In 2023, around 59.2 million adults in the United States received treatment or counseling for their mental health within the past year. Such treatment included inpatient or outpatient treatment or counseling, or the use of prescription medication. Anxiety and depression are two common reasons for seeking mental health treatment. Who most often receives mental health treatment? In the United States, women are almost twice as likely than men to have received mental health treatment in the past year, with around 21 percent of adult women receiving some form of mental health treatment in the past year, as of 2021. Considering age, those between 18 and 44 years are more likely to receive counseling or therapy than older adults, however older adults are more likely to take medication to treat their mental health issues. Furthermore, mental health treatment in general is far more common among white adults in the U.S. than among other races or ethnicities. In 2020, around 24.4 percent of white adults received some form of mental health treatment in the past year compared to 15.3 percent of black adults and 12.6 percent of Hispanics. Reasons for not receiving mental health treatment Although stigma surrounding mental health treatment has declined over the last few decades and access to such services has greatly improved, many people in the United States who want or need treatment for mental health issues still do not get it. For example, it is estimated that almost half of women with some form of mental illness did not receive any treatment in the past year, as of 2022. Sadly, the most common reason for U.S. adults to not receive mental health treatment is that they thought they could handle the problem without treatment. Other common reasons for not receiving mental health treatment include not knowing where to go for services or could not afford the costs.

In 2023, around 17 percent of men in the United States received mental health treatment or counseling in the past year. The share of men who have received treatment for mental health problems has increased over the past couple decades likely due to a decrease in stigma around seeking such help and increased awareness of mental health issues. However, women in the U.S. are still much more likely to receive mental health treatment than men. Mental illness among men No one is immune to mental illness and the impact of mental health problems can be severe and debilitating. In 2023, it was estimated that 19 percent of men in the United States had some form of mental illness in the past year. Two of the most common mental disorders among men and women alike are anxiety disorders and depression. Depression is more common among men in their late teens and early 20s, with around 15 percent of U.S. men aged 21 to 25 years reporting experiencing a major depressive episode in the past year as of 2022. Depression is a very treatable condition, but those suffering from depression are at a much higher risk of suicide than those who do not have depression. Suicide among men Although women in the United States are more likely to report suffering from mental illness than men, the suicide rate among U.S. men is around 3.7 times higher than that of women. Suicide deaths among men are much more likely to involve the use of firearms, which may explain some of the disparity in suicide deaths between men and women. In 2020, around 58 percent of suicide deaths among men were from firearms compared to just 33 percent of suicide deaths among women. Although more people in the United States are accessing mental health, barriers to treatment persist. In 2022, the thought that they could handle the problem without treatment was the number one reason U.S. adults gave for not receiving the mental health treatment they required.

In 2023, it was estimated that 28.5 percent of U.S. women received mental health treatment or counseling at some time in the past year. This statistic shows the percentage of U.S. women who received mental health treatment or counseling in the past year from 2002 to 2023.

A dataset containing basic conversations, mental health FAQ, classical therapy conversations, and general advice provided to people suffering from anxiety and depression.

This dataset can be used to train a model for a chatbot that can behave like a therapist in order to provide emotional support to people with anxiety & depression.

The dataset contains intents. An “intent” is the intention behind a user's message. For instance, If I were to say “I am sad” to the chatbot, the intent, in this case, would be “sad”. Depending upon the intent, there is a set of Patterns and Responses appropriate for the intent. Patterns are some examples of a user’s message which aligns with the intent while Responses are the replies that the chatbot provides in accordance with the intent. Various intents are defined and their patterns and responses are used as the model’s training data to identify a particular intent.

In 2020, around 55.7 percent of adults aged 18 years and older in the Netherlands reported they received counseling or treatment for their mental health in the past year, while in France around 32 percent of adults reported the same. This statistic illustrates the percentage of adults in select countries worldwide who received mental health counseling or treatment in the past year as of 2020.

Amod/mental_health_counseling_conversations

  Dataset Summary

This dataset is a collection of real counselling question-and-answer pairs taken from two public mental-health platforms.It is intended for training and evaluating language models that provide safer, context-aware mental-health responses.

  Supported Tasks

Text generation and question-answering with an advice-giving focus.

  Languages

English (en)

  Dataset Structure





  Data… See the full description on the dataset page: https://huggingface.co/datasets/Amod/mental_health_counseling_conversations.

Snapshot img

Online Therapy Services Market Size 2025-2029

The online therapy services market size is forecast to increase by USD 64.09 billion at a CAGR of 53.9% between 2024 and 2029.

