Skip to main content

Achieving behaviour change for detection of Lynch syndrome using the Theoretical Domains Framework Implementation (TDFI) approach: a study protocol

Abstract

Background

Lynch syndrome is an inherited disorder associated with a range of cancers, and found in 2–5 % of colorectal cancers. Lynch syndrome is diagnosed through a combination of significant family and clinical history and pathology. The definitive diagnostic germline test requires formal patient consent after genetic counselling. If diagnosed early, carriers of Lynch syndrome can undergo increased surveillance for cancers, which in turn can prevent late stage cancers, optimise treatment and decrease mortality for themselves and their relatives. However, over the past decade, international studies have reported that only a small proportion of individuals with suspected Lynch syndrome were referred for genetic consultation and possible genetic testing. The aim of this project is to use behaviour change theory and implementation science approaches to increase the number and speed of healthcare professional referrals of colorectal cancer patients with a high-likelihood risk of Lynch syndrome to appropriate genetic counselling services.

Methods

The six-step Theoretical Domains Framework Implementation (TDFI) approach will be used at two large, metropolitan hospitals treating colorectal cancer patients. Steps are: 1) form local multidisciplinary teams to map current referral processes; 2) identify target behaviours that may lead to increased referrals using discussion supported by a retrospective audit; 3) identify barriers to those behaviours using the validated Influences on Patient Safety Behaviours Questionnaire and TDFI guided focus groups; 4) co-design interventions to address barriers using focus groups; 5) co-implement interventions; and 6) evaluate intervention impact. Chi square analysis will be used to test the difference in the proportion of high-likelihood risk Lynch syndrome patients being referred for genetic testing before and after intervention implementation. A paired t-test will be used to assess the mean time from the pathology test results to referral for high-likelihood Lynch syndrome patients pre-post intervention. Run charts will be used to continuously monitor change in referrals over time, based on scheduled monthly audits.

Discussion

This project is based on a tested and refined implementation strategy (TDFI approach). Enhancing the process of identifying and referring people at high-likelihood risk of Lynch syndrome for genetic counselling will improve outcomes for patients and their relatives, and potentially save public money.

Peer Review reports

Background

Identification and referral of patients with a relevant clinical or family history of cancer can save the lives of those affected by hereditary cancers [1]. Lynch syndrome (LS), an inherited disorder involving many types of cancer, is found in 2–5 % of colorectal cancers (CRCs) [2, 3]. Globally, there were an estimated 1.36 million new cases of CRC in 2012, with 134,349 in the United States and 40,775 in the United Kingdom [4]. In Australia there were around 17,000 new CRC cases in 2014 and this figure is projected to rise to around 20,000 by 2020 [5]. CRC (and other cancer) patients identified as being at high risk of LS can be referred for genetic counselling to Family Cancer Clinics (FCCs) where a definitive genetic test can be undertaken with the patient’s consent. This enables carriers to engage in effective screening protocols, detect and treat cancer early, and educate relatives. Early diagnosis of LS is therefore critical since surveillance (e.g., colonoscopic) and/or risk reducing surgery for LS patients and at-risk relatives can prevent cancer, optimise medical management and reduce mortality [6, 7]. Although LS has been detected in a relatively small proportion of CRC patients (5 %), tens of thousands are believed to carry a LS gene in Australia alone, making LS an extremely underdiagnosed condition [8].

Whilst clinicians cannot be expected to have detailed knowledge about causative LS genes, current guidelines from Australia, the United States and Europe emphasise their responsibility for recognising the clinical phenotype and family history characteristics of LS, and referring patients to clinical genetics or family cancer clinics if deemed necessary [914]. Referral is required as currently in public health, the definitive diagnostic test must be ordered by a specialised FCC and requires formal patient consent after genetic counselling. However, over the past decade, local and international studies have reported that only a small proportion of individuals with suspected LS were referred for genetic consultation and possible genetic testing [8, 1518]. In particular, recent Australian evidence indicates that over half (54 %) of patients with CRC with a high likelihood of LS were not referred for genetic testing, despite indicators recommending referral [19]. Unidentified carriers remain unaware of their greater cancer risk or the need for ongoing screening. Relatives may also miss the opportunity to discover if they have LS. These delays in detecting and managing cancer may lead to significant morbidity and loss of life.

