scholarly journals Testing a breast cancer prevention and a multiple disease prevention weight loss programme amongst women within the UK NHS breast screening programme—a randomised feasibility study

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Michelle Harvie ◽  
David P. French ◽  
Mary Pegington ◽  
Grace Cooper ◽  
Anthony Howell ◽  
...  

Abstract Background Excess weight and unhealthy behaviours (e.g. sedentariness, high alcohol) are common amongst women including those attending breast screening. These factors increase the risk of breast cancer and other diseases. We tested the feasibility and acceptability of a weight loss/behaviour change programme framed to reduce breast cancer risk (breast cancer prevention programme, BCPP) compared to one framed to reduce risk of breast cancer, cardiovascular disease (CVD) and diabetes (T2D) (multiple disease prevention programme, MDPP). Methods Women aged 47-73 years with overweight or obesity (n = 1356) in the NHS Breast Screening Programme (NHSBSP) were randomised (1:2) to be invited to join a BCPP or a MDPP. The BCPP included personalised information on breast cancer risk and a web and phone weight loss/behaviour change intervention. The MDPP also included an NHS Health Check (lipids, blood pressure, HbA1c and personalised feedback for risk of CVD [QRISK2] and T2D [QDiabetes and HbA1c]). Primary outcomes were uptake and retention and other feasibility outcomes which include intervention fidelity and prevalence of high CVD and T2D risk. Secondary outcomes included change in weight. Results The BCPP and MDPP had comparable rates of uptake: 45/508 (9%) vs. 81/848 (10%) and 12-month retention; 33/45 (73%) vs. 53/81 (65%). Both programmes had a high fidelity of delivery with receipt of mean (95% CI) 90 (88-98% of scheduled calls, 91 (86-95%) of scheduled e-mails and 89 (76-102) website entries per woman over the 12-month period. The MDPP identified 15% of women with a previously unknown 10-year CVD QRISK2 of ≥ 10% and 56% with 10-year Qdiabetes risk of ≥ 10%. Both groups experienced good comparable weight loss: BCPP 26/45 (58%) and MDPP 46/81 (57%) with greater than 5% weight loss at 12 months using baseline observation carried forward imputation. Conclusions Both programmes appeared feasible. The MDPP identified previously unknown CVD and T2D risk factors but does not appear to increase engagement with behaviour change beyond a standard BCPP amongst women attending breast screening. A future definitive effectiveness trial of BCPP is supported by acceptable uptake and retention, and good weight loss. Trial registration ISRCTN91372184, registered 28 September 2014.

2020 ◽  
Author(s):  
Michelle Harvie ◽  
David P French ◽  
Mary Pegington ◽  
Grace Cooper ◽  
Anthony Howell ◽  
...  

Abstract Excess weight and unhealthy behaviours (sedentariness, high alcohol and suboptimal diet) are common among women attending breast screening. These factors increase the risk of breast cancer and other diseases. We tested the feasibility and acceptability of a weight loss/ behaviour change programme framed to reduce breast cancer risk (breast cancer prevention programme, BCPP) compared to one framed to reduce risk of breast cancer, cardiovascular disease (CVD) and diabetes (T2D) (multiple disease prevention programme, MDPP). Methods Women aged 47-73 years with overweight or obesity (n=1356) in the NHS Breast Screening Programme (NHSBSP) were randomized (1:2) to be invited to join a BCPP or a MDPP. The BCPP included personalised information on individual level of breast cancer risk and a web and phone weight loss/behaviour change intervention. The MDPP also included an NHS Health Check (lipids, blood pressure, HbA1c and personalised feedback for risk of CVD [QRISK2] and T2D [QDiabetes and HbA1c]). Uptake, retention, change in weight, and potential harms (anxiety and self-rated health) were assessed, along with the numbers in the MDPP with previously unknown CVD and T2D risk.ResultsThe BCPP and MDPP had comparable rates of uptake; 45/508 (9%) vs. 81/848 (10%) 12-month retention; 33/45 (73%) vs. 53/81 (65%) and numbers (%) losing ≥5% body weight at 12 months; 26/45 (58%) vs. 46/81 (57%) with baseline observation carried forward imputation. Both groups experienced reductions in state anxiety score; BCPP (n=37) -0.7 (-4.6 to 3.2), MDPP (n=60) -3.5 (-6.7 to -0.4) and an increase in the EQ-5D-5L score; BCPP (n=40) 4.1 (0.6 to 7.6), MDPP (n=60) 7.3 (3.6 to 11.1). The MDPP identified 15% of women with a previously unknown 10 year CVD QRISK2 of ≥10% and 56% with 10-year Qdiabetes risk of ≥10%.ConclusionsThe MDPP identified previously unknown CVD and T2D risk factors but does not appear to increase engagement with behaviour change beyond a standard BCPP amongst women attending breast screening. The results suggest a definitive effectiveness trial of the BCPP intervention is warranted, with acceptable uptake and retention, and a clear weight loss signal.Trial Registration ISRCTN91372184, https://doi.org/10.1186/ISRCTN91372184, registered 28 September 2014.


