Browsing by Author "Macleod, Una"

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    Does socio-demographic profile influence awareness of potential symptoms for lung or head and neck cancers in adults over 50?
    (2016-07-06) Walabyeki, Julie; Adamson, Joy; Buckley, Hannah; Sinclair, Helena; Whitaker, Katriina; Atkin, Karl; Graham, Hilary; Macleod, Una; Oviasu, Osaretin
    In terms of morbidity and mortality, cancer remains a significant health problem in the United Kingdom, which has led to significant interest in both patients and professionals recognising cancer symptoms. Some studies have argued that socio-demographic inequalities may be partly responsible for differences in when cancer is diagnosed and survival. This suggests the need for improved awareness of cancer symptoms to facilitate early diagnosis and better survival, especially in marginalised and disadvantaged groups. Although there is evidence of an association between socio-economic status (SES) and the awareness of general cancer symptoms by patients, no studies have examined differences in the awareness of respiratory or head and neck cancer symptoms among people who have not yet been diagnosed with cancer
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    Factors associated with stage at diagnosis in patients with head and neck cancer
    (2017-02-23) Allgar, Victoria; Oliver, Steven; Dyson, Judith; Stafford, Nicholas; Johnson, Miriam J.; Macleod, Una; Oviasu, Osaretin
    Studies have shown that diagnosis of head and neck cancer (HNC) at an advanced stage reduces the survival time compared to those diagnosed with limited disease but few have investigated the relationship of characteristics of HNC patients prior to diagnosis and stage at diagnosis. The aim of the study was to compare patients’ stage at diagnosis and their socio-demographic characteristics and experience of the pathway to diagnosis
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    Head and Neck Cancers: Time intervals from first symptom recognition to diagnosis and the relationship with stage at diagnosis
    (The Allam Lecture 2017 Cardiac imaging: The next decade, 2017-04-28) Allgar, Victoria; Oliver, Steven; Dyson, Judith; Stafford, Nicholas; Johnson, Miriam J.; Macleod, Una; Oviasu, Osaretin
    The aim of the study was to improve understanding of the intervals from first symptom recognition to diagnosis for head and Neck Cancers (HNCs) and explore their relationship with stage at diagnosis
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    Pathway to diagnosis: Lung and Head & Neck cancer patients
    (2017-09-26) Chen, Hong; Allgar, Victoria; Oliver, Steven; Dyson, Judith; Stafford, Nicholas; Johnson, Miriam J.; Macleod, Una; Oviasu, Osaretin
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    Time intervals from first symptom to diagnosis for head and neck cancers: An analysis of linked patient reports and medical records from the UK
    (Elsevier, 2019-01-10) Allgar, Victoria; Oliver, Steven E; Chen, Hong; Oviasu, Osaretin; Johnson, Miriam J; Macleod, Una
    Background: England has significantly higher mortality risks due to Head and Neck Cancer (HNC) compared with other European countries. Early diagnosis is important as it is likely to increase early-stage diagnosis and improve survival and better quality of life. This study sought to improve understanding of the intervals from first symptom recognition to diagnosis for HNC and investigate associations between patient-reported symptoms and socio-demographic factors. Methods: People within 3 months of diagnosis, completed a researcher-administered questionnaire and data were extracted from primary and secondary care clinical records. Results: Eighty (mean age 62.9 [SD 11.7] years; 66% men) were interviewed. The appraisal interval was longer than a month for 39% of participants and the help-seeking interval was longer than a week for 44%. The median diagnostic interval was 92 (IQR; 34-172) days. Appraisal intervals of > 1 month were associated with male gender, ulceration and persistent throat pain. The only symptom that associated with a help-seeking interval of > 1 week was ulceration. Participants who reported red/white patches in the mouth and ulceration were associated with a reduced likelihood of a diagnostic interval of > 3 months. A higher proportion of participants with a diagnostic interval of > 3 months were diagnosed with advanced disease (78%) than those with an interval < 3 months (68%). Conclusion: These data improve understanding of the intervals from first symptom recognition to HNC diagnosis and provide preliminary evidence to identify targets to reduce overall time to diagnosis