Evidence map›Paper›PMID 37036763›Full record

ArticleTranslational behavioral medicine2023

In person and virtual process mapping experiences to capture and explore variability in clinical practice: application to genetic referral pathways across seven Australian hospital networks.

April Morrow, Julia Steinberg, Priscilla Chan, Gabriella Tiernan, Elizabeth Kennedy, Natasha Egoroff, Desiree Hilton, Lucien Sankey, Rebecca Venchiarutti, Anne Hayward and 5 more

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

15 authors.

April MorrowImplementation to Impact Hub, School of Population Health, Faculty of Medicine, UNSW, Sydney, NSW, Australia.ORCID 0000-0003-0714-363X
Julia SteinbergThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, New South Wales, Australia.
Priscilla ChanImplementation to Impact Hub, School of Population Health, Faculty of Medicine, UNSW, Sydney, NSW, Australia.
Gabriella TiernanImplementation to Impact Hub, School of Population Health, Faculty of Medicine, UNSW, Sydney, NSW, Australia.
Elizabeth KennedyThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, New South Wales, Australia.
Natasha EgoroffSchool of Medicine and Public Health, University of Newcastle, Callaghan, Australia.
Desiree HiltonFamilial Cancer Service, Crown Princess Mary Cancer Centre, Westmead Hospital, Sydney, NSW, Australia.
Lucien SankeyMonash Health, Melbourne, Victoria, Australia.
Rebecca VenchiaruttiSurgical Outcomes Research Centre (SOuRCe), Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
Anne HaywardThe Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Amy PearnThe Daffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, New South Wales, Australia.
Skye McKayImplementation to Impact Hub, School of Population Health, Faculty of Medicine, UNSW, Sydney, NSW, Australia.
Deborah DebonoCentre for Health Services Management, School of Public Health, University of Technology Sydney, New South Wales, Australia.
Emily HogdenImplementation to Impact Hub, School of Population Health, Faculty of Medicine, UNSW, Sydney, NSW, Australia.
Natalie TaylorImplementation to Impact Hub, School of Population Health, Faculty of Medicine, UNSW, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic referral for Lynch syndrome (LS) exemplifies complex clinical pathways. Identifying target behaviours (TBs) for change and associated barriers requires structured group consultation activities with busy clinicians - consolidating implementation activities whilst retaining rigour is crucial. This study aimed to: i) use process mapping to gain in-depth understandings of site-specific LS testing and referral practices in Australian hospitals and support identification of TBs for change, ii) explore if barriers to identified TBs could be identified through process mapping focus-group data, and iii) demonstrate pandemic-induced transition from in-person to virtual group interactive process mapping methods. LS clinical stakeholders attended interactive in-person or virtual focus groups to develop site-specific "process maps" visually representing referral pathways. Content analysis of transcriptions informed site-specific process maps, then clinical audit data was compared to highlight TBs for change. TBs were reviewed in follow-up focus groups. Secondary thematic analysis explored barriers to identified TBs, coded against the Theoretical Domains Framework (TDF). The transition from in-person to pandemic-induced virtual group interactive process mapping methods was documented. Process mapping highlighted six key areas of clinical practice variation across sites and site-specific TBs for change were identified. Key barriers to identified TBs emerged, categorised to seven TDF domains. Process mapping revealed variations in clinical practices surrounding LS referral between sites. Incorporating qualitative perspectives enhances process mapping by facilitating identification of TBs for change and barriers, providing a pathway to developing targeted interventions. Virtual process mapping activities produced detailed data and enabled comprehensive map development.

Indexed as

Colorectal Neoplasms, Hereditary NonpolyposisHospitalsAustraliaFocus GroupsHumansReferral and ConsultationFocus-group researchImplementation scienceLynch syndromeProcess mappingQualitative research

Identifiers

PMID37036763
PMCPMC10415733

What OpenQuestion holds

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LicenceCC BY-NC
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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.