108 research outputs found

    Teaching classroom management – A potential public health intervention?

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    Author's manuscript version. The final published version is available from the publisher via: http://dx.doi.org/10.1108/HE-03-2014-0030© Emerald Group Publishing LimitedPurpose – The purpose of this paper is to explore the feasibility of a classroom management course as a public health intervention. Improved socio-emotional skills may boost children’s developmental and academic trajectory, while the costs of behaviour problems are enormous for schools with considerable impact on others’ well-being. Design/methodology/approach – In total, 40 teachers attended the Incredible Years (IY) Teacher Classroom Management (TCM) intervention in groups of ten. Afterwards teachers attended focus groups and semi-structured interviews were completed with headteachers to explore whether TCM was feasible, relevant and useful, research processes were acceptable and if it influenced teachers’ practice and pupils. Teachers completed standardised questionnaires about their professional self-efficacy, burnout and well-being before and after attendance. Findings – In all, 37/40 teachers completed the course. Teachers valued sharing experiences, the support of colleagues in the group and time out to reflect on practice and rehearse new techniques. Most teachers reported that they applied the strategies with good effect in their classrooms. Teachers’ questionnaires suggested an improvement in their self-efficacy in relation to classroom management (p=0.03); other scales changed in the predicted direction but did not reach statistical significance. Research limitations/implications – Although preliminary and small, these feasibility study findings suggest that it was worthwhile proceeding to a definitive randomised controlled trial (RCT). Practical implications – Should the RCT demonstrate effectiveness, then the intervention is an obvious candidate for implementation as a whole school approach. Originality/value – Successful intervention with one teacher potentially benefits every child that they subsequently teach and may increase the inclusion of socio-economically deprived children living in challenging circumstances in mainstream education. © Emerald Group Publishing Limited.National Institute for Health Research (NIHR

