Regional variation in healthcare spending and mortality among senior high-cost healthcare users in Ontario, Canada: a retrospective matched cohort study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Sergei Muratov, Justin Lee, Anne Holbrook, Andrew Costa, J. Michael Paterson, Jason R. Guertin, Lawrence Mbuagbaw, Tara Gomes, Wayne Khuu, Jean-Eric Tarride

ABSTRACT

BACKGROUND: Senior high cost health care users (HCU) are a priority for many governments. Little research has addressed regional variation of HCU incidence and outcomes, especially among incident HCU. This study describes the regional variation in healthcare costs and mortality across Ontario's health planning districts [Local Health Integration Networks (LHIN)] among senior incident HCU and non-HCU and explores the relationship between healthcare spending and mortality. METHODS: We conducted a retrospective population-based matched cohort study of incident senior HCU defined as Ontarians aged ≥66 years in the top 5% most costly healthcare users in fiscal year (FY) 2013. We matched HCU to non-HCU (1:3) based on age, sex and LHIN. Primary outcomes were LHIN-based variation in costs (total and 12 cost components) and mortality during FY2013 as measured by variance estimates derived from multi-level models. Outcomes were risk-adjusted for age, sex, ADGs, and low-income status. In a cost-mortality analysis by LHIN, risk-adjusted random effects for total costs and mortality were graphically presented together in a cost-mortality plane to identify low and high performers. RESULTS: We studied 175,847 incident HCU and 527,541 matched non-HCU. On average, 94 out of 1000 seniors per LHIN were HCU (CV = 4.6%). The mean total costs for HCU in FY2013 were 12 times higher that of non-HCU ($29,779 vs. $2472 respectively), whereas all-cause mortality was 13.6 times greater (103.9 vs. 7.5 per 1000 seniors). Regional variation in costs and mortality was lower in senior HCU compared with non-HCU. We identified greater variability in accessing the healthcare system, but, once the patient entered the system, variation in costs was low. The traditional drivers of costs and mortality that we adjusted for played little role in driving the observed variation in HCUs' outcomes. We identified LHINs that had high mortality rates despite elevated healthcare expenditures and those that achieved lower mortality at lower costs. Some LHINs achieved low mortality at excessively high costs. CONCLUSIONS: Risk-adjusted allocation of healthcare resources to seniors in Ontario is overall similar across health districts, more so for HCU than non-HCU. Identified important variation in the cost-mortality relationship across LHINs needs to be further explored. More... »

PAGES

262

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12877-018-0952-7

DOI

http://dx.doi.org/10.1186/s12877-018-0952-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107953418

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30382828


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Programs for Assessment of Technology in Health Research Institute", 
          "id": "https://www.grid.ac/institutes/grid.452761.3", 
          "name": [
            "Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada", 
            "Programs for Assessment of Technology in Health (PATH), The Research Institute of St. Joe\u2019s Hamilton, St. Joseph\u2019s Healthcare, Hamilton, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Muratov", 
        "givenName": "Sergei", 
        "id": "sg:person.0602351546.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602351546.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hamilton Health Sciences", 
          "id": "https://www.grid.ac/institutes/grid.413615.4", 
          "name": [
            "Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada", 
            "Division of Geriatric Medicine, Department of Medicine, McMaster University, Hamilton, ON, Canada", 
            "Division of Clinical Pharmacology and Toxicology, Department of Medicine, McMaster University, Hamilton, ON, Canada", 
            "Geriatric Education and Research in Aging Sciences Centre, Hamilton Health Sciences, Hamilton, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Justin", 
        "id": "sg:person.010665241665.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010665241665.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "McMaster University", 
          "id": "https://www.grid.ac/institutes/grid.25073.33", 
          "name": [
            "Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada", 
            "Division of Clinical Pharmacology and Toxicology, Department of Medicine, McMaster University, Hamilton, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Holbrook", 
        "givenName": "Anne", 
        "id": "sg:person.01217347102.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217347102.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "McMaster University", 
          "id": "https://www.grid.ac/institutes/grid.25073.33", 
          "name": [
            "Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada", 
            "Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada", 
            "Center for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Costa", 
        "givenName": "Andrew", 
        "id": "sg:person.01334742277.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334742277.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Toronto", 
          "id": "https://www.grid.ac/institutes/grid.17063.33", 
          "name": [
            "Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada", 
            "Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paterson", 
        "givenName": "J. Michael", 
        "id": "sg:person.0645415754.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645415754.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universit\u00e9 Laval", 
          "id": "https://www.grid.ac/institutes/grid.23856.3a", 
          "name": [
            "D\u00e9partement de M\u00e9decine Sociale et Pr\u00e9ventive, Facult\u00e9 de M\u00e9decine, Universit\u00e9 Laval, Quebec City, QC, Canada", 
            "Centre de recherche du CHU de Qu\u00e9bec, Universit\u00e9 Laval, Axe Sant\u00e9 des Populations et Pratiques Optimales en Sant\u00e9, Qu\u00e9bec City, QC, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guertin", 
        "givenName": "Jason R.", 
        "id": "sg:person.0627711132.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627711132.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "McMaster University", 
          "id": "https://www.grid.ac/institutes/grid.25073.33", 
          "name": [
            "Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada", 
            "Biostatistics Unit, Father Sean O\u2019Sullivan Research Centre, St Joseph\u2019s Healthcare, Hamilton, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mbuagbaw", 
        "givenName": "Lawrence", 
        "id": "sg:person.01157102170.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157102170.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "St. Michael's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415502.7", 
          "name": [