2021 ◽  
Author(s):  
Jenny Liu ◽  
Peh Joo Ho ◽  
Tricia Hui Ling Tan ◽  
Yen Shing Yeoh ◽  
Ying Jia Chew ◽  
...  

Background: Routine mammography screening is currently the standard tool for finding cancers at an early stage, when treatment is most successful. Current breast screening programmes are one-size-fits-all which all women above a certain age threshold are encouraged to participate. However, breast cancer risk varies by individual. The BREAst screening Tailored for HEr (BREATHE) study aims to assess acceptability of a comprehensive risk-based personalised breast screening in Singapore. Methods/Design: Advancing beyond the current age-based screening paradigm, BREATHE integrates both genetic and non-genetic breast cancer risk prediction tools to personalise screening recommendations. BREATHE is a cohort study targeting to recruit ~3,500 women. The first recruitment visit will include questionnaires and a buccal cheek swab. After receiving a tailored breast cancer risk report, participants will attend an in-person risk review, followed by a final session assessing the acceptability of our risk stratification programme. Risk prediction is based on: a) Gail model (non-genetic), b) mammographic density and recall, c) BOADICEA predictions (breast cancer predisposition genes), and d) breast cancer polygenic risk score. Discussion: For national implementation of personalised risk-based breast screening, exploration of the acceptability within the target populace is critical, in addition to validated predication tools. To our knowledge, this is the first study to implement a comprehensive risk-based mammography screening programme in Asia. The BREATHE study will provide essential data for policy implementation which will transform the health system to deliver a better health and healthcare outcomes.


Author(s):  
Mélanie Deschasaux ◽  
Laurent Bourhis ◽  
Laurent Zelek ◽  
Eloi Chazelas ◽  
Charlotte Debras ◽  
...  

2005 ◽  
Vol 12 (4) ◽  
pp. 179-184 ◽  
Author(s):  
Gill Lawrence ◽  
Olive Kearins ◽  
Emma O'Sullivan ◽  
Nancy Tappenden ◽  
Matthew Wallis ◽  
...  

Objectives: To illustrate the ability of the West Midlands breast screening status algorithm to assign a screening status to women with malignant breast cancer, and its uses as a quality assurance and audit tool. Methods: Breast cancers diagnosed between the introduction of the National Health Service [NHS] Breast Screening Programme and 31 March 2001 were obtained from the West Midlands Cancer Intelligence Unit (WMCIU). Screen-detected tumours were identified via breast screening units, and the remaining cancers were assigned to one of eight screening status categories. Multiple primaries and recurrences were excluded. Results: A screening status was assigned to 14,680 women (96% of the cohort examined), 110 cancers were not registered at the WMCIU and the cohort included 120 screen-detected recurrences. Conclusions: The West Midlands breast screening status algorithm is a robust simple tool which can be used to derive data to evaluate the efficacy and impact of the NHS Breast Screening Programme.


Sign in / Sign up

Export Citation Format

Share Document