    Inequality in survival of people with head and neck cancer

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    Background: Socioeconomic inequalities in the relationship between lower socioeconomic status and circumstances with poorer survival of people with head and neck cancer have previously been described. However, the extent and nature of socioeconomic inequality in survival of people with head and neck cancer is poorly understood and explanations for these inequalities are yet to be thoroughly investigated. In particular, the underlying determinants of inequality in survival of people with head and neck cancer is yet to be explored by comparing factors that might be more modifiable with factors that might be more difficult to modify or control. In addition, no study exists from the United Kingdom (UK) that has explored socioeconomic inequality in survival of people with head and neck cancer using individual measurements of socioeconomic status, such as household income or education level, and few studies have investigated the long-term impact of inequality on survival of people with head and neck cancer beyond five-years. Finally, no studies have examined inequality in survival of people with head and neck cancer by utilising metrics of inequality. Further investigations into socioeconomic inequality in survival of people with head and neck cancer need to be conducted to describe and compare inequality with the aim to explain the underlying drivers of inequality in survival for people with head and neck cancer in the short-term, middle-term, and long-term follow-up. Aim: This thesis has the potential to shine a light on the issue of socioeconomic inequality in survival of people with head and neck cancer. This thesis aims to inform the patients, public, clinicians, and policy makers who are involved with head and neck cancer services on the magnitude of socioeconomic inequality in survival of people with head and neck cancer, and what factors can explain these inequalities. A series of epidemiological studies of existing UK cohort studies will be conducted to explore this topic from different angles with the aim to inform policy and practice to further the development and delivery of head and neck cancer services. The overall aim of this thesis is to: describe the trends in socioeconomic determinants and inequalities in survival from head and neck cancer over calendar time and follow-up time; to understand socioeconomic inequality in survival of people with head and neck cancer; and to explain the underlying determinants and explanations of socioeconomic inequality in survival of people with head and neck cancer. In addition, multiple measurements of survival will be utilised and compared, including overall survival, disease-specific survival, and net survival estimates, as well as measurements of inequality including the slope index of inequality and the relative index of inequality. Finally, both area-based measurements and individual measurements of socioeconomic status will be utilised and compared for their association with inequality in survival of people with head and neck cancer. Methods: Four studies were conducted with the aim to explore the magnitude, extent, and underlying determinants of survival and inequality in survival of people with head and neck cancer in the UK. Chapter 2 provides an overview analysis of socioeconomic determinants in survival by utilising data from the Scottish Cancer Registry of people diagnosed with head and neck cancer between 1986 to 2015. Due to the limitations around the availability of data in cancer registries, the explanations for socioeconomic inequality were not explored in this chapter and therefore, this chapter was an epidemiological analysis of the trends and magnitude of socioeconomic inequalities in survival over time. Chapter 3 analyses the determinants of survival from head and neck cancer by utilising the Scottish Audit of Head and Neck Cancer (SAHNC), a population-based clinical cohort study of people with head and neck cancer who were diagnosed between 1999 and 2001. Multiple patient, tumour, and treatment factors were examined for their predictive ability with survival, including area-based socioeconomic deprivation. Several methods of measuring survival were compared and contrasted in this chapter, including overall survival, disease-specific survival, and net survival estimates after one year, five years, and 12 years of a diagnosis of head and neck cancer. Chapter 4 also uses the SAHNC cohort and built upon Chapter 3by exploring the drivers and explanations for the socioeconomic inequality observed after one year, five years, and 12 years of a diagnosis of head and neck cancer. The patient, tumour, and treatment factors were individually examined for their relationship with socioeconomic factors with the aim of determining the underlying causes of socioeconomic inequality in survival of people with head and neck cancer. This chapter also explored these inequalities via different survival metrics–overall survival, disease-specific survival, and net survival estimates. Chapter 5 investigated the relationship of individual socioeconomic factors and explanations for these relationships using a cohort of people with head and neck cancer that were diagnosed between 2011 and 2014 in a population-based clinical cohort study in England; Head and Neck 5000 (HN5000). This part of the thesis aimed to undertake an in-depth exploration into the nature and extent of the socioeconomic inequality in survival of people with head and neck cancer by considering both area-based and individual dimensions of socioeconomic circumstances. Multiple demographic, health, behavioural, tumour, and treatment factors were considered to help understand the relationship between socioeconomic factors and head and neck cancer survival. This analysis built upon the previous chapters with multiple individual socioeconomic measurements and several additional potential explanatory factors collected as part of a more recent cohort study of people with head and neck cancer, including human papillomavirus (HPV) status. Results: As a whole, this thesis demonstrated strong and consistent socioeconomic inequalities in survival of people with head and neck cancer. These inequalities in survival of people with head and neck cancer appeared to become worse over calendar time and also across follow-up period after one year, five years, and ten years of a diagnosis of head and neck cancer (Chapter 2–Scottish Cancer Registry). Chapter 3 found that socioeconomic status was not an independent predictor of survival in a cohort of people with head and neck cancer who were diagnosed in Scotland between the years of 1999 and 2001(SAHNC), while Chapter 4 investigated the underlying factors that may explain the original inequality that was observed in overall survival, disease-specific survival, and net survival estimates(also the SAHNC). Chapter 4 highlighted that in models that were adjusted by various patient, tumour, and treatment factors, none of the factors could individually explain the socioeconomic inequality in survival alone, suggesting that socioeconomic inequality in survival of people with head and neck cancer is complex, with multiple factors having a combined effect, including background mortality in the long-term follow-up (via net survival estimates). The studies that were carried out in Chapter 2 to Chapter 4 only utilised area-based socioeconomic measurements –mainly Carstairs Deprivation Index. Chapter 5 added to this picture by exploring inequality by using both an area-based (Index of Multiple Deprivation (IMD)Category) and individual measurements of socioeconomic status including highest education level attained, number of years spent in education, annual household income, proportion of income from benefits, and financial concerns of living with or after cancer. Only data from England in the HN5000 cohort could be included in this analysis since it was not possible to pool and standardise the varying measurements of IMD (including Scottish IMD and Welsh IMD) across these countries of the UK. This study determined that inequalities were present for all of the measurements of socioeconomic status, however inequality in highest education level, number of years spent in education, and financial concerns of living with or after cancer were explained (fully attenuated) by other factors such as age and smoking status. Inequality across both annual household income and the proportion of income from benefits partly attenuated following the adjustment of all of the potential explanatory factors, however, even after full adjustment, the relationship with survival of these factors of socioeconomic status could not be fully explained by any of the potential patient, tumour, or treatment factors that were included in this study. The secondary aim of Chapter 3 was to compare methods of measuring survival via the use of overall survival, disease-specific survival, and net survival estimates. The substantial differences between these survival metrics demonstrated the overestimation of deaths that are specific to head and neck cancer when using overall survival, and the underestimation of disease-specific mortality from using death certificates when people have died only from head and neck cancer. These results suggest that people are dying of other causes that are related to their head and neck cancer but are not as a direct result of their cancer, which ultimately increases with time following diagnosis. Therefore, the use of net survival provides a good compromise to traditional methods to estimate the true burden of head and neck cancer in long-term follow-up studies. As a result, throughout Chapter 2 to Chapter 4, net survival estimates have been provided alongside overall survival and disease-specific survival results to compare and contrast the outcomes of people with head and neck cancer. However, in Chapter 5, it was not possible to utilise net survival estimations since lifetables for this time point had not yet been generated at the time of this analysis. Discussion and Conclusions: The thesis studied socioeconomic inequality in survival of people with head and neck cancer in the UK using data from three sources –the Scottish Cancer Registry, the SAHNC cohort study of people with head and neck cancer in Scotland, and the HN5000 cohort study of people with head and neck cancer in England. As a whole, this thesis reported that inequality in survival of people with head and neck cancer is a persistent problem–a problem which seems to be getting worse. Moreover, the main premise of this thesis was to further the understanding of explanatory factors of socioeconomic inequality in survival of people with head and neck cancer. Although socioeconomic inequality in survival utilising an area-based measurement of socioeconomic status was explained by various underlying factors, inequality by annual household income and the proportion of income from benefits only attenuated following the adjustment of all potential explanatory factors for patients in England. Even after full adjustment, inequality in survival by annual household income and the proportion of income from benefits could not be explained by any of the potential underlying factors that were included in this study. Therefore, further investigations considering individual measurements of patients’ income following a diagnosis of cancer should be conducted. In addition, a number of recommendations related to policy, practice, and further research were drawn. This thesis has provided a comprehensive examination of socioeconomic inequalities in survival of people with head and neck cancer –a relatively underexplored field. The research involved in-depth analyses of multiple datasets and from a number of perspectives. It has shown that inequalities in survival are substantial and are a growing problem, and has endeavoured to explore the explanatory factors. This work provides a platform through which policy and practice development, along with evaluation and research, can be based to reduce inequalities in survival and improve the outcome for people who are diagnosed with head and neck cancer

