13 results on '"Glaser, Adam W."'
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2. Inconsistencies in fertility preservation for young people with cancer in the UK.
- Author
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Newton, Hannah L., Picton, Helen M., Friend, Amanda Jane, Hayden, Catherine M., Brougham, Mark, Cox, Rachel, Grandage, Victoria, Kwok-Williams, Michelle, Lane, Sheila, Mitchell, Rod Thomas, Skinner, Roderick, Wallace, W. Hamish, Yeomanson, Daniel, Glaser, Adam W., and Children’s Cancer and Leukaemia Group Late-effects Working Group
- Subjects
ONCOLOGISTS ,YOUNG adults ,FERTILITY preservation ,CANCER patients ,PEDIATRIC oncology ,SPERM banks - Abstract
Objective: To assess the utilisation of and funding structure for fertility preservation for children diagnosed with cancer in the UK.Design: Survey of paediatric oncologists/haematologists. Questionnaires were sent electronically with reminder notifications to non-responders.Setting: UK Paediatric Oncology Principal Treatment Centres (PTCs).Participants: Paediatric oncologists/haematologists with an interest in the effects of treatment on fertility representing the 20 PTCs across the UK.Main Outcome Measures: Referral practices, sources and length of funding for storage of gametes or gonadal tissue for children diagnosed with cancer in the preceding 12 months.Results: Responses were received from 18 PTCs (90%) with responses to 98.3% of questions. All centres had referred patients for fertility preservation: ovarian tissue collection/storage 100% (n=18 centres), sperm banking 100% (n=17; one centre was excluded due to the age range of their patients), testicular tissue storage 83% (n=15), mature oocyte collection 35% (n=6; one centre was excluded due to the age range of their patients). All centres with knowledge of their funding source reported sperm cryopreservation was NHS funded. Only 60% (n=9) centres reported the same for mature oocyte storage. Of the centres aware of their funding source, half reported that ovarian and testicular tissue storage was funded by charitable sources; this increased in England compared with the rest of the UK.Conclusions: Inequality exists in provision of fertility preservation for children with cancer across the UK. There is lack of formalised government funding to support international guidelines, with resultant geographical variation in care. Centralised funding of fertility preservation for children and young adults is needed alongside establishment of a national advisory panel to support all PTCs. [ABSTRACT FROM AUTHOR]- Published
- 2022
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3. Life and bladder cancer: protocol for a longitudinal and cross-sectional patient-reported outcomes study of Yorkshire (UK) patients.
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Mason, Samantha J., Downing, Amy, Wright, Penny, Bottomley, Sarah E., Winterbottom, Andrew, Glaser, Adam W., and Catto, James W. F.
- Abstract
Introduction Little is known about the impact of bladder cancer (BC) and its treatments on health-related quality of life (HRQL). To date, most work has been small in scale or restricted to subsets of patients. Life and bladder cancer is a cross-sectional and longitudinal study collecting patientreported outcomes within two distinct cohorts. Methods and analysis A longitudinal study will collect patient-reported outcomes at 3-monthly intervals from newly diagnosed patients. Eligible cases will be identified by recruiting hospitals and surveyed at baseline, 6, 9 and 12 months postdiagnosis to explore changes in outcomes over time. A separate cross-sectional cohort of patients diagnosed within the last 10 years across Yorkshire will be identified through cancer registration systems and surveyed once to explore longer-term HRQL in BC survivors. A comprehensive patient-reported outcome measure (PROM) has been developed using generic, cancer-specific and BC-specific instruments. The study will provide evidence about how useful these PROMs are in measuring BC patient HRQL. The outcome data will be linked with administrative health data (eg, treatment information from hospital data). Ethics and dissemination The study has received the following approvals: Yorkshire and the Humber-South Yorkshire Research Ethics Committee (17/YH/0095), Health Research Authority Confidentiality Advisory Group (17/ CAG/0054). Results will be made available to patients, funders, NHS Trusts, Clinical Commissioning Groups, Strategic Clinical Networks and other researchers. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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4. Patient-reported outcomes of cancer survivors in England 1-5 years after diagnosis: a cross-sectional survey.
