Development of the ubiquitous spaced retrieval-based memory advancement and rehabilitation training program

Experiences of Older Adults with Mild Cognitive Impairment from Cognitive Self-Training Using Touchscreen Tablets

Background: "Tablet Enhancement of Cognition and Health" (TECH) is a cognitive intervention that includes two components: 5 weeks of daily self-training using puzzle-game apps on a touch screen tablet and weekly group sessions. This study aimed to (i) explore experiences of older adults with mild cognitive impairment (MCI) following their participation in TECH, (ii) identify hindering and enabling factors to self-training, and (iii) describe participants' perceived and objective cognitive changes and examine factors associated with their satisfaction from TECH. Materials and Methods: We used quantitative and qualitative measures; a phenomenological qualitative design using focus groups and interviews of 14 older adults with MCI and a focus group of the TECH facilitators. Satisfaction with TECH, self-training time, and perceived and objective cognitive changes (using the Montreal Cognitive Assessment) were evaluated. Results: Qualitative data were classified into three categories: Memory problems, Hindering and enabling factors to self-training, and Meaningful group sessions. The TECH facilitators reported positive changes, less cognitive complaints, and commitment and satisfaction of the participants. Participants reported overall satisfaction from TECH and performed a median interquartile range of 22.6 (19.9-42.8) self-training hours. Higher satisfaction was correlated with a higher objective cognitive change (r = 0.95, P < 0.01) and less training time (r = -0.91, P < 0.01). Discussion and Conclusions: Participants in the current study actively engaged in daily self-training using touch screen-tablet-puzzle-game and functional apps, driven by both internal and external motivators. Despite the lack of cognitive improvement, they expressed satisfaction with their participation in TECH. Therefore, encouraging older adults to engage in meaningful cognitive stimulating activities is recommended.

TECH preserves global cognition of older adults with MCI compared with a control group: a randomized controlled trial

BACKGROUND

Cognitive training using touchscreen tablet casual game applications (apps) has potential to be an effective treatment method for people with mild cognitive impairment (MCI).

AIMS

This study aimed to establish the effectiveness of 'Tablet Enhancement of Cognition and Health' (TECH), a novel cognitive intervention for improving/preserving cognition in older adults with MCI.

METHODS

A single-blind randomized controlled trial with assessments pre-, post-, and at 6-month follow-up was conducted. TECH entailed 5 weeks of daily self-training utilizing tablet apps, facilitated by weekly group sessions. Global cognition was assessed by the Montreal Cognitive Assessment (MoCA), and specific cognitive components were assessed using WebNeuro computerized battery. Short Form Health Survey (SF-12) assessed health-related quality of life (HRQoL). Intention-to-treat analysis was conducted and the %change was calculated between pre-post and between pre-follow-up. Cohen's d effect size was also calculated.

RESULTS

Sixty-one participants aged 65-89 years were randomly allocated to TECH (N = 31, 14 women) or to standard care (N = 30, 14 women). Pre-post and pre-follow-up MoCA %change scores were significantly higher in TECH than control (U = 329.5, p < .05; U = 294.5, p < .05) with intermediate effect size values (Cohen's d = .52, Cohen's d = .66). Forty percent of TECH participants versus 6.5% of control participants achieved a minimal clinical important difference in MoCA. Pre-post between-group differences for specific cognitive components were not found and HRQoL did not change.

DISCUSSION AND CONCLUSIONS

TECH encouraged daily self-training and showed to preserve global cognition of older adults with MCI. The implementation of TECH is recommended for older adults with MCI, who are at risk for further cognitive decline.

