Related Experiment Video
Updated: Jul 2, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Identifying patients at risk for medication mismanagement: using cognitive screens to predict a patient's accuracy in
Kitty Anderson1, Sandra G Jue, Karl J Madaras-Kelly
1PharMerica, Spokane, WA, USA.
Objective:
To study the relationship between four cognitive screens (Mini-Mental State Examination [MMSE], Mini-Cog, Medication Transfer Screen [MTS], and Medi-Cog [Mini-Cog + MTS]) and pillbox concordance.
Design:
Prospective cross-sectional pilot study.
Setting:
Primary care federal health care system.
Participants:
English literate inpatients not previously diagnosed or treated for dementia and without physical handicap preventing use of a pillbox.
Main Outcome Measure:
Correlation between cognitive screens and prospective pill-count scores (PPCS).
Interventions:
Mini-Cog, MTS, and MMSE screening was followed by a 28-compartment pillbox skills assessment. A passing PPCS was defined as correctly loading 80% of the medications in the pillbox. A PPCS of <80% identified patients for pillbox-organization education or supportive intervention. Variables associated with total and passing PPCS were analyzed by multivariate linear and logistic regression, respectively.
Results:
Fifty-three patients discharged on >1 medication completed all screenings. Other than cognitive screening, only age was associated with total and passing PPCS. After adjustment for age, Medi-Cog had the highest correlation with total PPCS [r2=0.53; P<0.001), whereas Mini-Cog was the single cognitive assessment that remained significantly associated with a passing PPCS (r2=0.23; P=0.023). Age-adjusted models, including MMSE, had relatively poor association with total PPCS (r2=0.23; P=0.046) and no association with passing PPCS (r2=0.15; P=0.46). The Medi-Cog exhibited modest highest overall sensitivity (72%) and specificity (61%) to detect a passing PPCS.
Conclusion:
MMSE is a relatively poor measure of the ability of patients to fill a pillbox. The Medi-Cog and Mini-Cog may have value for assessing pillbox concordance for patients who load their own pillboxes.
More Related Videos
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
07:31A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
Published on: February 13, 2020
Related Concept Videos
Drug Dosing: Geriatric Patients
Pharmaceutical Poisoning: Potential Scenarios
Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists
Drug Therapy
Antianxiety Medications
Blind Procedures
Errors occurring during blood pressure monitoring
Several factors...