvbG1i9b0ug7uv-yc_qViWuddfvi7HW1ahyHmmcnd68Q06C-7-duNH82Tl83O-Q8wEtnu</recordid><startdate>20110301</startdate><enddate>20110301</enddate><creator>Atkinson, Thomas M., PhD</creator><creator>Rosenfeld, Barry D., PhD</creator><creator>Sit, Laura, BA</creator><creator>Mendoza, Tito R., PhD</creator><creator>Fruscione, Mike, MBA</creator><creator>Lavene, Dawn, BS</creator><creator>Shaw, Mary, BS</creator><creator>Li, Yuelin, PhD</creator><creator>Hay, Jennifer, PhD</creator><creator>Cleeland, Charles S., PhD</creator><creator>Scher, Howard I., MD</creator><creator>Breitbart, William S., MD</creator><creator>Basch, Ethan, MD, MSc</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><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>7QJ</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20110301</creationdate><title>Using Confirmatory Factor Analysis to Evaluate Construct Validity of the Brief Pain Inventory (BPI)</title><author>Atkinson, Thomas M., PhD ; Rosenfeld, Barry D., PhD ; Sit, Laura, BA ; Mendoza, Tito R., PhD ; Fruscione, Mike, MBA ; Lavene, Dawn, BS ; Shaw, Mary, BS ; Li, Yuelin, PhD ; Hay, Jennifer, PhD ; Cleeland, Charles S., PhD ; Scher, Howard I., MD ; Breitbart, William S., MD ; Basch, Ethan, MD, MSc</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c600t-64b11a7d68821caba822d0fa32d637451bad51be73827deb7149dac396ea2a303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult</topic><topic>affective symptoms</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Anesthesia & Perioperative Care</topic><topic>Biological and medical sciences</topic><topic>Confirmatory factor analysis</topic><topic>Construct validity</topic><topic>Drug industry</topic><topic>Ethnic Groups</topic><topic>Factor analysis</topic><topic>Factor Analysis, Statistical</topic><topic>Female</topic><topic>HIV</topic><topic>HIV Infections - complications</topic><topic>HIV Infections - psychology</topic><topic>Humans</topic><topic>Interference</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Neoplasms - complications</topic><topic>Neoplasms - psychology</topic><topic>Pain</topic><topic>Pain Measurement - methods</topic><topic>Pain Measurement - psychology</topic><topic>Pain Medicine</topic><topic>Pharmacology. Drug treatments</topic><topic>psychometrics</topic><topic>Reproducibility of Results</topic><topic>Retrospective Studies</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Atkinson, Thomas M., PhD</creatorcontrib><creatorcontrib>Rosenfeld, Barry D., PhD</creatorcontrib><creatorcontrib>Sit, Laura, BA</creatorcontrib><creatorcontrib>Mendoza, Tito R., PhD</creatorcontrib><creatorcontrib>Fruscione, Mike, MBA</creatorcontrib><creatorcontrib>Lavene, Dawn, BS</creatorcontrib><creatorcontrib>Shaw, Mary, BS</creatorcontrib><creatorcontrib>Li, Yuelin, PhD</creatorcontrib><creatorcontrib>Hay, Jennifer, PhD</creatorcontrib><creatorcontrib>Cleeland, Charles S., PhD</creatorcontrib><creatorcontrib>Scher, Howard I., MD</creatorcontrib><creatorcontrib>Breitbart, William S., MD</creatorcontrib><creatorcontrib>Basch, Ethan, MD, MSc</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of pain and symptom management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Atkinson, Thomas M., PhD</au><au>Rosenfeld, Barry D., PhD</au><au>Sit, Laura, BA</au><au>Mendoza, Tito R., PhD</au><au>Fruscione, Mike, MBA</au><au>Lavene, Dawn, BS</au><au>Shaw, Mary, BS</au><au>Li, Yuelin, PhD</au><au>Hay, Jennifer, PhD</au><au>Cleeland, Charles S., PhD</au><au>Scher, Howard I., MD</au><au>Breitbart, William S., MD</au><au>Basch, Ethan, MD, MSc</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Confirmatory Factor Analysis to Evaluate Construct Validity of the Brief Pain Inventory (BPI)</atitle><jtitle>Journal of pain and symptom management</jtitle><addtitle>J Pain Symptom Manage</addtitle><date>2011-03-01</date><risdate>2011</risdate><volume>41</volume><issue>3</issue><spage>558</spage><epage>565</epage><pages>558-565</pages><issn>0885-3924</issn><eissn>1873-6513</eissn><coden>JSPME2</coden><abstract>Abstract Context The Brief Pain Inventory (BPI) is a frequently used instrument designed to assess the patient-reported outcome of pain. The majority of factor analytic studies have found a two-factor (i.e., pain intensity and pain interference) structure for this instrument; however, because the BPI was developed with an a priori hypothesis of the relationship among its items, it follows that construct validity investigations should use confirmatory factor analysis (CFA). Objectives The purpose of this work was to establish the construct validity of the BPI using a CFA framework and demonstrate factorial invariance using a range of demographic variables. Methods A retrospective CFA was completed in a sample of individuals diagnosed with HIV/AIDS and cancer ( n = 364; 63% male; age 21–92 years, M = 51.80). A baseline one-factor model was compared against two-factor and three-factor models (i.e., pain intensity, activity interference, and affective interference) that were developed based on the hypothetical design of the instrument. Results Fit indices for the three-factor model were statistically superior when compared with the one-factor model and marginally better when compared with the two-factor model. This three-factor structure was found to be invariant across disease, age, and ethnicity groups. Conclusion The results of this study provide evidence to support a three-factor representation of the BPI, and the originally hypothesized two-factor structure. Such findings will begin to provide clinical trialists, pharmaceutical sponsors, and regulators with confidence in the psychometric properties of this instrument when considering its inclusion in clinical research.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><pmid>21131166</pmid><doi>10.1016/j.jpainsymman.2010.05.008</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult affective symptoms Aged Aged, 80 and over Anesthesia & Perioperative Care Biological and medical sciences Confirmatory factor analysis Construct validity Drug industry Ethnic Groups Factor analysis Factor Analysis, Statistical Female HIV HIV Infections - complications HIV Infections - psychology Humans Interference Male Medical sciences Middle Aged Neoplasms - complications Neoplasms - psychology Pain Pain Measurement - methods Pain Measurement - psychology Pain Medicine Pharmacology. Drug treatments psychometrics Reproducibility of Results Retrospective Studies Young Adult |
title | Using Confirmatory Factor Analysis to Evaluate Construct Validity of the Brief Pain Inventory (BPI) |
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