Indicators for evaluating European population health: a Delphi selection process
| Autor: | João C. Bana e Costa, Ricardo Almendra, Paula Santana, Carlos A. Bana e Costa, Ângela Freitas, Mónica Duarte Oliveira |
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| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty Consensus Delphi Technique European regions Participatory approach Delphi method Population health 03 medical and health sciences 0302 clinical medicine Multivariate analysis of variance Group agreement Surveys and Questionnaires Environmental health Health care Health Status Indicators Humans Indicators Medicine 030212 general & internal medicine business.industry lcsh:Public aspects of medicine 030503 health policy & services Public health Public Health Environmental and Occupational Health Social environment lcsh:RA1-1270 Web Delphi 3. Good health Europe Inter-rater reliability Expert opinion Female Biostatistics 0305 other medical science business Research Article |
| Zdroj: | BMC Public Health, Vol 18, Iss 1, Pp 1-20 (2018) BMC Public Health |
| ISSN: | 1471-2458 |
| DOI: | 10.1186/s12889-018-5463-0 |
| Popis: | Background Indicators are essential instruments for monitoring and evaluating population health. The selection of a multidimensional set of indicators should not only reflect the scientific evidence on health outcomes and health determinants, but also the views of health experts and stakeholders. The aim of this study is to describe the Delphi selection process designed to promote agreement on indicators considered relevant to evaluate population health at the European regional level. Methods Indicators were selected in a Delphi survey conducted using a web-platform designed to implement and monitor participatory processes. It involved a panel of 51 experts and 30 stakeholders from different areas of knowledge and geographies. In three consecutive rounds the panel indicated their level of agreement or disagreement with indicator’s relevance for evaluating population health in Europe. Inferential statistics were applied to draw conclusions on observed level of agreement (Scott’s Pi interrater reliability coefficient) and opinion change (McNemar Chi-square test). Multivariate analysis of variance was conducted to check if the field of expertise influenced the panellist responses (Wilk’s Lambda test). Results The panel participated extensively in the study (overall response rate: 80%). Eighty indicators reached group agreement for selection in the areas of: economic and social environment (12); demographic change (5); lifestyle and health behaviours (8); physical environment (6); built environment (12); healthcare services (11) and health outcomes (26). Higher convergence of group opinion towards agreement on the relevance of indicators was seen for lifestyle and health behaviours, healthcare services, and health outcomes. The panellists’ field of expertise influenced responses: statistically significant differences were found for economic and social environment (p |
| Databáze: | OpenAIRE |
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