Evaluation of a standardised protocol to measure the disease burden of respiratory syncytial virus infection in young children in primary care.

BACKGROUND: A better understanding of the burden of respiratory syncytial virus (RSV) infections in primary care is needed for policymakers to make informed decisions regarding new preventive measures and treatments. The aim of this study was to develop and evaluate a protocol for the standardised measurement of the disease burden of RSV infection in primary care in children aged < 5 years. METHODS: The standardised protocol was evaluated in Italy and the Netherlands during the 2019/20 winter. Children aged < 5 years who consulted their primary care physician, met the WHO acute respiratory infections (ARI) case definition, and had a laboratory confirmed positive test for RSV (RT-PCR) were included. RSV symptoms were collected at the time of swabbing. Health care use, duration of symptoms and socio-economic impact was measured 14 days after swabbing. Health related Quality of life (HRQoL) was measured using the parent-proxy report of the PedsQL™4.0 generic core scales (2-4 years) and PedsQL™4.0 infant scales (0-2 years) 30 days after swabbing. The standardised protocol was evaluated in terms of the feasibility of patient recruitment, data collection procedures and whether parents understood the questions. RESULTS: Children were recruited via a network of paediatricians in Italy and a sentinel influenza surveillance network of general practitioners in the Netherlands. In Italy and the Netherlands, 293 and 152 children were swabbed respectively, 119 and 32 tested RSV positive; for 119 and 12 children the Day-14 questionnaire was completed and for 116 and 11 the Day-30 questionnaire. In Italy, 33% of the children had persistent symptoms after 14 days and in the Netherlands this figure was 67%. Parents had no problems completing questions concerning health care use, duration of symptoms and socio-economic impact, however, they had some difficulties scoring the HRQoL of their young children. CONCLUSION: RSV symptoms are common after 14 days, and therefore, measuring disease burden outcomes like health care use, duration of symptoms, and socio-economic impact is also recommended at Day-30. The standardised protocol is suitable to measure the clinical and socio-economic disease burden of RSV in young children in primary care.

Prevalence of non-specific health symptoms in livestock dense areas: Looking beyond respiratory conditions.

The aim of this study was to gain more insight in the association between prevalence of diverse acute non-specific symptoms (NSS) and livestock density as a possible risk factor among residents of livestock-dense and non-dense regions, taking into account socio-demographic factors and psychological morbidity. Prevalence of NSS and psychological morbidity were assessed for the year 2017, based on electronic health records from 39 general practices in the Netherlands. The study group consisted of people who lived in rural areas with high numbers of livestock (n = 74093), while the control group included people in rural areas with low numbers of livestock (n = 50139). For a large portion of the study group, exposure estimates (to livestock) were calculated. Multiple logistic multilevel regression analyses were performed. Two methods were used: 1) area comparisons between study and control areas in relation to health problems, and 2) estimates of livestock exposure (to goats, poultry, pigs, and cattle) within the study area. It was found that prevalence of diarrhea, headache, sleep disturbance, respiratory symptoms, and skin problems were higher in the study group. The data suggest that there may be a protective effect of livestock exposure: in general, there was a lower risk of NSS closer to livestock (within the exposure analyses). The study suggests that the previously identified higher risk of respiratory health problems in livestock dense areas might also apply to the prevalence of various other NSS. Longitudinal research taking into account different or more individual and contextual characteristics could possibly elucidate why prevalence of NSS in closer proximity to livestock is lower compared to people who live further away, whilst a more overarching analysis indicated that living in livestock dense areas was associated with more NSS.

Psychiatric epidemiology and disaster exposure in Australia.

AIMS: To examine the lifetime prevalence and risk of psychiatric disorders associated with natural and man-made disaster exposure in Australia. METHODS: We utilised data from a nationally representative population survey (N = 8841) which were analysed through univariate and multivariate logistic regression in order to examine the full spectrum of Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) affective, anxiety and substance use disorders associated with exposure to natural and man-made disaster. RESULTS: Man-made disaster exposure was primarily associated with an increased lifetime risk (odds ratio (95% CI)) of alcohol abuse disorder 2.29 (1.56-3.37), post-traumatic stress disorder (PTSD) 2.27 (1.36-3.79), obsessive-compulsive disorder (OCD) 1.95 (1.08-3.51) and major depressive disorder 1.69 (1.01-2.85). Multiple natural disaster exposure was associated with an increased lifetime risk of panic disorder 2.26 (1.11-4.61). Among the broader disorder spectrum examined, alcohol abuse disorder accounted for the single greatest increase in lifetime disorder prevalence associated with man-made disaster exposure, and the greatest number of natural or man-made disaster exposed individuals who had developed a lifetime psychiatric disorder. Despite the relatively greater disorder risk associated with man-made disaster, natural disaster exposure was associated with more cases of psychiatric disorder, likely due to the frequency with which these events occur in Australia. CONCLUSIONS: Notwithstanding the inability to draw causal inferences from cross-sectional survey data, population-based analyses provide a comprehensive and consistent method to ascertain the population imprint of psychiatric disorder and disaster exposure. Mental health policy and services should be targeting a range of psychiatric disorders in disaster contexts in addition to the usual focus on PTSD and depression, including alcohol abuse, panic disorder and OCD. Despite the relatively greater disorder risk associated with man-made disaster exposure, the national burden of psychiatric disorder in natural disaster contexts is particularly high.