Literature DB >> 17508271

The Teesside cancer family history service: change management and innovation at cancer network level.

Paul Brennan1, Oonagh Claber, Tracey Shaw.   

Abstract

The Teesside project took the underlying principle of the Kenilworth model--that people with a family history of cancer should be 'triaged' and signposted to appropriate clinical services--and applied it to a whole clinical cancer network in which inequity was the major driver for change. Unlike the Kenilworth model, the Department of Health/Macmillan Cancer Support-funded pilot project in Teesside embedded genetic risk assessment at secondary care level. The project took a 'bottom up' approach that engaged a wide variety of stakeholder groups and identified key challenges that formed the basis of a clear strategic plan. A number of specialist cancer nurses across the network had independently developed risk assessment roles over preceding years: these roles needed to be redefined prior to the creation of a small team of genetic risk assessment practitioners ('GRAPs'). This innovation challenged existing nursing roles on a local and national level. In turn, however, we were able to introduce a simple, single network-wide referral pathway, reducing workload on both primary care and tumour-specific services; to adopt a standardised genetic risk assessment pathway; and to incorporate risk assessment as a key step in the decision to enroll an individual in a clinical screening programme. Collaborative audit proved to be a useful way of engaging stakeholders and holding their attention throughout the three-year project, proving the value of the project in their terms, and embedding the changes we had made. The keys to success in this project were inclusiveness, transparency and clear strategic management.

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Year:  2007        PMID: 17508271     DOI: 10.1007/s10689-007-9125-0

Source DB:  PubMed          Journal:  Fam Cancer        ISSN: 1389-9600            Impact factor:   2.375


  5 in total

1.  Management of women with a family history of breast cancer in the North West Region of England: training for implementing a vision of the future.

Authors:  M McAllister; K O'Malley; P Hopwood; B Kerr; A Howell; D G R Evans
Journal:  J Med Genet       Date:  2002-07       Impact factor: 6.318

2.  Education improves general practitioner (GP) management of familial breast/ovarian cancer: findings from a cluster randomised controlled trial.

Authors:  E Watson; A Clements; A Lucassen; P Yudkin; J Mackay; J Austoker
Journal:  J Med Genet       Date:  2002-10       Impact factor: 6.318

Review 3.  Harnessing the potential of cancer genetics in healthcare.

Authors:  Gabriella Pichert
Journal:  Lancet Oncol       Date:  2004-10       Impact factor: 41.316

4.  Analysis of referrals to a multi-disciplinary breast cancer genetics clinic: practical and economic considerations.

Authors:  Marta M Reis; Dorothy Young; Lorna McLeish; David Goudie; Alan Cook; Frank Sullivan; Helen Vysny; Alison Fordyce; Roger Black; Manouche Tavakoli; Michael Steel
Journal:  Fam Cancer       Date:  2006-07-01       Impact factor: 2.375

5.  Impact of a cancer registry-based genealogy service to support clinical genetics services.

Authors:  David H Brewster; Alison Fordyce; Roger J Black
Journal:  Fam Cancer       Date:  2004       Impact factor: 2.375

  5 in total
  4 in total

1.  Why do women not return family history forms when referred to breast cancer genetics services? A mixed-method study.

Authors:  Kirstie A Hanning; Michael Steel; David Goudie; Lorna McLeish; Jackie Dunlop; Jessica Myring; Frank Sullivan; Jonathan Berg; Gerry Humphris; Gozde Ozakinci
Journal:  Health Expect       Date:  2014-01-05       Impact factor: 3.377

2.  Cancer family history triage: a key step in the decision to offer screening and genetic testing.

Authors:  Paul Brennan; Oonagh Claber; Tracey Brennan
Journal:  Fam Cancer       Date:  2013-09       Impact factor: 2.375

3.  Predicting breast cancer risk: implications of a "weak" family history.

Authors:  Elaine Anderson; Jonathan Berg; Roger Black; Nicola Bradshaw; Joyce Campbell; Roseanne Cetnarskyj; Sarah Drummond; Rosemarie Davidson; Jacqueline Dunlop; Alison Fordyce; Barbara Gibbons; David Goudie; Helen Gregory; Kirstie Hanning; Susan Holloway; Mark Longmuir; Lorna McLeish; Vicky Murday; Zosia Miedzybrodska; Donna Nicholson; Pauline Pearson; Mary Porteous; Marta Reis; Sheila Slater; Karen Smith; Elizabeth Smyth; Lesley Snadden; Michael Steel; Diane Stirling; Cathy Watt; Catriona Whyte; Dorothy Young
Journal:  Fam Cancer       Date:  2008-06-17       Impact factor: 2.375

4.  The meaning and measurement of implementation climate.

Authors:  Bryan J Weiner; Charles M Belden; Dawn M Bergmire; Matthew Johnston
Journal:  Implement Sci       Date:  2011-07-22       Impact factor: 7.327

  4 in total

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