Plan de marketing SERFELZ® Sertralina 50 Mg – Caja X 30 Tabletas Masticables Sabor A Menta

Este plan de marketing tiene como objetivo posicionar a Colpharma como líder en el mercado de los productos farmacéuticos para el tratamiento del cuadro de depresión severa, mediante el lanzamiento de SERFELZ® sertralina 50 mg – caja x 30 tabletas, a través de los factores claves de éxito, como lo s...

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Autores:
Prieto Linares, Héctor Dayan
Martinez Valdés, Ernesto Raul
Escobar Matiz, Felipe
Lombana Patarroyo, Cindy Daniela
Tipo de recurso:
https://purl.org/coar/resource_type/c_7a1f
Fecha de publicación:
2025
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
spa
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/13997
Acceso en línea:
https://hdl.handle.net/20.500.12495/13997
Palabra clave:
Mercadeo
Farmacéutico
Gerencia
Comercial
658.8615
Marketing
Pharmaceutical
Management
Commercial
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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network_acronym_str UNBOSQUE2
network_name_str Repositorio U. El Bosque
repository_id_str
dc.title.none.fl_str_mv Plan de marketing SERFELZ® Sertralina 50 Mg – Caja X 30 Tabletas Masticables Sabor A Menta
dc.title.translated.none.fl_str_mv SERFELZ® Marketing Plan Sertraline 50 Mg - Box X 30 Mint Flavor Chewable Tablets
title Plan de marketing SERFELZ® Sertralina 50 Mg – Caja X 30 Tabletas Masticables Sabor A Menta
spellingShingle Plan de marketing SERFELZ® Sertralina 50 Mg – Caja X 30 Tabletas Masticables Sabor A Menta
Mercadeo
Farmacéutico
Gerencia
Comercial
658.8615
Marketing
Pharmaceutical
Management
Commercial
title_short Plan de marketing SERFELZ® Sertralina 50 Mg – Caja X 30 Tabletas Masticables Sabor A Menta
title_full Plan de marketing SERFELZ® Sertralina 50 Mg – Caja X 30 Tabletas Masticables Sabor A Menta
title_fullStr Plan de marketing SERFELZ® Sertralina 50 Mg – Caja X 30 Tabletas Masticables Sabor A Menta
title_full_unstemmed Plan de marketing SERFELZ® Sertralina 50 Mg – Caja X 30 Tabletas Masticables Sabor A Menta
title_sort Plan de marketing SERFELZ® Sertralina 50 Mg – Caja X 30 Tabletas Masticables Sabor A Menta
dc.creator.fl_str_mv Prieto Linares, Héctor Dayan
Martinez Valdés, Ernesto Raul
Escobar Matiz, Felipe
Lombana Patarroyo, Cindy Daniela
dc.contributor.advisor.none.fl_str_mv Hoyos, Héctor Iván
dc.contributor.author.none.fl_str_mv Prieto Linares, Héctor Dayan
Martinez Valdés, Ernesto Raul
Escobar Matiz, Felipe
Lombana Patarroyo, Cindy Daniela
dc.subject.none.fl_str_mv Mercadeo
Farmacéutico
Gerencia
Comercial
topic Mercadeo
Farmacéutico
Gerencia
Comercial
658.8615
Marketing
Pharmaceutical
Management
Commercial
dc.subject.ddc.none.fl_str_mv 658.8615
dc.subject.keywords.none.fl_str_mv Marketing
Pharmaceutical
Management
Commercial
description Este plan de marketing tiene como objetivo posicionar a Colpharma como líder en el mercado de los productos farmacéuticos para el tratamiento del cuadro de depresión severa, mediante el lanzamiento de SERFELZ® sertralina 50 mg – caja x 30 tabletas, a través de los factores claves de éxito, como lo son la diferenciación farmacéutica por ser primera y única sertralina masticables sabor a menta, perfil de seguridad y eficacia y educación en salud mental y promoción de la app de FELIZIA.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-02-18T20:01:06Z
dc.date.available.none.fl_str_mv 2025-02-18T20:01:06Z
dc.date.issued.none.fl_str_mv 2025-01-15
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_7a1f
dc.type.local.spa.fl_str_mv Tesis/Trabajo de grado - Monografía - Especialización
dc.type.coar.none.fl_str_mv https://purl.org/coar/resource_type/c_7a1f
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.coarversion.none.fl_str_mv https://purl.org/coar/version/c_ab4af688f83e57aa
format https://purl.org/coar/resource_type/c_7a1f
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12495/13997
dc.identifier.instname.spa.fl_str_mv instname:Universidad El Bosque
