dc.date.accessioned2022-09-09T18:52:23Z
dc.date.available2022-09-09T18:52:23Z
dc.date.created2022-09-09T18:52:23Z
dc.date.issued2022
dc.identifierhttps://hdl.handle.net/20.500.12866/12155
dc.identifierhttps://doi.org/10.1007/s44192-022-00015-0
dc.description.abstractTwo randomized controlled trials (RCTs) in Brazil and Peru demonstrated the effectiveness of CONEMO, a digital intervention supported by trained nurses or nurse assistants (NAs), to reduce depressive symptoms in people with diabetes and/or hypertension. This paper extends the RCTs findings by reflecting on the conditions needed for its wider implementation in routine care services. A qualitative study using semi-structured interviews and content analysis was conducted with nurses/NAs, clinicians, healthcare administrators, and policymakers. Informants reported that CONEMO would be feasible to implement in their health services, but some conditions could be improved before its scale-up: reducing workloads of healthcare workers; raising mental health awareness among clinicians and administrators; being able to inform, deliver and accompany the intervention; assuring appropriate training and supervision of nurses/NAs; and supporting the use of technology in public health services and by patients, especially older ones. We discuss some suggestions on how to overcome these challenges.
dc.languageeng
dc.publisherSpringer
dc.relationDiscover Mental Health
dc.relation2731-4383
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectDigital mental health
dc.subjectQualitative research
dc.subjectDepression
dc.subjectHealth services
dc.subjectLatin America
dc.subjectImplementation science
dc.titleImplementation and scalability of a digital intervention to reduce depressive symptoms in people with diabetes, hypertension or both in Brazil and Peru: a qualitative study of health system's stakeholders' perspectives
dc.typeinfo:eu-repo/semantics/article


Este ítem pertenece a la siguiente institución