Integration of patient-reported outcomes (PROs) for personalized symptom management in “real-world” oncology practices: a population-based cohort comparison study of impact on healthcare utilization
Background The use of patient-reported outcomes (PROs) for routine cancer distress screening is endorsed globally as a quality-care standard. However, there is little research on the integration of PROs in “real-world” oncology practices using implementation science methods. The Improving Patient Ex...
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creator | Howell, Doris Li, Madeline Sutradhar, Rinku Gu, Sumei Iqbal, Javaid O’Brien, Mary Ann Seow, Hsien Dudgeon, Deborah Atzema, Clare Earle, Craig C. DeAngelis, Carlo Sussman, Jonathan Barbera, Lisa |
description | Background
The use of patient-reported outcomes (PROs) for routine cancer distress screening is endorsed globally as a quality-care standard. However, there is little research on the integration of PROs in “real-world” oncology practices using implementation science methods. The Improving Patient Experience and Health Outcome Collaborative (iPEHOC) intervention was established at multisite disease clinics to facilitate the use of PRO data by clinicians for precision symptom care. The aim of this study was to examine if patients exposed to the intervention differed in their healthcare utilization compared with contemporaneous controls in the same time frame.
Methods
We used a PRE- and DURING-intervention population cohort comparison study design to estimate the effects of the iPEHOC intervention on the difference in difference (DID) for relative rates (RR) for emergency department (ED) visits, hospitalizations, psychosocial oncology (PSO), palliative care visits, and prescription rates for opioids and antidepressants compared with controls.
Results
A small significantly lower Difference in Difference (DID) (− 0.223) in the RR for ED visits was noted for the intervention compared with controls over time (0.947, CI 0.900–0.996); and a DID (− 0.0329) for patients meeting ESAS symptom thresholds (0.927, CI 0.869–0.990). A lower DID in palliative care visits (− 0.0097), psychosocial oncology visits (− 0.0248), antidepressant prescriptions (− 0.0260) and an increase in opioid prescriptions (0.0456) in the exposed population compared with controls was also noted. A similar pattern was shown for ESAS as a secondary exposure variable.
Conclusion
Facilitating uptake of PROs data may impact healthcare utilization but requires examination in larger scale “real-world” trials. |
doi_str_mv | 10.1007/s00520-020-05313-3 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2436973197</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A633569536</galeid><sourcerecordid>A633569536</sourcerecordid><originalsourceid>FETCH-LOGICAL-c442t-4a56405387ab77a0c281b0ac7b0629ad0ea7405fcabc199770719af6764b89b03</originalsourceid><addsrcrecordid>eNp9Ut1qFTEQXkSxx-oLeCEBb_Ria7LZ3Zz1rhR_CoWK6HWYzWbPSdn8mGSR41UfpH0hH6NP4mxPrQgiYZgw833f_DBF8ZzRI0apeJMobSpa0sUaznjJHxQrVnNeCs67h8WKdjUra940B8WTlC4oZUI01ePigFdI4o1YFT9PXdabCNl4R_xIAv60y2XUwcesB-LnrLzVibz69Pk8vSajjyTomLyDyfxAQNrZkL0lFhxstEUyMY7cXF5FDVP53cdpuLm8Jt4pP_nNjoQIKhul01sCJPgwT7fFyx4Sqim_xbrobIBosApJeR52S2sGQyqjENmict4qiJrM2WAbtwpPi0cjTEk_u_OHxdf3776cfCzPzj-cnhyflaquq1zW0LQ17mstoBcCqKrWrKegRE_bqoOBahCYHxX0inWdEFSwDsZWtHW_7nrKD4uXe90Q_bdZpywv_BxxHUlWNW87wRnaPWoDk5bGjT7j4NYkJY9bzpu2a3iLqKN_oPAN2hrlnR4Nxv8iVHuCij6lqEcZorEQd5JRuVyF3F-FpIstVyE5kl7cdTz3Vg_3lN9ngAC-ByRMuY2Of0b6j-wv7YnH1g</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2436973197</pqid></control><display><type>article</type><title>Integration of patient-reported outcomes (PROs) for personalized symptom management in “real-world” oncology practices: a population-based cohort comparison study of impact on healthcare utilization</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Howell, Doris ; Li, Madeline ; Sutradhar, Rinku ; Gu, Sumei ; Iqbal, Javaid ; O’Brien, Mary Ann ; Seow, Hsien ; Dudgeon, Deborah ; Atzema, Clare ; Earle, Craig C. ; DeAngelis, Carlo ; Sussman, Jonathan ; Barbera, Lisa</creator><creatorcontrib>Howell, Doris ; Li, Madeline ; Sutradhar, Rinku ; Gu, Sumei ; Iqbal, Javaid ; O’Brien, Mary Ann ; Seow, Hsien ; Dudgeon, Deborah ; Atzema, Clare ; Earle, Craig C. ; DeAngelis, Carlo ; Sussman, Jonathan ; Barbera, Lisa</creatorcontrib><description>Background
The use of patient-reported outcomes (PROs) for routine cancer distress screening is endorsed globally as a quality-care standard. However, there is little research on the integration of PROs in “real-world” oncology practices using implementation science methods. The Improving Patient Experience and Health Outcome Collaborative (iPEHOC) intervention was established at multisite disease clinics to facilitate the use of PRO data by clinicians for precision symptom care. The aim of this study was to examine if patients exposed to the intervention differed in their healthcare utilization compared with contemporaneous controls in the same time frame.
Methods
We used a PRE- and DURING-intervention population cohort comparison study design to estimate the effects of the iPEHOC intervention on the difference in difference (DID) for relative rates (RR) for emergency department (ED) visits, hospitalizations, psychosocial oncology (PSO), palliative care visits, and prescription rates for opioids and antidepressants compared with controls.
Results
A small significantly lower Difference in Difference (DID) (− 0.223) in the RR for ED visits was noted for the intervention compared with controls over time (0.947, CI 0.900–0.996); and a DID (− 0.0329) for patients meeting ESAS symptom thresholds (0.927, CI 0.869–0.990). A lower DID in palliative care visits (− 0.0097), psychosocial oncology visits (− 0.0248), antidepressant prescriptions (− 0.0260) and an increase in opioid prescriptions (0.0456) in the exposed population compared with controls was also noted. A similar pattern was shown for ESAS as a secondary exposure variable.
Conclusion
Facilitating uptake of PROs data may impact healthcare utilization but requires examination in larger scale “real-world” trials.</description><identifier>ISSN: 0941-4355</identifier><identifier>EISSN: 1433-7339</identifier><identifier>DOI: 10.1007/s00520-020-05313-3</identifier><identifier>PMID: 32020357</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aged ; Antidepressants ; Cancer ; Cohort Studies ; Comparative analysis ; Diagnosis ; Drugs ; Early Detection of Cancer ; Emergency medical care ; Emergency Service, Hospital - statistics & numerical data ; Female ; Health services utilization ; Hospitalization ; Hospitalization - statistics & numerical data ; Humans ; Male ; Medical care ; Medical Oncology - methods ; Medical research ; Medicine ; Medicine & Public Health ; Medicine, Experimental ; Mental health ; Mental health care ; Middle Aged ; Narcotics ; Neoplasms - diagnosis ; Neoplasms - epidemiology ; Neoplasms - therapy ; Nursing ; Nursing Research ; Oncology ; Ontario - epidemiology ; Opioids ; Original Article ; Pain management ; Pain Medicine ; Palliative care ; Palliative Care - methods ; Palliative treatment ; Patient Acceptance of Health Care - statistics & numerical data ; Patient Reported Outcome Measures ; Patient satisfaction ; Population-based studies ; Precision Medicine - methods ; Prescribing ; Prescriptions ; Quality of Health Care ; Rehabilitation Medicine ; Symptom management ; Targeted cancer therapy ; Utilization</subject><ispartof>Supportive care in cancer, 2020-10, Vol.28 (10), p.4933-4942</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-4a56405387ab77a0c281b0ac7b0629ad0ea7405fcabc199770719af6764b89b03</citedby><cites>FETCH-LOGICAL-c442t-4a56405387ab77a0c281b0ac7b0629ad0ea7405fcabc199770719af6764b89b03</cites><orcidid>0000-0002-8302-4117</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00520-020-05313-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00520-020-05313-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32020357$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Howell, Doris</creatorcontrib><creatorcontrib>Li, Madeline</creatorcontrib><creatorcontrib>Sutradhar, Rinku</creatorcontrib><creatorcontrib>Gu, Sumei</creatorcontrib><creatorcontrib>Iqbal, Javaid</creatorcontrib><creatorcontrib>O’Brien, Mary Ann</creatorcontrib><creatorcontrib>Seow, Hsien</creatorcontrib><creatorcontrib>Dudgeon, Deborah</creatorcontrib><creatorcontrib>Atzema, Clare</creatorcontrib><creatorcontrib>Earle, Craig C.</creatorcontrib><creatorcontrib>DeAngelis, Carlo</creatorcontrib><creatorcontrib>Sussman, Jonathan</creatorcontrib><creatorcontrib>Barbera, Lisa</creatorcontrib><title>Integration of patient-reported outcomes (PROs) for personalized symptom management in “real-world” oncology practices: a population-based cohort comparison study of impact on healthcare utilization</title><title>Supportive care in cancer</title><addtitle>Support Care Cancer</addtitle><addtitle>Support Care Cancer</addtitle><description>Background
