Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals
Aim To evaluate a web-based tool for estimating and explaining three scenarios for expected survival time to people with advanced cancer (patients), their family members (FMs), and other healthcare professionals (HCPs). Methods Thirty-three oncologists estimated the “median survival of a group of si...
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Veröffentlicht in: | Supportive care in cancer 2022-09, Vol.30 (9), p.7763-7772 |
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creator | Nahm, Sharon H. Stockler, Martin R. Martin, Andrew J. Grimison, Peter Fox, Peter Zielinski, Rob Hawson, Geoffrey AT Tattersall, Martin HN Kiely, Belinda E. |
description | Aim
To evaluate a web-based tool for estimating and explaining three scenarios for expected survival time to people with advanced cancer (patients), their family members (FMs), and other healthcare professionals (HCPs).
Methods
Thirty-three oncologists estimated the “median survival of a group of similar patients” for patients seeking quantitative prognostic information. The web-based tool generated worst-case, most likely, and best-case scenarios for survival based on the oncologist’s estimate. Oncologists presented the scenarios to each patient and provided a printed summary to patients, FMs, and HCPs. Attitudes to the information were assessed by questionnaires. Observed survival for each patient was compared with the oncologist’s estimated survival and the three scenarios.
Results
Prognosis was discussed with 222 patients: median age 67 years; 61% male; most common primary sites pancreas 15%, non-small-cell lung 15%, and colorectal 12%. The median (range) for observed survival times was 9 months (0.5–43) and for oncologist’s estimated survival times was 12 months (2–96). Ninety-one percent of patients, 91% of FMs, and 84% of HCPs agreed that it was helpful having life expectancy explained as three scenarios. The majority (77%) of patients judged the information presented about their life expectancy to be the same or better than they had expected before the consultation. The survival estimates met a priori criteria for calibration, precision, and accuracy.
Conclusions
Patients, FMs, and HCPs found it helpful to receive personalized prognostic information formatted as three scenarios for survival. It was feasible, acceptable, and safe to use a web-based resource to do this. |
doi_str_mv | 10.1007/s00520-022-07167-3 |
format | Article |
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To evaluate a web-based tool for estimating and explaining three scenarios for expected survival time to people with advanced cancer (patients), their family members (FMs), and other healthcare professionals (HCPs).
Methods
Thirty-three oncologists estimated the “median survival of a group of similar patients” for patients seeking quantitative prognostic information. The web-based tool generated worst-case, most likely, and best-case scenarios for survival based on the oncologist’s estimate. Oncologists presented the scenarios to each patient and provided a printed summary to patients, FMs, and HCPs. Attitudes to the information were assessed by questionnaires. Observed survival for each patient was compared with the oncologist’s estimated survival and the three scenarios.
Results
Prognosis was discussed with 222 patients: median age 67 years; 61% male; most common primary sites pancreas 15%, non-small-cell lung 15%, and colorectal 12%. The median (range) for observed survival times was 9 months (0.5–43) and for oncologist’s estimated survival times was 12 months (2–96). Ninety-one percent of patients, 91% of FMs, and 84% of HCPs agreed that it was helpful having life expectancy explained as three scenarios. The majority (77%) of patients judged the information presented about their life expectancy to be the same or better than they had expected before the consultation. The survival estimates met a priori criteria for calibration, precision, and accuracy.
Conclusions
Patients, FMs, and HCPs found it helpful to receive personalized prognostic information formatted as three scenarios for survival. It was feasible, acceptable, and safe to use a web-based resource to do this.</description><identifier>ISSN: 0941-4355</identifier><identifier>EISSN: 1433-7339</identifier><identifier>DOI: 10.1007/s00520-022-07167-3</identifier><identifier>PMID: 35701634</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aged ; Cancer ; Cancer patients ; Carcinoma, Non-Small-Cell Lung ; Communication ; Comparative analysis ; Delivery of Health Care ; Families & family life ; Family ; Female ; Health aspects ; Humans ; Life Expectancy ; Lung cancer, Non-small cell ; Lung Neoplasms ; Male ; Medical personnel ; Medical prognosis ; Medicine ; Medicine & Public Health ; Neoplasms - therapy ; Nursing ; Nursing Research ; Oncology ; Original ; Original Article ; Pain Medicine ; Palliative care ; Patient care planning ; Patients ; Physician patient relationships ; Prognosis ; Rehabilitation Medicine ; Surveys</subject><ispartof>Supportive care in cancer, 2022-09, Vol.30 (9), p.7763-7772</ispartof><rights>The Author(s) 2022. corrected publication 2024</rights><rights>2022. The Author(s).</rights><rights>COPYRIGHT 2022 Springer</rights><rights>The Author(s) 2022. corrected publication 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c541t-a36835f72d47a2fb9347c643ed5b76e65a3297a5ecf6fa87659213dc2f36a44d3</citedby><cites>FETCH-LOGICAL-c541t-a36835f72d47a2fb9347c643ed5b76e65a3297a5ecf6fa87659213dc2f36a44d3</cites><orcidid>0000-0002-1662-3523</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/s00520-022-07167-3$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00520-022-07167-3$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35701634$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nahm, Sharon H.</creatorcontrib><creatorcontrib>Stockler, Martin R.</creatorcontrib><creatorcontrib>Martin, Andrew J.</creatorcontrib><creatorcontrib>Grimison, Peter</creatorcontrib><creatorcontrib>Fox, Peter</creatorcontrib><creatorcontrib>Zielinski, Rob</creatorcontrib><creatorcontrib>Hawson, Geoffrey AT</creatorcontrib><creatorcontrib>Tattersall, Martin HN</creatorcontrib><creatorcontrib>Kiely, Belinda E.</creatorcontrib><title>Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals</title><title>Supportive care in cancer</title><addtitle>Support Care Cancer</addtitle><addtitle>Support Care Cancer</addtitle><description>Aim
To evaluate a web-based tool for estimating and explaining three scenarios for expected survival time to people with advanced cancer (patients), their family members (FMs), and other healthcare professionals (HCPs).