Asynchronous, online spaced-repetition training alleviates word-finding difficulties in aphasia

Word-finding difficulties for naming everyday objects are often prevalent in aphasia. Traditionally, treating these difficulties has involved repeated drilling of troublesome items with a therapist. Spaced repetition schedules can improve the efficiency of such training. However, spaced repetition in a therapy environment can be both difficult to implement and time-consuming. The current study evaluated the potential utility of automated, asynchronous, online spaced repetition training for the treatment of word-finding difficulties in individuals with aphasia. Twenty-one participants completed a two-week training study, completing approximately 60 minutes per day of asynchronous online drilling. The training items were identified using a pretest, and word-finding difficulties were evaluated both at the end of training (i.e., a post-test) and four weeks later (i.e., a retention test). The trained items were separated into three different spaced-repetition schedules: (1) Short-spacing; (2) Long-spacing; and (3) Adaptive-spacing. At the retention-test, all trained items outperformed non-trained items in terms of accuracy and reaction time. Further, preliminary evidence suggested a potential reaction time advantage for the adaptive-spacing condition. Overall, online, asynchronous spaced repetition training appears to be effective in treating word-finding difficulties in aphasia. Further research will be required to determine if different spaced repetition schedules can be leveraged to enhance this effect.

Feasibility and Effects of Cognitive Training with the COGNIPLAT Game Platform in Elderly with Mild Cognitive Impairment: Pilot Randomized Controlled Trial

This study examines the effectiveness of a new multi-domain multimodal cognitive training game platform, COGNIPLAT, in improving cognitive performance in elderly with mild cognitive impairment (MCI). The platform combines standard serious games and cognitive stimulation leveraging virtual and augmented reality technologies. A double-arm, evaluator-blinded randomized controlled trial was conducted with 21 elderly participants in the MCI spectrum, with 11 in the intervention group (INT) and 10 in the control group (CTL). Feasibility was assessed in terms of adherence, effective learning, and perceived usefulness. The INT attended 24 training sessions, 60 minutes long, twice a week, whereas the CTL engaged in normal daily activities and usual care. Results showed that the INT had a statistically significant change in the Montreal Cognitive Assessment score, stages List B Recall, Short-term delayed Recall, and Long-term delayed Recall of the Rey Auditory Verbal Learning Test (RAVLT), Trail Making Test-A and B test scores, Digit Span Test (DST) Forward Span, and Functional Activities Questionnaire score. A trend level difference was also found for the RAVLT Recognition and the DST Backward Span. No significant differences were found for the CTL in any of the metrics. The completion rate of the INT was 91%, and the attendance rate was 100% for participants who completed the follow-up segment of the study. The engagement level was high, and effective learning was observed between the participants. The perceived usability and usefulness of the game platform was assessed as high. This study provides evidence of a positive effect of a multi-domain multimodal-based cognitive training program in elderly with MCI, with broader benefits on cognition by inducing more cooperative transfer effects over different domains.

Toward rational use of cognitive training in those with mild cognitive impairment

The term cognitive training includes a range of techniques that hold potential for treating cognitive impairment caused by neurologic injury and disease. Our central premise is that these techniques differ in their mechanisms of action and therefore engage distinct brain regions (or neural networks). We support this premise using data from a single-blind randomized-controlled trial in which patients with mild cognitive impairment were randomized to either mnemonic strategy training (MST) or spaced retrieval training (SRT) as they learned ecologically relevant object-location associations. Both training approaches were highly effective in the short term, but MST demonstrated a clear advantage after days to weeks. MST also increased activation in and functional connectivity between frontal, temporal, and parietal regions as well as the hippocampus. In contrast, patterns of reduced activation and functional connectivity were evident following SRT. These findings support the rational development of cognitive training techniques.

Determinants of Adherence to a “GRADIOR” Computer-Based Cognitive Training Program in People with Mild Cognitive Impairment (MCI) and Mild Dementia

Background: Computer-based programs have been implemented from a psychosocial approach for the care of people with dementia (PwD). However, several factors may determine adherence of older PwD to this type of treatment. The aim of this paper was to identify the sociodemographic, cognitive, psychological, and physical-health determinants that helped predict adherence or not to a “GRADIOR” computerized cognitive training (CCT) program in people with mild cognitive impairment (MCI) and mild dementia. Method: This study was part of a randomized clinical trial (RCT) (ISRCTN: 15742788). However, this study will only focus on the experimental group (n = 43) included in the RCT. This group was divided into adherent people (compliance: ≥60% of the sessions and persistence in treatment up to 4 months) and non-adherent. The participants were 60–90 age and diagnosed with MCI and mild dementia. We selected from the evaluation protocol for the RCT, tests that evaluated cognitive aspects (memory and executive functioning), psychological and physical health. The CCT with GRADIOR consisted of attending 2–3 weekly sessions for 4 months with a duration of 30 min Data analysis: Phi and Biserial-point correlations, a multiple logical regression analysis was obtained to find the adherence model and U Mann–Whitney was used. Results: The adherence model was made up of the Digit Symbol and Arithmetic of Wechsler Adult Intelligence Scale (WAIS-III) and Lexical Verbal Fluency (LVF) -R tests. This model had 90% sensitivity, 50% specificity and 75% precision. The goodness-of-fit p-value of the model was 0.02. Conclusions: good executive functioning in attention, working memory (WM), phonological verbal fluency and cognitive flexibility predicted a greater probability that a person would be adherent.

