Why Create a Custom Mental Health App In 2022

According to data from the National Alliance for Mental Health, 1 in every 5 adults in the US experiences mental illness, while 1 in every 6 youths in the US aged 6 – 17 experiences a mental health disorder every year. More abysmal is that suicide is the leading cause of death for those aged between 10 and 34 in the US. This data alone is proof that there is a need to make mental health applications available to the general public. It would also explain why there is an influx of mental health apps in app stores ranging from those helping relieve symptoms to those that help healthy people remain healthy.

Reasons why developing a mental health app is a great idea

There are several reasons why developers, who are keen on helping those suffering from mental health problems, consider creating a mental health application. Here are three reasons.

It will help bring mental health services to those who cannot get them

Data from the Anxiety and Depression Association of America shows that approximately 18% of adults in the US suffer from anxiety disorders, yet only 36% of these individuals receive treatment. Furthermore, according to data from the National Council Medical Director Institute, 77% of US counties have a severe shortage of psychiatrists. This implies that, even if more patients decided to get help, there would come a point where the current practicing psychiatrists may be unable to help many people. With mental health apps, more people can receive help from the comfort of their homes from different mental health practitioners from all over the world.

High demand

The Coronavirus has caused havoc, not just to the physical health of individuals, but also to their mental health. Many people have lost their jobs, lost family members, and some industries like the healthcare industry have been severely affected. According to a report by The Standard in 2020, 46% of health workers interviewed from a sample size of 1400 said they were suffering from a mental health issue. This is compared to 39% in 2019. This increase implies that more people will be looking for mental health apps in the future.

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Room for improvement

Data from the Digital Mental Health Revolution report shows that there are more than 10,000 mental health apps available today, with over 100 startups each year. However, many of these apps are underperforming. Some applications do not cater to many users’ needs and preferences, and some need to be upgraded to meet the current needs and demands. There is room for more to be done, moving from traditional therapy techniques to apps encouraging patients to do more self-care practices.

With the aim of improving the quality of services they offer, we find platforms raising money. For example, Lyra Health raised $175 million at a $2.25 billion valuation to connect workforces to therapists and mental health services. Similarly, Calm raised over $70 million, and Headspace raised over $400 million. Some of these funds are being used to improve the services they offer, and making mental health services more readily available e.g. free in some cases.

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Types and examples of the best mental health apps

Not all mental health apps are created equal. There are many different types of mental health apps offering different services. Consider the different types and  examples of each;

General mental health apps

These applications help users to maintain their mental health by helping them maintain good habits and break bad habits. They also help them maintain their physical, emotional, psychological, and spiritual health, which all contribute to their mental health. These applications can serve functions such as mood trackers, giving positive quotes, and giving relaxation exercises like guided meditation. Mindfulness and Meditation apps fall under this category. One such application is Moodfit.


moodmission application for mental health

Moodfit is a free mental health app designed with tools and insights to ‘shape up’ your mood. It helps you get into mental shape the same way you would get into physical shape. Moodfit can help you feel better whether you are feeling anxious, depressed, stressed or have PTSD.

Here is how it works:

  • You fill out a questionnaire that helps you determine the severity of your symptoms. You also get articles and audio files that can help you understand what you are experiencing.
  • You can track your moods.
  • Eventually, you can understand the effects certain things and activities have on your mood, for example, specific medications, amount of sleep, or exercise.
  • Receive actionable insights to help you feel better and alter your mood

Education and assessment apps

Such applications help their users to get information on mental health disorders such as PTSD, bipolar disorder, anxiety and depression, eating disorders, and negative thoughts, among many others. These apps share materials used by mental health practitioners when identifying mental health disorders. One such application is Sanvello.


sanvello app for mental health

Sanvello’s mission is simple. ‘To help people build the life skills they need, anytime, anywhere, in any way they choose.’ To do so, they provide their users with clinically validated, evidence-based tools and techniques to help them deal with stress, depression, anxiety, etc. A randomized study of 500 adults who had mild to moderate anxiety found that Sanvello’s tools successfully decreased symptoms. These effects lasted even after the participants stopped using the app.

By using Savvello, you can:

  • Find cognitive behavioral therapy tools
  • Learn mindfulness skills
  • Track your mood and health using their inbuilt tools, and use this information to improve your mental and physical health
  • Follow the guided journeys designed to help you feel more in control of your life.
  • Use the tools to cope with specific issues, for example, the fear of public speaking.

Mental disorder apps

There are many mental disorders apps. These help you deal with specific mental disorders by providing you with the tools necessary to help you function better. Current mental disorder apps deal with problems such as depression, PTSD, anxiety, and schizophrenia. They use techniques such as cognitive behavioral therapy cbt, Mood monitoring, cognitive training, and rational emotive behavioral therapy.

More development is expected to help treat other disorders. For example, there is still room in the mental health apps market for PTSD, Bipolar Disorder Apps, Eating Disorder Apps, and Obsessive-Compulsive Disorder Apps, and cognitive behavioral therapy cbt apps, among others.



moodmission mental health application

One great application that caters to users with PTSD, depression, anxiety, bipolar disorder, and stress is MoodMission. Here are some of its functionalities:

  • Go through an available list of options and choose the problem you are experiencing.
  • Receive five ‘mission’ suggestions based on the information you provide
  • Go through each mission with mindfulness, understanding the activities in that mission together with how it may help
  • Accept a mission, and after completing it, rate how distressed you feel.
  • Your completed missions are logged, and you are ranked based on completed missions.

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Online therapy apps

These apps act like banks when you swipe your card at Starbucks (they are intermediaries). They connect you to licensed mental health professionals near you. There are several ways to meet your therapists, depending on your preferences and what the app offers. Ideally, you can get onto an online call, a video call, or chat online. Some apps give group therapy sessions whereby several patients get on a conference call and have a group therapy session. One great example of an online therapy mental health app is Calmerry.


mental health app development calmerry

Calmerry will connect you with therapists that match your needs to get you the help you need in order to achieve your goals and meet your needs. There are many types of therapists available such as:

  • Cognitive-behavioral therapy (CBT) 
  • Gestalt therapy 
  • Acceptance and commitment therapy (ACT)
  • Solution-focused brief therapy (SFBT)
  • Schema-focused therapy (SFT), etc

Here’s a gist of how using Calmerry will work:

  • Get a brief assessment where you answer several questions
  • Choose how you wish to get therapy
  • Select a subscription option that works for you
  • Get matched with the right therapist for you
  • Start your therapy sessions.


Must-have Features for Mental Health Mobile Apps

While different mental health apps have different features, there are some features that every mental health app development team should strive to incorporate. These features can be broken down into two main groups: Features for patients and mental health professionals. Here is a breakdown of each.

For the patient

These features make it easy for you to track your progress. Some have mood tracking, guided meditation, breathing exercises, and mindfulness among other important features. Here’s a more comprehensive look at the features;

An entry survey – This survey is used to collect basic information concerning the user. This information includes their age, location, gender, family status, current mental health conditions, etc. This information can help the application match the client with the most relevant therapist. Some apps give an entry assessment test that helps users identify the cognitive issues they are facing, particularly if they have never been diagnosed before.

Matching flow – The entry survey and assessment data is used to match the patient to a  therapist. In the US, counselors practice in the states where they are licensed, so factors like the state may determine which counselors will be matched. The apps typically match users to a new counselor for free if they are not satisfied with the one they get.

Text messaging functionality – This feature is excellent for patients or therapists who prefer to communicate through online chat. It’s also an easy way to reach out, for example, if the therapist is currently in another session.

Video conferencing – This function is excellent for video sessions.

