Improving Patients’ Choice of Clinician by Including Roll-up Measures in Public Healthcare Quality Reports: an Online Experiment View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

Jennifer L. Cerully, Andrew M. Parker, Lise Rybowski, Mark Schlesinger, Dale Shaller, Rachel Grob, Melissa L. Finucane, Steven C. Martino

ABSTRACT

BACKGROUND: Public reports on healthcare quality typically include complex data. To lower the cognitive burden of interpreting these data, some report designers create summary, or roll-up, measures combining multiple indicators of quality into one score. Little is known about how the availability of roll-ups affects clinician choice. OBJECTIVE: To determine how presenting quality scores at different levels of aggregation affects patients' clinician choices. DESIGN: We conducted a simulated clinician-choice experiment, randomizing participants to three versions of a public reporting website and comparing their clinician choices. One version aggregated all clinician-level quality measures into roll-ups, the second provided disaggregated (drill-down) scores only, and the third offered both roll-ups and drill-downs. PARTICIPANTS: Five hundred fifty panelists drawn from a probability-based Internet panel. MAIN MEASURES: We assessed the amount of effort participants exerted by tracking the length of time spent on the website and the number of concrete actions taken on the website (e.g., clicking items). We evaluated decision quality by measuring whether participants selected a clinician who performed more poorly than others and incongruence between participants' stated preferences for dimensions of quality and their chosen clinician's performance on those dimensions. KEY RESULTS: Participants seeing drill-downs alone (mean = 14.9) or with roll-ups (mean = 19.2) took more actions than those who saw roll-ups alone (mean = 10.5) (ps < 0.05). However, participants seeing only drill-downs made poorer choices than those who saw roll-ups alone or with drill-downs. More participants seeing drill-downs chose a clinician who was outperformed (36.3% versus 23.4% [roll-up] and 25.6% [drill-down + roll-up], ps < 0.05) and made choices incongruent with stated preferences (51.2% versus 45.6% [roll-up] and 47.5% [drill-down + roll-up], ps < 0.05). The distinction between roll-up and drill-down was somewhat stronger for sicker participants. CONCLUSIONS: Our results suggest that roll-ups in healthcare quality reports, alone or as a complement to drill-downs, can help patients make better decisions for themselves. More... »

PAGES

243-249

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11606-018-4725-y

DOI

http://dx.doi.org/10.1007/s11606-018-4725-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1109919948

