References
- Allaudeen, N., Schnipper, J., Orav, E., Wachter, R., & Vidyarthi, A. (2011). Inability of providers to predict unplanned readmissions. Journal of General Internal Medicine, 26, 771–776.10.1007/s11606-011-1663-3
- Alvarez, C. A., Clark, C. A., Zhang, S., Halm, E. A., Shannon, J. J., Girod, C. E., … Amarasingham, R. (2013). Predicting out of intensive care unit cardiopulmonary arrest or death using electronic medical record data. BMC Medical Informatics and Decision Making, 13, 28–29. Retrieved from http://www.biomedcentral.com/1472-6947/13/28
- Alvarez et al. (2013). BMC Medical Informatics and Decision Making, 13, 28. Retrieved from http://www.biomedcentral.com/1472-6947/13/28
- Billings, J., Dixon, J., Mijanovich, T., & Wennberg, D. (2006). Case finding for patients at risk of readmission to hospital: Development of algorithm to identify high risk patients. BMJ, 333, 327.10.1136/bmj.38870.657917.AE
- Boston, J. (2014). Child poverty in New Zealand: Why it matters and how it can be reduced. Educational Philosophy and Theory. doi:10.1080/00131857.2014.931002
- Broadhurst, K., Hall, C., Wastell, D., White, S., & Pithouse, A. (2010). Risk, instrumentalism and the humane project in social work: Identifying the informal logics of risk management in children’s statutory services. British Journal of Social Work, 40, 1046–1064.10.1093/bjsw/bcq011
- Dubowitz, H., Feigelman, S., Lane, W., & Kim, J. (2009). Pediatric primary care to help prevent child maltreatment: The Safe Environment for Every Kind (SEEK) model. Pediatrics, 123, 858–864.
- Fergusson, D. M., Horwood, L. J., & Boden, J. (2012). Early start evaluation report: Nine-year follow-up. Wellington: Ministry of Social Development.
- Gillingham, P., & Humphreys, C. (2010). Child protection practitioners and Decision-making tools: Observations and reflections from the front line. British Journal of Social Work, 40, 2598–2616.10.1093/bjsw/bcp155
- Gravelle, H., Dusheiko, M., Sheaff, R., Sargent, P., Boaden, R., Pickard, S., & Roland, M. (2007). Impact of case management (Evercare) on frail elderly patients: Controlled before and after analysis of quantitative outcome data. BMJ, 334, 31.10.1136/bmj.39020.413310.55
- Howard, K. S., & Brooks-Gunn, J. (2009). The role of home-visiting programs in preventing child abuse and neglect. The Future of Children, 19, 119–146.
- Mikton, C., & Butchart, A. (2009). Child maltreatment prevention: A systematic review of reviews. Bulletin of World Health Organ, 87, 353–361.10.2471/BLT.00.00000
- Munro, E. 2007. The dangers of information sharing. Social Policy Journal of New Zealand, 31, 41–55.
- New Zealand Government. (2012). White paper for vulnerable children: Volumes I and II. Retrieved from http://www.childrensactionplan.govt.nz/the-white-paper
- Olds, D. L., Eckenrode, J., Henderson, C. R., Jr., Kitzman, H., Powers, J., Cole, R., … Luckey, D. (1997). Long-term effects of home visitation on maternal life course and child abuse and neglect. Fifteen- year follow-up of a randomized trial. JAMA, 278, 637–643.10.1001/jama.1997.03550080047038
- Silow-Carroll, S., Jennifer Edwards, N., & Rodin, D. (2012). Using electronic health records to improve quality and efficiency: The experiences of leading hospitals. Issue Brief (Commonw Fund), 17, 1–40.
- Vaithianathan, R., Maloney, T., Jiang, N., Dare, T., de Haan, I., Dale, C., & Putnam-Hornstein, E. (2012). Vulnerable children: Can administrative data be used to identify children at risk of adverse outcomes? Ministry of Social Development, New Zealand. Retrieved from http://www.msd.govt.nz/documents/about-msd-and-our-work/publications-resources/research/vulnerable-children/auckland-university-can-administrative-data-be-used-to-identify-children-at-risk-of-adverse-outcome.pdf
- Wilson, J. M. G., & Jungner, G. (1968). Principles and practice of screening for disease. Geneva: World Health Organization. Retrieved from http://whqlibdoc.who.int/php/WHO_PHP_34.pdf