Effect of telephone health coaching (Birmingham OwnHealth) on hospital use and associated costs: cohort study with matched controls
Objectives To test the effect of a telephone health coaching service (Birmingham OwnHealth) on hospital use and associated costs. Design Analysis of person level administrative data. Difference-in-difference analysis was done relative to matched controls. Setting Community based intervention operati...
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description | Objectives To test the effect of a telephone health coaching service (Birmingham OwnHealth) on hospital use and associated costs. Design Analysis of person level administrative data. Difference-in-difference analysis was done relative to matched controls. Setting Community based intervention operating in a large English city with industry. Participants 2698 patients recruited from local general practices before 2009 with heart failure, coronary heart disease, diabetes, or chronic obstructive pulmonary disease; and a history of inpatient or outpatient hospital use. These individuals were matched on a 1:1 basis to control patients from similar areas of England with respect to demographics, diagnoses of health conditions, previous hospital use, and a predictive risk score. Intervention Telephone health coaching involved a personalised care plan and a series of outbound calls usually scheduled monthly. Median length of time enrolled on the service was 25.5 months. Control participants received usual healthcare in their areas, which did not include telephone health coaching. Main outcome measures Number of emergency hospital admissions per head over 12 months after enrolment. Secondary metrics calculated over 12 months were: hospital bed days, elective hospital admissions, outpatient attendances, and secondary care costs. Results In relation to diagnoses of health conditions and other baseline variables, matched controls and intervention patients were similar before the date of enrolment. After this point, emergency admissions increased more quickly among intervention participants than matched controls (difference 0.05 admissions per head, 95% confidence interval 0.00 to 0.09, P=0.046). Outpatient attendances also increased more quickly in the intervention group (difference 0.37 attendances per head, 0.16 to 0.58, P |
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Design Analysis of person level administrative data. Difference-in-difference analysis was done relative to matched controls. Setting Community based intervention operating in a large English city with industry. Participants 2698 patients recruited from local general practices before 2009 with heart failure, coronary heart disease, diabetes, or chronic obstructive pulmonary disease; and a history of inpatient or outpatient hospital use. These individuals were matched on a 1:1 basis to control patients from similar areas of England with respect to demographics, diagnoses of health conditions, previous hospital use, and a predictive risk score. Intervention Telephone health coaching involved a personalised care plan and a series of outbound calls usually scheduled monthly. Median length of time enrolled on the service was 25.5 months. Control participants received usual healthcare in their areas, which did not include telephone health coaching. Main outcome measures Number of emergency hospital admissions per head over 12 months after enrolment. Secondary metrics calculated over 12 months were: hospital bed days, elective hospital admissions, outpatient attendances, and secondary care costs. Results In relation to diagnoses of health conditions and other baseline variables, matched controls and intervention patients were similar before the date of enrolment. After this point, emergency admissions increased more quickly among intervention participants than matched controls (difference 0.05 admissions per head, 95% confidence interval 0.00 to 0.09, P=0.046). Outpatient attendances also increased more quickly in the intervention group (difference 0.37 attendances per head, 0.16 to 0.58, P<0.001), as did secondary care costs (difference £175 per head, £22 to £328, P=0.025). Checks showed that we were unlikely to have missed reductions in emergency admissions because of unobserved differences between intervention and matched control groups. Conclusions The Birmingham OwnHealth telephone health coaching intervention did not lead to the expected reductions in hospital admissions or secondary care costs over 12 months, and could have led to increases.