A novel approach to population-based risk stratification, comprising individualized lifestyle intervention in Danish general practice to prevent chronic diseases: Results from a feasibility study

Lars Bruun Larsen, Jens Soendergaard, Anders Halling, Trine Thilsing, Janus Laust Thomsen

Research output: Contribution to journalArticlepeer-review

8 Citations (SciVal)

Abstract

Early detection of patients at risk seems to be effective for reducing the prevalence of lifestyle-related chronic diseases. We aim to test the feasibility of a novel intervention for early detection of lifestyle-related chronic diseases based on a population-based stratification using a combination of questionnaire and electronic patient record data. The intervention comprises four elements: (1) collection of information on lifestyle risk factors using a short 15-item questionnaire, (2) electronic transfer of questionnaire data to the general practitioners' electronic patient records, (3) identification of patients already diagnosed with a lifestyle-related chronic disease, and (4) risk estimation and stratification of apparently healthy patients using questionnaire and electronic patient record data on validated risk estimation models. We show that it is feasible to implement a novel intervention that identifies and stratifies patients for further examinations in general practice or behaviour change interventions at the municipal level without any additional workload for the general practitioner.

Original languageEnglish
Pages (from-to)249-259
Number of pages11
JournalHealth Informatics Journal
Volume23
Issue number4
DOIs
Publication statusPublished - 2017 Dec
Externally publishedYes

Subject classification (UKÄ)

  • Family Medicine

Keywords

  • Adult
  • Chronic Disease/prevention & control
  • Community Health Planning/methods
  • Feasibility Studies
  • Female
  • General Practice/methods
  • Humans
  • Male
  • Middle Aged
  • Netherlands
  • Patient-Centered Care/methods
  • Risk Assessment/methods
  • Risk Factors
  • Risk Reduction Behavior
  • Surveys and Questionnaires

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