Methodological Designs Applied in the Development of Computer-Based Training Programs for the Cognitive Rehabilitation in People with Mild Cognitive Impairment (MCI) and Mild Dementia. Systematic Review

In recent years, different computer-based cognitive training (CT) programs for people with dementia (PwD) have been developed following a psychosocial approach.

AIM

This systematic review aims to identify the methodological designs applied in the development of computer-based training (CCT) programs for the rehabilitation of cognitive functioning in people with mild cognitive impairment (MCI) or mild dementia.

METHODS

A systematic review was conducted using the databases PubMed and PsycINFO. The search period was between 2000-2019. The study selection and data extraction processes were carried out by two independent reviewers. The protocol was registered in International Prospective Register of Systematic Reviews (PROSPERO) under registration number CRD42020159027.

RESULTS

Thirteen studies met the inclusion criteria. The most frequently used methodological design in the development of CCT programs for people with MCI or mild dementia was the user-centered design (UCD). This design involves an interactive system characterized by the inclusion of end users from the initial stages of its development, throughout the establishment of functional requirements, and in the evaluation of the program's usability and user-experience (UX).

CONCLUSION

UCD was the most used methodological design for the development of CCT programs although there was quite some variation in how this design was applied. Recommendations for future studies about the development of CCT programs for people with MCI and mild dementia are given. Central focus should be the inclusion and active participation of end users from the initial stages of development.

Going digital: a narrative overview of the effects, quality and utility of mobile apps in chronic disease self-management

Objective Smartphone health applications (apps) are being increasingly used to assist patients in chronic disease self-management. The effects of such apps on patient outcomes are uncertain, as are design features that maximise usability and efficacy, and the best methods for evaluating app quality and utility. Methods In assessing efficacy, PubMed, Cochrane Library and EMBASE were searched for systematic reviews (and single studies if no systematic review was available) published between January 2007 and January 2018 using search terms (and synonyms) of 'smartphone' and 'mobile applications', and terms for each of 11 chronic diseases: asthma, chronic obstructive lung disease (COPD), diabetes, chronic pain, serious mental health disorders, alcohol and substance addiction, heart failure, ischaemic heart disease, cancer, cognitive impairment, chronic kidney disease (CKD). With regard to design features and evaluation methods, additional reviews were sought using search terms 'design', 'quality,' 'usability', 'functionality,' 'adherence', 'evaluation' and related synonyms. Results Of 13 reviews and six single studies assessing efficacy, consistent evidence of benefit was seen only with apps for diabetes, as measured by decreased glycosylated haemoglobin levels (HbA1c). Some, but not all, studies showed benefit in asthma, low back pain, alcohol addiction, heart failure, ischaemic heart disease and cancer. There was no evidence of benefit in COPD, cognitive impairment or CKD. In all studies, benefits were clinically marginal and none related to morbid events or hospitalisation. Twelve design features were identified as enhancing usability. An evaluation framework comprising 32 items was formulated. Conclusion Evidence of clinical benefit of most available apps is very limited. Design features that enhance usability and maximise efficacy were identified. A provisional 'first-pass' evaluation framework is proposed that can help decide which apps should be endorsed by government agencies following more detailed technical assessments and which could then be recommended with confidence by clinicians to their patients. What is known about the topic? Smartphone health apps have attracted considerable interest from patients and health managers as a means of promoting more effective self-management of chronic diseases, which leads to better health outcomes. However, most commercially available apps have never been evaluated for benefits or harms in clinical trials, and there are currently no agreed quality criteria, standards or regulations to ensure health apps are user-friendly, accurate in content, evidence based or efficacious. What does this paper add? This paper presents a comprehensive review of evidence relating to the efficacy, usability and evaluation of apps for 11 common diseases aimed at assisting patients in self-management. Consistent evidence of benefit was only seen for diabetes apps; there was absent or conflicting evidence of benefit for apps for the remaining 10 diseases. Benefits that were detected were of marginal clinical importance, with no reporting of hard clinical end-points, such as mortality or hospitalisations. Only a minority of studies explicitly reported using behaviour change theories to underpin the app intervention. Many apps lacked design features that the literature identified as enhancing usability and potential to confer benefit. Despite a plethora of published evaluation tools, there is no universal framework that covers all relevant clinical and technical attributes. An inclusive list of evaluation criteria is proposed that may overcome this shortcoming. What are the implications for practitioners? The number of smartphone apps will continue to grow, as will the appetite for patients and clinicians to use them in chronic disease self-management. However, the evidence to date of clinical benefit of most apps already available is very limited. Design features that enhance usability and clinical efficacy need to be considered. In making decisions about which apps should be endorsed by government agencies and recommended with confidence by clinicians to their patients, a comprehensive but workable evaluation framework needs to be used by bodies assuming the roles of setting and applying standards.

