Evidence map›Paper›PMID 32448198›Full record

ArticleBMC health services research2020

How do guideline developers identify, incorporate and report patient preferences? An international cross-sectional survey.

Jayden Blackwood, Melissa J Armstrong, Corinna Schaefer, Ian D Graham, Loes Knaapen, Sharon E Straus, Robin Urquhart, Anna R Gagliardi

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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.

Jayden BlackwoodToronto General Hospital Research Institute, University Health Network, Toronto, Canada.
Melissa J ArmstrongDepartment of Neurology, University of Florida College of Medicine, Gainesville, USA.
Corinna SchaeferEvidence Based Medicine and Guidelines, Agency for Quality in Medicine, Berlin, Germany.
Ian D GrahamOttawa Hospital Research Institute, University of Ottawa, Ottawa, Canada.
Loes KnaapenSchool of Sociological and Anthropological Studies, University of Ottawa, Ottawa, Canada.
Sharon E StrausKeenan Research Centre of the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Robin UrquhartDepartment of Surgery, Dalhousie University, Halifax, Canada.
Anna R GagliardiToronto General Hospital Research Institute, University Health Network, Toronto, Canada. anna.gagliardi@uhnresearch.ca.ORCID http://orcid.org/0000-0002-5721-809X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGuidelines based on patient preferences differ from those developed solely by clinicians and may promote patient adherence to guideline recommendations. There is scant evidence on how to develop patient-informed guidelines. This study aimed to describe how guideline developers identify, incorporate and report patient preferences.

methodsWe employed a descriptive cross-sectional survey design. Eligible organizations were non-profit agencies who developed at least one guideline in the past five years and had considered patient preferences in guideline development. We identified developers through the Guidelines International Network and publicly-available guideline repositories, administered the survey online, and used summary statistics to report results.

resultsThe response rate was 18.3% (52/284). Respondents included professional societies, and government, academic, charitable and healthcare delivery organizations from 18 countries with at least 1 to ≥6 years of experience generating patient-informed guidelines. Organizations most frequently identified preferences through patient panelists (86.5%) and published research (84.6%). Most organizations (48, 92.3%) used multiple approaches to identify preferences (median 3, range 1 to 5). Most often, organizations used preferences to generate recommendations (82.7%) or establish guideline questions (73.1%). Few organizations explicitly reported preferences; instead, they implicitly embedded preferences in guideline recommendations (82.7%), questions (73.1%), or point-of-care communication tools (61.5%). Most developers had little capacity to generate patient-informed guidelines. Few offered training to patients (30.8%), or had dedicated funding (28.9%), managers (9.6%) or staff (9.6%). Respondents identified numerous barriers to identifying preferences. They also identified processes, resources and clinician- and patient-strategies that can facilitate the development of patient-informed guidelines. In contrast to identifying preferences, developers noted few approaches for, or barriers or facilitators of incorporating or reporting preferences.

conclusionsDevelopers emphasized the need for knowledge on how to identify, incorporate and report patient preferences in guidelines. In particular, how to use patient preferences to formulate recommendations, and transparently report patient preferences and the influence of preferences on guidelines is unknown. Still, insights from responding developers may help others who may be struggling to generate guidelines informed by patient preferences.

Indexed as

Patient CompliancePatient PreferenceCross-Sectional StudiesHumansPractice Guidelines as TopicSurveys and QuestionnairesClinical practice guidelinesPatient-centred carePatient participationPatient preferencesQuestionnaire

Identifiers

PMID32448198
PMCPMC7247137

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.