Retesting and repeat positivity following diagnosis of Chlamydia trachomatis and Neisseria gonorrhoea in New Zealand: a retrospective cohort study
Authors: Rose SB et al.
Summary: This paper reports rates of retesting and repeat positivity 6 weeks to 6 months following diagnosis of chlamydia
or gonorrhoea between July 2012 and July 2015 in Wellington primary care and sexual health clinics. Of all 6530 cases, 1919 (29%) were retested between 6 weeks and 6 months; 347 (18%) of those retested returned positive results. In logistic regression analysis adjusted for potential confounders (age, gender, ethnicity and socioeconomic deprivation), factors associated with significantly lower odds of retesting included male gender (OR 0.4; 95% CI, 0.34 to 0.48, reference female), New Zealand Māori (OR 0.72; 95% CI, 0.61 to 0.85, reference European) and Pacific ethnicities (OR 0.49; 95% CI, 0.39 to 0.62, reference European). Factors associated with significantly higher odds of repeat positivity when retested included male gender (OR 2.0; 95% CI, 1.14 to 2.82), younger age (15–19 years, OR 1.78; 95% CI, 1.32 to 2.41, reference 20–24 years), chlamydia/gonorrhoea co-infection at the index event (OR 2.39; 95% CI, 1.32 to 4.35, reference chlamydia
only), New Zealand Māori (OR 1.6, 1.18 to 2.17, reference European) and Pacific ethnicities (OR 1.88; 95% CI, 1.22 to 2.9, reference European).
Reference: BMC Infect Dis. 2017;17(1):526
Abstract
Modelled seasonal influenza mortality shows marked differences in risk by age, sex, ethnicity and socioeconomic position in New Zealand
Authors: Khieu TQT et al.
Summary: These researchers applied modelling techniques to assess the distribution of seasonal influenza-attributable
mortality in New Zealand by ethnicity and socioeconomic status (SES). Quasi Poisson regression models were populated with weekly counts of deaths and isolates of influenza A, B and respiratory syncytial virus covering the period 1994 through 2008. SES was derived from the New Zealand Deprivation Index (NZDep). The estimated average mortality rate was 13.5 per 100,000 people, totalling 1.8% of all deaths in New Zealand. Influenza mortality differed markedly by age, sex, ethnicity and SES. Relatively vulnerable groups were males aged 65–79 years (rate ratio [RR] 1.9; 95% CI, 1.9 to 1.9, reference females), Māori (RR 3.6; 95% CI, 3.6 to 3.7, reference European/Others aged 65–79 years), Pacific (RR 2.4; 95% CI, 2.4 to 2.4, reference European/Others aged 65–79 years) and those living in the most deprived areas (RR 1.8; 95% CI, 1.3 to 2.4) for NZDep 9&10 (the most deprived) compared with NZDep 1&2 (the least deprived).
Reference: J Infect. 2017;75(3):225-33
Abstract
Mortality trends in Australian Aboriginal peoples and New Zealand Māori
Authors: Phillips B et al.
Summary: This analysis compared age-specific mortality and life expectancy (at birth) (LE) and adult all-cause mortality
rates by sex for the indigenous populations of Australia (from 1990) and New Zealand (from 1950), and for all Australia and non-Māori of New Zealand (from 1890), to 2012–2014 (where data were available in published sources and national statistical agency reports). LE improved for all populations, although the LE gap overall between indigenous Australians and all Australians has not diminished over time. From the first estimates in 1950–1952, LE for Māori initially converged with non-Māori, widened during the 1990s, and have begun to close again since then. Recent LE gaps in Australia (males 12.5; females 12.0 years in 2010–2012) were larger than in New Zealand (males 7.3; females 6.8 years in 2012–2014). Premature adult mortality (15–59 years) improved for all populations, but mortality ratios show little change since 2000, with Indigenous at 3.5–4 times that of all Australians, and Māori 2–3 times that of non-Māori. Using decomposition analysis, the study researchers identified ages 35–59 years as the age interval contributing most strongly to differences in LE between Indigenous and all Australians (2010–2012), whereas it was 60–74 years between Māori and non-Māori (2012–2014).
Reference: Population Health Metrics. 2017;15:25
Abstract