European health examination surveys – a tool for collecting objective information about the health of the population View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Hanna Tolonen, Päivikki Koponen, Ala’a Al-kerwi, Nada Capkova, Simona Giampaoli, Jennifer Mindell, Laura Paalanen, Maria Ruiz-Castell, Antonia Trichopoulou, Kari Kuulasmaa, for the EHES Network

ABSTRACT

Background: Representative and reliable data on health and health determinants of the population and population sub-groups are needed for evidence-informed policy making; planning and evaluation of prevention programmes; and research. Health examination surveys (HESs) including questionnaires, objective health measurements and analysis of biological samples, provide information on many health indicators that are available not at all or less reliably or completely through administrative registers or health interview surveys. Methods: Standardized cross-sectional HESs were already conducted in the 1980's and 1990's, in the framework of the WHO MONICA Project. The methodology was developed and finally, in 2010-2012, a European Health Examination Survey (EHES) Pilot Project was conducted. During this pilot phase, an EHES Coordinating Centre (EHES CC, formerly EHES Reference Centre) was established. Standardized protocols, guidelines and quality control procedures were prepared and tested in 12 countries which conducted pilot surveys, demonstrating the feasibility of standardized HES data collection in the European Union (EU).Currently, the EHES CC operates at the National Institute for Health and Welfare (THL), Finland. Its activities include maintaining and developing the standardized protocols, guidelines and training programme; maintaining the EHES network; providing professional support for countries planning and organizing their national HESs; external quality assessment for surveys organized in the EU Member States; and development of a centralized database and joint reporting system for HES data. Results: An increasing number of EU Member States are conducting national HESs, demonstrating a strong need for such surveys as part of the national health monitoring systems. Standardization of the data collection is essential to ensure that HES data are comparable across countries and over time. The work of the EHES CC helps to ensure the quality and comparability of HES data across the EU. Conclusions: HES data have been used for health monitoring and identifying public health problems; to develop health and prevention programmes; to support health policies and preparation of health-related legislation and regulations; and to develop clinical treatment guidelines and population reference values. HESs have also been utilized to prepare health measurement tools and diagnostic methods; in training and research and to increase health awareness among population. More... »

PAGES

38

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13690-018-0282-4

DOI

http://dx.doi.org/10.1186/s13690-018-0282-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105110934

