Spending patterns among commercially insured individuals during the COVID-19 pandemic

OBJECTIVES

To describe trends in US health care spending in a large, national, and commercially insured population during the COVID-19 pandemic.

STUDY DESIGN

Cross-sectional study of commercially insured members enrolled between May 1, 2018, and December 31, 2021.

METHODS

The study utilized a population-based sample of continuously enrolled members in a geographically diverse federation of Blue Cross Blue Shield plans across the United States. Our sample excluded Medicare and Medicare Advantage beneficiaries. The COVID-19 exposure period was defined as 2020-2021; 2018-2019 were pre-COVID-19 years. We defined 4 post-COVID-19 periods: March 1 to April 30, 2020; May 1 to December 31, 2020; January 1 to March 31, 2021; and April 1 to December 31, 2021. The primary outcome was inflation-adjusted overall per-member per-month (PMPM) medical spending adjusted for age, sex, Elixhauser comorbidities, area-level racial composition, income, and education.

RESULTS

Our sample included 97,319,130 individuals. Mean PMPM medical spending decreased from $370.92 in January-February 2020 to $281.00 in March-April 2020. Between May and December 2020, mean PMPM medical spending recovered to-but did not exceed-prepandemic levels. Mean PMPM medical spending stayed below prepandemic levels between January and March 2021, rose above prepandemic baselines between April and June 2021, and decreased below baseline between July and December 2021.

CONCLUSIONS

The COVID-19 pandemic induced a spending shock in 2020, and health care spending did not recover to near baseline until mid-2021, with some emerging evidence of pent-up demand. The observed spending below baseline through the end of 2021 will pose challenges to setting spending benchmarks for alternative payment and shared savings models.

Clinician Perceptions of Receiving Different Forms of Feedback on their Opioid Prescribing

Opioid misuse represents a major public health issue in the United States. One driver is overprescription for acute pain, with the size of initial prescription associated with subsequent long-term use. However, little work has been done to elicit clinician feedback about interventions to reduce opioid prescribing. To address this knowledge gap, qualitative analyses were conducted with clinicians who participated in a randomized controlled trial in which clinicians received monthly emailed feedback notifications about their opioid prescribing behaviors. Semistructured telephone interviews were conducted (N = 12) with urgent care (N = 7) and emergency department (N = 5) clinicians who participated in the trial between November 2020 and April 2021. Clinicians appreciated feedback about their prescribing behavior and found comparative data with peer clinicians to be most useful. Sharing opioid prescribing feedback data with clinicians can be an acceptable way to address opioid prescribing among emergency and urgent care clinicians.