Evidence map›Paper›PMID 38939360›Full record

ArticleProceedings of the ACM on human-computer interaction2022

A Longitudinal Goal Setting Model for Addressing Complex Personal Problems in Mental Health.

Elena Agapie, Patricia A Areán, Gary Hsieh, Sean A Munson

Abstract read
In one paragraph

Article in Proceedings of the ACM on human-computer interaction, 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. 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
  3. Article
  4. Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024
    Article
  5. MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health Condition.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2024
    Article
  6. 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
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.

Elena AgapieUniversity of California, Irvine, USA.
Patricia A AreánUniversity of Washington, USA.
Gary HsiehUniversity of Washington, USA.
Sean A MunsonUniversity of Washington, USA.

Funding

UW ALACRITY Center for Psychosocial Interventions ResearchP50MH115837 · NIMH · UNIVERSITY OF WASHINGTON · PI Michael David Pullmann · 2018 to 2026
$18.2M
NIMH NIH HHS P50 MH115837
6 · The paper itself

Abstract

Goal setting is critical to achieving desired changes in life. Many technologies support defining and tracking progress toward goals, but these are just some parts of the process of setting and achieving goals. People want to set goals that are more complex than the ones supported through technology. Additionally, people use goal-setting technologies longitudinally, yet the understanding of how people's goals evolve is still limited. We study the collaborative practices of mental health therapists and clients for longitudinally setting and working toward goals through semi-structured interviews with 11 clients and 7 therapists who practiced goal setting in their therapy sessions. Based on the results, we create the Longitudinal Goal Setting Model in mental health, a three-stage model. The model describes how clients and therapists select among multiple complex problems, simplify complex problems to specific goals, and adjust goals to help people address complex issues. Our findings show collaboration between clients and therapists can support transformative reflection practices that are difficult to achieve without the therapist, such as seeing problems through new perspectives, questioning and changing practices, or addressing avoided issues.

Indexed as

collaborative reflectionconcepts and modelsEmpirical studies in collaborative and social computingEmpirical studies in HCIgoal settingHCI theoryHuman-centered computingmental health

Identifiers

PMID38939360
PMCPMC11210183

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.