Cost-effectiveness analysis of hip fracture prevention with vitamin D supplementation: a Markov micro-simulation model applied to the French population over ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-04-02

AUTHORS

K. Zarca, I. Durand-Zaleski, C. Roux, J-C. Souberbielle, A-M. Schott, T. Thomas, P. Fardellone, C-L. Benhamou

ABSTRACT

We performed a cost-effectiveness analysis of four vitamin D supplementation strategies for primary prevention of hip fracture among the elderly population and found that the most cost-effective strategy was screening for vitamin D insufficiency followed by adequate treatment to attain a minimum 25(OH) serum level.IntroductionVitamin D supplementation has a demonstrated ability to reduce the incidence of hip fractures. The efficiency of lifetime supplementation has not yet been assessed in the population over 65 years without previous hip fracture. The objective was to analyze the efficiency of various vitamin D supplementation strategies for that population.MethodsA Markov micro-simulation model was built with data extracted from published studies and from the French reimbursement schedule. Four vitamin D supplementation strategies were evaluated on our study population: (1) no treatment, (2) supplementation without any serum level check; (3) supplementation with a serum level check 3 months after initiation and subsequent treatment adaptation; (4) population screening for vitamin D insufficiency followed by treatment based on the vitamin D serum level.Results“Treat, then check” and “screen and treat” were two cost-effective strategies and dominated “treat without check” with incremental cost-effectiveness ratios of €5,219/quality-adjusted life-years (QALY) and €9,104/QALY, respectively. The acceptability curves showed that over €6,000/QALY, the “screen and treat” strategy had the greatest probability of being cost-effective, and the “no treatment” strategy would never be cost-effective if society were willing to spend over €8,000/QALY. The sensitivity analysis showed that among all parameters varying within realistic ranges, the cost of vitamin D treatment had the greatest effect and yet remained below the WHO cost-effectiveness thresholds.ConclusionsPopulation screening for vitamin D insufficiency followed by treatment based on the vitamin D serum level is the most cost-effective strategy for preventing hip fracture occurrence in the population over 65 years old. More... »

PAGES

1797-1806

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00198-014-2698-1

DOI

http://dx.doi.org/10.1007/s00198-014-2698-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1030489320

