Evidence map›Paper›PMID 40438897›Full record

ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference

What's In Your Kit? Mental Health Technology Kits for Depression Self-Management.

Eleanor R Burgess, David C Mohr, Sean A Munson, Madhu C Reddy

Abstract read
In one paragraph

Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Eleanor R BurgessSchool of Communication Northwestern University Evanston, Illinois, USA.
David C MohrCenter for Behavioral Intervention Technologies Northwestern University Chicago, Illinois, USA.
Sean A MunsonHuman Centered Design & Engineering University of Washington Seattle, Washington, USA.
Madhu C ReddyDepartment of Informatics University of California, Irvine Irvine, California, USA.

Funding

UW ALACRITY Center for Psychosocial Interventions ResearchP50MH115837 · NIMH · UNIVERSITY OF WASHINGTON · PI Michael David Pullmann · 2018 to 2026
$18.2M
Technology Enabled Services for Coordinated Care of Depression in Healthcare SettingsP50MH119029 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DAVID CURTIS MOHR, Jessica Lee Schleider · 2020 to 2026
$10.7M
NIMH NIH HHS P50 MH115837NIMH NIH HHS P50 MH119029
6 · The paper itself

Abstract

This paper characterizes the mental health technology "kits" of individuals managing depression: the specific technologies on their digital devices and physical items in their environments that people turn to as part of their mental health management. We interviewed 28 individuals living across the United States who use bundles of connected tools for both individual and collaborative mental health activities. We contribute to the HCI community by conceptualizing these tool assemblages that people managing depression have constructed over time. We detail categories of tools, describe kit characteristics (intentional, adaptable, available), and present participant ideas for future mental health support technologies. We then discuss what a mental health technology kit perspective means for researchers and designers and describe design principles (building within current toolkits; creating new tools from current self-management strategies; and identifying gaps in people's current kits) to support depression self-management across an evolving set of tools.

Indexed as

depressiondesign principlesMental healthself-managementtechnology bundletechnology kittooltoolkit

Identifiers

PMID40438897
PMCPMC12118807

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.