Cargando…
Mapping non-response in a prevention program for cardiometabolic diseases in primary care: How to improve participation?
Non-response in prevention programs for cardiometabolic diseases (CMD) in primary care is often overlooked. The aim for this study was to define factors that influence the primary response to a selective CMD prevention program and to determine response-enhancing strategies that influence the willing...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7240717/ https://www.ncbi.nlm.nih.gov/pubmed/32461878 http://dx.doi.org/10.1016/j.pmedr.2020.101092 |
_version_ | 1783536945103634432 |
---|---|
author | Badenbroek, Ilse F. Nielen, Marcus M.J. Hollander, Monika Stol, Daphne M. Drijkoningen, Astrid E. Kraaijenhagen, Roderik A. de Wit, Niek J. Schellevis, François G. |
author_facet | Badenbroek, Ilse F. Nielen, Marcus M.J. Hollander, Monika Stol, Daphne M. Drijkoningen, Astrid E. Kraaijenhagen, Roderik A. de Wit, Niek J. Schellevis, François G. |
author_sort | Badenbroek, Ilse F. |
collection | PubMed |
description | Non-response in prevention programs for cardiometabolic diseases (CMD) in primary care is often overlooked. The aim for this study was to define factors that influence the primary response to a selective CMD prevention program and to determine response-enhancing strategies that influence the willingness to participate. We conducted a non-response analysis within a randomized controlled trial evaluating a selective CMD prevention program, the study was conducted from 2013 to 2018 in Netherlands. A random sample of 5616 patients from 15 general practices were invited to complete a risk score (RS) as initial step of the program. Non-responders received an additional questionnaire. The response on the risk score was 51% (n = 2872). From the 3558 non-response questionnaires sent, 786 (22%) were returned. In a multivariable multilevel regression analysis smoking was independently associated with non-response. Of all reported reasons for non-response ‘forgot/no time’ accounted for 45%. In total, 73% of the non-responders indicated to reconsider participation when approached differently. A personal approach by the patients’ own GP, using advertisements and informative campaigns are potentially the best methods to enhance the response. Although a relatively high proportion did not respond to the invitation for the risk score, the majority of them indicated to be willing to participate if a different invitation strategy would be used. With more time and energy, response rates for CMD prevention programs could possibly increase substantially. A next logical step in this process is to test potential response enhancing strategies in research setting. |
format | Online Article Text |
id | pubmed-7240717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72407172020-05-26 Mapping non-response in a prevention program for cardiometabolic diseases in primary care: How to improve participation? Badenbroek, Ilse F. Nielen, Marcus M.J. Hollander, Monika Stol, Daphne M. Drijkoningen, Astrid E. Kraaijenhagen, Roderik A. de Wit, Niek J. Schellevis, François G. Prev Med Rep Regular Article Non-response in prevention programs for cardiometabolic diseases (CMD) in primary care is often overlooked. The aim for this study was to define factors that influence the primary response to a selective CMD prevention program and to determine response-enhancing strategies that influence the willingness to participate. We conducted a non-response analysis within a randomized controlled trial evaluating a selective CMD prevention program, the study was conducted from 2013 to 2018 in Netherlands. A random sample of 5616 patients from 15 general practices were invited to complete a risk score (RS) as initial step of the program. Non-responders received an additional questionnaire. The response on the risk score was 51% (n = 2872). From the 3558 non-response questionnaires sent, 786 (22%) were returned. In a multivariable multilevel regression analysis smoking was independently associated with non-response. Of all reported reasons for non-response ‘forgot/no time’ accounted for 45%. In total, 73% of the non-responders indicated to reconsider participation when approached differently. A personal approach by the patients’ own GP, using advertisements and informative campaigns are potentially the best methods to enhance the response. Although a relatively high proportion did not respond to the invitation for the risk score, the majority of them indicated to be willing to participate if a different invitation strategy would be used. With more time and energy, response rates for CMD prevention programs could possibly increase substantially. A next logical step in this process is to test potential response enhancing strategies in research setting. 2020-04-08 /pmc/articles/PMC7240717/ /pubmed/32461878 http://dx.doi.org/10.1016/j.pmedr.2020.101092 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Regular Article Badenbroek, Ilse F. Nielen, Marcus M.J. Hollander, Monika Stol, Daphne M. Drijkoningen, Astrid E. Kraaijenhagen, Roderik A. de Wit, Niek J. Schellevis, François G. Mapping non-response in a prevention program for cardiometabolic diseases in primary care: How to improve participation? |
title | Mapping non-response in a prevention program for cardiometabolic diseases in primary care: How to improve participation? |
title_full | Mapping non-response in a prevention program for cardiometabolic diseases in primary care: How to improve participation? |
title_fullStr | Mapping non-response in a prevention program for cardiometabolic diseases in primary care: How to improve participation? |
title_full_unstemmed | Mapping non-response in a prevention program for cardiometabolic diseases in primary care: How to improve participation? |
title_short | Mapping non-response in a prevention program for cardiometabolic diseases in primary care: How to improve participation? |
title_sort | mapping non-response in a prevention program for cardiometabolic diseases in primary care: how to improve participation? |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7240717/ https://www.ncbi.nlm.nih.gov/pubmed/32461878 http://dx.doi.org/10.1016/j.pmedr.2020.101092 |
work_keys_str_mv | AT badenbroekilsef mappingnonresponseinapreventionprogramforcardiometabolicdiseasesinprimarycarehowtoimproveparticipation AT nielenmarcusmj mappingnonresponseinapreventionprogramforcardiometabolicdiseasesinprimarycarehowtoimproveparticipation AT hollandermonika mappingnonresponseinapreventionprogramforcardiometabolicdiseasesinprimarycarehowtoimproveparticipation AT stoldaphnem mappingnonresponseinapreventionprogramforcardiometabolicdiseasesinprimarycarehowtoimproveparticipation AT drijkoningenastride mappingnonresponseinapreventionprogramforcardiometabolicdiseasesinprimarycarehowtoimproveparticipation AT kraaijenhagenroderika mappingnonresponseinapreventionprogramforcardiometabolicdiseasesinprimarycarehowtoimproveparticipation AT dewitniekj mappingnonresponseinapreventionprogramforcardiometabolicdiseasesinprimarycarehowtoimproveparticipation AT schellevisfrancoisg mappingnonresponseinapreventionprogramforcardiometabolicdiseasesinprimarycarehowtoimproveparticipation |