How Summ Pattern works
Most women in perimenopause spend months, sometimes years, not knowing what is happening. Summ Pattern gives you a framework to understand your symptoms before you walk into a GP appointment.
What Summ Pattern looks at
Your answers are scored across three dimensions. Each one is grounded in published clinical evidence.
Perimenopause
Vasomotor symptoms, cycle changes, sleep disruption, and psychological symptoms scored against STRAW+10 staging and the Menopause Rating Scale. Your result places you in an early transition, vasomotor, or psychological pattern.
Burnout amplifier
Chronic stress and occupational burnout amplify perimenopause symptoms. Your burnout score identifies whether work stress is compounding your pattern. High burnout does not replace your perimenopause result, it intensifies it.
Nutritional
Vitamin D deficiency, magnesium status, and B vitamin intake all affect perimenopause symptom burden. Your nutritional score identifies gaps that may be driving specific symptoms.
How your result is calculated
Summ Pattern uses a rules-based classifier, not a trained machine learning model. Your answers are scored against published thresholds from clinical trial data and cohort research. The result is a pattern, not a diagnosis.
Each dimension is scored independently. Your primary pattern (vasomotor, psychological, or early transition) reflects the dimension with the strongest signal. The burnout score is shown as an amplifier, not a separate result.
Summ Pattern is not a diagnostic tool. Results are based on self-reported symptoms and published clinical frameworks. A result should always be discussed with a qualified clinician.
What the tracker measures
After checking your pattern, daily tracking refines it over time. Each day you log which symptoms were present and your energy level. Over time, Summ identifies your worst days, your best days, and what shifts between them.
Symptom frequency
Which symptoms appear most often and on which days. Identifies your primary drivers across the perimenopause, burnout, and nutritional dimensions.
Energy and sleep
Daily energy level tracked on a simple 1 to 5 scale. Combined with symptom data to identify whether poor sleep is a consistent driver of your worst days.
Weekly pattern
After 7 days of tracking, Summ identifies which days tend to be hardest and which tend to be easiest. Shown in plain language, not scores.
Why we do not use AI
Summ Pattern is a rules-based classifier grounded in published clinical frameworks. We do not describe it as AI because it is not a trained model. The evidence base is transparent: NICE NG23, STRAW+10, and cohort data from the SWAN study. You can read every framework we use.
References
Heinemann LAJ et al. The Menopause Rating Scale (MRS): A methodological review. Health and Quality of Life Outcomes. 2004;2:45.
Weber MT et al. Cognition and mood in perimenopause: a systematic review and meta-analysis. Journal of Steroid Biochemistry and Molecular Biology. 2014;142:90-98.
Harlow SD et al. Executive summary of the Stages of Reproductive Aging Workshop +10. Menopause. 2012;19(4):387-395.
Fawcett Society. Menopause and the Workplace. 2022.
Abbasi B et al. The effect of magnesium supplementation on primary insomnia in elderly: a double-blind placebo-controlled clinical trial. Journal of Research in Medical Sciences. 2012;17(12):1161-1169.
Gao Q et al. The association between vitamin D deficiency and sleep disorders: a systematic review and meta-analysis. Nutrients. 2018;10(10):1395.
Stonehouse W et al. DHA supplementation improved both memory and reaction time in healthy young adults. American Journal of Clinical Nutrition. 2013;97(5):1134-1143.
Shiffman S et al. Ecological momentary assessment. Annual Review of Clinical Psychology. 2008;4:1-32.
Woods NF, Mitchell ES. Symptoms during the perimenopause: prevalence, severity, trajectory, and significance in women's lives. Am J Med. 2005;118(suppl 12B):14-24.
Thurston RC et al. Psychosocial factors and hot flashes. Menopause. 2008;15(5):841-847.
NICE NG23 Menopause: identification and management. 2024.
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