Implementation of clinical guidelines which aim to facilitate the translation of research evidence into practice require healthcare professionals to change their behaviour. Whilst behaviour change is complex, [20] emphasised by a growing field of research dedicated to understanding and improving healthcare, [21] it is entirely possible [22]. The application of behaviour change methods to design interventions, such as identifying and addressing key barriers to change, [23] can transform healthcare organisations and improve patient outcomes [23, 24]. Whilst some evidence exists for the factors affecting clinical decisions and actions for patients who may benefit from screening to detect LS, [10] the development and implementation of evidence-based interventions to address health care professionals’ barriers to referring patients with CRC with a high-likelihood of LS for genetic testing is lacking. Using approaches such as intervention co-design with key stakeholders can enhance intervention generalisability across different contexts, and the translation of effective approaches from research into practice [25].

The validated, six-step Theoretical Domains Framework Implementation (TDFI) approach [26] uses behaviour change theory and implementation science principles to identify and address key barriers to changing clinical practice. Barriers are represented by 11 domains of behaviour change, e.g., ‘knowledge’, ‘skills’, ‘social influences’, ‘emotion’, ‘environment’, ‘professional role and identity’, ‘memory, attention, decision processes’. These domains are based on theoretical constructs from multiple psychological and organisational behaviour change theories [24]. Authenticating a bottom-up strategy with senior management support, the TDFI approach takes a team of front-line health care professionals supported by behavioural scientists through a collaborative implementation process. We have successfully used this approach to demonstrate clinical, statistical and cost-effective improvements in guideline implementation (e.g., for anaesthetics, enteral feeding) across UK hospitals [20, 22, 26]. In this project we will use the validated TDFI approach in two large Australian hospitals to improve the timely identification of LS in patients with CRC. This represents an opportunity to address a known clinical problem and unmet need through the application of a behavioural change approach.

Methods/Design

Overview

We will use the TDFI approach in two large Australian metropolitan hospitals to: 1) form health care professional implementation teams and process map LS referrals; 2) conduct baseline audits of CRC surgery patients and LS genetic testing referrals to identify target behaviours for change; 3) use the validated Influences on Patient Safety Behaviours Questionnaire (IPSBQ) [20] and undertake TDF-guided focus groups with health care professionals to identify and verify referral barriers (e.g., knowledge, environment/resources, memory, emotion); 4) co-design interventions with health care professionals using evidence-based strategies to address key barriers; 5) co-implement interventions; and 6) evaluate effectiveness using audit and questionnaire data to assess practice and culture change (see Fig. 1).

Fig. 1
figure 1

The Theoretical Domains Framework Implementation Approach [26]

Recruitment

Hospital recruitment (preliminary work)

The project team secured commitment in principle from two large metropolitan Australian hospitals and associated healthcare organisations involved in the LS referral process (i.e., hospitals, Family Cancer Clinics, and pathology laboratories) whilst forming the project plan as part of a translational research funding application. This was achieved by liaising with key stakeholders (i.e., hospital oncologists, pathologists, and genetics counsellors) to identify if and how the context-specific problem could be addressed through this behaviour change implementation approach. Upon receiving notification of the funding award, the project team have confirmed hospital participation through invitations to participate and via ethics and site-specific governance procedures, which require authorising signatures from senior management at each organisation.

Staff

The process of recruiting staff to the implementation teams is described in step 1 of the procedure. Recruitment of health care professionals for self-report psychosocial measures of perceived barriers to behaviour change will use implementation team organisational networks, as described in Taylor et al. [22, 26]. All staff for whom the key behaviour is relevant (e.g., colorectal surgeons and medical oncologists, pathologists, and cancer nurses) will be targeted.

Procedure

Step 1 – Implementation team selection

We will identify, through referral and expression of interest, up to 10 multidisciplinary change agents [27] at each of the hospitals to form an implementation team that will work with investigators. The change agents will assist in: mapping and critiquing the current process; gathering audit data; introducing the project to the various components of the referral process; and identifying possible target behaviour(s) for change (e.g., methods of reporting or disseminating pathology results, use of guidelines to inform referral decisions, referral methods).

Step 2 – Audit of current practice

We will audit the following data to identify baseline evidence of current referral processes: 1) number and date of colectomy samples received from patients with CRC by each local pathology service; 2) number and date of mismatch repair (MMR) deficient tumours detected through immunohistochemistry (IHC) which are associated with LS, identified in these resected specimens; 3) number and date of referrals to the FCC for genetic counselling about testing for LS; 4a) number of patients who chose to take a genetic test, and of those patients, 4b) number diagnosed with LS, and number not diagnosed with LS (including dates of results). Details on the wording of the pathology report received by the treating health care professionals such as whether LS is mentioned and any recommendations for referral to the FCC will be noted. This information will allow the team to identify the proportion of patients with CRC with high-likelihood risk of LS, compared to the number of referrals made for genetic testing; i.e., the accuracy of referral practices (see Table 1), as well as the speed of referrals, and define the target behaviour(s) for change. This data will also be used to identify post-intervention implementation changes in referral practices and speeds.

