Examining Factors Associated with the Intentions Toward and Use of Tele-Mental Health Services Among Medicaid Providers and Beneficiaries

<b>Background:</b> Treatment adherence among individuals with mental illness remains a pressing public health issue. Tele-mental health care (TMH) can improve care access and continuity. This study applied the theory of planned behavior (TPB) to examine how intrinsic motivations influence intentions and use of TMH among Medicaid beneficiaries and providers. <b>Methods:</b> A survey was provided to both Medicaid beneficiaries (<i>N</i> = 179) and providers (<i>N</i> = 188) across five Community Mental Health Centers in Kentucky. Electronic surveys collected demographic characteristics, frequency of TMH use, and TPB-based variables. Hierarchical linear regression models assessed predictors of intention toward TMH use (for beneficiaries) or care delivery (for providers), while logistic regressions examined predictors of the frequency of TMH use or care delivery. <b>Results:</b> Among beneficiaries, attitudes (β = 0.30, <i>p</i> < 0.001), subjective norms (β = 0.23, <i>p</i> < 0.001), and perceived behavioral control (β = 0.33, <i>p</i> < 0.001) significantly predicted intentions to use TMH (Adjusted <i>R</i><sup>2</sup> = 0.75, <i>p</i> < 0.001). For providers, subjective norms (β = 0.45, <i>p</i> < 0.001) were the strongest predictor, followed by attitudes (β = 0.31, <i>p</i> < 0.001) and perceived behavioral control (β = 0.21, <i>p</i> < 0.001) (Adjusted <i>R</i><sup>2</sup> = 0.72, <i>p</i> < 0.001). The frequency of TMH care delivery was associated with intentions among providers (odds ratio [OR] = 2.16, <i>p</i> = 0.02). Among beneficiaries, non-White ethnicity (OR = 3.70, <i>p</i> = 0.007) and higher education (OR = 3.80, <i>p</i> < 0.001) predicted frequency of TMH use. <b>Conclusion:</b> TPB-based variables predicted intentions to engage with TMH services among our sample of Medicaid beneficiaries and providers. However, TPB-based variables were limited in predicting frequency of TMH use. This finding highlights a critical intention-behavior gap, suggesting that structural and systemic barriers could be addressed to support TMH implementation within community mental health settings.

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Journal
Telemedicine Journal and e-Health
Published
2025-09-26
DOI
https://doi.org/10.1177/15305627251381079
Primary Topic
Technology Adoption and User Behaviour
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article
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article

Examining Factors Associated with the Intentions Toward and Use of Tele-Mental Health Services Among Medicaid Providers and Beneficiaries

Sarret Seng, Chizimuzo T.C. Okoli, A Makowski, Zainab S. Almogheer et al.
Telemedicine Journal and e-Health
Technology Adoption and User Behaviour
article

Examining Factors Associated with the Intentions Toward and Use of Tele-Mental Health Services Among Medicaid Providers and Beneficiaries

Sarret Seng, Chizimuzo T.C. Okoli, A Makowski, Zainab S. Almogheer, Tianyi Wang, Emily Koyagi, Holly Stith
article en

Abstract

<b>Background:</b> Treatment adherence among individuals with mental illness remains a pressing public health issue. Tele-mental health care (TMH) can improve care access and continuity. This study applied the theory of planned behavior (TPB) to examine how intrinsic motivations influence intentions and use of TMH among Medicaid beneficiaries and providers. <b>Methods:</b> A survey was provided to both Medicaid beneficiaries (<i>N</i> = 179) and providers (<i>N</i> = 188) across five Community Mental Health Centers in Kentucky. Electronic surveys collected demographic characteristics, frequency of TMH use, and TPB-based variables. Hierarchical linear regression models assessed predictors of intention toward TMH use (for beneficiaries) or care delivery (for providers), while logistic regressions examined predictors of the frequency of TMH use or care delivery. <b>Results:</b> Among beneficiaries, attitudes (β = 0.30, <i>p</i> < 0.001), subjective norms (β = 0.23, <i>p</i> < 0.001), and perceived behavioral control (β = 0.33, <i>p</i> < 0.001) significantly predicted intentions to use TMH (Adjusted <i>R</i><sup>2</sup> = 0.75, <i>p</i> < 0.001). For providers, subjective norms (β = 0.45, <i>p</i> < 0.001) were the strongest predictor, followed by attitudes (β = 0.31, <i>p</i> < 0.001) and perceived behavioral control (β = 0.21, <i>p</i> < 0.001) (Adjusted <i>R</i><sup>2</sup> = 0.72, <i>p</i> < 0.001). The frequency of TMH care delivery was associated with intentions among providers (odds ratio [OR] = 2.16, <i>p</i> = 0.02). Among beneficiaries, non-White ethnicity (OR = 3.70, <i>p</i> = 0.007) and higher education (OR = 3.80, <i>p</i> < 0.001) predicted frequency of TMH use. <b>Conclusion:</b> TPB-based variables predicted intentions to engage with TMH services among our sample of Medicaid beneficiaries and providers. However, TPB-based variables were limited in predicting frequency of TMH use. This finding highlights a critical intention-behavior gap, suggesting that structural and systemic barriers could be addressed to support TMH implementation within community mental health settings.

Telemedicine Journal and e-Health
University of Kentucky (US)
Openalex Percentile: Top 74%
Technology Adoption and User Behaviour
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