RESUMEN
Background: During the 2020 COVID-19 lockdown, patients included in the Interprofessional Medication Adherence Program (IMAP) in Switzerland continued to use electronic monitors (EMs) that registered daily drug-dose intake. We aimed to understand to what extent patients' medication implementation (ie, the extent to which the patient took the prescribed medicine), measured with EMs, was impacted by the lockdown. Methods: Patients participating in the IMAP were diagnosed with diabetic kidney disease (DKD), solid cancer, human immunodeficiency virus (HIV) and miscellaneous long-term diseases (MLTD). Patient implementation was defined through a proxy: if all patient EMs were opened at least once daily, implementation was considered active (=1), and no implementation was considered (=0) otherwise. Implementation before (from December 2019 to March 2020), during (March to June 2020) and after (June to September 2020) the lockdown was compared. Subanalyses were performed according to the patients' diseases. Subanalyses were performed in patients who used at least one EM in 2018-2019 during the same periods (defined as winter, spring and summer). The logistic regression models used to estimate medication implementation according to the period were fitted using generalized estimating equations. Results: In 2020, patient implementation (n = 118) did not differ significantly before versus during (OR = 0.98, 95% CI: 0.84-1.15, p = 0.789) and before versus after (OR = 0.91, 95% CI: 0.79-1.06, p = 0.217) the lockdown. These findings remained stable when separately analyzing the implementation of patients with HIV (n = 61), DKD (n = 25) or MLTD (n = 22). Too few patients with cancer were included (n = 10) to interpret the results. In 2019, the implementation of 61/118 (51.7%) patients was significantly lower during summertime versus wintertime (OR = 0.73, 95% CI: 0.60-0.89, p = 0.002). Conclusion: Medication implementation remained steady before, during and after the lockdown in 2020. The IMAP before, during and after the lockdown may have supported the adherence of most patients, by ensuring continuity of care during periods of routine disturbances.
RESUMEN
We hypothesize that patterns of sexual behavior play a role in the conformation of transmission networks, i.e., the way you behave might influence whom you have sex with. If that was the case, behavioral grouping might in turn correlate with, and potentially predict transmission networking, e.g., proximity in a viral phylogeny. We rigorously present an intuitive approach to address this hypothesis by quantifying mapped interactions between groups defined by similarities in sexual behavior along a virus phylogeny while discussing power and sample size considerations. Data from the Swiss HIV Cohort Study on condom use and hepatitis C virus (HCV) sequences served as proof-of-concept. In this case, a strict inclusion criteria contrasting with low HCV prevalence hindered our possibilities to identify significant relationships. This manuscript serves as guide for studies aimed at characterizing interactions between behavioral patterns and transmission networks. Large transmission networks such as those of HIV or COVID-19 are prime candidates for applying this methodological approach.