Methods
Thirty-three oncologists estimated the “median survival of a group of similar patients” for patients seeking quantitative prognostic information. The web-based tool generated worst-case, most likely, and best-case scenarios for survival based on the oncologist’s estimate. Oncologists presented the scenarios to each patient and provided a printed summary to patients, FMs, and HCPs. Attitudes to the information were assessed by questionnaires. Observed survival for each patient was compared with the oncologist’s estimated survival and the three scenarios.
Results
Prognosis was discussed with 222 patients: median age 67 years; 61% male; most common primary sites pancreas 15%, non-small-cell lung 15%, and colorectal 12%. The median (range) for observed survival times was 9 months (0.5–43) and for oncologist’s estimated survival times was 12 months (2–96). Ninety-one percent of patients, 91% of FMs, and 84% of HCPs agreed that it was helpful having life expectancy explained as three scenarios. The majority (77%) of patients judged the information presented about their life expectancy to be the same or better than they had expected before the consultation. The survival estimates met a priori criteria for calibration, precision, and accuracy.
Conclusions
Patients, FMs, and HCPs found it helpful to receive personalized prognostic information formatted as three scenarios for survival. It was feasible, acceptable, and safe to use a web-based resource to do this.</description><subject>Aged</subject><subject>Cancer</subject><subject>Cancer patients</subject><subject>Carcinoma, Non-Small-Cell Lung</subject><subject>Communication</subject><subject>Comparative analysis</subject><subject>Delivery of Health Care</subject><subject>Families & family life</subject><subject>Family</subject><subject>Female</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Life Expectancy</subject><subject>Lung cancer, Non-small cell</subject><subject>Lung Neoplasms</subject><subject>Male</subject><subject>Medical personnel</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neoplasms - therapy</subject><subject>Nursing</subject><subject>Nursing Research</subject><subject>Oncology</subject><subject>Original</subject><subject>Original Article</subject><subject>Pain Medicine</subject><subject>Palliative care</subject><subject>Patient care planning</subject><subject>Patients</subject><subject>Physician patient relationships</subject><subject>Prognosis</subject><subject>Rehabilitation Medicine</subject><subject>Surveys</subject><issn>0941-4355</issn><issn>1433-7339</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9UstuFDEQHCEQWQI_wAFZ4sKBCX57hkOkKOIlReJCzpbX0951NGMvtidif4JvxpMNCUEI-dDudlVZ1aqmeUnwCcFYvcsYC4pbTGmLFZGqZY-aFeGMtYqx_nGzwj0nLWdCHDXPcr7CmCgl6NPmiAmFiWR81fy8zD5sUNkmAJQtBJN8zKhEBD92o_EBjd7B0oAtJtg9qiMzXNcrDMguJb1HphRf5gEyig7tTPEQSn6LnJn8uEcTTGtItTdhQLFsIaEtmLFsrUmAdik6yNnHYMb8vHniaoEXt_W4ufz44dv55_bi66cv52cXrRWclNYw2THhFB24MtSte8aVlZzBINZKghSG0V4ZAdZJZzolRU8JGyx1TBrOB3bcnB50d_N6gqH6LsmMepf8ZNJeR-P1w5fgt3oTr3XPOtFRWQXe3Aqk-H2GXPTk6_rG0QSIc9ZUKtlThm-gr_-CXsU5LW41VZiRjmLa3aM2ZgTtg4v1X7uI6jNFOJVUdYvWyT9Q9QwweRsDOF_nDwj0QLAp5pzA3XkkWC8p0ocU6ZoifZMizSrp1Z_buaP8jk0FsAMg16ewgXRv6T-yvwDatNQJ</recordid><startdate>20220901</startdate><enddate>20220901</enddate><creator>Nahm, Sharon H.</creator><creator>Stockler, Martin R.</creator><creator>Martin, Andrew J.</creator><creator>Grimison, Peter</creator><creator>Fox, Peter</creator><creator>Zielinski, Rob</creator><creator>Hawson, Geoffrey AT</creator><creator>Tattersall, Martin HN</creator><creator>Kiely, Belinda E.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</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>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><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-1662-3523</orcidid></search><sort><creationdate>20220901</creationdate><title>Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals</title><author>Nahm, Sharon H. ; Stockler, Martin R. ; Martin, Andrew J. ; Grimison, Peter ; Fox, Peter ; Zielinski, Rob ; Hawson, Geoffrey AT ; Tattersall, Martin HN ; Kiely, Belinda E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-a36835f72d47a2fb9347c643ed5b76e65a3297a5ecf6fa87659213dc2f36a44d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aged</topic><topic>Cancer</topic><topic>Cancer patients</topic><topic>Carcinoma, Non-Small-Cell Lung</topic><topic>Communication</topic><topic>Comparative analysis</topic><topic>Delivery of Health Care</topic><topic>Families & family