| Literature DB >> 34786796 |
Hanadi Y Hamadi1, Mei Zhao1, Donald Rob Haley1, Ajani Dunn2, Shyam Paryani1, Aaron Spaulding3.
Abstract
STUDY RATIONALE: The swift progression of the COVID-19 pandemic appeared to facilitate the increase in telehealth utilization. However, it is clear neither how telehealth was offered by providers nor how it was used by patients during this time of unusual and rapid change within the health industry. AIM: To investigates the telehealth utilization patterns of Medicare beneficiaries during the height of the COVID-19 pandemic. METHODS AND MATERIALS: A cross-sectional study design was used to examine the responses of 9686 Medicare beneficiaries to the Centers for Medicare and Medicaid Services (CMS) Medicare Current Beneficiary Survey, Fall 2020 COVID-19 Supplement. Multiple logistic regression analyses were conducted to examine the relationship between telehealth offering and beneficiaries' sociodemographic variables.Entities:
Keywords: COVID-19; Medicare; primary care; specialist; telehealth; telemedicine; video calling
Mesh:
Year: 2021 PMID: 34786796 PMCID: PMC8657362 DOI: 10.1111/jep.13634
Source DB: PubMed Journal: J Eval Clin Pract ISSN: 1356-1294 Impact factor: 2.336
Descriptive analysis of Medicare patients and telehealth offerings
| Frequency | Percent | missing | |
|---|---|---|---|
| PCP offers telehealth appointments | 470 (4.9) | ||
| Yes | 5644 | 58.3 | |
| No | 1393 | 14.4 | |
| SP offered telehealth since 7/1/20 | 4190 (43.3) | ||
| Yes | 2720 | 28.1 | |
| No | 2776 | 28.7 | |
| SP had a telehealth visit since 7/1/20 | 4097 (42.3) | ||
| Yes | 2515 | 26 | |
| No | 3074 | 31.7 | |
| Use video or voice calls | 47 (0.5) | ||
| Yes | 3711 | 38.3 | |
| No | 5928 | 61.2 | |
| Unable to get care because of COVID‐19 | 45 (0.5) | ||
| Yes | 735 | 7.6 | |
| No | 8906 | 91.9 | |
| Age | 0 (0) | ||
| <65 years | 2170 | 22.4 | |
| 65–74 years | 3142 | 32.4 | |
| 75+ | 4374 | 45.2 | |
| Gender | 0 (0) | ||
| Male | 4372 | 45.1 | |
| Female | 5314 | 54.9 | |
| Race | 0 (0) | ||
| White non‐Hispanic | 7257 | 74.9 | |
| Black non‐Hispanic | 946 | 9.8 | |
| Hispanic | 971 | 10 | |
| Other | 512 | 5.3 | |
| Core‐based statistical area | 7 (0.1) | ||
| Metro | 7378 | 76.2 | |
| Non‐metro | 2301 | 23.8 | |
| Region | 5 (0.1) | ||
| Northeast | 1746 | 18 | |
| Midwest | 2269 | 23.4 | |
| South | 3714 | 38.3 | |
| West | 1952 | 20.2 | |
| Income | 433 (4.5) | ||
| Less than $25 000 | 3585 | 37 | |
| $25 000 or more | 5668 | 58.5 | |
| Other language is spoken at home | 10 (0.1) | ||
| Yes | 1186 | 12.2 | |
| No | 8490 | 87.7 | |
| Access to internet | 59 (0.6) | ||
| Yes | 7548 | 77.9 | |
| No | 2079 | 21.5 | |
Multivariate logistic regression analysis telehealth offering
| SP offered telehealth since 7/1/20 | SP had a telehealth visit since 7/1/20 | PCP offers telehealth appointments | Use video or voice calls | |||||
