Dataset Information

Effectiveness of Information and Communication Technology (ICT) Interventions in Elderly's Sleep Disturbances: A Systematic Review and Meta-Analysis.

ABSTRACT: Sleep is a crucial factor for human health and is closely related to quality of life. Sleep disturbances constitute a health problem that should be solved, especially when it affects the elderly. This study aims to examine the effectiveness of information and communication technologies (ICT) interventions in managing sleep disturbances in the elderly. The study used a systematic review of three databases: Ovid-Medline, Ovid-EMBASE, and the Cochrane library database for papers published till 15 April 2021. Two authors independently selected and screened relevant studies based on predefined inclusion criteria. The meta-analysis of randomized controlled trials (RCTs) was carried out using Review Manager 5.4. Two authors independently screened the titles and abstracts of 4297 studies considering both inclusion and exclusion criteria. The complete texts of 47 articles were then evaluated, 31 articles were excluded, and finally, 16 articles were selected. Our meta-analysis showed that the cognitive-behavioral therapy for insomnia (CBT-I) group had a significantly reduced Insomnia Severity Index (ISI) compared to the control group (-4.81 [-5.56, -4.06], p < 0.00001, I² = 83%) in RCTs, with a significant reduction in ISI (3.47 [1.58, 5.35], p = 0.0003) found in quasi-experimental studies. A significant improvement was found in total sleep time in the CBT-I group compared to the control group (29.24 [15.41, 43.07], p <0.0001) in RCTs, while the CBT-I group showed significantly reduced wake time after sleep onset compared to the control group (-20.50 [-26.60, -14.41], p < 0.00001). In addition, a significant reduction in depression was found in the CBT-I group compared to the control group (-2.11 [-2.85, -1.37], p < 0.00001, I² = 0%) in RCTs. The quality of life-mental component score (5.75 [1.64, 9.87], p = 0.006, I² = 0%) and the quality of life-physical component score (5.19 [0.76, 9.62], p = 0.02, I² = 0%) showed significant improvement in the CBT-I group compared to the control group. ICT interventions showed positive effects on sleep disturbances of the elderly, specifically confirming the positive effect on depression and quality of life as well as the indicators directly related to sleep such as ISI and quality of sleep. Thus, the application of ICT in the healthcare sector will be greater in the future, with changes in the nursing education and practice guidelines so that nurses can play a pivotal role in promoting health behaviors such as sleep-related quality of life and daily activities of the elderly.

SUBMITTER: Lee S

PROVIDER: S-EPMC8468949 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundThis study investigates the use of an information and communication technology (Elder Tree) designed for older adults and their informal caregivers to improve older adult quality of life and address challenges older adults face in maintaining their independence (for example, loneliness and isolation, falling, managing medications, driving and transportation).Methods/designThis study, an unblinded randomized controlled trial, will evaluate the effectiveness and cost of Elder Tree. Older adults who are at risk for losing their independence - along with their informal caregivers, if they name them - are randomized to two groups. The intervention group has access to their usual sources of information and communication as well as to Elder Tree for 18 months while the control group uses only their usual sources of information and communication. The primary outcome of the study is older adult quality of life. Secondary outcomes are cost per Quality-Adjusted Life Year and the impact of the technology on independence, loneliness, falls, medication management, driving and transportation, and caregiver appraisal and mastery. We will also examine the mediating effect of self-determination theory. We will evaluate the effectiveness of Elder Tree by comparing intervention- and control-group participants at baseline and months 6, 12, and 18. We will use mixed-effect models to evaluate the primary and secondary outcomes, where pretest score functions as a covariate, treatment condition is a between-subjects factor, and the multivariate outcome reflects scores for a given assessment at the three time points. Separate analyses will be conducted for each outcome. Cost per Quality-Adjusted Life Year will be compared between the intervention and control groups. Additional analyses will examine the mediating effect of self-determination theory on each outcome.DiscussionElder Tree is a multifaceted intervention, making it a challenge to assess which services or combinations of services account for outcomes in which subsets of older adults. If Elder Tree can improve quality of life and reduce healthcare costs among older adults, it could suggest a promising way to ease the burden that advancing age can place on older adults, their families, and the healthcare system.Trial registrationClinicalTrials.gov NCT02128789 . Registered on 26 March 2014.

Project description:This research aimed to demonstrate the existence of innovation in an evaluation model that is called the D escription- I nput- V erification- A ction- Y ack- A nalysis- N ominate- A ctualization (DIVAYANA) model as an evaluation model for the implementation of information technology-based learning at ICT vocational schools. This model can be used to determine the recommendation priority given to policy-makers to make decisions to optimize the implementation of information technology-based learning at the ICT vocational schools. This research was included in development research, with development stages that follow the Borg and Gall model design, which only focused on five stages. The five stages, included: research and information collecting, planning, develop preliminary form of product, preliminary field test, and main product revision. The subjects who were involved in the preliminary field test of the DIVAYANA model were 14 teachers from several ICT vocational schools in Bali. Determination of the research subject used purposive sampling technique. The reason for using this sampling technique is to make it easier to find subjects who understand and have critical thinking about the evaluation model. This research was carried out at ICT vocational schools in five districts in Bali province. The reason for choosing a research place at ICT vocational school is to show valid evidence that the DIVAYANA evaluation model is suitable for evaluating the information technology-based learning process at the level of vocational school. The data collection tools in the preliminary field test were questionnaires. The analysis technique that was used to analyze the quantitative data from the preliminary field test in this research was quantitative descriptive. The result of this research was in the form of effectiveness percentage level of the DIVAYANA model was 88.571%, so that this model was able to be categorized as an evaluation model that effective for information technology-based learning at ICT vocational schools.

Dataset Information

Effectiveness of Information and Communication Technology (ICT) Interventions in Elderly's Sleep Disturbances: A Systematic Review and Meta-Analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets