Everyday Memory Intervention
EMMI
Enhancing Older Adults' Everyday Memory Function
2 other identifiers
interventional
68
1 country
1
Brief Summary
Evaluates an intervention designed to improve everyday memory function, contrasting people receiving the intervention with a group that receives traditional memory strategy training.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Mar 2021
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 11, 2019
CompletedFirst Posted
Study publicly available on registry
September 12, 2019
CompletedStudy Start
First participant enrolled
March 15, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 10, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
December 10, 2021
CompletedResults Posted
Study results publicly available
May 1, 2024
CompletedMay 1, 2024
April 1, 2024
9 months
September 11, 2019
December 8, 2022
April 3, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (10)
Everyday Memory Failures
Across the data collection period, participants audio recorded descriptions of their memory failures on a smartphone app. The audio recordings were transcribed and then cleaned and qualitatively coded so that the number of memory failures each participant reported during the data collection period could be counted. The data was qualitatively coded to ensure an accurate count of the number of memory failures per participant without counting duplicate events or accidental reports. Average daily number of reported memory failures from EMA \& daily diaries is reported.
minimum 8 day period after training on app prior to posttest
Prospective Memory Lab Contacts
Number of successfully completed lab contacts (maximum of 4)
Two weeks prior to posttest
Prospective Memory Lab Contact Efficiency
median absolute time deviation (in minutes) from scheduled lab contact for completed contacts
Two weeks prior to posttest
Everyday Cognition Simulation Task: ATM Task (Number of Errors)
Computerized task to simulate use of an ATM machine. Measure: number of errors
posttest only
Czaja Everyday Cognition Simulation Task: Prescription Refill Task (Number of Errors)
Computerized task to simulate use of an automated telephone program to refill prescriptions. Measure: Number of errors
posttest only
Free Recall Test
Computerized task to present 30 concrete nouns, 6 from 5 taxonomic categories (Hultsch, Hertzog, Dixon, \& Small, 1998) Measure is proportion of 30 words recalled
pretest and posttest (approximately 1 month lag)
Associative Recall Test
Computerized task to present 40 concrete-concrete associatively unrelated noun pairs (Hertzog, Sinclair, \& Dunlosky, 2010) Outcome is proportion of 40 words correctly recalled.
pretest and posttest (approximately 1 month lag)
Story Recall
gist recall of narrative story (total number of propositions (ideas) from story recalled)
posttest only
Everyday Cognition Simulation Task: ATM Task (Time in Seconds)
Computerized task to simulate use of an ATM machine. Measure: time to complete task (in seconds)
posttest only
Czaja Everyday Cognition Simulation Task: Prescription Refill Task (Time in Seconds)
Computerized task to simulate use of an automated telephone program to refill prescriptions. Measure: time to complete task (in seconds)
posttest only
Secondary Outcomes (5)
MFQ Memory Complaint (Frequency of Forgetting Scale)
pretest and posttest (approximately 1 month lag)
PBMI Specific Memory Self-Efficacy
pretest and posttest (approximately 1 month lag)
PBMI Memory Control
pretest and posttest (approximately 1 month lag)
MCQ Internal Scale
pretest and posttest (approximately 1 month lag)
MCQ External
pretest and posttest (approximately 1 month lag)
Study Arms (2)
Everyday Metacognitive Memory
EXPERIMENTALTraining in techniques for managing memory demands in everyday life
Memory Strategy Control
ACTIVE COMPARATORTrains the use of memory strategies for learning new associations and concepts
Interventions
Provides training in use of techniques and procedures to enhance proactive self-regulatory control over everyday memory demands, including strategies for learning information, planning for meeting everyday goals, and monitoring of efficacy of goal pursuit.
Trains use of standard mnemonic techniques such as imagery and sentence generation for learning new associations and organizational and distinctiveness-based strategies for learning sets of items (e.g., word lists).
Eligibility Criteria
You may qualify if:
- years of age
- in fair to good health
- free of major neurocognitive impairment
- English speaking
- endorsed Smartphone and computer users (or willing to learn)
You may not qualify if:
- diagnosis of any major neurological problems (e.g. stroke, Parkinson's disease, dementia)
- SD below age-normed mean (or lower) on the TICS
- low computer and smart phone literacy
- and poor self-rated health.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Georgia Institute of Technologylead
- National Institute on Aging (NIA)collaborator
Study Sites (1)
Adult Cognition Lab
Atlanta, Georgia, 30332, United States
Related Publications (14)
Bailey H, Dunlosky J, Hertzog C. Metacognitive training at home: does it improve older adults' learning? Gerontology. 2010;56(4):414-20. doi: 10.1159/000266030. Epub 2009 Dec 11.
