Associations Between Seattle Heart Failure Model Scores and Medical Resource Use and Costs: Findings From HF-ACTION
Abstract Background Prognostic models, such as the Seattle Heart Failure Model (SHFM), have been developed to predict patient survival. The extent to which they predict medical resource use and costs has not been explored. In this study, we evaluated relationships between baseline SHFM scores and 1-...
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| Veröffentlicht in: | Journal of cardiac failure 2014-08, Vol.20 (8), p.541-547 |
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| container_title | Journal of cardiac failure |
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| creator | Li, Yanhong, MD Levy, Wayne C., MD Neilson, Matthew P., PhD Ellis, Stephen J., PhD Whellan, David J., MD Schulman, Kevin A., MD O'Connor, Christopher M., MD Reed, Shelby D., PhD |
| description | Abstract Background Prognostic models, such as the Seattle Heart Failure Model (SHFM), have been developed to predict patient survival. The extent to which they predict medical resource use and costs has not been explored. In this study, we evaluated relationships between baseline SHFM scores and 1-year resource use and costs using data from a clinical trial. Methods and Results We applied generalized linear models to examine the relative impact of a 1-unit increase in SHFM scores on counts of medical resource use and direct medical costs at 1 year of follow-up. Of 2331 randomized patients, 2288 (98%) had a rounded integer SHFM score between −1 and 2, consistent with predicted 1-year survival of 98% and 74%, respectively. At baseline, median age was 59 years, 28% of patients were women, and nearly two-thirds of the cohort had New York Heart Association class II heart failure and one-third had class III heart failure. Higher SHFM scores were associated with more hospitalizations (rate ratio per 1-unit increase, 1.86; P |
| doi_str_mv | 10.1016/j.cardfail.2014.05.009 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4138128</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>1_s2_0_S1071916414002140</els_id><sourcerecordid>1551329452</sourcerecordid><originalsourceid>FETCH-LOGICAL-c526t-76e7e0eceb11d9be525182b3cf3ce4c16f523c860b07a90ec919d3868166fb803</originalsourceid><addsrcrecordid>eNqFkk1v1DAQhiMEomXhL1Q-cknwOF8Oh4plRdhKLZXY9mw5zqR4ydrFky3qv8dh2wq4cPFYmnfeGc0zSXICPAMO1bttZnToB23HTHAoMl5mnDfPkmMoc5HKAorn8c9rSBuoiqPkFdGWcy4LXr9MjkQhZV3WzXFCSyJvrJ6sd8Q-4vQT0bEN6mkaka1Rh4m1scs-ILvwPY5sY3xAYtr17AJ7a_TIviL5fTDIrgl_J1aeJnrPWut6626ItcHv2LpNl6urs8svr5MXgx4J3zzERXLdfrpardPzy89nq-V5akpRTWldYY0cDXYAfdNhKUqQosvNkBssDFRDKXIjK97xWjdR2EDT57KSUFVDJ3m-SE4Pvrf7boe9QTcFParbYHc63Cuvrfo74-w3dePvVAG5BCGjwdsHg-B_7JEmtbNkcBy1Q78nBWUJuWiKOMciqQ5SEzxRwOGpDXA1E1Nb9UhMzcQUL1UkFgtP_hzyqewRURR8OAgwrurOYlBkLDoTdx_QTKr39v89Tv-xMKN1M7rveI-0jfBcBKFAkVBcbea7mc8GCs5FfPJf0ADAJg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1551329452</pqid></control><display><type>article</type><title>Associations Between Seattle Heart Failure Model Scores and Medical Resource Use and Costs: Findings From HF-ACTION</title><source>MEDLINE</source><source>Access via ScienceDirect (Elsevier)</source><creator>Li, Yanhong, MD ; Levy, Wayne C., MD ; Neilson, Matthew P., PhD ; Ellis, Stephen J., PhD ; Whellan, David J., MD ; Schulman, Kevin A., MD ; O'Connor, Christopher M., MD ; Reed, Shelby D., PhD</creator><creatorcontrib>Li, Yanhong, MD ; Levy, Wayne C., MD ; Neilson, Matthew P., PhD ; Ellis, Stephen J., PhD ; Whellan, David J., MD ; Schulman, Kevin A., MD ; O'Connor, Christopher M., MD ; Reed, Shelby D., PhD</creatorcontrib><description>Abstract Background Prognostic models, such as the Seattle Heart Failure Model (SHFM), have been developed to