            "Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada", 
            "Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada", 
            "Li Ka Shing Knowledge Institute, St. Michael\u2019s Hospital, Toronto, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gomes", 
        "givenName": "Tara", 
        "id": "sg:person.01353613412.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353613412.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute for Clinical Evaluative Sciences", 
          "id": "https://www.grid.ac/institutes/grid.418647.8", 
          "name": [
            "Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khuu", 
        "givenName": "Wayne", 
        "id": "sg:person.013105023655.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013105023655.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "McMaster University", 
          "id": "https://www.grid.ac/institutes/grid.25073.33", 
          "name": [
            "Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada", 
            "Programs for Assessment of Technology in Health (PATH), The Research Institute of St. Joe\u2019s Hamilton, St. Joseph\u2019s Healthcare, Hamilton, ON, Canada", 
            "Center for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tarride", 
        "givenName": "Jean-Eric", 
        "id": "sg:person.01200370045.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200370045.65"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s10754-012-9107-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000502470", 
          "https://doi.org/10.1007/s10754-012-9107-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2288-12-163", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003757183", 
          "https://doi.org/10.1186/1471-2288-12-163"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jstrokecerebrovasdis.2016.07.046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005995102"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004010-200510000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006993724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004010-200510000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006993724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00004010-200510000-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006993724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amepre.2015.02.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011146271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pds.803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013907585"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/hs1001.096196", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014528566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.3697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014989870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.3697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014989870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.healthpol.2013.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016607617"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.3205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017251647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hec.852", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017546884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/b978-0-444-53592-4.00002-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018502948"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhealeco.2003.10.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022157959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1377/hlthaff.2014.0280", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024286083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/15412550903140865", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030912148"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1378/chest.129.4.909", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031347020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hec.2941", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032737385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0015883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033679002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2288-7-29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035522925", 
          "https://doi.org/10.1186/1471-2288-7-29"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmp1608511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036499323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/intqhc/mzr010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037282104"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1475-6773.12286", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039097592"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.athoracsur.2014.11.039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039239125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.9778/cmajo.20150014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039512532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.9778/cmajo.20150014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039512532"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhealeco.2009.11.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040640873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclinepi.2013.08.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041596919"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hec.2916", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041644812"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12913-014-0532-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042240476", 
          "https://doi.org/10.1186/s12913-014-0532-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12913-014-0532-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042240476", 
          "https://doi.org/10.1186/s12913-014-0532-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6963-9-122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043110233", 
          "https://doi.org/10.1186/1472-6963-9-122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2012.265", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045663165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.healthpol.2016.04.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047927448"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmsa0909253", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048613688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2011.05.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048666564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejim.2016.02.