The market is experiencing significant growth, driven by the surging adoption of smartphones and the increasing preference for online services. With the proliferation of mobile devices and high-speed internet, patients now have greater access to mental health services from the comfort of their homes. This trend is particularly prominent in regions with a large unmet need for mental health services, such as developing countries. However, the market is not without challenges. Privacy concerns related to patient mental health issues remain a major obstacle, necessitating robust security measures to protect sensitive data. As the market continues to evolve, companies must navigate these challenges while capitalizing on the opportunities presented by the growing demand for online therapy services.
To succeed, providers must prioritize data security, invest in user-friendly technology, and offer flexible pricing models to cater to a diverse customer base. By addressing these key areas, companies can differentiate themselves in a competitive market and effectively meet the evolving needs of consumers.

What will be the Size of the Online Therapy Services Market during the forecast period?

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The digital mental health market is booming, fueled by demand for mental health resources and patient engagement tools. Digital therapeutics, mental health technology, and virtual care drive growth, emphasizing early intervention, integrated care, and prevention programs. Health data analytics empowers data-driven therapy, with licensed therapists using sensor data and biometric data for personalized recommendations and personalized treatment plans.
Patients access online self-help tools, online support groups, and patient portals for remote therapy, enhancing mental health literacy and progress tracking. A holistic approach integrates predictive modeling and wearable technology to improve clinical outcomes and address issues like depression, sleep disorders, and substance abuse. Therapy goals focus on patient satisfaction, supported by remote healthcare and trauma-informed care. As digital mental health evolves, businesses must leverage patient engagement tools and mental health technology to stay competitive.

How is this Online Therapy Services Industry segmented?

The online therapy services industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Cognitive behavioral therapy
  Psychodynamic therapy
  Personal centered therapy
  Solution-Focused Brief Therapy (SFBT)
  Dialectical Behavior Therapy (DBT)
  Mindfulness-Based Therapy


Application

  Residential use
  Commercial
  Educational Institutions
  Corporate/Employee Assistance Programs (EAPs)
  Non-Profit/Community Use
  Telehealth Integration


Industry

  Hospitals
  Clinics
  Ambulatory centers
  Others
  Hospitals
  Clinics
  Ambulatory centers
  Others


Delivery Mode

  Synchronous
  Asynchronous


Technology Platform

  Mobile apps
  Web-based platforms
  Integrated wearable


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The cognitive behavioral therapy segment is estimated to witness significant growth during the forecast period.

In the evolving landscape of mental health services, online Cognitive Behavioral Therapy (CBT) emerges as a significant segment, integrating traditional techniques with modern digital platforms. CBT, recognized for its effectiveness in addressing various mental health concerns, now reaches a broader audience through the convenience and flexibility of the online medium. This approach, which emphasizes the identification and modification of negative thought patterns and behaviors, has gained popularity due to its accessibility. Patients can engage in CBT sessions at their own pace and schedule, fostering a more personalized and accommodating therapeutic experience. Licensed therapists, utilizing advanced technology, provide mental health assessments and tailored treatment plans for individuals dealing with conditions such as depression, anxiety, sleep disorders, trauma-informed care, and substance abuse treatment.

The integration of CBT into online services allows qualified professionals to extend their reach beyond geographical boundaries, making psychological support more accessible to those in need. Online CBT services cater to the growin

In 2014, 14.5% of White British people were being treated for mental or emotional problems when surveyed, the highest percentage out of all ethnic groups.

Abstract

This collection contains plain text transcripts of therapy sessions, associated reference works and published narratives, memoirs, and other client narratives. Documents are sourced from Alexander Street Press' Counseling and Psychotherapy Transcripts: Volume I - Counseling and Psychotherapy Transcripts, Client Narratives, and Reference Works. The transcripts of therapy and counseling sessions illustrate a range of therapeutic techniques and practices. The pairing of these transcripts with associated reference works and published narratives, memoirs, and other client narratives enhances the collection's ability to provide insight into the experience of those undergoing therapy and living with mental illness. The dataset contains more than 2,000 session transcripts, 44,000 pages of client narratives, and 25,000 pages of secondary reference material.

Usage

For a complete list of materials, please see PSYC ESR with texts_QA completed by WS 1.7.21.xlsx (under Supporting files).

Under the **Files **tab:

• **Books/ **contains the plain text of books.

%3C!-- --%3E

• Transcripts/ contains the plain text of therapy transcripts.