- Author
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Glaser, Adam W., Fraser, Lorna K., Corner, Jessica, Feltbower, Richard, Morris, Eva J. A., Hartwell, Greg, and Richards, Mike
- Abstract
Objectives: To determine the feasibility of collecting population-based patient-reported outcome measures (PROMs) in assessing quality of life (QoL) to inform the development of a national PROMs programme for cancer and to begin to describe outcomes in a UK cohort of survivors. Design: Cross-sectional postal survey of cancer survivors using a population-based sampling approach. Setting: English National Health Service. Participants: 4992 breast, colorectal, prostate and non-Hodgkin's lymphoma (NHL) survivors 1-5 years from diagnosis. Primary and secondary outcome measures: Implementation issues, response rates, cancer-specific morbidities utilising items including the EQ5D, tumour-specific subscales of the Functional Assessment of Cancer Therapy and Social Difficulties Inventory. Results: 3300 (66%) survivors returned completed questionnaires. The majority aged 85+ years did not respond and the response rates were lower for those from more deprived area. Response rates did not differ by gender, time since diagnosis or cancer type. The presence of one or more long-term conditions was associated with significantly lower QoL scores. Individuals from most deprived areas reported lower QoL scores and poorer outcomes on other measures, as did those self-reporting recurrent disease or uncertainty about disease status. QoL scores were comparable at all time points for all cancers except NHL. QoL scores were lower than those from the general population in Health Survey for England (2008) and General Practice Patient Survey (2012). 47% of patients reported fear of recurrence, while 20% reported moderate or severe difficulties with mobility or usual activities. Bowel and urinary problems were common among colorectal and prostate patients. Poor bowel and bladder control were significantly associated with lower QoL. Conclusions: This method of assessing QoL of cancer survivors is feasible and acceptable to most survivors. Routine collection of national population-based PROMs will enable the identification of, and the support for, the specific needs of survivors while allowing for comparison of outcome by service provider. [ABSTRACT FROM AUTHOR]
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- 2013
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5. Melatonin in children with cancer: Unsupported claims of effectiveness are misleading families.
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Glaser, Adam W., Nicholson, James C., Polanco, Angela, and Phillips, Bob
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- 2018
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6. Corticosteroids in the management of central nervous system tumours.
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Glaser, Adam W., Buxton, Neil, and Walker, David
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- 1997
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7. Melatonin in children with cancer: Unsupported claims of effectiveness are misleading families.
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Glaser, Adam W., Nicholson, James C., Polanco, Angela, and Phillips, Bob
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MELATONIN ,DIAGNOSIS of tumors in children ,BEHAVIOR modification ,CANCER chemotherapy ,DRUG side effects ,MEDICAL quality control ,SERIAL publications ,SLEEP disorders ,SURVIVAL ,TREATMENT effectiveness ,TUMORS in children ,PROGNOSIS ,THERAPEUTICS - Published
- 2019
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8. Development and testing of a text-mining approach to analyse patients’ comments on their experiences of colorectal cancer care
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Wagland, Richard, Recio Saucedo, Alejandra, Simon, Michael, Bracher, Michael, Hunt, Katherine, Foster, Claire, Downing, Amy, Glaser, Adam W., Corner, Jessica, Wagland, Richard, Recio Saucedo, Alejandra, Simon, Michael, Bracher, Michael, Hunt, Katherine, Foster, Claire, Downing, Amy, Glaser, Adam W., and Corner, Jessica
- Abstract
Background: Quality of cancer care may greatly impact upon patients’ health-related quality of life (HRQoL). Free-text responses to patient-reported outcome measures (PROMs) provide rich data but analysis is time and resource-intensive. This study developed and tested a learning-based text-mining approach to facilitate analysis of patients’ experiences of care and develop an explanatory model illustrating impact upon HRQoL. Methods: Respondents to a population-based survey of colorectal cancer survivors provided free-text comments regarding their experience of living with and beyond cancer. An existing coding framework was tested and adapted, which informed learning-based text mining of the data. Machine-learning algorithms were trained to identify comments relating to patients’ specific experiences of service quality, which were verified by manual qualitative analysis. Comparisons between coded retrieved comments and a HRQoL measure (EQ5D) were explored. Results: The survey response rate was 63.3% (21,802/34,467), of which 25.8% (n=5634) participants provided free-text comments. Of retrieved comments on experiences of care (n=1688), over half (n=1045, 62%) described positive care experiences. Most negative experiences concerned a lack of post-treatment care (n=191, 11% of retrieved comments), and insufficient information concerning self-management strategies (n=135, 8%) or treatment side effects (n=160, 9%). Associations existed between HRQoL scores and coded algorithm-retrieved comments. Analysis indicated that the mechanism by which service quality impacted upon HRQoL was the extent to which services prevented or alleviated challenges associated with disease and treatment burdens. Conclusions: Learning-based text mining techniques were found useful and practical tools to identify specific free-text comments within a large dataset, facilitating resource-efficient qualitative analysis. This method should be considered for future PROM analysis to inform policy and p