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050559415"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmsa1203980", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051389741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1503/cmaj.150064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052164396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1503/cmaj.150064", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052164396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0166762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053244907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1191/0962280202sm291ra", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064155169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1191/0962280202sm291ra", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064155169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1198/016214505000001429", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064198472"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.12927/hcpol.2013.23478", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064753335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.12927/hcpol.2015.24361", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064753458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3350220", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070280174"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3961/jpmph.16.034", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071763043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5860/choice.51-4556", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073466862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-138-4-200302180-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073706098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-138-4-200302180-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073706099"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078739012", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079320505", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.socscimed.2017.02.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083910854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.7336", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085576852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1098/rsif.2017.0213", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091607610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmjopen-2017-018488", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100078806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/jgs.15257", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100951513"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/jhq.0000000000000123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101202920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/jhq.0000000000000123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101202920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/jhq.0000000000000123", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101202920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12913-018-3128-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103784402", 
          "https://doi.org/10.1186/s12913-018-3128-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12913-018-3128-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103784402", 
          "https://doi.org/10.1186/s12913-018-3128-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1787/5kmfp51f5f9t-en", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107166581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1787/5kmfp51f5f9t-en", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107166581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1787/5kmfp51f5f9t-en", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107166581"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "BACKGROUND: Senior high cost health care users (HCU) are a priority for many governments. Little research has addressed regional variation of HCU incidence and outcomes, especially among incident HCU. This study describes the regional variation in healthcare costs and mortality across Ontario's health planning districts [Local Health Integration Networks (LHIN)] among senior incident HCU and non-HCU and explores the relationship between healthcare spending and mortality.\nMETHODS: We conducted a retrospective population-based matched cohort study of incident senior HCU defined as Ontarians aged \u226566\u00a0years in the top 5% most costly healthcare users in fiscal year (FY) 2013. We matched HCU to non-HCU (1:3) based on age, sex and LHIN. Primary outcomes were LHIN-based variation in costs (total and 12 cost components) and mortality during FY2013 as measured by variance estimates derived from multi-level models. Outcomes were risk-adjusted for age, sex, ADGs, and low-income status. In a cost-mortality analysis by LHIN, risk-adjusted random effects for total costs and mortality were graphically presented together in a cost-mortality plane to identify low and high performers.\nRESULTS: We studied 175,847 incident HCU and 527,541 matched non-HCU. On average, 94 out of 1000 seniors per LHIN were HCU (CV\u2009=\u20094.6%). The mean total costs for HCU in FY2013 were 12 times higher that of non-HCU ($29,779 vs. $2472 respectively), whereas all-cause mortality was 13.6 times greater (103.9 vs. 7.5 per 1000 seniors). Regional variation in costs and mortality was lower in senior HCU compared with non-HCU. We identified greater variability in accessing the healthcare system, but, once the patient entered the system, variation in costs was low. The traditional drivers of costs and mortality that we adjusted for played little role in driving the observed variation in HCUs' outcomes. We identified LHINs that had high mortality rates despite elevated healthcare expenditures and those that achieved lower mortality at lower costs. Some LHINs achieved low mortality at excessively high costs.\nCONCLUSIONS: Risk-adjusted allocation of healthcare resources to seniors in Ontario is overall similar across health districts, more so for HCU than non-HCU. Identified important variation in the cost-mortality relationship across LHINs needs to be further explored.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12877-018-0952-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024943", 
        "issn": [
          "1471-2318"
        ], 
        "name": "BMC Geriatrics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Regional variation in healthcare spending and mortality among senior high-cost healthcare users in Ontario, Canada: a retrospective matched cohort study", 
    "pagination": "262", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "99a6cfcf8b2b83f9be8f247897a5dc466d9866983473829bf79f546955dcd04c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30382828"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968548"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12877-018-0952-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107953418"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12877-018-0952-7", 
      "https://app.dimensions.ai/details/publication/pub.1107953418"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:23", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8697_00000609.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12877-018-0952-7"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12877-018-0952-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12877-018-0952-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12877-018-0952-7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12877-018-0952-7'


 

This table displays all metadata directly associated to this object as RDF triples.