predict patient survival. The extent to which they predict medical resource use and costs has not been explored. In this study, we evaluated relationships between baseline SHFM scores and 1-year resource use and costs using data from a clinical trial. Methods and Results We applied generalized linear models to examine the relative impact of a 1-unit increase in SHFM scores on counts of medical resource use and direct medical costs at 1 year of follow-up. Of 2331 randomized patients, 2288 (98%) had a rounded integer SHFM score between −1 and 2, consistent with predicted 1-year survival of 98% and 74%, respectively. At baseline, median age was 59 years, 28% of patients were women, and nearly two-thirds of the cohort had New York Heart Association class II heart failure and one-third had class III heart failure. Higher SHFM scores were associated with more hospitalizations (rate ratio per 1-unit increase, 1.86; P < .001), more inpatient days (2.30; P < .001), and higher inpatient costs (2.28; P < .001), outpatient costs (1.54; P < .001), and total medical costs (2.13; P < .001). Conclusion Although developed to predict all-cause mortality, SHFM scores also predict medical resource use and costs.</description><identifier>ISSN: 1071-9164</identifier><identifier>EISSN: 1532-8414</identifier><identifier>DOI: 10.1016/j.cardfail.2014.05.009</identifier><identifier>PMID: 24887579</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Canada - epidemiology ; Cardiovascular ; Costs and Cost Analysis ; Exercise Therapy - economics ; Female ; Follow-Up Studies ; France - epidemiology ; Health care costs ; health resources ; Health Resources - economics ; Health Status ; heart failure ; Heart Failure - mortality ; Heart Failure - therapy ; Humans ; Linear Models ; Male ; Middle Aged ; Prognosis ; questionnaires ; Retrospective Studies ; risk assessment ; Risk Assessment - methods ; Survival Rate - trends ; Time Factors ; United States - epidemiology</subject><ispartof>Journal of cardiac failure, 2014-08, Vol.20 (8), p.541-547</ispartof><rights>Elsevier Inc.</rights><rights>2014 Elsevier Inc.</rights><rights>Copyright © 2014 Elsevier Inc. All rights reserved.</rights><rights>2014 Elsevier Inc. All rights reserved. 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c526t-76e7e0eceb11d9be525182b3cf3ce4c16f523c860b07a90ec919d3868166fb803</citedby><cites>FETCH-LOGICAL-c526t-76e7e0eceb11d9be525182b3cf3ce4c16f523c860b07a90ec919d3868166fb803</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.cardfail.2014.05.009$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24887579$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Yanhong, MD</creatorcontrib><creatorcontrib>Levy, Wayne C., MD</creatorcontrib><creatorcontrib>Neilson, Matthew P., PhD</creatorcontrib><creatorcontrib>Ellis, Stephen J., PhD</creatorcontrib><creatorcontrib>Whellan, David J., MD</creatorcontrib><creatorcontrib>Schulman, Kevin A., MD</creatorcontrib><creatorcontrib>O'Connor, Christopher M., MD</creatorcontrib><creatorcontrib>Reed, Shelby D., PhD</creatorcontrib><title>Associations Between Seattle Heart Failure Model Scores and Medical Resource Use and Costs: Findings From HF-ACTION</title><title>Journal of cardiac failure</title><addtitle>J Card Fail</addtitle><description>Abstract Background Prognostic models, such as the Seattle Heart Failure Model (SHFM), have been developed to predict patient survival. The extent to which they predict medical resource use and costs has not been explored. In this study, we evaluated relationships between baseline SHFM scores and 1-year resource use and costs using data from a clinical trial. Methods and Results We applied generalized linear models to examine the relative impact of a 1-unit increase in SHFM scores on counts