MAC-PMSS 17+

McMaster University

Designed for iPhone

    • 5.0 • 1 Rating
    • Free

iPhone Screenshots

Description

The McMaster Premenstrual and Mood Symptom Scale (MAC‑PMSS) was developed using feedback from people who suffered from premenstrual and mood problems, as well as from international experts in the area of women’s mental health, to fill a major clinical gap: The absence of validated tools to assess and accurately diagnose individuals with concurrent mood and premenstrual issues. While the vast majority of the symptom tracking tools out there were never tested or validate through clinical research, the MAC-PMSS has been tested and validated as has been proven to be user-friendly and useful in the accurate diagnosis and assessment of people with premenstrual and mood disorders. The results of its field test can be found here: https://bmcwomenshealth.biomedcentral.com/track/pdf/10.1186/s12905-022-01678-1.pdf

With the MAC-PMSS app, individuals can track their mood and premenstrual symptoms on a daily basis. The daily symptom tracking, along with information about the menstrual cycle, sleep patterns and possible stressful life events may be shared with your health professional with a simple click of a button!

The MAC-PMSS application is not a substitute for physician’s advice. Consult a Physician for any medical issues that arise.

From a privacy and safety perspective, this app does not collect any personal identifier, or any personal smartphone use information.

If you have any comments or suggestions for app improvements, please feel free to send your comments to macpmss@gmail.com

Ratings and Reviews

5.0 out of 5
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1 Rating

App Privacy

The developer, McMaster University, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Health & Fitness
  • Identifiers
  • Sensitive Info

Privacy practices may vary, for example, based on the features you use or your age. Learn More

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