Subscription – This is how many of these apps monetize their applications and pay counselors. Users chose the subscription that fits their needs and can cancel at any time or ask for refunds in line with the terms of service. Some subscriptions unlock extra features, e.g., video conferencing.

Therapy space – Therapists use this space to record their patients’ goals and track their progress in real-time.

Therapy management – Patients can use this space to manage their therapy sessions, e.g., pause accounts for some time or put unfinished sessions on hold.


For counselors

Short survey – These verify that the therapist is certified to work with patients. These can include asking for clinical permits, state permits, etc. They also give any necessary information about the counselor.

Text and video chats – This is how counselors access their patients

Caseload management – This allows the therapist to manage their caseloads and even determine how many clients they are willing to work with.

Tech stack for a custom mental health application

The tech stack creates an ecosystem allowing several technologies to run one application. Some technologies to use include;

  • Angular for the front-end
  • Daily.co for secured video calls
  • Ionic for developing a hybrid mobile app
  • Node.js for the backend
  • S3 Bucket for developing the messaging feature from scratch
  • MongoDB for secured database
  • Redis for sessions queues
  • Pusher to send push notifications without sensitive data
  • Kafka for exchanging messages between microservices

Ideally, you want to find developers with experience in one or more technologies listed.

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Developing mental health mobile apps

You would be hard-pressed to find one person to develop the application. You are better off hiring several specialists. The specialists needed include;

Business Analyst (BA)

The BA will bridge the gap between IT and the business by using data analytics to find solutions that will fit both your mental health business and your potential clients.

Project Manager (PM)

The PM is responsible for running the project on a day-to-day basis, including ensuring that it stays within budget, is done on time, and is done within the scope laid out.

System Architect

The system architect will write the technical documentation for the project data after receiving and analyzing data from the PM and the BA.


Developers offer one or more technical solutions,


Designers visualize the project by making prototypes, creating flow in the app, finalizing the project design, etc.

Quality Assurance Managers

Quality Assurance Managers test the lines of code to ensure that the parts of the project align with the technical documentation and that they work correctly.

As you can imagine, it may be very time-consuming and expensive to interview every person needed to make the app a reality. For this reason, it may make more sense to outsource to a development team. Here are six steps to hiring an outsourcing app development team to understand how to go about that process.

If you are wondering what it may cost to hire an outsourcing app development team, here are some numbers. These values depend on factors such as the team’s geographical location and the app’s features. A simple app may cost you between $25,000 to $50,000. A complex app with multiple features may cost from $100,000 to $200,000.

Costs aside, government compliance for sensitive patient information is a core issue you need to understand.


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HIPAA, PHIPA, and GDPR compliance

Many people opt to use mental health mobile apps over traditional therapy because they understand it to be more private. Some regulatory guidelines for mobile mental health providers ensure the app’s safety and, consequently, its reputation. Essential components include;

HIPAA compliance. When developing the app, it may be helpful to determine whether the HIPAA Privacy and Security Rules apply. A healthcare app becomes Subject to HIPAA if it includes the user’s Protected Health Information (PHI) that can be traced back to the patient. Otherwise, most mental health apps in the app stores are not subject to HIPAA as they are meant for the patient’s private use.

GDPR privacy standards. GDPR requirements are EU regulations directing how businesses should manage personal data. If your app will serve users in the EU, it is advisable to meet these requirements.

Regulatory guidelines. Mental health practices are regulated on federal and state levels. Therefore, it’s essential that you only engage licensed therapists who are acquainted with the federal and state laws. If you are unsure which regulations your application should meet, this interactive mental health apps tool, designed by the Federal Trade Commission, might help.

Encrypting app data. Ensure that all stored or shared data is encrypted at all stages – Passcodes, usernames, and biometrics. 

These features help keep the user’s data private from prying eyes on their end, which helps them feel more secure.