334 TRIPLES      21 PREDICATES      85 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12877-018-0952-7 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Na0cc91523f5d4718aba043c67f52270e
4 schema:citation sg:pub.10.1007/s10754-012-9107-0
5 sg:pub.10.1186/1471-2288-12-163
6 sg:pub.10.1186/1471-2288-7-29
7 sg:pub.10.1186/1472-6963-9-122
8 sg:pub.10.1186/s12913-014-0532-2
9 sg:pub.10.1186/s12913-018-3128-4
10 https://app.dimensions.ai/details/publication/pub.1078739012
11 https://app.dimensions.ai/details/publication/pub.1079320505
12 https://doi.org/10.1001/jama.2012.265
13 https://doi.org/10.1002/hec.2916
14 https://doi.org/10.1002/hec.2941
15 https://doi.org/10.1002/hec.852
16 https://doi.org/10.1002/pds.803
17 https://doi.org/10.1002/sim.3205
18 https://doi.org/10.1002/sim.3697
19 https://doi.org/10.1002/sim.7336
20 https://doi.org/10.1016/b978-0-444-53592-4.00002-5
21 https://doi.org/10.1016/j.amepre.2015.02.018
22 https://doi.org/10.1016/j.athoracsur.2014.11.039
23 https://doi.org/10.1016/j.ejim.2016.02.025
24 https://doi.org/10.1016/j.healthpol.2013.08.002
25 https://doi.org/10.1016/j.healthpol.2016.04.007
26 https://doi.org/10.1016/j.jclinepi.2013.08.005
27 https://doi.org/10.1016/j.jhealeco.2003.10.005
28 https://doi.org/10.1016/j.jhealeco.2009.11.010
29 https://doi.org/10.1016/j.jstrokecerebrovasdis.2016.07.046
30 https://doi.org/10.1016/j.radonc.2011.05.012
31 https://doi.org/10.1016/j.socscimed.2017.02.024
32 https://doi.org/10.1056/nejmp1608511
33 https://doi.org/10.1056/nejmsa0909253
34 https://doi.org/10.1056/nejmsa1203980
35 https://doi.org/10.1080/15412550903140865
36 https://doi.org/10.1093/intqhc/mzr010
37 https://doi.org/10.1097/00004010-200510000-00009
38 https://doi.org/10.1097/jhq.0000000000000123
39 https://doi.org/10.1098/rsif.2017.0213
40 https://doi.org/10.1111/1475-6773.12286
41 https://doi.org/10.1111/jgs.15257
42 https://doi.org/10.1136/bmjopen-2017-018488
43 https://doi.org/10.1161/hs1001.096196
44 https://doi.org/10.1191/0962280202sm291ra
45 https://doi.org/10.1198/016214505000001429
46 https://doi.org/10.12927/hcpol.2013.23478
47 https://doi.org/10.12927/hcpol.2015.24361
48 https://doi.org/10.1371/journal.pone.0015883
49 https://doi.org/10.1371/journal.pone.0166762
50 https://doi.org/10.1377/hlthaff.2014.0280
51 https://doi.org/10.1378/chest.129.4.909
52 https://doi.org/10.1503/cmaj.150064
53 https://doi.org/10.1787/5kmfp51f5f9t-en
54 https://doi.org/10.2307/3350220
55 https://doi.org/10.3961/jpmph.16.034
56 https://doi.org/10.5860/choice.51-4556
57 https://doi.org/10.7326/0003-4819-138-4-200302180-00006
58 https://doi.org/10.7326/0003-4819-138-4-200302180-00007
59 https://doi.org/10.9778/cmajo.20150014
60 schema:datePublished 2018-12
61 schema:datePublishedReg 2018-12-01
62 schema:description BACKGROUND: Senior high cost health care users (HCU) are a priority for many governments. Little research has addressed regional variation of HCU incidence and outcomes, especially among incident HCU. This study describes the regional variation in healthcare costs and mortality across Ontario's health planning districts [Local Health Integration Networks (LHIN)] among senior incident HCU and non-HCU and explores the relationship between healthcare spending and mortality. METHODS: We conducted a retrospective population-based matched cohort study of incident senior HCU defined as Ontarians aged ≥66 years in the top 5% most costly healthcare users in fiscal year (FY) 2013. We matched HCU to non-HCU (1:3) based on age, sex and LHIN. Primary outcomes were LHIN-based variation in costs (total and 12 cost components) and