Patients' Preferences for Sodium-Glucose Cotransporter 2 Inhibitors and Glucagon-Like Peptide-1 Receptor Agonists.

Purpose: To determine patients' preferences for sodium-glucose cotransporter 2 inhibitors (SGLT-2is) and glucagon-like peptide-1 receptor agonists (GLP-1RAs). Patients and Methods: A cross-sectional, web-based discrete choice experiment was conducted among US adults with type 2 diabetes mellitus (T2DM) in May 2021. Six attributes-the route and frequency of administration, the chance of reaching target HbA1c in six months, the percentage reduction in the risk of major adverse cardiovascular events (MACE), the chance of gastrointestinal side effects, the chance of genital infection, and out-of-pocket cost per month-were identified from literature review and consultation with patients and clinicians. A Bayesian efficient design was used to generate choice sets. Each choice set contained two hypothetical SGLT-2i and GLP-1 RA alternatives described by the attributes and an opt-out alternative. A total of 176 patients were asked to select the most preferred option from each choice set. Mixed logit (ML) and latent class (LC) models were developed. The conditional relative importance of each attribute was determined. Results: The ML model showed the out-of-pocket cost had the highest conditional relative importance, followed by the chance of reaching the target HbA1c. The best LC model revealed two patient classes. All attributes were significantly important to the patients in both classes, except the chance of genital infection in class 2. Compared to the patients in class 2, the patients in class 1 were older (approximately 65 vs 56 years) and had a higher number of comorbidities (approximately three vs two). Conclusion: T2DM patients placed different preference weights or importance across SGLT-2i and GLP-1 RA attributes. Preference heterogeneity was found among patients with different ages and numbers of comorbidities.

Recommendations to protect patients and health care practices from Medicare and Medicaid fraud.

Fraud is defined as knowingly submitting, or causing to be submitted, false claims or making misrepresentations of a fact to obtain a federal health care payment for which no entitlement would otherwise exist. In today's health care environment, Medicare and Medicaid fraud is not uncommon. The negative impact of fraud is vast because it diverts resources meant to care for patients in need to the benefit of fraudsters. Fraud increases the overall costs for vital health care services and can potentially be harmful to Medicare and Medicaid beneficiaries. The objectives of this commentary are to describe the types and trends of Medicare and Medicaid fraud that are committed, and provide recommendations to protect patients and health care practices. Specifically, this article identifies types of Medicare and Medicaid fraud at beneficiary (patient) and provider level, and it can be intentional or unintentional. This article also describes the 3 primary laws that prohibit fraud and gives fraud case examples relevant to each law, including the False Claims Act, Anti-Kickback Statute, and the Stark Law. We also discuss currently trending and emerging areas, including opioid and pharmacogenetic testing; both have experienced heavier and higher-profile instances of fraud in today's health care landscape. Last, the article summarizes detection methods and recommendations for health care providers and patients to protect themselves against fraud. Recommended strategies to combat fraud are discussed at policy, practice, and grassroots levels. Health care practitioners, including pharmacists, can use these strategies to protect themselves and their patients from becoming victims of fraud or unknowingly committing fraud.