This study illustrated, the use of the TDI to identify relevant domains in a complex area of inpatient care. This approach is potentially valuable for selecting theories relevant to predictive studies and resulted in greater breadth of potential explanations than would be achieved if a single theoretical model had been adopted.

BackgroundEvidence of variations in red blood cell transfusion practices have been reported in a wide range of clinical settings. Parallel studies in Canada and the United Kingdom were designed to explore transfusion behaviour in intensive care physicians. The aim of this paper is three-fold: first, to explore beliefs that influence Canadian intensive care physicians’ transfusion behaviour; second, to systematically select relevant theories and models using the Theoretical Domains Framework (TDF) to inform a future predictive study; and third, to compare its results with the UK study.MethodsTen intensive care unit (ICU) physicians throughout Canada were interviewed. Physicians’ responses were coded into theoretical domains, and specific beliefs were generated for each response. Theoretical domains relevant to behaviour change were identified, and specific constructs from the relevant domains were used to select psychological theories. The results from Canada and the United Kingdom were compared.ResultsSeven theoretical domains populated by 31 specific beliefs were identified as relevant to the target behaviour. The domains Beliefs about capabilities (confident to not transfuse if patients’ clinical condition is stable), Beliefs about consequences (positive beliefs of reducing infection and saving resources and negative beliefs about risking patients’ clinical outcome and potentially more work), Social influences (transfusion decision is influenced by team members and patients’ relatives), and Behavioural regulation (wide range of approaches to encourage restrictive transfusion) that were identified in the UK study were also relevant in the Canadian context. Three additional domains, Knowledge (it requires more evidence to support restrictive transfusion), Social/professional role and identity (conflicting beliefs about not adhering to guidelines, referring to evidence, believing restrictive transfusion as professional standard, and believing that guideline is important for other professionals), and Motivation and goals (opposing beliefs about the importance of restrictive transfusion and compatibility with other goals), were also identified in this study. Similar to the UK study, the Theory of Planned Behaviour, Social Cognitive Theory, Operant Learning Theory, Action Planning, and Knowledge-Attitude-Behaviour model were identified as potentially relevant theories and models for further study. Personal project analysis was added to the Canadian study to explore the Motivation and goals domain in further detail.ConclusionsA wide range of beliefs was identified by the Canadian ICU physicians as likely to influence their transfusion behaviour. We were able to demonstrate similar though not identical results in a cross-country comparison. Designing targeted behaviour-change interventions based on unique beliefs identified by physicians from two countries are more likely to encourage restrictive transfusion in ICU physicians in respective countries. This needs to be tested in future prospective clinical trials.

Background:Older women have lower breast cancer surgery rates than younger women. UK policy states that differences in cancer treatment by age can only be justified by patient choice or poor health.Methods:We investigate whether lack of surgery for older patients is explained by patient choice/poor health in a prospective cohort study of 800 women aged ⩾70 years diagnosed with operable (stage 1–3a) breast cancer at 22 English breast cancer units in 2010–2013. Data collection: interviews and case note review. Outcome measure: surgery for operable (stage 1–3a) breast cancer <90 days of diagnosis. Logistic regression adjusts for age, health measures, tumour characteristics, socio-demographics and patient's/surgeon's perceived responsibility for treatment decisions.Results:In the univariable analyses, increasing age predicts not undergoing surgery from the age of 75 years, compared with 70–74-year-olds. Adjusting for health measures and choice, only women aged ⩾85 years have reduced odds of surgery (OR 0.18, 95% CI: 0.07–0.44). Each point increase in Activities of Daily Living score (worsening functional status) reduced the odds of surgery by over a fifth (OR 0.23, 95% CI: 0.15–0.35). Patient's role in the treatment decisions made no difference to whether they received surgery or not; those who were active/collaborative were as likely to get surgery as those who were passive, that is, left the decision up to the surgeon.Conclusion:Lower surgery rates, among older women with breast cancer, are unlikely to be due to patients actively opting out of having this treatment. However, poorer health explains the difference in surgery between 75–84-year-olds and younger women. Lack of surgery for women aged ⩾85 years persists even when health and patient choice are adjusted for.

The importance of early detection of lymphoedema by arm volume measurements before surgery and repeated measurements after surgery in women undergoing axillary node clearance (ANC) in order to enable early intervention is recognised. A prospective multi-centre study was performed which studied the difference between multi-frequency bioimpedance electrical analysis (BIS) and perometer arm measurement in predicting the development of lymphoedema. Women undergoing ANC underwent pre-operative and regular post-operative measurements of arm volume by both methods. The primary endpoint is the incidence of lymphoedema (≥10 % arm volume increase compared to contralateral arm by perometer) at 2 and 5 years after ANC. The threshold for intervention in lymphoedema was also assessed. Out of 964 patients recruited, 612 had minimum 6 months follow-up data. Using 1-month post-operative measurements as baseline, perometer detected 31 patients with lymphoedema by 6 months (BIS detected 53). By 6 months, 89 % of those with no lymphoedema reported at least one symptom. There was moderate correlation between perometer and BIS at 3 months (r = 0.40) and 6 months (r = 0.60), with a sensitivity of 73 % and specificity of 84 %. Univariate and multivariate analyses revealed a threshold for early intervention of ≥5 to <10 % (p = 0.03). Threshold for early intervention to prevent progression to lymphoedema is ≥5 to <10 % but symptoms alone do not predict lymphoedema. The modest correlation between methods at 6 months indicates arm volume measurements remain gold standard, although longer term follow-up is required.