Table 1 Matrix demonstrating the information that data collection will provide regarding accuracy of LS referral practices

Step 3 – Identification of barriers to change

The validated IPSBQ [20] will be distributed to approximately 25 health care professionals involved in the LS referral process (e.g., CRC surgeons, oncologists, pathology laboratory staff, FCCs) in each hospital, in both paper and online format. The IPSBQ will be used to assess the barriers (e.g., knowledge, environment/resources, memory, emotion) to performing the target behaviour(s) according to the domains of the TDF. Following analysis of the questionnaire data, stage 1 of TDFI-guided focus groups will be undertaken with healthcare professionals to discuss key barriers to clinical practice change in detail.

Step 4 – Development of solutions to overcome barriers

Stage 2 of the TDFI-guided focus groups will consist of project team members working with staff to devise context-relevant interventions to overcome key barriers using their expertise in evidence-based behaviour change strategies (e.g. [28, 29]) and implementation science (e.g. [30, 31]) methods. This development phase will involve consultation with our consumer networks to gain a public perspective on the intended intervention content and function.

Step 5 – Implementation of solutions

A report outlining the process, findings, and suggested interventions will be submitted to senior management in each hospital. Following authorisation for implementation, the project team, with support from the implementation team, will implement intervention strategies.

Step 6 – Evaluation

Monthly collection of pathology and referral data will be undertaken to assess the impact of interventions and to allow for refinements. Pre-post intervention data analysis will be undertaken by the project team to determine the impact of the intervention on the proportion of high-likelihood LS risk CRC patient referrals for LS testing, and speed of referrals. Post-intervention implementation the IPSBQ will be used to assess changes in perceived healthcare professional barriers to referring high-likelihood risk of LS patients for genetic testing.

Measures

Access to patient data and data collection staff

The heads of pathology for each participating site will facilitate access to retrospective and prospective pathology data for all the MMR deficient tumours identified through routine IHC testing. A senior genetic counsellor (RW) will facilitate access to referral data in the FCC database. A pathology registrar (EE) with clinical authorisation to access hospital pathology data will be responsible for undertaking this aspect of the data collection.

Identifying the proportion of high-likelihood risk patient referrals

MMR deficient tumour data will be cross-referenced against the number of CRC patient LS referrals using the FCC database. This will identify the proportion of high-likelihood risk of LS cases (denominator) compared to the number of referrals made for genetic testing (numerator).

Identifying the speed of referrals

Pre-post intervention implementation samples of high-likelihood risk of LS patients who were referred for testing will also be identified, and (where available) the calendar dates of events occurring within the referral process (e.g., tumor resection, identification of MMR deficient tumours, referral recommendation, date referral received by genetics to discuss genetic testing) will be recorded. This will allow us to determine the change in the speed of referral for genetic testing from the initial recognition of pathology test results.

Identifying health care professionals’ perceptions of barriers to referral

The validated IPSBQ [20] will be distributed to relevant health care professionals pre-post implementation through steering group members. This will allow us to identify change in the perceptions of barriers to referral.

Analysis plan

Proportion of high-likelihood LS risk patient referrals

We will use Chi square to test: a) the difference in the proportion of high-likelihood LS patients being referred for genetic testing before and after intervention implementation, and b) to detect changes in the sensitivity of the system [i.e., for the number of referrals of individuals with the genetic mutation (true positive), compared with the number of referrals made for individuals who do not have the genetic mutation (false positive)]. Throughout the course of the project, we will use run charts to continuously monitor change in referrals over time, based on the scheduled monthly audits. This will provide insights into which aspects of the implemented interventions are effective.

Speed of referrals

A paired t-test will be used to assess the mean time from the pathology test results to referral for high-likelihood LS patients before and after the intervention. Where possible, we will also assess for effects of moderators on overall outcomes, such as where pathology test results are sent, or by which type of clinician a referral is made.