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24691648


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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Density Conservation Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cost-Benefit Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dietary Supplements", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug Costs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "France", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Care Costs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Services Research", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hip Fractures", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Incidence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Markov Chains", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mass Screening", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Medication Adherence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Econometric", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Osteoporosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Osteoporotic Fractures", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quality-Adjusted Life Years", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Recurrence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vitamin D", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vitamin D Deficiency", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Public Health, Henri Mondor-Albert Chenevier Hospitals (AP-HP), Cr\u00e9teil, France", 
          "id": "http://www.grid.ac/institutes/grid.457361.2", 
          "name": [
            "H\u00f4pital H\u00f4tel Dieu, URC Eco Ile-de-France (AP-HP), 1 Place du Parvis Notre Dame, 75004, Paris, France", 
            "Department of Public Health, Henri Mondor-Albert Chenevier Hospitals (AP-HP), Cr\u00e9teil, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zarca", 
        "givenName": "K.", 
        "id": "sg:person.01033615220.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033615220.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "ECEVE - UMR1123 - INSERM, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Department of Public Health, Henri Mondor-Albert Chenevier Hospitals (AP-HP), Cr\u00e9teil, France", 
            "URC Eco Ile-de-France (AP-HP), Paris, France", 
            "LIC E4393, Faculty of Medicine, IFR10, University Paris-Est, Cr\u00e9teil, France", 
            "ECEVE - UMR1123 - INSERM, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Durand-Zaleski", 
        "givenName": "I.", 
        "id": "sg:person.01327533357.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327533357.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Epidemiology and Biostatistics, Sorbonne Paris Cit\u00e9 Research Center, Epidemiology of musculo-skeletal disorders, INSERM U1153, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Department of Rheumatology, Cochin Hospital (AP-HP), Paris, France", 
            "Paris-Descartes University, Paris, France", 
            "Epidemiology and Biostatistics, Sorbonne Paris Cit\u00e9 Research Center, Epidemiology of musculo-skeletal disorders, INSERM U1153, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roux", 
        "givenName": "C.", 
        "id": "sg:person.01307576733.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307576733.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM U845, Necker Hospital (AP-HP), Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.412134.1", 
          "name": [
            "Department of Physiology/Functional Exploration, Necker Hospital (AP-HP), Paris, France", 
            "Paris-Descartes University, Paris, France", 
            "INSERM U845, Necker Hospital (AP-HP), Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Souberbielle", 
        "givenName": "J-C.", 
        "id": "sg:person.0576552420.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576552420.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM U1033, Lyon 1 University, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.7849.2", 
          "name": [
            "Department of Epidemiology, Hospices Civils de Lyon, Lyon, France", 
            "INSERM U1033, Lyon 1 University, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schott", 
        "givenName": "A-M.", 
        "id": "sg:person.01222455741.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222455741.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM U1059, University Hospital of Saint-Etienne, Saint-Etienne, France", 
          "id": "http://www.grid.ac/institutes/grid.412954.f", 
          "name": [
            "Department of Rheumatology, University Hospital of Saint-Etienne, Saint-Etienne, France", 
            "INSERM U1059, University Hospital of Saint-Etienne, Saint-Etienne, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thomas", 
        "givenName": "T.", 
        "id": "sg:person.0670161571.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670161571.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM U1088, University of Picardie - Jules Verne, Amiens, France", 
          "id": "http://www.grid.ac/institutes/grid.11162.35", 
          "name": [
            "Department of Rheumatology, University Hospital of Amiens, Amiens, France", 
            "INSERM U1088, University of Picardie - Jules Verne, Amiens, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fardellone", 
        "givenName": "P.", 
        "id": "sg:person.0651531443.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651531443.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Rheumatology, Hospital of Orleans, Orleans, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Rheumatology, Hospital of Orleans, Orleans, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Benhamou", 
        "givenName": "C-L.", 
        "id": "sg:person.01341162475.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341162475.97"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00198-012-2032-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001879347", 
          "https://doi.org/10.1007/s00198-012-2032-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-012-2240-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038429533", 
          "https://doi.org/10.1007/s00198-012-2240-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-003-1463-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049023520", 