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Universidad El Bosque
dc.identifier.repourl.none.fl_str_mv repourl:https://repositorio.unbosque.edu.co
url https://hdl.handle.net/20.500.12495/13997
identifier_str_mv instname:Universidad El Bosque
reponame:Repositorio Institucional Universidad El Bosque
repourl:https://repositorio.unbosque.edu.co
dc.language.iso.fl_str_mv spa
language spa
dc.relation.references.none.fl_str_mv 1. Walters, K. (2014). The purpose and value of mHealth for the University of North Carolina at Chapel Hill: A white paper on mHealth. UNC Health Sciences Library. Recuperado el 10 de enero de 2022, de https://www.example.com
2. Bradway, M., Carrion, C., Vallespin, B., Saadatfard, O., Puigdomènech, E., Espallargues, M., Kotzeva, A. (2017). mHealth assessment: Conceptualization of a global framework. JMIR MHealth and UHealth, 5(5), e60. https://doi.org/10.2196/mhealth.7291
3. Garrido, S., Millington, C., Cheers, D., Boydell, K., Schubert, E., Meade, T., & Nguyen, Q. V. (2019). What works and what doesn't work? A systematic review of digital mental health interventions for depression and anxiety in young people. Frontiers in Psychiatry, 10, 759. https://doi.org/10.3389/fpsyt.2019.00759
4. Muñoz, A. O., Camacho, E., & Torous, J. (2021). Marketplace and literature review of Spanish language mental health apps. Frontiers in Digital Health, 3, 615366. https://doi.org/10.3389/fdgth.2021.615366
5. Duarte-Díaz, A., Perestelo-Pérez, L., Gelabert, E., Robles, N., Pérez-Navarro, A., Vidal-Alaball, J., Solà-Morales, O., Masnou Halls, A., & Carrión, C. (2023). Efficacy, safety, and evaluation criteria of mHealth interventions for depression: Systematic review. JMIR Mental Health, 10, e46877. https://doi.org/10.2196/46877
6. Jacobson, N. C., & Chung, Y. J. (2020). Passive sensing of prediction of moment-to-moment depressed mood among undergraduates with clinical levels of depression sample using smartphones. Sensors (Basel), 20(12), 3572. https://doi.org/10.3390/s20123572
7. Ospina-Pinillos, L., Davenport, T. A., Navarro-Mancilla, A. A., et al. (2020). Involving end users in adapting a Spanish version of a web-based mental health clinic for young people in Colombia: Exploratory study using participatory design methodologies. JMIR Mental Health, 7(2), e15914. https://doi.org/10.2196/15914
8. Mitchum, R. (n.d.). Apps and AI could help personalize depression diagnosis and treatment. UIC Today. Recuperado de https://today.uic.edu/apps-and-ai-could-help-personalize-depression-diagnosis-and-treatment/
9. Bae, H., Shin, H., Ji, H., Kwon, J. S., Kim, H., & Hur, J. (2023). App-based interventions for moderate to severe depression: A systematic review and meta-analysis. JAMA Network Open, 6(11), e2344120. https://doi.org/10.1001/jamanetworkopen.2023.44120
10. National Public Radio (NPR). (2024, abril 4). The FDA has approved the first app to help treat depression. Recuperado de https://www.npr.org/2024/04/04/1242721542/the-fda-has-approved-the-first-app-to-help-treat-depression
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.local.spa.fl_str_mv Acceso abierto
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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eu_rights_str_mv openAccess
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.program.spa.fl_str_mv Especialización en Gerencia de Marketing Farmacéutico
dc.publisher.grantor.spa.fl_str_mv Universidad El Bosque
dc.publisher.faculty.spa.fl_str_mv Facultad de Ciencias Económicas y Administrativas
institution Universidad El Bosque