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9. Development and testing of a text-mining approach to analyse patients’ comments on their experiences of colorectal cancer care
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Wagland, Richard, Recio Saucedo, Alejandra, Simon, Michael, Bracher, Michael, Hunt, Katherine, Foster, Claire, Downing, Amy, Glaser, Adam W., Corner, Jessica, Wagland, Richard, Recio Saucedo, Alejandra, Simon, Michael, Bracher, Michael, Hunt, Katherine, Foster, Claire, Downing, Amy, Glaser, Adam W., and Corner, Jessica
- Abstract
Background: Quality of cancer care may greatly impact upon patients’ health-related quality of life (HRQoL). Free-text responses to patient-reported outcome measures (PROMs) provide rich data but analysis is time and resource-intensive. This study developed and tested a learning-based text-mining approach to facilitate analysis of patients’ experiences of care and develop an explanatory model illustrating impact upon HRQoL. Methods: Respondents to a population-based survey of colorectal cancer survivors provided free-text comments regarding their experience of living with and beyond cancer. An existing coding framework was tested and adapted, which informed learning-based text mining of the data. Machine-learning algorithms were trained to identify comments relating to patients’ specific experiences of service quality, which were verified by manual qualitative analysis. Comparisons between coded retrieved comments and a HRQoL measure (EQ5D) were explored. Results: The survey response rate was 63.3% (21,802/34,467), of which 25.8% (n=5634) participants provided free-text comments. Of retrieved comments on experiences of care (n=1688), over half (n=1045, 62%) described positive care experiences. Most negative experiences concerned a lack of post-treatment care (n=191, 11% of retrieved comments), and insufficient information concerning self-management strategies (n=135, 8%) or treatment side effects (n=160, 9%). Associations existed between HRQoL scores and coded algorithm-retrieved comments. Analysis indicated that the mechanism by which service quality impacted upon HRQoL was the extent to which services prevented or alleviated challenges associated with disease and treatment burdens. Conclusions: Learning-based text mining techniques were found useful and practical tools to identify specific free-text comments within a large dataset, facilitating resource-efficient qualitative analysis. This method should be considered for future PROM analysis to inform policy and p
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10. Development and testing of a text-mining approach to analyse patients’ comments on their experiences of colorectal cancer care
- Author
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Wagland, Richard, Recio Saucedo, Alejandra, Simon, Michael, Bracher, Michael, Hunt, Katherine, Foster, Claire, Downing, Amy, Glaser, Adam W., Corner, Jessica, Wagland, Richard, Recio Saucedo, Alejandra, Simon, Michael, Bracher, Michael, Hunt, Katherine, Foster, Claire, Downing, Amy, Glaser, Adam W., and Corner, Jessica
- Abstract
Background: Quality of cancer care may greatly impact upon patients’ health-related quality of life (HRQoL). Free-text responses to patient-reported outcome measures (PROMs) provide rich data but analysis is time and resource-intensive. This study developed and tested a learning-based text-mining approach to facilitate analysis of patients’ experiences of care and develop an explanatory model illustrating impact upon HRQoL. Methods: Respondents to a population-based survey of colorectal cancer survivors provided free-text comments regarding their experience of living with and beyond cancer. An existing coding framework was tested and adapted, which informed learning-based text mining of the data. Machine-learning algorithms were trained to identify comments relating to patients’ specific experiences of service quality, which were verified by manual qualitative analysis. Comparisons between coded retrieved comments and a HRQoL measure (EQ5D) were explored. Results: The survey response rate was 63.3% (21,802/34,467), of which 25.8% (n=5634) participants provided free-text comments. Of retrieved comments on experiences of care (n=1688), over half (n=1045, 62%) described positive care experiences. Most negative experiences concerned a lack of post-treatment care (n=191, 11% of retrieved comments), and insufficient information concerning self-management strategies (n=135, 8%) or treatment side effects (n=160, 9%). Associations existed between HRQoL scores and coded algorithm-retrieved comments. Analysis indicated that the mechanism by which service quality impacted upon HRQoL was the extent to which services prevented or alleviated challenges associated with disease and treatment burdens. Conclusions: Learning-based text mining techniques were found useful and practical tools to identify specific free-text comments within a large dataset, facilitating resource-efficient qualitative analysis. This method should be considered for future PROM analysis to inform policy and p
