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Cochrane Database of Systematic Reviews

Personally tailored activities for improving psychosocial outcomes for people with dementia in long-term care

Overview of attention for article published in Cochrane database of systematic reviews, February 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
32 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
253 Mendeley
Title
Personally tailored activities for improving psychosocial outcomes for people with dementia in long-term care
Published in
Cochrane database of systematic reviews, February 2018
DOI 10.1002/14651858.cd009812.pub2
Pubmed ID
Authors

Ralph Möhler, Anna Renom, Helena Renom, Gabriele Meyer

Abstract

People with dementia who are being cared for in long-term care settings are often not engaged in meaningful activities. Offering them activities which are tailored to their individual interests and preferences might improve their quality of life and reduce challenging behaviour. ∙ To assess the effects of personally tailored activities on psychosocial outcomes for people with dementia living in long-term care facilities.∙ To describe the components of the interventions.∙ To describe conditions which enhance the effectiveness of personally tailored activities in this setting. We searched ALOIS, the Cochrane Dementia and Cognitive Improvement Group's Specialized Register, on 16 June 2017 using the terms: personally tailored OR individualized OR individualised OR individual OR person-centred OR meaningful OR personhood OR involvement OR engagement OR engaging OR identity. We also performed additional searches in MEDLINE (Ovid SP), Embase (Ovid SP), PsycINFO (Ovid SP), CINAHL (EBSCOhost), Web of Science (ISI Web of Science), ClinicalTrials.gov, and the World Health Organization (WHO) ICTRP, to ensure that the search for the review was as up to date and as comprehensive as possible. We included randomised controlled trials and controlled clinical trials offering personally tailored activities. All interventions included an assessment of the participants' present or past preferences for, or interests in, particular activities as a basis for an individual activity plan. Control groups received either usual care or an active control intervention. Two authors independently checked the articles for inclusion, extracted data and assessed the methodological quality of included studies. For all studies, we assessed the risk of selection bias, performance bias, attrition bias and detection bias. In case of missing information, we contacted the study authors. We included eight studies with 957 participants. The mean age of participants in the studies ranged from 78 to 88 years and in seven studies the mean MMSE score was 12 or lower. Seven studies were randomised controlled trials (three individually randomised, parallel group studies, one individually randomised cross-over study and three cluster-randomised trials) and one study was a non-randomised clinical trial. Five studies included a control group receiving usual care, two studies an active control intervention (activities which were not personally tailored) and one study included both an active control and usual care. Personally tailored activities were mainly delivered directly to the participants; in one study the nursing staff were trained to deliver the activities. The selection of activities was based on different theoretical models but the activities did not vary substantially.We found low-quality evidence indicating that personally tailored activities may slightly improve challenging behaviour (standardised mean difference (SMD) -0.21, 95% confidence interval (CI) -0.49 to 0.08; I² = 50%; 6 studies; 439 participants). We also found low-quality evidence from one study that was not included in the meta-analysis, indicating that personally tailored activities may make little or no difference to general restlessness, aggression, uncooperative behaviour, very negative and negative verbal behaviour (180 participants). There was very little evidence related to our other primary outcome of quality of life, which was assessed in only one study. From this study, we found that quality of life rated by proxies was slightly worse in the group receiving personally tailored activities (moderate-quality evidence, mean difference (MD) -1.93, 95% CI -3.63 to -0.23; 139 participants). Self-rated quality of life was only available for a small number of participants, and there was little or no difference between personally tailored activities and usual care on this outcome (low-quality evidence, MD 0.26, 95% CI -3.04 to 3.56; 42 participants). We found low-quality evidence that personally tailored activities may make little or no difference to negative affect (SMD -0.02, 95% CI -0.19 to 0.14; I² = 0%; 6 studies; 589 participants). We found very low quality evidence and are therefore very uncertain whether personally tailored activities have any effect on positive affect (SMD 0.88, 95% CI 0.43 to 1.32; I² = 80%; 6 studies; 498 participants); or mood (SMD -0.02, 95% CI -0.27 to 0.23; I² = 0%; 3 studies; 247 participants). We were not able to undertake a meta-analysis for engagement and the sleep-related outcomes. We found very low quality evidence and are therefore very uncertain whether personally tailored activities improve engagement or sleep-related outcomes (176 and 139 participants, respectively). Two studies that investigated the duration of the effects of personally tailored activities indicated that the intervention effects persisted only during the delivery of the activities. Two studies reported information about adverse effects and no adverse effects were observed. Offering personally tailored activities to people with dementia in long-term care may slightly improve challenging behaviour. Evidence from one study suggested that it was probably associated with a slight reduction in the quality of life rated by proxies, but may have little or no effect on self-rated quality of life. We acknowledge concerns about the validity of proxy ratings of quality of life in severe dementia. Personally tailored activities may have little or no effect on negative affect and we are uncertain whether they improve positive affect or mood. There was no evidence that interventions were more likely to be effective if based on one specific theoretical model rather than another. Our findings leave us unable to make recommendations about specific activities or the frequency and duration of delivery. Further research should focus on methods for selecting appropriate and meaningful activities for people in different stages of dementia.

Twitter Demographics

The data shown below were collected from the profiles of 32 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 253 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 52 21%
Student > Bachelor 38 15%
Student > Ph. D. Student 31 12%
Researcher 21 8%
Student > Doctoral Student 14 6%
Other 37 15%
Unknown 60 24%
Readers by discipline Count As %
Medicine and Dentistry 63 25%
Nursing and Health Professions 48 19%
Psychology 19 8%
Social Sciences 17 7%
Biochemistry, Genetics and Molecular Biology 5 2%
Other 29 11%
Unknown 72 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 December 2020.
All research outputs
#774,664
of 17,145,811 outputs
Outputs from Cochrane database of systematic reviews
#2,013
of 11,629 outputs
Outputs of similar age
#25,891
of 377,388 outputs
Outputs of similar age from Cochrane database of systematic reviews
#56
of 206 outputs
Altmetric has tracked 17,145,811 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,629 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.7. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 377,388 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.