The use of patient-reported outcomes (PROs) for routine cancer distress screening is endorsed globally as a quality-care standard. However, there is little research on the integration of PROs in “real-world” oncology practices using implementation science methods. The Improving Patient Experience and Health Outcome Collaborative (iPEHOC) intervention was established at multisite disease clinics to facilitate the use of PRO data by clinicians for precision symptom care. The aim of this study was to examine if patients exposed to the intervention differed in their healthcare utilization compared with contemporaneous controls in the same time frame.
Methods
We used a PRE- and DURING-intervention population cohort comparison study design to estimate the effects of the iPEHOC intervention on the difference in difference (DID) for relative rates (RR) for emergency department (ED) visits, hospitalizations, psychosocial oncology (PSO), palliative care visits, and prescription rates for opioids and antidepressants compared with controls.
Results
A small significantly lower Difference in Difference (DID) (− 0.223) in the RR for ED visits was noted for the intervention compared with controls over time (0.947, CI 0.900–0.996); and a DID (− 0.0329) for patients meeting ESAS symptom thresholds (0.927, CI 0.869–0.990). A lower DID in palliative care visits (− 0.0097), psychosocial oncology visits (− 0.0248), antidepressant prescriptions (− 0.0260) and an increase in opioid prescriptions (0.0456) in the exposed population compared with controls was also noted. A similar pattern was shown for ESAS as a secondary exposure variable.
Conclusion
Facilitating uptake of PROs data may impact healthcare utilization but requires examination in larger scale “real-world” trials.</description><subject>Aged</subject><subject>Antidepressants</subject><subject>Cancer</subject><subject>Cohort Studies</subject><subject>Comparative analysis</subject><subject>Diagnosis</subject><subject>Drugs</subject><subject>Early Detection of Cancer</subject><subject>Emergency medical care</subject><subject>Emergency Service, Hospital - statistics & numerical data</subject><subject>Female</subject><subject>Health services utilization</subject><subject>Hospitalization</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Humans</subject><subject>Male</subject><subject>Medical care</subject><subject>Medical Oncology - methods</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Medicine, Experimental</subject><subject>Mental health</subject><subject>Mental health care</subject><subject>Middle Aged</subject><subject>Narcotics</subject><subject>Neoplasms - diagnosis</subject><subject>Neoplasms - epidemiology</subject><subject>Neoplasms - therapy</subject><subject>Nursing</subject><subject>Nursing Research</subject><subject>Oncology</subject><subject>Ontario - epidemiology</subject><subject>Opioids</subject><subject>Original Article</subject><subject>Pain management</subject><subject>Pain Medicine</subject><subject>Palliative care</subject><subject>Palliative Care - methods</subject><subject>Palliative treatment</subject><subject>Patient Acceptance of Health Care - statistics & numerical data</subject><subject>Patient Reported Outcome Measures</subject><subject>Patient satisfaction</subject><subject>Population-based studies</subject><subject>Precision Medicine - methods</subject><subject>Prescribing</subject><subject>Prescriptions</subject><subject>Quality of Health Care</subject><subject>Rehabilitation Medicine</subject><subject>Symptom management</subject><subject>Targeted cancer therapy</subject><subject>Utilization</subject><issn>0941-4355</issn><issn>1433-7339</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9Ut1qFTEQXkSxx-oLeCEBb_Ria7LZ3Zz1rhR_CoWK6HWYzWbPSdn8mGSR41UfpH0hH6NP4mxPrQgiYZgw833f_DBF8ZzRI0apeJMobSpa0sUaznjJHxQrVnNeCs67h8WKdjUra940B8WTlC4oZUI01ePigFdI4o1YFT9PXdabCNl4R_xIAv60y2XUwcesB-LnrLzVibz69Pk8vSajjyTomLyDyfxAQNrZkL0lFhxstEUyMY7cXF5FDVP53cdpuLm8Jt4pP_nNjoQIKhul01sCJPgwT7fFyx4Sqim_xbrobIBosApJeR52S2sGQyqjENmict4qiJrM2WAbtwpPi0cjTEk_u_OHxdf3776cfCzPzj-cnhyflaquq1zW0LQ17mstoBcCqKrWrKegRE_bqoOBahCYHxX0inWdEFSwDsZWtHW_7nrKD4uXe90Q_bdZpywv_BxxHUlWNW87wRnaPWoDk5bGjT7j4NYkJY9bzpu2a3iLqKN_oPAN2hrlnR4Nxv8iVHuCij6lqEcZorEQd5JRuVyF3F-FpIstVyE5kl7cdTz3Vg_3lN9ngAC-ByRMuY2Of0b6j-wv7YnH1g</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Howell, Doris</creator><creator>Li, Madeline</creator><creator>Sutradhar, Rinku</creator><creator>Gu, Sumei</creator><creator>Iqbal, Javaid</creator><creator>O’Brien, Mary Ann</creator><creator>Seow, Hsien</creator><creator>Dudgeon, Deborah</creator><creator>Atzema, Clare</creator><creator>Earle, Craig C.