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29988297


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": "National Institute for Health and Welfare", 
          "id": "https://www.grid.ac/institutes/grid.14758.3f", 
          "name": [
            "Department of Public Health Solutions, National Institute for Health and Welfare (THL), P.O. Box 30, FI-00271, Helsinki, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tolonen", 
        "givenName": "Hanna", 
        "id": "sg:person.0766503346.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766503346.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Health and Welfare", 
          "id": "https://www.grid.ac/institutes/grid.14758.3f", 
          "name": [
            "Department of Public Health Solutions, National Institute for Health and Welfare (THL), P.O. Box 30, FI-00271, Helsinki, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Koponen", 
        "givenName": "P\u00e4ivikki", 
        "id": "sg:person.01277503760.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277503760.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Luxembourg Institute of Health", 
          "id": "https://www.grid.ac/institutes/grid.451012.3", 
          "name": [
            "Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Al-kerwi", 
        "givenName": "Ala\u2019a", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Public Health", 
          "id": "https://www.grid.ac/institutes/grid.425485.a", 
          "name": [
            "Environmental and Population Health Monitoring Centre, National Institute of Public Health, Prague, Czech Republic"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Capkova", 
        "givenName": "Nada", 
        "id": "sg:person.01070647520.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070647520.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Istituto Superiore di Sanit\u00e0", 
          "id": "https://www.grid.ac/institutes/grid.416651.1", 
          "name": [
            "Department of Cardiovascular, dysmetabolic and ageing-associated diseases, Istituto Superiore di Sanit\u00e0 (ISS), Rome, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Giampaoli", 
        "givenName": "Simona", 
        "id": "sg:person.01156165716.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156165716.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University College London", 
          "id": "https://www.grid.ac/institutes/grid.83440.3b", 
          "name": [
            "UCL, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mindell", 
        "givenName": "Jennifer", 
        "id": "sg:person.01136035470.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136035470.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Health and Welfare", 
          "id": "https://www.grid.ac/institutes/grid.14758.3f", 
          "name": [
            "Department of Public Health Solutions, National Institute for Health and Welfare (THL), P.O. Box 30, FI-00271, Helsinki, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Paalanen", 
        "givenName": "Laura", 
        "id": "sg:person.0721660120.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721660120.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Luxembourg Institute of Health", 
          "id": "https://www.grid.ac/institutes/grid.451012.3", 
          "name": [
            "Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ruiz-Castell", 
        "givenName": "Maria", 
        "id": "sg:person.0731624375.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731624375.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hellenic Health Foundation", 
          "id": "https://www.grid.ac/institutes/grid.424637.0", 
          "name": [
            "Hellenic Health Foundation, Athens, Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Trichopoulou", 
        "givenName": "Antonia", 
        "id": "sg:person.01017060476.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017060476.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute for Health and Welfare", 
          "id": "https://www.grid.ac/institutes/grid.14758.3f", 
          "name": [
            "Department of Public Health Solutions, National Institute for Health and Welfare (THL), P.O. Box 30, FI-00271, Helsinki, Finland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuulasmaa", 
        "givenName": "Kari", 
        "id": "sg:person.01255257303.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255257303.12"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "for the EHES Network", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.numecd.2011.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000252293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/2049-3258-72-24", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000379057", 
          "https://doi.org/10.1186/2049-3258-72-24"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-12-730", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001224814", 
          "https://doi.org/10.1186/1471-2458-12-730"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/2047487315589011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003093529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/2047487315589011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003093529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2891-12-143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004188989", 
          "https://doi.org/10.1186/1475-2891-12-143"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/md.0000000000004758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010429017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/md.0000000000004758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010429017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/md.0000000000004758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010429017"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2903/j.efsa.2014.3944", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012444836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0007114512000232", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014751167"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-11-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017119212", 
          "https://doi.org/10.1186/1471-2458-11-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/0778-7367-70-20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020462540", 