Health care professional perceptions of barriers to referral

Inter-item correlations will be used to test for internal consistency of each subscale of the IPSBQ, with values above 0.15 to 0.50 being the optimal range. Criterion validity will be established by comparing mean total questionnaire scores against audited referral rates in each organisation. Multivariate analysis of variance (MANOVA) will be used to assess the difference in perceived barriers post-intervention implementation, after controlling for baseline differences.

Trial status

Data collection for this study is ongoing. Of the six-step process described above, Steps 1–3 (recruitment of implementation teams, generation of a process map, retrospective audit, and collection of the IPSBQ questionnaire) have been completed. Step 4 is underway.

Discussion

This project is based on a refined, tested collaborative implementation strategy that will be applied to identify and overcome key healthcare professional barriers to appropriately referring patients with a high-likelihood risk of hereditary cancer genes for genetic testing. It will introduce regular monitoring of LS referral practices to participating organisations, thereby increasing awareness of LS and the potential for sustained, improved referral practice. By applying and refining the tested TDFI approach, for the first time within the Australian healthcare system and with healthcare professionals to improve cancer care, we expect to improve the current rates of referral for genetic testing in New South Wales (NSW) from 46 % [19] to ensure those patients with CRC with a high likelihood of LS are rapidly identified and provided with the opportunity to have the definitive genetic test. This is expected to lead to better cancer prevention through the provision of opportunities for more frequent targeted screening, and access to surgical procedures to remove tissues and organs at higher risk of LS related cancers, [6] resulting in improved patient outcomes, including gains in years of life [32].

In addition to improved patient outcomes, by increasing the number of high-likelihood LS referrals for genetic testing, the TDFI approach may also save public money. For example, tumour testing for LS (on which referrals are based, alongside other factors such as family history) is cost effective in the UK, with all incremental cost-effectiveness ratios below the National Institute for Health and Care Excellence threshold of <£20 K(Aus$36 K) per quality adjusted life year (QALY) gained [32]. Other potential outcomes might include: improved service coordination, more effective organisational functioning, improved inter-professional collaboration and communication between health care professionals, improved health care professional job satisfaction with improved patient outcomes, reductions in crisis work with late detection and removal of life threatening cancers. Overall the outcomes of each of these advances will serve to benefit patients through improved evidence-based surveillance and faster treatment.

To disseminate the findings of the project we will develop a strategy for effectively sharing lessons and resources within and between participating organisations, and with other healthcare organisations in Australia and internationally. This might involve, for example, liaising with key local, national, and international cancer networks (e.g., translational research networks, cancer agencies including the Cancer Institute New South Wales and consumer agencies such as Lynch Syndrome Australia) to devise ways for communicating the outcomes of this work into community based and academic settings. These activities will enable interventions developed and lessons learned through this work to be shared with healthcare organisations and the wider community both within and beyond the participating hospital networks to improve referral patterns of patients with CRC with high-likelihood risk of LS.

Ethics approval and consent to participate

Ethical approval and site specific governance has been granted for this study by the South Eastern Sydney Local Health District Human Research Ethics Committee (reference: 15/103). Informed written consent has been obtained from all study participants recruited to date, and informed verbal or written consent will be obtained from all future study participants.

Abbreviations

CRC:

colorectal cancer

FCC:

Family Cancer Clinic

IHC:

immunohistochemistry

IPSBQ:

Influences on Patient Safety Behaviours Questionnaire

LS:

Lynch syndrome

MMR:

Mismatch Repair

NSW:

New South Wales

TDFI:

Theoretical Domains Framework Implementation

References

  1. Karlan BY, Berchuck A, Mutch D. The role of genetic testing for cancer susceptibility in gynecologic practice. Obstet Gynecol. 2007;110(1):155–67. doi:10.1097/01.aog.0000269050.79143.84.

    Article  CAS  PubMed  Google Scholar 

  2. Dinh TA, Rosner BI, Atwood JC, Boland CR, Syngal S, Vasen HFA, et al. Health benefits and cost-effectiveness of primary genetic screening for Lynch syndrome in the general population. Cancer Prev Res. 2011;4(1):9–22. doi:10.1158/1940-6207.capr-10-0262.

    Article  Google Scholar 

  3. Lynch H, Paulson J, Severin M, Lynch J, Lynch P. Failure to diagnose hereditary colorectal cancer and its medicolegal implications. Dis Colon Rectum. 1999;42(1):31–5. doi:10.1007/BF02235179.

