Patient nonadherence to prescribed medications is associated with:
A big picture point of view shows that poor medication adherence results in approximately $100 billion per year in wasteful healthcare spending. Figure 2 cited in a study by the IMS Institute for Healthcare Informatics shows those costs by care setting.
A big picture point of view shows that poor medication adherence results in approximately $100 billion per year in wasteful healthcare spending. – Brandon Conroy, Practice Director, Retirement Analytics.
There is substantial evidence that the long-term cost of poor outcomes exceeds the cost of medications in many chronic illnesses.
Factors contributing to poor medication adherence are wide ranging and complex, and vary by role. They include:
Cardiovascular complications resulting from hypertension, hyperlipidemia, and diabetes lead to substantial disability, morbidity, and mortality.
Medications reduce the risk of stroke by approximately 30% and myocardial infarction by approximately 15%. Despite that, evidence from a number of studies suggests that:
As many as 50% to 80% of patients treated for hypertension are nonadherent to their treatment regimen, according to studies.
Nonadherence to lipid-lowering and antiplatelet therapies is associated with an increased risk of adverse cardiovascular outcomes.
*Source for statistics cited in this section: Medication Adherence: WHO Cares?
Researchers have estimated that health-related productivity losses are 2.3 times higher than direct healthcare costs (JOEM).
Another study from the Journal of Occupational and Environmental Medicine (JOEM), “Impact of Medication Adherence on Absenteeism and Short-Term Disability for Five Chronic Diseases,” estimated absenteeism and disability costs due to medication nonadherence. Figure 4 below depicts some of the findings.
Do you know how many of your employees and their dependents are taking their medications as prescribed? Is noncompliance impacting your disability costs, absenteeism rates, and productivity?
If you can’t answer these questions you can’t design effective programs to address the issues.
Your benefits data holds the answers. Make benefits data analytics a New Year’s resolution for 2019.
I wish all my readers a safe and happy holiday season, and a prosperous New Year. I will post my next blog on January 16.