          "https://doi.org/10.1186/0778-7367-70-20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dys168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024550193"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/dyh327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024905182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/nu7085308", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031347125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1368980016000227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034135515"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-10-468", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036444285", 
          "https://doi.org/10.1186/1471-2458-10-468"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/0778-7367-71-12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037066638", 
          "https://doi.org/10.1186/0778-7367-71-12"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.puhe.2015.11.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037231380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.puhe.2015.10.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038612918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurpub/ckt107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039222525"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurpub/cku074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042354395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/obr.12024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043526613"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12874-015-0020-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046156823", 
          "https://doi.org/10.1186/s12874-015-0020-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12874-015-0020-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046156823", 
          "https://doi.org/10.1186/s12874-015-0020-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurpub/ckw271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059578753"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.hjr.0000277988.18096.3b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060330315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.hjr.0000277988.18096.3b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060330315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080722982", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.21101/hygiena.a1511", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085245180"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "Background: Representative and reliable data on health and health determinants of the population and population sub-groups are needed for evidence-informed policy making; planning and evaluation of prevention programmes; and research. Health examination surveys (HESs) including questionnaires, objective health measurements and analysis of biological samples, provide information on many health indicators that are available not at all or less reliably or completely through administrative registers or health interview surveys.\nMethods: Standardized cross-sectional HESs were already conducted in the 1980's and 1990's, in the framework of the WHO MONICA Project. The methodology was developed and finally, in 2010-2012, a European Health Examination Survey (EHES) Pilot Project was conducted. During this pilot phase, an EHES Coordinating Centre (EHES CC, formerly EHES Reference Centre) was established. Standardized protocols, guidelines and quality control procedures were prepared and tested in 12 countries which conducted pilot surveys, demonstrating the feasibility of standardized HES data collection in the European Union (EU).Currently, the EHES CC operates at the National Institute for Health and Welfare (THL), Finland. Its activities include maintaining and developing the standardized protocols, guidelines and training programme; maintaining the EHES network; providing professional support for countries planning and organizing their national HESs; external quality assessment for surveys organized in the EU Member States; and development of a centralized database and joint reporting system for HES data.\nResults: An increasing number of EU Member States are conducting national HESs, demonstrating a strong need for such surveys as part of the national health monitoring systems. Standardization of the data collection is essential to ensure that HES data are comparable across countries and over time. The work of the EHES CC helps to ensure the quality and comparability of HES data across the EU.\nConclusions: HES data have been used for health monitoring and identifying public health problems; to develop health and prevention programmes; to support health policies and preparation of health-related legislation and regulations; and to develop clinical treatment guidelines and population reference values. HESs have also been utilized to prepare health measurement tools and diagnostic methods; in training and research and to increase health awareness among population.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13690-018-0282-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.3777542", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1093892", 
        "issn": [
          "0778-7367", 
          "2049-3258"
        ], 
        "name": "Archives of Public Health", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "76"
      }
    ], 
    "name": "European health examination surveys \u2013 a tool for collecting objective information about the health of the population", 
    "pagination": "38", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "3f318121a8cc3ac0915e2b6e8498b3a61a487ea217247c74302bdd103a54103c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29988297"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9208826"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13690-018-0282-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105110934"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13690-018-0282-4", 
      "https://app.dimensions.ai/details/publication/pub.1105110934"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:19", 
    "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_8660_00000571.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13690-018-0282-4"
  }
]
 