    Article  CAS  PubMed  Google Scholar 

  4. International Agency for Research on Cancer. Globocan 2012: Estimated cancer incidence, mortality and prevalence worldwide in 2012. World Health Organization. 2015. http://globocan.iarc.fr/. Accessed July 2015.

  5. Australian Institute of Health and Welfare (AIHW). Cancer incidence projections: Australia, 2011 to 2020. Cancer series no. 66. Cat. No. Can 62. Canberra: AIHW; 2012.

    Google Scholar 

  6. Frayling I, Ward R. Should we consider introducing systematic screening for Lynch syndrome? Cancer Forum. 2014;38(3):229–32.

    Google Scholar 

  7. Barrow P, Khan M, Lalloo F, Evans DG, Hill J. Systematic review of the impact of registration and screening on colorectal cancer incidence and mortality in familial adenomatous polyposis and Lynch syndrome. Br J Surg. 2013;100(13):1719–31. doi:10.1002/bjs.9316.

    Article  CAS  PubMed  Google Scholar 

  8. Singh H, Schiesser R, Anand G, Richardson PA, El–Serag HB. Underdiagnosis of Lynch syndrome involves more than family history criteria. Clin Gastroenterol Hepatol. 2010;8(6):523–9. doi:10.1016/j.cgh.2010.03.010.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Gaff CL, Clarke AJ, Atkinson P, Sivell S, Elwyn G, Iredale R, et al. Process and outcome in communication of genetic information within families: A systematic review. Eur J Hum Genet. 2007;15(10):999–1011. doi:10.1038/sj.ejhg.5201883.

    Article  PubMed  Google Scholar 

  10. Tan Y, Fitzgerald L. Barriers and motivators for referral of patients with suspected Lynch syndrome to cancer genetic services: A qualitative study. J Perinat Med. 2014;4(1):20–34.

    Google Scholar 

  11. Stoffel EM, Mangu PB, Gruber SB, Hamilton SR, Kalady MF, Lau MW, et al. Hereditary colorectal cancer syndromes: American society of clinical oncology clinical practice guideline endorsement of the familial risk-colorectal cancer: European society for medical oncology clinical practice guidelines. J Clin Oncol. 2015;33(2):209–17. doi:10.1200/JCO.2014.58.1322.

    Article  PubMed  Google Scholar 

  12. Syngal S, Brand RE, Church JM, Giardiello FM, Hampel HL, Burt RW, et al. Acg clinical guideline: Genetic testing and management of hereditary gastrointestinal cancer syndromes. Am J Gastroenterol. 2015;110(2):223–62. doi:10.1038/ajg.2014.435. quiz 63.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Dekker N, Hermens RP, Mensenkamp AR, van Zelst-Stams WA, Hoogerbrugge N. Easy-to-use online referral test detects most patients with a high familial risk of colorectal cancer. Colorectal Dis. 2014;16(1):O26–34. doi:10.1111/codi.12407.

    Article  CAS  PubMed  Google Scholar 

  14. Grandval P, Fabre AJ, Gaildrat P, Baert-Desurmont S, Buisine MP, Ferrari A, et al. Umd-mlh1/msh2/msh6 databases: Description and analysis of genetic variations in French Lynch syndrome families. Database (Oxford). 2013;2013:bat036. doi:10.1093/database/bat036.

    Article  Google Scholar 

  15. Grover S, Stoffel EM, Bussone L, Tschoegl E, Syngal S. Physician assessment of family cancer history and referral for genetic evaluation in colorectal cancer patients. Clin Gastroenterol Hepatol. 2004;2(9):813–9.

    Article  PubMed  Google Scholar 

  16. Pujol P, Lyonnet DS, Frebourg T, Blin J, Picot MC, Lasset C, et al. Lack of referral for genetic counseling and testing in BRCA1/2 and Lynch syndromes: A nationwide study based on 240,134 consultations and 134,652 genetic tests. Breast Cancer Res Treat. 2013;141(1):135–44. doi:10.1007/s10549-013-2669-9.

    Article  CAS  PubMed  Google Scholar 

  17. Tan YY, McGaughran J, Ferguson K, Walsh MD, Buchanan DD, Young JP, et al. Improving identification of Lynch syndrome patients: A comparison of research data with clinical records. Int J Cancer. 2013;132(12):2876–83. doi:10.1002/ijc.27978.

    Article  CAS  PubMed  Google Scholar 

  18. Wong C, Gibbs P, Johns J, Jones I, Faragher I, Lynch E, et al. Value of database linkage: Are patients at risk of familial colorectal cancer being referred for genetic counselling and testing? Intern Med J. 2008;38(5):328–33. doi:10.1111/j.1445-5994.2007.01470.x.