    Galaxy And Mass Assembly (GAMA): the Stellar Mass Budget by Galaxy Type

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    We report an expanded sample of visual morphological classifications from the Galaxy and Mass Assembly (GAMA) survey phase two, which now includes 7,556 objects (previously 3,727 in phase one). We define a local (z <0.06) sample and classify galaxies into E, S0-Sa, SB0-SBa, Sab-Scd, SBab-SBcd, Sd-Irr, and "little blue spheroid" types. Using these updated classifications, we derive stellar mass function fits to individual galaxy populations divided both by morphological class and more general spheroid- or disk-dominated categories with a lower mass limit of log(Mstar/Msun) = 8 (one dex below earlier morphological mass function determinations). We find that all individual morphological classes and the combined spheroid-/bulge-dominated classes are well described by single Schechter stellar mass function forms. We find that the total stellar mass densities for individual galaxy populations and for the entire galaxy population are bounded within our stellar mass limits and derive an estimated total stellar mass density of rho_star = 2.5 x 10^8 Msun Mpc^-3 h_0.7, which corresponds to an approximately 4% fraction of baryons found in stars. The mass contributions to this total stellar mass density by galaxies that are dominated by spheroidal components (E and S0-Sa classes) and by disk components (Sab-Scd and Sd-Irr classes) are approximately 70% and 30%, respectively

    Reviewing the epidemiology of head and neck cancer: definitions, trends and risk factors:definitions, trends and risk factors

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    Introduction Head and neck cancer appears to be increasing in incidence, with potential changes in aetiology proposed. This paper aims to provide a narrative overview of the epidemiological literature to describe the disease burden and trends in terms of incidence and mortality both in the UK and globally and to review the evidence on current risk factors. Methods A search was performed on multiple databases (PubMed and Epistemonikos), applying filters to identify systematic reviews and meta-analyses which investigated head and neck cancer incidence, mortality and risk factors. International and UK cancer registries and sources were searched for incidence and mortality data. Results Multiple definitions of head and neck cancer are employed in epidemiology. Globally, incidence rates have increased in recent decades, largely driven by oropharyngeal cancer. Mortality rates over the last decade have also started to rise, reflecting the disease incidence and static survival rates. Major risk factors include tobacco smoking alone and in combination with alcohol consumption, betel chewing (particularly in Southeast Asian populations) and the human papillomavirus in oropharyngeal cancer. Conclusions These epidemiological data can inform clinical and preventive service planning for head and neck cancer

    Determinants of long-term survival in a population-based cohort study of patients with head and neck cancer from Scotland