Cognitive Improvement in Older Adults with Mild Cognitive Impairment: Evidence from a Multi-Strategic Metamemory Training

Intervention programs to relieve memory impairment and memory-related complaints in older adults with mild cognitive impairment are needed. Objective: The purpose of the current study was to assess the efficacy of a novel cognitive training approach-named multi-strategic metamemory training-in older adults with amnestic mild cognitive impairment. Among a total of 113 older adults with mild cognitive impairment, 66 participated in the memory training program (training group) and 47 did not (control group). Repeated measures of analysis of variance revealed that compared with the control group, the training group experienced: i) a significantly greater increase in cognitive test scores of long-term delayed free recall (F_interaction = 6.04, p = .016) and fluency (F_interaction = 4.11, p = .045) and ii) significantly greater decrease in their subjective memory complaints for everyday memory (F_interaction = 7.35, p = .009). These results suggest that the training program can improve verbal memory (i.e., delayed free recall), language processing (i.e., categorical fluency) and limit complaints in everyday instrumental memory activities of mildly impaired older adults.

Diagnostic and interventional implications of telemedicine in Alzheimer's disease and mild cognitive impairment: A literature review

INTRODUCTION

Worldwide, life expectancy, and aging-related disorders as mild cognitive impairment (MCI) and Alzheimer disease (AD) are increasing, having a rising impact on patients' quality of life and caregivers' distress. Telemedicine offers many possibilities, such as remote diagnosing and monitoring of patients.

OBJECTIVE

The purpose of this study is to provide a narrative synthesis of the literature about the implementation of telemedicine for diagnosis, treatment, and follow-up of patients with AD and MCI and their caregivers.

METHODS

A systematic literature review was conducted on MEDLINE, EMBASE, and the Cochrane Library databases up to September 2018. MCI or AD diagnoses were the conditions of interest. We excluded other dementias.

RESULTS

Fifty-six articles met inclusion criteria. We identified two main categories: diagnosis group (DG) and follow-up/interventional group (FIG). Fifteen articles suggested how to make a remote or earlier diagnosis: four were case-control accuracy studies, nine were paired comparative accuracy studies, and two were prospective single-arm accuracy studies. Among these, four focused on MCI, six on AD, and five on both. Forty one focused on supporting patients during the stages of the disease (28 articles), patient's caregivers (nine articles), or both (four articles).

CONCLUSIONS

The rising use of telemedicine could actively improve AD and MCI patients' lives, reduce caregivers' burden, and facilitate an early diagnosis if patients live in remote places. However, as some studies report, it is relevant to take into account the emotional impact of telemedicine on patients and not only on the effectiveness.