          "https://doi.org/10.1007/s00198-003-1463-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-009-1119-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039499120", 
          "https://doi.org/10.1007/s00198-009-1119-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1013171831202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023327079", 
          "https://doi.org/10.1023/a:1013171831202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/pl00004173", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010599962", 
          "https://doi.org/10.1007/pl00004173"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-012-2020-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027430615", 
          "https://doi.org/10.1007/s00198-012-2020-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-010-1255-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027160312", 
          "https://doi.org/10.1007/s00198-010-1255-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00198-009-0954-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039349951", 
          "https://doi.org/10.1007/s00198-009-0954-6"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-04-02", 
    "datePublishedReg": "2014-04-02", 
    "description": "We performed a cost-effectiveness analysis of four vitamin D supplementation strategies for primary prevention of hip fracture among the elderly population and found that the most cost-effective strategy was screening for vitamin D insufficiency followed by adequate treatment to attain a minimum 25(OH) serum level.IntroductionVitamin D supplementation has a demonstrated ability to reduce the incidence of hip fractures. The efficiency of lifetime supplementation has not yet been assessed in the population over 65\u00a0years without previous hip fracture. The objective was to analyze the efficiency of various vitamin D supplementation strategies for that population.MethodsA Markov micro-simulation model was built with data extracted from published studies and from the French reimbursement schedule. Four vitamin D supplementation strategies were evaluated on our study population: (1) no treatment, (2) supplementation without any serum level check; (3) supplementation with a serum level check 3\u00a0months after initiation and subsequent treatment adaptation; (4) population screening for vitamin D insufficiency followed by treatment based on the vitamin D serum level.Results\u201cTreat, then check\u201d and \u201cscreen and treat\u201d were two cost-effective strategies and dominated \u201ctreat without check\u201d with incremental cost-effectiveness ratios of \u20ac5,219/quality-adjusted life-years (QALY) and \u20ac9,104/QALY, respectively. The acceptability curves showed that over \u20ac6,000/QALY, the \u201cscreen and treat\u201d strategy had the greatest probability of being cost-effective, and the \u201cno treatment\u201d strategy would never be cost-effective if society were willing to spend over \u20ac8,000/QALY. The sensitivity analysis showed that among all parameters varying within realistic ranges, the cost of vitamin D treatment had the greatest effect and yet remained below the WHO cost-effectiveness thresholds.ConclusionsPopulation screening for vitamin D insufficiency followed by treatment based on the vitamin D serum level is the most cost-effective strategy for preventing hip fracture occurrence in the population over 65\u00a0years old.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00198-014-2698-1", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1100834", 
        "issn": [
          "0937-941X", 
          "1433-2965"
        ], 
        "name": "Osteoporosis International", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "25"
      }
    ], 
    "keywords": [
      "vitamin D supplementation strategies", 
      "vitamin D insufficiency", 
      "Markov micro-simulation model", 
      "vitamin D serum levels", 
      "previous hip fracture", 
      "D serum levels", 
      "hip fracture", 
      "D insufficiency", 
      "serum levels", 
      "cost-effectiveness analysis", 
      "D supplementation", 
      "cost-effective strategy", 
      "incremental cost-effectiveness ratio", 
      "vitamin D treatment", 
      "vitamin D supplementation", 
      "hip fracture prevention", 
      "supplementation strategies", 
      "hip fracture occurrence", 
      "cost-effectiveness ratio", 
      "cost-effectiveness threshold", 
      "primary prevention", 
      "fracture prevention", 
      "study population", 
      "elderly population", 
      "adequate treatment", 
      "acceptability curves", 
      "treatment adaptation", 
      "insufficiency", 
      "reimbursement schedules", 
      "supplementation", 
      "QALY", 
      "D treatment", 
      "treatment", 
      "fracture occurrence", 
      "French population", 
      "level checks", 
      "prevention", 
      "fractures", 
      "population", 
      "years", 
      "greater probability", 
      "ConclusionsPopulation", 
      "levels", 
      "incidence", 
      "months", 
      "treat", 
      "greater effect", 
      "strategies", 
      "initiation", 
      "micro-simulation model", 
      "screen", 
      "schedule", 
      "sensitivity analysis", 
      "analysis", 
      "study", 
      "occurrence", 
      "effect", 
      "objective", 
      "threshold", 
      "ability", 
      "data", 
      "ratio", 
      "curves", 
      "check", 
      "adaptation", 
      "model", 
      "society", 
      "probability", 
      "cost", 
      "parameters", 
      "range", 
      "realistic range", 
      "efficiency"
    ], 
    "name": "Cost-effectiveness analysis of hip fracture prevention with vitamin D supplementation: a Markov micro-simulation model applied to the French population over 65 years old without previous hip fracture", 
    "pagination": "1797-1806", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1030489320"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00198-014-2698-1"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24691648"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00198-014-2698-1", 
      "https://app.dimensions.ai/details/publication/pub.1030489320"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:40", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_633.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00198-014-2698-1"
  }
]
 

