Are health risk attitude and general risk attitude associated with healthcare utilization, costs and working ability? Results from the German ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-08-30

AUTHORS

Johanna I. Lutter, Boglárka Szentes, Margarethe E. Wacker, Joachim Winter, Sebastian Wichert, Annette Peters, Rolf Holle, Reiner Leidl

ABSTRACT

BackgroundRisk attitudes influence decisions made under uncertainty. This paper investigates the association of risk attitudes with the utilization of preventive and general healthcare services, work absence and resulting costs to explore their contribution to the heterogeneity in utilization.MethodsData of 1823 individuals (56.5 ± 9.5 years), participating in the German KORA FF4 population-based cohort study (2013/2014) were analyzed. Individuals’ general and health risk attitude were measured as willingness to take risk (WTTR) on 11-point scales. Utilization of preventive and medical services and work absence was assessed and annual costs were calculated from a societal perspective. Generalized linear models with log-link function (logistic, negative-binomial and gamma regression) adjusted for age, sex, and height were used to analyze the association of WTTR with the utilizations and costs.ResultsHigher WTTR was significantly associated with lower healthcare utilization (physician visits, physical therapy, and medication intake), work absence days and indirect costs. Regarding preventive services, an overall negative correlation between WTTR and utilization was examined but this observation remained non-significant except for the outcome medical check-up. Here, higher WTTR was significantly associated with a lower probability of participation. For all associations mentioned, Odds Ratios ranged between 0.90 and 0.79, with p < 0.05. Comparing the two risk attitudes (general and regarding health) we obtained similar results regarding the directions of associations.ConclusionsWe conclude that variations in risk attitudes contribute to the heterogeneity of healthcare utilization. Thus, knowledge of their associations with utilization might help to better understand individual decision-making – especially in case of participation in preventive services. More... »

PAGES

26

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13561-019-0243-9

DOI

http://dx.doi.org/10.1186/s13561-019-0243-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1120723026

