To design a mobile app to help and support in tracking the health & recovery status of Osteoarthritis patients. The app would engage with the patients from early stages of OA and continue to provide support until necessary.
- Solution Consultant / BA
- Senior UX Designer (me)
- UX Researcher
- Visual Designer
- Project Manager
- Development Engineers - 4
- Quality Analysts - 2
Roles & Responsibility
Following were my tasks & responsibilities:
- Define, plan and execute - complete design strategy and implementation
- Support User Research
- Facilitate ideation and brainstorming
- Sketching, wireframes
- Support visual design
- Hand over from design phase to development phase and follow up
What is OA?
Osteoarthritis, commonly known as wear and tear arthritis, is the most common type of arthritis. It is associated with a breakdown of cartilage in joints and can occur in almost any joint in the body. It commonly occurs in the weight-bearing joints of the hips, knees, and spine. It also affects the fingers, thumb, neck, and large toe.
Osteoarthritis causes the cartilage in a joint to become stiff and lose its elasticity, making it more susceptible to damage. Over time, the cartilage may wear away in some areas, greatly decreasing its ability to act as a shock absorber. As the cartilage deteriorates, tendons and ligaments stretch, causing pain. If the condition worsens, the bones could rub against each other.
Most people above the age of 60 will have OA to some extent with only the severity being different. This can also occur in younger people but it could have occurred mostly due to a joint injury or overuse. People above age 50, especially women are observed to have OA conditions than men.
- Joint pains
- Inflammation at joints
- Pain during movement
- Stiffness in joints because of overuse or long period of inactivity.
Treatment for OA differs based on the various factors like the severity of the pain,age, activities, medical condition, etc. and is usually a combination of medication, physical therapy, exercise and surgery would be an option when none of these other treatments have been effective.
Research was carried out to understand the causes, reasons and motivations behind OA patients consulting and not consulting doctors.
- Desktop Research was the starting point to know more about OA, collect facts and statistics about everything related to OA.
- OA Patients were interviewed to understand what they go through at various stages of OA and what their needs would be at those specific stages.
- Doctors and surgeons were also interviewed to identify their pain points while dealing with OA patients and and also understand the gaps and disconnect between doctors and patients.
- Behavior analysis was carried out with support of behavior models for patients to track and analyze the behavioral aspects for patients before, during and after treatment.
Statistic details give us hard pointers towards our main users. Here is a brief summary:
- Our users would be elderly adults in the age range above 60.
- Most of the users were affected with more than one age related health problem like lowered hearing ability, vision problems, etc.
- Many of these users were not technically inclined and were reliant on their spouse or children or care takers.
We utilized BJ Fogg's 'Fogg Model' and Nir Eyal's 'Hook Model' to understand more about how we can engage the users to a greater extent.
Many users were interviewed and were requested to let us know how it all began and what were the steps they took and at what stages. A pattern was observed. Most of the patients had ignored the pain in affected areas on their body until a certain time when their daily life was affected.
Interview were conducted with people at different stages of OA giving us more insight into what their need was.
Patients at different stages of OA, had a lot of questions and also inputs about their state and pain points before, during and after consultations with their doctors. Some of these questions lead us to frame various scenarios where there a possible simple solution could help the patients feel better. Following all these, after careful analysis of the inputs we had collected through research and interviews, we started working on putting together what all features our solution could possibly provide. A high level view of the feasible components or features was actually needed. Coggle helped us bring out this high level bird eye view.
IA & Navigation Flow
Now with knowing all these possibilities we started streamlining the solution and delved into setting up the IA and putting a structure to the navigation. Simultaneously, the dev team had started on checking the feasibility for the top features that were chosen to go with the first version. With all these information we prioritized the features based on the user need, technical feasibility and time line. Task flows and structure were put together.
After the IA was done, we started with creating the wireframes for each of the screen.
As more clarity was achieved on the functionality and better content details were received - high fidility wireframes and also visual designs were done for all the screens. A sample of the same is shown below.
The prototypes that were done were taken to many patient users and the app was received very well. We received numerous more feedback and the same were being considered to make the mobile app more streamlined. Specific results are confidential and may not be disclosed here.