of medical resource use and direct medical costs at 1 year of follow-up. Of 2331 randomized patients, 2288 (98%) had a rounded integer SHFM score between −1 and 2, consistent with predicted 1-year survival of 98% and 74%, respectively. At baseline, median age was 59 years, 28% of patients were women, and nearly two-thirds of the cohort had New York Heart Association class II heart failure and one-third had class III heart failure. Higher SHFM scores were associated with more hospitalizations (rate ratio per 1-unit increase, 1.86; P < .001), more inpatient days (2.30; P < .001), and higher inpatient costs (2.28; P < .001), outpatient costs (1.54; P < .001), and total medical costs (2.13; P < .001). Conclusion Although developed to predict all-cause mortality, SHFM scores also predict medical resource use and costs.</description><subject>Aged</subject><subject>Canada - epidemiology</subject><subject>Cardiovascular</subject><subject>Costs and Cost Analysis</subject><subject>Exercise Therapy - economics</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>France - epidemiology</subject><subject>Health care costs</subject><subject>health resources</subject><subject>Health Resources - economics</subject><subject>Health Status</subject><subject>heart failure</subject><subject>Heart Failure - mortality</subject><subject>Heart Failure - therapy</subject><subject>Humans</subject><subject>Linear Models</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Prognosis</subject><subject>questionnaires</subject><subject>Retrospective Studies</subject><subject>risk assessment</subject><subject>Risk Assessment - methods</subject><subject>Survival Rate - trends</subject><subject>Time Factors</subject><subject>United States - epidemiology</subject><issn>1071-9164</issn><issn>1532-8414</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkk1v1DAQhiMEomXhL1Q-cknwOF8Oh4plRdhKLZXY9mw5zqR4ydrFky3qv8dh2wq4cPFYmnfeGc0zSXICPAMO1bttZnToB23HTHAoMl5mnDfPkmMoc5HKAorn8c9rSBuoiqPkFdGWcy4LXr9MjkQhZV3WzXFCSyJvrJ6sd8Q-4vQT0bEN6mkaka1Rh4m1scs-ILvwPY5sY3xAYtr17AJ7a_TIviL5fTDIrgl_J1aeJnrPWut6626ItcHv2LpNl6urs8svr5MXgx4J3zzERXLdfrpardPzy89nq-V5akpRTWldYY0cDXYAfdNhKUqQosvNkBssDFRDKXIjK97xWjdR2EDT57KSUFVDJ3m-SE4Pvrf7boe9QTcFParbYHc63Cuvrfo74-w3dePvVAG5BCGjwdsHg-B_7JEmtbNkcBy1Q78nBWUJuWiKOMciqQ5SEzxRwOGpDXA1E1Nb9UhMzcQUL1UkFgtP_hzyqewRURR8OAgwrurOYlBkLDoTdx_QTKr39v89Tv-xMKN1M7rveI-0jfBcBKFAkVBcbea7mc8GCs5FfPJf0ADAJg</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Li, Yanhong, MD</creator><creator>Levy, Wayne C., MD</creator><creator>Neilson, Matthew P., PhD</creator><creator>Ellis, Stephen J., PhD</creator><creator>Whellan, David J., MD</creator><creator>Schulman, Kevin A., MD</creator><creator>O'Connor, Christopher M., MD</creator><creator>Reed, Shelby D., PhD</creator><general>Elsevier Inc</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140801</creationdate><title>Associations Between Seattle Heart Failure Model Scores and Medical Resource Use and Costs: Findings From HF-ACTION</title><author>Li, Yanhong, MD ; Levy, Wayne C., MD ; Neilson, Matthew P., PhD ; Ellis, Stephen J., PhD ; Whellan, David J., MD ; Schulman, Kevin A., MD ; O'Connor, Christopher M., MD ; Reed, Shelby D., PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-76e7e0eceb11d9be525182b3cf3ce4c16f523c860b07a90ec919d3868166fb803</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Aged</topic><topic>Canada - epidemiology</topic><topic>Cardiovascular</topic><topic>Costs and Cost Analysis</topic><topic>Exercise Therapy - economics</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>France - epidemiology</topic><topic>Health care costs</topic><topic>health resources</topic><topic>Health Resources - economics</topic><topic>Health Status</topic><topic>heart