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The effect of m-health applications on self-care improvement in older adults: A systematic review

Overview of attention for article published in Informatics for Health & Social Care, March 2023
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Title
The effect of m-health applications on self-care improvement in older adults: A systematic review
Published in
Informatics for Health & Social Care, March 2023
DOI 10.1080/17538157.2023.2171878
Pubmed ID
Authors

Sharareh Rostam Niakan Kalhori, Meysam Rahmani Katigari, Tahere Talebi Azadboni, Shahrbanoo Pahlevanynejad, Rahil Hosseini Eshpala

Abstract

Four electronic databases were searched on March 6, 2020 including Scopus, PubMed, ISI, and Embase. Our search consisted of concepts of "self-care," "elderly" and "Mobile device." English journal papers and, RCTs conducted for individuals older than 60 in the last 10 years were included. A narrative approach was used to synthesize the data due to the heterogeneous nature of the data. Initially, 3047 studies were obtained and finally 19 studies were identified for deep analysis. 13 outcomes were identified in m-health interventions to help older adults' self-care. Each outcome has at least one or more positive results. The psychological status and clinical outcome measures were all significantly improved. According to the findings, it is not possible to draw a definite positive decision about the effectiveness of interventions on older adults because the measures are very diverse and have been measured with different tools. However, it might be declared that m-health interventions have one or more positive results and can be used along with other interventions to improve the health of older adults.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Other 1 11%
Student > Bachelor 1 11%
Unspecified 1 11%
Student > Ph. D. Student 1 11%
Other 3 33%
Readers by discipline Count As %
Medicine and Dentistry 3 33%
Unspecified 1 11%
Agricultural and Biological Sciences 1 11%
Nursing and Health Professions 1 11%
Social Sciences 1 11%
Other 1 11%
Unknown 1 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 March 2023.
All research outputs
#19,938,345
of 25,369,304 outputs
Outputs from Informatics for Health & Social Care
#239
of 298 outputs
Outputs of similar age
#293,364
of 416,700 outputs
Outputs of similar age from Informatics for Health & Social Care
#2
of 2 outputs
Altmetric has tracked 25,369,304 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 298 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 416,700 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.