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/s00198-014-2698-1'

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/s00198-014-2698-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00198-014-2698-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00198-014-2698-1'


 

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

346 TRIPLES      21 PREDICATES      131 URIs      114 LITERALS      31 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00198-014-2698-1 schema:about N0144e15aa9574c5aa08292d6a82415a8
2 N1030fa0e434f460caae5306ee8841be9
3 N31f253a2b1a542688dda066e6fc775ad
4 N450eb5c48e4c4090a26d50c8b8e41dae
5 N48b7712f16c6415ba50b735ce483a32c
6 N4bf62fa6dff24e61a5903c6dd0d10305
7 N53605a5552ec40fc9a0ba08e5175430b
8 N700ae4a2f3dd4ad399eb2f9d817be959
9 N750990e60a3d462392a8cb515009bb36
10 N78bc8623939f4b46b8802b81815e4eef
11 N86357d1d66a54b13853d863d614b0197
12 N95bc226e16564a71a6002b68e91a68c5
13 Nad5173a3cdf24cab97a264e97867bae8
14 Naf2678787cdb4e419b0753a6ba5a10a6
15 Nb3bbb93bcae9479991e356f43ec14e8d
16 Nb4442590caa24cbcbb16f946c05382ec
17 Nc0669f6d8d8b4adeb3b82e5903de8a99
18 Nc75740f46130455eb8a0fbd6c95a064f
19 Nd2c0c558199b4d8d9472c32a9d5ed327
20 Nd7eb0e2339f7414a901a1eb8c445c92f
21 Ndf4cfade977048179fea41cf5b33867e
22 Ne99834d8f1d8439fab6ef5617a5ec103
23 Nec5e82db6b7f44fbb874b2b5755f9820
24 Nf6edd1cc1eec4a6b8785dfa027c97098
25 anzsrc-for:11
26 anzsrc-for:1117
27 schema:author N17e0fc847e7842d18001ed6e11859b89
28 schema:citation sg:pub.10.1007/pl00004173
29 sg:pub.10.1007/s00198-003-1463-7
30 sg:pub.10.1007/s00198-009-0954-6
31 sg:pub.10.1007/s00198-009-1119-3
32 sg:pub.10.1007/s00198-010-1255-9
33 sg:pub.10.1007/s00198-012-2020-z
34 sg:pub.10.1007/s00198-012-2032-8
35 sg:pub.10.1007/s00198-012-2240-2
36 sg:pub.10.1023/a:1013171831202
37 schema:datePublished 2014-04-02
38 schema:datePublishedReg 2014-04-02
39 schema:description We performed a cost-effectiveness analysis of four vitamin D supplementation strategies for primary prevention of hip fracture among the elderly population and found that the most cost-effective strategy was screening for vitamin D insufficiency followed by adequate treatment to attain a minimum 25(OH) serum level.IntroductionVitamin D supplementation has a demonstrated ability to reduce the incidence of hip fractures. The efficiency of lifetime supplementation has not yet been assessed in the population over 65 years without previous hip fracture. The objective was to analyze the efficiency of various vitamin D supplementation strategies for that population.MethodsA Markov micro-simulation model was built with data extracted from published studies and from the French reimbursement schedule. Four vitamin D supplementation strategies were evaluated on our study population: (1) no treatment, (2) supplementation without any serum level check; (3) supplementation with a serum level check 3 months after initiation and subsequent treatment adaptation; (4) population screening for vitamin D insufficiency followed by treatment based on the vitamin D serum level.Results“Treat, then check” and “screen and treat” were two cost-effective strategies and dominated “treat without check” with incremental cost-effectiveness ratios of €5,219/quality-adjusted life-years (QALY) and €9,104/QALY, respectively. The acceptability curves showed that over €6,000/QALY, the “screen and treat” strategy had the greatest probability of being cost-effective, and the “no treatment” strategy would never be cost-effective if society were willing to spend over €8,000/QALY. The sensitivity analysis showed that among all parameters varying within realistic ranges, the cost of vitamin D treatment had the greatest effect and yet remained below the WHO cost-effectiveness thresholds.ConclusionsPopulation screening for vitamin D insufficiency followed by treatment based on the vitamin D serum level is the most cost-effective strategy for preventing hip fracture occurrence in the population over 65 years old.
40 schema:genre article
41 schema:isAccessibleForFree false
42 schema:isPartOf Nb24fbc6921b94fe59a3aecafe794baf3
43 Nd82f926742af4b198cf8556cdc617a6e
44 sg:journal.1100834
45 schema:keywords ConclusionsPopulation
46 D insufficiency
47 D serum levels
48 D supplementation
49 D treatment
50 French population
51 Markov micro-simulation model
52 QALY
53 ability
54 acceptability curves
55 adaptation
56 adequate treatment
57 analysis
58 check
59 cost
60 cost-effective strategy
61 cost-effectiveness analysis
62 cost-effectiveness ratio