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/31471778


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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Institute for Medical Informatics, Biometry and Epidemiology, Marchioninistr 15, 81377, Munich, Germany", 
          "id": "http://www.grid.ac/institutes/grid.5252.0", 
          "name": [
            "Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany", 
            "Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Institute for Medical Informatics, Biometry and Epidemiology, Marchioninistr 15, 81377, Munich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lutter", 
        "givenName": "Johanna I.", 
        "id": "sg:person.016140675664.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016140675664.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany", 
          "id": "http://www.grid.ac/institutes/grid.4567.0", 
          "name": [
            "Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Szentes", 
        "givenName": "Bogl\u00e1rka", 
        "id": "sg:person.012354775106.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012354775106.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany", 
          "id": "http://www.grid.ac/institutes/grid.4567.0", 
          "name": [
            "Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wacker", 
        "givenName": "Margarethe E.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Economics, Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Ludwigstr 33, 80539, Munich, Germany", 
          "id": "http://www.grid.ac/institutes/grid.5252.0", 
          "name": [
            "Department of Economics, Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Ludwigstr 33, 80539, Munich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Winter", 
        "givenName": "Joachim", 
        "id": "sg:person.01142702273.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142702273.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "ifo Institute \u2013 Leibniz Institute for Economic Research at the University of Munich, Poschingerstr 5, 81679, Munich, Germany", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "ifo Institute \u2013 Leibniz Institute for Economic Research at the University of Munich, Poschingerstr 5, 81679, Munich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wichert", 
        "givenName": "Sebastian", 
        "id": "sg:person.011405125164.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011405125164.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Peters", 
        "givenName": "Annette", 
        "id": "sg:person.01117072553.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117072553.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany", 
          "id": "http://www.grid.ac/institutes/grid.4567.0", 
          "name": [
            "Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Holle", 
        "givenName": "Rolf", 
        "id": "sg:person.01215630466.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215630466.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich Center of Health Sciences, Ludwigstr 28 RG, 80539, Munich, Germany", 
          "id": "http://www.grid.ac/institutes/grid.5252.0", 
          "name": [
            "Helmholtz Zentrum M\u00fcnchen, German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany", 
            "Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich Center of Health Sciences, Ludwigstr 28 RG, 80539, Munich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Leidl", 
        "givenName": "Reiner", 
        "id": "sg:person.01167524667.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167524667.55"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf02640365", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047538315", 
          "https://doi.org/10.1007/bf02640365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10198-017-0925-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091411599", 
          "https://doi.org/10.1007/s10198-017-0925-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6963-13-278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032371027", 
          "https://doi.org/10.1186/1472-6963-13-278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40290-017-0200-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090741557", 
          "https://doi.org/10.1007/s40290-017-0200-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11187-007-9078-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038533778", 
          "https://doi.org/10.1007/s11187-007-9078-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1011109625844", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000932521", 
          "https://doi.org/10.1023/a:1011109625844"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6963-12-318", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053038724", 
          "https://doi.org/10.1186/1472-6963-12-318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10198-016-0800-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016408759", 
          "https://doi.org/10.1007/s10198-016-0800-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ajg.2016.234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037920932", 
          "https://doi.org/10.1038/ajg.2016.234"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-08-30", 
    "datePublishedReg": "2019-08-30", 
    "description": "BackgroundRisk attitudes influence decisions made under uncertainty. This paper investigates the association of risk attitudes with the utilization of preventive and general healthcare services, work absence and resulting costs to explore their contribution to the heterogeneity in utilization.MethodsData of 1823 individuals (56.5\u2009\u00b1\u20099.5\u2009years), participating in the German KORA FF4 population-based cohort study (2013/2014) were analyzed. Individuals\u2019 general and health risk attitude were measured as willingness to take risk (WTTR) on 11-point scales. Utilization of preventive and medical services and work absence was assessed and annual costs were calculated from a societal perspective. Generalized linear models with log-link function (logistic, negative-binomial and gamma regression) adjusted for age, sex, and height were used to analyze the association of WTTR with the utilizations and costs.ResultsHigher WTTR was significantly associated with lower healthcare utilization (physician visits, physical therapy, and medication intake), work absence days and indirect costs. Regarding preventive services, an overall negative correlation between WTTR and utilization was examined but this observation remained non-significant except for the outcome medical check-up. Here, higher WTTR was significantly associated with a lower probability of participation. For all associations mentioned, Odds Ratios ranged between 0.90 and 0.79, with p\u2009<\u20090.05. Comparing the two risk attitudes (general and regarding health) we obtained similar results regarding the directions of associations.ConclusionsWe conclude that variations in risk attitudes contribute to the heterogeneity of healthcare utilization. Thus, knowledge of their associations with utilization might help to better understand individual decision-making \u2013 especially in case of participation in preventive services.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s13561-019-0243-9", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1046836", 
        "issn": [
          "2191-1991"
        ], 
        "name": "Health Economics Review", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "keywords": [
      "health-risk attitudes", 
      "healthcare utilization", 
      "cohort study", 
      "preventive services", 
      "work absence", 
      "population-based cohort study", 
      "work absence days", 
      "lower healthcare utilization", 
      "general healthcare services", 
      "association of risk", 
      "log link function", 
      "direction of association", 
      "odds ratio", 
      "absence days", 
      "societal perspective", 
      "indirect costs", 
      "medical services", 
      "healthcare services", 
      "association", 
      "negative correlation", 
      "risk", 
      "annual cost", 
      "overall negative correlation", 
      "similar results", 
      "MethodsData", 
      "BackgroundRisk", 
      "individuals", 
      "low probability", 
      "age", 
      "outcomes", 
      "general risk attitude", 
      "sex", 
      "absence", 
      "study", 
      "ConclusionsWe", 
      "days", 
      "heterogeneity", 
      "influence decisions", 
      "services", 
      "attitudes", 
      "utilization", 
      "linear model", 
      "participation", 
      "cases", 
      "correlation", 
      "results", 
      "function", 
      "ability", 
      "willingness", 
      "knowledge", 
      "ratio", 
      "scale", 
      "cost", 
      "risk attitudes", 
      "case of participation", 
      "uncertainty", 
      "probability", 
      "observations", 
      "decisions", 
      "height", 
      "model", 
      "perspective", 
      "variation", 
      "direction", 
      "contribution", 
      "paper"
    ], 
    "name": "Are health risk attitude and general risk attitude associated with healthcare utilization, costs and working ability? Results from the German KORA FF4 cohort study", 
    "pagination": "26", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1120723026"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13561-019-0243-9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "31471778"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13561-019-0243-9", 
      "https://app.dimensions.ai/details/publication/pub.1120723026"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-10T10:23", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_815.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s13561-019-0243-9"
  }
]
 

