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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Veröffentlicht in:Supportive care in cancer 2020-10, Vol.28 (10), p.4933-4942
Hauptverfasser: 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
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container_end_page 4942
container_issue 10
container_start_page 4933
container_title Supportive care in cancer
container_volume 28
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
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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 &amp; numerical data ; Female ; Health services utilization ; Hospitalization ; Hospitalization - statistics &amp; numerical data ; Humans ; Male ; Medical care ; Medical Oncology - methods ; Medical research ; Medicine ; Medicine &amp; 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 &amp; 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 &amp; numerical data</subject><subject>Female</subject><subject>Health services utilization</subject><subject>Hospitalization</subject><subject>Hospitalization - statistics &amp; 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 &amp; 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 &amp; 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 &amp; numerical data</topic><topic>Female</topic><topic>Health services utilization</topic><topic>Hospitalization</topic><topic>Hospitalization - statistics &amp; 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 &amp; 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 &amp; 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 &amp; 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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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1433-7339
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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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