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Managing daily symptoms for people with Alzheimer's Disease or Related Dementia (ADRD) can be challenging and confusing for informal caregivers who are family members or friends and not paid for their assistance. This is due, in part, to gaps in knowledge. Ensuring that informal caregivers are properly educated about ADRD symptoms and treatment guidelines is an essential first step for reducing adverse health events that people living with ADRD experience and addressing the substantial emotional and physical burden that caregivers report. The goal of is project is to improve caregiver education to support treatment adherence for ADRD with retrieval practice. This intervention incorporates principles from the science of learning for structuring retrieval practice to optimize learning and that are effective across the lifespan to compensate for gaps in knowledge and processing capabilities including learners who experience associative memory deficits due to age, their own disease state, or other factors.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Structured Retrieval Practice (SRP) | Experimental |
| |
| Standard Retrieval Practice | Active Comparator |
| |
| Self-paced Study | Active Comparator |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Structured Retrieval Practice | Behavioral | The primary learning principle driving the proposed learning intervention is retrieval practice. The efficacy of spaced retrieval practice for learning is supported by a large and robust literature. Accurately recalling information during practice increases the probability that information will be accessible later when the stakes are higher. Caregivers studied all 12 BPSD in the learning phase, at their own pace, and then completed retrieval practice trials by answering multiple choice questions. Each multiple choice question had 1 correct answer and 3 incorrect lures. Detailed, corrective, and elaborative feedback was provided after each response to reinforce correct answers and correct wrong responses. The order of learning strategy was randomized per caregiver, and caregivers went through the learning phase a total of three times. Strategy was consistent between trials. |
| Measure | Description | Time Frame |
|---|---|---|
| Delayed test performance | proportion correct on the final 2-day delayed test of symptoms and treatments of ADRD. The test will be in multiple-choice format. | 2 days following first session |
| Immediate test performance | proportion correct on the immediate (approx. 10 min retention interval) test of symptoms and treatments of ADRD. The test will be in multiple-choice format. | at the end of the first session; 10 minutes post-intervention |
| Measure | Description | Time Frame |
|---|---|---|
| caregiver self-efficacy | Caregiver self-efficacy for symptom management will be measured using the symptom subscale of the Family Caregiver Self-efficacy for Dementia Scale, which includes 5 items. An example item is, "how certain are you right now that you can handle any problems your relative has, like memory loss, wandering, or behavior problems." Responses will be given using a 1 (not at all certain) to 10 (very certain) scale. We will expand this scale to include items that match with our content and our symptom presence, severity, and frequency measure. Specifically, participants will respond to 12 questions using a scale from 1 (not at all certain) to 10 (very certain). An example item is, "how certain are you right now that you can handle when your loved one living with dementia experiences false beliefs or delusions?" |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Texas Christian University | Fort Worth | Texas | 76129 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 12028884 | Background | Fortinsky RH, Kercher K, Burant CJ. Measurement and correlates of family caregiver self-efficacy for managing dementia. Aging Ment Health. 2002 May;6(2):153-60. doi: 10.1080/13607860220126763. | |
| Background | Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315. doi: 10.1111/j.1540-5915.2008.00192.x | ||
| 37847784 |
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| ID | Term |
|---|---|
| D003704 | Dementia |
| ID | Term |
|---|---|
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
| D019965 | Neurocognitive Disorders |
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| ID | Term |
|---|---|
| D003132 | Commerce |
| ID | Term |
|---|---|
| D013676 | Technology, Industry, and Agriculture |
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Participants are masked to study hypothesis. Analyses are conducted blind to condition assignment.
