Healthcare utilization in cancer survivors: six-month longitudinal cohort data

Purpose To describe healthcare utilization and reasons for delaying medical care and to identify factors that influence high healthcare utilization and care delay among cancer survivors. Methods Baseline ( n  = 991) and 6 month follow-up data ( n  = 777) were collected among breast, prostate, and co...

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Veröffentlicht in:Cancer causes & control 2022-07, Vol.33 (7), p.1005-1012
Hauptverfasser: Gonzalez, Nicole, Mead, K. Holly, Pratt-Chapman, Mandi L., Arem, Hannah
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container_end_page 1012
container_issue 7
container_start_page 1005
container_title Cancer causes & control
container_volume 33
creator Gonzalez, Nicole
Mead, K. Holly
Pratt-Chapman, Mandi L.
Arem, Hannah
description Purpose To describe healthcare utilization and reasons for delaying medical care and to identify factors that influence high healthcare utilization and care delay among cancer survivors. Methods Baseline ( n  = 991) and 6 month follow-up data ( n  = 777) were collected among breast, prostate, and colorectal cancer survivors from 32 US cancer centers. Participants completed surveys on healthcare utilization (e.g., number of visits to specific providers) and delay of medical care. We categorized participants as high or low users based on median number of visits. We used logistic regression models to examine factors that predicted high healthcare utilization or delay. Results Survivors reported a median of 10.5 visits to healthcare providers and 28% reported ever delaying medical care over 6 months. Compared to prostate cancer survivors, breast and colorectal survivors were 2.4 times more likely (CI = 1.2–4.8) and 4 times more likely (CI = 2.2–7.3) to be high healthcare users, respectively. A higher quality of life score predicted high healthcare utilization (OR = 2.4, CI = 2.0–2.8) and delay of medical care (OR = 1.8, CI = 1.5–2.2). Black survivors were 1.5 times more likely than White survivors to be high healthcare users (CI = 1.1–2.0) and respondents reporting a race category other than White or Black were 1.8 times more likely to delay care (CI = 1.3–2.5). Lower levels of self-efficacy predicted greater healthcare use (OR = 0.7, CI = 0.6–0.8) and delay (OR = 0.6, CI = 0.5–0.7). Conclusion Our findings suggest that race, education, marital status, cancer type, time since diagnosis, quality of life, and self-efficacy are associated with both high healthcare utilization and delay among cancer survivors.
doi_str_mv 10.1007/s10552-022-01587-6
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Holly ; Pratt-Chapman, Mandi L. ; Arem, Hannah</creator><creatorcontrib>Gonzalez, Nicole ; Mead, K. Holly ; Pratt-Chapman, Mandi L. ; Arem, Hannah</creatorcontrib><description>Purpose To describe healthcare utilization and reasons for delaying medical care and to identify factors that influence high healthcare utilization and care delay among cancer survivors. Methods Baseline ( n  = 991) and 6 month follow-up data ( n  = 777) were collected among breast, prostate, and colorectal cancer survivors from 32 US cancer centers. Participants completed surveys on healthcare utilization (e.g., number of visits to specific providers) and delay of medical care. We categorized participants as high or low users based on median number of visits. We used logistic regression models to examine factors that predicted high healthcare utilization or delay. Results Survivors reported a median of 10.5 visits to healthcare providers and 28% reported ever delaying medical care over 6 months. Compared to prostate cancer survivors, breast and colorectal survivors were 2.4 times more likely (CI = 1.2–4.8) and 4 times more likely (CI = 2.2–7.3) to be high healthcare users, respectively. A higher quality of life score predicted high healthcare utilization (OR = 2.4, CI = 2.0–2.8) and delay of medical care (OR = 1.8, CI = 1.5–2.2). Black survivors were 1.5 times more likely than White survivors to be high healthcare users (CI = 1.1–2.0) and respondents reporting a race category other than White or Black were 1.8 times more likely to delay care (CI = 1.3–2.5). Lower levels of self-efficacy predicted greater healthcare use (OR = 0.7, CI = 0.6–0.8) and delay (OR = 0.6, CI = 0.5–0.7). Conclusion Our findings suggest that race, education, marital status, cancer type, time since diagnosis, quality of life, and self-efficacy are associated with both high healthcare utilization and delay among cancer survivors.