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[DOES SCREENING FOR DEPRESSION AS A QUALITY MEASUREMENT IMPACT DIAGNOSIS RATE OF DEPRESSION IN PATIENTS UNDERGOING
Doron Merims1, Irina Seleznev1, Giora Ben Ari2
1Shoham Geriatric Medical Center, Pardes Hanna, Israel.
Harefuah
|March 24, 2021
Summary
Implementing depression screening for elderly stroke patients did not increase diagnosis rates. The PHQ-2 questionnaire showed no significant change in identifying post-stroke depression in geriatric rehabilitation settings.
Area of Science:
- Geriatric Medicine
- Neurology
- Psychiatry
Background:
- Post-stroke depression is a significant concern in elderly rehabilitation.
- The Israeli National Program for Quality Measures aimed to improve diagnosis and treatment.
- Cultural differences in depression presentation necessitated separate analysis for Jewish and Arab populations.
Purpose of the Study:
- To evaluate the impact of implementing a depression screening quality measure on diagnosis rates.
- To assess the effectiveness of the PHQ-2 questionnaire in identifying post-stroke depression.
- To analyze changes in depression diagnosis rates among elderly stroke patients before and after the quality measure implementation.
Main Methods:
- Retrospective analysis of 879 elderly stroke patients' medical records (2015-2019).
- Implementation of a depression screening quality measure in 2016 using the PHQ-2 questionnaire.
- Comparison of depression diagnosis rates pre- and post-measure implementation, with separate analysis for ethnic groups.
Main Results:
- No statistically significant difference in post-stroke depression diagnosis rates was observed after the quality measure was introduced.
- The PHQ-2 questionnaire results correlated with clinical depression diagnoses.
- Screening did not alter the diagnosis rate in either the Jewish or Arab elderly populations.
Conclusions:
- Depression screening via PHQ-2 did not enhance the diagnosis rate of post-stroke depression in geriatric rehabilitation units.
- The implemented quality measure provided no added diagnostic value.
- The study highlights the need to assess the added value of quality measures to optimize resource allocation and prevent staff burnout.