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| Business as usual learning | Behavioral | Caregivers were informed that they would read about 12 BPSD and that they should try their best to read each text as if they were researching the material on their own. Caregivers then studied each of the 12 BPSD, one-by-one, in a webpage format, at their own pace. |
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| Standard Retrieval Practice | Behavioral | Caregivers completed retrieval practice trials during learning by responding to multiple choice questions each with 1 correct answer and 3 incorrect lures. No feedback was provided following their response selections. |
|
| 2 days following intervention (i.e., session 2 measure) |
| E-Health Literacy | The E-health Literacy Scale (eHEALS) will be administered to assess perceived skills and comfort related to using internet resources for acquiring health knowledge. The scale includes 10 questions (e.g., I can tell high quality from low quality health resources on the internet). Questions require responding on a Likert sale ranging from 1 to 5 (1-strongly disagree, 2- disagree, 3-undecided, 4-agree, 5-strongly agree; 1-not useful at all, 2-not useful, 3-unsure, 4-useful, 5-very useful; or 1-not important at all, 2-not important, 3-unsure, 4-important, 5-very important). Composite scores will be calculated with higher scores indicate higher e-health literacy. | 2 days following intervention (i.e., session 2 measure) |
| Letter and pattern comparison | Perceptual speed will be measured with the Letter Comparison Test and Pattern Comparison Test. The Letter Comparison Test involves 21 letter string pairs to be judged as the same or different. The Pattern Comparison Test involves 30 line patterns to be judged as the same or different. For both comparison tests, participants are given 24 seconds per test to complete as many items as possible, and performance is calculated as the number of items correct. Performance on each test will be calculated as the number of items correct, and a composite score will be calculated per participant. | 2 days following intervention (i.e., session 2 measure) |
| Raven's progressive matrices | Non-verbal fluid intelligence will be assessed with a computerized version of Raven's progressive matrices. Participants will complete 18 trials in ascending order in trial normative difficulty . For each trial, a 3 x 3 array will be displayed with 8 geometric figures. The 9th position in the bottom right-hand corner will be empty. Participants will be given 8 geometric figures from which to choose to correctly complete the array. Participants will be given 10 minutes to complete as many trials as possible. Performance will be calculated as the total number of trials correct. | immediately following the intervention |
| Vocabulary | General knowledge will be assessed using a common measure of general knowledge in cognitive aging research, the Advanced Vocabulary Test I-v-4 . Participants will be presented with a series of words and required to select the synonym for each word out of five options. Participants are given 4 min per task to complete as many words as possible (36 total problems, 8 min total). The self-paced vocabulary test is presented in a fixed order, and no feedback is provided. Performance is calculated as the number of items correct while adjusting for guessing (i.e., number of items correct - (.2 * number of items incorrect)). | 2 days following intervention (i.e., session 2 measure) |
| Medical health knowledge | Participants will complete the Medical Term Recognition Test. The METER is completed on paper. A list of 40 medical words and 40 nonwords are presented. Participants read the list of items and select the ones that they recognize as real words. Participants are instructed not to guess and to only select items they are sure were real words. Performance on the METER is calculated as the number of words correctly recognized. | 2 days following intervention (i.e., session 2 measure) |
| Performance during learning | Caregivers' performance during learning will be defined as the percent correct on retrieval practice trials. Specifically, caregivers will respond to multiple choice questions during learning when engaging in retrieval practice, and learning progress will be quantified by aggregating responses across items for each block. Each multiple choice question will have 1 correct answer and 3 incorrect lures, and responses will be scored as 1 (correct) or 0 (incorrect) and then aggregated per participant. This is a quantitative measure that is standard in the science of learning and for which no validated scale is available. Performance on retrieval practice trials for the will be evaluated with item-level analysis (to explore content difficulty) and across each learning block to establish participants' rate-of-learning. | Baseline |
| Symptom presence, severity, and frequency | The behavioral and psychological symptoms experienced by the person living with dementia will be rated by the caregiver participants using the updated version of the Neuropsychiatric Inventory Questionnaire (NPI-Q). This measure includes 12 items that the participant will rate on presence (yes vs. no), severity (1 = mild, 2 = moderate, 3 = severe), and distress (1 = not distressing at all to 5 = extremely distressing). | 2 days following intervention (i.e., session 2 measure) |