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/s13561-019-0243-9'

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/s13561-019-0243-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13561-019-0243-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13561-019-0243-9'


 

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

224 TRIPLES      22 PREDICATES      101 URIs      84 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13561-019-0243-9 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author Nf630951db1174ee299d4f4e4cdcac8c3
4 schema:citation sg:pub.10.1007/bf02640365
5 sg:pub.10.1007/s10198-016-0800-7
6 sg:pub.10.1007/s10198-017-0925-3
7 sg:pub.10.1007/s11187-007-9078-6
8 sg:pub.10.1007/s40290-017-0200-z
9 sg:pub.10.1023/a:1011109625844
10 sg:pub.10.1038/ajg.2016.234
11 sg:pub.10.1186/1472-6963-12-318
12 sg:pub.10.1186/1472-6963-13-278
13 schema:datePublished 2019-08-30
14 schema:datePublishedReg 2019-08-30
15 schema:description BackgroundRisk attitudes influence decisions made under uncertainty. This paper investigates the association of risk attitudes with the utilization of preventive and general healthcare services, work absence and resulting costs to explore their contribution to the heterogeneity in utilization.MethodsData of 1823 individuals (56.5 ± 9.5 years), participating in the German KORA FF4 population-based cohort study (2013/2014) were analyzed. Individuals’ general and health risk attitude were measured as willingness to take risk (WTTR) on 11-point scales. Utilization of preventive and medical services and work absence was assessed and annual costs were calculated from a societal perspective. Generalized linear models with log-link function (logistic, negative-binomial and gamma regression) adjusted for age, sex, and height were used to analyze the association of WTTR with the utilizations and costs.ResultsHigher WTTR was significantly associated with lower healthcare utilization (physician visits, physical therapy, and medication intake), work absence days and indirect costs. Regarding preventive services, an overall negative correlation between WTTR and utilization was examined but this observation remained non-significant except for the outcome medical check-up. Here, higher WTTR was significantly associated with a lower probability of participation. For all associations mentioned, Odds Ratios ranged between 0.90 and 0.79, with p < 0.05. Comparing the two risk attitudes (general and regarding health) we obtained similar results regarding the directions of associations.ConclusionsWe conclude that variations in risk attitudes contribute to the heterogeneity of healthcare utilization. Thus, knowledge of their associations with utilization might help to better understand individual decision-making – especially in case of participation in preventive services.
16 schema:genre article
17 schema:inLanguage en
18 schema:isAccessibleForFree true
19 schema:isPartOf N6cf084e3767a4283b38747e4c66c38fd
20 Nbcf8f67c05e54f9ebb83de552d9be690
21 sg:journal.1046836
22 schema:keywords BackgroundRisk
23 ConclusionsWe
24 MethodsData
25 ability
26 absence
27 absence days
28 age
29 annual cost
30 association
31 association of risk
32 attitudes
33 case of participation
34 cases
35 cohort study
36 contribution
37 correlation
38 cost
39 days
40 decisions
41 direction
42 direction of association
43 function
44 general healthcare services
45 general risk attitude
46 health-risk attitudes
47 healthcare services
48 healthcare utilization
49 height
50 heterogeneity
51 indirect costs
52 individuals
53 influence decisions
54 knowledge
55 linear model
56 log link function
57 low probability
58 lower healthcare utilization
59 medical services
60 model
61 negative correlation
62 observations
63 odds ratio
64 outcomes
65 overall negative correlation
66 paper
67 participation
68 perspective
69 population-based cohort study
70 preventive services
71 probability
72 ratio
73 results
74 risk
75 risk attitudes
76 scale
77 services
78 sex
79 similar results
80 societal perspective
