NCT04088136

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
68

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Mar 2021

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

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

Completed
1 day until next milestone

First Posted

Study publicly available on registry

September 12, 2019

Completed
1.5 years until next milestone

Study Start

First participant enrolled

March 15, 2021

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 10, 2021

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 10, 2021

Completed
2.4 years until next milestone

Results Posted

Study results publicly available

May 1, 2024

Completed
Last Updated

May 1, 2024

Status Verified

April 1, 2024

Enrollment Period

9 months

First QC Date

September 11, 2019

Results QC Date

December 8, 2022

Last Update Submit

April 3, 2024

Conditions

Keywords

everyday memoryecological momentary assessmentmemory complaintmetacognitionmnemonicsexternal aids

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

EXPERIMENTAL

Training in techniques for managing memory demands in everyday life

Behavioral: Everyday Metacognitive Memory Intervention

Memory Strategy Control

ACTIVE COMPARATOR

Trains the use of memory strategies for learning new associations and concepts

Behavioral: Memory Strategy Control Intervention

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.

Everyday Metacognitive Memory

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).

Memory Strategy Control

Eligibility Criteria

Age70 Years - 85 Years
Sexall
Healthy VolunteersYes
Age GroupsOlder Adult (65+)

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

Study Sites (1)

Adult Cognition Lab

Atlanta, Georgia, 30332, United States

Location

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: 20016124BACKGROUND
  • Bailey 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: 24577079BACKGROUND
  • Bottiroli 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: 23978160BACKGROUND
  • Bottiroli 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: 28609674BACKGROUND
  • Dunlosky 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: 17565167BACKGROUND
  • Dunlosky 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: 11352207BACKGROUND
  • Dunlosky, J., Hertzog, C., Kennedy, M. R. T., & Thiede, K. W. (2005). The self-monitoring approach for effective learning. Cognitive Technology, 10, 4-11.

    BACKGROUND
  • Dunlosky 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: 12825781BACKGROUND
  • Hertzog 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: 20377166BACKGROUND
  • Hertzog 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: 20604613BACKGROUND
  • Hertzog 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: 24478539BACKGROUND
  • Hertzog 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: 25259780BACKGROUND
  • Hertzog 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: 30739118BACKGROUND
  • Lineweaver, 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

  • Christopher Hertzog, Ph.D

    Georgia Institute of Technology

    PRINCIPAL INVESTIGATOR

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

Locations