The Use of Tablet Technology by Older Adults in Health Care Settings-Is It Effective and Satisfying? A Systematic Review and Meta Analysis

OBJECTIVES

This systematic review/meta-analysis examines the potential for older people to accept and use tablet technology in clinical settings by assessing satisfaction and effectiveness.

METHODS

A comprehensive literature search was conducted of PubMed, SCOPUS, and CINAHL through March 2017. Inclusion criteria included studies with any clinical use of a tablet technology with a median patient age above 65 years.

RESULTS

We included a total of 12 studies (4 randomized controlled trials, 4 cross-sectional studies, and 4 pre/post studies). Interventions included the use of tablet technology for medication self-management, post-surgery education, memory retention, cognitive rehabilitation, and exercise promotion. The use of tablet technology by older people in clinical settings was associated with high satisfaction with a pooled prevalence of satisfaction of 78%; 95% CI 27-100. We did not find evidence for effectiveness in improving clinical or behavioral outcomes.

CONCLUSIONS

Older people can use and are satisfied with table technology in clinical settings. More studies are needed to evaluate the effectiveness of tablet technology at promoting health outcomes.

CLINICAL IMPLICATIONS

Clinicians should be encouraged to utilize tablet technology in the care of older patients.

Technology-based cognitive training and rehabilitation interventions for individuals with mild cognitive impairment: a systematic review

Background

Individuals with mild cognitive impairment (MCI) are at heightened risk of developing dementia. Rapid advances in computing technology have enabled researchers to conduct cognitive training and rehabilitation interventions with the assistance of technology. This systematic review aims to evaluate the effects of technology-based cognitive training or rehabilitation interventions to improve cognitive function among individuals with MCI.

Methods

We conducted a systematic review using the following criteria: individuals with MCI, empirical studies, and evaluated a technology-based cognitive training or rehabilitation intervention. Twenty-six articles met the criteria.

Results

Studies were characterized by considerable variation in study design, intervention content, and technologies applied. The major types of technologies applied included computerized software, tablets, gaming consoles, and virtual reality. Use of technology to adjust the difficulties of tasks based on participants’ performance was an important feature. Technology-based cognitive training and rehabilitation interventions had significant effect on global cognitive function in 8 out of 22 studies; 8 out of 18 studies found positive effects on attention, 9 out of 16 studies on executive function, and 16 out of 19 studies on memory. Some cognitive interventions improved non-cognitive symptoms such as anxiety, depression, and ADLs.

Conclusion

Technology-based cognitive training and rehabilitation interventions show promise, but the findings were inconsistent due to the variations in study design. Future studies should consider using more consistent methodologies. Appropriate control groups should be designed to understand the additional benefits of cognitive training and rehabilitation delivered with the assistance of technology.

Electronic supplementary material

The online version of this article (10.1186/s12877-018-0893-1) contains supplementary material, which is available to authorized users.

A Systematic Review of Nonpharmacological Interventions for Moderate to Severe Dementia: A Study Protocol for a Systematic Review and Meta-Analysis

The study is designed as a systematic review on nonpharmacological interventions for patients with moderate to severe dementia. This review will be conducted in accordance with the Cochrane Handbook for Systematic Reviews of Interventions. The following databases will be searched: Cochrane CENTRAL, MEDLINE, EMBASE, CINAHL, PsycINFO, KoreaMED, KMbase, and KISS. The primary outcome will include the effect of the interventions on activities of daily living and behavioral and psychological symptoms of dementia. The literature search will be conducted based on search strategies designed for each database. The reviewers will independently assess the identified studies and extract the data. The risk of bias will be assessed and a meta-analysis will be conducted in accordance with the methodology for meta-analysis described in the Cochrane handbook. This systematic review will provide clinicians and policy makers with reliable evidence for developing and implementing nonpharmacological interventions for moderate to severe patients with dementia.

Categorizing Health Outcomes and Efficacy of mHealth Apps for Persons With Cognitive Impairment: A Systematic Review

Background

Use of mobile health (mHealth) apps is growing at an exponential rate in the United States and around the world. Mild cognitive impairment (MCI), Alzheimer disease, and related dementias are a global health problem. Numerous mHealth interventions exist for this population, yet the effect of these interventions on health has not been systematically described.

