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Improving prospective memory in persons with multiple sclerosis via telehealth: A randomized feasibility study
Elizabeth S Gromisch1, Aaron P Turner2, Lindsay O Neto3
1Mandell Center for Multiple Sclerosis, Mount Sinai Rehabilitation Hospital, Trinity Health Of New England, 490 Blue Hills Avenue, Hartford, CT, 06112, USA; Department of Rehabilitative Medicine, Frank H. Netter MD School of Medicine at Quinnipiac University, 370 Bassett Road, North Haven, CT 06473, USA; Department of Medical Sciences, Frank H. Netter MD School of Medicine at Quinnipiac University, 370 Bassett Road, North Haven, CT 06473, USA; Department of Neurology, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA.
Background:
Persons with multiple sclerosis (PwMS) can experience deficits in prospective memory (PM) or "remembering to remember," which are associated with functional difficulties. However, no cognitive rehabilitation intervention has specifically addressed improving PM in PwMS. The Telehealth PM Intervention (TPMI) provides a novel combination of two strategies-visual imagery and implementation intentions-that have each been beneficial in other populations. This study aimed to evaluate the feasibility of TPMI and its preliminary efficacy, which could be used to inform future trials.
Methods:
Participants (n = 35) were PwMS who were pre-screened and endorsed experiencing problems "remembering places they have to be" and "things they have to do." After completing a baseline evaluation, which included objective (Memory for Intentions Test; MIST) and subjective (Perceived Deficits Questionnaire; PDQ-PM) measures of PM, participants were randomized to either the active treatment (TPMI; n = 17) or active control group (Control; n = 18). TPMI was offered through remote one-on-one sessions twice a week over a four-week period. Participants were asked about treatment credibility and expectancy during the first session. The MIST and PDQ-PM were repeated at post-treatment, where treatment satisfaction was also captured. Mann-Whitney U and chi-square tests were used to examine the feasibility measures, while repeated measures ANOVAs were used to examine changes in the PM outcomes.
Results:
A total of 88.2 % of the TPMI group completed all eight sessions, with moderate-to-high (≥7 out of 10) treatment credibility/expectancy and satisfaction reported by 93.3 % and 86.7 %, respectively. While there were no significant effects on overall PM, the TPMI group had an improvement in objective time-based PM after adjusting for baseline differences (F(1,29) = 4.61, p = 0.040; d = 0.80). Furthermore, the TPMI group had a significant reduction in the number of time-based loss of content errors compared to the Control group, which remained significant after covariate adjustment (F(1,25) = 4.29, p = 0.049; d = 0.83).
Conclusions:
TPMI is a feasible intervention, with high completion rates and moderate-to-high treatment ratings, that can be delivered remotely. Early evidence shows its potential benefit for improving time-based PM, a particular concern for PwMS, which should be further evaluated in a larger clinical trial.
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