mortality during FY2013 as measured by variance estimates derived from multi-level models. Outcomes were risk-adjusted for age, sex, ADGs, and low-income status. In a cost-mortality analysis by LHIN, risk-adjusted random effects for total costs and mortality were graphically presented together in a cost-mortality plane to identify low and high performers. RESULTS: We studied 175,847 incident HCU and 527,541 matched non-HCU. On average, 94 out of 1000 seniors per LHIN were HCU (CV = 4.6%). The mean total costs for HCU in FY2013 were 12 times higher that of non-HCU ($29,779 vs. $2472 respectively), whereas all-cause mortality was 13.6 times greater (103.9 vs. 7.5 per 1000 seniors). Regional variation in costs and mortality was lower in senior HCU compared with non-HCU. We identified greater variability in accessing the healthcare system, but, once the patient entered the system, variation in costs was low. The traditional drivers of costs and mortality that we adjusted for played little role in driving the observed variation in HCUs' outcomes. We identified LHINs that had high mortality rates despite elevated healthcare expenditures and those that achieved lower mortality at lower costs. Some LHINs achieved low mortality at excessively high costs. CONCLUSIONS: Risk-adjusted allocation of healthcare resources to seniors in Ontario is overall similar across health districts, more so for HCU than non-HCU. Identified important variation in the cost-mortality relationship across LHINs needs to be further explored.
63 schema:genre research_article
64 schema:inLanguage en
65 schema:isAccessibleForFree true
66 schema:isPartOf N9a26910f22214556bc34f0411f7b57a6
67 Nbd52cea1b0cf40c1a5c97a971fa6a344
68 sg:journal.1024943
69 schema:name Regional variation in healthcare spending and mortality among senior high-cost healthcare users in Ontario, Canada: a retrospective matched cohort study
70 schema:pagination 262
71 schema:productId N36007f9f0a654b08ac544ff3b1b1b27d
72 N56cbf03c4db84c38b4c923025e06e2e6
73 N70774a36b2664c7d944feb56d709e8b8
74 N9b5560c46e9743248b61a64f26592623
75 Nf221120eca7344d6a2c6929c20ca8487
76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107953418
77 https://doi.org/10.1186/s12877-018-0952-7
78 schema:sdDatePublished 2019-04-11T01:23
79 schema:sdLicense https://scigraph.springernature.com/explorer/license/
80 schema:sdPublisher Ne776261be3db40a38dcd105df7e19e1c
81 schema:url https://link.springer.com/10.1186%2Fs12877-018-0952-7
82 sgo:license sg:explorer/license/
83 sgo:sdDataset articles
84 rdf:type schema:ScholarlyArticle
85 N2cc755ca0bf5411e8d7a0b13f4ecbc8d rdf:first sg:person.013105023655.70
86 rdf:rest N7f45efc8ab9244e89fbbabcb7fff833c
87 N36007f9f0a654b08ac544ff3b1b1b27d schema:name nlm_unique_id
88 schema:value 100968548
89 rdf:type schema:PropertyValue
90 N56cbf03c4db84c38b4c923025e06e2e6 schema:name pubmed_id
91 schema:value 30382828
92 rdf:type schema:PropertyValue
93 N66d245c4215442cbb2168845ca820e3e rdf:first sg:person.01157102170.79
94 rdf:rest Na623ff7e9d744393abc26d26ec683d9b
95 N70774a36b2664c7d944feb56d709e8b8 schema:name readcube_id
96 schema:value 99a6cfcf8b2b83f9be8f247897a5dc466d9866983473829bf79f546955dcd04c
97 rdf:type schema:PropertyValue
98 N76bd3742082b4aeab4ffc24cd6312552 rdf:first sg:person.0627711132.74
99 rdf:rest N66d245c4215442cbb2168845ca820e3e
100 N7f45efc8ab9244e89fbbabcb7fff833c rdf:first sg:person.01200370045.65
101 rdf:rest rdf:nil
102 N93a51fb5b1db4330b9079d6b7b812553 rdf:first sg:person.01217347102.85
103 rdf:rest Na82778403cba41e5aae5a3123fa06f8e
104 N9a26910f22214556bc34f0411f7b57a6 schema:volumeNumber 18