</creator><creator>DeAngelis, Carlo</creator><creator>Sussman, Jonathan</creator><creator>Barbera, Lisa</creator><general>Springer Berlin Heidelberg</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>0-V</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88J</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HEHIP</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2R</scope><scope>M2S</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-8302-4117</orcidid></search><sort><creationdate>20201001</creationdate><title>Integration of patient-reported outcomes (PROs) for personalized symptom management in “real-world” oncology practices: a population-based cohort comparison study of impact on healthcare utilization</title><author>Howell, Doris ; Li, Madeline ; Sutradhar, Rinku ; Gu, Sumei ; Iqbal, Javaid ; O’Brien, Mary Ann ; Seow, Hsien ; Dudgeon, Deborah ; Atzema, Clare ; Earle, Craig C. ; DeAngelis, Carlo ; Sussman, Jonathan ; Barbera, Lisa</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-4a56405387ab77a0c281b0ac7b0629ad0ea7405fcabc199770719af6764b89b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Antidepressants</topic><topic>Cancer</topic><topic>Cohort Studies</topic><topic>Comparative analysis</topic><topic>Diagnosis</topic><topic>Drugs</topic><topic>Early Detection of Cancer</topic><topic>Emergency medical care</topic><topic>Emergency Service, Hospital - statistics & numerical data</topic><topic>Female</topic><topic>Health services utilization</topic><topic>Hospitalization</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Humans</topic><topic>Male</topic><topic>Medical care</topic><topic>Medical Oncology - methods</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Medicine, Experimental</topic><topic>Mental health</topic><topic>Mental health care</topic><topic>Middle Aged</topic><topic>Narcotics</topic><topic>Neoplasms - diagnosis</topic><topic>Neoplasms - epidemiology</topic><topic>Neoplasms - therapy</topic><topic>Nursing</topic><topic>Nursing Research</topic><topic>Oncology</topic><topic>Ontario - epidemiology</topic><topic>Opioids</topic><topic>Original Article</topic><topic>Pain management</topic><topic>Pain Medicine</topic><topic>Palliative care</topic><topic>Palliative Care - methods</topic><topic>Palliative treatment</topic><topic>Patient Acceptance of Health Care - statistics & numerical data</topic><topic>Patient Reported Outcome Measures</topic><topic>Patient satisfaction</topic><topic>Population-based studies</topic><topic>Precision Medicine - methods</topic><topic>Prescribing</topic><topic>Prescriptions</topic><topic>Quality of Health Care</topic><topic>Rehabilitation Medicine</topic><topic>Symptom management</topic><topic>Targeted cancer therapy</topic><topic>Utilization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Howell, Doris</creatorcontrib><creatorcontrib>Li, Madeline</creatorcontrib><creatorcontrib>Sutradhar, Rinku</creatorcontrib><creatorcontrib>Gu, Sumei</creatorcontrib><creatorcontrib>Iqbal, Javaid</creatorcontrib><creatorcontrib>O’Brien, Mary Ann</creatorcontrib><creatorcontrib>Seow, Hsien</creatorcontrib><creatorcontrib>Dudgeon, Deborah</creatorcontrib><creatorcontrib>Atzema, Clare</creatorcontrib><creatorcontrib>Earle, Craig C.</creatorcontrib><creatorcontrib>DeAngelis, Carlo</creatorcontrib><creatorcontrib>Sussman, Jonathan</creatorcontrib><creatorcontrib>Barbera, Lisa</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 Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Sociology Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Social Science Database</collection><collection>Sociology Database</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>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Supportive care in cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Howell, Doris</au><au>Li, Madeline</au><au>Sutradhar, Rinku</au><au>Gu, Sumei</au><au>Iqbal, Javaid</au><au>O’Brien, Mary Ann</au><au>Seow, Hsien</au><au>Dudgeon, Deborah</au><au>Atzema, Clare</au><au>Earle, Craig C.