    Article  CAS  PubMed  Google Scholar 

  19. Ward RL, Hicks S, Hawkins NJ. Population-based molecular screening for Lynch syndrome: Implications for personalized medicine. J Clin Oncol. 2013;31(20):2554–62. doi:10.1200/jco.2012.46.8454.

    Article  PubMed  Google Scholar 

  20. Taylor N, Parveen S, Robins V, Slater B, Lawton R. Development and initial validation of the Influences on Patient Safety Behaviours Questionnaire. Implement Sci. 2013;8:81. doi:10.1186/1748-5908-8-81.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Peters DH, Adam T, Alonge O, Agyepong IA, Tran N. Implementation research: What it is and how to do it. 2013.

    Google Scholar 

  22. Taylor N, Lawton R, Moore S, Craig J, Slater B, Cracknell A, et al. Collaborating with front-line healthcare professionals: The clinical and cost effectiveness of a theory based approach to the implementation of a national guideline. BMC Health Serv Res. 2014;14(1):1–10. doi:10.1186/s12913-014-0648-4.

    Article  Google Scholar 

  23. Cheater F, Baker R, Gillies C, Hearnshaw H, Flottorp S, Robertson N, et al. Tailored interventions to overcome identified barriers to change: Effects on professional practice and health care outcomes. Cochrane Database Syst Rev. 2009;1:1–32.

    Google Scholar 

  24. Michie S, Johnston M, Abraham C, Lawton R, Parker D, Walker A. Making psychological theory useful for implementing evidence based practice: A consensus approach. Qual Saf Health Care. 2005;14(1):26–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Leistikow IP, Kalkman CJ, Bruijn H. Why patient safety is such a tough nut to crack. BMJ. 2011;343:188–90.

    Google Scholar 

  26. Taylor N, Lawton R, Slater B, Foy R. The demonstration of a theory-based approach to the design of localized patient safety interventions. Implement Sci. 2013;8(1):123.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Lawton R, Taylor N, Clay-Williams R, Braithwaite J. Positive deviance: A different approach to achieving patient safety. BMJ Qual Saf. 2014;23(11):880–3. doi:10.1136/bmjqs-2014-003115.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Michie S, Johnston M, Francis J, Hardeman W, Eccles M. From theory to intervention: Mapping theoretically derived behavioural determinants to behaviour change techniques. Appl Psychol. 2008;57(4):660–80. doi:10.1111/j.1464-0597.2008.00341.x.

    Article  Google Scholar 

  29. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, et al. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46:81–95.

    Article  PubMed  Google Scholar 

  30. Braithwaite J, Marks D, Taylor N. Harnessing implementation science to improve care quality and patient safety: A systematic review of targeted literature. Int J Qual Health Care. 2014;26(3):321–9. doi:10.1093/intqhc/mzu047.

    Article  PubMed  Google Scholar 

  31. Grol R, Wensing M, editors. Effective implementation: A model. Improving patient care: The implementation of change in clinical practice. Oxford: Elsevier; 2005.

    Google Scholar 

  32. Snowsill T, Huxley N, Hoyle M, Jones-Hughes T, Coelho H, Cooper C, et al. A systematic review and economic evaluation of diagnostic strategies for Lynch syndrome. Health Technol Assess. 2014;18(58):1–406. doi:10.3310/hta18580.

    Article  PubMed  Google Scholar 

Download references

Funding

The project team acknowledges funding by a Cancer Challenge of the Year 2015 grant from the NSW Cancer Institute. The grant proposal underwent independent external peer review, and is administered through the Translational Cancer Research Network. NT receives no financial gain from use of her intellectual property in the TDFI training package. JB’s work is funded in part by National Health and Medical Research Council Program Grant APP1054146.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Natalie Taylor.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

NT conceived and developed the protocol and wrote the manuscript. MC, RW, SON and JB contributed to the development of the study proposal. DD, JL, ES and EE contributed to the selection of measurement indicators. All authors reviewed the paper. All authors read and approved the final manuscript.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Taylor, N., Long, J.C., Debono, D. et al. Achieving behaviour change for detection of Lynch syndrome using the Theoretical Domains Framework Implementation (TDFI) approach: a study protocol. BMC Health Serv Res 16, 89 (2016). https://doi.org/10.1186/s12913-016-1331-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12913-016-1331-8

Keywords