Human Practices
Throughout the OASYS journey, we talked to people from various backgrounds, fields of expertise, experiences, and ideas. Starting right from identifying the problem, finding a solution, and validating our project idea to interacting with experts to optimise our project design and discussing its impact on society, we did it all. And that’s what Human Practices is!
Identifying the problem you are tackling → interacting with everyone affected by it → coming up with a solution → recognising the impact it will have on people
The following page discusses in detail how we identified the people we needed to meet to validate and understand our project better, people we call “stakeholders”.
The problem
Major Depressive Disorder is a complex clinical syndrome characterised by persistently low moods and loss of interest in everyday activities. It shows up as physical symptoms such as changes in appetite and sleep cycle. About 208 million people globally are affected by MDD [1], and the numbers have skyrocketed following the COVID-19 Pandemic. Not only globally, clinical depression has profoundly impacted our state, Kerala, in India. The rates of clinical depression have increased by an astounding 54% in the last decade from 2002 to 2018, and mental health morbidity has been a cause of growing concern [2].
The diagnosis of MDD relies on self-report questionnaires and clinical interviews, which may be prone to subjectivity and variability. Current methods don’t consider the biological makeup of the patient for the most part. Treatment options include therapy and antidepressant medication. However, these are time and effort-intensive for the patient.
We propose OASYS, an objective aid to complement the current methods of MDD diagnosis. Our tool works by quantifying blood biomarkers correlated to MDD. The biological makeup of a person with MDD can reveal information that can guide mental health professionals to give suitable medication. Additionally, biomarker research in the mental health field has been lagging, and like Dr. Varsha Singh, a cognitive neuroscientist from IIT Delhi, said, “Biomarker research in mental health needs to catch up.”
This is how we propose OASYS to function as a research tool, diagnosis tool, and for prognosis and antidepressant tracking. To learn more about how it’s used in real-world clinical settings, check out the Implementation page. Continue reading this page to find out how we identified the people who are affected by the project and how OASYS can affect various people.
Stakeholder Interaction
Following our initial problem identification and ideation process, we recognized the importance of further validating and refining our approach. We realized that engaging with our stakeholders is crucial for successfully developing and launching our tool. To ensure that our project aligns with the needs and values of diverse stakeholders and remains responsible and impactful, we undertook a comprehensive stakeholder identification process. Fuelled by caffeine and passion alike after a series of sleepless nights, we worked up a plan for proactively identifying and engaging with key stakeholders from various domains. This collaborative effort allowed us to categorize stakeholders into six distinct sectors. Our interactions with these stakeholders have helped us shape a robust and patient-centric diagnostic solution for depression while ensuring regulatory compliance, quality, and scalability.
Stakeholder Management
Our stakeholder interaction process has enabled us to form meaningful connections with a diverse range of stakeholders who play pivotal roles in developing and deploying our tool.
After identifying all the possible stakeholders of our project, we tried to analyse their power or influence over the project with respect to their interests. Due to the time limitation, we had to focus our efforts and channel our resources so that our work would reach the group which required it most. Accordingly, we divided the stakeholders into these four categories:
- Keep Satisfied
- Manage closely
- Minimum effort
- Keep informed
SWOT Analysis
We conducted a SWOT analysis for all stakeholder sectors to understand our current situation better and plan how to improve our project. SWOT analysis is a management technique used to identify a project's strengths, weaknesses, opportunities, and threats. We developed strategies to improve our project by analyzing how Oasys impacts different stakeholder sectors.
Click to get a detailed overview of our SWOT analysis
Mental Health Professionals
Strength: It will increase the credibility of the diagnosis of the professionals, making it easier to convince the patients and their families. This usually stands out as a problem due to the social stigma around mental health.
Weakness: Not all medical professionals will be authorized to use the tool. Since anyone can use it, it can lead to people misusing it, like not following up with proper counselling later, etc., which in turn can facilitate the social stigma. This is why OASYS doesn't aim to be a diagnostic tool on its own but to give a diagnosis together with clinical interviews.
Opportunity: We can get results faster, making the whole process easy since diagnosis of MDD is a time-consuming procedure.
Threat: The tool can have false positives.
Academicians
Strength: It allows for more objective diagnosis results in a wider population range. This will strengthen the diagnostic research since the present data is focused on a very small population, which leads to bias.
Weakness: Biomarker biology is not understood very well. We only have correlation data between a biomarker and a disease, not causation.
Opportunity: We can use OASYS as a research tool to build data on biomarkers, not just for MDD but for other diseases as well. This will also fast-track the research on biomarkers.
Threat: Compiling inclusive data can be a problem, leading to solidifying stigma and discrimination against minority groups.
Industry
Strength: OASYS can be used in multiple ways. It can work as a research tool to collect data, a prognostic tool, and an antidepressant tracking tool. Antidepressant tracking also increases opportunities in the field of personalized medicine.
Weakness: The accuracy and precision of the quantifiers can be improved by further optimizations. The cost of the tool can be decreased over time.
Opportunity: The same tool design and quantifier design can be optimized for use in biomarker-based diagnosis of other diseases.
Threat: Obtaining a permit license and patents for the tool is a rigorous and time-consuming process.
Administration
Strength: Oasys aims to be an accessible tool that increases the detection of diseases to a wider range of the population. It makes documentation of people's mental health easier, which can help make policies for the correct target groups.
Weakness: For the government to use Oasys on a large scale, we will have to reduce the cost of the tool and increase the accuracy of the quantifiers.
Opportunity: Oasys can help reduce social stigma around mental health by opening up conversations. It will improve the social standards around mental health in the general public.
Threat: The ethics and privacy of the patients need to be taken into consideration.
Social Workers
Strength: Oasys will help give major depressive disorder a more objective outlook as a disease. It would help in spreading awareness about mental health disorders.
Weakness: Only authorized professionals will be allowed to use the tool, and only they will have access to the data.
Opportunity: It can help in early intervention by social workers (Anganwadi and Aasha workers) for groups that need help.
Threat: People might have data privacy concerns.
General Public
Strength: Oasys aims to be a POCT (Point of Care testing) tool that is accessible to all groups of the population.
Weakness: The cost and storage of the tool need to be improved to make it accessible in small towns.
Opportunity: Faster and more objective results will improve the patients' diagnosis experience. Oasys will also help make better policies related to mental health in institutions and workplaces, which will help build a positive environment for the patients.
Threat: People viewing it as a conclusive treatment and not undergoing proper counselling/ therapy after diagnosis can lead to increased stigma.
Conclusion
We realise that our lack of experience and expertise as students might have resulted in us missing out on important impacts of our tool. Interacting and working with our stakeholders helped us look through many different applications of our tool that we might have overlooked. Each step in the project resulted from an extensive literature review and numerous conversations among ourselves, experts, and stakeholders. Our different interactions helped us discover the several layers and complexities associated with the problem we are trying to solve. In the future phases, we aim to reach out to even more stakeholders and work with the low-power groups of stakeholders, too. We acknowledge that our innovation's true impact lies in its technological prowess and compassionate and ethical integration into the broader fabric of healthcare and society. Together, we can create a future where mental health is understood, deeply valued, and supported by science and humanity.
To follow our journey through Human Practices refer to Integrated Human Practices page.