Evidence map›Paper›PMID 36467432›Full record

ArticleProceedings of the ACM on human-computer interaction2019

"I think people are powerful": The Sociality of Individuals Managing Depression.

Eleanor R Burgess, Kathryn E Ringland, Jennifer Nicholas, Ashley A Knapp, Jordan Eschler, David C Mohr, Madhu C Reddy

Abstract read
In one paragraph

Article in Proceedings of the ACM on human-computer interaction, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools.CSCW : proceedings of the Conference on Computer-Supported Cooperative Work. Conference on Computer-Supported Cooperative Work · 2025
    Article
  2. Article
  3. DIS. Designing Interactive Systems (Conference) · 2025
    Article
  4. Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024
    Article
  5. Article
  6. Investigating the Role of Context in the Delivery of Text Messages for Supporting Psychological Wellbeing.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2023
    Article
  7. The Perceived Utility of Smartphone and Wearable Sensor Data in Digital Self-tracking Technologies for Mental Health.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2023
    Article
  8. Proceedings of the ACM on human-computer interaction · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Designing Mental Health Technologies that Support the Social Ecosystem of College Students.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2020
    Article
  15. What's In Your Kit? Mental Health Technology Kits for Depression Self-Management.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference
    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

7 authors.

Eleanor R BurgessNorthwestern University, USA.
Kathryn E RinglandNorthwestern University, USA.
Jennifer NicholasNorthwestern University, USA.
Ashley A KnappNorthwestern University, USA.
Jordan EschlerNorthwestern University, USA.
David C MohrNorthwestern University, USA.
Madhu C ReddyNorthwestern University, USA.

Funding

Technology Enabled Services for Coordinated Care of Depression in Healthcare SettingsP50MH119029 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Rachel Kornfield · 2020 to 2026
$10.7M
Multidisciplinary Training Program in Digital Mental HealthT32MH115882 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Darren Gergle, DAVID CURTIS MOHR · 2018 to 2026
$2.4M
NIMH NIH HHS P50 MH119029NIMH NIH HHS T32 MH115882
6 · The paper itself

Abstract

Millions of Americans struggle with depression, a condition characterized by feelings of sadness and motivation loss. To understand how individuals managing depression conceptualize their self-management activities, we conducted visual elicitations and semi-structured interviews with 30 participants managing depression in a large city in the U.S. Midwest. Many depression support tools are focused on the individual user and do not often incorporate social features. However, our analysis showed the key importance of sociality for self-management of depression. We describe how individuals connect with specific others to achieve expected support and how these interactions are mediated through locations and communication channels. We discuss factors influencing participants' sociality including relationship roles and expectations, mood state and communication channels, location and privacy, and culture and society. We broaden our understanding of sociality in CSCW through discussing diffuse sociality (being proximate to others but not interacting directly) as an important activity to support depression self-management.

Indexed as

communication channelsDepressiondiffuse socialitylocationmental health support technologyrelationship rolesself-managementsociality

Identifiers

PMID36467432
PMCPMC9714337

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.