</description><identifier>ISSN: 0957-5243</identifier><identifier>EISSN: 1573-7225</identifier><identifier>DOI: 10.1007/s10552-022-01587-6</identifier><identifier>PMID: 35576025</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Biomedical and Life Sciences ; Biomedicine ; Breast cancer ; Cancer ; Cancer Research ; Cancer Survivors ; Colorectal carcinoma ; Delay ; Epidemiology ; Health care ; Health services ; Health services utilization ; Hematology ; Humans ; Male ; Neoplasms - epidemiology ; Neoplasms - therapy ; Oncology ; Original Paper ; Patient Acceptance of Health Care ; Pharmacists ; Prostate ; Prostate cancer ; Public Health ; Quality of Life ; Regression analysis ; Surveys and Questionnaires ; Survival ; Survivor ; Survivors ; Utilization</subject><ispartof>Cancer causes &amp; control, 2022-07, Vol.33 (7), p.1005-1012</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-d92aac8f4d9e6da6d541e6427acaefaca6b14afec8ba02e1dda1f0e7bb699fc93</citedby><cites>FETCH-LOGICAL-c375t-d92aac8f4d9e6da6d541e6427acaefaca6b14afec8ba02e1dda1f0e7bb699fc93</cites><orcidid>0000-0002-5734-0810</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/s10552-022-01587-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10552-022-01587-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35576025$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gonzalez, Nicole</creatorcontrib><creatorcontrib>Mead, K. Holly</creatorcontrib><creatorcontrib>Pratt-Chapman, Mandi L.</creatorcontrib><creatorcontrib>Arem, Hannah</creatorcontrib><title>Healthcare utilization in cancer survivors: six-month longitudinal cohort data</title><title>Cancer causes &amp; control</title><addtitle>Cancer Causes Control</addtitle><addtitle>Cancer Causes Control</addtitle><description>Purpose To describe healthcare utilization and reasons for delaying medical care and to identify factors that influence high healthcare utilization and care delay among cancer survivors. Methods Baseline ( n  = 991) and 6 month follow-up data ( n  = 777) were collected among breast, prostate, and colorectal cancer survivors from 32 US cancer centers. Participants completed surveys on healthcare utilization (e.g., number of visits to specific providers) and delay of medical care. We categorized participants as high or low users based on median number of visits. We used logistic regression models to examine factors that predicted high healthcare utilization or delay. Results Survivors reported a median of 10.5 visits to healthcare providers and 28% reported ever delaying medical care over 6 months. Compared to prostate cancer survivors, breast and colorectal survivors were 2.4 times more likely (CI = 1.2–4.8) and 4 times more likely (CI = 2.2–7.3) to be high healthcare users, respectively. A higher quality of life score predicted high healthcare utilization (OR = 2.4, CI = 2.0–2.8) and delay of medical care (OR = 1.8, CI = 1.5–2.2). Black survivors were 1.5 times more likely than White survivors to be high healthcare users (CI = 1.1–2.0) and respondents reporting a race category other than White or Black were 1.8 times more likely to delay care (CI = 1.3–2.5). Lower levels of self-efficacy predicted greater healthcare use (OR = 0.7, CI = 0.6–0.8) and delay (OR = 0.6, CI = 0.5–0.7). Conclusion Our findings suggest that race, education, marital status, cancer type, time since diagnosis, quality of life, and self-efficacy are associated with both high healthcare utilization and delay among cancer survivors.</description><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Cancer Research</subject><subject>Cancer Survivors</subject><subject>Colorectal carcinoma</subject><subject>Delay</subject><subject>Epidemiology</subject><subject>Health care</subject><subject>Health services</subject><subject>Health services utilization</subject><subject>Hematology</subject><subject>Humans</subject><subject>Male</subject><subject>Neoplasms - epidemiology</subject><subject>Neoplasms - therapy</subject><subject>Oncology</subject><subject>Original Paper</subject><subject>Patient Acceptance of Health Care</subject><subject>Pharmacists</subject><subject>Prostate</subject><subject>Prostate cancer</subject><subject>Public Health</subject><subject>Quality of Life</subject><subject>Regression analysis</subject><subject>Surveys and