|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | OR | 95% CI | |
| Age (reference: 75+) | ||||||||
| <65 years | 1.07 | [0.92,1.25] | 1.27* | [1.09,1.49] | 1.23* | [1.04,1.45] | 1.89* | [1.66,2.15] |
| 65–74 years | 1.02 | [0.9,1.16] | 0.98 | [0.86,1.11] | 1.51* | [1.3,1.76] | 1.69* | [1.52,1.88] |
| Gender (reference: Female) | ||||||||
| Male | 1.14* | [1.02,1.27] | 1.09 | [0.98,1.22] | 0.86* | [0.76,0.97] | 0.74* | [0.68,0.81] |
| Race (reference: Other) | ||||||||
| White non‐Hispanic | 0.82 | [0.63,1.05] | 0.89 | [0.69,1.14] | 1.09 | [0.82,1.45] | 1.1 | [0.89,1.36] |
| Black non‐Hispanic | 0.98 | [0.72,1.34] | 1.25 | [0.92,1.7] | 0.7* | [0.51,0.98] | 1.1 | [0.85,1.43] |
| Hispanic | 1.12 | [0.82,1.54] | 1.11 | [0.82,1.52] | 1.2 | [0.84,1.73] | 1.03 | [0.78,1.36] |
| Core‐based statistical area (reference: Non‐metro) | ||||||||
| Metro | 1.05 | [0.91,1.21] | 1.06 | [0.92,1.23] | 1.74* | [1.51,2.02] | 1.6* | [1.42,1.79] |
| Region (reference: West) | ||||||||
| Northeast | 0.74* | [0.63,0.88] | 0.64* | [0.54,0.76] | 0.79* | [0.64,0.98] | 0.88 | [0.76,1.02] |
| Midwest | 0.68* | [0.58,0.81] | 0.67* | [0.56,0.79] | 0.77* | [0.63,0.95] | 0.74* | [0.64,0.85] |
| South | 0.9 | [0.77,1.04] | 0.83* | [0.72,0.97] | 0.66* | [0.55,0.79] | 0.7* | [0.61,0.79] |
| Income (reference: $25 000 or more) | ||||||||
| Less than $25 000 | 1.25* | [1.09,1.43] | 1.14 | [1,1.3] | 0.77* | [0.66,0.89] | 0.51* | [0.45,0.57] |
| Other language spoken at home (reference: No) | ||||||||
| Yes | 0.97 | [0.77,1.22] | 1 | [0.8,1.26] | 0.91 | [0.7,1.2] | 0.85 | [0.7,1.04] |
| Access to the internet (reference: No) | ||||||||
| Yes | 1.15 | [0.98,1.35] | 1.21* | [1.03,1.43] | 2.23* | [1.92,2.58] | 9.12* | [7.55,11.01] |
Abbreviations: CI: confidence interval; OR: odd ratio.
Multivariate logistic regression analysis care during COVID
| Unable to get care because of COVID‐19 | ||
|---|---|---|
| OR | 95% CI | |
| Age (reference: 75+) | ||
| <65 years | 1.75* | [1.43,2.15] |
| 65–74 years | 1.22* | [1.01,1.46] |
| Gender (reference: Female) | ||
| Male | 0.92 | [0.79,1.07] |
| Race (reference: Other) | ||
| White non‐Hispanic | 1.19 | [0.82,1.73] |
| Black non‐Hispanic | 1.03 | [0.65,1.63] |
| Hispanic | 1.36 | [0.87,2.15] |
| Core‐based statistical area (reference: Non‐metro) | ||
| Metro | 1.09 | [0.9,1.32] |
| Region (reference: West) | ||
| Northeast | 0.96 | [0.75,1.21] |
| Midwest | 0.91 | [0.72,1.14] |
| South | 0.73* | [0.59,0.91] |
| Income (reference: $25 000 or more) | ||
| Less than $25 000 | 0.88 | [0.73,1.05] |
| Other language is spoken at home (reference: No) | ||
| Yes | 1.01 | [0.73,1.39] |
| Access to the internet (reference: No) | ||
| Yes | 1.53* | [1.21,1.93] |
Note: *Significant p‐value < 0.05.
Abbreviations: CI: confidence interval; OR: odds ratio.