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/s13690-018-0282-4'

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/s13690-018-0282-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13690-018-0282-4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13690-018-0282-4'


 

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

237 TRIPLES      21 PREDICATES      55 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13690-018-0282-4 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N7d00f67dbd234499811ea684688c950a
4 schema:citation sg:pub.10.1186/0778-7367-70-20
5 sg:pub.10.1186/0778-7367-71-12
6 sg:pub.10.1186/1471-2458-10-468
7 sg:pub.10.1186/1471-2458-11-4
8 sg:pub.10.1186/1471-2458-12-730
9 sg:pub.10.1186/1475-2891-12-143
10 sg:pub.10.1186/2049-3258-72-24
11 sg:pub.10.1186/s12874-015-0020-3
12 https://app.dimensions.ai/details/publication/pub.1080722982
13 https://doi.org/10.1016/j.numecd.2011.10.004
14 https://doi.org/10.1016/j.puhe.2015.10.035
15 https://doi.org/10.1016/j.puhe.2015.11.022
16 https://doi.org/10.1017/s0007114512000232
17 https://doi.org/10.1017/s1368980016000227
18 https://doi.org/10.1093/eurpub/ckt107
19 https://doi.org/10.1093/eurpub/cku074
20 https://doi.org/10.1093/eurpub/ckw271
21 https://doi.org/10.1093/ije/dyh327
22 https://doi.org/10.1093/ije/dys168
23 https://doi.org/10.1097/01.hjr.0000277988.18096.3b
24 https://doi.org/10.1097/md.0000000000004758
25 https://doi.org/10.1111/obr.12024
26 https://doi.org/10.1177/2047487315589011
27 https://doi.org/10.21101/hygiena.a1511
28 https://doi.org/10.2903/j.efsa.2014.3944
29 https://doi.org/10.3390/nu7085308
30 schema:datePublished 2018-12
31 schema:datePublishedReg 2018-12-01
32 schema:description Background: Representative and reliable data on health and health determinants of the population and population sub-groups are needed for evidence-informed policy making; planning and evaluation of prevention programmes; and research. Health examination surveys (HESs) including questionnaires, objective health measurements and analysis of biological samples, provide information on many health indicators that are available not at all or less reliably or completely through administrative registers or health interview surveys. Methods: Standardized cross-sectional HESs were already conducted in the 1980's and 1990's, in the framework of the WHO MONICA Project. The methodology was developed and finally, in 2010-2012, a European Health Examination Survey (EHES) Pilot Project was conducted. During this pilot phase, an EHES Coordinating Centre (EHES CC, formerly EHES Reference Centre) was established. Standardized protocols, guidelines and quality control procedures were prepared and tested in 12 countries which conducted pilot surveys, demonstrating the feasibility of standardized HES data collection in the European Union (EU).Currently, the EHES CC operates at the National Institute for Health and Welfare (THL), Finland. Its activities include maintaining and developing the standardized protocols, guidelines and training programme; maintaining the EHES network; providing professional support for countries planning and organizing their national HESs; external quality assessment for surveys organized in the EU Member States; and development of a centralized database and joint reporting system for HES data. Results: An increasing number of EU Member States are conducting national HESs, demonstrating a strong need for such surveys as part of the national health monitoring systems. Standardization of the data collection is essential to ensure that HES data are comparable across countries and over time. The work of the EHES CC helps to ensure the quality and comparability of HES data across the EU. Conclusions: HES data have been used for health monitoring and identifying public health problems; to develop health and prevention programmes; to support health policies and preparation of health-related legislation and regulations; and to develop clinical treatment guidelines and population reference values. HESs have also been utilized to prepare health measurement tools and diagnostic methods; in training and research and to increase health awareness among population.
33 schema:genre research_article
34 schema:inLanguage en
35 schema:isAccessibleForFree true
36 schema:isPartOf N273550a31df34d69adaf7006bab53bce
37 Nf1b0efca7356417891007cc594e56cc3
38 sg:journal.1093892
39 schema:name European health examination surveys – a tool for collecting objective information about the health of the population
40 schema:pagination 38
41 schema:productId N60b645cf98bf46f9b3e368c1d5603748
42 N7ba5fad4d1cf462eb43076e140ddbc59
43 N83a8aa646d984d4082c751599e6eb6ed
44 N83f28f460fbf4dc5b879e860e0930d52
45 N967ab71eefb94789bbcc5be329562075
46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105110934
47 https://doi.org/10.1186/s13690-018-0282-4
48 schema:sdDatePublished 2019-04-10T14:19
49 schema:sdLicense https://scigraph.springernature.com/explorer/license/
50 schema:sdPublisher Nc6285e128eb6488684045423b926023f
51 schema:url https://link.springer.com/10.1186%2Fs13690-018-0282-4
52 sgo:license sg:explorer/license/
53 sgo:sdDataset articles
54 rdf:type schema:ScholarlyArticle