TIPS from The APP Solutions

When developing Calmerry, The APP Solutions faced many issues. Below are some solutions that were useful in solving these issues

Therapist validation

To adhere to federal and state regulations about where therapists can offer their services, you need to develop a way of validating the licenses of the therapists hired. You then need to develop an algorithm that matches therapists and users from the same states only.


The app’s architecture needs to handle hundreds of actions done by thousands of users regardless of location. An application with video conferencing capabilities functionality, for example, may require heavier loads on the servers compared to chat-based apps.

Unique session I.D. per call and token per participant

Session IDs are necessary to initiate calls. Participant tokens will be unique to the session IDs and will enable users to join the calls. The session IDs can also help prevent double-booking in the calendar if a calendar function exists.


To ensure the safety of confidential and sensitive information, it is advisable to encrypt text messages and videos on both endpoints.

The bottom line

According to data from the KFF, more than 30% of adults reported symptoms of anxiety, PTSD, or depression during this pandemic period. This implies that the time is ripe for mental health app developers to develop health apps and online therapy platforms to help people cope with mindfulness and mental health.

If you are looking for a reliable tech partner for your mental health project, the APP Solutions is a mental health and therapy app development company. We can provide solutions for therapy app development and other similar projects.  Drop us a few lines and we will get in touch with you.

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How Mental Health Chatbots handle stress?

The rapid development of natural language processing and conversational interfaces has enabled a more progressive way of dealing with mental health problems, stress management, and psychological relief. 

It’s a big deal. According to the World Health Organization research, more than 300 million people are suffering from depression alone, not to mention other types of mental issues. Just a couple of months ago burnout was officially recognized as a medical condition. And this kind of thing is almost inevitable among professionals of any field. 

According to a Scientific American study, the economic cost of depression in the United States accounts for hundreds of billions of losses per year.

And while the need for mental health services is getting higher, its availability is unable to catch up. In this environment, the traditional means of psychological relief and stress management aren’t efficient enough. 

If you want to make Mental Health Chatbot, this article is right for you. In this article, we will look at: 

  • What mental health chatbots are?
  • How do mental health chatbots work?
  • Four major mental health chatbot applications and their business models;

What are mental health chatbots? 

A mental health chatbot is a type of a conversational interface application designed to: 

  • Have a conversation with the patient regarding his mental wellbeing; 
  • Provide instant 24/7 available chat;
  • Deliver detached statistics for the patient to self-regulate his mental state; 
  • Give users basic recommendations on how to improve a patient’s mental wellbeing; 

The primary goal of a mental health chatbot is: 

  • to help patients to manage and understand their mental states on their own as much as possible; 
  • connect with mental health professionals upon necessity. 

Mental health chatbots originate from the very beginnings of natural language processing conversational interfaces – ELIZA

Joseph Weizenbaum developed this chatbot in 1964-1966. Originally, ELIZA was proof of the concept “to demonstrate the superficiality of communication between humans and machines.” However, ELIZA quickly proved itself to be more than that. 

As it turned out, ELIZA was good at talking with people. At its core, ELIZA had mere pattern matching and substitution scripts that gave the illusion of machine understanding of the user’s input message. 

One of its scripts, titled DOCTOR, imitated a classic person-centered psychotherapy session blueprint. It wasn’t anything sophisticated – just a couple of template phrases, but it worked incredibly well. 

Despite its simplistic design, ELIZA was engaging enough to let people speak out about their problems (which is the simplest model of providing psychological relief). This laid the groundwork for future healthcare chatbots.

These days, mental health chatbots are not just a couple of template phrases that imitate language understanding. 

Modern mental health chatbots integrate into the healthcare system and involve certified medical professionals. These chatbots automate specific processes and also streamline the interaction between the patient/user and mental health professionals. 

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How do Mental Health Chatbots work?

Mental health chatbots are designed to maintain a conversation, not to lead it. In a way, using a mental health chatbot resembles practicing tennis against a wall. 

