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INTRODUCTION: There is compelling evidence of significant country-level disparities where African countries, particularly South Africa, have the highest hypertension rates in the world. AIM: To develop and validate a simple risk scoring algorithm for hypertension in a large cohort (80,270) of South African men and women. METHODS: Multivariable logistic regression models were used to build our hypertension risk scoring algorithm and validated externally and internally using the standard statistical techniques. We also compared our risk scores with the results from the Framingham risk prediction model for hypertension. RESULTS: Six factors were identified as the significant correlates of hypertension: age, education, obesity, smoking, alcohol intake and exercise. A score of ≥ 25 (out of 57) for men and ≥ 35 (out of 75) for women were selected as the optimum cut-points with 82% (43%) and 83% (49%) sensitivity (specificity) for males and females, respectively in the development datasets. We estimated probabilities of developing hypertension using the Framingham risk prediction model, which were higher among those with higher scores for hypertension. CONCLUSIONS: Identifying, targeting and prioritising individuals at highest risk of hypertension will have significant impact on preventing severe cardiometabolic diseases by scaling up healthy diet and life-style factors. Our six-item risk scoring algorithm may be included as part of hypertension prevention and treatment programs by targeting older individuals with high body fat measurements who are at highest risk of developing hypertension.
Assuntos
Hipertensão , Algoritmos , Feminino , Humanos , Hipertensão/diagnóstico , Hipertensão/epidemiologia , Masculino , Obesidade/diagnóstico , Obesidade/epidemiologia , Prevalência , Fatores de Risco , África do Sul/epidemiologiaRESUMO
BACKGROUND: Australian adolescents are routinely offered HPV and dTpa (diphtheria, tetanus, pertussis) vaccines simultaneously in the secondary school vaccination program. We identified schools where HPV initiation was lower than dTpa coverage and associated school-level factors across three states. METHODS: HPV vaccination initiation rates and dTpa vaccination coverage in 2016 were calculated using vaccine databases and school enrolment data. A multivariate analysis assessed sociodemographic and school-level factors associated with HPV initiation being >5% absolute lower than dTpa coverage. RESULTS: Of 1280 schools included, the median school-level HPV initiation rate was 85% (interquartile range (IQR):75-90%) and the median dTpa coverage was 86% (IQR:75-92%). Nearly a quarter (24%) of all schools had HPV vaccination initiation >5% lower than dTpa coverage and 11 % had >10% difference. School-level factors independently associated with >5% difference were remote schools (aOR:3.5, 95% CI = 1.7-7.2) and schools in major cities (aOR:1.8, 95% CI = 1.0-3.0), small schools (aOR:3.3, 95% CI = 2.3-5.7), higher socioeconomic advantage (aOR:1.7, 95% CI = 1.1-2.6), and lower proportions of Language-background-other-than-English (aOR:1.9, 95% CI = 1.2-3.0). CONCLUSION: The results identified a quarter of schools had lower HPV than dTpa initiation coverage, which may indicate HPV vaccine hesitancy, and the difference was more likely in socioeconomically advantaged schools. As hesitancy is context specific, it is important to understand the potential drivers of hesitancy and future research needs to understand the reasons driving differential uptake.
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INTRODUCTION: The Solomon Islands, with a population of 550,000, has significant challenges in addressing non-communicable diseases, including cancer, in the face of significant economic, cultural, general awareness and health system challenges. OBJECTIVES: To summarise the existing knowledge regarding cancer in the Solomon Islands, to gather new data and make recommendations. METHODS: A literature review was undertaken and cancer data from the National Referral Hospital, Honiara were analysed and are presented. Key stakeholders were interviewed for their perspectives including areas to target for ongoing, incremental improvements. Last, a health services audit for cancer using the WHO SARA tool was undertaken. RESULTS: Breast and cervical cancer remain the first and second most commonly identified cancers in the Solomon Islands. The Solomons cancer registry is hospital based and suffers from incomplete data collection due to its passive nature, lack of resources for data entry and processing resulting in weak data which is rarely used for decision-making. The health system audit revealed system and individual reasons for delayed diagnosis or lack of cancer treatment or palliation in the Solomon Islands. Reasons included lack of patient knowledge regarding symptoms, late referrals to the National Referral Hospital and inability of health care workers to detect cancers either due to lack of skills to do so, or lack of diagnostic capabilities, and an overall lack of access to any health care, due to geographical barriers and overall national economic fragility. CONCLUSION: The Solomon Islands is challenged in preventing, diagnosing, treating and palliating cancer. Stakeholders recommend establishing specialty expertise (in the form of a cancer unit), improved registry processes and increased collaboration between the sole tertiary hospital nationwide and other Solomon health services as important targets for incremental improvement.