55 N06ea064727164c8ebcc1f6fcdd37e1dc schema:familyName for the EHES Network
56 rdf:type schema:Person
57 N251837912c034292976ae20c810e13c9 rdf:first sg:person.01255257303.12
58 rdf:rest Nf3fda6ed40aa443f93374b10abf41549
59 N273550a31df34d69adaf7006bab53bce schema:volumeNumber 76
60 rdf:type schema:PublicationVolume
61 N33d6724ff0ac4105ac8514347350d59c rdf:first sg:person.01156165716.18
62 rdf:rest N785b61fad1a1464c8957dadefaf476de
63 N43bdd4216f284b46ab4d04d335289fd2 rdf:first sg:person.01277503760.81
64 rdf:rest Nbdcad41a07744ac192b605056d262cd8
65 N4fc5b8fe4aa64e65a041096db1b48166 rdf:first sg:person.0721660120.97
66 rdf:rest N6b8c6fa5befb454bbe1131c055768a51
67 N60b645cf98bf46f9b3e368c1d5603748 schema:name pubmed_id
68 schema:value 29988297
69 rdf:type schema:PropertyValue
70 N6b8c6fa5befb454bbe1131c055768a51 rdf:first sg:person.0731624375.41
71 rdf:rest N8d0b212977f349ecae3e07a756c62f5d
72 N6e2efa18b81d45a09865a8c2be7fe04e schema:affiliation https://www.grid.ac/institutes/grid.451012.3
73 schema:familyName Al-kerwi
74 schema:givenName Ala’a
75 rdf:type schema:Person
76 N785b61fad1a1464c8957dadefaf476de rdf:first sg:person.01136035470.13
77 rdf:rest N4fc5b8fe4aa64e65a041096db1b48166
78 N7ba5fad4d1cf462eb43076e140ddbc59 schema:name nlm_unique_id
79 schema:value 9208826
80 rdf:type schema:PropertyValue
81 N7d00f67dbd234499811ea684688c950a rdf:first sg:person.0766503346.46
82 rdf:rest N43bdd4216f284b46ab4d04d335289fd2
83 N83a8aa646d984d4082c751599e6eb6ed schema:name doi
84 schema:value 10.1186/s13690-018-0282-4
85 rdf:type schema:PropertyValue
86 N83f28f460fbf4dc5b879e860e0930d52 schema:name readcube_id
87 schema:value 3f318121a8cc3ac0915e2b6e8498b3a61a487ea217247c74302bdd103a54103c
88 rdf:type schema:PropertyValue
89 N8d0b212977f349ecae3e07a756c62f5d rdf:first sg:person.01017060476.31
90 rdf:rest N251837912c034292976ae20c810e13c9
91 N967ab71eefb94789bbcc5be329562075 schema:name dimensions_id
92 schema:value pub.1105110934
93 rdf:type schema:PropertyValue
94 Nbdcad41a07744ac192b605056d262cd8 rdf:first N6e2efa18b81d45a09865a8c2be7fe04e
95 rdf:rest Nff9f944b7e1146d4afde7b08732b7d6d
96 Nc6285e128eb6488684045423b926023f schema:name Springer Nature - SN SciGraph project
97 rdf:type schema:Organization
98 Nf1b0efca7356417891007cc594e56cc3 schema:issueNumber 1
99 rdf:type schema:PublicationIssue
100 Nf3fda6ed40aa443f93374b10abf41549 rdf:first N06ea064727164c8ebcc1f6fcdd37e1dc
101 rdf:rest rdf:nil
102 Nff9f944b7e1146d4afde7b08732b7d6d rdf:first sg:person.01070647520.16
103 rdf:rest N33d6724ff0ac4105ac8514347350d59c
104 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
105 schema:name Medical and Health Sciences
106 rdf:type schema:DefinedTerm
107 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
108 schema:name Public Health and Health Services
109 rdf:type schema:DefinedTerm
110 sg:grant.3777542 http://pending.schema.org/fundedItem sg:pub.10.1186/s13690-018-0282-4
111 rdf:type schema:MonetaryGrant
112 sg:journal.1093892 schema:issn 0778-7367
113 2049-3258
114 schema:name Archives of Public Health
115 rdf:type schema:Periodical
116 sg:person.01017060476.31 schema:affiliation https://www.grid.ac/institutes/grid.424637.0
117 schema:familyName Trichopoulou
118 schema:givenName Antonia
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017060476.31
120 rdf:type schema:Person
121 sg:person.01070647520.16 schema:affiliation https://www.grid.ac/institutes/grid.425485.a
122 schema:familyName Capkova
123 schema:givenName Nada
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070647520.16
125 rdf:type schema:Person
126 sg:person.01136035470.13 schema:affiliation https://www.grid.ac/institutes/grid.83440.3b
127 schema:familyName Mindell
128 schema:givenName Jennifer
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136035470.13
130 rdf:type schema:Person
131 sg:person.01156165716.18 schema:affiliation https://www.grid.ac/institutes/grid.416651.1
132 schema:familyName Giampaoli
133 schema:givenName Simona
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156165716.18
135 rdf:type schema:Person
136 sg:person.01255257303.12 schema:affiliation https://www.grid.ac/institutes/grid.14758.3f
137 schema:familyName Kuulasmaa
138 schema:givenName Kari
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255257303.12
140 rdf:type schema:Person
141 sg:person.01277503760.81 schema:affiliation https://www.grid.ac/institutes/grid.14758.3f
142 schema:familyName Koponen
143 schema:givenName Päivikki
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01277503760.81
145 rdf:type schema:Person
146 sg:person.0721660120.97 schema:affiliation https://www.grid.ac/institutes/grid.14758.3f
147 schema:familyName Paalanen
148 schema:givenName Laura
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0721660120.97
150 rdf:type schema:Person
151 sg:person.0731624375.41 schema:affiliation https://www.grid.ac/institutes/grid.451012.3
152 schema:familyName Ruiz-Castell
153 schema:givenName Maria
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731624375.41
155 rdf:type schema:Person
156 sg:person.0766503346.46 schema:affiliation https://www.grid.ac/institutes/grid.14758.3f
157 schema:familyName Tolonen
158 schema:givenName Hanna
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0766503346.46
160 rdf:type schema:Person
