Tomos Robinson

Dr. Tomos Robinson


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 March 2019 in Journal of Epidemiology and Community Health
Verified
Journal Article
Open access
PDF file
TRTomos Robinson
Tomos Robinson
HBHeather Brown
Heather Brown
PNPaul Norman
Paul Norman
LFLorna K Fraser
Lorna K Fraser
BBBen Barr
Ben Barr
CBClare Bambra
Clare Bambra
Background The English health inequalities strategy (1999–2010) aimed to reduce health inequalities between the most deprived local authorities and the rest of England. The multifaceted strategy included increased investment in healthcare, the early years, education and neighbourhood renewal. The objective of this study was to investigate whether the strategy was associated with a reduction in geographical inequalities in the infant mortality rate (IMR). Methods We used segmented regression analysis to measure inequalities in the IMR between the most deprived local authorities and the rest of England before, during and after the health inequalities strategy period. Results Before the strategy was implemented (1983–1998), absolute inequalities in the IMR increased between the most deprived local authorities and the rest of England at a rate of 0.034 annually (95% CI 0.001 to 0.067). Once the strategy had been implemented (1999–2010), absolute inequalities decreased at a rate of −0.116 annually (95% CI −0.178 to −0.053). After the strategy period ended (2011–2017), absolute inequalities increased at a rate of 0.042 annually (95% CI −0.042 to 0.125). Relative inequalities also marginally decreased during the strategy period. Conclusion The English health inequalities strategy period was associated with a decline in geographical inequalities in the IMR. This research adds to the evidence base suggesting that the English health inequalities strategy was at least partially effective in reducing health inequalities, and that current austerity policies may undermine these gains.

1 December 2022 in Health Technology Assessment
Verified
Journal Article
Open access
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MNMichael Nugent
Michael Nugent
VBValerie Bryant
Valerie Bryant
CBChrissie Butcher
Chrissie Butcher
HFHolly Fisher
Holly Fisher
SGSean Gill
Sean Gill
JWJenn Walker
Jenn Walker
Background: Oral mucositis is a debilitating and painful complication of head and neck cancer irradiation that is characterised by inflammation of the mucous membranes, erythema and ulceration. Oral mucositis affects 6000 head and neck cancer patients per year in England and Wales. Current treatments have not proven to be effective. International studies suggest that low-level laser therapy may be an effective treatment. Objectives: To assess the clinical effectiveness and cost-effectiveness of low-level laser therapy in the management of oral mucositis in head and neck cancer irradiation. To identify barriers to and facilitators of implementing low-level laser therapy in routine care. Design: Placebo-controlled, individually randomised, multicentre Phase III superiority trial, with an internal pilot and health economic and qualitative process evaluations. The participants, outcome assessors and therapists were blinded. Setting: Nine NHS head and neck cancer sites in England and Wales. Participants: A total of 87 out of 380 participants were recruited who were aged ≥ 18 years and were undergoing head and neck cancer irradiation with ≥ 60 Gy. Intervention: Random allocation (1 : 1 ratio) to either low-level laser therapy or sham low-level laser therapy three times per week for the duration of irradiation. The diode laser had the following specifications: wavelength 660 nm, power output 75 mW, beam area 1.5 cm2, irradiance 50 mW/cm2, exposure time 60 seconds and fluence 3 J/cm2. There were 20–30 spots per session. Sham low-level laser therapy was delivered in an identical manner. Main outcome measure: The mean Oral Mucositis Weekly Questionnaire-Head and Neck Cancer score at 6 weeks following the start of irradiation. Higher scores indicate a worse outcome. Results: A total of 231 patients were screened and, of these, 87 were randomised (low-level laser therapy arm, n = 44; sham arm, n = 43). The mean age was 59.4 years (standard deviation 8.8 years) and 69 participants (79%) were male. The mean Oral Mucositis Weekly Questionnaire-Head and Neck Cancer score at 6 weeks was 33.2 (standard deviation 10) in the low-level laser therapy arm and 27.4 (standard deviation 13.8) in the sham arm. Limitations: The trial lacked statistical power because it did not meet the recruitment target. Staff and patients willingly participated in the trial and worked hard to make the LiTEFORM trial succeed. However, the task of introducing, embedding and sustaining new low-level laser therapy services into a complex care pathway proved challenging. Sites could deliver low-level laser therapy to only a small number of patients at a time. The administration of low-level laser therapy was viewed as straightforward, but also time-consuming and sometimes uncomfortable for both patients and staff, particularly those staff who were not used to working in a patient’s mouth. Conclusions: This trial had a robust design but lacked power to be definitive. Low-level laser therapy is relatively inexpensive. In contrast with previous trials, some patients found low-level laser therapy sessions to be difficult. The duration of low-level laser therapy sessions is, therefore, an important consideration. Clinicians experienced in oral cavity work most readily adapt to delivering low-level laser therapy, although other allied health professionals can be trained. Blinding the clinicians delivering low-level laser therapy is feasible. There are important human resource, real estate and logistical considerations for those setting up low-level laser therapy services. Future work: Further well-designed randomised controlled trials investigating low-level laser therapy in head and neck cancer irradiation are needed, with similar powered recruitment targets but addressing the recruitment challenges and logistical findings from this research. Trial registration: This trial is registered as ISRCTN14224600. Funding: This project was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 26, No. 46. See the NIHR Journals Library website for further project information.


1 February 2019 in Value in Health
Verified
Journal Article
Closed access
TRTomos Robinson
Tomos Robinson
YOYemi Oluboyede
Yemi Oluboyede

22 December 2022 in Journal of Patient-Reported Outcomes
Verified
Journal Article
Open access
PDF file
TRTomos Robinson
Tomos Robinson
YOYemi Oluboyede
Yemi Oluboyede
LVLuke Vale
Luke Vale
EOElena Olariu
Elena Olariu
Background: Previous research has shown that Roma people report worse health outcomes than the general population and suffer from a myriad of economic and social disadvantages. The objective of this study was to assess the differences in the health-related quality of life (HRQoL) between the Roma people and the Romanian general population. Methods: Two cross-sectional surveys were conducted face-to-face in 2018 and 2019 in two nationally representative samples of both the general population and Roma communities, recruited from all regions of Romania. Both samples completed the EQ-5D-5L and EQ-VAS questionnaires, as well as a range of sociodemographic questions. Coarsened Exact Matching and several different regression models were used to assess the differences in HRQoL between the two groups. Results: 2308 respondents were included in the matched sample: 1,621 general population individuals; 687 Roma people. Roma people had more problems with self-care, pain/discomfort, and anxiety/depression than the general population. They also reported a lower overall level of HRQoL than the general population of Romania, as reflected by the lower EQ-5D-5L and EQ-VAS scores. Our sensitivity analysis between Coarsened Exact Matching and other matching procedures showed consistent results across all regression models. Conclusions: In Romania, the Roma community has a lower level of HRQoL than the general population. Understanding the underlying causes of this inequality should be the focus of future research. Policies aimed at reducing the level of health inequality between the Roma and the general populations should be promoted locally.