%3C!-- --%3E

• **Raw Files/ **contains, where available, the original, scanned copies of books or therapy transcripts, usually as a pdf or series of jpgs.

%3C!-- --%3E

Under the **Tables **tab:

• Filter files by relevant features (e.g. School_of_Therapy, Symptoms) in the **Publication Metadata **table.
• Join the **Publication Metadata **extraction with the file indices to select files for export and analysis.

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Financial overview and grant giving statistics of Go Team Therapy And Service Dogs

Dataset Card for "therapy-data-set-llama"

Created Dataset particularly focussed on conversations between a therapist and a patient which can be directly used for training of llama models. Raw Dataset is picked from Pandora Eg. Patient: Hi Therapist: Hello there. Tell me how are you feeling today? Patient: Is anyone there? Therapist: Hello there. Glad to see you're back. What's going on in your world right now? Patient: Good morning Therapist: Good morning. I hope you had a good… See the full description on the dataset page: https://huggingface.co/datasets/siddharthbulia/therapy-data-set-llama.

Global Online Therapy Services market size is expected to reach $40.14 billion by 2029 at 27.5%, segmented as by type, cognitive behavioral therapy, psychodynamic therapy, personal centered therapy

Dataset Card for "phr_mental_health_dataset"

This dataset is a cleaned version of nart-100k-synthetic The data is generated synthetically using gpt3.5-turbo using this script. The dataset had a "sharegpt" style JSONL format, with each JSON having keys "human" and "gpt", having an equal number of both. The data was then cleaned, and the following changes were made The names "Alex" and "Charlie" were removed from the dataset, which can often come up in the conversation of fine-tuned… See the full description on the dataset page: https://huggingface.co/datasets/vibhorag101/phr_mental_therapy_dataset.

According to a May 2022 survey, political division in the United States had prompted roughly ***** percent of adults to seek emotional therapy. This included ****** percent of respondents from the Democratic Party.

Financial overview and grant giving statistics of Go Team Therapy Crisis and Airport Dogs Inc.

This statistical release is the annual report on the Improving Access to Psychological Therapies (IAPT) programme from 1st April 2020 to 31st March 2021. IAPT is run by the NHS in England and offers NICE-approved therapies for treating people with anxiety or depression. The publication contains analyses on activity, waiting times and outcomes such as recovery in 2020-21. In addition, the report covers a range of demographic analyses including outcomes for patients of different ages, ethnic group and separately for ex-British Armed Forces personnel. This is the first annual publication of psychological therapies data since the transition into IAPT dataset version 2.0. This was a significant change to the structure of the underlying data. For further details about how this has impacted these analyses, see the Data Quality Statement page of this report, and also the Methodological Change Note available from https://digital.nhs.uk/iaptreports. NOTE: On 17 November 2022, the main csv, therapy role csv and therapy type csv were mainly updated to include some missing breakdowns and apply some further suppression where needed. Due to the move from v1.5 to v2.0 of the dataset part way through the year, the amended main csv file now also includes some v2.0 data that was previously missing for one measure (CountTherapyEndTreatment_EmploymentSupport). These changes do not affect any of the national estimates previously published.

A 2021 survey found that among men who have never sought therapy, nearly a quarter said it's because therapy is too expensive. This statistic shows the percentage of men in the United States who gave select reasons for not seeking therapy as of April 2021.

This study compared the therapeutic working alliance in brief counseling using two delivery methods: synchronous video delivery and in-person delivery. The alliance was measured using the Working Alliance Inventory (client version). Participants were 49 undergraduate college students between the ages of 18 and 22. Solution-Focused Brief Therapy was the treatment protocol, and the study used a randomized, controlled design. Welch’s t-tests and non-inferiority analyses were conducted, in addition to hierarchical regression analyses to examine the predictive value of the working alliance on post-treatment anxiety. Non-inferiority statistical analyses indicated that there was no statistically significant difference in working alliance for online delivery compared to in-person. A hierarchical regression anaIysis suggests that the therapeutic working alliance contributed to anxiety treatment outcomes for college student participants., Dataset was collected through pre and post Working Alliance Inventory assessments, as well as Beck's Anxiety Inventory assessments, in Qualtrics. Data was exported to SPSS where Welch's t-tests and non-inferiority analyses were conducted, as well as hierarchical regression analyses.Dataset was managed and accessible to authors only., , # Therapeutic Working Alliance in Brief Therapy with College Students: In-Person versus Telemental Health

https://doi.org/10.5061/dryad.b2rbnzspt

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This dataset includes responses of participants on the Beck’s Anxiety Inventory BEFORE the intervention, AFTER the intervention (3 solution-focused brief therapy counseling sessions) and at 3-week follow-up after end of the study. It also includes the results of the Working Alliance Inventory after one counseling session and after the final, 3rd counseling session. In addition, the delivery of counseling (whether in-person TAU or telemental health-experimental) is indicated. Finally, we looked at scores on the Counseling Center Assessment of Psychological Symptoms (CCAPS) re: anxiety. This allowed us to compare both the working alliance between in-person and telemental health and also the efficacy (changes in Beck’s anxiety scores) using t-tests and regression analyses.

