Interrupted time series (ITS) analysis is arguably the strongest quasi-experimental research
design. ITS is particularly useful when a randomized trial is infeasible or unethical. The …

ContextPrescription drugs are instrumental to managing and preventing chronic disease.
Recent changes in US prescription drug cost sharing could affect access to them …

Interrupted time series design is the strongest, quasi‐experimental approach for evaluating
longitudinal effects of interventions. Segmented regression analysis is a powerful statistical …

Objective: The objective of this study was to evaluate the impact of medication adherence on
healthcare utilization and cost for 4 chronic conditions that are major drivers of drug …

Medical practice in the United States has changed dramatically in the last several decades,
especially with more frequent use of prescription drugs. A higher volume and better-quality …

Interrupted time series (ITS) is a powerful and increasingly popular design for evaluating
public health and health service interventions. The design involves analyzing trends in the …

With the efficacy and costs of medications rising rapidly, it is increasingly important to ensure
that drugs be prescribed as rationally as possible. Yet, physicians' choices of drugs …

ContextRising costs of medications and inequities in access have sparked calls for drug
policy reform in the United States and Canada. Control of drug expenditures by prescription …

Adherence to medication is one of the most intriguing and complex behaviours
demonstrated by patients. Non-adherence to a therapeutic regimen may result in negative …

Objective Up to 32% of older patients take less medication than prescribed to avoid costs,
yet a comprehensive assessment of risk factors for cost-related nonadherence (CRN) is not …