The general functional framework of mental health chatbots is based on Cognitive Behavioral Therapy methodology. CBT is a form of talking therapy designed to manage mental health states by rearranging the way the patient perceives it, i.e., making negative thoughts positive.

The list of chatbot features revolves around: 

  • Kickstarting a topic for conversation, 
  • asking directional questions, 
  • providing follow-ups to expand responses. 

The NLP algorithm, with Sentiment Analysis features, handles the flow of the conversation. It recognizes keywords and terms. Each trigger word has a decision tree. It is designed to gather as much information as possible and provide a viable resolution – either a simple conclusion, a piece of advice or contact professional help. 

The critical design component in mental health chatbots is the so-called empathetic engagement. 

In the context of a conversational interface, empathetic engagement means: 

  • making the impression of a credible and trustworthy conversation partner that can hear you out and offer a detached point of view on things.

Since the user is already aware of the artificial nature of the conversational interface, there is no need to bend over backward to imitate a full-blown human-human conversation. Instead, the chatbot needs to provide the necessary minimum credibility to enable the user’s suspension of disbelief. 

One of the biggest challenges of mental health chatbots is privacy and confidentiality. Since the entirety of user activity is related to personal matters and thus is sensitive information – it is necessary to address this issue.

The most effective solutions for this are:

  • End-to-end encryption of the user-bot interaction;
  • Making the user profile in the application database anonymous.  

Now let’s look at several major mental health chatbot applications and explain their inner workings.

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Major Mental Health Chatbot application overview

1 Moodkit & Moodnotes – paid app

Moodkit and Moodnotes are products of the company Thriveport. Both apps aim at managing the state of mental health. 

Both Moodkit and Moodnotes are traditional paid apps that charge $4.99 for an install, after which you get the full scope of features and customer support.

Moodkit was the first mental health app of the company. Launched in 2011, it is less of a chatbot and more of a mental health CRM. Moodkit was one of the trailblazers of mental health applications in the early 2010s. From a modern point of view, it is more of a proof of concept that was later perfected in Moodnotes.

Moodkit’s framework is specifically designed to engage users as much as possible to have control over their mental state and substantially improve it. In a way, Moodkit motivates the user to improve his mood and mental state with its handy tools.

The application itself consists of four tools:

  • Moodkit Activities – a tool that suggests what things to do to improve the user’s mood (for example, take a walk or talk to somebody);
  • Thought checker to manage negative feelings caused by a specific situation. It is used to identify and subsequently reiterate the thoughts into more positive ones;
  • Mood Tracker – designed to chart the permutations of the mood over the day, week, month, and so on;
  • Moodkit Journal – a kind of a notebook for a user to keep thoughts and comments on his mood and related events. 

Moodnotes is a kind of more sophisticated and elaborate version of Moodkit. The app was released in 2015, its framework is similar to Moodkit, but there is more thorough automation involved. Moodnotes applies Natural Language Processing and Sentiment Analysis to provide more profound and helpful insights into the user’s mental state. 

  • The user needs to describe his mood of the moment, rate it, and add some comments
  • Next, the app runs an NLP Sentiment Analysis algorithm that recognizes the polarity of the mood, and also its pattern, based on the available user activity.
  • After that, the application’s chatbot engages with the user in a conversation to determine the current thought pattern of the user
  • The questions are designed to reflect emotions and iterate them into more positive patterns

As a result, the bot provides some words of encouragement in a manner of “keep on keeping on.” It is very similar to how Grammarly engages with users to methodically fix texts.

2 Woebot – free app

At the time of writing this article, Woebot is one of the most prominent players in the field of mental health chatbots with over 100k downloads in GooglePlay alone. Founded back in 2017, it managed to take over the game by simply making the most efficient version of the product. In 2018, Woebot had managed to raise $8 million in series A funding. 

Woebot is a distillation of the best conversational interface solutions of the decade, streamlined and adapted for healthcare purposes. The other reason for its rising popularity is the fact that it is a free application. 