63 cost-effectiveness threshold
64 curves
65 data
66 effect
67 efficiency
68 elderly population
69 fracture occurrence
70 fracture prevention
71 fractures
72 greater effect
73 greater probability
74 hip fracture
75 hip fracture occurrence
76 hip fracture prevention
77 incidence
78 incremental cost-effectiveness ratio
79 initiation
80 insufficiency
81 level checks
82 levels
83 micro-simulation model
84 model
85 months
86 objective
87 occurrence
88 parameters
89 population
90 prevention
91 previous hip fracture
92 primary prevention
93 probability
94 range
95 ratio
96 realistic range
97 reimbursement schedules
98 schedule
99 screen
100 sensitivity analysis
101 serum levels
102 society
103 strategies
104 study
105 study population
106 supplementation
107 supplementation strategies
108 threshold
109 treat
110 treatment
111 treatment adaptation
112 vitamin D insufficiency
113 vitamin D serum levels
114 vitamin D supplementation
115 vitamin D supplementation strategies
116 vitamin D treatment
117 years
118 schema:name Cost-effectiveness analysis of hip fracture prevention with vitamin D supplementation: a Markov micro-simulation model applied to the French population over 65 years old without previous hip fracture
119 schema:pagination 1797-1806
120 schema:productId N424cd2939e3745aca45300feedf30322
121 N7b8fb78e46024882804765be7d08bdd7
122 N8e8d10700da94b96a89baee5e363848a
123 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030489320
124 https://doi.org/10.1007/s00198-014-2698-1
125 schema:sdDatePublished 2022-10-01T06:40
126 schema:sdLicense https://scigraph.springernature.com/explorer/license/
127 schema:sdPublisher N2cc5364052994fc2881cc2caa953d9d0
128 schema:url https://doi.org/10.1007/s00198-014-2698-1
129 sgo:license sg:explorer/license/
130 sgo:sdDataset articles
131 rdf:type schema:ScholarlyArticle
132 N0144e15aa9574c5aa08292d6a82415a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Osteoporosis
134 rdf:type schema:DefinedTerm
135 N1030fa0e434f460caae5306ee8841be9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Humans
137 rdf:type schema:DefinedTerm
138 N17e0fc847e7842d18001ed6e11859b89 rdf:first sg:person.01033615220.30
139 rdf:rest N1f764ff2b7544b02ab2b5b2f41f38855
140 N1f764ff2b7544b02ab2b5b2f41f38855 rdf:first sg:person.01327533357.46
141 rdf:rest N544c64536d874cfca3878eb0ac977de3
142 N2326858fed114bcd9170f916d397a19f rdf:first sg:person.0670161571.05
143 rdf:rest N7a22118c22a3429cb7a2858679f9a146
144 N2cc5364052994fc2881cc2caa953d9d0 schema:name Springer Nature - SN SciGraph project
145 rdf:type schema:Organization
146 N31f253a2b1a542688dda066e6fc775ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Markov Chains
148 rdf:type schema:DefinedTerm
149 N424cd2939e3745aca45300feedf30322 schema:name dimensions_id
150 schema:value pub.1030489320
151 rdf:type schema:PropertyValue
152 N450eb5c48e4c4090a26d50c8b8e41dae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Health Services Research
154 rdf:type schema:DefinedTerm
155 N48b7712f16c6415ba50b735ce483a32c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Incidence
157 rdf:type schema:DefinedTerm
158 N4ae68d85011142d4b218b0636e52ef1a rdf:first sg:person.01222455741.15
159 rdf:rest N2326858fed114bcd9170f916d397a19f
160 N4bf62fa6dff24e61a5903c6dd0d10305 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Vitamin D Deficiency
162 rdf:type schema:DefinedTerm
163 N53605a5552ec40fc9a0ba08e5175430b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name France
165 rdf:type schema:DefinedTerm
166 N544c64536d874cfca3878eb0ac977de3 rdf:first sg:person.01307576733.08
167 rdf:rest Ne738ea534efe4d8a9aa0fba6874960de
168 N700ae4a2f3dd4ad399eb2f9d817be959 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Medication Adherence
170 rdf:type schema:DefinedTerm
171 N750990e60a3d462392a8cb515009bb36 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Osteoporotic Fractures
173 rdf:type schema:DefinedTerm
174 N78bc8623939f4b46b8802b81815e4eef schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Recurrence
176 rdf:type schema:DefinedTerm
177 N7a22118c22a3429cb7a2858679f9a146 rdf:first sg:person.0651531443.88
178 rdf:rest N9a0f5d4386964182825b2f90d8dd2b43
179 N7b8fb78e46024882804765be7d08bdd7 schema:name doi
180 schema:value 10.1007/s00198-014-2698-1
181 rdf:type schema:PropertyValue
182 N86357d1d66a54b13853d863d614b0197 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
183 schema:name Health Care Costs
184 rdf:type schema:DefinedTerm
185 N8e8d10700da94b96a89baee5e363848a schema:name pubmed_id