161 sg:pub.10.1186/0778-7367-70-20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020462540
162 https://doi.org/10.1186/0778-7367-70-20
163 rdf:type schema:CreativeWork
164 sg:pub.10.1186/0778-7367-71-12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037066638
165 https://doi.org/10.1186/0778-7367-71-12
166 rdf:type schema:CreativeWork
167 sg:pub.10.1186/1471-2458-10-468 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036444285
168 https://doi.org/10.1186/1471-2458-10-468
169 rdf:type schema:CreativeWork
170 sg:pub.10.1186/1471-2458-11-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017119212
171 https://doi.org/10.1186/1471-2458-11-4
172 rdf:type schema:CreativeWork
173 sg:pub.10.1186/1471-2458-12-730 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001224814
174 https://doi.org/10.1186/1471-2458-12-730
175 rdf:type schema:CreativeWork
176 sg:pub.10.1186/1475-2891-12-143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004188989
177 https://doi.org/10.1186/1475-2891-12-143
178 rdf:type schema:CreativeWork
179 sg:pub.10.1186/2049-3258-72-24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000379057
180 https://doi.org/10.1186/2049-3258-72-24
181 rdf:type schema:CreativeWork
182 sg:pub.10.1186/s12874-015-0020-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046156823
183 https://doi.org/10.1186/s12874-015-0020-3
184 rdf:type schema:CreativeWork
185 https://app.dimensions.ai/details/publication/pub.1080722982 schema:CreativeWork
186 https://doi.org/10.1016/j.numecd.2011.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000252293
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.puhe.2015.10.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038612918
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.puhe.2015.11.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037231380
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1017/s0007114512000232 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014751167
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1017/s1368980016000227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034135515
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1093/eurpub/ckt107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039222525
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1093/eurpub/cku074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042354395
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1093/eurpub/ckw271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059578753
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1093/ije/dyh327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024905182
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1093/ije/dys168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024550193
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1097/01.hjr.0000277988.18096.3b schema:sameAs https://app.dimensions.ai/details/publication/pub.1060330315
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1097/md.0000000000004758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010429017
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1111/obr.12024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043526613
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1177/2047487315589011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003093529
213 rdf:type schema:CreativeWork
214 https://doi.org/10.21101/hygiena.a1511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085245180
215 rdf:type schema:CreativeWork
216 https://doi.org/10.2903/j.efsa.2014.3944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012444836
217 rdf:type schema:CreativeWork
218 https://doi.org/10.3390/nu7085308 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031347125
219 rdf:type schema:CreativeWork
220 https://www.grid.ac/institutes/grid.14758.3f schema:alternateName National Institute for Health and Welfare
221 schema:name Department of Public Health Solutions, National Institute for Health and Welfare (THL), P.O. Box 30, FI-00271, Helsinki, Finland
222 rdf:type schema:Organization
223 https://www.grid.ac/institutes/grid.416651.1 schema:alternateName Istituto Superiore di Sanità
224 schema:name Department of Cardiovascular, dysmetabolic and ageing-associated diseases, Istituto Superiore di Sanità (ISS), Rome, Italy
225 rdf:type schema:Organization
226 https://www.grid.ac/institutes/grid.424637.0 schema:alternateName Hellenic Health Foundation
227 schema:name Hellenic Health Foundation, Athens, Greece
228 rdf:type schema:Organization
229 https://www.grid.ac/institutes/grid.425485.a schema:alternateName National Institute of Public Health
230 schema:name Environmental and Population Health Monitoring Centre, National Institute of Public Health, Prague, Czech Republic
231 rdf:type schema:Organization
232 https://www.grid.ac/institutes/grid.451012.3 schema:alternateName Luxembourg Institute of Health
233 schema:name Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg
234 rdf:type schema:Organization
235 https://www.grid.ac/institutes/grid.83440.3b schema:alternateName University College London
236 schema:name UCL, London, UK
237 rdf:type schema:Organization
 




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


...