Evidence map›Paper›PMID 27025896›Full record

ArticleJMIR human factors2015

InformedTogether: Usability Evaluation of a Web-Based Decision Aid to Facilitate Shared Advance Care Planning for Severe Chronic Obstructive Pulmonary Disease.

Lauren M Uhler, Rafael E Pérez Figueroa, Mark Dickson, Lauren McCullagh, Andre Kushniruk, Helen Monkman, Holly O Witteman, Negin Hajizadeh

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR human factors, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03583840 (Effectiveness of a Web-based Intervention to Promote Health Screening in Men), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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.

NCT03583840 naunknown statusnot on this mapstarted 2019, after this paper: background citation

Effectiveness of a Web-based Intervention to Promote Health Screening in Men: A Community-based Randomised Controlled Trial

TypeinterventionalSponsorUniversity of MalayaRan2019 to 2019Enrolled220ConditionsMass Screening, Preventive Health ServicesArmsScreenMen website
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 22 citations in OpenAlex.

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  11. Other Ways of Knowing.Medical decision making : an international journal of the Society for Medical Decision Making · 2017
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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 at 6 institutions in 2 countries.

Lauren M UhlerDepartment of Medicine, Hofstra North Shore LIJ School of Medicine, North Shore LIJ Health System, Manhasset, NY, United States.ORCID http://orcid.org/0000-0001-6485-8207
IJ Research (United States) · USUniversity of Victoria · CACentre hospitalier universitaire de Québec · CAColumbia University Irving Medical Center · USNorthwell Health · USYpsilanti District Library · US

Funding

Interdisciplinary Research Training Institute on Hispanic Drug AbuseR25DA026401 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VALDEZ, AVELARDO · 2009 to 2019
$3.2M
AHRQ HHS K12 HS019473NIDA NIH HHS R25 DA026401
6 · The paper itself

Abstract

backgroundAdvance care planning may help patients receive treatments that better align with their goals for care. We developed a Web-based decision aid called InformedTogether to facilitate shared advance care planning between chronic obstructive pulmonary disease (COPD) patients and their doctors.

objectiveOur objective was to assess the usability of the InformedTogether decision aid, including whether users could interact with the decision aid to engage in tasks required for shared decision making, whether users found the decision aid acceptable, and implications for redesign.

methodsWe conducted an observational study with 15 patients and 8 doctors at two ethnically and socioeconomically diverse outpatient clinics. Data included quantitative and qualitative observations of patients and doctors using the decision aid on tablet or laptop computers and data from semistructured interviews. Patients were shown the decision aid by a researcher acting as the doctor. Pulmonary doctors were observed using the decision aid independently and asked to think aloud (ie, verbalize their thoughts). A thematic analysis was implemented to explore key issues related to decision aid usability.

resultsAlthough patients and doctors found InformedTogether acceptable and would recommend that doctors use the decision aid with COPD patients, many patients had difficulty understanding the icon arrays that were used to communicate estimated prognoses and could not articulate the definitions of the two treatment choices-Full Code and Do Not Resuscitate (DNR). Minor usability problems regarding content, links, layout, and consistency were also identified and corresponding recommendations were outlined. In particular, participants suggested including more information about potential changes in quality of life resulting from the alternative advance directives. Some doctor participants thought the decision aid was too long and some thought it may cause nervousness among patients due to the topic area.

conclusionsA decision aid for shared advance care planning for severe COPD was found acceptable to most COPD patients and their doctors. However, many patient participants did not demonstrate understanding of the treatment options or prognostic estimates. Many participants endorsed the use of the decision aid between doctors and their patients with COPD, although they desired more information about quality of life. The design must optimize comprehensibility, including revising the presentation of statistical information in the icon array, and feasibility of integration into clinical workflow, including shortening the decision aid.

Indexed as

advance care planningCOPDdecision aidshared decision makingusability testing

Identifiers

PMID27025896
PMCPMC4797670
OpenAlexW1970817505

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.