</description><identifier>ISSN: 0959-8138</identifier><identifier>ISSN: 1756-1833</identifier><identifier>EISSN: 1756-1833</identifier><identifier>DOI: 10.1136/bmj.f4585</identifier><identifier>PMID: 23920348</identifier><language>eng</language><publisher>England: British Medical Journal Publishing Group</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Ambulatory care ; Blood pressure ; Cardiovascular disease ; Chronic Disease ; Chronic obstructive pulmonary disease ; Clinical decision making ; Coaching ; Cohort analysis ; Cohort studies ; Coronary artery disease ; Coronary Disease - therapy ; Coronary vessels ; Cost control ; Cost efficiency ; Cost-Benefit Analysis ; Data processing ; Decision making ; Demography ; Diabetes ; Diabetes mellitus ; Diabetes Mellitus - therapy ; Disease Management ; Emergency medical care ; Emergency Service, Hospital - economics ; Emergency Service, Hospital - statistics & numerical data ; England ; Experimentation ; Female ; Health Behavior ; Health care ; Health services ; Heart diseases ; Heart failure ; Heart Failure - therapy ; Hospital admissions ; Hospital costs ; Humans ; Intervention ; Lung diseases ; Male ; Medical imaging ; Mental health ; Middle Aged ; Obstructive lung disease ; Older people ; Patient Education as Topic - methods ; Preventive Health Services - methods ; Psychoeducational intervention ; Pulmonary Disease, Chronic Obstructive - therapy ; Retrospective Studies ; Self Care - methods ; Social Support ; Telephone ; Telephones ; Young Adult</subject><ispartof>BMJ (Online), 2013-08, Vol.347 (7920), p.12-12</ispartof><rights>Steventon et al 2013</rights><rights>BMJ Publishing Group Ltd 2013</rights><rights>Copyright: 2013 © Steventon et al 2013</rights><rights>Steventon et al 2013 2013 Steventon et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b525t-3f96471668b61b4eee4e6cf2b8be8152a1aa85042136ad4f1978d56bc12a6a143</citedby><cites>FETCH-LOGICAL-b525t-3f96471668b61b4eee4e6cf2b8be8152a1aa85042136ad4f1978d56bc12a6a143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://bmj.com/content/347/bmj.f4585.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttp://bmj.com/content/347/bmj.f4585.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>114,115,230,314,776,780,799,881,3182,23551,27903,27904,57995,58228,77346,77377</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23920348$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Steventon, Adam</creatorcontrib><creatorcontrib>Tunkel, Sarah</creatorcontrib><creatorcontrib>Blunt, Ian</creatorcontrib><creatorcontrib>Bardsley, Martin</creatorcontrib><title>Effect of telephone health coaching (Birmingham OwnHealth) on hospital use and associated costs: cohort study with matched controls</title><title>BMJ (Online)</title><addtitle>BMJ</addtitle><description>Objectives To test the effect of a telephone health coaching service (Birmingham OwnHealth) on hospital use and associated costs. Design Analysis of person level administrative data. Difference-in-difference analysis was done relative to matched controls. Setting Community based intervention operating in a large English city with industry. Participants 2698 patients recruited from local general practices before 2009 with heart failure, coronary heart disease, diabetes, or chronic obstructive pulmonary disease; and a history of inpatient or outpatient hospital use. These individuals were matched on a 1:1 basis to control patients from similar areas of England with respect to demographics, diagnoses of health conditions, previous hospital use, and a predictive risk score. Intervention Telephone health coaching involved a personalised care plan and a series of outbound calls usually scheduled monthly. Median length of time enrolled on the service was 25.5 months. Control participants received usual healthcare in their areas, which did not include telephone health coaching. Main outcome measures Number of emergency hospital admissions per head over 12 months after enrolment. Secondary metrics calculated over 12 months were: hospital bed days, elective hospital admissions, outpatient attendances, and secondary care costs. Results In relation to diagnoses of health conditions and other baseline variables, matched controls and intervention patients were similar before the date of enrolment. After this point, emergency admissions increased more quickly among intervention participants than matched controls (difference 0.05 admissions per head, 95% confidence interval 0.00 to 0.09, P=0.046). Outpatient attendances also increased more quickly in the intervention group (difference 0.37 attendances per head, 0.16 to 0.58, P<0.001), as did secondary care costs (difference £175 per head, £22 to £328, P=0.025). Checks showed that we were unlikely to have missed reductions in emergency admissions because of unobserved differences between intervention and matched control groups. Conclusions The Birmingham OwnHealth telephone health coaching intervention did not lead to the expected reductions in hospital admissions or secondary care costs over 12 months, and could have led to increases.