Evidence map›Paper›PMID 26260247›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Design and feasibility of integrating personalized PRO dashboards into prostate cancer care.

Andrea L Hartzler, Jason P Izard, Bruce L Dalkin, Sean P Mikles, John L Gore

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
–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

40 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  4. Patient-reported outcome use in oncology: a systematic review of the impact on patient-clinician communication.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
    Pooled it
  5. Trial
  6. Article
  7. Review
  8. Developing, Piloting and Evaluating a Patient Support Portal for Men With Prostate Cancer in Victoria: An Action Research Study.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  9. Article
  10. Building Patient-Facing Technology: A REDCap-Based Approach.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
    Article
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  20. Meeting the information and communication needs of health disparate populations.Journal of the American Medical Informatics Association : JAMIA · 2022
    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

5 authors.

Andrea L HartzlerGroup Health Research Institute, Seattle, Washington, USA hartzler.a@ghc.org.
Jason P IzardDepartments of Urology and Oncology, Queen's University, Kingston, Ontario, Canada.
Bruce L DalkinDepartment of Urology, University of Washington, Seattle, Washington, USA.
Sean P MiklesDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA.
John L GoreDepartment of Urology, University of Washington, Seattle, Washington, 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
Understanding and Promoting Health Literacy (R03)R03CA158054 · NCI · UNIVERSITY OF WASHINGTON · PI GORE, JOHN L. · 2011 to 2012
$156k
NCI NIH HHS R03 CA158054NCI NIH HHS R03CA158054NLM NIH HHS T15 LM007442NLM NIH HHS T15LM007442
6 · The paper itself

Abstract

objectivePatient-reported outcomes (PROs) are a valued source of health information, but prior work focuses largely on data capture without guidance on visual displays that promote effective PRO use in patient-centered care. We engaged patients, providers, and design experts in human-centered design of "PRO dashboards" that illustrate trends in health-related quality of life (HRQOL) reported by patients following prostate cancer treatment. MATERIALS AND

methodsWe designed and assessed the feasibility of integrating dashboards into care in 3 steps: (1) capture PRO needs of patients and providers through focus groups and interviews; (2) iteratively build and refine a prototype dashboard; and (3) pilot test dashboards with patients and their provider during follow-up care.

resultsFocus groups (n = 60 patients) prioritized needs for dashboards that compared longitudinal trends in patients' HRQOL with "men like me." Of the candidate dashboard designs, 50 patients and 50 providers rated pictographs less helpful than bar charts, line graphs, or tables (P < .001) and preferred bar charts and line graphs most. Given these needs and the design recommendations from our Patient Advisory Board (n = 7) and design experts (n = 7), we built and refined a prototype that charts patients' HRQOL compared with age- and treatment-matched patients in personalized dashboards. Pilot testing dashboard use (n = 12 patients) improved compliance with quality indicators for prostate cancer care (P < .01).

conclusionPRO dashboards are a promising approach for integrating patient-generated data into prostate cancer care. Informed by human-centered design principles, this work establishes guidance on dashboard content, tailoring, and clinical use that patients and providers find meaningful.

Indexed as

Patient-Centered CarePatient Outcome AssessmentUser-Computer InterfaceFeasibility StudiesFocus GroupsHumansMaleProstatic NeoplasmsQuality of Lifedata displaypatient-centered carepatient-provider communicationpatient-reported outcomesuser-computer interface

Identifiers

PMID26260247
PMCPMC5009933

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.