ALz test is an app that detects signs of cognitive impairment as good as the Mini-Cog in 92% of all tests according to our ongoing face-to-face research. The app does not provide diagnosis, prevention, or treatment. The app tests for signs of cognitive impairment and DOESN'T diagnose any particular disease. ALz test is not a substitute for a doctor’s visit. It may help to find out if you are at risk of developing Alzheimer’s disease. It is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Always seek advice of your doctor or a qualified healthcare professional regarding your medical condition. Never disregard professional medical advice or delay in seeking it when concerns arise about your health. If you would like to take a free rapid cognitive impairment test, please download it from AppStore or GooglePlay.
Our Mission: A phone app that detects early signs of Alzheimer’s disease.
Our Vision: A phone app for cognitive impairment testing and ongoing assessment.
Our Values: To help people take their first steps addressing memory changes.
DigitalEdge https://www.digitaledge.net generously helps us with technical support!
ClinicalSelfie is a team of enthusiastic professionals:
In our second research we compared the effectiveness of ALz test with the Mini-Cog*:
Objectives: To develop a digital test (ALz test) designed to detect signs of cognitive impairment as accurately as the Mini-Cog test.
Null Hypothesis: There is no statistically significant difference between passing/failing on the Mini-Cog test and ALz test scores.
Design: Case control study.
Setting: Testing was conducted at the participants’ home environment. Volunteers were assessed face-to-face using the Mini-Cog and ALz tests. Mini-Cog testing involved a three-word recall and clock drawing. ALz test consisted of fifteen multiple choice picture-questions.
Participants: Volunteers who wanted to be tested (n=61) for signs of cognitive impairment.
Measurements: Rejected a null hypothesis because of the statistically significant difference detected between the Mini-Cog and ALz test scores. Calculated statistical significance of every ALz test’s question related to the correct identification of cognitive impairment in comparison to Mini-Cog. Calculated the most effective scoring criteria of the ALz test responsible for a greatest precision in detection of cognitive impairment in comparison to the Mini-Cog test and the least amount of false negative results.
Limitations: Research participants (n=61) didn’t comprise two equally sized groups because 36 passed the Mini-Cog test and 25 failed.
Results: Two-tailed T-test rejected null hypothesis (p<0.0001) concluding that there is statistically significant difference between Mini-Cog pass/fail and ALz test scores. Confidence interval of 95% was detected for the ALz test score at and above 69%. Correct identification of cognitive impairment in comparison to the Mini-Cog was 92% with false positive results occurring in 28% of cases.
Conclusion: Digital cognitive testing using ALz test appears to be as effective as the face-to-face assessment with the Mini-Cog evidenced by only 8% error in correct identification of cognitive impairment in comparison to Mini-Cog. Ongoing research is necessary to validate these findings and re-evaluate the use of this method in a more extensive face-to-face assessment of two groups of participants with evenly-sized pass/fail Mini-Cog scores (n=100x2).
* Mini-Cog is a rapid test that is used around the world by healthcare professionals to detect signs of memory impairment. We are using it in the clinical trial from a generous permission of its creator, Dr Soo Borson.
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