Objective

The aim of this study is to catalog the types of health outcomes used to measure effectiveness of mHealth interventions and assess which mHealth interventions have been shown to improve the health of persons with MCI, Alzheimer disease, and dementia.

Methods

We searched 13 databases, including Ovid MEDLINE, PubMed, EMBASE, the full Cochrane Library, CINAHL, PsycINFO, Ei Compendex, IEEE Xplore, Applied Science & Technology Source, Scopus, Web of Science, ClinicalTrials.gov, and Google Scholar from inception through May 2017 for mHealth studies involving persons with cognitive impairment that were evaluated using at least one quantitative health outcome. Proceedings of the Annual ACM Conferences on Human Factors in Computing Systems, the ACM User Interface Software and Technology Symposium, and the IEEE International Symposium on Wearable Computers were searched in the ACM Digital Library from 2012 to 2016. A hand search of JMIR Publications journals was also completed in July 2017.

Results

After removal of duplicates, our initial search returned 3955 records. Of these articles, 24 met final inclusion criteria as studies involving mHealth interventions that measured at least one quantitative health outcome for persons with MCI, Alzheimer disease, and dementia. Common quantitative health outcomes included cognition, function, mood, and quality of life. We found that 21.2% (101/476) of the fully reviewed articles were excluded because of a lack of health outcomes. The health outcomes selected were observed to be inconsistent between studies. For those studies with quantitative health outcomes, more than half (58%) reported postintervention improvements in outcomes.

Conclusions

Results showed that many mHealth app interventions targeting those with cognitive impairment lack quantitative health outcomes as a part of their evaluation process and that there is a lack of consensus as to which outcomes to use. The majority of mHealth app interventions that incorporated health outcomes into their evaluation noted improvements in the health of persons with MCI, Alzheimer disease, and dementia. However, these studies were of low quality, leading to a grade C level of evidence. Clarification of the benefits of mHealth interventions for people with cognitive impairment requires more randomized controlled trials, larger numbers of participants, and trial designs that minimize bias.

Trial Registration

PROSPERO Registration: PROSPERO 2016:CRD42016033846; http://www.crd.york.ac.uk/PROSPERO/ display_record.asp?ID=CRD42016033846 (Archived by WebCite at http://www.webcitation.org/6sjjwnv1M)

Efficacy of the Ubiquitous Spaced Retrieval-based Memory Advancement and Rehabilitation Training (USMART) program among patients with mild cognitive impairment: a randomized controlled crossover trial

Background

Spaced retrieval training (SRT) is a nonpharmacological intervention for mild cognitive impairment (MCI) and dementia that trains the learning and retention of target information by recalling it over increasingly long intervals. We recently developed the Ubiquitous Spaced Retrieval-based Memory Advancement and Rehabilitation Training (USMART) program as a convenient, self-administered tablet-based SRT program. We also demonstrated the utility of USMART for improving memory in individuals with MCI through an open-label uncontrolled trial.

Methods

This study had an open-label, single-blind, randomized, controlled, two-period crossover design. Fifty patients with MCI were randomized into USMART–usual care and usual care–USMART treatment sequences. USMART was completed or usual care was provided biweekly over a 4-week treatment period with a 2-week washout period between treatment periods. Primary outcome measures included the Word List Memory Test, Word List Recall Test (WLRT), and Word List Recognition Test. Outcomes were measured at baseline, week 5, and week 11 by raters who were blinded to intervention type. An intention-to-treat analysis and linear mixed modeling were used.

Results

Of 50 randomized participants, 41 completed the study (18% dropout rate). The USMART group had larger improvements in WLRT score (effect size = 0.49, p = 0.031) than the usual care group. There were no significant differences in other primary or secondary measures between the USMART and usual care groups. Moreover, no USMART-related adverse events were reported.

Conclusions

The 4-week USMART modestly improved information retrieval in older people with MCI, and was well accepted with minimal technical support.

Trial registration

ClinicalTrials.gov NCT01688128. Registered 12 September 2012.

Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review

Background

Self-management is essential to caring for high-need, high-cost (HNHC) populations. Advances in mobile phone technology coupled with increased availability and adoption of health-focused mobile apps have made self-management more achievable, but the extent and quality of the literature supporting their use is not well defined.

Objective

The purpose of this review was to assess the breadth, quality, bias, and types of outcomes measured in the literature supporting the use of apps targeting HNHC populations.

Methods

Data sources included articles in PubMed and MEDLINE (National Center for Biotechnology Information), EMBASE (Elsevier), the Cochrane Central Register of Controlled Trials (EBSCO), Web of Science (Thomson Reuters), and the NTIS (National Technical Information Service) Bibliographic Database (EBSCO) published since 2008. We selected studies involving use of patient-facing iOS or Android mobile health apps. Extraction was performed by 1 reviewer; 40 randomly selected articles were evaluated by 2 reviewers to assess agreement.

Results

Our final analysis included 175 studies. The populations most commonly targeted by apps included patients with obesity, physical handicaps, diabetes, older age, and dementia. Only 30.3% (53/175) of the apps studied in the reviewed literature were identifiable and available to the public through app stores. Many of the studies were cross-sectional analyses (42.9%, 75/175), small (median number of participants=31, interquartile range 11.0-207.2, maximum 11,690), or performed by an app’s developers (61.1%, 107/175). Of the 175 studies, only 36 (20.6%, 36/175) studies evaluated a clinical outcome.

Conclusions

Most apps described in the literature could not be located on the iOS or Android app stores, and existing research does not robustly evaluate the potential of mobile apps. Whereas apps may be useful in patients with chronic conditions, data do not support this yet. Although we had 2-3 reviewers to screen and assess abstract eligibility, only 1 reviewer abstracted the data. This is one limitation of our study. With respect to the 40 articles (22.9%, 40/175) that were assigned to 2 reviewers (of which 3 articles were excluded), inter-rater agreement was significant on the majority of items (17 of 30) but fair-to-moderate on others.

Effects of spaced retrieval training with errorless learning in the rehabilitation of patients with dementia

[Purpose] Among the non-pharmacological interventions for dementia, spaced retrieval training (SRT) is a good method for rehabilitating cognition. The purpose of this study was to examine effects of SRT with errorless learning (EL) in the rehabilitation of patients with dementia. [Subjects and Methods] Twenty-nine participants with vascular dementia (VD) and Alzheimer’s disease (AD) participated in the present study. The Korean version of the Consortium to Establish a Registry for Alzheimer’s disease (CERAD-K) and Modified Barthel Index (MBI) were performed to assess the changes in the neuropsychological performance and the independent activities of daily living after SRT with EL. All tests were administered both before and after SRT with EL. Each SRT with EL intervention was performed for 30 minutes per day for 5 weeks. SPSS for Windows version 18.0 was used for statistical analysis. [Results] All items of the CERAD-K score of the VD group except for constructional praxis increased significantly after the SRT with EL intervention, but no significant differences from the AD group were found. The Korean version of the geriatric depression scale (GDS-K) of the VD group increased significantly after the SRT with EL intervention. The mean MBI scores of each group showed no significant difference after the intervention. [Conclusion] SRT with EL is an effective intervention for memory training of patients with dementia. Future research using sufficient sample sizes will be needed to obtain strong evidence for comparing not only the before and after intervention data but also between the groups.

Incidence of and risk factors for Alzheimer's disease and mild cognitive impairment in Korean elderly

BACKGROUND/AIMS

Knowledge of incidence rates and risk factors is essential for the development of strategies to treat patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI).

METHODS

A subpopulation of the Nationwide Survey on Dementia Epidemiology (460 Korean subjects aged ≥65 years from 2 rural and 2 urban districts) was followed up for 3.5 years. The age-specific incidence was estimated and risk factors were identified.

RESULTS

The age-standardized incidence of AD and MCI was 7.9 and 28.1 cases per 1,000 person-years, respectively. MCI was associated with a 6-fold increased risk of AD. Depression was a risk factor for AD with MCI. Age, lack of formal education, illiteracy, rural residence, and marital status were associated with the risk of AD.

CONCLUSION

Strategies to control modifiable risk factors should be implemented to decrease the incidence of AD.