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30446909


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/2008/1402", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Economics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/14", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Economics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "RAND Corporation", 
          "id": "https://www.grid.ac/institutes/grid.34474.30", 
          "name": [
            "RAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cerully", 
        "givenName": "Jennifer L.", 
        "id": "sg:person.010036151153.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010036151153.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RAND Corporation", 
          "id": "https://www.grid.ac/institutes/grid.34474.30", 
          "name": [
            "RAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parker", 
        "givenName": "Andrew M.", 
        "id": "sg:person.01366055151.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366055151.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Severyn Group, Ashburn, VA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rybowski", 
        "givenName": "Lise", 
        "id": "sg:person.012306021734.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012306021734.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yale University", 
          "id": "https://www.grid.ac/institutes/grid.47100.32", 
          "name": [
            "Yale University, New Haven, CT, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schlesinger", 
        "givenName": "Mark", 
        "id": "sg:person.0576351244.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576351244.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Shaller Consulting Group, Chesterfield, MI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shaller", 
        "givenName": "Dale", 
        "id": "sg:person.0663606124.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663606124.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Wisconsin\u2013Madison", 
          "id": "https://www.grid.ac/institutes/grid.14003.36", 
          "name": [
            "University of Wisconsin\u2013Madison, Madison, WI, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Grob", 
        "givenName": "Rachel", 
        "id": "sg:person.01315571103.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315571103.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RAND Corporation", 
          "id": "https://www.grid.ac/institutes/grid.34474.30", 
          "name": [
            "RAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Finucane", 
        "givenName": "Melissa L.", 
        "id": "sg:person.01224425171.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224425171.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "RAND Corporation", 
          "id": "https://www.grid.ac/institutes/grid.34474.30", 
          "name": [
            "RAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Martino", 
        "givenName": "Steven C.", 
        "id": "sg:person.01031072334.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031072334.58"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1146/annurev.publhealth.24.100901.141005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006672241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0951484814546959", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007302968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0951484814546959", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007302968"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhealeco.2010.12.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011100070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mlr.0b013e31826c84e1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016170669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mlr.0b013e31826c84e1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016170669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1377/hlthaff.2011.1197", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019911084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1475-6773.12582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024727082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0166-4115(08)62243-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026636897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1475-6773.12503", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030912801"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jebo.2015.07.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032462909"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pec.2015.07.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034500019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1377/hlthaff.2011.0003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034832704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1475-6773.12540", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040073249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5888/pcd11.130389", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048514310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1077558713485134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053800505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1077558713485134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053800505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1077558713496321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053920315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1077558713496321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053920315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1062860606286263", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063940940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/1062860606286263", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063940940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1377/hlthaff.2015.1654", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067171680"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075208660", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078909192", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1091248297", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1109392417", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02", 
    "datePublishedReg": "2019-02-01", 
    "description": "BACKGROUND: Public reports on healthcare quality typically include complex data. To lower the cognitive burden of interpreting these data, some report designers create summary, or roll-up, measures combining multiple indicators of quality into one score. Little is known about how the availability of roll-ups affects clinician choice.\nOBJECTIVE: To determine how presenting quality scores at different levels of aggregation affects patients' clinician choices.\nDESIGN: We conducted a simulated clinician-choice experiment, randomizing participants to three versions of a public reporting website and comparing their clinician choices. One version aggregated all clinician-level quality measures into roll-ups, the second provided disaggregated (drill-down) scores only, and the third offered both roll-ups and drill-downs.\nPARTICIPANTS: Five hundred fifty panelists drawn from a probability-based Internet panel.\nMAIN MEASURES: We assessed the amount of effort participants exerted by tracking the length of time spent on the website and the number of concrete actions taken on the website (e.g., clicking items). We evaluated decision quality by measuring whether participants selected a clinician who performed more poorly than others and incongruence between participants' stated preferences for dimensions of quality and their chosen clinician's performance on those dimensions.\nKEY RESULTS: Participants seeing drill-downs alone (mean\u2009=\u200914.9) or with roll-ups (mean\u2009=\u200919.2) took more actions than those who saw roll-ups alone (mean\u2009=\u200910.5) (ps\u2009<\u20090.05). However, participants seeing only drill-downs made poorer choices than those who saw roll-ups alone or with drill-downs. More participants seeing drill-downs chose a clinician who was outperformed (36.3% versus 23.4% [roll-up] and 25.6% [drill-down + roll-up], ps\u2009<\u20090.05) and made choices incongruent with stated preferences (51.2% versus 45.6% [roll-up] and 47.5% [drill-down + roll-up], ps\u2009<\u20090.05). The distinction between roll-up and drill-down was somewhat stronger for sicker participants.\nCONCLUSIONS: Our results suggest that roll-ups in healthcare quality reports, alone or as a complement to drill-downs, can help patients make better decisions for themselves.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11606-018-4725-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.5475983", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1096256", 
        "issn": [
          "0884-8734", 
          "1525-1497"
        ], 
        "name": "Journal of General Internal Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "34"
      }
    ], 
    "name": "Improving Patients\u2019 Choice of Clinician by Including Roll-up Measures in Public Healthcare Quality Reports: an Online Experiment", 
    "pagination": "243-249", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "43e45744989683207c1f1969fd51199669fe672c598cc51327ebcfad5e1329e1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30446909"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8605834"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11606-018-4725-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1109919948"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11606-018-4725-y", 
      "https://app.dimensions.ai/details/publication/pub.1109919948"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:20", 
    "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/v90/0000000368_0000000368/records_78968_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11606-018-4725-y"
  }
]
 

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.10.1007/s11606-018-4725-y'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11606-018-4725-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11606-018-4725-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11606-018-4725-y'


 

