Andrea M. Austin1Christopher G. Leggett1Peter Schmidt2Paul Bolin3Eugene C. Nelson1
Brant J. Oliver1,4,5
Ashleigh C. King1*- 1The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
- 2Grossman School of Medicine, New York University, New York, NY, United States
- 3Brody School of Medicine, East Carolina University, Greenville, NC, United States
- 4Departments of Community & Family Medicine and Psychiatry, Geisel School of Medicine at Dartmouth, Hanover, NH, United States
- 5Office of Patient Experience, Value Institute, Dartmouth-Hitchcock, Lebanon, NH, United States
Objective: Determine differences in utilization patterns, disease severity, and outcomes between patients with and without diabetes mellitus diagnosed with COVID-19 in 2020
Research Design and Methods: We used an observational cohort comprised of Medicare fee-for-service beneficiaries with a medical claim indicating a COVID-19 diagnosis. We performed inverse probability weighting between beneficiaries with and without diabetes to account for differences in socio-demographic characteristics and comorbidities.
Results: In the unweighted comparison of beneficiaries, all characteristics were significantly different (P<0.001). Beneficiaries with diabetes were younger, more likely to be black, had more comorbidities, higher rates of Medicare-Medicaid dual-eligibility, and were less likely to be female. In the weighted sample, hospitalization rates for COVID-19 among beneficiaries with diabetes was higher (20.5% vs 17.1%; p < 0.001). Outcomes of hospitalizations were similarly worse among beneficiaries with diabetes: admissions to ICU during hospitalizations (7.78% vs. 6.11%; p < 0.001); in-hospital mortality (3.85% vs 2.93%; p < 0.001); and ICU mortality (2.41% vs 1.77%). Beneficiaries with diabetes had more ambulatory care visits (8.9 vs. 7.8, p < 0.001) and higher overall mortality (17.3% vs. 14.9%, p < 0.001) following COVID-19 diagnosis.
Conclusion: Beneficiaries with diabetes and COVID-19 had higher rates of hospitalization, ICU use and overall mortality. While the mechanism of how diabetes impacts the severity of COVID-19 may not be fully understood, there are important clinical implications for persons with diabetes. A diagnosis of COVID-19 leads to greater financial and clinical burden than for their counterparts, persons without diabetes, including perhaps most significantly, higher death rates.
Introduction
The current COVID-19 pandemic, caused by infection and sequelae of the SARS-CoV-2 virus, continues to pose human health risks and threats. Surveillance of the demographic characteristics and outcomes of the Medicare population diagnosed with COVID-19 is important for understanding the epidemiology of the disease given that 78% of COVID-19 mortality, or 559,309 of 721,465 deaths reported through 14 October 2021, in the US have occurred in individuals over 65 (1). As of May 21, 2021 the Centers of Medicare and Medicaid Services reported that rural areas, females, and Medicare-Medicaid dual-eligible beneficiaries are disproportionately impacted by COVID-19 (1).
A cohort study in Louisiana found that a disproportionate number of patients dying in the hospital from COVID-19 were black, but that race did not appear to be as significant a predictor of mortality from COVID-19 as originally reported (2). Similar results were found in a nationwide study comparing black Medicare beneficiaries to white beneficiaries (3). Dementia, disproportionately prevalent in Black, Hispanic, and female Medicare beneficiaries, has been linked with the highest rates of infection and mortality among Medicare beneficiaries (4).
Perhaps the most prevalent comorbid condition that impacts the pathway to recovery for patients diagnosed with COVID-19 is diabetes mellitus (5–7). Diabetes affects 10.5% of the US population and in 2019 was responsible for 87,647 deaths (2). Furthermore, several meta-analyses have found the prevalence rate of diabetes in patients with COVID-19 to be slightly higher, ranging from 11.5%-31% (8–10)., which may be due to an increased susceptibility to COVID-19 among diabetics (11). Diabetes and hypertension (a common predictor and exacerbator of diabetes) were the two most common comorbidities found in the study of the impact of COVID-19 on demented patients (4). Clinical data from across the world suggests people with diabetes experience 2-3 times more severe clinical outcomes including hospitalizations and death with a COVID-19 diagnosis (5, 10). Understanding the impact of diabetes on older COVID-19 patients living in the United States (U.S.) is therefore important to develop future pathways of prevention and treatment in this vulnerable population.
