Correlation between Indonesian Version of Montreal Cognitive Assessment Score and Hospital Anxiety and Depression Scale Scores for Post-Stroke Patients

Abstract

Background: Cerebrovascular disease, with its complex anatomy, and various parts of the brain can cause neurological deficits. The Oxfordshire Community Stroke Project classification distinguishes a posterior circulation infarct (PCI) from an Anterior Circulation Infarction (ACI) by using radiological examination. Anxiety after stroke occurs in about 24% of patients and it is a problem with quality of life associated with poor health. In Post Stroke Anxiety (PSA), there are still few studies on prevention, risk factors and therapeutic interventions. More than 40% of stroke sufferers have cognitive impairment or post stroke cognitive impairment (PSCI). 
 Objectives: To determine the correlation between Indonesian Version of Montreal Cognitive Assessment Score (MoCA-INA) and the Hospital Anxiety and Depression Scale Scores (HADS-A) for post-stroke patients in neurological road care installation in University of Sumatera Utara Hospital. 
 Methods: This is a numerical correlation study with a cross-sectional approach.. The sampling method is non-probability sampling with consecutive sampling type. The research subjects were then examined for the total MOCAINA score. Then, the research subjects are examined for HADS-A. After all the results of the examination, the questionnaire and the subject's personal data are completely filled in, the questionnaire is collected. The analysis uses the Spearman correlation test 
 Results: The results of the analysis using the Spearman correlation test for the correlation between MoCA-INA total score and HADS-A total score, the value of r is -0.602 with p value <0.001 (the correlation is very significant with negative correlation direction and the strength of the correlation is strong). 
 Conclusions and Suggestions: With the influence of MoCa-INA score on the HADS-A score in post-stroke patients, it can provide an input for health workers to immediately detect and anticipate events of cognitive decline and anxiety in post-stroke patients.