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

189 TRIPLES      21 PREDICATES      50 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11606-018-4725-y schema:about anzsrc-for:14
2 anzsrc-for:1402
3 schema:author Na1c2fe26e76745c48a73ac542782ff67
4 schema:citation https://app.dimensions.ai/details/publication/pub.1075208660
5 https://app.dimensions.ai/details/publication/pub.1078909192
6 https://app.dimensions.ai/details/publication/pub.1091248297
7 https://app.dimensions.ai/details/publication/pub.1109392417
8 https://doi.org/10.1016/j.jebo.2015.07.009
9 https://doi.org/10.1016/j.jhealeco.2010.12.008
10 https://doi.org/10.1016/j.pec.2015.07.030
11 https://doi.org/10.1016/s0166-4115(08)62243-8
12 https://doi.org/10.1097/mlr.0b013e31826c84e1
13 https://doi.org/10.1111/1475-6773.12503
14 https://doi.org/10.1111/1475-6773.12540
15 https://doi.org/10.1111/1475-6773.12582
16 https://doi.org/10.1146/annurev.publhealth.24.100901.141005
17 https://doi.org/10.1177/0951484814546959
18 https://doi.org/10.1177/1062860606286263
19 https://doi.org/10.1177/1077558713485134
20 https://doi.org/10.1177/1077558713496321
21 https://doi.org/10.1377/hlthaff.2011.0003
22 https://doi.org/10.1377/hlthaff.2011.1197
23 https://doi.org/10.1377/hlthaff.2015.1654
24 https://doi.org/10.5888/pcd11.130389
25 schema:datePublished 2019-02
26 schema:datePublishedReg 2019-02-01
27 schema:description BACKGROUND: Public reports on healthcare quality typically include complex data. To lower the cognitive burden of interpreting these data, some report designers create summary, or roll-up, measures combining multiple indicators of quality into one score. Little is known about how the availability of roll-ups affects clinician choice. OBJECTIVE: To determine how presenting quality scores at different levels of aggregation affects patients' clinician choices. DESIGN: We conducted a simulated clinician-choice experiment, randomizing participants to three versions of a public reporting website and comparing their clinician choices. One version aggregated all clinician-level quality measures into roll-ups, the second provided disaggregated (drill-down) scores only, and the third offered both roll-ups and drill-downs. PARTICIPANTS: Five hundred fifty panelists drawn from a probability-based Internet panel. MAIN MEASURES: We assessed the amount of effort participants exerted by tracking the length of time spent on the website and the number of concrete actions taken on the website (e.g., clicking items). We evaluated decision quality by measuring whether participants selected a clinician who performed more poorly than others and incongruence between participants' stated preferences for dimensions of quality and their chosen clinician's performance on those dimensions. KEY RESULTS: Participants seeing drill-downs alone (mean = 14.9) or with roll-ups (mean = 19.2) took more actions than those who saw roll-ups alone (mean = 10.5) (ps < 0.05). However, participants seeing only drill-downs made poorer choices than those who saw roll-ups alone or with drill-downs. More participants seeing drill-downs chose a clinician who was outperformed (36.3% versus 23.4% [roll-up] and 25.6% [drill-down + roll-up], ps < 0.05) and made choices incongruent with stated preferences (51.2% versus 45.6% [roll-up] and 47.5% [drill-down + roll-up], ps < 0.05). The distinction between roll-up and drill-down was somewhat stronger for sicker participants. CONCLUSIONS: Our results suggest that roll-ups in healthcare quality reports, alone or as a complement to drill-downs, can help patients make better decisions for themselves.
28 schema:genre research_article
29 schema:inLanguage en
30 schema:isAccessibleForFree false
31 schema:isPartOf N343eb4e58adb4cedb05e9a938ea76254
32 N8d8506a235e5468cb5e38da00ea5148e
33 sg:journal.1096256
34 schema:name Improving Patients’ Choice of Clinician by Including Roll-up Measures in Public Healthcare Quality Reports: an Online Experiment
35 schema:pagination 243-249
36 schema:productId N2ca6d64e29064b0fbc502049befd9731
37 Na97b7803de8b4d65b86c5ce1c46d07ed
38 Nc8075dde8c584838ad133cab37cdf305
39 Ne4b2a5f531ac4e88b61dc7002f855e96