105 rdf:type schema:PublicationVolume
106 N9b5560c46e9743248b61a64f26592623 schema:name dimensions_id
107 schema:value pub.1107953418
108 rdf:type schema:PropertyValue
109 Na0cc91523f5d4718aba043c67f52270e rdf:first sg:person.0602351546.73
110 rdf:rest Ne9677ceb84e64f5ea7f869b517c400ef
111 Na623ff7e9d744393abc26d26ec683d9b rdf:first sg:person.01353613412.07
112 rdf:rest N2cc755ca0bf5411e8d7a0b13f4ecbc8d
113 Na82778403cba41e5aae5a3123fa06f8e rdf:first sg:person.01334742277.14
114 rdf:rest Nf359d4c037e0477db717b54e98f94ec4
115 Nbd52cea1b0cf40c1a5c97a971fa6a344 schema:issueNumber 1
116 rdf:type schema:PublicationIssue
117 Ne776261be3db40a38dcd105df7e19e1c schema:name Springer Nature - SN SciGraph project
118 rdf:type schema:Organization
119 Ne9677ceb84e64f5ea7f869b517c400ef rdf:first sg:person.010665241665.47
120 rdf:rest N93a51fb5b1db4330b9079d6b7b812553
121 Nf221120eca7344d6a2c6929c20ca8487 schema:name doi
122 schema:value 10.1186/s12877-018-0952-7
123 rdf:type schema:PropertyValue
124 Nf359d4c037e0477db717b54e98f94ec4 rdf:first sg:person.0645415754.90
125 rdf:rest N76bd3742082b4aeab4ffc24cd6312552
126 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
127 schema:name Medical and Health Sciences
128 rdf:type schema:DefinedTerm
129 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
130 schema:name Public Health and Health Services
131 rdf:type schema:DefinedTerm
132 sg:journal.1024943 schema:issn 1471-2318
133 schema:name BMC Geriatrics
134 rdf:type schema:Periodical
135 sg:person.010665241665.47 schema:affiliation https://www.grid.ac/institutes/grid.413615.4
136 schema:familyName Lee
137 schema:givenName Justin
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010665241665.47
139 rdf:type schema:Person
140 sg:person.01157102170.79 schema:affiliation https://www.grid.ac/institutes/grid.25073.33
141 schema:familyName Mbuagbaw
142 schema:givenName Lawrence
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157102170.79
144 rdf:type schema:Person
145 sg:person.01200370045.65 schema:affiliation https://www.grid.ac/institutes/grid.25073.33
146 schema:familyName Tarride
147 schema:givenName Jean-Eric
148 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200370045.65
149 rdf:type schema:Person
150 sg:person.01217347102.85 schema:affiliation https://www.grid.ac/institutes/grid.25073.33
151 schema:familyName Holbrook
152 schema:givenName Anne
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01217347102.85
154 rdf:type schema:Person
155 sg:person.013105023655.70 schema:affiliation https://www.grid.ac/institutes/grid.418647.8
156 schema:familyName Khuu
157 schema:givenName Wayne
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013105023655.70
159 rdf:type schema:Person
160 sg:person.01334742277.14 schema:affiliation https://www.grid.ac/institutes/grid.25073.33
161 schema:familyName Costa
162 schema:givenName Andrew
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334742277.14
164 rdf:type schema:Person
165 sg:person.01353613412.07 schema:affiliation https://www.grid.ac/institutes/grid.415502.7
166 schema:familyName Gomes
167 schema:givenName Tara
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353613412.07
169 rdf:type schema:Person
170 sg:person.0602351546.73 schema:affiliation https://www.grid.ac/institutes/grid.452761.3
171 schema:familyName Muratov
172 schema:givenName Sergei
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602351546.73
174 rdf:type schema:Person
175 sg:person.0627711132.74 schema:affiliation https://www.grid.ac/institutes/grid.23856.3a
176 schema:familyName Guertin
177 schema:givenName Jason R.