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    Background: We investigated long‐term survival from head and neck cancer (HNC) using different survival approaches. Methods: Patients were followed‐up from the Scottish Audit of Head and Neck Cancer. Overall survival and disease‐specific survival were calculated using the Kaplan–Meier method. Net survival was calculated by the Pohar‐Perme method. Mutually adjusted Cox proportional hazards models were used to determine the predictors of survival. Results: A total of 1820 patients were included in the analyses. Overall survival at 12 years was 26.3% (24.3%, 28.3%). Disease‐specific survival at 12 years was 56.9% (54.3%, 59.4%). Net survival at 12 years was 41.4% (37.6%, 45.1%). Conclusion: Determinants associated with long‐term survival included age, stage, treatment modality, WHO performance status, alcohol consumption, smoking behavior, and anatomical site. We recommend that net survival is used for long‐term outcomes for HNC patients—it disentangles other causes of death, which are overestimated in overall survival and underestimated in disease‐specific survival

    Inequality in the survival of patients with head and neck cancer in Scotland

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    Background: Socioeconomic inequalities impact on the survival of head and neck cancer patients, but there is limited understanding of the explanations of the inequality, particularly in long-term survival. Methods: Patients were recruited from the Scottish Audit of Head and Neck cancer from 1999 to 2001 and were linked to mortality data as at 30th September 2013. Socioeconomic status was determined using the area-based Carstairs 2001 index. Overall and disease-specific survival were calculated using the Kaplan-Meier method with 95% confidence intervals (CI’s) at one-, five- and 12-years. Cox proportional hazard models with 95% CIs were used to determine the explanations for the inequality in survival by all-cause mortality and disease-specific mortality with 95% CIs. Net survival at one-, five- and 12-years was also computed with 95% CIs. Results: Most patients were from the most deprived group, and were more likely to smoke, drink, have cancer of a higher stage and have a lower WHO Performance Status. A clear gradient across Carstairs fifths for unadjusted overall and disease-specific survival was observed at one-, five- and 12-years for patients with HNC. Multiple patient, tumour and treatment factors play a part in the inequality observed, particularly by five- and 12-years when the inequality could be explained in fully adjusted models. However, the inequality at one-year survival remained. The inequality in 12-year net survival was very small, suggesting that the inequality in the long-term may be partly attributable to background mortality. Conclusion: Explanations for the inequality in the survival of patients with HNC are not straightforward, and this study concludes that many factors play a part including multiple patient, tumour and treatment factors

    A literature review and survey of childhood pneumonia etiology studies: 2000-2010.

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    The Pneumonia Etiology Research for Child Health (PERCH) project is the largest multicountry etiology study of childhood pneumonia since the Board on Science and Technology in International Development studies of the 1980s. However, it is not the only recent or ongoing pneumonia etiology study, and even with seven sites, it cannot capture all epidemiologic settings in the developing world. Funding providers, researchers and policymakers rely on the best available evidence to strategically plan programs, new research directions and interventions. We aimed to describe the current landscape of recent pneumonia etiology studies in children under 5 years of age in the developed and developing world, as ascertained by a literature review of relevant studies with data since the year 2000 and a survey of researchers in the field of childhood pneumonia. We collected information on the study population, study design, case definitions, laboratory samples and methods and identified pathogens. A literature review identified 88 studies with child pneumonia etiology results. As of June 2010, our survey of researchers identified an additional 65 ongoing and recently completed child pneumonia etiology studies. This demonstrates the broad existing context into which the PERCH study must be placed. However, the landscape analysis also reveals a multiplicity of case definitions, levels of clinician involvement, facility types, specimen collection, and laboratory techniques. It reinforces the need for the standardization of methods and analyses for present and future pneumonia etiology studies in order to optimize their cumulative potential to accurately describe the microbial causes of childhood pneumonia

    Reviewing the epidemiology of head and neck cancer: definitions, trends and risk factors

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    Introduction Head and neck cancer appears to be increasing in incidence, with potential changes in aetiology proposed. This paper aims to provide a narrative overview of the epidemiological literature to describe the disease burden and trends in terms of incidence and mortality both in the UK and globally and to review the evidence on current risk factors.Methods A search was performed on multiple databases (PubMed and Epistemonikos), applying filters to identify systematic reviews and meta-analyses which investigated head and neck cancer incidence, mortality and risk factors. International and UK cancer registries and sources were searched for incidence and mortality data.Results Multiple definitions of head and neck cancer are employed in epidemiology. Globally, incidence rates have increased in recent decades, largely driven by oropharyngeal cancer. Mortality rates over the last decade have also started to rise, reflecting the disease incidence and static survival rates. Major risk factors include tobacco smoking alone and in combination with alcohol consumption, betel chewing (particularly in Southeast Asian populations) and the human papillomavirus in oropharyngeal cancer.Conclusions These epidemiological data can inform clinical and preventive service planning for head and neck cancer