| Usability measures | The Technology Acceptance Model (TAM) 3 scale will be administered, and scale composite score will be calculated. Example items are, "I find this system easy to use." and "The actual process of using the system is pleasant." Minor adaptations will be implemented to ensure questions are applicable to dementia care. Responses to all questions will be made on a 7-point Likert scale from strongly disagree to strongly agree. | Baseline |
| Demographic characteristics | This is not a scale measure, and no composite score or subscores are calculated. Instead, these are descriptive data about the sample so they are accurately described for considerations of generalizability. Questions include: age, gender, education level, race/ethnicity, first generation status, member of an underrepresented group, native language, socioeconomic status, occupation, relationship with individual living with Alzheimer's Disease or a related dementia (e.g., child, spouse), information seeking about dementia and caregiving, and duration of caregiving | Baseline and 2 days following baseline |
| self-reported subjective health information | Caregivers will self-report co-morbid medical conditions for the PLwD, and will report medication use, rating of health, hospitalizations, access to health insurance for the PLwD. Caregivers will be allowed to skip any questions they desire should they prefer not to report responses to any of these questions. No measurement scale will be used for these self-report questions. Instead, these brief questions are intended to obtain general health information. Example questions include, "does the person have other chronic conditions?" "Does the person living with dementia take any prescription medications?" and "Have you gone to the hospital emergency room (ER) about the person living with dementia's health in the past year (12 months)?" Responses to these questions will be used for descriptive purposes to better understand the sample and will not be aggregated into one measure. | Baseline |
| Background |
| Ariel R, Babineau A, Tauber SK. Teaching older adults to use retrieval practice improves their self-regulated learning. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2024 Sep;31(5):823-845. doi: 10.1080/13825585.2023.2271531. Epub 2023 Oct 17. |
| Background | Stanovich, K. E., & Cunningham, A. E. (1993). Where does knowledge come from? Specific associations between print exposure and information acquisition. Journal of Educational Psychology, 85(2), 211. doi: 10.1037/0022-0663.85.2.211 |
| 11001602 | Background | Kaufer DI, Cummings JL, Ketchel P, Smith V, MacMillan A, Shelley T, Lopez OL, DeKosky ST. Validation of the NPI-Q, a brief clinical form of the Neuropsychiatric Inventory. J Neuropsychiatry Clin Neurosci. 2000 Spring;12(2):233-9. doi: 10.1176/jnp.12.2.233. |
| Background | Salthouse, T. A., & Babcock, R. L. (1991). Decomposing adult age differences in working memory. Developmental Psychology, 27(5), 763-776. doi: 10.1037/0012-1649.27.5.763. |
| 19885705 | Background | Rawson KA, Gunstad J, Hughes J, Spitznagel MB, Potter V, Waechter D, Rosneck J. The METER: a brief, self-administered measure of health literacy. J Gen Intern Med. 2010 Jan;25(1):67-71. doi: 10.1007/s11606-009-1158-7. Epub 2009 Nov 3. |
| Background | Ekstrom, R. B., French, J. W., Harmon, H. H., & Dermen, D. (1976). Manual for kit of factor-referenced cognitive tests. Educational Testing Service. |
| Background | Raven, J., Raven, J. C., & Court, J. H. (1998). Raven manual section 4: Advanced progressive matrices. Oxford. Oxford University Press. |
| 17213046 | Background | Norman CD, Skinner HA. eHEALS: The eHealth Literacy Scale. J Med Internet Res. 2006 Nov 14;8(4):e27. doi: 10.2196/jmir.8.4.e27. |
| 33517368 | Background | Woods SP, Babicz MA, Matchanova A, Sullivan KL, Avci G, Hasbun R, Giordano TP, Fazeli P, Morgan EE. A Clinical Pilot Study of Spaced Retrieval Practice with a Self-Generation Booster to Improve Health-Related Memory in Persons With HIV Disease. Arch Clin Neuropsychol. 2021 Oct 13;36(7):1296-1306. doi: 10.1093/arclin/acaa130. |
| 20718541 | Background | Tse CS, Balota DA, Roediger HL 3rd. The benefits and costs of repeated testing on the learning of face-name pairs in healthy older adults. Psychol Aging. 2010 Dec;25(4):833-45. doi: 10.1037/a0019933. |
| 20946709 | Background | Sumowski JF, Wood HG, Chiaravalloti N, Wylie GR, Lengenfelder J, DeLuca J. Retrieval practice: a simple strategy for improving memory after traumatic brain injury. J Int Neuropsychol Soc. 2010 Nov;16(6):1147-50. doi: 10.1017/S1355617710001128. Epub 2010 Oct 15. |
| Background | Ringer, T. J., Wong-Pack, M., Miller, P., Patterson, C., Marr, S., Misiaszek, B., Woo, T., Sztramko, R., Vastis, P. G., & Papaioannou, A. (2020). Understanding the educational and support needs of informal caregivers of people with dementia attending an outpatient geriatric assessment clinic. Aging and Society, 40(1), 205-228. doi: 10.1017/S0144686X18000971 |
| 34238525 | Background | Jorge C, Ceto M, Arias A, Blasco E, Gil MP, Lopez R, Dakterzada F, Purroy F, Pinol-Ripoll G. Level of understanding of Alzheimer disease among caregivers and the general population. Neurologia (Engl Ed). 2021 Jul-Aug;36(6):426-432. doi: 10.1016/j.nrleng.2018.03.004. Epub 2020 Feb 20. |
| 30875907 | Background | Hernandez MH, Mestres C, Modamio P, Junyent J, Costa-Tutusaus L, Lastra CF, Marino EL. Adverse Drug Events in Patients with Dementia and Neuropsychiatric/Behavioral, and Psychological Symptoms, a One-Year Prospective Study. Int J Environ Res Public Health. 2019 Mar 15;16(6):934. doi: 10.3390/ijerph16060934. |
| D001523 | Mental Disorders |