40 Ne50bc7a2cafd441d9fa6c13c8528c06b
41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109919948
42 https://doi.org/10.1007/s11606-018-4725-y
43 schema:sdDatePublished 2019-04-11T13:20
44 schema:sdLicense https://scigraph.springernature.com/explorer/license/
45 schema:sdPublisher Nb5dd2f213dec4ef28447b302f026b049
46 schema:url https://link.springer.com/10.1007%2Fs11606-018-4725-y
47 sgo:license sg:explorer/license/
48 sgo:sdDataset articles
49 rdf:type schema:ScholarlyArticle
50 N0a38e8341a7146f79ba1515a39dff093 schema:name Shaller Consulting Group, Chesterfield, MI, USA
51 rdf:type schema:Organization
52 N2106d80d79c541b197f9753f86aa1803 rdf:first sg:person.012306021734.46
53 rdf:rest N4b54cdbe74e64548bca9a1898348b10f
54 N2ca6d64e29064b0fbc502049befd9731 schema:name nlm_unique_id
55 schema:value 8605834
56 rdf:type schema:PropertyValue
57 N343eb4e58adb4cedb05e9a938ea76254 schema:issueNumber 2
58 rdf:type schema:PublicationIssue
59 N4a095ee2d2cb4ddba91d6572fbf5917c rdf:first sg:person.01031072334.58
60 rdf:rest rdf:nil
61 N4b54cdbe74e64548bca9a1898348b10f rdf:first sg:person.0576351244.04
62 rdf:rest Ne30113ebacc54dc4a9f966250974763c
63 N8d8506a235e5468cb5e38da00ea5148e schema:volumeNumber 34
64 rdf:type schema:PublicationVolume
65 N8d95fc367747480c96cee0081da18f1f rdf:first sg:person.01366055151.27
66 rdf:rest N2106d80d79c541b197f9753f86aa1803
67 Na1c2fe26e76745c48a73ac542782ff67 rdf:first sg:person.010036151153.75
68 rdf:rest N8d95fc367747480c96cee0081da18f1f
69 Na97b7803de8b4d65b86c5ce1c46d07ed schema:name dimensions_id
70 schema:value pub.1109919948
71 rdf:type schema:PropertyValue
72 Nb5dd2f213dec4ef28447b302f026b049 schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 Nc8075dde8c584838ad133cab37cdf305 schema:name readcube_id
75 schema:value 43e45744989683207c1f1969fd51199669fe672c598cc51327ebcfad5e1329e1
76 rdf:type schema:PropertyValue
77 Ndbfc95e86591426ea1a4cc0a1db72b89 rdf:first sg:person.01315571103.07
78 rdf:rest Ne9684a8aa0d54abfb56052b142fc3203
79 Ne30113ebacc54dc4a9f966250974763c rdf:first sg:person.0663606124.28
80 rdf:rest Ndbfc95e86591426ea1a4cc0a1db72b89
81 Ne3b3e4f3fdb64426a4105dd43a636ed6 schema:name Severyn Group, Ashburn, VA, USA
82 rdf:type schema:Organization
83 Ne4b2a5f531ac4e88b61dc7002f855e96 schema:name pubmed_id
84 schema:value 30446909
85 rdf:type schema:PropertyValue
86 Ne50bc7a2cafd441d9fa6c13c8528c06b schema:name doi
87 schema:value 10.1007/s11606-018-4725-y
88 rdf:type schema:PropertyValue
89 Ne9684a8aa0d54abfb56052b142fc3203 rdf:first sg:person.01224425171.51
90 rdf:rest N4a095ee2d2cb4ddba91d6572fbf5917c
91 anzsrc-for:14 schema:inDefinedTermSet anzsrc-for:
92 schema:name Economics
93 rdf:type schema:DefinedTerm
94 anzsrc-for:1402 schema:inDefinedTermSet anzsrc-for:
95 schema:name Applied Economics
96 rdf:type schema:DefinedTerm
97 sg:grant.5475983 http://pending.schema.org/fundedItem sg:pub.10.1007/s11606-018-4725-y
98 rdf:type schema:MonetaryGrant
99 sg:journal.1096256 schema:issn 0884-8734
100 1525-1497
101 schema:name Journal of General Internal Medicine
102 rdf:type schema:Periodical
103 sg:person.010036151153.75 schema:affiliation https://www.grid.ac/institutes/grid.34474.30
104 schema:familyName Cerully
105 schema:givenName Jennifer L.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010036151153.75
107 rdf:type schema:Person
108 sg:person.01031072334.58 schema:affiliation https://www.grid.ac/institutes/grid.34474.30
109 schema:familyName Martino
110 schema:givenName Steven C.
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031072334.58
112 rdf:type schema:Person
113 sg:person.01224425171.51 schema:affiliation https://www.grid.ac/institutes/grid.34474.30
114 schema:familyName Finucane
115 schema:givenName Melissa L.
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01224425171.51
117 rdf:type schema:Person
118 sg:person.012306021734.46 schema:affiliation Ne3b3e4f3fdb64426a4105dd43a636ed6
119 schema:familyName Rybowski
120 schema:givenName Lise
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012306021734.46
122 rdf:type schema:Person
123 sg:person.01315571103.07 schema:affiliation https://www.grid.ac/institutes/grid.14003.36
124 schema:familyName Grob
