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tion to help manage Type 1 Diabetes Mellitus effectively [online]. South
African Journal of Information Management, vol. 21, no. 1, pp. 1–10. Avail-
able from: https://doi.org/10.4102/sajim.v21i1.1050.
HASLUND-THOMSEN H., LAUGESEN B., HASSELBALCH L.A., 2020. Pa-
rental experiences of continuous glucose monitoring in danish chil-
dren with type 1 diabetes mellitus [online]. Journal of pediatric nurs-
ing, vol. 53, no. 2020, pp. 149–155. Available from: https://doi.org/10.1016/j.
pedn.2020.03.010.
HOLUBOVÁ A., VLASÁKOVÁ M., MUŽÍK J., BROŽ J., 2019. Customizing
the types of technologies used by patients with type 1 diabetes mellitus
for diabetes treatment: case series on patient experience [online]. JMIR
mHealth and uHealth, vol. 7, no. 7: 1–17. Available from: doi: 10.2196/11527.
KANSTRUP A.M., BERTELSEN P., NØHR C., 2015. Patient innovation: an
analysis of patients’ designs of digital technology support for everyday
living with diabetes [online]. Health information management: journal
of the Health Information Management Association of Australia, vol. 44,
no. 1, pp. 12–20. Available from: https://doi.org/10.1177/183335831504400102.
KITSIOU S., PARÉ G., JAANA M., GERBER B., 2017. Effectiveness of mHealth
interventions for patients with diabetes: an overview of systematic re-
views [online]. PLoS ONE, vol. 12, no. 3, pp. e0173160. Available from:
https://doi.org/10.1371/journal.pone.0173160.
KRISHNAN G., SELVAM G., 2019. Factors influencing the download of mobile
health apps: Content review-led regression analysis [online]. Health Pol-
icy and Technology, vol. 8, no. 4, pp. 356–364. Available from: https://doi.
org/10.1016/j.hlpt.2019.09.001.
LANZOLA G., LOSIOUK E., DEL FAVERO S., FACCHINETTI A., GALDE-
RISI A., QUAGLINI S., MAGNI L., COBELLI C., 2016. Remote Blood
Glucose Monitoring in mHealth Scenarios: A Review [online]. Sensors
(Basel, Switzerland), vol. 16, no. 12, pp. 1983. Available from: https://doi.
org/10.3390/s16121983.
MURILLO M., BEL J., PEREZ J., CORRIPIO R., CARRERAS G., HERRERO
X., MENGIBAR J.M., RODRIGUEZ-ARJONA D., RAVENS-SIEBERER
U., RAAT H., et al., 2017. Impact of monitoring health-related quality of
life in clinical practice in children with type 1 diabetes mellitus [onli-
ne]. Qual Life Res, vol. 26, no. 12, pp. 3267–3277. Available from: 10.1007/
s11136-017-1682-6.
NANA M., MOORE S.L., ANG E., LEE Z.X., BONDUGULAPATI L.N.R.,
2019. Flash glucose monitoring: Impact on markers of glycaemic control
and patient-reported outcomes in individuals with type 1 diabetes melli-
tus in the real-world setting [online]. Diabetes research and clinical prac-
tice, vol. 157, no. 2019, pp. 1–9. Available from: https://doi.org/10.1016/j.di-
abres.2019.107893.
tion to help manage Type 1 Diabetes Mellitus effectively [online]. South
African Journal of Information Management, vol. 21, no. 1, pp. 1–10. Avail-
able from: https://doi.org/10.4102/sajim.v21i1.1050.
HASLUND-THOMSEN H., LAUGESEN B., HASSELBALCH L.A., 2020. Pa-
rental experiences of continuous glucose monitoring in danish chil-
dren with type 1 diabetes mellitus [online]. Journal of pediatric nurs-
ing, vol. 53, no. 2020, pp. 149–155. Available from: https://doi.org/10.1016/j.
pedn.2020.03.010.
HOLUBOVÁ A., VLASÁKOVÁ M., MUŽÍK J., BROŽ J., 2019. Customizing
the types of technologies used by patients with type 1 diabetes mellitus
for diabetes treatment: case series on patient experience [online]. JMIR
mHealth and uHealth, vol. 7, no. 7: 1–17. Available from: doi: 10.2196/11527.
KANSTRUP A.M., BERTELSEN P., NØHR C., 2015. Patient innovation: an
analysis of patients’ designs of digital technology support for everyday
living with diabetes [online]. Health information management: journal
of the Health Information Management Association of Australia, vol. 44,
no. 1, pp. 12–20. Available from: https://doi.org/10.1177/183335831504400102.
KITSIOU S., PARÉ G., JAANA M., GERBER B., 2017. Effectiveness of mHealth
interventions for patients with diabetes: an overview of systematic re-
views [online]. PLoS ONE, vol. 12, no. 3, pp. e0173160. Available from:
https://doi.org/10.1371/journal.pone.0173160.
KRISHNAN G., SELVAM G., 2019. Factors influencing the download of mobile
health apps: Content review-led regression analysis [online]. Health Pol-
icy and Technology, vol. 8, no. 4, pp. 356–364. Available from: https://doi.
org/10.1016/j.hlpt.2019.09.001.
LANZOLA G., LOSIOUK E., DEL FAVERO S., FACCHINETTI A., GALDE-
RISI A., QUAGLINI S., MAGNI L., COBELLI C., 2016. Remote Blood
Glucose Monitoring in mHealth Scenarios: A Review [online]. Sensors
(Basel, Switzerland), vol. 16, no. 12, pp. 1983. Available from: https://doi.
org/10.3390/s16121983.
MURILLO M., BEL J., PEREZ J., CORRIPIO R., CARRERAS G., HERRERO
X., MENGIBAR J.M., RODRIGUEZ-ARJONA D., RAVENS-SIEBERER
U., RAAT H., et al., 2017. Impact of monitoring health-related quality of
life in clinical practice in children with type 1 diabetes mellitus [onli-
ne]. Qual Life Res, vol. 26, no. 12, pp. 3267–3277. Available from: 10.1007/
s11136-017-1682-6.
NANA M., MOORE S.L., ANG E., LEE Z.X., BONDUGULAPATI L.N.R.,
2019. Flash glucose monitoring: Impact on markers of glycaemic control
and patient-reported outcomes in individuals with type 1 diabetes melli-
tus in the real-world setting [online]. Diabetes research and clinical prac-
tice, vol. 157, no. 2019, pp. 1–9. Available from: https://doi.org/10.1016/j.di-
abres.2019.107893.
