Evidence map›Paper›PMID 30949590›Full record

ArticleInnovation in aging2019

What Are the Characteristics of Caregivers Logging in for Support Services?

Kylie Meyer, Zachary D Gassoumis, Kathleen Kelly, Donna Benton

Abstract read
In one paragraph

Article in Innovation in aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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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

4 authors.

Kylie MeyerSchool of Nursing, University of Texas Health Science Center at San Antonio.ORCID 0000-0003-3032-2054
Zachary D GassoumisUniversity of Southern California Leonard Davis School of Gerontology, Los Angeles, California.
Kathleen KellyFamily Caregiver Alliance, San Francisco, California.
Donna BentonUniversity of Southern California Leonard Davis School of Gerontology, Los Angeles, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesOnline service delivery options have the potential to increase access to informational resources among caregivers to older adults. However, it is unknown which caregivers will use online-delivered services over usual service delivery modes (e.g., by phone) when both options are available in social service settings. This is important for service providers to know when making decisions that best serve their communities. RESEARCH DESIGN AND

methodsGuided by Andersen's model of health service utilization, we used step-wise logistic regression models to compare the characteristics of caregivers who used an online information service called FCA CareJourney (FCA CJ) with those who accessed the same services using the usual mode of service delivery (

resultsIn all, 13.7% of clients used FCA CJ to receive services online. Enabling characteristics were the main predictors of using online-delivered services. Caregivers employed part-time had 3.82 times the odds of using online-delivered services compared to those employed full-time (odds ratio [OR] = 3.82; 95% confidence interval [CI]: 1.58-9.22). Caregivers who learned about services from health care providers had 2.91 times the odds of using FCA CJ as those who learned about services through social services (OR = 2.91; 95% CI: 1.28-6.62). Even among those who learned about services online, 62.2% still accessed services using usual delivery modes. DISCUSSION AND IMPLICATIONS: Based on differences in the characteristics of caregivers using different service delivery modes and the low uptake of online-delivered services, we suggest online service delivery should supplement, not replace, usual delivery modes in social service settings. At the same time, user rates of online service delivery are likely modifiable. Given the potential for online-delivered programming to expand access to information services for caregivers, we recommend further examination into the effects of marketing online service delivery options to caregivers in novel ways.

Indexed as

Caregiving informalEvaluationSocial servicesTechnology

Identifiers

PMID30949590
PMCPMC6441129

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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.