failure</topic><topic>Heart Failure - mortality</topic><topic>Heart Failure - therapy</topic><topic>Humans</topic><topic>Linear Models</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Prognosis</topic><topic>questionnaires</topic><topic>Retrospective Studies</topic><topic>risk assessment</topic><topic>Risk Assessment - methods</topic><topic>Survival Rate - trends</topic><topic>Time Factors</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Yanhong, MD</creatorcontrib><creatorcontrib>Levy, Wayne C., MD</creatorcontrib><creatorcontrib>Neilson, Matthew P., PhD</creatorcontrib><creatorcontrib>Ellis, Stephen J., PhD</creatorcontrib><creatorcontrib>Whellan, David J., MD</creatorcontrib><creatorcontrib>Schulman, Kevin A., MD</creatorcontrib><creatorcontrib>O'Connor, Christopher M., MD</creatorcontrib><creatorcontrib>Reed, Shelby D., PhD</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of cardiac failure</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Yanhong, MD</au><au>Levy, Wayne C., MD</au><au>Neilson, Matthew P., PhD</au><au>Ellis, Stephen J., PhD</au><au>Whellan, David J., MD</au><au>Schulman, Kevin A., MD</au><au>O'Connor, Christopher M., MD</au><au>Reed, Shelby D., PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations Between Seattle Heart Failure Model Scores and Medical Resource Use and Costs: Findings From HF-ACTION</atitle><jtitle>Journal of cardiac failure</jtitle><addtitle>J Card Fail</addtitle><date>2014-08-01</date><risdate>2014</risdate><volume>20</volume><issue>8</issue><spage>541</spage><epage>547</epage><pages>541-547</pages><issn>1071-9164</issn><eissn>1532-8414</eissn><abstract>Abstract Background Prognostic models, such as the Seattle Heart Failure Model (SHFM), have been developed to predict patient survival. The extent to which they predict medical resource use and costs has not been explored. In this study, we evaluated relationships between baseline SHFM scores and 1-year resource use and costs using data from a clinical trial. Methods and Results We applied generalized linear models to examine the relative impact of a 1-unit increase in SHFM scores on counts of medical resource use and direct medical costs at 1 year of follow-up. Of 2331 randomized patients, 2288 (98%) had a rounded integer SHFM score between −1 and 2, consistent with predicted 1-year survival of 98% and 74%, respectively. At baseline, median age was 59 years, 28% of patients were women, and nearly two-thirds of the cohort had New York Heart Association class II heart failure and one-third had class III heart failure. Higher SHFM scores were associated with more hospitalizations (rate ratio per 1-unit increase, 1.86; P < .001), more inpatient days (2.30; P < .001), and higher inpatient costs (2.28; P < .001), outpatient costs (1.54; P < .001), and total medical costs (2.13; P < .001). Conclusion Although developed to predict all-cause mortality, SHFM scores also predict medical resource use and costs.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>24887579</pmid><doi>10.1016/j.cardfail.2014.05.009</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Aged Canada - epidemiology Cardiovascular Costs and Cost Analysis Exercise Therapy - economics Female Follow-Up Studies France - epidemiology Health care costs health resources Health Resources - economics Health Status heart failure Heart Failure - mortality Heart Failure - therapy Humans Linear Models Male Middle Aged Prognosis questionnaires Retrospective Studies risk assessment Risk Assessment - methods Survival Rate - trends Time Factors United States - epidemiology |
| title | Associations Between Seattle Heart Failure Model Scores and Medical Resource Use and Costs: Findings From HF-ACTION |
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