Questionnaires</subject><subject>Survival</subject><subject>Survivor</subject><subject>Survivors</subject><subject>Utilization</subject><issn>0957-5243</issn><issn>1573-7225</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kEFPwyAYhonR6Jz-AQ-miRcvVaAFVm9mUWey6EXP5CvQjaUrCnRRf73MTU08eAAOPO_7fXkQOiH4gmAsLgPBjNEc03QIG4mc76ABYaLIBaVsFw1wxUTOaFkcoMMQFhhjxineRwcFY4JjygboYWKgjXMF3mR9tK39gGhdl9kuU9Ap47PQ-5VdOR-usmDf8qXr4jxrXTezsde2gzZTbu58zDREOEJ7DbTBHG_fIXq-vXkaT_Lp4939-Hqaq0KwmOuKAqhRU-rKcA1cs5IYXlIBCkyTLl6TEhqjRjVgaojWQBpsRF3zqmpUVQzR-ab3xbvX3oQolzYo07bQGdcHSTlnBFeE4oSe_UEXrvdp7zUlGBUlrcpE0Q2lvAvBm0a-eLsE_y4JlmvbcmNbJtvyy7bkKXS6re7rpdE_kW-9CSg2QEhf3cz439n_1H4CA6yMZA</recordid><startdate>20220701</startdate><enddate>20220701</enddate><creator>Gonzalez, Nicole</creator><creator>Mead, K. 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Holly</creatorcontrib><creatorcontrib>Pratt-Chapman, Mandi L.</creatorcontrib><creatorcontrib>Arem, Hannah</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 Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</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>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing &amp; 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>MEDLINE - Academic</collection><jtitle>Cancer causes &amp; control</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gonzalez, Nicole</au><au>Mead, K. Holly</au><au>Pratt-Chapman, Mandi L.</au><au>Arem, Hannah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Healthcare utilization in cancer survivors: six-month longitudinal cohort data</atitle><jtitle>Cancer causes &amp; control</jtitle><stitle>Cancer Causes Control</stitle><addtitle>Cancer Causes Control</addtitle><date>2022-07-01</date><risdate>2022</risdate><volume>33</volume><issue>7</issue><spage>1005</spage><epage>1012</epage><pages>1005-1012</pages><issn>0957-5243</issn><eissn>1573-7225</eissn><abstract>Purpose To describe healthcare utilization and reasons for delaying medical care and to identify factors that influence high healthcare utilization and care delay among cancer survivors. Methods Baseline ( n  = 991) and 6 month follow-up data ( n  = 777) were collected among breast, prostate, and colorectal cancer survivors from 32 US cancer centers. Participants completed surveys on healthcare utilization (e.g., number of visits to specific providers) and delay of medical care. We categorized participants as high or low users based on median number of visits. We used logistic regression models to examine factors that predicted high healthcare utilization or delay. Results Survivors reported a median of 10.5 visits to healthcare providers and 28% reported ever delaying medical care over 6 months. Compared to prostate cancer survivors, breast and colorectal survivors were 2.4 times more likely (CI = 1.2–4.8) and 4 times more likely (CI = 2.2–7.3) to be high healthcare users, respectively. A higher quality of life score predicted high healthcare utilization (OR = 2.4, CI = 2.0–2.8) and delay of medical care (OR = 1.8, CI = 1.5–2.2). Black survivors were 1.5 times more likely than White survivors to be high healthcare users (CI = 1.1–2.0) and respondents reporting a race category other than White or Black were 1.8 times more likely to delay care (CI = 1.3–2.5). Lower levels of self-efficacy predicted greater healthcare use (OR = 0.7, CI = 0.6–0.8) and delay (OR = 0.6, CI = 0.5–0.7). Conclusion Our findings suggest that race, education, marital status, cancer type, time since diagnosis, quality of life, and self-efficacy are associated with both high healthcare utilization and delay among cancer survivors.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35576025</pmid><doi>10.1007/s10552-022-01587-6</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-5734-0810</orcidid></addata></record>
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source MEDLINE; SpringerNature Journals
subjects Biomedical and Life Sciences
Biomedicine
Breast cancer
Cancer
Cancer Research
Cancer Survivors
Colorectal carcinoma
Delay
Epidemiology
Health care
Health services
Health services utilization
Hematology
Humans
Male
Neoplasms - epidemiology
Neoplasms - therapy
Oncology
Original Paper
Patient Acceptance of Health Care
Pharmacists
Prostate
Prostate cancer
Public Health
Quality of Life
Regression analysis
Surveys and Questionnaires
Survival
Survivor
Survivors
Utilization
title Healthcare utilization in cancer survivors: six-month longitudinal cohort data
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