Abstract
This cohort study examined the association of a prescription drug event edit policy change with prescriptions dispensed after the deaths of beneficiaries and estimated Medicare spending.
Introduction
Reimbursement of Part D–covered medications dispensed to decedents may indicate wasteful health care spending.1 In July 2017, a prescription drug event (PDE) edit was enacted that reduced reimbursement of Part D–covered medications from 32 to 14 days after the deaths of community-dwelling Medicare beneficiaries whose prescriptions were dispensed by community or retail pharmacy services.2 Reimbursements remained up to 32 days after the deaths of those who were not community dwelling or who had prescriptions dispensed in other settings (eg, mail order pharmacy).
Current evidence of this wasteful spending is limited to HIV medications, and an evaluation of this PDE edit has not been conducted. We examined the association of this PDE edit policy change with prescriptions dispensed after the deaths of beneficiaries and estimated Medicare spending.
Methods
In this cohort study, we used a 15% sample of 2016-2018 claims data for Medicare fee-for-service (FFS) beneficiaries aged 66 years or older. We included beneficiaries who died during the study period (decedents) (1) with 90 days or more of continuous enrollment of Medicare Parts A, B, and D before death; (2) who had a chronic condition3; and (3) who were classified as community dwelling based on the last dispensed prescription before death.
Outcomes included (1) number of decedents dispensed 1 or more prescriptions after death, (2) number of prescriptions dispensed after death, and (3) estimated Medicare spending (standardized to 2018 US dollars) per 1000 deaths. We used descriptive statistics to evaluate characteristics of decedents by whether they received 1 or more medications after death and by pharmacy settings among decedents who were dispensed prescriptions.
We conducted an interrupted time series (ITS) analysis (eMethods in Supplement 1). Among decedents, we compared prescriptions dispensed by a community or retail pharmacy, which were affected by the PDE edit, with prescriptions dispensed by other pharmacy settings,4 which were not affected by the PDE edit.2 Secondary post hoc analyses were conducted by stratifying decedents with or without chronic conditions (eMethods in Supplement 1). This study followed the STROBE reporting guideline,5 and the study protocol was reviewed and approved by the University of Florida institutional review board. Informed consent was not required because this was secondary use of administrative data.
Results
A total of 331 632 decedents with a mean (SD) age of 78.0 (12.0) years were included, and 175 464 (52.9%) were female (Table). Overall, 4886 decedents were dispensed 1 or more prescriptions after death, with a decreased trend (15.7 vs 13.8 [before or after edit] beneficiaries per 1000 deaths). A total of 10 471 prescriptions were dispensed overall (35.8 vs 27.9 [before or after edit] prescriptions per 1000 deaths), leading to an estimated Medicare spending of $2 246 625 ($7847 vs $5824 [before or after edit] per 1000 deaths).
Table. Characteristics of Included Decedents Beneficiaries.
Characteristic | Decedents, No. (%) | P valueb | |||
---|---|---|---|---|---|
Included (n = 331 632) | Dispensed ≥1 medication prescriptions (n = 4886) | Dispensed in community or retail pharmacy setting (n = 3352)a | Dispensed in other pharmacy settings (n = 1534)a | ||
Age, mean (SD), y | 78.0 (12.0) | 76.0 (13.1) | 74.6 (14.0) | 78.9 (10.3) | <.001 |
Sex | |||||
Female | 175 464 (52.9) | 2633 (53.9) | 1887 (56.3) | 746 (48.6) | <.001 |
Male | 156 168 (47.1) | 2253 (46.1) | 1465 (43.7) | 788 (51.4) | |
Race and ethnicityc | |||||
White | 277 763 (83.8) | 3481 (71.2) | 2144 (64.0) | 1337 (87.2) | <.001 |
Black | 31 849 (9.6) | 750 (15.4) | 616 (18.4) | 134 (8.7) | |
Otherd | 22 031 (6.6) | 655 (13.4) | 592 (17.7) | 63 (4.1) | |
Region | |||||
Northeast | 47 955 (14.5) | 790 (16.8) | 542 (16.2) | 248 (16.2) | <.001 |
Midwest | 54 172 (16.3) | 693 (14.2) | 384 (11.5) | 309 (20.1) | |
South | 188 191 (56.8) | 2738 (56.0) | 1979 (59.0) | 759 (49.5) | |
West | 41 325 (12.5) | 665 (13.6) | 447 (13.3) | 218 (14.2) | |
Alzheimer disease | 121 321 (36.6) | 1957 (40.0) | 1456 (43.4) | 501 (32.7) | <.001 |
Cardiovascular disease | 216 904 (65.4) | 3404 (69.7) | 2324 (69.3) | 1080 (70.4) | .45 |
Chronic lung disease | 128 390 (38.7) | 2101 (43.0) | 1510 (45.0) | 591 (38.5) | <.001 |
Atrial fibrillation | 80 138 (24.2) | 1105 (22.6) | 652 (19.5) | 453 (29.5) | <.001 |
Solid cancer | 65 332 (19.7) | 739 (15.1) | 466 (13.9) | 273 (17.8) | .004 |
Heart failure | 176 770 (53.3) | 2935 (58.0) | 1931 (57.6) | 904 (58.9) | .38 |
Chronic kidney disease | 215 908 (65.1) | 3400 (69.6) | 2374 (70.8) | 1026 (66.9) | .006 |
Depression | 96 603 (29.1) | 1745 (35.7) | 1281 (26.2) | 464 (30.3) | <.001 |
Diabetes | 147 231 (44.4) | 2695 (55.2) | 1929 (57.6) | 766 (49.9) | <.001 |
Hyperlipidemia | 182 116 (54.9) | 2882 (59.0) | 1879 (56.1) | 1003 (65.4) | <.001 |
Hypertension | 262 576 (79.2) | 4101 (83.9) | 2791 (83.3) | 1310 (85.4) | .06 |
Hypothyroid | 75 575 (22.8) | 1155 (23.6) | 698 (20.8) | 457 (29.8) | <.001 |
Osteoporosis | 29 410 (8.9) | 420 (8.6) | 277 (8.3) | 143 (9.3) | .22 |
Arthritis | 145 683 (43.9) | 2419 (49.5) | 1731 (51.6) | 688 (44.9) | <.001 |
Not mutually exclusive as patients may have drugs dispensed from both pharmacy settings.
