{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T17:59:27Z","timestamp":1787162367912,"version":"build-2736575974"},"reference-count":33,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T00:00:00Z","timestamp":1770768000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>Mental health disorders affect nearly one billion people worldwide, yet treatment gaps exceed 75% in low- and middle-income countries. Teletherapy has emerged as a scalable solution, but its adoption differs sharply by economic context. This comparative ecological policy analysis used secondary aggregate data from WHO, World Bank, ITU, and national reports to examine teletherapy adoption in low-income (Nigeria, Kenya), middle-income (South Africa, India), and high-income countries (Norway, Canada). Descriptive statistics and simple linear regression were applied, with findings interpreted through the Consolidated Framework for Implementation Research (CFIR), Technology Acceptance Model (TAM), and Diffusion of Innovations theory. High-income countries achieved widespread adoption (&gt;70%), enabled by universal broadband, comprehensive regulation, and strong reimbursement. Middle-income countries showed moderate uptake (15\u201330%), constrained by rural\u2013urban digital divides and inconsistent policies. Low-income countries reported minimal integration (&lt;5%), limited by unreliable internet, severe workforce shortages, high data costs, and sociocultural barriers. Digital infrastructure, regulatory maturity, and mental health workforce density explained 78% of the cross-country variance in adoption rates (R2 = 0.78). Equitable scale-up of teletherapy directly supports SDGs 3, 9, 10, and 17. Targeted investment and cross-income collaboration are essential to prevent digital mental health solutions from exacerbating existing inequities.<\/jats:p>","DOI":"10.3390\/ijerph23020230","type":"journal-article","created":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T11:13:15Z","timestamp":1770808395000},"page":"230","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Global Disparities in Teletherapy Adoption: A Cross-Income Analysis of Mental Health Access"],"prefix":"10.3390","volume":"23","author":[{"given":"Gloria Nnadwa","family":"Alhassan","sequence":"first","affiliation":[{"name":"Department of Nursing, Faculty of Health Sciences, Istanbul Geli\u015fim University, Istanbul 34310, T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7982-6988","authenticated-orcid":false,"given":"Arda","family":"Ozturkcan","sequence":"additional","affiliation":[{"name":"Department of Nutrition and Dietetics, Faculty of Health Sciences, Istanbul Gelisim University, Istanbul 34310, T\u00fcrkiye"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2148-3622","authenticated-orcid":false,"given":"Seyma Caliskan","family":"Cavdar","sequence":"additional","affiliation":[{"name":"Department of Economics, Faculty of Economics and Administrative Sciences, Dogus University, Istanbul 34680, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,2,11]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2022). 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