Patients’ opinions about knowing their risk for depression and what to do about it: The PredictD-Qualitative study

Background: The predictD study developed and validated a risk algorithm for predicting the onset of major depression in primary care. We aimed to explore the opinion of patients about knowing their risk for depression and the values and criteria upon which these opinions are based. Methods: A maximu...

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Autores: Bellón, Juan Á., Moreno Peral, Patricia, Moreno Küstner, Berta, Motrico Martínez, Emma, Aiarzagüena, José M., Fernández, Anna, Amezcua, Manuel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/87368
Acceso en línea:https://hdl.handle.net/11441/87368
https://doi.org/10.1371/journal.pone.0092008
Access Level:acceso abierto
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spelling Patients’ opinions about knowing their risk for depression and what to do about it: The PredictD-Qualitative studyBellón, Juan Á.Moreno Peral, PatriciaMoreno Küstner, BertaMotrico Martínez, EmmaAiarzagüena, José M.Fernández, AnnaAmezcua, ManuelBackground: The predictD study developed and validated a risk algorithm for predicting the onset of major depression in primary care. We aimed to explore the opinion of patients about knowing their risk for depression and the values and criteria upon which these opinions are based. Methods: A maximum variation sample of patients was taken, stratified by city, age, gender, immigrant status, socioeconomic status and lifetime depression. The study participants were 52 patients belonging to 13 urban health centres in seven different cities around Spain. Seven Focus Groups (FGs) were given held with primary care patients, one for each of the seven participating cities. Results: The results showed that patients generally welcomed knowing their risk for depression. Furthermore, in light of available evidence several patients proposed potential changes in their lifestyles to prevent depression. Patients generally preferred to ask their General Practitioners (GPs) for advice, though mental health specialists were also mentioned. They suggested that GPs undertake interventions tailored to each patient, from a ‘‘patient-centred’’ approach, with certain communication skills, and giving advice to help patients cope with the knowledge that they are at risk of becoming depressed. Conclusions: Patients are pleased to be informed about their risk for depression. We detected certain beliefs, attitudes, values, expectations and behaviour among the patients that were potentially useful for future primary prevention programmes on depression.Junta de Andalucía 2008/0195Gobierno Vasco 2008/111021Spanish Network of Primary Care Research (redIAPP) RD06/0018Salud Mental, Servicios y Atención Primaria (SAMSERAP)Public Library of SciencePsicología Evolutiva y de la EducaciónJunta de AndalucíaGobierno VascoSpanish Network of Primary Care Research (redIAPP)SAMSERAP (Salud Mental, Servicios y Atención Primaria)Aragón group’Sant Joan de Deu groupBizkaya group2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/87368https://doi.org/10.1371/journal.pone.0092008reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésPLOS ONE, 9 (3)2008/01952008/111021RD06/0018RD06/0018/0020RD07/0018/0017RD07/0018/0018RD07/0018/0027RD06/0018/0039https://doi.org/10.1371/journal.pone.0092008info:eu-repo/semantics/openAccessoai:idus.us.es:11441/873682026-06-17T12:51:07Z
dc.title.none.fl_str_mv Patients’ opinions about knowing their risk for depression and what to do about it: The PredictD-Qualitative study
title Patients’ opinions about knowing their risk for depression and what to do about it: The PredictD-Qualitative study
spellingShingle Patients’ opinions about knowing their risk for depression and what to do about it: The PredictD-Qualitative study
Bellón, Juan Á.
title_short Patients’ opinions about knowing their risk for depression and what to do about it: The PredictD-Qualitative study
title_full Patients’ opinions about knowing their risk for depression and what to do about it: The PredictD-Qualitative study
title_fullStr Patients’ opinions about knowing their risk for depression and what to do about it: The PredictD-Qualitative study
title_full_unstemmed Patients’ opinions about knowing their risk for depression and what to do about it: The PredictD-Qualitative study
title_sort Patients’ opinions about knowing their risk for depression and what to do about it: The PredictD-Qualitative study
dc.creator.none.fl_str_mv Bellón, Juan Á.
Moreno Peral, Patricia
Moreno Küstner, Berta
Motrico Martínez, Emma
Aiarzagüena, José M.
Fernández, Anna
Amezcua, Manuel
author Bellón, Juan Á.
author_facet Bellón, Juan Á.
Moreno Peral, Patricia
Moreno Küstner, Berta
Motrico Martínez, Emma
Aiarzagüena, José M.
Fernández, Anna
Amezcua, Manuel
author_role author
author2 Moreno Peral, Patricia
Moreno Küstner, Berta
Motrico Martínez, Emma
Aiarzagüena, José M.
Fernández, Anna
Amezcua, Manuel
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Psicología Evolutiva y de la Educación
Junta de Andalucía
Gobierno Vasco
Spanish Network of Primary Care Research (redIAPP)
SAMSERAP (Salud Mental, Servicios y Atención Primaria)
Aragón group’
Sant Joan de Deu group
Bizkaya group
description Background: The predictD study developed and validated a risk algorithm for predicting the onset of major depression in primary care. We aimed to explore the opinion of patients about knowing their risk for depression and the values and criteria upon which these opinions are based. Methods: A maximum variation sample of patients was taken, stratified by city, age, gender, immigrant status, socioeconomic status and lifetime depression. The study participants were 52 patients belonging to 13 urban health centres in seven different cities around Spain. Seven Focus Groups (FGs) were given held with primary care patients, one for each of the seven participating cities. Results: The results showed that patients generally welcomed knowing their risk for depression. Furthermore, in light of available evidence several patients proposed potential changes in their lifestyles to prevent depression. Patients generally preferred to ask their General Practitioners (GPs) for advice, though mental health specialists were also mentioned. They suggested that GPs undertake interventions tailored to each patient, from a ‘‘patient-centred’’ approach, with certain communication skills, and giving advice to help patients cope with the knowledge that they are at risk of becoming depressed. Conclusions: Patients are pleased to be informed about their risk for depression. We detected certain beliefs, attitudes, values, expectations and behaviour among the patients that were potentially useful for future primary prevention programmes on depression.
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/87368
https://doi.org/10.1371/journal.pone.0092008
url https://hdl.handle.net/11441/87368
https://doi.org/10.1371/journal.pone.0092008
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv PLOS ONE, 9 (3)
2008/0195
2008/111021
RD06/0018
RD06/0018/0020
RD07/0018/0017
RD07/0018/0018
RD07/0018/0027
RD06/0018/0039
https://doi.org/10.1371/journal.pone.0092008
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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