Evidence map›Paper›PMID 37575767›Full record

ArticleCureus2023

Comparing Use Patterns and Acceptability of Mobile Digital Devices Between Care Recipients and Caregivers.

Miaolung Shih, Wei-Chen Miso Lee, Huey-Ming Tzeng, Hani Serag, Mukaila Raji

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Miaolung ShihOsher Lifelong Learning Institute, University of Texas Medical Branch at Galveston, Galveston, USA.
Wei-Chen Miso LeeDepartment of Family Medicine, University of Texas Medical Branch at Galveston, Galveston, USA.
Huey-Ming TzengSchool of Nursing, University of Texas Medical Branch at Galveston, Galveston, USA.
Hani SeragDepartment of Internal Medicine - Endocrinology, University of Texas Medical Branch at Galveston, Galveston, USA.
Mukaila RajiDivision of Geriatrics & Palliative Medicine, Department of Internal Medicine, University of Texas Medical Branch at Galveston, Galveston, USA.
The University of Texas Medical Branch at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of smartphones and other digital devices (such as tablets and smartwatches) is important for the aging population to enhance and optimize communications with caregivers, families, friends, and providers. It also provides a platform for app-based activities to promote mental, physical, spiritual, and social well-being and virtual social connectedness. We, therefore, examined types of digital devices and categories of smartphone functions used by caregivers and care recipients in comparison to those without any caregiving roles.

methodThe project team has developed a smartphone app based on Buddhist meditative practice principles for the enhancement of the physical, mental, cognitive, and emotional well-being of older adults and their caregivers and tested it in Galveston, Houston, and Dallas, TX. The study comprised a convenient sample of older adults, including members or volunteers of the International Buddhist Progress Society-Dallas (IBPS Dallas) and the University of Texas Medical Branch Osher Lifelong Learning Institute (UTMB OLLI). The survey focused on people who were 55 years and older (n = 219), with 177 valid responses (~80.8%) meeting the study's inclusion criteria. The survey collected data on (1) caregiving role, (2) demographic characteristics and caregiving concerns, and (3) types of devices, functions, and utilization. Descriptive analysis and logistic regression were used to describe and compare patterns of smartphone function/use by the different groups, i.e., caregivers, care recipients, and neither.

resultsAll of our survey respondents were 55 years and older, and among them, 17.5% were caregivers, 9.1% were care recipients, and 73.4% did not have any role. The majority of the caregivers were females (80.6%), and the average age of their care recipients was 66 years. The care recipients in our sample reported that the average age of their caregiver is only 55 years. Around three-fourths of caregivers reported that they have an app related to health or they are willing to use a health-related app, 32% of them use smart home appliances, whereas only 16% of people who are neither caregivers nor care recipients use such apps. Approximately 42% of caregivers reported taking care of their parents or parents-in-law, and their major concerns are about maintaining their income, scheduling tasks, and updating their knowledge as needed to better care for their loved ones. People use texting or messaging the most. However, the second and third highest utilization are different. The "neither" group significantly spends more time checking email and watching TV; the care recipients spend more time reading and watching TV (sedentary activities); the caregiver group spends more time on phone calls and listening to music.

conclusionsFindings of different patterns of digital device use exist between caregivers, care recipients, and the "neither" group, with 75% of caregivers using a digital device app related to health or reporting willingness to use a health-related app developed from our study. Our findings of their caregiving experiences might also inform the design of different intervention programs aimed at promoting mental, physical, and social well-being, improving quality of life while reducing disease/disability burden for older adults, and preventing burnout among caregivers.

Indexed as

agingcaregiverdementiadigital devicemobile technologysmartphone application

Identifiers

PMID37575767
PMCPMC10423037
OpenAlexW4384155211

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.