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spelling Hoyos, Héctor IvánPrieto Linares, Héctor DayanMartinez Valdés, Ernesto RaulEscobar Matiz, FelipeLombana Patarroyo, Cindy Daniela2025-02-18T20:01:06Z2025-02-18T20:01:06Z2025-01-15https://hdl.handle.net/20.500.12495/13997instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coEste plan de marketing tiene como objetivo posicionar a Colpharma como líder en el mercado de los productos farmacéuticos para el tratamiento del cuadro de depresión severa, mediante el lanzamiento de SERFELZ® sertralina 50 mg – caja x 30 tabletas, a través de los factores claves de éxito, como lo son la diferenciación farmacéutica por ser primera y única sertralina masticables sabor a menta, perfil de seguridad y eficacia y educación en salud mental y promoción de la app de FELIZIA.Especialista en Gerencia de Marketing FarmacéuticoEspecializaciónThis marketing plan aims to position Colpharma as a leader in the market of pharmaceutical products for the treatment of severe depression, by launching SERFELZ® sertraline 50 mg - box x 30 tablets, through key success factors, such as pharmaceutical differentiation for being the first and only mint-flavored chewable sertraline, safety and efficacy profile and mental health education and promotion of the FELIZIA app.application/pdfAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Acceso abiertoinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2MercadeoFarmacéuticoGerenciaComercial658.8615MarketingPharmaceuticalManagementCommercialPlan de marketing SERFELZ® Sertralina 50 Mg – Caja X 30 Tabletas Masticables Sabor A MentaSERFELZ® Marketing Plan Sertraline 50 Mg - Box X 30 Mint Flavor Chewable TabletsEspecialización en Gerencia de Marketing FarmacéuticoUniversidad El BosqueFacultad de Ciencias Económicas y AdministrativasTesis/Trabajo de grado - Monografía - Especializaciónhttps://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/bachelorThesishttps://purl.org/coar/version/c_ab4af688f83e57aa1. Walters, K. (2014). The purpose and value of mHealth for the University of North Carolina at Chapel Hill: A white paper on mHealth. UNC Health Sciences Library. Recuperado el 10 de enero de 2022, de https://www.example.com2. Bradway, M., Carrion, C., Vallespin, B., Saadatfard, O., Puigdomènech, E., Espallargues, M., Kotzeva, A. (2017). mHealth assessment: Conceptualization of a global framework. JMIR MHealth and UHealth, 5(5), e60. https://doi.org/10.2196/mhealth.72913. Garrido, S., Millington, C., Cheers, D., Boydell, K., Schubert, E., Meade, T., & Nguyen, Q. V. (2019). What works and what doesn't work? A systematic review of digital mental health interventions for depression and anxiety in young people. Frontiers in Psychiatry, 10, 759. https://doi.org/10.3389/fpsyt.2019.007594. Muñoz, A. O., Camacho, E., & Torous, J. (2021). Marketplace and literature review of Spanish language mental health apps. Frontiers in Digital Health, 3, 615366. https://doi.org/10.3389/fdgth.2021.6153665. Duarte-Díaz, A., Perestelo-Pérez, L., Gelabert, E., Robles, N., Pérez-Navarro, A., Vidal-Alaball, J., Solà-Morales, O., Masnou Halls, A., & Carrión, C. (2023). Efficacy, safety, and evaluation criteria of mHealth interventions for depression: Systematic review. JMIR Mental Health, 10, e46877. https://doi.org/10.2196/468776. Jacobson, N. C., & Chung, Y. J. (2020). Passive sensing of prediction of moment-to-moment depressed mood among undergraduates with clinical levels of depression sample using smartphones. Sensors (Basel), 20(12), 3572. https://doi.org/10.3390/s201235727. Ospina-Pinillos, L., Davenport, T. A., Navarro-Mancilla, A. A., et al. (2020). Involving end users in adapting a Spanish version of a web-based mental health clinic for young people in Colombia: Exploratory study using participatory design methodologies. JMIR Mental Health, 7(2), e15914. https://doi.org/10.2196/159148. Mitchum, R. (n.d.). Apps and AI could help personalize depression diagnosis and treatment. UIC Today. Recuperado de https://today.uic.edu/apps-and-ai-could-help-personalize-depression-diagnosis-and-treatment/9. Bae, H., Shin, H., Ji, H., Kwon, J. S., Kim, H., & Hur, J. (2023). App-based interventions for moderate to severe depression: A systematic review and meta-analysis. JAMA Network Open, 6(11), e2344120. https://doi.org/10.1001/jamanetworkopen.2023.4412010. National Public Radio (NPR). (2024, abril 4). The FDA has approved the first app to help treat depression. 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