life</topic><topic>Family</topic><topic>Female</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Life Expectancy</topic><topic>Lung cancer, Non-small cell</topic><topic>Lung Neoplasms</topic><topic>Male</topic><topic>Medical personnel</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neoplasms - therapy</topic><topic>Nursing</topic><topic>Nursing Research</topic><topic>Oncology</topic><topic>Original</topic><topic>Original Article</topic><topic>Pain Medicine</topic><topic>Palliative care</topic><topic>Patient care planning</topic><topic>Patients</topic><topic>Physician patient relationships</topic><topic>Prognosis</topic><topic>Rehabilitation Medicine</topic><topic>Surveys</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nahm, Sharon H.</creatorcontrib><creatorcontrib>Stockler, Martin R.</creatorcontrib><creatorcontrib>Martin, Andrew J.</creatorcontrib><creatorcontrib>Grimison, Peter</creatorcontrib><creatorcontrib>Fox, Peter</creatorcontrib><creatorcontrib>Zielinski, Rob</creatorcontrib><creatorcontrib>Hawson, Geoffrey AT</creatorcontrib><creatorcontrib>Tattersall, Martin HN</creatorcontrib><creatorcontrib>Kiely, Belinda E.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><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><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Supportive care in cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nahm, Sharon H.</au><au>Stockler, Martin R.</au><au>Martin, Andrew J.</au><au>Grimison, Peter</au><au>Fox, Peter</au><au>Zielinski, Rob</au><au>Hawson, Geoffrey AT</au><au>Tattersall, Martin HN</au><au>Kiely, Belinda E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals</atitle><jtitle>Supportive care in cancer</jtitle><stitle>Support Care Cancer</stitle><addtitle>Support Care Cancer</addtitle><date>2022-09-01</date><risdate>2022</risdate><volume>30</volume><issue>9</issue><spage>7763</spage><epage>7772</epage><pages>7763-7772</pages><issn>0941-4355</issn><eissn>1433-7339</eissn><abstract>Aim
To evaluate a web-based tool for estimating and explaining three scenarios for expected survival time to people with advanced cancer (patients), their family members (FMs), and other healthcare professionals (HCPs).
Methods
Thirty-three oncologists estimated the “median survival of a group of similar patients” for patients seeking quantitative prognostic information. The web-based tool generated worst-case, most likely, and best-case scenarios for survival based on the oncologist’s estimate. Oncologists presented the scenarios to each patient and provided a printed summary to patients, FMs, and HCPs. Attitudes to the information were assessed by questionnaires. Observed survival for each patient was compared with the oncologist’s estimated survival and the three scenarios.
Results
Prognosis was discussed with 222 patients: median age 67 years; 61% male; most common primary sites pancreas 15%, non-small-cell lung 15%, and colorectal 12%. The median (range) for observed survival times was 9 months (0.5–43) and for oncologist’s estimated survival times was 12 months (2–96). Ninety-one percent of patients, 91% of FMs, and 84% of HCPs agreed that it was helpful having life expectancy explained as three scenarios. The majority (77%) of patients judged the information presented about their life expectancy to be the same or better than they had expected before the consultation. The survival estimates met a priori criteria for calibration, precision, and accuracy.
Conclusions
Patients, FMs, and HCPs found it helpful to receive personalized prognostic information formatted as three scenarios for survival. It was feasible, acceptable, and safe to use a web-based resource to do this.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35701634</pmid><doi>10.1007/s00520-022-07167-3</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1662-3523</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Cancer Cancer patients Carcinoma, Non-Small-Cell Lung Communication Comparative analysis Delivery of Health Care Families & family life Family Female Health aspects Humans Life Expectancy Lung cancer, Non-small cell Lung Neoplasms Male Medical personnel Medical prognosis Medicine Medicine & Public Health Neoplasms - therapy Nursing Nursing Research Oncology Original Original Article Pain Medicine Palliative care Patient care planning Patients Physician patient relationships Prognosis Rehabilitation Medicine Surveys |
title | Using three scenarios to explain life expectancy in advanced cancer: attitudes of patients, family members, and other healthcare professionals |
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