Noncommunicable diseases (NCDs) place a huge burden on healthcare systems and society as a whole. Relatively early in the coronavirus disease 2019 (COVID-19) pandemic, clinicians became aware that in individuals infected with COVID-19, those with preexisting NCDs such as diabetes mellitus and cardiovascular disease (CVD) were at a greater risk of poor outcomes and mortality than those without. The importance of adherence to medications and lifestyle changes to control and prevent NCDs has been a major focus for many years, but with limited success -the proportion of patients adherent and persistent to their medications remains very low. There are many facets to adherence and persistence. Recent evidence suggests that a patient-centric approach is important, and ensuring that a patient is both motivated and empowered is critical to improving adherence/persistence. The COVID-19 pandemic has brought many changes to the way in which patients with NCDs are managed, with telemedicine and ehealth becoming more common. Changes have also occurred in the way in which patients can gain access to medications during the pandemic. The potential for these changes forms the basis of improving the management of patients with NCDs both during and after the pandemic. Over the coming months, a huge amount of work will be put into initiatives to promote adherence to COVID-19 vaccination programs. Those at highest risk of severe COVID-19, such as people aged 80 years and older, are likely to receive the vaccine first in some parts of world. Finally, social determinants of health are critical elements that can impact not just the likelihood of having an NCD or becoming infected with COVID-19, but also access to healthcare, and a patient's adherence and persistence with their treatments.

A vast quantity of real-world data (RWD) are available to healthcare researchers. Such data come from diverse sources such as electronic health records, insurance claims and billing activity, product and disease registries, medical devices used in the home, and applications on mobile devices. The analysis of RWD produces real-world evidence (RWE), which is clinical evidence that provides information about usage and potential benefits or risks of a drug. This review defines and explains RWD, and it also details how regulatory authorities are using RWD and RWE. The main challenges in harnessing RWD include collating and analyzing numerous disparate types or categories of available information including both structured (eg, field entries) and unstructured (eg, doctor notes, discharge summaries, social media posts) data. Although the use of artificial intelligence to capture, amalgamate, standardize, and analyze RWD is still evolving, it has the potential to support the increased use of RWE to improve global health and healthcare.

Noncommunicable diseases (NCDs) are the leading causes of mortality and morbidity across the world and factors influencing global poverty and slowing economic development. We summarize how the potential power of real-world data (RWD) and real-world evidence (RWE) can be harnessed to help address the disease burden of NCDs at global, national, regional and local levels. RWE is essential to understand the epidemiology of NCDs, quantify NCD burdens, assist with the early detection of vulnerable populations at high risk of NCDs by identifying the most influential risk factors, and evaluate the effectiveness and cost-benefits of treatments, programs, and public policies for NCDs. To realize the potential power of RWD and RWE, challenges related to data integration, access, interoperability, standardization of analytical methods, quality control, security, privacy protection, and ethical standards for data use must be addressed. Finally, partnerships between academic centers, governments, pharmaceutical companies, and other stakeholders aimed at improving the utilization of RWE can have a substantial beneficial impact in preventing and managing NCDs.

Purpose To investigate clinical management of primary open-angle glaucoma (POAG) in the United States using real-world evidence and to examine healthcare resource utilization (HCRU), medication adherence/persistence, and procedure use. Design A cross-sectional, retrospective analysis of Optum’s de-identified Market Clarity Dataset (July 1, 2013–December 31, 2019). Patients and Methods Patients ≥18 years with POAG diagnosis and continuous enrollment for 1-year pre- and post-index were eligible and categorized into four mutually exclusive cohorts: CH1, treated with antiglaucoma medication(s) only; CH2, underwent glaucoma procedure(s) only; CH3, treated with antiglaucoma medication(s) and underwent procedure(s); and CH4, received no treatment for POAG. Adherence and persistence with antiglaucoma medications, and disease-specific HCRU were analyzed. Pairwise two-sample comparisons and multivariate regressions were conducted. Results Examined 232,572 eligible patients (CH1=60,895; CH2=4330; CH3=6027; CH4=161,320). Prostaglandin analogs were most prescribed antiglaucoma medications (CH1: 69.7%; CH3: 62.7%), of which latanoprost was most common (CH1: 51.3%; CH3: 46.1%). Disease-specific office visits occurred in 26.3%, 78.2%, 75.0%, 23.8%, and surgical services visits occurred in 3.8%, 36.3%, 42.5%, 3.3%, in CH1-CH4, respectively. Adherence was higher (medication possession ratio: 47.1% vs 39.4%; P<0.0001), and more patients remained persistent across 1-year post-index period in CH1 vs CH3 (25.4% vs 16.1%; P<0.0001). Positive predictors of medication persistence included being female, ≥55 years, and history of dyslipidemia or thyroid disease (all P≤0.0003). Conclusion Overall, 70% POAG patients might not have received antiglaucoma treatment. Since POAG is a slowly progressive blinding disease, the lack of antiglaucoma treatment and suboptimal adherence/persistence with medications are of major concerns. Targeted screening and educational approaches are needed to improve POAG management.

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