Time intervals from first symptom to diagnosis for head and neck cancers: An analysis of linked patient reports and medical records from the UK.

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.

Effect of Opioids and Benzodiazepines on Clinical Outcomes in Patients Receiving Palliative Care: An Exploratory Analysis.

BACKGROUND: Medications for symptom management in palliative care have associated, but poorly understood, harms. Drug-related harms have important clinical implications, may impact on patients' compliance and contribute to symptoms. OBJECTIVE: To explore the longitudinal relationship between oral morphine equivalent daily dose (MEDD) and oral diazepam equivalent daily dose (DEDD) with functional, cognitive, and symptom outcomes in patients receiving palliative care. DESIGN: Secondary longitudinal analysis of cancer decedents (n = 235) was carried out from a palliative care randomized controlled trial with multiple outcome measures. At each time point, MEDD and DEDD were calculated. Multilevel modeling was used to investigate independent associations between MEDD and DEDD, and cognitive and gastrointestinal symptoms, quality of life (QoL), performance status, and survival. SETTING/SUBJECTS: Participants were recruited from a specialist palliative care program in southern Adelaide, were expected to live ≥48 hours, had pain in the previous 3 months, and a baseline Folstein Mini-Mental Status Examination score ≥25. RESULTS: Cognitive and gastrointestinal symptoms, performance status, and QoL worsened over time. In the adjusted multilevel analysis, statistically significant relationships remained between MEDD/DEDD and worsening performance status (p = 0.001), DEDD and gastrointestinal effects (p < 0.001), MEDD and QoL (p < 0.022). CONCLUSIONS: Commonly used palliative medications were associated with deteriorating performance status. The lack of association between MEDD with gastrointestinal or cognitive symptoms underlines that these associations are not inevitable with close attention. This analysis highlights the importance of including other medications as confounders when exploring medication-related harms. An understanding of the risk-benefit balance of medications is needed to maximize net benefits for patients.

A preliminary spatial analysis of diagnosed stroke disease in Osun state, Nigeria.

INTRODUCTION: There have been a number of clinical studies on diagnosed Stroke disease. However, there have been few studies on the geographical disparities for stroke. This study investigates the spatial pattern of stroke disease reflecting socio-demographic characteristics in the State. METHODS: Stroke patients' admissions for 22 years (from 1990 to 2012) were examined. Their socio-demographic characteristics were extracted from their health records and analyzed. The location of the stroke patients were categorized by Local Governments Areas (LGAs). Spatial maps were generated and produced in a Geographical Information System (GIS) environment. It involves the analysis of the distribution of stroke cases in relation to their underlying population to determine the areas of high and low density of diagnosed cases across the state. RESULTS: The result highlighted the spatial distribution of diagnosed stroke cases and also highlighted the areas of concern regarding their spatial distribution within the state. Social inequalities in stroke were persistent as incidence rates in urban areas (North) were around 3 times higher than in the rural areas (South). However, this could be due to better healthcare access in the urban areas than in the rural areas as there were disparities in the distribution of healthcare facilities involved in administering care to stroke patients in Osun State. CONCLUSION: The outcome of this study appears to indicate that spatial inequalities in the access to Stroke healthcare is a concern that needs to be addressed in order to manage the disease adequately.

Chronic Kidney Disease in Nigeria: An Evaluation of the Spatial Accessibility to Healthcare for Diagnosed Cases in Edo State.

Chronic kidney disease (CKD) is a growing problem in Nigeria, presenting challenges to the nation's health and economy. This study evaluates the accessibility to healthcare in Edo State of CKD patients diagnosed between 2006 and 2009. Using cost analysis techniques within a geographical information system, an estimated travel time to the hospital was used to examine the spatial accessibility of diagnosed patients to available CKD healthcare in the state. The results from the study indicated that although there was an annual rise in the number of diagnosed cases, there were no significant changes in the proportion of patients that were diagnosed at the last stage of CKD. However, there were indications that the travel time to the hospital for CKD treatment might be a contributing factor to the number of diagnosed CKD cases. This implies that the current structure for CKD management within the state might not be adequate.