Background: The Australian Private Health Insurance Incentive (PHII) policy reforms implemented in 1997-2000 increased PHI membership in Australia by 50%. Given the higher rate of obstetric interventions in privately insured patients, the reforms may have led to an increase in surgical deliveries and deliveries with longer hospital stays. We aimed to investigate the effect of the PHII policy introduction on birth characteristics in Western Australia (WA).
Methods And Findings: All 230,276 birth admissions from January 1995 to March 2004 were identified from administrative birth and hospital data-systems held by the WA Department of Health. Average quarterly birth rates after the PHII introduction were estimated and compared with expected rates had the reforms not occurred. Rate and percentage differences (including 95% confidence intervals) were estimated separately for public and private patients, by mode of delivery, and by length of stay in hospital following birth. The PHII policy introduction was associated with a 20% (-21.4 to -19.3) decrease in public birth rates, a 51% (45.1 to 56.4) increase in private birth rates, a 5% (-5.3 to -5.1) and 8% (-8.9 to -7.9) decrease in unassisted and assisted vaginal deliveries respectively, a 5% (-5.3 to -5.1) increase in caesarean sections with labour and 10% (8.0 to 11.7) increase in caesarean sections without labour. Similarly, birth rates where the infant stayed 0-3 days in hospital following birth decreased by 20% (-21.5 to -18.5), but rates of births with >3 days in hospital increased by 15% (12.2 to 17.1).
Conclusions: Following the PHII policy implementation in Australia, births in privately insured patients, caesarean deliveries and births with longer infant hospital stays increased. The reforms may not have been beneficial for quality obstetric care in Australia or the burden of Australian hospitals.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3402394 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0041436 | PLOS |
Int J Popul Data Sci
February 2024
Manitoba Centre for Health Policy, Department of Community Health Sciences, Rady Faculty of Health Sciences, University of Manitoba.
Introduction: Using data in research often requires that the data first be de-identified, particularly in the case of health data, which often include Personal Identifiable Information (PII) and/or Personal Health Identifying Information (PHII). There are established procedures for de-identifying structured data, but de-identifying clinical notes, electronic health records, and other records that include free text data is more complex. Several different ways to achieve this are documented in the literature.
View Article and Find Full Text PDFPLoS One
November 2012
Telethon Institute for Child Health Research, Centre for Child Health Research, University of Western Australia, Perth, Western Australia, Australia.
Background: The Australian Private Health Insurance Incentive (PHII) policy reforms implemented in 1997-2000 increased PHI membership in Australia by 50%. Given the higher rate of obstetric interventions in privately insured patients, the reforms may have led to an increase in surgical deliveries and deliveries with longer hospital stays. We aimed to investigate the effect of the PHII policy introduction on birth characteristics in Western Australia (WA).
View Article and Find Full Text PDFStud Health Technol Inform
July 2010
With its primary focus on community health, the public health system focuses on intervention and prevention of disease and injury to protect entire populations. As a federation of city, county and state entities operating independently under a complicated array of local, state and federal laws, public health can best be understood as a complex adaptive system. The dynamic nature of this system and the need for public health agencies to relate and respond to numerous stimuli in terms of new regulations, changing health status, emerging threats and shifting policy, can mask the commonality of underlying business processes performed within the public health sector.
View Article and Find Full Text PDFJ Public Health Manag Pract
November 2004
All Kids Count, Public Health Informatics Institute, Task Force for Child Survival and Development, Decatur, GA 30030, USA.
The Genetic Services Branch, Maternal and Child Health Bureau of the Health Services and Resources Administration has provided funding to state health departments to integrate their newborn dried blood-spot screening programs with other early child health information systems since 1999. In 2001, All Kids Count conducted site visits to these grantees to identify and describe best practices in planning, developing, and implementing their integration projects. The site visits were organized around 9 key elements considered critical to the success of an information systems integration project: leadership, project governance, project management, stakeholder involvement, organizational and technical strategy, technical support and coordination, financial support and management, policy support and evaluation.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!