Practice Guidelines and Private Insurers

1995 ◽  
Vol 23 (1) ◽  
pp. 57-61 ◽  
Author(s):  
Christine W. Parker

Practice guidelines are an increasingly relevant feature of health insurance. One hundred and seventy-eight million people in the United States have some form of private health insurance coverage; coverage for 150 million of them is employment-related. Traditionally, this coverage was provided by employers purchasing a group contract under which an insurance carrier provided indemnity coverage for employees—that is, the insurance company paid all usual, customary, and reasonable charges incurred by an employee for medical care, subject in some cases to an annual deductible and to a percentage of covered expenses, co-paid by the employee, for each service. In recent years, however, employers in greater numbers have switched to so-called self-insurance plans in which employees’ health care claims are paid directly by the employer (although an insurance company or other third party may be retained to administer the claim payment process).


1996 ◽  
Vol 22 (1) ◽  
pp. 51-84
Author(s):  
D'Andra Millsap

Employer-provided health insurance is the backbone of the American healthcare system. Approximately four of five workers in the United States rely on health insurance provided in the workplace. Many commentators view access to health insurance as the doorway to the entire health care system. Thus, the benefits covered in employer-provided health insurance plans significantly impact millions of Americans.While private health insurance usually covers abortion, it traditionally has not covered infertility services. Eventually, courts began interpreting insurance contracts to include infertility treatments, leading insurers to specifically exclude infertility treatments from coverage. In response, a few states have passed mandated benefit laws requiring coverage of some or all infertility services. Nonetheless, current insurance coverage of infertility services is “erratic” at best. These exclusions are significant because abortion and infertility services can be quite expensive for the millions of infertile couples seeking some sort of infertility treatment and the millions of women who have abortions each year.



2009 ◽  
Vol 76 (1) ◽  
pp. 133-157 ◽  
Author(s):  
Francis W. Ahking ◽  
Carmelo Giaccotto ◽  
Rexford E. Santerre


2021 ◽  
pp. 107755872110008
Author(s):  
Edward R. Berchick ◽  
Heide Jackson

Estimates of health insurance coverage in the United States rely on household-based surveys, and these surveys seek to improve data quality amid a changing health insurance landscape. We examine postcollection processing improvements to health insurance data in the Current Population Survey Annual Social and Economic Supplement (CPS ASEC), one of the leading sources of coverage estimates. The implementation of updated data extraction and imputation procedures in the CPS ASEC marks the second stage of a two-stage improvement and the beginning of a new time series for health insurance estimates. To evaluate these changes, we compared estimates from two files that introduce the updated processing system with two files that use the legacy system. We find that updates resulted in higher rates of health insurance coverage and lower rates of dual coverage, among other differences. These results indicate that the updated data processing improves coverage estimates and addresses previously noted limitations of the CPS ASEC.



2021 ◽  
Vol 20 (1) ◽  
Author(s):  
De-Chih Lee ◽  
Hailun Liang ◽  
Leiyu Shi

Abstract Objective This study applied the vulnerability framework and examined the combined effect of race and income on health insurance coverage in the US. Data source The household component of the US Medical Expenditure Panel Survey (MEPS-HC) of 2017 was used for the study. Study design Logistic regression models were used to estimate the associations between insurance coverage status and vulnerability measure, comparing insured with uninsured or insured for part of the year, insured for part of the year only, and uninsured only, respectively. Data collection/extraction methods We constructed a vulnerability measure that reflects the convergence of predisposing (race/ethnicity), enabling (income), and need (self-perceived health status) attributes of risk. Principal findings While income was a significant predictor of health insurance coverage (a difference of 6.1–7.2% between high- and low-income Americans), race/ethnicity was independently associated with lack of insurance. The combined effect of income and race on insurance coverage was devastating as low-income minorities with bad health had 68% less odds of being insured than high-income Whites with good health. Conclusion Results of the study could assist policymakers in targeting limited resources on subpopulations likely most in need of assistance for insurance coverage. Policymakers should target insurance coverage for the most vulnerable subpopulation, i.e., those who have low income and poor health as well as are racial/ethnic minorities.



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.



2021 ◽  
pp. 107755872110158
Author(s):  
Priyanka Anand ◽  
Dora Gicheva

This article examines how the Affordable Care Act Medicaid expansions affected the sources of health insurance coverage of undergraduate students in the United States. We show that the Affordable Care Act expansions increased the Medicaid coverage of undergraduate students by 5 to 7 percentage points more in expansion states than in nonexpansion states, resulting in 17% of undergraduate students in expansion states being covered by Medicaid postexpansion (up from 9% prior to the expansion). In contrast, the growth in employer and private direct coverage was 1 to 2 percentage points lower postexpansion for students in expansion states compared with nonexpansion states. Our findings demonstrate that policy efforts to expand Medicaid eligibility have been successful in increasing the Medicaid coverage rates for undergraduate students in the United States, but there is evidence of some crowd out after the expansions—that is, some students substituted their private and employer-sponsored coverage for Medicaid.



ILR Review ◽  
2002 ◽  
Vol 55 (4) ◽  
pp. 610-627 ◽  
Author(s):  
Thomas C. Buchmueller ◽  
John Dinardo ◽  
Robert G. Valletta

During the past two decades, union density has declined in the United States and employer provision of health benefits has changed substantially in extent and form. Using individual survey data spanning the years 1983–97 combined with employer survey data for 1993, the authors update and extend previous analyses of private-sector union effects on employer-provided health benefits. They find that the union effect on health insurance coverage rates has fallen somewhat but remains large, due to an increase over time in the union effect on employee “take-up” of offered insurance, and that declining unionization explains 20–35% of the decline in employee health coverage. The increasing union take-up effect is linked to union effects on employees' direct costs for health insurance and the availability of retiree coverage.



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.



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