An integrated discrete event simulation and particle swarm optimisation model for optimising efficiency of cancer diagnosis pathways

The National Health Service (NHS) constitution sets out minimum standards for rights of access of patients to NHS services. The ‘Faster Diagnosis Standard’ (FDS) states that 75% of patients should be told whether they have a diagnosis of cancer or not within 28 days of an urgent GP referral. Timely diagnosis and treatment lead to improved outcomes for cancer patients, however, compliance with these standards has recently been challenged, particularly in the context of operational pressures and resource constraints relating to the COVID-19 pandemic. In order to minimise diagnostic delays, the National Physical Laboratory in collaboration with the Royal Free London (RFL) NHS Foundation Trust address this problem by treating it as a formal resource optimisation, aiming to minimise the number of patients who breach the FDS. We use discrete event simulation and particle swarm optimisation to identify areas for improving the efficiency of cancer diagnosis at the RFL. We highlight capacity-demand mismatches in the current cancer diagnosis pathways at the RFL, including imaging and endoscopy investigations. This is due to the volume of patients requiring these investigations to meet the 28-day FDS target. We find that increasing resources in one area alone does not fully solve the problem. By looking at the system as a whole we identify areas for improvement which will have system-wide impact even though individually they do not necessarily seem significant. The outcomes and impact of this project have the potential to make a valuable impact on shaping future hospital activity

Reducing the time-lag between onset of chest pain and seeking professional medical help: a theory-based review

Background: Research suggests that there are a number of factors which can be associated with delay in a patient seeking professional help following chest pain, including demographic and social factors. These factors may have an adverse impact on the efficacy of interventions which to date have had limited success in improving patient action times. Theory-based methods of review are becoming increasingly recognised as important additions to conventional systematic review methods. They can be useful to gain additional insights into the characteristics of effective interventions by uncovering complex underlying mechanisms. Methods: This paper describes the further analysis of research papers identified in a conventional systematic review of published evidence. The aim of this work was to investigate the theoretical frameworks underpinning studies exploring the issue of why people having a heart attack delay seeking professional medical help. The study used standard review methods to identify papers meeting the inclusion criterion, and carried out a synthesis of data relating to theoretical underpinnings. Results: Thirty six papers from the 53 in the original systematic review referred to a particular theoretical perspective, or contained data which related to theoretical assumptions. The most frequently mentioned theory was the self-regulatory model of illness behaviour. Papers reported the potential significance of aspects of this model including different coping mechanisms, strategies of denial and varying models of treatment seeking. Studies also drew attention to the potential role of belief systems, applied elements of attachment theory, and referred to models of maintaining integrity, ways of knowing, and the influence of gender. Conclusions: The review highlights the need to examine an individual’s subjective experience of and response to health threats, and confirms the gap between knowledge and changed behaviour. Interventions face key challenges if they are to influence patient perceptions regarding seriousness of symptoms; varying processes of coping; and obstacles created by patient perceptions of their role and responsibilities. A theoretical approach to review of these papers provides additional insight into the assumptions underpinning interventions, and illuminates factors which may impact on their efficacy. The method thus offers a useful supplement to conventional systematic review methods

Psychosocial and behavioural determinants of the implementation of Pharmaceutical Care in Spain

Objective We aimed to gain greater understanding of the implementation of the Pharmaceutical Care (PhC) initiative in Spain. Our investigation was underpinned by Prochaska and Di Clemente’s stages of change model. We also used the A.S.E. (Attitude, Social influence and self-Efficacy) Model to identify the psychosocial determinants of this professional behaviour. Setting Spanish community pharmacists. Method A validated questionnaire was sent to all community pharmacists registered on a national database and 1,977 (10.3%) responded. The questionnaire assessed stage of change regarding the implementation of PhC and the psychosocial determinants of this professional behaviour. Data were analyzed using descriptive statistics. Kruskal–Wallis and Mann–Whitney U tests were used to compare psychosocial determinants according to stage of change. The profile of community pharmacists who had implemented PhC was identified through logistic regression analysis. Main outcome measures: attitude, social influence, self-efficacy, motivations, needs and stages of change to perform PhC. Results Some respondents (n = 228; 11.8%) had adopted PhC, and were, thus, in the action or maintenance stage. The mean A.S.E. determinants scores increased significantly by stage i.e. from “precontemplation” to “action”: attitude (0.28 vs. 0.99), social influence of people (2.61 vs. 3.07), and self-efficacy (2.74 vs. 3.61). Conversely, most needs were highlighted by precontemplators (3.66 vs. 347.). Variables significantly associated with the probability of implementing PhC were: having undertaken appropriate training (OR: 13.92; CI 95%: 5.37–36.08); self-efficacy (OR: 3.19; CI 95%: 2.38–4.28), having assistant pharmacists (OR: 1.70; CI 95%: 1.02–2.80) and positive attitude (OR: 1.03; CI 95%: 1.01–1.04). The A.S.E. determinants were the best predictors of PhC implementation according to the regression model. Conclusion The implementation of PhC among Spanish community pharmacists appears to be relatively low. Strategies to move pharmacists should be adapted to stage: focussed on emphasizing advantages at initial stages and facilitating training courses, guidelines and communication to professionals at intermediate and advanced stages