186 schema:value 24691648
187 rdf:type schema:PropertyValue
188 N95bc226e16564a71a6002b68e91a68c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Male
190 rdf:type schema:DefinedTerm
191 N9a0f5d4386964182825b2f90d8dd2b43 rdf:first sg:person.01341162475.97
192 rdf:rest rdf:nil
193 Nad5173a3cdf24cab97a264e97867bae8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Drug Costs
195 rdf:type schema:DefinedTerm
196 Naf2678787cdb4e419b0753a6ba5a10a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Aged
198 rdf:type schema:DefinedTerm
199 Nb24fbc6921b94fe59a3aecafe794baf3 schema:volumeNumber 25
200 rdf:type schema:PublicationVolume
201 Nb3bbb93bcae9479991e356f43ec14e8d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
202 schema:name Hip Fractures
203 rdf:type schema:DefinedTerm
204 Nb4442590caa24cbcbb16f946c05382ec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
205 schema:name Bone Density Conservation Agents
206 rdf:type schema:DefinedTerm
207 Nc0669f6d8d8b4adeb3b82e5903de8a99 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
208 schema:name Quality-Adjusted Life Years
209 rdf:type schema:DefinedTerm
210 Nc75740f46130455eb8a0fbd6c95a064f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
211 schema:name Dietary Supplements
212 rdf:type schema:DefinedTerm
213 Nd2c0c558199b4d8d9472c32a9d5ed327 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
214 schema:name Cost-Benefit Analysis
215 rdf:type schema:DefinedTerm
216 Nd7eb0e2339f7414a901a1eb8c445c92f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
217 schema:name Vitamin D
218 rdf:type schema:DefinedTerm
219 Nd82f926742af4b198cf8556cdc617a6e schema:issueNumber 6
220 rdf:type schema:PublicationIssue
221 Ndf4cfade977048179fea41cf5b33867e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
222 schema:name Mass Screening
223 rdf:type schema:DefinedTerm
224 Ne738ea534efe4d8a9aa0fba6874960de rdf:first sg:person.0576552420.90
225 rdf:rest N4ae68d85011142d4b218b0636e52ef1a
226 Ne99834d8f1d8439fab6ef5617a5ec103 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
227 schema:name Aged, 80 and over
228 rdf:type schema:DefinedTerm
229 Nec5e82db6b7f44fbb874b2b5755f9820 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
230 schema:name Models, Econometric
231 rdf:type schema:DefinedTerm
232 Nf6edd1cc1eec4a6b8785dfa027c97098 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
233 schema:name Female
234 rdf:type schema:DefinedTerm
235 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
236 schema:name Medical and Health Sciences
237 rdf:type schema:DefinedTerm
238 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
239 schema:name Public Health and Health Services
240 rdf:type schema:DefinedTerm
241 sg:journal.1100834 schema:issn 0937-941X
242 1433-2965
243 schema:name Osteoporosis International
244 schema:publisher Springer Nature
245 rdf:type schema:Periodical
246 sg:person.01033615220.30 schema:affiliation grid-institutes:grid.457361.2
247 schema:familyName Zarca
248 schema:givenName K.
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033615220.30
250 rdf:type schema:Person
251 sg:person.01222455741.15 schema:affiliation grid-institutes:grid.7849.2
252 schema:familyName Schott
253 schema:givenName A-M.
254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222455741.15
255 rdf:type schema:Person
256 sg:person.01307576733.08 schema:affiliation grid-institutes:grid.7429.8
257 schema:familyName Roux
258 schema:givenName C.
259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01307576733.08
260 rdf:type schema:Person
261 sg:person.01327533357.46 schema:affiliation grid-institutes:grid.7429.8
262 schema:familyName Durand-Zaleski
263 schema:givenName I.
264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327533357.46
265 rdf:type schema:Person
266 sg:person.01341162475.97 schema:affiliation grid-institutes:None
267 schema:familyName Benhamou
268 schema:givenName C-L.
269 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01341162475.97
270 rdf:type schema:Person
271 sg:person.0576552420.90 schema:affiliation grid-institutes:grid.412134.1
272 schema:familyName Souberbielle
273 schema:givenName J-C.
274 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0576552420.90
275 rdf:type schema:Person
276 sg:person.0651531443.88 schema:affiliation grid-institutes:grid.11162.35
277 schema:familyName Fardellone
278 schema:givenName P.
279 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651531443.88
280 rdf:type schema:Person
281 sg:person.0670161571.05 schema:affiliation grid-institutes:grid.412954.f
