Persistent Depressive Disorder Technology & Digital Applications 4 — Questions and Answers
Question 1: A PDD patient discloses their depressive symptoms to a consumer wellness app. Under HIPAA, how is this information protected?
- It receives the same protection as data held by a licensed clinician
- Consumer wellness apps are generally not HIPAA-covered entities (Correct answer)
- All health apps are regulated under HIPAA as of 2020
- The protection depends on whether the user paid for the app
Correct answer: Consumer wellness apps are generally not HIPAA-covered entities
Most consumer wellness apps are not HIPAA-covered entities, meaning the data users share may not have the same legal protections as clinical health records.
Question 2: A therapist conducting video sessions with a PDD patient notices the patient always sits in a darkened room. What should the therapist address?
- The patient's internet connection quality
- The potential environmental reinforcement of depressive withdrawal and low arousal (Correct answer)
- The camera angle affecting therapeutic rapport
- Whether the patient prefers phone calls instead
Correct answer: The potential environmental reinforcement of depressive withdrawal and low arousal
A consistently darkened environment may reinforce the low arousal and withdrawal behavior associated with PDD, warranting clinical discussion.
Question 3: Which is an example of 'passive sensing' technology being used to study PDD symptom fluctuation?
- A patient fills out a daily mood questionnaire on their phone
- Accelerometer data from a wristband tracks activity and rest patterns automatically (Correct answer)
- A therapist reviews session notes after each appointment
- An app sends alerts reminding the patient to take medication
Correct answer: Accelerometer data from a wristband tracks activity and rest patterns automatically
Passive sensing involves automatic, unobtrusive data collection like accelerometry, requiring no active patient input to capture behavioral patterns.
Question 4: A person with PDD joins an online peer support community for depression. What is the greatest potential risk of this digital resource?
- Access to too much evidence-based information
- Exposure to content that normalizes hopelessness or harmful coping (Correct answer)
- The community may recommend exercise as a treatment
- Other members may encourage professional help too aggressively
Correct answer: Exposure to content that normalizes hopelessness or harmful coping
Unmoderated peer communities risk exposing vulnerable individuals to content that normalizes hopelessness, negative coping, or even self-harm behaviors.
Question 5: A neurofeedback application claims to treat PDD by training users to regulate their brainwaves. What should a clinician tell a patient asking about this?
- Neurofeedback has strong FDA approval for PDD and should be used first-line
- The evidence base for neurofeedback in PDD is limited and it should not replace established treatments (Correct answer)
- Neurofeedback is dangerous and should never be attempted
- This is only appropriate for patients who have failed three prior medications
Correct answer: The evidence base for neurofeedback in PDD is limited and it should not replace established treatments
The evidence base for neurofeedback as a PDD treatment is limited, and it should not replace established evidence-based treatments like CBT or pharmacotherapy.
Question 6: Which design feature in a mental health app is most likely to help a person with PDD maintain consistent use over time?
- Complex multi-step entry forms that capture detailed symptom data
- Short, low-effort interactions paired with positive reinforcement (Correct answer)
- Requiring users to complete a full module before saving progress
- Daily notifications that describe the consequences of skipping the app
Correct answer: Short, low-effort interactions paired with positive reinforcement
Short, low-effort interactions reduce the barrier to engagement for individuals with PDD, whose low energy and motivation make lengthy tasks aversive.
Question 7: A researcher wants to measure PDD severity using speech analysis software during telehealth calls. Which acoustic feature is most associated with depressive episodes?
- Increased speech rate and loudness
- Reduced prosody, slower speech, and longer pauses (Correct answer)
- Higher fundamental frequency in vowels
- More frequent interruptions during conversation
Correct answer: Reduced prosody, slower speech, and longer pauses
Depression is associated with psychomotor slowing reflected in reduced speech prosody, slower rate, and longer pauses detectable through acoustic analysis.
Persistent Depressive Disorder Technology & Digital Applications 4
A PDD patient discloses their depressive symptoms to a consumer wellness app.
Under HIPAA, how is this information protected?