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- View/download PDF
11. Development and testing of a text-mining approach to analyse patients’ comments on their experiences of colorectal cancer care
- Author
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Wagland, Richard, Recio Saucedo, Alejandra, Simon, Michael, Bracher, Michael, Hunt, Katherine, Foster, Claire, Downing, Amy, Glaser, Adam W., Corner, Jessica, Wagland, Richard, Recio Saucedo, Alejandra, Simon, Michael, Bracher, Michael, Hunt, Katherine, Foster, Claire, Downing, Amy, Glaser, Adam W., and Corner, Jessica
- Abstract
Background: Quality of cancer care may greatly impact upon patients’ health-related quality of life (HRQoL). Free-text responses to patient-reported outcome measures (PROMs) provide rich data but analysis is time and resource-intensive. This study developed and tested a learning-based text-mining approach to facilitate analysis of patients’ experiences of care and develop an explanatory model illustrating impact upon HRQoL. Methods: Respondents to a population-based survey of colorectal cancer survivors provided free-text comments regarding their experience of living with and beyond cancer. An existing coding framework was tested and adapted, which informed learning-based text mining of the data. Machine-learning algorithms were trained to identify comments relating to patients’ specific experiences of service quality, which were verified by manual qualitative analysis. Comparisons between coded retrieved comments and a HRQoL measure (EQ5D) were explored. Results: The survey response rate was 63.3% (21,802/34,467), of which 25.8% (n=5634) participants provided free-text comments. Of retrieved comments on experiences of care (n=1688), over half (n=1045, 62%) described positive care experiences. Most negative experiences concerned a lack of post-treatment care (n=191, 11% of retrieved comments), and insufficient information concerning self-management strategies (n=135, 8%) or treatment side effects (n=160, 9%). Associations existed between HRQoL scores and coded algorithm-retrieved comments. Analysis indicated that the mechanism by which service quality impacted upon HRQoL was the extent to which services prevented or alleviated challenges associated with disease and treatment burdens. Conclusions: Learning-based text mining techniques were found useful and practical tools to identify specific free-text comments within a large dataset, facilitating resource-efficient qualitative analysis. This method should be considered for future PROM analysis to inform policy and p
- Full Text
- View/download PDF
12. Development and testing of a text-mining approach to analyse patients’ comments on their experiences of colorectal cancer care
- Author
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Wagland, Richard, Recio Saucedo, Alejandra, Simon, Michael, Bracher, Michael, Hunt, Katherine, Foster, Claire, Downing, Amy, Glaser, Adam W., Corner, Jessica, Wagland, Richard, Recio Saucedo, Alejandra, Simon, Michael, Bracher, Michael, Hunt, Katherine, Foster, Claire, Downing, Amy, Glaser, Adam W., and Corner, Jessica
- Abstract
Background: Quality of cancer care may greatly impact upon patients’ health-related quality of life (HRQoL). Free-text responses to patient-reported outcome measures (PROMs) provide rich data but analysis is time and resource-intensive. This study developed and tested a learning-based text-mining approach to facilitate analysis of patients’ experiences of care and develop an explanatory model illustrating impact upon HRQoL. Methods: Respondents to a population-based survey of colorectal cancer survivors provided free-text comments regarding their experience of living with and beyond cancer. An existing coding framework was tested and adapted, which informed learning-based text mining of the data. Machine-learning algorithms were trained to identify comments relating to patients’ specific experiences of service quality, which were verified by manual qualitative analysis. Comparisons between coded retrieved comments and a HRQoL measure (EQ5D) were explored. Results: The survey response rate was 63.3% (21,802/34,467), of which 25.8% (n=5634) participants provided free-text comments. Of retrieved comments on experiences of care (n=1688), over half (n=1045, 62%) described positive care experiences. Most negative experiences concerned a lack of post-treatment care (n=191, 11% of retrieved comments), and insufficient information concerning self-management strategies (n=135, 8%) or treatment side effects (n=160, 9%). Associations existed between HRQoL scores and coded algorithm-retrieved comments. Analysis indicated that the mechanism by which service quality impacted upon HRQoL was the extent to which services prevented or alleviated challenges associated with disease and treatment burdens. Conclusions: Learning-based text mining techniques were found useful and practical tools to identify specific free-text comments within a large dataset, facilitating resource-efficient qualitative analysis. This method should be considered for future PROM analysis to inform policy and p
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13. Children in residential care; what cost?
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POLNAY, LEON, GLASER, ADAM W., DEWHURST, TONY, Polnay, L, Glaser, A W, and Dewhurst, T
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- 1997
- Full Text
- View/download PDF
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