Enhancing Mental Well-Being: Utilizing e-Mental Health Apps to Assist Bill, a Retired Mechanic

QUESTION

Case study

Bill, a 59-year-old retired mechanic, visits his family physician for an annual checkup. He says he has noticed some changes in his appetite and sleep patterns since retiring almost a year ago. He also mentions that he feels little purpose in his day-to-day life and sometimes lacks the motivation to leave his house or make plans with others. Since Bill is in good overall physical health, the physician talks with him about his general mental well-being and mood. Together, they discuss options for helping him manage his low mood, increase his activity levels, and find relief for his mild depressive symptoms. The physician recommends that Bill create a log of his mood and sleep patterns daily and schedule time for hobbies or other activities he enjoys. He also says there are a number of mobile mood-tracking apps he could download to his phone. Bill initially shrugs at the idea of a mood diary but says, if he were to keep one, he’d prefer to use an app over having to write things down. The physician offers to review the diary logs at their next appointment to see if things are improving or if other supports are needed. Bill tells him he’ll give it a try.

• Are e-mental health apps an appropriate option for someone like Bill?

• What are some reasons Bill might initially hesitate to use an app to monitor his mood?

• What assumptions do clinicians sometimes make about patients when recommending e-mental health apps? (e.g., that everyone has access to a smartphone).

• What probing questions will you use for upcoming session and why?

Assist Bill using Problem Solving Model

• Step 1: Identify and define the problem. State the problem as clearly as possible

• Step 2: Generate possible solutions

• Step 3: Evaluate alternatives

• Step 4: Decide on a solution

• Step 5: Implement the solution

• Step 6: Evaluate the outcome

ANSWER

 Enhancing Mental Well-Being: Utilizing e-Mental Health Apps to Assist Bill, a Retired Mechanic

Introduction

This case study follows Bill, a 59-year-old retired mechanic, who experiences changes in his appetite, sleep patterns, and a lack of purpose in his life after retiring. Bill visits his family physician for an annual checkup, where they discuss options to manage his low mood and mild depressive symptoms. The physician recommends using mobile mood-tracking apps to monitor his mood and activity levels. However, Bill initially hesitates to use an app, preferring an alternative solution. This essay explores the appropriateness of e-mental health apps for Bill, the reasons for his hesitation, and the assumptions clinicians might make when recommending such apps. Finally, we will employ the Problem Solving Model to assist Bill in addressing his concerns effectively.

Are e-mental health apps an appropriate option for someone like Bill?

Yes, e-mental health apps can be an appropriate option for someone like Bill. As a retired individual experiencing mild depressive symptoms and a lack of motivation, monitoring his mood and activity levels through mobile apps can provide valuable insights into his emotional well-being and potential patterns. Such apps can help Bill keep track of his emotions, sleep patterns, and daily activities, enabling him to identify triggers and fluctuations in his mood. Furthermore, the convenience of these apps can fit well into Bill’s daily routine, making it easier for him to engage with the intervention and gather accurate data for his physician to review.

What are some reasons Bill might initially hesitate to use an app to monitor his mood?

Bill’s hesitation towards using a mood-tracking app could be attributed to various reasons:

Technological unfamiliarity: Being a retiree, Bill may not be as comfortable using smartphone applications, which could lead to a reluctance to adopt a new technology.

Privacy concerns: Bill might worry about the security and privacy of his personal information, especially when sharing sensitive data about his mental well-being on an app.

Lack of motivation: Bill’s current low mood and lack of purpose may hinder his motivation to engage with a new intervention, such as consistently using a mood-tracking app.

Skepticism about effectiveness: Bill may doubt the effectiveness of an app’s impact on his mental well-being, questioning whether it can truly help him improve his mood and motivation.

What assumptions do clinicians sometimes make about patients when recommending e-mental health apps?

Clinicians might make the following assumptions when recommending e-mental health apps

Universal smartphone access: Assuming that all patients, including elderly individuals like Bill, have access to and are comfortable using smartphones, may overlook potential barriers to app adoption.

Tech literacy: Assuming patients possess adequate technological literacy to navigate and effectively use the apps without requiring additional support or guidance.

Preference for digital solutions: Clinicians may overlook the possibility that some patients might prefer non-digital or traditional methods of mood tracking and intervention.

App effectiveness for all individuals: Assuming that e-mental health apps have a one-size-fits-all solution for mental health concerns, neglecting individual differences and preferences.

Probing questions for the upcoming session and why

To effectively assist Bill in overcoming his hesitation and implement a suitable solution, probing questions are crucial during the upcoming session:

How comfortable are you with using smartphone applications, Bill? (To understand his technological familiarity and potential barriers)

Are you concerned about the privacy and security of using an app to track your mood? (To address any privacy-related concerns)

Can you tell me more about the activities you used to enjoy before retirement? (To identify hobbies and interests that could be reintegrated into his daily life)

What specific concerns do you have about using a mood-tracking app, and how do you envision it helping you? (To address his skepticism and highlight potential benefits)

Would you be open to exploring other non-digital methods of mood tracking if the app does not feel suitable to you? (To respect his preferences and explore alternative solutions)

Problem Solving Model Application

Step 1: Identify and define the problem – Bill’s reluctance to use a mood-tracking app to manage his low mood and lack of motivation after retirement.

Step 2: Generate possible solutions – Explore alternatives to the app, such as paper-based mood diaries or engaging in physical activities with a support group.

Step 3: Evaluate alternatives – Discuss the benefits and drawbacks of each solution with Bill, considering factors like convenience, effectiveness, and personal preferences.

Step 4: Decide on a solution – Based on Bill’s input and preferences, select the most suitable method for mood tracking and intervention.

Step 5: Implement the solution – Assist Bill in adopting the chosen approach, providing any necessary guidance or resources.

Step 6: Evaluate the outcome – Regularly review Bill’s progress and evaluate the effectiveness of the chosen method. Adjust the approach if needed to improve outcomes.

Conclusion

In conclusion, e-mental health apps can be an appropriate option to assist individuals like Bill in managing their mental well-being. However, reluctance towards using such apps can stem from various reasons, including technological unfamiliarity, privacy concerns, and doubts about their effectiveness. Clinicians must avoid making assumptions about patients’ access to technology and preferences when recommending e-mental health apps. Applying the Problem Solving Model during the upcoming session can help Bill overcome his hesitations and find a suitable solution to enhance his mental well-being, leading to a more fulfilling retired life.