The Australasian Maternity Outcomes Surveillance System: an evaluation of stakeholder engagement, usefulness, simplicity, acceptability, data quality and stability.

Journal article

BACKGROUND: The Australasian Maternity Outcomes Surveillance System (AMOSS) conducts active, prospective surveillance of severe maternal conditions in Australia and New Zealand (ANZ). AMOSS captures greater than 96% of all births, and utilises an online, active case-based negative reporting system. AIM: To evaluate AMOSS using the United States Centres for Disease Control (MMWR 2001; 50 (RR13): 1-35.) surveillance system evaluation framework. METHODS: Data were gathered using multiple methods, including an anonymous online survey administered to 353 AMOSS data collectors, in addition to review of case data received during 2009-2011, documented records of project board and advisory group meeting minutes, publications, annual reports and the AMOSS database. RESULTS: AMOSS is a research system characterised by its simplicity and efficiency. The socio-demographic, risk factor and severe morbidity clinical data collected on rare conditions are not duplicated in other routine data systems. AMOSS is functioning well and has sustained buy-in from clinicians, stakeholders and consumers and a high level of acceptability to data collectors in ANZ maternity units. CONCLUSIONS: AMOSS is the only existing national system of surveillance for rare and severe maternal conditions in ANZ and therefore serves an important function, utilising data collected from reliable sources, in an effective, efficient and timely way.

Authors: Halliday, L; Peek, M; Ellwood, D; Homer, C; Knight, M

• Publication status: Published
• Journal: Australian and New Zealand journal of obstetrics and gynaecology
• Volume: 53
• Issue: 2
• Pages: 152-157
• Publication date: 2013-04-01
• DOI: 10.1111/ajo.12020
• EISSN: 1479-828X
• ISSN: 0004-8666
• Language: English
• Keywords: Program Evaluation; Female; Pregnancy Complications; Population Surveillance; Consumer Participation; Australia; New Zealand; Data Collection; Humans; Information Systems; Pregnancy