</au><au>DeAngelis, Carlo</au><au>Sussman, Jonathan</au><au>Barbera, Lisa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integration of patient-reported outcomes (PROs) for personalized symptom management in “real-world” oncology practices: a population-based cohort comparison study of impact on healthcare utilization</atitle><jtitle>Supportive care in cancer</jtitle><stitle>Support Care Cancer</stitle><addtitle>Support Care Cancer</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>28</volume><issue>10</issue><spage>4933</spage><epage>4942</epage><pages>4933-4942</pages><issn>0941-4355</issn><eissn>1433-7339</eissn><abstract>Background
The use of patient-reported outcomes (PROs) for routine cancer distress screening is endorsed globally as a quality-care standard. However, there is little research on the integration of PROs in “real-world” oncology practices using implementation science methods. The Improving Patient Experience and Health Outcome Collaborative (iPEHOC) intervention was established at multisite disease clinics to facilitate the use of PRO data by clinicians for precision symptom care. The aim of this study was to examine if patients exposed to the intervention differed in their healthcare utilization compared with contemporaneous controls in the same time frame.
Methods
We used a PRE- and DURING-intervention population cohort comparison study design to estimate the effects of the iPEHOC intervention on the difference in difference (DID) for relative rates (RR) for emergency department (ED) visits, hospitalizations, psychosocial oncology (PSO), palliative care visits, and prescription rates for opioids and antidepressants compared with controls.
Results
A small significantly lower Difference in Difference (DID) (− 0.223) in the RR for ED visits was noted for the intervention compared with controls over time (0.947, CI 0.900–0.996); and a DID (− 0.0329) for patients meeting ESAS symptom thresholds (0.927, CI 0.869–0.990). A lower DID in palliative care visits (− 0.0097), psychosocial oncology visits (− 0.0248), antidepressant prescriptions (− 0.0260) and an increase in opioid prescriptions (0.0456) in the exposed population compared with controls was also noted. A similar pattern was shown for ESAS as a secondary exposure variable.
Conclusion
Facilitating uptake of PROs data may impact healthcare utilization but requires examination in larger scale “real-world” trials.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>32020357</pmid><doi>10.1007/s00520-020-05313-3</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-8302-4117</orcidid></addata></record> |
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subjects | Aged Antidepressants Cancer Cohort Studies Comparative analysis Diagnosis Drugs Early Detection of Cancer Emergency medical care Emergency Service, Hospital - statistics & numerical data Female Health services utilization Hospitalization Hospitalization - statistics & numerical data Humans Male Medical care Medical Oncology - methods Medical research Medicine Medicine & Public Health Medicine, Experimental Mental health Mental health care Middle Aged Narcotics Neoplasms - diagnosis Neoplasms - epidemiology Neoplasms - therapy Nursing Nursing Research Oncology Ontario - epidemiology Opioids Original Article Pain management Pain Medicine Palliative care Palliative Care - methods Palliative treatment Patient Acceptance of Health Care - statistics & numerical data Patient Reported Outcome Measures Patient satisfaction Population-based studies Precision Medicine - methods Prescribing Prescriptions Quality of Health Care Rehabilitation Medicine Symptom management Targeted cancer therapy Utilization |
title | Integration of patient-reported outcomes (PROs) for personalized symptom management in “real-world” oncology practices: a population-based cohort comparison study of impact on healthcare utilization |
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