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 ## Description of th...

Data and R code used for the analysis of data for the publication: Coumoundouros et al., Cognitive behavioural therapy self-help intervention preferences among informal caregivers of adults with chronic kidney disease: an online cross-sectional survey. BMC Nephrology

Summary of study

An online cross-sectional survey for informal caregivers (e.g. family and friends) of people living with chronic kidney disease in the United Kingdom. Study aimed to examine informal caregivers' cognitive behavioural therapy self-help intervention preferences, and describe the caregiving situation (e.g. types of care activities) and informal caregiver's mental health (depression, anxiety and stress symptoms).

Participants were eligible to participate if they were at least 18 years old, lived in the United Kingdom, and provided unpaid care to someone living with chronic kidney disease who was at least 18 years old.

The online survey included questions regarding (1) informal caregiver's characteristics; (2) care recipient's characteristics; (3) intervention preferences (e.g. content, delivery format); and (4) informal caregiver's mental health. Informal caregiver's mental health was assessed using the 21 item Depression, Anxiety, and Stress Scale (DASS-21), which is composed of three subscales measuring depression, anxiety, and stress, respectively.

Sixty-five individuals participated in the survey.

See the published article for full study details.

Description of uploaded files

1. ENTWINE_ESR14_Kidney Carer Survey Data_FULL_2022-08-30: Excel file with the complete, raw survey data. Note: the first half of participant's postal codes was collected, however this data was removed from the uploaded dataset to ensure participant anonymity.

2. ENTWINE_ESR14_Kidney Carer Survey Data_Clean DASS-21 Data_2022-08-30: Excel file with cleaned data for the DASS-21 scale. Data cleaning involved imputation of missing data if participants were missing data for one item within a subscale of the DASS-21. Missing values were imputed by finding the mean of all other items within the relevant subscale.

3. ENTWINE_ESR14_Kidney Carer Survey_KEY_2022-08-30: Excel file with key linking item labels in uploaded datasets with the corresponding survey question.

4. R Code for Kidney Carer Survey_2022-08-30: R file of R code used to analyse survey data.

5. R code for Kidney Carer Survey_PDF_2022-08-30: PDF file of R code used to analyse survey data.

Abstract: Introduction: Data published in literature point to an increased frequency of psychological distress among medical students. However, the causes or potentially contributory factors for this scenario are not completely understood. Understanding these factors is essential for planning a support service that welcomes, identifies, monitors and, if necessary, guides the student with mental suffering. Methods: We evaluated the pre-university admission mental health treatment report on medical students at the Federal University of Minas Gerais who sought care at the Psychopedagogical Support Center. These data, as well as demographic data and the reasons that led the student to seek the service were obtained from an enrollment form filled out by the student. Results: A total of 87 students (47 males, mean age 23.3 years) were received support from the NAPEM in the year under study. Of those, 42 (48.3%) were in the first two years of the course, 24 (27.6%) in the 3rd/4th year and 21 (24.1%) in the 5th/6th year. Mental Health treatment prior to university admission was reported by 53 (60.9%) students: 37 (42.5%) reported the use of psychoactive drugs and 16 reported psychotherapies without the use of medication. Mental Health treatment and medication prior to university admission were significantly more frequent (p = 0.04 and p = 0,04, respectively) among students in the first two years of the course than among those in other years. No statistically significant differences in relation to the average age (p = 0.06), distribution by sex (p = 0.87), origin (p = 0.68) or type of housing in Belo Horizonte (p = 0.96) were found when comparing those who had undergone psychic treatment with those who had not. Anxiety, depression/depressive symptoms and mood swings were reported by 59 (67.8%) students as reasons to seek help. Problems related to the course were reported by five (5.7%) students. Conclusion: The results of the present study suggest that Mental Health treatment prior to university admission may be one of the factors that contribute to the medical student’s mental suffering during the course.