Abstract: Disparities In Psychotherapist Availability across South Asian Languages In the United States: The Role of Interstate Licensure Compacts (Society for Social Work and Research 31st Annual Conference)

Disparities In Psychotherapist Availability across South Asian Languages In the United States: The Role of Interstate Licensure Compacts

Schedule:
Sunday, January 24, 2027
Union Station 15 (Hilton San Francisco Union Square)
* noted as presenting author
Nari Yoo, PhD, Assistant Professor, University of Michigan-Ann Arbor, Ann Arbor, MI
Manvinder Gill, MSW, PhD Student, University of Michigan-Ann Arbor, Ann Arbor, MI
Background and Purpose: Data aggregation masks within-group health disparities among Asian Americans. Language concordance between providers and clients is associated with better mental health access, yet no study has assessed therapist availability disaggregated by South Asian language. South Asian Americans speak languages from at least four distinct language families, and aggregating them into a single category obscures whether specific language communities have adequate access to language-concordant mental health care. Grounded in structural competency theory, this study examined psychotherapist availability, provider characteristics, insurance acceptance, and geographic distribution across eight South Asian languages (Hindi, Urdu, Punjabi, Gujarati, Bengali, Tamil, Telugu, Nepali) and modeled the potential impact of interstate licensure compacts on geographic coverage.

Methods: We analyzed 347,464 psychotherapist profiles from the Psychology Today provider directory, identifying 2,310 unique therapists listing one or more of eight South Asian languages. Provider counts were linked to American Community Survey (ACS) 2018-2023 population estimates for total and limited English proficiency (LEP) speakers. Generalized estimating equations (GEE) with state-level clustering were used to model predictors of language availability for higher-prevalence languages, and Firth's penalized logistic regression with 1:20 case-control sampling was used for rarer languages. We simulated the impact of four interstate licensure compacts (PSYPACT, Counseling Compact, LMFT Compact, Social Work Licensure Compact) on LEP population coverage and zero-provider states.

Results: Only 0.66% of U.S. therapists offered any South Asian language. Hindi had the highest supply (1,765 therapists; 1,140.9 per 100,000 LEP speakers), while Nepali had the lowest (35 therapists; 23.0 per 100,000 LEP speakers), a nearly 50-fold difference. Nepali providers were present in only 15 of 52 states. Multicultural therapy orientation was the strongest correlate of language availability across all eight languages (OR range: 3.02-4.49). Social workers had significantly lower odds of offering South Asian languages than psychologists, despite social workers and mental health counselors each comprising roughly a third of the overall therapist workforce. Medicaid acceptance among South Asian language therapists was low (5.8% to 21.2%), and over half practiced out-of-network. Under current conditions, Nepali LEP speakers had no in-state providers in 39 states. Combining telehealth with full interstate compact participation achieved near-universal coverage (over 99.7%) across all eight languages.

Conclusions and Implications: Aggregating South Asian Americans into a single category obscures severe language-specific access gaps in mental health care. Nepali, Telugu, and Bengali speakers face the most acute shortages. The finding that language availability depends primarily on individual provider orientation rather than institutional workforce design indicates a structural failure. Interstate licensure compacts represent a concrete policy mechanism for redistributing a small but geographically concentrated bilingual workforce to meet dispersed demand. Policy efforts should target compact enrollment, Medicaid reimbursement for language-concordant providers, pipeline programs for underrepresented South Asian language therapists, and routine disaggregation of South Asian language data in federal reporting systems.