Telehealth Services for Mental Health Care: A Secret Shopper Study

By HEOR Staff Writer

February 22, 2024

Telehealth Services for Mental Health Care

Introduction:

There have been major shifts in healthcare delivery due to the recent pandemic, with telehealth being one area that has seen the most impact. In the United States, the use of telehealth services for mental health care has seen a remarkable increase, fuelled by changes in federal and state policies related to financial reimbursement of these services.

The Rise of Telehealth in Mental Health Care:

Particularly in the midst of the epidemic, telehealth has emerged as an indispensable instrument for the delivery of mental health treatments. According to studies, the overall volume of services for mental health issues has remained consistent, despite constraints on in-person care. This can be partly due to the rise in the number of telehealth appointments. On the other hand, the availability of these telehealth services and the makeup of these services are still substantially unexplored.

The Secret Shopper Approach:

A ‘Secret Shopper’ strategy was utilised in a recent study in order to gain an understanding of the present landscape of telehealth services for mental health care professionals. In this approach, researchers make contact with establishments while posing as potential customers in order to inquire about the availability of services. By taking this method, a clear and up-to-date image of the layout of services across the United States is provided.

Findings and Discussions:

The survey revealed that approximately one in five facilities did not respond despite multiple attempts. Among those successfully contacted, most were accepting new clients and offering telehealth services. However, the availability of telehealth services varied across states, and there was heterogeneity in the types of clinical services offered via telehealth.

Figure 1. State-Specific Median Wait Times to Next Available Telehealth Appointment
at Surveyed Mental Health Treatment Facilities

The survey also found that the median wait time for a telehealth appointment was over two weeks, with significant geographic variation. Interestingly, private facilities were nearly twice as likely to offer telehealth services compared with public facilities.

Implications and Future Directions:

These findings underscore potential heterogeneity in the availability of treatment from specialty practitioners in the US. More work is needed to investigate the possible reasons for these differences. Policymakers should consider broadening policies allowing facilities to offer telehealth across state lines to improve telehealth wait times.

Figure 2. State-Specific Proportions of Surveyed Mental Health Treatment Facilities
With Reported Telehealth Services

Conclusion:

The COVID-19 pandemic has undeniably accelerated the shift towards telehealth in mental health care. However, prospective clients may face several hurdles in finding a facility that offers comprehensive telehealth services. Therefore, it is paramount to continue exploring ways to optimise the availability and accessibility of these services.

Reference url

Recent Posts

Innovative Therapies Access Portugal
Evaluating Innovative Therapies Access in Portugal

By João L. Carapinha

June 11, 2026

According to Paulo Gonçalves in the APIFARMA newsletter, Innovative Therapies Access in Portugal directs resources toward therapeutic innovation at levels substantially below feasible ambitions. Protracted authorization processes impose measurab...
clinical skill assessment
Transforming Clinical Skill Assessment with Intelligent Evaluation Systems

By HEOR Staff Writer

June 10, 2026

Clinical skill assessment has long been hampered by subjective judgments and variability among examiners. A novel unified intelligent framework replaces these manual observations with contrastive learning to deliver objective, trace...
Federated Generative Learning
Advancing Medical AI through Federated Generative Learning

By HEOR Staff Writer

June 10, 2026

Federated Generative Learning is emerging as a practical breakthrough for multi-center medical image analysis, simultaneously tackling communication overhead, data scarcity, and institutional heterogeneity. The framework trains a shared prompt generator that produces individualized visual prompts...