Evidence map›Paper›PMID 30061093›Full record

ArticleJMIR mHealth and uHealth2018

Mobile Apps for Caregivers of Older Adults: Quantitative Content Analysis.

Molli R Grossman, Deanah Kim Zak, Elizabeth M Zelinski

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05247801 (Safe Use of Medication at Home by Caregivers. Experimental Study), which is not on this map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
56.3field-weighted citation impact, top 1% 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.

NCT05247801 nacompletednot on this mapstarted 2022, after this paper: background citation

Safe Use of Medication at Home by Caregivers. Experimental Study

TypeinterventionalSponsorUniversidad Miguel Hernandez de ElcheRan2022 to 2024Enrolled142ConditionsCaregivers of Multi-pathological and Polypharmacy AdultsArmsPsychoeducational intervention for safe medication use at home + Medication dosing device, Medication dosing device
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 3 syntheses or guidelines pooled it, 140 citations in OpenAlex.

  1. Pooled it
  2. Mobile Apps for Helping Informal Caregivers: A Systematic Review.International journal of environmental research and public health · 2021
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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

3 authors at 1 institution in 1 country.

Molli R GrossmanLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0001-6195-3276
Deanah Kim ZakLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0003-3455-1030
Elizabeth M ZelinskiLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, United States.ORCID http://orcid.org/0000-0003-3994-399X
University of Southern California · US

Funding

RESEARCH TRAINING IN GERONTOLOGYT32AG000037 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, EILEEN M CRIMMINS · 1985 to 2026
$13.2M
LONGITUDINAL ASSESSMENT OF COGNITION IN ADULTSR01AG010569 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ZELINSKI, ELIZABETH M · 1993 to 2011
$4.2M
NIA NIH HHS R01 AG010569NIA NIH HHS T32 AG000037
6 · The paper itself

Abstract

backgroundInformal caregivers of older adults provide critical support for their loved ones but are subject to negative health outcomes because of burden and stress. Interventions to provide information and resources as well as social and emotional support reduce burden. Mobile apps featuring access to information, assistance with scheduling, and other features can automate support functions inexpensively and conveniently and reach a greater proportion of caregivers than otherwise possible.

objectiveThe aim of this study was to identify mobile apps geared towards caregivers of older adults, catalog features, and suggest best practices for adoption based on empirical findings of beneficial interventions in the caregiving literature.

methodsSearch for apps focused on ones catered for caregivers of older adults in Google Play and iTunes, compiling their features, and identifying features reflecting categories of support identified in successful intervention studies to negative caregiver outcomes. Intervention research indicates that provision of information and resources, assistance in practical problem solving, coordinating care among multiple caregivers, and emotional support reduce caregiver burden.

resultsDespite approximately over 200,000 mobile health-related apps, the availability of mobile apps for caregivers is relatively sparse (n=44 apps) as of October 2017. Apps generally addressed specific categories of support, including information and resources, family communication, and caregiver-recipient interactions. Few apps were comprehensive. Only 8 out of 44 (18%) had features that addressed three or more categories. Few apps provided specific stress reduction exercises for caregivers, which is important for reducing burden.

conclusionsMobile apps have the potential to provide resources, just--in--time information for problem-solving, and stress reduction strategies for caregivers. Many apps offer functions that have been shown to reduce burden and improve health outcomes in caregivers, but few provide emotional support. Using an evidence--based practice approach, mobile apps for caregivers can provide multiple beneficial support functions. Apps can serve a much larger proportion of this highly underserved population in their mobile form than more traditional means, improving their health and quality of life.

Indexed as

adult childrenagedcaregiverscarersdementiaelderlyfamily caregiversmobile appsquality of life

Identifiers

PMID30061093
PMCPMC6090169
OpenAlexW2809354366

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.