Comparison of deceased beneficiaries dispensed in community or retail pharmacy setting vs other pharmacy settings.
We used the race code from the Medicare Master Beneficiary Summary File.
An aggregate of Asian, Hispanic, North American Native, other, and unknown.
Nonsignificant reductions in beneficiaries receiving 1 or more prescriptions per 1000 deaths (change in level, −0.440 [95% CI, −2.395 to 1.516]; P = .66), prescriptions dispensed per 1000 deaths (change in level, −4.956 [95% CI, −11.541 to 1.630]; P = .14), and estimated Medicare spending per 1000 deaths (change in level, −$1375.16 [95% CI, −$5435.30 to $2684.99]; P = .50) associated with the Part D PDE edit (Figure) were identified from the ITS analysis. In secondary analyses, significant reductions in prescriptions dispensed per 1000 deaths (change in level, −8.000 P = .049) and estimated Medicare spending per 1000 deaths (change in level, −$3309.74; P = .04) associated with the Part D PDE edit for patients with hyperlipidemia were identifed; however, there was overlap in 95% CIs in these 2 measures for beneficiaries without hyperlipidemia. There were no differences between patients with and patients without Alzheimer disease and atrial fibrillation.
Discussion
Following the PDE edit, 13.8 beneficiaries per 1000 deaths were dispensed a prescription after death, resulting in 27.9 prescriptions and $5824 in estimated Medicare spending per 1000 deaths. Extrapolations using 2019 Medicare death data6 indicated that up to 29 000 beneficiaries would be affected, up to 60 000 prescriptions would be dispensed after death, and up to $12.4 million in spending. Although nonsignificant in our model, it is estimated that this edit was associated with an estimated reduction in spending of $2.9 million.
Limitations of this study included data that were limited to deceased community-dwelling Medicare FFS beneficiaries. Findings may differ for Medicare Advantage beneficiaries or those who are not community dwelling, and estimated Medicare spending does not include rebates, risk sharing, or gap discounts. This cohort study found nonsignificant, although potentially meaningful, reductions in the number of deceased beneficiaries who were dispensed a prescription, in the total number of prescriptions dispensed, and in Medicare spending associated with a Part D PDE edit.
References
- 1.Reeb GM. Review of Medicare Payments to Prescription Drug Plans on Behalf of Deceased Enrollees (A-05-09-00027). Department of Health & Human Services. May 17, 2011. Accessed April 12, 2023. https://oig.hhs.gov/oas/reports/region5/50900027.pdf
- 2.Rice C. Changes to Part D date of death PDE editing effective July 1, 2017. Department of Health & Human Services. January 29, 2016. Accessed April 12, 2023. https://www.hhs.gov/guidance/sites/default/files/hhs-guidance-documents/pde%20edit_dod_012916_92.pdf
- 3.Chronic Conditions Data Warehouse. Centers for Medicare & Medicaid Services. Accessed July 28, 2022. https://www2.ccwdata.org/web/guest
- 4.Pharmacy service type code. Research Data Assistance Center. Accessed July 12, 2022. https://resdac.org/cms-data/variables/pharmacy-service-type-code
- 5.von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative . The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370(9596):1453-1457. doi: 10.1016/S0140-6736(07)61602-X [DOI] [PubMed] [Google Scholar]
- 6.CMS Program Statistics - Medicare Deaths. Accessed March 24, 2023. https://data.cms.gov/summary-statistics-on-beneficiary-enrollment/medicare-and-medicaid-reports/cms-program-statistics-medicare-deaths
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