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Revista Cubana de Información en Ciencias de la Salud (ACIMED)

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2021, Number 2

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Revista Cubana de Información en Ciencias de la Salud (ACIMED) 2021; 32 (2)

Digital tools as information aids for self-care in the time of COVID- 19 in Peru

Apaza RSG, Moscoso CJM
Full text How to cite this article

Language: Spanish
References: 32
Page: 1-23
PDF size: 405.73 Kb.


Key words:

COVID-19, mobile health, Internet, mobile applications, social network, Peru.

ABSTRACT

The purpose of the study was to analyze the metrics available for digital tools fostering self-care to understand their effects on the population in the time of COVID-19. A search was conducted about websites, mobile applications and social networks offering information to the population about COVID-19 and belonging to the Peruvian government or health-related official institutions. A review was performed of the metrics available for each digital tool with a view to an eventual evaluation of their use. The websites identified provided information about COVID-19 as well as updated data about existing cases, selfevaluation to rule out the disease and the report of results of diagnostic tests. The most visited website was that of the Government of Peru, which contained the website of the Ministry of Health. The mobile application of the Government of Peru "PerúEnTusManos" was the most commonly downloaded by the Peruvian population. Social networks, in joint cooperation with these digital tools, are actively used in Peru to inform and interact with the population in the time of COVID-19. Due to the rapid adaptability of websites and mobile applications, these have become an ideal information tool in Peru to face the COVID-19 pandemic.


REFERENCES

  1. Helmy YA, Fawzy M, Elaswad A, Sobieh A, Kenney SP, Shehata AA. TheCOVID-19 Pandemic: A Comprehensive Review of Taxonomy, Genetics,Epidemiology, Diagnosis, Treatment, and Control. J Clin Med [Internet]. 2020[acceso: 23/06/2020];9(4). Disponible en:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7230578/

  2. Triggle CR, Bansal D, Farag EABA, Ding H, Sultan AA. COVID-19: Learningfrom Lessons To Guide Treatment and Prevention Interventions. mSphere[Internet]. 2020 [acceso: 23/06/2020];5(3). Disponible en:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7227770/

  3. Munayco CV, Tariq A, Rothenberg R, Soto-Cabezas GG, Reyes MF, Valle A,et al. Early transmission dynamics of COVID-19 in a southern hemispheresetting. Lima-Perú: Infect Dis Model [Internet]. 2020 [acceso:23/06/2020];5:338-45. Disponible en:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215155/

  4. Keesara S, Jonas A, Schulman K. Covid-19 and Health Care’s DigitalRevolution. N Engl J Med [Internet]. 2020 [acceso: 23/06/2020];382(23):e82.Disponible en: https://www.nejm.org/doi/10.1056/NEJMp2005835

  5. Gozzer E, Canchihuamán F, Espinoza R. COVID-19 y la necesidad de actuarpara mejorar las capacidades del Perú frente a las pandemias. Rev Peru MedExp Salud Pública [Internet]. 2020 [acceso: 23/06/2020];37(2):371–3.Disponible en:https://rpmesp.ins.gob.pe/index.php/rpmesp/article/view/5410

  6. Palacios Cruz M, Santos E, Velázquez Cervantes MA, León Juárez M. COVID-19, una emergencia de salud pública mundial. Rev Clin Esp [Internet]. 2020[acceso: 23/06/2020]; Disponible en:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102523/

  7. Wosik J, Fudim M, Cameron B, Gellad ZF, Cho A, Phinney D, et al.Telehealth transformation: COVID-19 and the rise of virtual care. J Am MedInform Assoc JAMIA [Internet]. 2020 [acceso: 23/06/2020];27(6):957–62.Disponible en:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7188147/

  8. Wang B, Li R, Lu Z, Huang Y. Does comorbidity increase the risk of patientswith COVID-19: evidence from meta-analysis. Aging [Internet]. 2020 [acceso:23/06/2020];12(7):6049–57. Disponible en:https://pubmed.ncbi.nlm.nih.gov/32267833/