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Ambulatory care</subject><subject>Blood pressure</subject><subject>Cardiovascular disease</subject><subject>Chronic Disease</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Clinical decision making</subject><subject>Coaching</subject><subject>Cohort analysis</subject><subject>Cohort studies</subject><subject>Coronary artery disease</subject><subject>Coronary Disease - therapy</subject><subject>Coronary vessels</subject><subject>Cost control</subject><subject>Cost efficiency</subject><subject>Cost-Benefit Analysis</subject><subject>Data processing</subject><subject>Decision making</subject><subject>Demography</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - therapy</subject><subject>Disease Management</subject><subject>Emergency medical care</subject><subject>Emergency Service, Hospital - economics</subject><subject>Emergency Service, Hospital - statistics & numerical data</subject><subject>England</subject><subject>Experimentation</subject><subject>Female</subject><subject>Health Behavior</subject><subject>Health care</subject><subject>Health services</subject><subject>Heart diseases</subject><subject>Heart failure</subject><subject>Heart Failure - therapy</subject><subject>Hospital admissions</subject><subject>Hospital costs</subject><subject>Humans</subject><subject>Intervention</subject><subject>Lung diseases</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Mental health</subject><subject>Middle Aged</subject><subject>Obstructive lung disease</subject><subject>Older people</subject><subject>Patient Education as Topic - methods</subject><subject>Preventive Health Services - methods</subject><subject>Psychoeducational intervention</subject><subject>Pulmonary Disease, Chronic Obstructive - therapy</subject><subject>Retrospective Studies</subject><subject>Self Care - methods</subject><subject>Social Support</subject><subject>Telephone</subject><subject>Telephones</subject><subject>Young Adult</subject><issn>0959-8138</issn><issn>1756-1833</issn><issn>1756-1833</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkstu1DAYhS0EoqPSBQ8AsgSLdpFix5fYLJBg1HaQhnbBZWs5jtN4SOLBdihd8-J4ZsqoICGxsqXz-fj8FwCeYnSKMeGv6mF12lIm2AMwwxXjBRaEPAQzJJksBCbiABzFuEIIlaQSkrPH4KAkskSEihn4eda21iToW5hsb9edHy3srO5TB43XpnPjNTx-58KQL50e4NXNuNjKJ9CPsPNx7ZLu4RQt1GMDdYzeOJ1sk5_HFF_no_MhwZim5hbeuOw76GS6LTCm4Pv4BDxqdR_t0d15CD6fn32aL4rl1cX7-dtlUbOSpYK0ktMKcy5qjmtqraWWm7asRW0FZqXGWguGaJm7ohvaYlmJhvHa4FJzjSk5BG92vuupHmxjbP5e92od3KDDrfLaqT-V0XXq2n9XRCBGJcsGx3cGwX-bbExqcNHYvtej9VNUmFKU4-UQ_4FiwWkGN64v_kJXfgpj7oTCMg-WIMllpk52lAk-xmDbfW6M1GYRVF4EtV2EzD6_X-ie_D32DDzbAauYfLinb6qUPOvFTncx2R97XYevilekYuryy1xdLj-U5OMCK5z5lzt-k-HfuX4BNPHUIw</recordid><startdate>20130806</startdate><enddate>20130806</enddate><creator>Steventon, Adam</creator><creator>Tunkel, Sarah</creator><creator>Blunt, Ian</creator><creator>Bardsley, Martin</creator><general>British Medical Journal Publishing Group</general><general>BMJ Publishing Group</general><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group Ltd</general><scope>9YT</scope><scope>ACMMV</scope><scope>BSCLL</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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ASE</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FPQ</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K6X</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>MBDVC</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></search><sort><creationdate>20130806</creationdate><title>Effect of telephone health coaching (Birmingham OwnHealth) on hospital use and associated costs: cohort study with matched controls</title><author>Steventon, Adam ; Tunkel, Sarah ; Blunt, Ian ; Bardsley, Martin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b525t-3f96471668b61b4eee4e6cf2b8be8152a1aa85042136ad4f1978d56bc12a6a143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Ambulatory care</topic><topic>Blood pressure</topic><topic>Cardiovascular disease</topic><topic>Chronic Disease</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Clinical decision making</topic><topic>Coaching</topic><topic>Cohort analysis</topic><topic>Cohort studies</topic><topic>Coronary artery disease</topic><topic>Coronary Disease - therapy</topic><topic>Coronary vessels</topic><topic>Cost control</topic><topic>Cost efficiency</topic><topic>Cost-Benefit Analysis</topic><topic>Data processing</topic><topic>Decision making</topic><topic>Demography</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - therapy</topic><topic>Disease Management</topic><topic>Emergency medical care</topic><topic>Emergency Service, Hospital - economics</topic><topic>Emergency Service, Hospital - statistics & numerical data</topic><topic>England</topic><topic>Experimentation</topic><topic>Female</topic><topic>Health Behavior</topic><topic>Health care</topic><topic>Health services</topic><topic>Heart diseases</topic><topic>Heart failure</topic><topic>Heart Failure - therapy</topic><topic>Hospital admissions</topic><topic>Hospital costs</topic><topic>Humans</topic><topic>Intervention</topic><topic>Lung diseases</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Mental health</topic><topic>Middle Aged</topic><topic>Obstructive lung disease</topic><topic>Older people</topic><topic>Patient Education as Topic - methods</topic><topic>Preventive Health Services - methods</topic><topic>Psychoeducational