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Postpandemic Telehealth Use: Patterns and Barriers for Older Adults in the United States, 2024.

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Title: Postpandemic Telehealth Use: Patterns and Barriers for Older Adults in the United States, 2024.
Authors: Chandrasekaran, Ranganathan
Source: American Journal of Public Health. 2026 Suppl 3, Vol. 116, pS218-S228. 11p.
Subjects: Cross-sectional method, Health literacy, Mobile apps, Self-evaluation, Health status indicators, Income, Disease outbreaks, Statistical sampling, Multiple regression analysis, Logistic regression analysis, Hispanic Americans, Health insurance, Descriptive statistics, Information technology, Multivariate analysis, Chi-squared test, Relative medical risk, Telemedicine, Surveys, Odds ratio, Telephones, Lung diseases, Medical appointments, Rural population, Patient decision making, Patient satisfaction, Data analysis software, Confidence intervals, Patients' attitudes, Video recording, Mental depression, Old age
Geographic Terms: United States
Abstract: Objectives. To examine telehealth use and modality choice among US older adults (≥ 65 years) and identify factors associated with adoption and modality preference in the postpandemic era. Methods. Using data from 2723 device-owning older adults in the 2024 Health Information National Trends Survey (HINTS 7; nationally representative, March–September 2024), multivariable logistic and multinomial logit models examined associations between telehealth use, modality, and covariates, including socioeconomic factors, health conditions, digital literacy, and prior health information technology use. Results. Overall, 31.4% of older adults used telehealth in 2024 (video: 12.38%; phone-only: 12.41%). Higher odds of use were associated with Hispanic ethnicity (adjusted odds ratio [AOR] = 1.92; 95% confidence interval [CI] = 1.07, 3.81), lung disease (AOR = 2.32; 95% CI = 1.22, 4.42), depression (AOR = 1.89; 95% CI = 1.01, 3.54), and frequent provider visits; lower odds were associated with nonmetropolitan adjacent residence (AOR = 0.36; 95% CI = 0.17, 0.76) and health insurance coverage (AOR = 0.13; 95% CI = 0.03, 0.62). In addition to these factors, video use was uniquely associated with higher income, ability to use apps without assistance, and prior health IT use. Nonusers most commonly cited preference for in-person care (45.7%) or not being offered telehealth (13.4%). Conclusions. Telehealth use has stabilized but remains low among US older adults, with persistent geographic and socioeconomic disparities in modality choice. Policies ensuring audio-only parity and targeted digital literacy interventions are essential to promote equitable telehealth access as telehealth becomes integrated into postpandemic care. (Am J Public Health. 2026;116(S3): S218–S228. https://doi.org/10.2105/AJPH.2026.308575) [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Postpandemic Telehealth Use: Patterns and Barriers for Older Adults in the United States, 2024.
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  Data: <searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Health+literacy%22">Health literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+apps%22">Mobile apps</searchLink><br /><searchLink fieldCode="DE" term="%22Self-evaluation%22">Self-evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Health+status+indicators%22">Health status indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Income%22">Income</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+outbreaks%22">Disease outbreaks</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Hispanic+Americans%22">Hispanic Americans</searchLink><br /><searchLink fieldCode="DE" term="%22Health+insurance%22">Health insurance</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Relative+medical+risk%22">Relative medical risk</searchLink><br /><searchLink fieldCode="DE" term="%22Telemedicine%22">Telemedicine</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Telephones%22">Telephones</searchLink><br /><searchLink fieldCode="DE" term="%22Lung+diseases%22">Lung diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+appointments%22">Medical appointments</searchLink><br /><searchLink fieldCode="DE" term="%22Rural+population%22">Rural population</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+decision+making%22">Patient decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+satisfaction%22">Patient satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Patients'+attitudes%22">Patients' attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Video+recording%22">Video recording</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Old+age%22">Old age</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Objectives. To examine telehealth use and modality choice among US older adults (≥ 65 years) and identify factors associated with adoption and modality preference in the postpandemic era. Methods. Using data from 2723 device-owning older adults in the 2024 Health Information National Trends Survey (HINTS 7; nationally representative, March–September 2024), multivariable logistic and multinomial logit models examined associations between telehealth use, modality, and covariates, including socioeconomic factors, health conditions, digital literacy, and prior health information technology use. Results. Overall, 31.4% of older adults used telehealth in 2024 (video: 12.38%; phone-only: 12.41%). Higher odds of use were associated with Hispanic ethnicity (adjusted odds ratio [AOR] = 1.92; 95% confidence interval [CI] = 1.07, 3.81), lung disease (AOR = 2.32; 95% CI = 1.22, 4.42), depression (AOR = 1.89; 95% CI = 1.01, 3.54), and frequent provider visits; lower odds were associated with nonmetropolitan adjacent residence (AOR = 0.36; 95% CI = 0.17, 0.76) and health insurance coverage (AOR = 0.13; 95% CI = 0.03, 0.62). In addition to these factors, video use was uniquely associated with higher income, ability to use apps without assistance, and prior health IT use. Nonusers most commonly cited preference for in-person care (45.7%) or not being offered telehealth (13.4%). Conclusions. Telehealth use has stabilized but remains low among US older adults, with persistent geographic and socioeconomic disparities in modality choice. Policies ensuring audio-only parity and targeted digital literacy interventions are essential to promote equitable telehealth access as telehealth becomes integrated into postpandemic care. (Am J Public Health. 2026;116(S3): S218–S228. https://doi.org/10.2105/AJPH.2026.308575) [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.2105/AJPH.2026.308575
    Languages:
      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: S218
    Subjects:
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Health literacy
        Type: general
      – SubjectFull: Mobile apps
        Type: general
      – SubjectFull: Self-evaluation
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      – SubjectFull: Health status indicators
        Type: general
      – SubjectFull: Income
        Type: general
      – SubjectFull: Disease outbreaks
        Type: general
      – SubjectFull: Statistical sampling
        Type: general
      – SubjectFull: Multiple regression analysis
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Hispanic Americans
        Type: general
      – SubjectFull: Health insurance
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Information technology
        Type: general
      – SubjectFull: Multivariate analysis
        Type: general
      – SubjectFull: Chi-squared test
        Type: general
      – SubjectFull: Relative medical risk
        Type: general
      – SubjectFull: Telemedicine
        Type: general
      – SubjectFull: Surveys
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      – SubjectFull: Odds ratio
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      – SubjectFull: Telephones
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      – SubjectFull: Lung diseases
        Type: general
      – SubjectFull: Medical appointments
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      – SubjectFull: Rural population
        Type: general
      – SubjectFull: Patient decision making
        Type: general
      – SubjectFull: Patient satisfaction
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Confidence intervals
        Type: general
      – SubjectFull: Patients' attitudes
        Type: general
      – SubjectFull: Video recording
        Type: general
      – SubjectFull: Mental depression
        Type: general
      – SubjectFull: Old age
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      – SubjectFull: United States
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    Titles:
      – TitleFull: Postpandemic Telehealth Use: Patterns and Barriers for Older Adults in the United States, 2024.
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              Text: 2026 Suppl 3
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