scholarly journals Distributional impact of recent changes in private health insurance policies

2005 ◽  
Vol 29 (2) ◽  
pp. 167 ◽  
Author(s):  
Agnes Walker ◽  
Richard Percival ◽  
Linc Thurecht ◽  
James Pearse

The impacts of changes to private health insurance (PHI) policies introduced since 1999 ? in particular the 30% PHI rebate and the Lifetime Health Cover ? have been much debated. We present historical analyses of the impacts in terms of the proportion of Australians having hospital insurance cover under different PHI policies, by age, gender and socioeconomic status, and project these to 2010 using a new Private Health Insurance coverage model. The combined effect of the 30% rebate and Lifetime Health Cover was to increase PHI membership from just over 30% in 1998 to just under 50% by the end of 2000, due mainly to more people taking out PHI cover from among the richest 20% of the population. Among the poorest 40% the impact was minimal. Model projections suggested that, had the new PHI policies not been introduced, then the proportion of Australians with PHI would have declined to around 20% by 2010, compared with 40% if the current arrangements remained in place. Also, analysis of 2001 survey data regarding choices to use a public or a private hospital indicated that higher income groups with or without PHI were the more likely to have used a private hospital than lower income groups. Among those with PHI, older people were more likely to have used a private hospital than younger ones.

2007 ◽  
Vol 31 (2) ◽  
pp. 305 ◽  
Author(s):  
Agnes E Walker ◽  
Richard Percival ◽  
Linc Thurecht ◽  
Jim Pearse

Objective: To study the effectiveness of recent private health insurance (PHI) reforms, in particular the 30% rebate and Lifetime Health Cover, in terms of their stated aim of reducing the load on public hospitals. Methods: Combines the use of two new projection models ? ?Health Insurance? (PHI) and ?New South Wales Hospitals? that use public and private hospital inpatient data from 1996?97 to 1999?2000, and NSW population and private health insurance coverage statistics. Results: With the PHI reforms 15% fewer individuals would use public hospitals in 2010 than without these reforms (around 18% fewer among the 40% most affluent Australians and 9% among the 40% least affluent). Lower public hospital usage would mainly be due to Lifetime Health Cover. Conclusion: If the PHI reforms remain in place, in 2010 a significant proportion of hospital use would be redirected away from the public sector and towards the private sector, with the shift being greatest among better-off Australians.


2004 ◽  
Vol 27 (1) ◽  
pp. 27 ◽  
Author(s):  
Brett Shorten ◽  
Allison Shorten

The purpose of this study is to analyse the impact of changes in Australian private health insurance coverage as seen inNSW public and private hospital birth profiles, and identify trends in obstetric outcomes from 1997-2001. NSWMidwives Data Collection unit record data is analysed for women who gave birth to a live singleton baby of termgestation (=37weeks) and cephalic presentation in NSW hospitals during 1997 - 2001. Use of private hospitals forchildbirth has increased in conjunction with increases in private health insurance coverage. Although some obstetricinterventions have increased for both public and private hospitals over time, clinical factors do not explain the largedifferences in birth interventions and outcomes between NSW public and private hospitals. Incentives to increaseprivate health insurance coverage appear to be having a negative impact on childbirth, in terms of higher birthintervention and operative birth rates in NSW private hospitals.


2021 ◽  
pp. 101053952110009
Author(s):  
Nur Zahirah Balqis-Ali ◽  
Jailani Anis-Syakira ◽  
Weng Hong Fun ◽  
Sondi Sararaks

Despite various efforts introduced, private health insurance coverage is still low in Malaysia. The objective of this article is to find the factors associated with not having a private health insurance in Malaysia. We analyze data involving 19 959 respondents from the 2015 National Health Morbidity Survey. In this article, we describe the prevalence of not having health insurance and conducted binary logistic regression to identify determinants of uninsured status. A total of 56.6% of the study population was uninsured. After adjusting for other variables, the likelihood of being uninsured was higher among those aged 50 years and above, females, Malay/other Bumiputra ethnicities, rural, government/semigovernment, self-employed, unpaid workers and retirees, unemployed, lower education level, without home ownership and single/widowed/divorced, daily smoker, underweight body mass index, and current drinker. The likelihood of being uninsured also increased with increasing household size while the inversed trend was seen for household income. A substantial proportion of population in Malaysia did not have private health insurance, and these subgroups have limited preferential choices for provider, facility, and care.


2017 ◽  
Vol 180 ◽  
pp. 28-35 ◽  
Author(s):  
Kimberly Narain ◽  
Marianne Bitler ◽  
Ninez Ponce ◽  
Gerald Kominski ◽  
Susan Ettner

2018 ◽  
Vol 28 (6) ◽  
pp. 438-448 ◽  
Author(s):  
Brenda Lynch ◽  
Anthony P Fitzgerald ◽  
Paul Corcoran ◽  
Claire Buckley ◽  
Orla Healy ◽  
...  

BackgroundMany emergency admissions are deemed to be potentially avoidable in a well-performing health system.ObjectiveTo measure the impact of population and health system factors on county-level variation in potentially avoidable emergency admissions in Ireland over the period 2014–2016.MethodsAdmissions data were used to calculate 2014–2016 age-adjusted emergency admission rates for selected conditions by county of residence. Negative binomial regression was used to identify which a priori factors were significantly associated with emergency admissions for these conditions and whether these factors were also associated with total/other emergency admissions. Standardised incidence rate ratios (IRRs) associated with a 1 SD change in risk factors were reported.ResultsNationally, potentially avoidable emergency admissions for the period 2014–2016 (266 395) accounted for 22% of all emergency admissions. Of the population factors, a 1 SD change in the county-level unemployment rate was associated with a 24% higher rate of potentially avoidable emergency admissions (IRR: 1.24; 95% CI 1.04 to 1.41). Significant health system factors included emergency admissions with length of stay equal to 1 day (IRR: 1.20; 95% CI 1.11 to 1.30) and private health insurance coverage (IRR: 0.92; 95% CI 0.89 to 0.96). The full model accounted for 50% of unexplained variation in potentially avoidable emergency admissions in each county. Similar results were found across total/other emergency admissions.ConclusionThe results suggest potentially avoidable emergency admissions and total/other emergency admissions are primarily driven by socioeconomic conditions, hospital admission policy and private health insurance coverage. The distinction between potentially avoidable and all other emergency admissions may not be as useful as previously believed when attempting to identify the causes of regional variation in emergency admission rates.


Health ◽  
2010 ◽  
Vol 02 (06) ◽  
pp. 541-550 ◽  
Author(s):  
Paul A. Bourne ◽  
Maureen D. Kerr-Campbell

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