Unlocking the power of population health cohort studies with biobanking in Australia.

Biobanks have great potential in advancing population health research by enabling access to biospecimens that can be linked to health data. Governments and research institutes worldwide have made large commitments to biobanking in recent years, often through combining cohort studies and biospecimen collections. We aim to explore the opportunities and challenges of establishing a population-scale biobank in Australia. Using existing longitudinal cohort studies to collect biospecimens can be an efficient way to rapidly advance research infrastructure in Australia. The 45 and Up Study is a large-scale longitudinal cohort with self-reported health, behaviour and lifestyle data, and may be one suitable candidate to include biospecimen collections to contribute to a population biobank. However, there are a number of ethical and practical issues specific to biospecimen collections, such as ensuring the privacy and rights of participants are protected, and ensuring sufficient resourcing to support infrastructure. Overcoming these challenges and bringing together diverse fields of expertise will enable us to maximise the potential of cohort studies and biobanks. In combination, these data sources can efficiently advance population health research beyond what is achievable with either of these resources separately.

Variations in outcomes for women admitted to hospital in early versus active labour: an observational study.

BACKGROUND: There is no available evidence for the prevalence of early labour admission to hospital or its association with rates of intervention and clinical outcomes in Australia. The objectives of this study were to: estimate the prevalence of early labour admission in one hospital in Australia; compare rates of clinical intervention, length of hospital stay and clinical outcomes for women admitted in early (< 4 cm cervical dilatation) or active (≥4 cm) labour; and determine the impact of recent recommendations to define early labour as < 5 cm on the findings. METHODS: We conducted a retrospective cohort study using medical record data from a random sample of 1223 women from live singleton births recorded between July 2013 and December 2015. Analyses included women who had spontaneous onset of labour at ≥37 weeks gestation whilst not a hospital inpatient, who had not scheduled a caesarean section before labour onset or delivered prior to hospital admission. Associations between timing of hospital admission in labour and clinical intervention, outcomes and hospital stay were assessed using logistic regression. RESULTS: Between 32.4% (< 4 cm) and 52.9% (< 5 cm) of eligible women (N = 697) were admitted to hospital in early labour. After adjustment for potential confounders, women admitted in early labour (< 4 cm) were more likely to have their labour augmented by oxytocin (AOR = 3.57, 95% CI 2.39-5.34), an epidural (AOR = 2.27, 95% CI 1.51-3.41), a caesarean birth (AOR = 3.50, 95% CI 2.10-5.83), more vaginal examinations (AOR = 1.73, 95% CI = 1.53-1.95), and their baby admitted to special care nursery (AOR = 1.54, 95% CI = 1.01-2.35). Defining early labour as < 5 cm cervical dilatation produced additional significant associations with artificial rupture of membranes (AOR = 1.41, 95% CI = 1.02-1.95), assisted vaginal birth (AOR = 1.96, 95% CI = 1.12-3.41) neonatal resuscitation (AOR = 1.73, 95% CI = 1.01-2.99) and longer maternal hospital stay (AOR = 1.21, 95% CI = 1.04-1.40). CONCLUSIONS: Findings provide preliminary evidence that a notable proportion of labouring women are admitted in early labour and are more likely to experience several medical procedures, neonatal resuscitation and admission to special care nursery, and longer hospital stay.

Preventive Health Behavior Change Text Message Interventions: A Meta-analysis.

CONTEXT: Existing evidence shows that text message interventions can produce short-term health behavior change. However, understanding is limited regarding intervention characteristics moderating this effect or the long-term effectiveness of text message interventions on behavior change after contact stops. EVIDENCE ACQUISITION: MEDLINE, PubMed Central, ERIC, PsycINFO, and Web of Science were searched for articles published between April 2008 and December 2014 that evaluated an intervention targeting preventive health behaviors, delivered primarily by text message. EVIDENCE SYNTHESIS: Intervention development and design characteristics and research outcomes were evaluated for 51 studies. Thirty-five studies were included in a meta-analysis (conducted in 2015) examining overall effect size and moderators of effect size. The overall pooled effect of interventions was d=0.24 (95% CI=0.16, 0.32, p<0.001) using outcome data collected most proximal to intervention cessation. Seven studies collected data following a no-intervention maintenance period and showed a small but significant pooled maintenance effect (d=0.17, 95% CI=0.03, 0.31, p=0.017, k=7). Few variables significantly moderated intervention efficacy. Interventions that did not use a theoretic basis, used supplementary intervention components, and had a duration of 6-12 months were most effective. The specific behavior being targeted was not associated with differences in efficacy nor was tailoring, targeting, or personalization of text message content. CONCLUSIONS: Text message interventions are capable of producing positive change in preventive health behaviors. Preliminary evidence indicates that these effects can be maintained after the intervention stops. The moderator analysis findings are at odds with previous research, suggesting a need to examine moderators at the behavior-specific level.