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Experiences from the harmonization of Finnish national population-based health survey data.
Paalanen, Laura; Tolonen, Hanna.
Afiliação
  • Paalanen L; Finnish Institute for Health and Welfare (THL), Department of Public Health and Welfare, Helsinki, Finland.
  • Tolonen H; Finnish Institute for Health and Welfare (THL), Department of Public Health and Welfare, Helsinki, Finland.
Scand J Public Health ; 50(7): 972-979, 2022 Nov.
Article em En | MEDLINE | ID: mdl-34706593
Aims: There are several advantages to pooling survey data from individual studies over time or across different countries. Our aim is to share our experiences on harmonizing data from 13 Finnish health examination surveys covering the years 1972-2017 and to describe the challenges related to harmonizing different variable types using two questionnaire variables - blood pressure measurement and total cholesterol assessment - as examples. Methods: Data from Finnish national population-based health surveys were harmonized as part of the research project 'Projections of the Burden of Disease and Disability in Finland - Health Policy Prospects', including variables from questionnaires, objective health measurements and results from the laboratory analysis of biological samples. The process presented in the Maelstrom Research guidelines for data harmonization was followed with minor adjustments. Results: The harmonization of data from objective measurements and biomarkers was reasonably straightforward, but questionnaire items proved more challenging. Some questions and response options had changed during the covered time period. This concerned, for example, questionnaire items on the availability and use of medication and diet. Conclusions: The long time period - 45 years - made harmonization more complicated. The survey questions or response options had changed for some topics due to changes in society. However, common core variables for topics that were especially relevant for the project, such as lifestyle factors and certain diseases or conditions, could be harmonized with sufficient comparability. For future surveys, the use of standardized survey methods and the proper documentation of data collection are recommended to facilitate harmonization.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Colesterol Tipo de estudo: Qualitative_research Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Colesterol Tipo de estudo: Qualitative_research Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2022 Tipo de documento: Article