We report an analysis of a nationwide cohort of U.S. Medicare beneficiaries with and without diabetes diagnosed with COVID-19 during 2020. We analyze the impact on disease trajectories (utilization and outcomes) in beneficiaries with and without diabetes, before and after adjusting for socio-demographic characteristics and comorbidities. The COVID-19 vaccine became available in December 2020 (12). Therefore, looking at all the diagnosed population and their utilization patterns and outcomes in 2020 will provide a comprehensive picture of the disease trajectory among Medicare beneficiaries throughout the country prior to widespread vaccination in Medicare populations with and without diabetes.
Research Design and Methods
Data Source, Study Population, and Covariates
We conducted an observational cohort study using a complete national sample of beneficiaries with 12 months of enrollment in fee-for-service (FFS) Medicare during 2020. If a beneficiary turned 65 during 2020, they needed to have consistent FFS Medicare enrollment from the month of their date of birth through the end of the year. Conversely, any beneficiary who died during 2020 need to have consistent enrollment from January through their month of death to be included in the FFS cohort. We included all FFS patients who were newly diagnosed with COVID-19andwere U.S. residents 65 or older at the time of diagnosis. We did not include Medicare Advantage patients. We excluded patients younger than 65 since their basis for Medicare eligibility is due to disability or End-stage Renal Disease making these populations significantly different from the aged Medicare population.
We gathered baseline health characteristics from the 2020 Medicare claims data, including patient-level comorbidities identified using the Elixhauser Comorbidity Software developed by the Agency for Healthcare Research and Quality (AHRQ) as part of the Healthcare Cost and Utilization Project (HCUP). Our main exposure variable of interest, diabetes mellitus, was identified using the Elixhauser algorithm (13, 14). We used the Medicare Master Beneficiary Summary File (MBSF) to determine each patient’s sex, race, age at diagnosis, Medicare-Medicaid dual-eligibility status, and ZIP code. The ZIP code was then used to establish rurality (urban vs. rural), Census region, and median household income (15).
Outcome Measures
We identified outcomes for the cohort for the remainder of 2020 following their index COVID-19 diagnosis. Outcomes studied included total number of hospitalizations to an acute care or critical access hospital with a primary diagnosis of COVID-19, number of intensive care unit (ICU) admissions, number of ambulatory care visits, average spending on COVID-19 related hospitalizations, prescriptions for drugs commonly used to treat COVID-19, and death (in hospital, in the ICU, and overall). Death dates were obtained from the Medicare MBSF while ambulatory care visits were determined using Current Procedure Terminology codes 99202-99499 in the Part B and Outpatient files. Hospitalizations, ICU visits, and ICU deaths were determined using the Inpatient Claim and Revenue Center files, with revenue center codes 0200-0209 used to determine ICU use. To calculate average spending, we used the methods in the codebook for the Medicare Inpatient file, which involves multiplying the daily per diem amount by the number of Medicare-covered days and then adding result to the claim payment amount (16). The list of drugs used for treatment of COVID-19 included prescription fills from the Medicare Part D data for dexamethasone, hydroxychloroquine, interferon, ivermectin, lopinavir/ritonavir, and tocilizumab.
Statistical Analysis
We applied traditional statistical methods to describe the demographic and health characteristics of the cohort, including means and standard deviations for continuous variables (spending on COVID-19 related hospitalizations, median household income, and comorbidity count), and counts and percentages for categorical variables (age categories, sex, race, diabetes status, Medicare-Medicaid dual-eligibility status, urban/rural indicator, and all outcomes).
