Evidence map›Paper›PMID 34991699›Full record

ArticleAddiction science & clinical practice2022

A personalized biomedical risk assessment infographic for people who smoke with COPD: a qualitative study.

Samir Gupta, Puru Panchal, Mohsen Sadatsafavi, Parisa Ghanouni, Don Sin, Smita Pakhale, Teresa To, Zafar Zafari, Laura Nimmon, Canadian Respiratory Research Network

Open access · goldAbstract read
In one paragraph

Article in Addiction science & clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 11% 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.

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

2 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 6 institutions in 3 countries.

Samir GuptaKeenan Research Center, Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada. samir.gupta@unityhealth.to.ORCID 0000-0002-7307-6247
Puru PanchalMichael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.
Mohsen SadatsafaviRespiratory Evaluation Sciences Program, Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
Parisa GhanouniFaculty of Health, School of Occupational Therapy, Halifax, NS, Canada.
Don SinUBC Centre for Heart Lung Innovation, St Paul's Hospital, Providence Building, Vancouver, BC, Canada.
Smita PakhaleDivision of Respiratory Medicine, The Ottawa Hospital, Ottawa, ON, Canada.
Teresa ToChild Health Evaluative Sciences, Research Institute, The Hospital for Sick Children, Toronto, ON, Canada.
Zafar ZafariDepartment of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, MD, USA.
Laura NimmonDepartment of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, BC, Canada.
Canadian Respiratory Research Network
University of British Columbia · CAHospital for Sick Children · CAMcMaster University · CAOttawa Hospital · CASt. Michael's Hospital · CAUniversity of Maryland, Baltimore · US

Funding

CIHR
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) causes 3 million deaths each year, yet 38% of COPD patients continue to smoke. Despite proof of effectiveness and universal guideline recommendations, smoking cessation interventions are underused in practice. We sought to develop an infographic featuring personalized biomedical risk assessment through future lung function decline prediction (with vs without ongoing smoking) to both prompt and enhance clinician delivery of smoking cessation advice and pharmacotherapy, and augment patient motivation to quit.

methodsWe recruited patients with COPD and pulmonologists from a quaternary care center in Toronto, Canada. Infographic prototype content and design was based on best evidence. After face validation, the prototype was optimized through rapid-cycle design. Each cycle consisted of: (1) infographic testing in a moderated focus group and a clinician interview (recorded/transcribed) (with questionnaire completion); (2) review of transcripts for emergent/critical findings; and (3) infographic modifications to address findings (until no new critical findings emerged). We performed iterative transcript analysis after each cycle and a summative qualitative transcript analysis with quantitative (descriptive) questionnaire analysis.

resultsStopping criteria were met after 4 cycles, involving 20 patients (58% male) and 4 pulmonologists (50% male). The following qualitative themes emerged: Tool content (infographic content preferences); Tool Design (infographic design preferences); Advantages of Infographic Messaging (benefits of an infographic over other approaches); Impact of Tool on Determinants of Smoking Cessation Advice Delivery (impact on barriers and enablers to delivery of smoking cessation advice in practice); and Barriers and Enablers to Quitting (impact on barriers and enablers to quitting). Patient Likert scale ratings of infographic content and format/usability were highly positive, with improvements in scores for 20/21 questions through the design process. Providers scored the infographic at 77.8% ("superior") on the Suitability Assessment of Materials questionnaire.

conclusionsWe developed a user preference-based personalized biomedical risk assessment infographic to drive smoking cessation in patients with COPD. Our findings suggest that this tool could impact behavioural determinants of provider smoking-cessation advice delivery, while increasing patient quit motivation. Impacts of the tool on provider care, patient motivation to quit, and smoking cessation success should now be evaluated in real-world settings.

Indexed as

Pulmonary Disease, Chronic ObstructiveSmoking CessationData VisualizationFemaleHumansMaleRisk AssessmentSmokeSmokeBehaviour changeBiomedical risk assessmentCOPDInfographicMotivation to quitQualitative content analysisSmoking cessation

Identifiers

PMID34991699
PMCPMC8734321
OpenAlexW4206785971

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.