Beyond Antiretroviral Treatment: Patterns and Factors Associated With Composite Medication Adherence Before and During the COVID-19 Pandemic in Patients With HIV With Multiple Chronic Conditions.

BACKGROUND: Polypharmacy for multiple chronic conditions (MCCs) poses an increasing challenge in people with HIV (PWH). This research explores medication adherence in PWH with MCCs before and during COVID-19. SETTING: Kaiser Permanente Mid-Atlantic States. METHODS: Medical and pharmacy records of a continuously enrolled cohort (September 2018-September 2021) of adult PWH were used. To estimate medication adherence, monthly proportion of days covered (PDC) was measured individually for antiretrovirals (ARVs), diabetes medications (DMs), renin-angiotensin antagonists (RASMs), and statins (SMs) and combined into composite measures (CMs) with and without ARVs. Descriptive statistics, time-series models, and multivariable population-averaged panel general estimating equations were used to profile trends, effects, and factors associated with adherence. RESULTS: The cohort (n = 543) was predominantly 51-64 years old (59.3%), Black (73.1%), male (69.2%), and commercially insured (65.4%). Two-thirds (63.7%) of patients were taking medications in 2 medication groups (ie, ARVs and either DMs, RASMs, or SMs), 28.9% were taking medications in 3 medication groups, and 7.4% were taking medications in all 4 medication groups. Overall, PDC for CMs without ARVs was 77.2% and 70.2% with ARVs. After March 2020, negative monthly trends in PDC were observed for CMs without ARVs (ß = -0.1%, P = 0.003) and with ARVs (ß = -0.3%, P = 0.001). For CMs with ARVs, Black race (aOR = 0.5; P < 0.001; ref: White) and taking medications for 3 medication groups (aOR = 0.8; P < 0.02; ref: 2) were associated with lower adherence. CONCLUSION: Decreasing medication adherence trends were observed during the COVID-19 pandemic with variations among population subgroups. Opportunity exists to improve medication adherence for non-White populations and those taking medications for MCCs beyond ARVs.

Time-series analysis of recent antihyperglycemic medication prescribing trends for a diverse sample of Medicare enrollees with type 2 diabetes mellitus in an integrated health system.

PURPOSE: Despite high type 2 diabetes mellitus (T2DM) prevalence in Medicare enrollees, newer therapeutic options, and revised treatment guidelines, little is known about US antihyperglycemic prescribing trends after 2015. This research describes recent monthly antihyperglycemic prescribing trends in a large, diverse population of Medicare enrollees from the US Mid-Atlantic region. METHODS: Encounter data (July 2018-July 2020) for Medicare enrollees 65 years of age or older with T2DM were extracted from electronic health records of a large integrated health system. Descriptive time-series regression models were estimated to describe monthly prescribing rates (ie, prescription orders per 100 eligible plan members with T2DM) overall and by medication subgroups for all-eligible and continuously-eligible samples. Trends in monthly prescription orders per 100 eligible plan members with T2DM were reported. RESULTS: The monthly all-eligible member sample (n > 22,000) exhibited an overall positive baseline monthly prescribing rate of 23.88 T2DM medication orders per 100 members with T2DM and a significant positive monthly prescribing rate trend (ie, change) of 0.12 T2DM medication orders per 100 members with T2DM (P < 0.05). Subgroup T2DM medication order rates per 100 members with T2DM at baseline were 16.28 for first-generation medications, 3.87 for human insulins, 3.04 for insulin analogs, 0.58 for second-generation medications, and 0.11 for combination medications. Human insulins, insulin analogs, and second-generation medications had positive monthly trends (P < 0.05). Among second-generation medications, sodium-glucose cotransporter 2 (SGLT-2) inhibitors and glucagon-like peptide 1 (GLP-1) agonists had positive monthly trends (P < 0.05). Continuously eligible members with T2DM (n = 19,185) had no significant overall monthly prescribing trend; however, human insulins, insulin analogs, and second-generation medications and the SGLT-2 inhibitor class had positive monthly prescribing trends (P < 0.05). CONCLUSION: In a diverse Medicare sample, this study observed increasing monthly trends for second-generation medications, human insulins, and insulin analogs consistent with emerging evidence. Among second-generation medications, SGLT-2 inhibitors became the most commonly prescribed over time.