Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Endocrines, MDPI AG, Vol. 4, No. 1 ( 2023-03-09), p. 194-204
    Abstract: Worldwide regulations during COVID-19 positively and negatively impacted self-management in paediatric patients with chronic medical conditions. We investigated the impact of regulations on adherence to recombinant human growth hormone (r-hGH) therapy in paediatric patients with growth disorders, using real-world adherence data extracted March 2019–February 2020 (before COVID-19) and March 2020–February 2021 (during COVID-19) from the easypod™ connect ecosystem. Data from three measures of regulations were analysed: stringency index (SI), school closure and stay-at-home. The mean SI, and the proportion of days with required school closure or stay-at-home during COVID-19 were categorised as high versus medium/low based on the 75th percentile. Adherence was categorised as optimal (≥85%) versus suboptimal ( 〈 85%). Adherence data were available for 8915 patients before and 7606 patients during COVID-19. A high SI (mean ≥68) and a high proportion of required school closure (≥88%) resulted in an increase in the proportion of optimal adherence during COVID-19 versus pre-COVID-19 (p 〈 0.001). Stay-at-home requirements showed no statistically significant effect (p = 0.13). Stringent COVID-19 regulations resulted in improved adherence to r-hGH therapy in patients with growth disorders, supported by connected digital health technologies. Insights into patient behavior during this time are useful to understand potential influences and strategies to improve long-term adherence to r-hGH.
    Type of Medium: Online Resource
    ISSN: 2673-396X
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 3019981-5
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages