
Dr Lucie Ollis
Academic and research departments
School of Health Sciences, Workforce, Organisation and Wellbeing (WOW) research cluster.About
Biography
After completing my BSc Psychology at the University of the West of England in 2016, I moved to the University of Surrey to continue my interests in Health Psychology. In September 2017 I finished the MSc in Health Psychology at the University of Surrey and went on to complete my PhD in Health Psychology in October 2021. The title of my PhD was: "A Quantitative Investigation Exploring the Psychological and Physiological Aspects of Individual Resilience, Rumination and Recovery". I also completed my Stage 2 in Health Psychology to become HCPC registered. Alongside my PhD, I worked as a Research Assistant for Your Healthcare CIC, working on a variety of research projects including service users, psychologists, nurses, physios and infection control. This sparked my interest for research within the NHS and the cross over between academic research and research in healthcare organisations. An opportunity arose to work on the GoodSAM NIHR funded research project as a Research Fellow (see research section). This is now my current role and I am really enjoying working on such an exciting project!
University roles and responsibilities
- Research Fellow
My qualifications
Affiliations and memberships
ResearchResearch projects
BACKGROUND: Timely dispatch of appropriate emergency resources after traumatic incidents is critical to prevent death and improve outcomes. Dispatch priorities mostly rely on verbal 999-caller information and up to 50% air/25% road ambulance deployments are inappropriate. Video from scene is recommended but lacks evidence. GoodSAM enables video streaming to dispatchers using callers' smartphone cameras. RESEARCH QUESTION: Is it feasible to conduct a future RCT to assess the clinical and cost effectiveness of using GoodSAM to improve targeting of emergency resources? OVERALL AIM: To assess the feasibility of implementing and evaluating GoodSAM in a definitive RCT. OBJECTIVES: 1. To obtain data to design a definitive RCT (e.g. event & screening rates, effect size/precision for outcomes, health economic data) 2. To test trial processes including randomisation and data collection 3. To conduct a process evaluation to test acceptability, feasibility and outcomes of use of GoodSAM from provider and public perspectives (e.g. training, video feasibility and acceptability, psychological harm to callers and/or dispatch staff). DESIGN/SETTING: Feasibility RCT in one Emergency Operations Centre in SE England METHODS: INCLUSION: All 999 calls involving Category 1 or 2 trauma; All calls screened by Helicopter Emergency Medical Services dispatchers involving trauma. EXCLUSION: All emergencies of a suspected medical origin. RANDOMISATION: Calls in 6 observation weeks (42 days; 84 shifts) allocated 1:1 by shift. CONTROL: Standard care NHS Pathways dispatch protocol with a 999-caller (verbal only) INTERVENTION: As per control group until call handler has determined dispatch priority and ambulance dispatched without delay. GoodSAM streaming will then begin (via SMS text link) and ambulance dispatch may be adjusted. PRIMARY OUTCOME: Decision regarding feasibility of undertaking a definitive RCT based on pre-defined criteria (willingness/ability to stream footage, signal of effect; and risk of psychological harm in callers/staff). SECONDARY OUTCOMES: Speed of appropriate emergency dispatch (using time-stamped data from 999 call to appropriate deployment; appropriateness based on expert consensus criteria and using data up to 3 months post-incident), stand-down rate, missed jobs, further resources requested from scene. SAMPLE SIZE: Conservative event rate = 250 trauma incidents (125 allocated to intervention) allowing estimate of true rate within precision of +/-0.75 events/day; and of appropriateness of response with a standard error of <5%. A health economic analysis will be undertaken to inform design of a subsequent full economic evaluation. The process evaluation will include analysis of streaming usage data; observation of control room processes (e.g. fidelity to study protocol); and survey and interviews with staff and 999 callers. A sub-study in an inner-city site will examine acceptability of GoodSAM in a population with greater diversity. ANALYSIS: estimates and confidence intervals of key rates. A framework approach will be used to analyse qualitative data. TIMELINE: 18 months. IMPACT/DISSEMINATION: This study will determine if a subsequent definitive trial is feasible; and produce novel data about psychological harm associated with witnessing/viewing trauma incidents. We will disseminate findings via academic and lay outputs. If effective, GoodSAM could be scaled up nationally/used for other incidents e.g. multi-agency.