81 study
82 uncertainty
83 utilization
84 variation
85 willingness
86 work absence
87 work absence days
88 schema:name Are health risk attitude and general risk attitude associated with healthcare utilization, costs and working ability? Results from the German KORA FF4 cohort study
89 schema:pagination 26
90 schema:productId N036dd9abafb547879dd4850583ee63ea
91 N1caae4b2dd3445c89b4047816ec92b60
92 N6ef55eb6c79e4b3cafdff9ada7f138ad
93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1120723026
94 https://doi.org/10.1186/s13561-019-0243-9
95 schema:sdDatePublished 2022-05-10T10:23
96 schema:sdLicense https://scigraph.springernature.com/explorer/license/
97 schema:sdPublisher N1cc779fa1eba4b9a932704738cf431bb
98 schema:url https://doi.org/10.1186/s13561-019-0243-9
99 sgo:license sg:explorer/license/
100 sgo:sdDataset articles
101 rdf:type schema:ScholarlyArticle
102 N036dd9abafb547879dd4850583ee63ea schema:name doi
103 schema:value 10.1186/s13561-019-0243-9
104 rdf:type schema:PropertyValue
105 N1caae4b2dd3445c89b4047816ec92b60 schema:name pubmed_id
106 schema:value 31471778
107 rdf:type schema:PropertyValue
108 N1cc779fa1eba4b9a932704738cf431bb schema:name Springer Nature - SN SciGraph project
109 rdf:type schema:Organization
110 N2d1e45b79bfa4439a4a674b27191261a schema:affiliation grid-institutes:grid.4567.0
111 schema:familyName Wacker
112 schema:givenName Margarethe E.
113 rdf:type schema:Person
114 N33141ac52bde4659933271ab3a5dd53e rdf:first sg:person.01142702273.23
115 rdf:rest N88996b06448d49ae88e65f9abda6cdeb
116 N4008883044f44b188683bdf63fd78957 rdf:first N2d1e45b79bfa4439a4a674b27191261a
117 rdf:rest N33141ac52bde4659933271ab3a5dd53e
118 N59ae8bc15e8944e3a66d8068dcd15e3b rdf:first sg:person.01167524667.55
119 rdf:rest rdf:nil
120 N6cf084e3767a4283b38747e4c66c38fd schema:issueNumber 1
121 rdf:type schema:PublicationIssue
122 N6ef55eb6c79e4b3cafdff9ada7f138ad schema:name dimensions_id
123 schema:value pub.1120723026
124 rdf:type schema:PropertyValue
125 N81fba141e10644e6938bbe0a4fd9e23f rdf:first sg:person.01117072553.44
126 rdf:rest N8a0226a186864544b2546e8bbcb4929b
127 N88996b06448d49ae88e65f9abda6cdeb rdf:first sg:person.011405125164.87
128 rdf:rest N81fba141e10644e6938bbe0a4fd9e23f
129 N8a0226a186864544b2546e8bbcb4929b rdf:first sg:person.01215630466.46
130 rdf:rest N59ae8bc15e8944e3a66d8068dcd15e3b
131 Nbcf8f67c05e54f9ebb83de552d9be690 schema:volumeNumber 9
132 rdf:type schema:PublicationVolume
133 Ne0c814a02a5f4b2fbfa41e5dbca0d340 rdf:first sg:person.012354775106.03
134 rdf:rest N4008883044f44b188683bdf63fd78957
135 Nf630951db1174ee299d4f4e4cdcac8c3 rdf:first sg:person.016140675664.17
136 rdf:rest Ne0c814a02a5f4b2fbfa41e5dbca0d340
137 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
138 schema:name Medical and Health Sciences
139 rdf:type schema:DefinedTerm
140 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
141 schema:name Public Health and Health Services
142 rdf:type schema:DefinedTerm
143 sg:journal.1046836 schema:issn 2191-1991
144 schema:name Health Economics Review
145 schema:publisher Springer Nature
146 rdf:type schema:Periodical
147 sg:person.01117072553.44 schema:affiliation grid-institutes:None
148 schema:familyName Peters
149 schema:givenName Annette
150 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01117072553.44
151 rdf:type schema:Person
152 sg:person.011405125164.87 schema:affiliation grid-institutes:None
153 schema:familyName Wichert
154 schema:givenName Sebastian
155 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011405125164.87
156 rdf:type schema:Person
157 sg:person.01142702273.23 schema:affiliation grid-institutes:grid.5252.0
158 schema:familyName Winter
159 schema:givenName Joachim
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01142702273.23
161 rdf:type schema:Person
162 sg:person.01167524667.55 schema:affiliation grid-institutes:grid.5252.0
163 schema:familyName Leidl
164 schema:givenName Reiner
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01167524667.55
166 rdf:type schema:Person