125 schema:givenName Rachel
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01315571103.07
127 rdf:type schema:Person
128 sg:person.01366055151.27 schema:affiliation https://www.grid.ac/institutes/grid.34474.30
129 schema:familyName Parker
130 schema:givenName Andrew M.
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366055151.27
132 rdf:type schema:Person
133 sg:person.0576351244.04 schema:affiliation https://www.grid.ac/institutes/grid.47100.32
134 schema:familyName Schlesinger
135 schema:givenName Mark
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576351244.04
137 rdf:type schema:Person
138 sg:person.0663606124.28 schema:affiliation N0a38e8341a7146f79ba1515a39dff093
139 schema:familyName Shaller
140 schema:givenName Dale
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0663606124.28
142 rdf:type schema:Person
143 https://app.dimensions.ai/details/publication/pub.1075208660 schema:CreativeWork
144 https://app.dimensions.ai/details/publication/pub.1078909192 schema:CreativeWork
145 https://app.dimensions.ai/details/publication/pub.1091248297 schema:CreativeWork
146 https://app.dimensions.ai/details/publication/pub.1109392417 schema:CreativeWork
147 https://doi.org/10.1016/j.jebo.2015.07.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032462909
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.jhealeco.2010.12.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011100070
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.pec.2015.07.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034500019
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/s0166-4115(08)62243-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026636897
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1097/mlr.0b013e31826c84e1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016170669
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1111/1475-6773.12503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030912801
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1111/1475-6773.12540 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040073249
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1111/1475-6773.12582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024727082
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1146/annurev.publhealth.24.100901.141005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006672241
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1177/0951484814546959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007302968
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1177/1062860606286263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063940940
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1177/1077558713485134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053800505
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1177/1077558713496321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053920315
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1377/hlthaff.2011.0003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034832704
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1377/hlthaff.2011.1197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019911084
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1377/hlthaff.2015.1654 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067171680
178 rdf:type schema:CreativeWork
179 https://doi.org/10.5888/pcd11.130389 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048514310
180 rdf:type schema:CreativeWork
181 https://www.grid.ac/institutes/grid.14003.36 schema:alternateName University of Wisconsin–Madison
182 schema:name University of Wisconsin–Madison, Madison, WI, USA
183 rdf:type schema:Organization
184 https://www.grid.ac/institutes/grid.34474.30 schema:alternateName RAND Corporation
185 schema:name RAND Corporation, 4570 Fifth Avenue, Suite 600, Pittsburgh, PA, USA
186 rdf:type schema:Organization
187 https://www.grid.ac/institutes/grid.47100.32 schema:alternateName Yale University
188 schema:name Yale University, New Haven, CT, USA
189 rdf:type schema:Organization
 




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


...