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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

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Methods to identify the target population: implications for prescribing quality indicators.

Liana Martirosyan¹, Onyebuchi A Arah, Flora M Haaijer-Ruskamp

¹Department of Clinical Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands. lmartirossyan@yahoo.com

BMC Health Services Research

|May 28, 2010

Summary

Clinical measurements are recommended over diagnostic codes for accurately assessing prescribing quality and identifying undertreated patients, especially in hypertension management. This ensures more reliable quality assessments and better patient identification.

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Area of Science:

Health Services Research
Clinical Informatics
Pharmacoeconomics

Background:

Prescribing quality information is crucial for healthcare policy and practice.
Accurate patient identification is essential for reliable prescribing quality assessment.
Diagnostic codes and clinical measurements are commonly used methods for patient identification.

Purpose of the Study:

To compare diagnostic codes versus clinical measurements for identifying eligible patients in prescribing quality assessments.
To evaluate the impact of these identification methods on prescribing quality scores and patient proportions.
To determine the most reliable approach for identifying treated and undertreated patients.

Main Methods:

Electronic health records of 3214 diabetes patients were analyzed.
Three prescribing quality indicators (PQI) for hypertension and overweight conditions were selected.
Patient identification was based on diagnostic codes, clinical measurements, or both.

Main Results:

The diagnostic code approach overestimated antihypertensive treatment rates compared to the measurement-based approach (93% vs. 81%).
Clinical measurements identified higher proportions of both adequately treated and undertreated patients across all PQI.
PQI scores for overweight and other conditions were similar between approaches (64-66%).

Conclusions:

Clinical measurements are recommended for identifying undertreated patients using PQI.
Diagnostic codes can overestimate treatment provision when diagnoses are better recorded for treated patients.
The choice of identification method significantly impacts the assessment of prescribing quality, particularly for undertreated populations.