Did you know that we have built common questionnaires used in assessments to support your NDIS application and reviews into the app?

  • You can export them as PDFs and give them to your treating health professionals in your care team.
  • You can also keep it as a record to check back in on yourself if you are making lifestyle changes (e.g. better sleep hygiene, healthier diet, cutting alcohol or sugar) to see how they might be affecting your symptoms.

Each of the check-ins below has a short description so you know why you should take it and how it is usually used.

If you haven’t already, read our YOPX QUICK GUIDE.

Why use these questionnaires?

  • They’re recognised tools for measuring function and quality of life.
  • They help you and your clinicians see patterns over time.
  • They support NDIS applications by providing structured evidence for reviews and applications.

What’s currently included in the App?

WHODAS (World Health Organization Disability Assessment Schedule)

  • Purpose: Measures disability across six domains—cognition, mobility, self-care, getting along, life activities, and participation in a snapshot over the past 30 days.
  • Why it matters:WHODAS is widely used in NDIS functional capacity assessments because it provides a holistic view of how health impacts daily life.

PDQ-39 (Parkinson’s Disease Questionnaire)

  • Purpose: Assesses health-related quality of life in Parkinson’s across eight dimensions, including mobility, emotional well-being, stigma, and social support in a 39 question snapshot over the past 30 days.
  • Why it matters: PDQ-39 helps track how symptoms affect your overall life satisfaction and independence.

QUIP-RS (Questionnaire for Impulsive-Compulsive Disorders in Parkinson’s)

  • Purpose: Screens for impulse control disorders (ICDs) such as compulsive shopping, gambling, or eating, which can occur with Parkinson’s medications.
  • Why it matters: Early detection protects your financial and emotional wellbeing and informs medication adjustments.

Sleep Check-In

  • Purpose: Tracks sleep quality and patterns.
  • Why it matters: Sleep disturbances are common in Parkinson’s and can worsen fatigue and mood. Monitoring sleep with your care team helps guide lifestyle changes and treatment.

Employment Experiences Checklist

  • Purpose: Captures your work status, challenges, and adjustments.
  • Why it matters: Supports NDIS planning and workplace accommodations, and helps you reflect on changes over time.

Relationships, Sex, and Intimacy Checklist

  • Purpose: Explores how Parkinson’s affects relationships and intimacy.
  • Why it matters: These areas are often overlooked but are key to quality of life. Sharing this with your care team can lead to better support for you and your care partner.

Fatigue Severity Scale

  • Purpose: Rates the impact of fatigue on daily functioning with a 9-item scale.
  • Why it matters: Fatigue is one of the most disabling non-motor symptoms. Tracking severity helps tailor energy management strategies.

How to use these tools

  1. Complete the questionnaires in the app every month in the “MY NDIS INFO” indigo tile under “Check-ins & questionnaires”.
  2. Export as a PDF—date-stamped for easy comparison.
  3. Share with your care team (e.g. neurologist, GP, or allied health professionals).
  4. Retake after any major lifestyle changes (e.g. better sleep hygiene, healthier diet, reducing alcohol or sugar) to see what’s working.
  5. To clear or edit a questionnaire to retake it, just hit ‘clear’ or ‘edit answers’ button.

Privacy First: Your answers are stored only on your device. Nothing is uploaded or shared unless you choose to export and send the PDF.

TIPS

Use digital health tools where they help: Consider a simple symptom tracking sheet, e‑scripts and My Health Record; digital health systems and wearables are feasible for monitoring mobility and sleep adherence and can complement your scales.
Explore YOPX’s Technology & Digital Health resources to start safely.

Sources & further reading:

Quality of life

Jenkinson, C., Fitzpatrick, R., Peto, V., Greenhall, R., & Hyman, N. (1997). The Parkinson’s Disease Questionnaire (PDQ-39): development and validation of a Parkinson’s disease summary index score. Age and Ageing, 26(5), 353–357.

World Health Organization (2010). Measuring health and disability: Manual for WHO Disability Assessment Schedule (WHODAS 2.0). Geneva, Switzerland: World Health Organization.

Depression
Beck, A. T., Steer, R. A., & Brown, G. K. (1996). Manual for the Beck Depression Inventory‑II. Psychological Corporation.
Hamilton, M. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery & Psychiatry, 23(1), 56–62. https://doi.org/10.1136/jnnp.23.1.56

Anxiety
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: The GAD‑7. Archives of Internal Medicine, 166(10), 1092–1097. https://doi.org/10.1001/archinte.166.10.1092

Cognition
Nasreddine, Z. S., et al. (2005). The Montreal Cognitive Assessment (MoCA): A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x

Sleep
Trenkwalder, C., et al. (2011). Parkinson’s Disease Sleep Scale—Version 2 (PDSS‑2): Validation of a revised instrument. Movement Disorders, 26(4), 644–652. https://doi.org/10.1002/mds.23476

Fatigue
Brown, R. G., Dittner, A., Findley, L., & Wessely, S. C. (2005). The Parkinson Fatigue Scale (PFS‑16): Development and validation of a self‑report measure of fatigue. Parkinsonism & Related Disorders, 11(1), 49–55. https://doi.org/10.1016/j.parkreldis.2004.12.001

Key efficacy evidence
Alnajjar, A. Z., et al. (2024). Efficacy of cognitive behavioral therapy for anxiety and depression in Parkinson’s disease: Updated meta‑analysis. Neurological Sciences, 45, 5277–5290. https://doi.org/10.1007/s10072-024-07659-6

Yu, X., et al. (2025). CBT for anxiety and depression in Parkinson’s: Systematic review and meta‑analysis. Frontiers in Aging Neuroscience, 17, 1440850. https://doi.org/10.3389/fnagi.2025.1440850

Moratelli, J. A., et al. (2024). Physical activity interventions and non‑motor symptoms: Umbrella review. Sport Sciences for Health, 20, 321–336. https://doi.org/10.1007/s11332-024-01197-6

Ren, H., et al. (2025). Aerobic exercise and depressive symptoms in Parkinson’s: Meta‑analysis. Brain Sciences, 15(8), 792. https://doi.org/10.3390/brainsci15080792

Debelle, H., et al. (2023). Digital health tech to monitor mobility and medication adherence in PD: Feasibility and usability. Frontiers in Neurology, 14, 1111260. https://doi.org/10.3389/fneur.2023.1111260

Albulescu, P., et al. (2022). Micro‑breaks meta‑analysis. PLOS ONE, 17(8), e0272460. https://doi.org/10.1371/journal.pone.0272460

Radwan, A., et al. (2022). Active micro‑breaks systematic review. Cogent Engineering, 9(1), 2026206. https://doi.org/10.1080/23311916.2022.2026206

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