282 schema:familyName Thomas
283 schema:givenName T.
284 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670161571.05
285 rdf:type schema:Person
286 sg:pub.10.1007/pl00004173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010599962
287 https://doi.org/10.1007/pl00004173
288 rdf:type schema:CreativeWork
289 sg:pub.10.1007/s00198-003-1463-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049023520
290 https://doi.org/10.1007/s00198-003-1463-7
291 rdf:type schema:CreativeWork
292 sg:pub.10.1007/s00198-009-0954-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039349951
293 https://doi.org/10.1007/s00198-009-0954-6
294 rdf:type schema:CreativeWork
295 sg:pub.10.1007/s00198-009-1119-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039499120
296 https://doi.org/10.1007/s00198-009-1119-3
297 rdf:type schema:CreativeWork
298 sg:pub.10.1007/s00198-010-1255-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027160312
299 https://doi.org/10.1007/s00198-010-1255-9
300 rdf:type schema:CreativeWork
301 sg:pub.10.1007/s00198-012-2020-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1027430615
302 https://doi.org/10.1007/s00198-012-2020-z
303 rdf:type schema:CreativeWork
304 sg:pub.10.1007/s00198-012-2032-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001879347
305 https://doi.org/10.1007/s00198-012-2032-8
306 rdf:type schema:CreativeWork
307 sg:pub.10.1007/s00198-012-2240-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038429533
308 https://doi.org/10.1007/s00198-012-2240-2
309 rdf:type schema:CreativeWork
310 sg:pub.10.1023/a:1013171831202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023327079
311 https://doi.org/10.1023/a:1013171831202
312 rdf:type schema:CreativeWork
313 grid-institutes:None schema:alternateName Department of Rheumatology, Hospital of Orleans, Orleans, France
314 schema:name Department of Rheumatology, Hospital of Orleans, Orleans, France
315 rdf:type schema:Organization
316 grid-institutes:grid.11162.35 schema:alternateName INSERM U1088, University of Picardie - Jules Verne, Amiens, France
317 schema:name Department of Rheumatology, University Hospital of Amiens, Amiens, France
318 INSERM U1088, University of Picardie - Jules Verne, Amiens, France
319 rdf:type schema:Organization
320 grid-institutes:grid.412134.1 schema:alternateName INSERM U845, Necker Hospital (AP-HP), Paris, France
321 schema:name Department of Physiology/Functional Exploration, Necker Hospital (AP-HP), Paris, France
322 INSERM U845, Necker Hospital (AP-HP), Paris, France
323 Paris-Descartes University, Paris, France
324 rdf:type schema:Organization
325 grid-institutes:grid.412954.f schema:alternateName INSERM U1059, University Hospital of Saint-Etienne, Saint-Etienne, France
326 schema:name Department of Rheumatology, University Hospital of Saint-Etienne, Saint-Etienne, France
327 INSERM U1059, University Hospital of Saint-Etienne, Saint-Etienne, France
328 rdf:type schema:Organization
329 grid-institutes:grid.457361.2 schema:alternateName Department of Public Health, Henri Mondor-Albert Chenevier Hospitals (AP-HP), Créteil, France
330 schema:name Department of Public Health, Henri Mondor-Albert Chenevier Hospitals (AP-HP), Créteil, France
331 Hôpital Hôtel Dieu, URC Eco Ile-de-France (AP-HP), 1 Place du Parvis Notre Dame, 75004, Paris, France
332 rdf:type schema:Organization
333 grid-institutes:grid.7429.8 schema:alternateName ECEVE - UMR1123 - INSERM, Paris, France
334 Epidemiology and Biostatistics, Sorbonne Paris Cité Research Center, Epidemiology of musculo-skeletal disorders, INSERM U1153, Paris, France
335 schema:name Department of Public Health, Henri Mondor-Albert Chenevier Hospitals (AP-HP), Créteil, France
336 Department of Rheumatology, Cochin Hospital (AP-HP), Paris, France
337 ECEVE - UMR1123 - INSERM, Paris, France
338 Epidemiology and Biostatistics, Sorbonne Paris Cité Research Center, Epidemiology of musculo-skeletal disorders, INSERM U1153, Paris, France
339 LIC E4393, Faculty of Medicine, IFR10, University Paris-Est, Créteil, France
340 Paris-Descartes University, Paris, France
341 URC Eco Ile-de-France (AP-HP), Paris, France
342 rdf:type schema:Organization
343 grid-institutes:grid.7849.2 schema:alternateName INSERM U1033, Lyon 1 University, Lyon, France
344 schema:name Department of Epidemiology, Hospices Civils de Lyon, Lyon, France
345 INSERM U1033, Lyon 1 University, Lyon, France
346 rdf:type schema:Organization
 




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


...