Evidence map›Paper›PMID 33164561›Full record

ArticleHealth communication2022

How Older Adults with Chronic Pain Manage Social Support Interactions with Mobile Media.

Pamara F Chang, Natalya N Bazarova, Elaine Wethington

Abstract read
In one paragraph

Article in Health communication, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Article
  2. Review
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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.

Pamara F ChangDepartment of Communication, University of Cincinnati.
Natalya N BazarovaDepartment of Communication, University of Cincinnati.
Elaine WethingtonDepartment of Communication, University of Cincinnati.

Funding

Pilot CoreP30AG022845 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Manney Carrington Reid, ELAINE WETHINGTON · 2003 to 2026
$15.2M
NIA NIH HHS P30 AG022845
6 · The paper itself

Abstract

Mobile media offer new ways for older adults to access and interact with their social support networks. While mobile media usage has been increasing among older adults, less is known about why older adults with chronic pain prefer to select members of their existing social network for quality social support interactions, what types of communication mechanisms they engage in when utilizing mobile media, and how they use their mobile media to manage their interactions and relationships. The analysis of 25 semi-structured interviews with older adults with chronic pain reveals that a sense of camaraderie and shared meaning of pain experiences underlie their preferences for communicating with similar others about chronic pain. On the other hand, having to take on a role reversal of comforting and receiving unsolicited advice are the main reasons for avoiding social support interactions with dissimilar others. Additionally, older adults strategically utilize specific features of mobile media such as SMS text messaging for short forms of validation and encouragement, staccato social support, and management of interaction coordination or avoidance. This study demonstrates how mobile technology can be adopted and appropriated to meet social, emotional, and interpersonal needs of older adults' lives. It also provides important insights into communicative dynamics of pain-related social support interactions and communication channel selection of older adults. The way mobile media are used to leverage social interactions and support networks can contribute to self-management, health-promoting behavior, and overall quality of life for older adults with chronic pain.

Indexed as

Chronic PainText MessagingAgedCommunicationHumansQuality of LifeSocial Support

Identifiers

PMID33164561
PMCPMC8105424

What OpenQuestion holds

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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.