PMID: 20016124BACKGROUNDBailey HR, Dunlosky J, Hertzog C. Does strategy training reduce age-related deficits in working memory? Gerontology. 2014;60(4):346-56. doi: 10.1159/000356699. Epub 2014 Feb 27.
PMID: 24577079BACKGROUNDBottiroli S, Cavallini E, Dunlosky J, Vecchi T, Hertzog C. The importance of training strategy adaptation: a learner-oriented approach for improving older adults' memory and transfer. J Exp Psychol Appl. 2013 Sep;19(3):205-18. doi: 10.1037/a0034078. Epub 2013 Aug 26.
PMID: 23978160BACKGROUNDBottiroli S, Cavallini E, Dunlosky J, Vecchi T, Hertzog C. Self-guided strategy-adaption training for older adults: Transfer effects to everyday tasks. Arch Gerontol Geriatr. 2017 Sep;72:91-98. doi: 10.1016/j.archger.2017.05.015. Epub 2017 Jun 7.
PMID: 28609674BACKGROUNDDunlosky J, Cavallini E, Roth H, McGuire CL, Vecchi T, Hertzog C. Do self-monitoring interventions improve older adult learning? J Gerontol B Psychol Sci Soc Sci. 2007 Jun;62 Spec No 1:70-6. doi: 10.1093/geronb/62.special_issue_1.70.
PMID: 17565167BACKGROUNDDunlosky J, Hertzog C. Measuring strategy production during associative learning: the relative utility of concurrent versus retrospective reports. Mem Cognit. 2001 Mar;29(2):247-53. doi: 10.3758/bf03194918.
PMID: 11352207BACKGROUNDDunlosky, J., Hertzog, C., Kennedy, M. R. T., & Thiede, K. W. (2005). The self-monitoring approach for effective learning. Cognitive Technology, 10, 4-11.
BACKGROUNDDunlosky J, Kubat-Silman AK, Hertzog C. Training monitoring skills improves older adults' self-paced associative learning. Psychol Aging. 2003 Jun;18(2):340-5. doi: 10.1037/0882-7974.18.2.340.
PMID: 12825781BACKGROUNDHertzog C, McGuire CL, Horhota M, Jopp D. Does believing in "use it or lose it" relate to self-rated memory control, strategy use, and recall? Int J Aging Hum Dev. 2010;70(1):61-87. doi: 10.2190/AG.70.1.c.
PMID: 20377166BACKGROUNDHertzog C, Sinclair SM, Dunlosky J. Age differences in the monitoring of learning: cross-sectional evidence of spared resolution across the adult life span. Dev Psychol. 2010 Jul;46(4):939-48. doi: 10.1037/a0019812.
PMID: 20604613BACKGROUNDHertzog C, Dunlosky J. Metacognition in Later Adulthood: Spared Monitoring Can Benefit Older Adults' Self-regulation. Curr Dir Psychol Sci. 2011 Jun;20(3):167-173. doi: 10.1177/0963721411409026.
PMID: 24478539BACKGROUNDHertzog C, Lineweaver TT, Hines JC. Computerized assessment of age differences in memory beliefs. Percept Mot Skills. 2014 Oct;119(2):609-28. doi: 10.2466/03.10.PMS.119c23z4. Epub 2014 Sep 26.
PMID: 25259780BACKGROUNDHertzog C, Lustig E, Pearman A, Waris A. Behaviors and Strategies Supporting Everyday Memory in Older Adults. Gerontology. 2019;65(4):419-429. doi: 10.1159/000495910. Epub 2019 Feb 8.
PMID: 30739118BACKGROUNDLineweaver, T. T., & Hertzog, C. (1998). Adults' efficacy and control beliefs regarding memory and aging: Separating general from personal beliefs. Aging, Neuropsychology, and Cognition 5, 264-296. doi: 10.1076/anec.5.4.264.771
BACKGROUND
Limitations and Caveats
We were forced to change the protocol to allow only remote participation from home given the COVID-19 pandemic. Adjusting assessment procedures took time and also forced us to reduce the scope of the intervention, especially one on one shaping of trained procedures, given constraints on available staff to coach participants with an accelerated testing schedule. Changes in assessment procedures led to some lost data through failed programs or participant errors in saving data.
Results Point of Contact
- Title
- Dr. Christopher Hertzog
- Organization
- Georgia Institute of Technology
Study Officials
- PRINCIPAL INVESTIGATOR
Christopher Hertzog, Ph.D
Georgia Institute of Technology
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 11, 2019
First Posted
September 12, 2019
Study Start
March 15, 2021
Primary Completion
December 10, 2021
Study Completion
December 10, 2021
Last Updated
May 1, 2024
Results First Posted
May 1, 2024
Record last verified: 2024-04
Data Sharing
- IPD Sharing
- Will not share