At its core, Woebot is a chatbot that keeps an eye on the mood of the user. It provides a platform for the user to speak out, contemplate, and reflect through meticulously designed conversation trees. 

Every once in a while the bot asks the user how he feels and how he’s doing. In response, the bot provides some handy advice or drops relevant contacts with mental health professionals if the situation is that dire. 

  • The NLP component provides a necessary level of personalization and spices up the conversation with a bit of humor
  • Sentiment Analysis is used to identify critical patterns in the user’s input and drive the conversation in a more positive direction

The continuous use of application accumulates its efficiency. There is daily check-in that provides the bot with the necessary information for analysis and, that in turn contributes to better healthcare advice in the future.

According to 2017 research by Stanford School of Medicine, throughout a two week test period, mental health chatbot users reported a decrease in anxiety and depression compared to a control group.

3 Wysa – free app with in-app purchases

Wysa is a kind of more ambitious spin on a mental health chatbot concept. Launched in 2015, Wysa is a result of a collaboration between Columbia and Cambridge universities (and also Touchkin, who did the development). 

Wysa markets itself as an “emotionally intelligent” chatbot to manage emotions and thoughts. The bot itself is built on a Facebook Messenger framework, compatible with IOs and Android so that it is available to as many people as possible.

One of Wysa’s key competitive advantages over other mental health chatbots is its scope. 

  • In addition to the standard Cognitive Behavioral Therapy method, which handles more casuals moods, Wysa applies Dialectical Behavior Therapy (something Woebot is currently working on)
  • It is a big deal because DBT aims at unhealthy, suicidal, and self-destructive behavior, and finds ways of getting out of such situations

The other Wysa innovation is the addition of meditation and yoga advice. While it is not everyone’s cup of tea, it might be a solution for some.

The rest of the framework is similar to Woebot. The user interacts with the bot, provides some information, and, based on that, the bot gives a custom response. There are daily check-ins and detailed stats. 

The other features that differentiate Wysa from the rest are in-app purchases. There is a subscription fee ($29.99 monthly) that enables a more personalized approach with a human operator.  

4 Sanvello – freemium app

Sanvello is a more glamorous variation of mental health chatbots. Developed by PacificaLabs in 2014, Sanvello (known initially as Pacifica) is more inclined to so-called “mindfulness” than straightforward “psychological relief” that is the core of CBT-based chatbots.

As such, Sanvellois a much broader tool that adds to mood tracking and management meditation and relaxation features.

Unlike the other bots on the list, Sanvello adds audio and video recognition tools to traditional text input. The use of image and voice machine learning algorithms helps to determine the state of the user and provide some relevant and helpful advice.  

The app’s features include: 

  • General mood tracking for everyday use
  • Human help feature for emergency cases
  • Coping tools to handle stressful situations
  • Progress assessment feature to see things from a long-term perspective

The other significant feature of Sanvello is the social element. Unlike other mental health apps, Sanvello connects users to share experiences and provide mutual support. While the quality of expertise of such help might be questionable, the concept itself is worth exploring. 

Sanvello’s business model is more in line with traditional mobile applications. There is a free version with a basic set of features, and a premium version with more tools and in-depth customization of service for a monthly ($8.99), yearly ($53.99), or lifetime ($199.99) fee.

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Mental Health Chatbot Development: Final Thoughts

Mental health is one of the healthcare fields that require cutting edge technologies to provide an effective and equally available service for anybody who needs it. 

The conversational interface seems to be a viable solution capable of handling basic needs for anxiety and depression management. Even if the ultimate benefit is encouraging people to speak out about their worries and relieve stress – that’s already a giant step forward.

In this article, we have looked at four different approaches to mental health chatbots.

Such chatbots can significantly contribute to the refinement of natural language processing and sentiment analysis algorithms. Interaction with humans and different case studies may drastically expand the scope of language models and their capabilities. 

What is even more important, in the long term perspective, this will help in further psychological research. 

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