intervention</topic><topic>Pulmonary Disease, Chronic Obstructive - therapy</topic><topic>Retrospective Studies</topic><topic>Self Care - methods</topic><topic>Social Support</topic><topic>Telephone</topic><topic>Telephones</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Steventon, Adam</creatorcontrib><creatorcontrib>Tunkel, Sarah</creatorcontrib><creatorcontrib>Blunt, Ian</creatorcontrib><creatorcontrib>Bardsley, Martin</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Istex</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 Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Index</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</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>BMJ (Online)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Steventon, Adam</au><au>Tunkel, Sarah</au><au>Blunt, Ian</au><au>Bardsley, Martin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of telephone health coaching (Birmingham OwnHealth) on hospital use and associated costs: cohort study with matched controls</atitle><jtitle>BMJ (Online)</jtitle><addtitle>BMJ</addtitle><date>2013-08-06</date><risdate>2013</risdate><volume>347</volume><issue>7920</issue><spage>12</spage><epage>12</epage><pages>12-12</pages><issn>0959-8138</issn><issn>1756-1833</issn><eissn>1756-1833</eissn><abstract>Objectives To test the effect of a telephone health coaching service (Birmingham OwnHealth) on hospital use and associated costs. Design Analysis of person level administrative data. Difference-in-difference analysis was done relative to matched controls. Setting Community based intervention operating in a large English city with industry. Participants 2698 patients recruited from local general practices before 2009 with heart failure, coronary heart disease, diabetes, or chronic obstructive pulmonary disease; and a history of inpatient or outpatient hospital use. These individuals were matched on a 1:1 basis to control patients from similar areas of England with respect to demographics, diagnoses of health conditions, previous hospital use, and a predictive risk score. Intervention Telephone health coaching involved a personalised care plan and a series of outbound calls usually scheduled monthly. Median length of time enrolled on the service was 25.5 months. Control participants received usual healthcare in their areas, which did not include telephone health coaching. Main outcome measures Number of emergency hospital admissions per head over 12 months after enrolment. Secondary metrics calculated over 12 months were: hospital bed days, elective hospital admissions, outpatient attendances, and secondary care costs. Results In relation to diagnoses of health conditions and other baseline variables, matched controls and intervention patients were similar before the date of enrolment. After this point, emergency admissions increased more quickly among intervention participants than matched controls (difference 0.05 admissions per head, 95% confidence interval 0.00 to 0.09, P=0.046). Outpatient attendances also increased more quickly in the intervention group (difference 0.37 attendances per head, 0.16 to 0.58, P<0.001), as did secondary care costs (difference £175 per head, £22 to £328, P=0.025). Checks showed that we were unlikely to have missed reductions in emergency admissions because of unobserved differences between intervention and matched control groups. Conclusions The Birmingham OwnHealth telephone health coaching intervention did not lead to the expected reductions in hospital admissions or secondary care costs over 12 months, and could have led to increases.</abstract><cop>England</cop><pub>British Medical Journal Publishing Group</pub><pmid>23920348</pmid><doi>10.1136/bmj.f4585</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Ambulatory care Blood pressure Cardiovascular disease Chronic Disease Chronic obstructive pulmonary disease Clinical decision making Coaching Cohort analysis Cohort studies Coronary artery disease Coronary Disease - therapy Coronary vessels Cost control Cost efficiency Cost-Benefit Analysis Data processing Decision making Demography Diabetes Diabetes mellitus Diabetes Mellitus - therapy Disease Management Emergency medical care Emergency Service, Hospital - economics Emergency Service, Hospital - statistics & numerical data England Experimentation Female Health Behavior Health care Health services Heart diseases Heart failure Heart Failure - therapy Hospital admissions Hospital costs Humans Intervention Lung diseases Male Medical imaging Mental health Middle Aged Obstructive lung disease Older people Patient Education as Topic - methods Preventive Health Services - methods Psychoeducational intervention Pulmonary Disease, Chronic Obstructive - therapy Retrospective Studies Self Care - methods Social Support Telephone Telephones Young Adult |
title | Effect of telephone health coaching (Birmingham OwnHealth) on hospital use and associated costs: cohort study with matched controls |
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