    Transoral Laser or Robotic Surgery Outcomes for Oropharyngeal Carcinoma: Secondary Analysis of the PATHOS Randomized Clinical Trial

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    \ua9 2024 O\u27Hara JT et al. JAMA Otolaryngology Head &amp; Neck Surgery.Background: Transoral robotic surgery (TORS) or transoral laser microsurgery (TLM) offer excellent oncological outcomes for oropharyngeal squamous cell carcinoma caused by human papillomavirus (HPV) infection. TORS may offer greater margin clearance around tumors than TLM. Objective: To determine whether the differing energy sources used and surgical technique of TORS or TLM is associated with postoperative early swallowing function, feeding tube use, and specific factors related to quality of life. Design, Setting, and Participants: This prespecified cohort study was performed within the Postoperative Adjuvant Treatment for HPV-Positive Tumours (PATHOS) randomized clinical trial at 40 centers in the UK, Germany, France, the US, and Australia between November 1, 2015, and August 31, 2023. PATHOS trial participants with HPV-positive oropharyngeal carcinoma of stages T1 to T3 and N0 to N2b M0 (TNM7) who underwent TLM or TORS were eligible. Of 989 consecutively recruited patients on the PATHOS trial, 508 were eligible for this substudy. Exposures: The exposure of interest was TORS or TLM. Main Outcomes and Measures: Preplanned outcome measures included nasogastric tube insertion rates within 4 weeks after surgery, length of in-hospital stay following surgery, specific scales from the MD Anderson Dysphagia Inventory (MDADI), 35-item European Organization for Research and Treatment of Cancer Head and Neck Questionnaire (H&amp;N35), and 30-item Quality of Life Questionnaire (QLQ C30), water swallow test results, and videofluoroscopy scores. Results: Of the 508 patients included in the analysis (390 [76.8%] male; median age, 58.3 [IQR, 52.8-63.6] years), 195 had TLM and 313 had TORS. Nasogastric tube insertion rates were higher after TORS than TLM (85 of 189 [45.0%] vs 10 of 126 [7.9%]; adjusted odds ratio [OR], 4.41 [95% CI, 1.01-19.32]). Mean scores favored TLM with small effect sizes in all MDADI domains and the H&amp;N35 swallowing item at 4 weeks after surgery; between-group difference for the MDADI composite score was -4.89 (95% CI, -8.27 to -1.50); for the MDADI physical functioning score, -6.37 (95% CI, -10.15 to -2.59); for the MDADI global score, -10.02 (95% CI, -16.50 to -3.54); and for H&amp;N35 swallowing score, 7.24 (95% CI, 2.17-12.30). No other measures showed evidence of clinically meaningful differences. Conclusions and Relevance: In this cohort study, functional outcomes were moderately less impaired 4 weeks following TLM compared with TORS. Once the longer-term outcomes for these patients are known, these findings could aid the design and use of future head and neck-specific surgical robots. Trial Registration: ClinicalTrials.gov Identifier: NCT02215265

    Presenting symptoms and long‐term survival in head and neck cancer

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    Objectives To assess how type and number of symptoms are related to survival in patients with head and neck cancer. Design Patients were followed up for over 10 years from the Scottish Audit of Head and Neck Cancer (national cohort of head and neck cancer patients in Scotland 1999‐2001). September 2013, cohort was linked to national mortality data. First, second and third presenting symptoms were recorded at diagnosis. Setting National prospective audit—Scotland. Participants A subset of 1589 patients, from the original cohort of 1895, who had cancer arising from one of the four main subsites; larynx, oropharynx, oral cavity and hypopharynx. Main outcome measures Median survival in relation to patients’ presenting symptoms. Results A total of 1146 (72%) males and 443 (28%) females, mean age at diagnosis 64 years (13‐95). There was a significant difference in survival in relation to the number of the patient's presenting symptoms; one symptom had a median survival of 5.3 years compared with 1.1 years for three symptoms. Patients who presented with weight loss had a median survival of 0.8 years, compared to 4.2 years if they did not (P < .001). Patients who presented with hoarseness had a median survival of 5.9 years compared to 2.6 years without (P < .001). There was no significant difference in long‐term survival for patients who presented with an ulcer, compared to those that did not (P = .105). Conclusions This study highlights the importance of patients’ presenting symptoms, giving valuable information in highlighting appropriate “red flag” symptoms and subsequent treatment planning and prognosis
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