Computerization of the system of surveillance for Extremely-severe Maternal Morbidity in Cuba

Authors

  • Mayli Sánchez Rodríguez Ministerio de Salud Pública. La Habana. Cuba.
  • Yandy Zaldívar Mancha Empresa de Sistemas Automatizados. ALIMATIC. La Habana. Cuba.

Keywords:

SOFTWARE, SURVEILLANCE, MORBIDITY.

Abstract

Introduction: the use of information technology as a tool to support the medicine practice is a reality on the increase. At present, reducing maternal mortality rate remains a huge challenge. Extremely-severe maternal morbidity is a frequent indicator associated with maternal death. Its analysis provides the opportunity to identify and assess the risks present during pregnancy, delivery and puerperium.

 

Objective: to develop computer software that allows computerizing information regarding extremely severe maternal morbidity, which will be managed in the health centers all over the country.

 

Method: a technological development type research was carried out for which theoretical methods were used: historical-logical, induction-deduction and modeling. Using the empirical methods such as bibliographic review, observation and interview as well.

 

Results: the software was developed and oriented to manage the information of the patients, with specificities according to the Cuban health system. This system allows the collection, analysis and interpretation of information. It also provides statistics to draw strategies, to calculate the indicators and to generate graphics.

 

Conclusions: a pioneering product was obtained since there are no records in the country. With its conformation, the management process of patients with extremely-severe maternal morbidity was computerized and its application improves the quality of the information collected at the different levels.

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Author Biographies

Mayli Sánchez Rodríguez, Ministerio de Salud Pública. La Habana. Cuba.

Licenciada en Gestión de la Información en Salud.

Yandy Zaldívar Mancha, Empresa de Sistemas Automatizados. ALIMATIC. La Habana. Cuba.

Ingeniero en Ciencias Informáticas.

References

1- Rodríguez Díaz A, Vidal Ledo MJ, Cuellar Rojas A, Martínez González BD, Cabrera Arribas YM. Desarrollo de la informatización en Hospitales. INFODIR [Internet]. 2015 [citado 2017 nov 09]; (21): [aproximadamente 25 pp.]. Disponible en: http://www.revinfodir.sld.cu/index.php/infodir/article/view/121

2- Rodríguez Díaz A, García González G, Barthelemy Aguiar K. Informatización en el Sistema Nacional de Salud. Enfoques hacia la dirección en salud INFODIR [Internet]. 2013 [citado 2017 nov 09]; (16): [aproximadamente 13 pp.]. Disponible en: http://www.revinfodir.sld.cu/index.php/infodir/article/view/8/12

3- Organización Mundial de la Salud. La verdadera magnitud de la mortinatalidad y la muerte maternal y neonatal está subestimada [Internet]. 2016 [citado 2017 nov 09]. Disponible en: http://www.who.int/mediacentre/news/releases/2016/stillbirths-neonatal-deaths/es/

4- Organización Mundial de la Salud. Mortalidad materna [Internet]. 2016[citado 2017 nov 09]. Disponible en:http://www.who.int/mediacentre/factsheets/fs348/es/

5- Organización Mundial de la Salud. 10 Datos sobre la salud materna [Internet]. 2016 [citado 2016 diciembre 08]. Disponible en: http://www.who.int/features/factfiles/maternal_health/maternal_health_facts/es/

6- Dirección de Registros Médicos y Estadísticas de Salud. Anuario Estadístico de Salud 2016 [Internet]. La Habana; 2017 [citado 2017 abril 08]. Disponible en: http://files.sld.cu/dne/files/2017/05/Anuario_Estad%C3%ADstico_de_Salud_e_2016_edici%C3%B3n_2017.pdf

7-Organización Mundial de la Salud. Mortalidad materna[Internet]. 2015 [citado 2016 mayo 17] Disponible en: http://www.undp.org/content/undp/es/home/sdgoverview.html

8- Ospina Martínez ML, Martínez Duran ME, Pacheco García OE, Quijada Bonilla H. Morbilidad Materna Extrema. Grupo de Enfermedades No Transmisibles. Equipo Maternidad Segura [Internet]. 2016 [citado 2017 enero 08].Disponible en: http://www.ins.gov.co/lineas-de-accion/Subdireccion-Vigilancia/sivigila/Protocolos%20SIVIGILA/PRO%20Morbilidad%20Materna%20Extrema.pdf

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Published

2017-12-28

How to Cite

1.
Sánchez Rodríguez M, Zaldívar Mancha Y. Computerization of the system of surveillance for Extremely-severe Maternal Morbidity in Cuba. Rev Ciencias Médicas [Internet]. 2017 Dec. 28 [cited 2025 Sep. 19];22(1):85-91. Available from: https://revcmpinar.sld.cu/index.php/publicaciones/article/view/3300

Issue

Vol. 22 No. 1 (2018)

Section

ORIGINAL ARTICLES

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