167 sg:person.01215630466.46 schema:affiliation grid-institutes:grid.4567.0
168 schema:familyName Holle
169 schema:givenName Rolf
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215630466.46
171 rdf:type schema:Person
172 sg:person.012354775106.03 schema:affiliation grid-institutes:grid.4567.0
173 schema:familyName Szentes
174 schema:givenName Boglárka
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012354775106.03
176 rdf:type schema:Person
177 sg:person.016140675664.17 schema:affiliation grid-institutes:grid.5252.0
178 schema:familyName Lutter
179 schema:givenName Johanna I.
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016140675664.17
181 rdf:type schema:Person
182 sg:pub.10.1007/bf02640365 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047538315
183 https://doi.org/10.1007/bf02640365
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s10198-016-0800-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016408759
186 https://doi.org/10.1007/s10198-016-0800-7
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/s10198-017-0925-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091411599
189 https://doi.org/10.1007/s10198-017-0925-3
190 rdf:type schema:CreativeWork
191 sg:pub.10.1007/s11187-007-9078-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038533778
192 https://doi.org/10.1007/s11187-007-9078-6
193 rdf:type schema:CreativeWork
194 sg:pub.10.1007/s40290-017-0200-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1090741557
195 https://doi.org/10.1007/s40290-017-0200-z
196 rdf:type schema:CreativeWork
197 sg:pub.10.1023/a:1011109625844 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000932521
198 https://doi.org/10.1023/a:1011109625844
199 rdf:type schema:CreativeWork
200 sg:pub.10.1038/ajg.2016.234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037920932
201 https://doi.org/10.1038/ajg.2016.234
202 rdf:type schema:CreativeWork
203 sg:pub.10.1186/1472-6963-12-318 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053038724
204 https://doi.org/10.1186/1472-6963-12-318
205 rdf:type schema:CreativeWork
206 sg:pub.10.1186/1472-6963-13-278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032371027
207 https://doi.org/10.1186/1472-6963-13-278
208 rdf:type schema:CreativeWork
209 grid-institutes:None schema:alternateName Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany
210 ifo Institute – Leibniz Institute for Economic Research at the University of Munich, Poschingerstr 5, 81679, Munich, Germany
211 schema:name Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Epidemiology, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany
212 ifo Institute – Leibniz Institute for Economic Research at the University of Munich, Poschingerstr 5, 81679, Munich, Germany
213 rdf:type schema:Organization
214 grid-institutes:grid.4567.0 schema:alternateName Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany
215 schema:name Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany
216 rdf:type schema:Organization
217 grid-institutes:grid.5252.0 schema:alternateName Department of Economics, Ludwig-Maximilians-Universität München, Ludwigstr 33, 80539, Munich, Germany
218 Ludwig-Maximilians-Universität München, Institute for Medical Informatics, Biometry and Epidemiology, Marchioninistr 15, 81377, Munich, Germany
219 Ludwig-Maximilians-Universität München, Munich Center of Health Sciences, Ludwigstr 28 RG, 80539, Munich, Germany
220 schema:name Department of Economics, Ludwig-Maximilians-Universität München, Ludwigstr 33, 80539, Munich, Germany
221 Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Institute of Health Economics and Health Care Management, Ingolstaedter Landstr 1, 85764, Neuherberg, Germany
222 Ludwig-Maximilians-Universität München, Institute for Medical Informatics, Biometry and Epidemiology, Marchioninistr 15, 81377, Munich, Germany
223 Ludwig-Maximilians-Universität München, Munich Center of Health Sciences, Ludwigstr 28 RG, 80539, Munich, Germany
224 rdf:type schema:Organization
 




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


...