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627711132.74
179 rdf:type schema:Person
180 sg:person.0645415754.90 schema:affiliation https://www.grid.ac/institutes/grid.17063.33
181 schema:familyName Paterson
182 schema:givenName J. Michael
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645415754.90
184 rdf:type schema:Person
185 sg:pub.10.1007/s10754-012-9107-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000502470
186 https://doi.org/10.1007/s10754-012-9107-0
187 rdf:type schema:CreativeWork
188 sg:pub.10.1186/1471-2288-12-163 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003757183
189 https://doi.org/10.1186/1471-2288-12-163
190 rdf:type schema:CreativeWork
191 sg:pub.10.1186/1471-2288-7-29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035522925
192 https://doi.org/10.1186/1471-2288-7-29
193 rdf:type schema:CreativeWork
194 sg:pub.10.1186/1472-6963-9-122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043110233
195 https://doi.org/10.1186/1472-6963-9-122
196 rdf:type schema:CreativeWork
197 sg:pub.10.1186/s12913-014-0532-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042240476
198 https://doi.org/10.1186/s12913-014-0532-2
199 rdf:type schema:CreativeWork
200 sg:pub.10.1186/s12913-018-3128-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103784402
201 https://doi.org/10.1186/s12913-018-3128-4
202 rdf:type schema:CreativeWork
203 https://app.dimensions.ai/details/publication/pub.1078739012 schema:CreativeWork
204 https://app.dimensions.ai/details/publication/pub.1079320505 schema:CreativeWork
205 https://doi.org/10.1001/jama.2012.265 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045663165
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1002/hec.2916 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041644812
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1002/hec.2941 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032737385
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1002/hec.852 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017546884
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1002/pds.803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013907585
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1002/sim.3205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017251647
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1002/sim.3697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014989870
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1002/sim.7336 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085576852
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1016/b978-0-444-53592-4.00002-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018502948
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1016/j.amepre.2015.02.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011146271
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/j.athoracsur.2014.11.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039239125
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.ejim.2016.02.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050559415
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/j.healthpol.2013.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016607617
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1016/j.healthpol.2016.04.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047927448
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1016/j.jclinepi.2013.08.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041596919
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1016/j.jhealeco.2003.10.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022157959
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1016/j.jhealeco.2009.11.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040640873
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1016/j.jstrokecerebrovasdis.2016.07.046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005995102
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1016/j.radonc.2011.05.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048666564
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1016/j.socscimed.2017.02.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083910854
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1056/nejmp1608511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036499323
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1056/nejmsa0909253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048613688
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1056/nejmsa1203980 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051389741
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1080/15412550903140865 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030912148
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1093/intqhc/mzr010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037282104
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1097/00004010-200510000-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006993724
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1097/jhq.0000000000000123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101202920
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1098/rsif.2017.0213 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091607610
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1111/1475-6773.12286 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039097592