Research projects
BACKGROUND: Timely dispatch of appropriate emergency resources after traumatic incidents is critical to prevent death and improve outcomes. Dispatch priorities mostly rely on verbal 999-caller information and up to 50% air/25% road ambulance deployments are inappropriate. Video from scene is recommended but lacks evidence. GoodSAM enables video streaming to dispatchers using callers' smartphone cameras. RESEARCH QUESTION: Is it feasible to conduct a future RCT to assess the clinical and cost effectiveness of using GoodSAM to improve targeting of emergency resources? OVERALL AIM: To assess the feasibility of implementing and evaluating GoodSAM in a definitive RCT. OBJECTIVES: 1. To obtain data to design a definitive RCT (e.g. event & screening rates, effect size/precision for outcomes, health economic data) 2. To test trial processes including randomisation and data collection 3. To conduct a process evaluation to test acceptability, feasibility and outcomes of use of GoodSAM from provider and public perspectives (e.g. training, video feasibility and acceptability, psychological harm to callers and/or dispatch staff). DESIGN/SETTING: Feasibility RCT in one Emergency Operations Centre in SE England METHODS: INCLUSION: All 999 calls involving Category 1 or 2 trauma; All calls screened by Helicopter Emergency Medical Services dispatchers involving trauma. EXCLUSION: All emergencies of a suspected medical origin. RANDOMISATION: Calls in 6 observation weeks (42 days; 84 shifts) allocated 1:1 by shift. CONTROL: Standard care NHS Pathways dispatch protocol with a 999-caller (verbal only) INTERVENTION: As per control group until call handler has determined dispatch priority and ambulance dispatched without delay. GoodSAM streaming will then begin (via SMS text link) and ambulance dispatch may be adjusted. PRIMARY OUTCOME: Decision regarding feasibility of undertaking a definitive RCT based on pre-defined criteria (willingness/ability to stream footage, signal of effect; and risk of psychological harm in callers/staff). SECONDARY OUTCOMES: Speed of appropriate emergency dispatch (using time-stamped data from 999 call to appropriate deployment; appropriateness based on expert consensus criteria and using data up to 3 months post-incident), stand-down rate, missed jobs, further resources requested from scene. SAMPLE SIZE: Conservative event rate = 250 trauma incidents (125 allocated to intervention) allowing estimate of true rate within precision of +/-0.75 events/day; and of appropriateness of response with a standard error of <5%. A health economic analysis will be undertaken to inform design of a subsequent full economic evaluation. The process evaluation will include analysis of streaming usage data; observation of control room processes (e.g. fidelity to study protocol); and survey and interviews with staff and 999 callers. A sub-study in an inner-city site will examine acceptability of GoodSAM in a population with greater diversity. ANALYSIS: estimates and confidence intervals of key rates. A framework approach will be used to analyse qualitative data. TIMELINE: 18 months. IMPACT/DISSEMINATION: This study will determine if a subsequent definitive trial is feasible; and produce novel data about psychological harm associated with witnessing/viewing trauma incidents. We will disseminate findings via academic and lay outputs. If effective, GoodSAM could be scaled up nationally/used for other incidents e.g. multi-agency.
Teaching
I have previous worked as Graduate Teaching Assistant in the School of Psychology. I have previously demonstrated in lectures and assisted in running workshops on the undergraduate Cognitive Psychology module. I have also run Academic Tutorials for undergraduate students teaching them about referencing, plagiarism and other key skills for Psychology students as well as being a part of the Cognitive Psychology module for two years.
I have also been a guest lecturer on the Health Psychology MSc course where I lecture on the topic entitled "Stress Interventions and Resilience" and have lectured the Dietician Undergraduates and Nutrition MSc students on the topic of "Psychology of Health and Illness".
I completed the Graduate Certificate in Learning and Teaching in July 2020.
Publications
Ollis, L., Skene, S. S., Williams, J., Lyon, R., & Taylor, C. (2023). The SEE-IT Trial: Emergency medical services Streaming Enabled Evaluation In Trauma: study protocol for an interventional feasibility randomised controlled trial. BMJ Open, 13(4), e072877. https://doi.org/10.1136/bmjopen-2023-072877
Cropley, M., Rydstedt, L. W., Chelidoni, O., Ollis, L. & Querstret, D. (2023) Work-related rumination declines with age but is moderated by gender. Work: A Journal of Prevention, Assessment & Rehabilitation. doi: 10.3233/WOR-220288
Ollis, L., Cropley, M., Plans, D. & Cogo-Moreira, H. (2022) Disentangling change across time and true stability of employees' resilience using latent state model. BMC psychiatry, 22 (1), 1-15. https://doi.org/10.1186/s12888-022-04294-3
Ollis, L., & Shanahan, P. (2021). Stress, Psychological Distress and Organisational Support in a Health and Social Care Organisation during Covid-19: A Research Study. Journal of Nursing Management, 30 (2). https://doi.org/10.1111/jonm.13526
Murashiki, D., Ollis, L. & Shanahan, P. (2021). Which wellbeing resources are helpful in managing stress during Covid-19? Nursing Times, 117(8), 21-24. https://cdn.ps.emap.com/wp-content/uploads/sites/3/2021/07/210714-Which-wellbeing-resources-are-helpful-in-managing-stress-during-Covid-19.pdf
Shanahan, P., Ollis, L., Balla, K., Patel, R., & Long, K. (2020). Experiences of transition from children’s to adult’s healthcare services for young people with a neurodevelopmental condition. Health & Social Care in the Community, 29(5),1429-1438. https://doi.org/10.1111/hsc.13198
Ollis, L., & Gravett, K. (2020). The Emerging Landscape of Student–Staff Partnerships in Higher Education. In K. Gravett, N. Yakovchuk, & I. M. Kinchin (Eds.), Enhancing Student-Centred Teaching in Higher Education: The Landscape of Student-Staff Research Partnerships (pp. 11–27). Springer International Publishing. https://doi.org/10.1007/978-3-030-35396-4_2
Plans, D., Morelli, D., Sütterlin, S., Ollis, L., Derbyshire, G. and Cropley, M. (2019). Use of a Biofeedback Breathing App to Augment Poststress Physiological Recovery: Randomized Pilot Study. JMIR Formative Research, 3(1) https://doi.org/10.2196/12227.
Smith, K. J., Au, B., Ollis, L., & Schmitz, N. (2018). The association between C-reactive protein, interleukin-6 and depression among older adults in the community: A systematic review and meta-analysis. Experimental Gerontology, 102, 109-132. doi://doi.org/10.1016/j.exger.2017.12.005