Evidence map›Paper›PMID 29721554›Full record

ArticleProceedings of the SIGCHI conference on human factors in computing systems. CHI Conference2018

Supporting Collaborative Health Tracking in the Hospital: Patients' Perspectives.

Sonali R Mishra, Andrew D Miller, Shefali Haldar, Maher Khelifi, Jordan Eschler, Rashmi G Elera, Ari H Pollack, Wanda Pratt

Abstract read
In one paragraph

Article in Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2026
    Article
  3. Review
  4. Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind People.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2023
    Article
  5. Article
  6. Article
  7. "They don't always think about that": Translational Needs in the Design of Personal Health Informatics Applications.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2021
    Article
  8. Article
  9. Article
  10. Self-Quantification Systems to Support Physical Activity: From Theory to Implementation Principles.International journal of environmental research and public health · 2020
    Review
  11. Article
  12. Article
  13. 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

8 authors.

Sonali R MishraThe Information School, University of Washington, Seattle, WA, USA.
Andrew D MillerHuman Centered Computing Indiana University, IUPUI Indianapolis, IN, USA.
Shefali HaldarBiomedical & Health Informatics, University of Washington, Seattle, WA, USA.
Maher KhelifiBiomedical & Health Informatics, University of Washington, Seattle, WA, USA.
Jordan EschlerThe Information School, University of Washington, Seattle, WA, USA.
Rashmi G EleraThe Information School, University of Washington, Seattle, WA, USA.
Ari H PollackBiomedical & Health Informatics, University of Washington, Seattle, WA, USA.
Wanda PrattThe Information School, University of Washington, Seattle, WA, USA.

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
Patients as safeguards: Understanding the information needs of hospitalized patieR01HS022894 · AHRQ · UNIVERSITY OF WASHINGTON · PI PRATT, WANDA · 2014 to 2018
$2.3M
AHRQ HHS R01 HS022894NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

The hospital setting creates a high-stakes environment where patients' lives depend on accurate tracking of health data. Despite recent work emphasizing the importance of patients' engagement in their own health care, less is known about how patients track their health and care in the hospital. Through interviews and design probes, we investigated hospitalized patients' tracking activity and analyzed our results using the stage-based personal informatics model. We used this model to understand how to support the tracking needs of hospitalized patients at each stage. In this paper, we discuss hospitalized patients' needs for collaboratively tracking their health with their care team. We suggest future extensions of the stage-based model to accommodate collaborative tracking situations, such as hospitals, where data is collected, analyzed, and acted on by multiple people. Our findings uncover new directions for HCI research and highlight ways to support patients in tracking their care and improving patient safety.

Indexed as

H.5.m. Information interfaces and presentationHealthHealth informaticshospitalJ.3 Life and Medical SciencesMedical Information Systemspatient-clinician collaborationpatient engagementpatient safetypersonal informaticsself-tracking

Identifiers

PMID29721554
PMCPMC5927606

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.