We then calculated an inverse probability weights (IPW) to control for confounding. The process of creating IPWs involved applying a logistic regression, with the exposure, diabetes status, regressed on the following covariates: 1. baseline demographic characteristics including the patient’s age at diagnosis; 2. sex; 3. race; 4. Medicare-Medicaid dual-eligibility status; 5. rural or urban residence; 6. census region; and 7. individual disease flags given by the Elixhauser Comorbidity definitions (excluding diabetes). The inverse of the predicted probability of diabetes from this regression was used to calculate an IPWforeach patient. To confirm that the IPWs created covariate balance, the weights were used in comparing the exposed and unexposed group with respect to baseline demographics and comorbidities, with standardized mean differences (SMD) used to assess balance. These IPWs were applied when comparing outcomes across the two groups (patients with and without diabetes) to control for confounding (17–19).
All analyses were performed using SAS (version 7.15), with the logistic regression model, used to create IPWs, run using the LOGISTIC procedure. Unless otherwise indicated, a threshold of p < 0.001 was used for significance.
Results
Among the 1,439,520 Medicare beneficiaries with a COVID-19 diagnosis present in the 2020 Medicare claims, 469,448 (33%) had concurrent diabetes mellitus (Table 1). In the unweighted comparison of patients with and without diabetes, all patient characteristics were significantly different. In particular, patients with diabetes were younger, were more likely to be black, had a higher number of comorbid diseases, had higher rates of Medicare-Medicaid dual-eligibility, and were less likely to be female than patients without diabetes. After propensity weighting, all baseline covariates were balanced across diabetes status and no longer statistically significant with standardized values within the -0.1 to 0.1 range (Table 2) (17–19). In the weighted cohort, 56.5% of patients were female, 90.4% of patients were non-black, 39% of patients were from the South, and 24% from the Midwest.
Table 1 Unweighted demographic characteristics of Medicare beneficiaries with a diagnosis of Covid-19 in the 2020 claims data.
Table 2 Weighted demographic characteristics of Medicare beneficiaries with a diagnosis of COVID-19 in the 2020 claims data.
After propensity weighting, we observed meaningful but not consistently statistically significant differences in all utilization measures. Beneficiaries with diabetes had higher rates of each outcome than beneficiaries without diabetes except in the use of drug treatments for COVID-19 (Table 3). In the weighted sample, the rate of hospitalization for COVID-19 among beneficiaries with diabetes (20.5%) and beneficiaries without diabetes (17.1%) were significant but the effect size was limited, with a standardized mean difference (SMD) of 0.09 (p<0.0001). Similarly, admission to ICU during hospitalizations was also significantly higher among beneficiaries with diabetes vs. beneficiaries without diabetes (7.78% vs. 6.11%), again with a limited effect size (SMD = 0.07, p<0.0001). Beneficiaries with diabetes had an average of 1.1 more ambulatory care encounters following their COVID-19 diagnosis (8.9 vs. 7.8; SMD = 0.04, p<0.0001). Beyond higher utilization, beneficiaries with diabetes had higher rates of overall mortality in 2020 following their COVID-19 diagnosis than beneficiaries without diabetes (17.3% vs. 14.9%; SMD = 0.04, p<0.0001).
Table 3 Weighted measures of Medicare utilization among beneficiaries with a prior diagnosis of COVID-19 in the 2020 claims data.
Only steroid dexamethasone used for treatment of COVID-19 showed a significant difference between patients with and without diabetes (6.75% vs 6.32%: SMD = 0.02, p<0.0001). Other drugs evaluated were not significantly different in their application (Table 3). Differences in usage were related to regional rates of prescribing more than a disease comorbidity indicator. Whether a patient was prescribed these treatments for COVID-19 was impacted more by where they reside than an underlying risk factor for disease severity such as diabetes.
Conclusions
In this study, we compared treatment patterns and outcomes for patients with and without diabetes following the time of their diagnosis of COVID-19 in 2020. We found that patients with diabetes had more comorbid conditions than those without, were more likely to be male, and were more likely to be Medicare-Medicaid dual-eligible. When controlling for these differences through the application of inverse probability weighting, we saw that patients with diabetes still had a greater likelihood of hospitalization for COVID-19, that their hospitalizations would be more costly overall, and they had a greater overall likelihood of death following their COVID-19 diagnosis. These findings indicate that patients with diabetes had worse trajectories in terms of physical and financial burden in the treatment of COVID-19 compared to socio-demographically similar patients without diabetes. Additionally, studies have shown that access to preventative and primary care is important in the management of diabetes (20). In the context of the COVID-19 pandemic, preventative care was often canceled, which likely impacted people with diabetes and their ability to effectively control their disease.