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1111/jgs.15257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100951513
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1136/bmjopen-2017-018488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100078806
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1161/hs1001.096196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014528566
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1191/0962280202sm291ra schema:sameAs https://app.dimensions.ai/details/publication/pub.1064155169
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1198/016214505000001429 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064198472
272 rdf:type schema:CreativeWork
273 https://doi.org/10.12927/hcpol.2013.23478 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064753335
274 rdf:type schema:CreativeWork
275 https://doi.org/10.12927/hcpol.2015.24361 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064753458
276 rdf:type schema:CreativeWork
277 https://doi.org/10.1371/journal.pone.0015883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033679002
278 rdf:type schema:CreativeWork
279 https://doi.org/10.1371/journal.pone.0166762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053244907
280 rdf:type schema:CreativeWork
281 https://doi.org/10.1377/hlthaff.2014.0280 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024286083
282 rdf:type schema:CreativeWork
283 https://doi.org/10.1378/chest.129.4.909 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031347020
284 rdf:type schema:CreativeWork
285 https://doi.org/10.1503/cmaj.150064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052164396
286 rdf:type schema:CreativeWork
287 https://doi.org/10.1787/5kmfp51f5f9t-en schema:sameAs https://app.dimensions.ai/details/publication/pub.1107166581
288 rdf:type schema:CreativeWork
289 https://doi.org/10.2307/3350220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070280174
290 rdf:type schema:CreativeWork
291 https://doi.org/10.3961/jpmph.16.034 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071763043
292 rdf:type schema:CreativeWork
293 https://doi.org/10.5860/choice.51-4556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073466862
294 rdf:type schema:CreativeWork
295 https://doi.org/10.7326/0003-4819-138-4-200302180-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073706098
296 rdf:type schema:CreativeWork
297 https://doi.org/10.7326/0003-4819-138-4-200302180-00007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073706099
298 rdf:type schema:CreativeWork
299 https://doi.org/10.9778/cmajo.20150014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039512532
300 rdf:type schema:CreativeWork
301 https://www.grid.ac/institutes/grid.17063.33 schema:alternateName University of Toronto
302 schema:name Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada
303 Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
304 rdf:type schema:Organization
305 https://www.grid.ac/institutes/grid.23856.3a schema:alternateName Université Laval
306 schema:name Centre de recherche du CHU de Québec, Université Laval, Axe Santé des Populations et Pratiques Optimales en Santé, Québec City, QC, Canada
307 Département de Médecine Sociale et Préventive, Faculté de Médecine, Université Laval, Quebec City, QC, Canada
308 rdf:type schema:Organization
309 https://www.grid.ac/institutes/grid.25073.33 schema:alternateName McMaster University
310 schema:name Biostatistics Unit, Father Sean O’Sullivan Research Centre, St Joseph’s Healthcare, Hamilton, ON, Canada
311 Center for Health Economics and Policy Analysis (CHEPA), McMaster University, Hamilton, Canada
312 Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
313 Division of Clinical Pharmacology and Toxicology, Department of Medicine, McMaster University, Hamilton, ON, Canada
314 Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada
315 Programs for Assessment of Technology in Health (PATH), The Research Institute of St. Joe’s Hamilton, St. Joseph’s Healthcare, Hamilton, ON, Canada
316 rdf:type schema:Organization
317 https://www.grid.ac/institutes/grid.413615.4 schema:alternateName Hamilton Health Sciences
318 schema:name Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
319 Division of Clinical Pharmacology and Toxicology, Department of Medicine, McMaster University, Hamilton, ON, Canada
320 Division of Geriatric Medicine, Department of Medicine, McMaster University, Hamilton, ON, Canada
321 Geriatric Education and Research in Aging Sciences Centre, Hamilton Health Sciences, Hamilton, ON, Canada
322 rdf:type schema:Organization
323 https://www.grid.ac/institutes/grid.415502.7 schema:alternateName St. Michael's Hospital
324 schema:name Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada
325 Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Canada
326 Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada
327 rdf:type schema:Organization
328 https://www.grid.ac/institutes/grid.418647.8 schema:alternateName Institute for Clinical Evaluative Sciences
329 schema:name Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada
330 rdf:type schema:Organization
331 https://www.grid.ac/institutes/grid.452761.3 schema:alternateName Programs for Assessment of Technology in Health Research Institute
332 schema:name Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
333 Programs for Assessment of Technology in Health (PATH), The Research Institute of St. Joe’s Hamilton, St. Joseph’s Healthcare, Hamilton, ON, Canada
334 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...