  9. Riegel B, Jaarsma T, Strömberg A. A middle-range theory of self-care ofchronic illness. ANS Adv Nurs Sci [Internet]. 2012 [acceso:30/12/2020];35(3):194-204. Disponible en:https://pubmed.ncbi.nlm.nih.gov/22739426/

  10. De María M, Ferro F, Ausili D, et al. Development and PsychometricTesting of the Self-Care in COVID-19 (SCOVID) Scale, an Instrument forMeasuring Self-Care in the COVID-19 Pandemic. Int J Environ Res Public Health[Internet]. 2020 [acceso: 30/12/2020];17(21):7834. Disponible en:https://pubmed.ncbi.nlm.nih.gov/33114651/

  11. World Health Organization. Self care during COVID-19 [Internet]. Geneva:WHO; 2020 [acceso: 24/07/2020]. Disponible en: https://www.who.int/newsroom/photo-story/photo-story-detail/self-care-during-covid-19

  12. Scott BK, Miller GT, Fonda SJ, Yeaw RE, Gaudaen JC, Pavliscsak HH, et al.Advanced Digital Health Technologies for COVID-19 and Future Emergencies.Telemed E-Health [Internet]. 2020 [acceso: 23/06/2020]. Disponible en:https://www.liebertpub.com/doi/full/10.1089/TMJ.2020.0140

  13. Mehraeen E, Hayati B, Saeidi S, Heydari M, Seyedalinaghi S. Self-CareInstructions for People Not Requiring Hospitalization for Coronavirus Disease2019 (COVID-19). Arch Clin Infect Dis [Internet]. 2020 [acceso:23/06/2020];15(COVID-19). Disponible en:https://sites.kowsarpub.com/archcid/articles/102978.html

  14. Judson TJ, Odisho AY, Neinstein AB, Chao J, Williams A, Miller C, et al.Rapid design and implementation of an integrated patient self-triage and selfschedulingtool for COVID-19. J Am Med Inform Assoc [Internet]. 2020 [acceso:23/06/2020];27(6):860-6. Disponible en:https://academic.oup.com/jamia/article/27/6/860/5817825

  15. Chirinos-Cáceres JL. La salud en el Perú en tiempos del coronavirus: Areflexionar. Rev Soc Peru Med Interna [Internet]. 2020 [acceso:25/07/2020];33(1):10–1. Disponible en:http://revistamedicinainterna.net/index.php/spmi/article/view/504

  16. López MJ, Continente X, Sánchez E, Bartroli M. Intervenciones queincluyen webs y redes sociales: herramientas e indicadores para suevaluación. Gac Sanit [Internet]. 2020 [acceso: 12/07/2020];31(4):346-8.Disponible en:http://scielo.isciii.es/scielo.php?script=sci_abstract&pid=S0213-91112017000400346&lng=es&nrm=iso&tlng=

  17. Udartseva OM. Key Traffic Metrics as a Basis to Measure LibraryPerformance. J Inform Sci Theor Pract [Internet]. 2020 2020;8(2):55–67. DOI:https://doi.org/10.1633/JISTAP.2020.8.2.5

  18. Baumel A, Kane JM. Examining Predictors of Real-World User Engagementwith Self-Guided eHealth Interventions: Analysis of Mobile Apps and WebsitesUsing a Novel Dataset. J Med Internet Res [Internet]. 2018 2020 [acceso:12/07/2020];20(12). Disponible en:https://pubmed.ncbi.nlm.nih.gov/30552077/

  19. Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M.Mobile App Rating Scale: A New Tool for Assessing the Quality of HealthMobile Apps. JMIR MHealth UHealth [Internet]. 2015 [acceso:12/07/2020];3(1):e27. Disponible en: https://mhealth.jmir.org/2015/1/e27/

  20. Grau I, Kostov B, Gallego JA, Grajales III F, Fernández-Luque L, Sisó-Almirall A. Método de valoración de aplicaciones móviles de salud en español:el índice iSYScore. SEMERGEN - Med Fam [Internet]. 2016 [acceso:29/06/2020];42(8):575–83. Disponible en:http://www.sciencedirect.com/science/article/pii/S1138359315004281