Other studies of patients with diabetes and COVID-19 have shown differences in mortality and severity of illness for patients with diabetes compared to those without, with one meta-analysis describing a two-fold increase in mortality (21). Some studies are skeptical about the relationship between diabetes and COVID-19 trajectories and call for more concrete evidence (22, 23). A strength of the study is that we address some gaps in evidence for elderly patients with diabetes in the United States using a nationwide sample of FFS Medicare beneficiares. Our study has several notable limitations. The first is with respect to the drugs used to treat COVID-19; there are other medically indicated reasons for using many of these drugs (24–26). While we only looked at usage following COVID-19 diagnosis, due to the nature of using Medicare claims, we cannot be certain that the drugs were prescribed specifically to treat COVID-19. A second limitation is our inability to use the most current data, to analyze results for 2021. Additional burdens to COVID-19 patients include post-acute COVID-19 syndrome, or the long-term repercussions of infection, including impacts to physical and mental health such as fatigue, declines in quality of life, and chronic kidney disease (27). Another limitation is that our study included only people who qualified for Medicare on the basis of old age (65+) so is not generalizable to younger populations of people with diabetes. Finally, the roll-out of vaccines in late 2020 and into 2021 for COVID-19 – with many states prioritizing medically complex patients, including patients with diabetes – will be important to consider in future work. For example, it will be important to determine if it improved the trajectory of patients with diabetes, in particular, those with breakthrough COVID-19 infections following vaccination.
In conclusion, we have shown that Medicare beneficiaries with diabetes have higher rates of hospitalization and ICU use than similar beneficiaries without diabetes. They also have higher rates of mortality overall, and higher rates of dying once hospitalized for COVID-19. While the mechanism of how diabetes impacts the severity of COVID-19 in patients (leading to higher utilization and mortality) is not yet fully understood, there are many clinical implications.
Data Availability Statement
The data analyzed in this study is subject to the following licenses/restrictions: An active Data Use Agreement with CMS is required to access the 2020 Medicare data used in this analysis.
Ethics Statement
The studies involving human participants were reviewed and approved by Committee for the Protection of Human Subjects - Dartmouth College. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.
Author Contributions
AA and AK wrote the manuscript. AK and CL had full access to all the data and performed data and statistical analyses with statistical expertise provided by AA, CL, PS, PB, EN and BO edited and reviewed the manuscript and contributed to discussion. EN is the guarantor of this work. All authors contributed to the article and approved the submitted version.
Funding
This work was supported by the State of North Carolina under Session Law 2020-4, contract 98-00.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Acknowledgments
The authors thank Joel King for his administrative help. We also thank the entire ECU Covid team from NC and NH for their support and insight.
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Keywords: medicare, diabetes, COVID-19, utilization, public health
Citation: Austin AM, Leggett CG, Schmidt P, Bolin P, Nelson EC, Oliver BJ and King AC (2022) Utilization Patterns and Outcomes of People With Diabetes and COVID-19: Evidence From United States Medicare Beneficiaries in 2020. Front. Clin. Diabetes Healthc. 3:920478. doi: 10.3389/fcdhc.2022.920478
Received: 14 April 2022; Accepted: 02 June 2022;
Published: 05 July 2022.
Edited by:
Ilias Migdalis, Army Share Fund Hospital (NIMTS), GreeceReviewed by:
Alpesh Goyal, All India Institute of Medical Sciences, IndiaThomas T. H. Wan, University of Central Florida, United States
Soham Al Snih, University of Texas Medical Branch at Galveston, United States
Copyright © 2022 Austin, Leggett, Schmidt, Bolin, Nelson, Oliver and King. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ashleigh C. King, YXNobGVpZ2guYy5raW5nQGRhcnRtb3V0aC5lZHU=