Comparison of Cognitive Function Examination Using Montreal Cognitive Assessment (MOCA-INA) with Telephone Moca (T-MOCA)

Ira Ristinawati, Azmi Farah Fairuzya

Abstract

Introduction: The prevalence of dementia tends to increase over time. MOCA assessment tool is a cognitive function screening test that has high sensitivity. Telephone-based MOCA assessment has potential of detection and monitoring dementia which can be widely applied.

Methods: This is an observational study with cross-sectional approach in the Neurology Outpatient Department RSUD Dr. Moewardi. The aim of this study is to compare the effectiveness of MOCA-INA assessment tool with the T-MOCA.

Results: There were 424 patients who underwent MOCA-INA examination during January-June 2022. After screening, 185 patients were able to complete the study. Subjects consisted of 67 males (36.2%) and 118 females (63.8%); aged 65-74 years (44.9%), 75-84 years (25.9%), and 85 years (29.2%). It was found that the conformity diagnosis of MOCA-INA to T-MOCA was 82.3% in the conversion test. There were significant differences between normal patients and MCI patients in age (p=0.000), education level (p=0.000), MOCA-INA score (p=0.000), and T-MOCA score (p=0.000). The relationship between MOCA-INA and T-MOCA has a strong positive correlation (p = 0.000; r = 0.789). Subsequent correlation test between MOCA-INA and T-MoCA showed a strong significant relationship in the direction of gender (p = 0.000; r = 0.438) and education level (p = 0.000; r = -0.323)

Conclusion: Both MOCA-INA and T-MOCA could significantly determine the level of cognitive function with a strong correlation between the two assessments.

Keywords

Cognitive Function; MOCA; Telephone-MOCA

Full Text:

PDF

References

  1. Martinez VG, Salas AA, Ballestin SS. Vitamin supplementation and dementia: a systematic review. Nutrients. 2022. 1033: 1-23.
  2. Pendlebury ST, Welch SJ, Cuthbertson FC et al. Telephone assessment of cognition after transient ischemic attack and stroke: Modified Telephone Interview of Cognitive Status and telephone Montreal Cognitive Assess- ment versus face-to-face Montreal Cognitive Assessment and neuropsycho- logical battery. Stroke 2013;44:227–229.
  3. Martin Prince A, Wimo A, Guerchet M. World Alzheimer report 2015 the global impact of dementia an analysis of prevalence, incidence, cost and trends. 2015.
  4. BAPPENAS. Proyeksi Penduduk Indonesia 2010-2035. Jakarta: Badan Pusat Statistik Republik Indonesia. 2013.
  5. Katz MJ, Wang C, Nester CO, Derby CA, Zimmerman ME, Lipton RB, Sliwinski MJ, Rabin LA. T-MOCA: a valid phone screen for cognitive impairment in diverse community samples. Alzheimer’s Dement. 2021;13:e12144.
  6. Nasreddine ZS, Phillips NA, Bedirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 2005;53:695–9.
  7. Li, Xueyan MS, Dai, Jie MS; Zhao, Shasha MS; Liu, Wangen MS; Li, Haimei BS. Comparison of the value of Mini-Cog and MMSE screening in the rapid identification of Chinese outpatients with mild cognitive impairment. Medicine. 2018. 97 (22): p e10966.
  8. Saczynski JS, Inouye SK, Guess J, Jones, et al. The Montreal Cognitive Assessment: Creating a Crosswalk with the Mini-Mental State Examination. Journal of the American Geriatrics Society 2015; 63(11), 2370–2374.
  9. Husein N, Lumempouw S, Ramli Y, Herqutanto. Montreal Cognitive Assessment versi Indonesia (MoCA-Ina) untuk skrining gangguan fungsi kognitif. Neurona; 2010. 27(4). Available from: http://www.neurona.web.id/paper-detail.do?id=734.
  10. Calista C, Gamayani U, Anam A, Fiaza PI, Rizal A, Wibisono Y, Amalia L, Panigoro R. Cognitive impairment detection in adult thalassemia patient using moca- ina. Malang Neurology Journal 2021; 7:24-29.
  11. Freitas S, Simões MR, Alves L, Santana I. Montreal cognitive assessment: Influence of sociodemographic and health variables. Archives of Clinical Neuropsychology. 2012; 27(2):165–75.
  12. Kang JM, Cho YS, Park S, Lee BH, Sohn BK, Choi CH, et al. Montreal cognitive assessment reflects cognitive reserve. BMC Geriatrics. 2018 Oct 30;18(1).
  13. Dale W, Kotwal AA, Shega JW, Philip Schumm L, Kern DW, Pinto JM, et al. Cognitive Function and its Risk Factors Among Older US Adults Living at Home [Internet]. 2018. Available from: www.alzheimerjournal.com.
  14. Jak AJ, Bondi MW, Delano-Wood L, Wierenga C, Corey-Bloom J, Salmon DP, et al. Quantification of five neuropsychological approaches to defining mild cognitive impairment. American Journal of Geriatric Psychiatry. 2009;17(5):368–75.
  15. Malek-Ahmadi M, Powell JJ, Belden CM, Oconnor K, Evans L, Coon DW, et al. Age-and education-adjusted normative data for the Montreal Cognitive Assessment (MoCA) in older adults age 70-99. Aging, Neuropsychology, and Cognition. 2015. 2;22(6):755–61.

DOI: https://doi.org/10.13057/smj.v5i3.66435

Refbacks

  • There are currently no refbacks.