Evidence map›Paper›PMID 35948920›Full record

ArticleBMC health services research2022

A qualitative descriptive study of a novel nurse-led skin cancer screening model in rural Australia.

Kristen Glenister, Sophie Witherspoon, Alan Crouch

Abstract read
In one paragraph

Article in BMC health services research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kristen GlenisterDepartment of Rural Health, 'The Chalet', University of Melbourne, Docker Street, Wangaratta 3677, Victoria, Australia. Kristen.glenister@unimelb.edu.au.
Sophie WitherspoonDepartment of Rural Health, 'The Chalet', University of Melbourne, Docker Street, Wangaratta 3677, Victoria, Australia.
Alan CrouchDepartment of Rural Health, 'Dunvegan', University of Melbourne, 806 Mair Street, Ballarat, VIC, 3350, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople residing in rural areas have higher rates of skin cancer and face barriers to accessing care. Models of skin cancer care addressing the specific needs of rural communities and overcoming specific challenges are required, but literature is scarce. This study aimed to describe the elements of a nurse-led skin cancer model in rural Victoria using qualitative methodology and programme logic to inform implementation and ongoing sustainability.

methodsQualitative descriptive design. Semi-structured interviews were conducted with key stakeholders involved in the skin cancer model, namely health service executive management, clinical staff, and administration staff. Interviews were audio-recorded and transcribed verbatim. Transcripts were thematically analysed independently by two researchers before themes were compared and refined. A programme logic model was developed to organise themes into contextual elements, inputs, activities and anticipated outcomes; it was also used as a visual tool to aid discussions with key stakeholders. Member checking of the logic model occurred to verify interpretation. This programme logic model will be refined throughout the implementation phase, and again after three years of service delivery.

resultsEight stakeholders participated in interviews. Thematic analysis identified three major themes: the influence of the local rural context, the elements of the model, and "making it happen'. These major themes and accompanying sub-themes were mapped to the programme logic model by contextual elements (rural locale, health service access barriers, burden of disease), key inputs (promotion, human resources including appropriate nurse training and leadership) and 'making it happen' (governance including referral pathways, flexible and sustained funding, and partnerships). The anticipated outcomes identified include skin cancer care delivered locally, timely access, career development for nurses, and decreased skin cancer burden.

conclusionAn initiative that is place-based and community driven in response to consumer demand addresses key system barriers to earlier detection of skin cancers. It is anticipated to result in flow-on reductions in skin cancer disease burden. Programme logic was useful to both describe the initiative and as a visual tool for discussions, with the potential to inform wider health service efforts to address system barriers and bottlenecks.

Indexed as

Rural Health ServicesSkin NeoplasmsEarly Detection of CancerHumansNurse's RoleQualitative ResearchRural PopulationVictoriaModelNurse-ledProgramme logic modelRuralSkin cancer

Identifiers

PMID35948920
PMCPMC9365213

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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.