  21. Sandoval JV, Rodríguez FJÁ. Método de calificación de atributos decalidad en productos software médico regulado usando proceso analíticojerárquico y rúbrica de evaluación. ReCIBE Rev Comput Inform Bioméd Electr[Internet]. 2019 [acceso: 29/06/2020];8(2):1–1. Disponible en:http://recibe.cucei.udg.mx/ojs/index.php/ReCIBE/article/view/125

  22. Cuan-Baltazar JY, Muñoz-Perez MJ, Robledo-Vega C, Pérez-Zepeda MF,Soto-Vega E. Misinformation of COVID-19 on the Internet: InfodemiologyStudy. JMIR Public Health Surveill [Internet]. 2020 [acceso:20/07/2020];6(2):e18444. Disponible en:https://publichealth.jmir.org/2020/2/e18444/

  23. Ting DSW, Carin L, Dzau V, Wong TY. Digital technology and COVID-19. NatMed [Internet]. 2020 [acceso: 20/07/2020];26(4):459-61. Disponible en:https://www.nature.com/articles/s41591-020-0824-5

  24. Mahmood S, Hasan K, Carras MC, Labrique A. Global Preparedness AgainstCOVID-19: We Must Leverage the Power of Digital Health. JMIR Public Healthand Surveillance [Internet]. 2020 [acceso: 20/07/2020];6(2):e18980.Disponible en: https://publichealth.jmir.org/2020/2/e18980/

  25. Beaunoyer E, Dupéré S, Guitton MJ. COVID-19 and digital inequalities:Reciprocal impacts and mitigation strategies. Comput Hum Behav [Internet].2020 [acceso: 25/07/2020];111:106424. Disponible en:http://www.sciencedirect.com/science/article/pii/S0747563220301771

  26. Android and Google Play statistics, development resources andintelligence. AppBrain. 2020 [acceso: 18/07/2020]. Disponible en:https://www.appbrain.com/stats

  27. Muessig KE, Pike EC, LeGrand S, Hightow-Weidman LB. Mobile PhoneApplications for the Care and Prevention of HIV and Other SexuallyTransmitted Diseases: A Review. J Med Internet Res [Internet]. 2013 [acceso:18/07/2020];15(1):e1. Disponible en: https://www.jmir.org/2013/1/e1/

  28. Zhou L, Bao J, Setiawan IMA, Saptono A, Parmanto B. The mHealth AppUsability Questionnaire (MAUQ): Development and Validation Study. JMIRMHealth UHealth [Internet]. 2019 [acceso: 18/07/2020];7(4). Disponible en:https://mhealth.jmir.org/2019/4/e11500/

  29. Arnhold M, Quade M, Kirch W. Mobile applications for diabetics: asystematic review and expert-based usability evaluation considering thespecial requirements of diabetes patients age 50 years or older. J MedInternet Res [Internet]. 2014 [acceso: 18/07/2020];16(4):e104. Disponible en:https://pubmed.ncbi.nlm.nih.gov/24718852/

  30. Robbins T, Hudson S, Ray P, Sankar S, Patel K, Randeva H, et al. COVID-19: ¿Un nuevo amanecer digital? Digit Health [Internet]. 2020;6. DOI:https://doi.org/10.1177/2055207620920083

  31. Limaye RJ, Sauer M, Ali J, Bernstein J, Wahl B, Barnhill A, et al. Buildingtrust while influencing online COVID-19 content in the social media world. TheLancet Digital Health [Internet]. 2020 [acceso: 25/07/2020];2(6):e277-8.Disponible en: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30084-4/abstract

  32. Álvarez-Risco A, Mejia CR, Delgado-Zegarra J, Del-Aguila-Arcentales S,Arce-Esquivel AA, Valladares-Garrido MJ, et al. The Peru Approach against theCOVID-19 Infodemic: Insights and Strategies. Am J Trop Med Hyg. [Internet].2020 [acceso: 20/07/2020];103(2):583-6. Disponible en:https://pubmed.ncbi.nlm.nih.gov/32500853/




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Revista Cubana de Información en Ciencias de la Salud (ACIMED). 2021;32