ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference2017
Supporting the Self-Management of Chronic Pain Conditions with Tailored Momentary Self-Assessments.
Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 52 citations in OpenAlex.
- Functionality Review of Mobile Apps for the Tracking and Self-Management of Fatigue: Systematic Search in App Stores and Content Analysis.JMIR mHealth and uHealth · 2026Article
- A Chronic Pain Self-Management Mobile App (Dolodoc): Cross-Sectional Acceptability Study.JMIR human factors · 2026Article
- "Helpful in Thinking Through the Question": Redesigning the Patient Health Questionnaire-8 for Depression Assessment to Enhance Patient Engagement and Understanding.JMIR human factors · 2026Article
- Exploring the Multifactorial Predictors of Pain in Chronic Musculoskeletal Pain: A Regression-Based Study.Journal of pain research · 2025Article
- Contrasting the Expectations and Experiences Related to Mobile Health Use for Chronic Pain: Questionnaire Study.JMIR human factors · 2022Article
- Observational
- Data Visualization for Chronic Neurological and Mental Health Condition Self-management: Systematic Review of User Perspectives.JMIR mental health · 2022Review
- Article
- Information Quality Challenges of Patient-Generated Data in Clinical Practice.Frontiers in public health · 2017Article
- 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 ConferenceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
To better support the self-management of chronic pain, this paper investigates how those living with the condition prefer to self-assess their pain levels using smartphones. Our work consists of three stages: design ideation and review, an in-lab user study with 10 participants resulting in nine candidate interfaces, and a 3 week field trial of two further honed measures with 12 participants. This research firstly yields a better understanding of participants' strong and sometimes contrasting preferences regarding their self-assessment of pain intensity. We additionally contribute two novel interfaces that support accurate, quick, and repeated use along with other participant-valued interactions (e.g., familiar, relatable, and highly usable). In particular, we focus on designing tailored measures that both enhance respondent motivation as well as minimize the difficulty of meaningful self-assessment by supporting the cog-nitive effort in translating a subjective experience into a single numerical value.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.