Comparison of public/private health care insurance parameters for independent psychological practice.

2010 ◽  
Vol 41 (4) ◽  
pp. 319-324
Author(s):  
Philip G. Gasquoine
Keyword(s):  
Health Care ◽  
Health Care Insurance ◽  
Private Health Care ◽  
Psychological Practice

scholarly journals Comparison of Access to Eye Care Appointments Between Patients With Medicaid and Those With Private Health Care Insurance

2018 ◽  
Vol 136 (6) ◽  
pp. 622 ◽  
Author(s):  
Yoon H. Lee ◽  
Andrew X. Chen ◽  
Varshini Varadaraj ◽  
Gloria H. Hong ◽  
Yimin Chen ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Insurance ◽  
Private Health Care ◽  
Eye Care

scholarly journals Human Rights, Civil Rights: Prescribing Disability Discrimination Prevention in Packaging Essential Health Benefits

2013 ◽  
Vol 41 (4) ◽  
pp. 781-791 ◽  
Author(s):  
Anita Silvers ◽  
Leslie Francis
Keyword(s):  
Health Care ◽  
Civil Rights ◽  
Age Groups ◽  
Health Care Insurance ◽  
Private Health Care ◽  
Persons With Disabilities ◽  
Private And Public ◽  
Population Ratio ◽  
The U.S ◽  
Essential Health Benefits

Health care insurance schemes, whether private or public, are notoriously unaccommodating to individuals with disabilities. While most nonelderly nondisabled persons in the U.S. are insured through private sources, coverage sources for nonelderly persons with disabilities have traditionally been a mix of private and public coverage. For all age groups, the employment-to-population ratio is much lower for persons with a disability than for those with no disability. Moreover, employed persons with a disability were more likely to be self-employed than those with no disability. As a group, therefore, nonelderly people with disabilities have not been as well positioned as others to obtain private health care insurance because in the U.S., acquiring such coverage usually is employer based.

A Study on the Impact of Demonetization on Utilisation of Private Health Care Services in a South Indian City

2020 ◽  
Vol 11 (2) ◽  
pp. 485
Author(s):  
Vijay K. Yalanchmanchili ◽  
N. Partha Sarathy ◽  
U. Vijaya Kumar ◽  
M. Ravi Kiran ◽  
Kalapala Abhilash
Keyword(s):  
Health Care ◽  
Health Care Services ◽  
Private Health Care ◽  
Care Services ◽  
South Indian ◽  
Indian City ◽  
The Impact

scholarly journals P1490MONTHLY TREND AND SEASONALITY IN ACUTE AND CHRONIC HEMODIALYSIS; RESULT FROM NATIONWIDE DATABASE OF MEDICAL BILLS OF UNIVERSAL HEALTH CARE INSURANCE SYSTEM IN JAPAN

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Ryoya Tsunoda ◽  
Hirayasu Kai ◽  
Masahide Kondo ◽  
Naohiro Mitsutake ◽  
Kunihiro Yamagata
Keyword(s):  
Health Care ◽  
Seasonal Variation ◽  
Chronic Hemodialysis ◽  
Universal Health Care ◽  
Health Care Insurance ◽  
Individual Data ◽  
Insurance System ◽  
Number Of Patients ◽  
Medical Bills ◽  
Universal Health

Abstract Background and Aims Although knowing the accurate number of patients of hemodialysis important, data collection is a hard task. Establishing a simplified and prompt method of data collection for perspective hemodialysis is strongly needed. In Japan, there is a universal health care insurance system that covers almost all population. This study aimed to know a seasonal variation of hemodialysis patients using the big database of medical bills in Japan. Method Japanese Ministry of Health, Labour and Welfare established a big database named National Database (NDB), that consists of medical bills data in Japan. All bills data were sent to the data server from The Examination and Payment Agency, the organization that receives all medical bills from each medical institution and judge validity for payment. Each record of the database consists of bill data of one patient of a month for each medical institution. All data were anonymized before saved in the server and gave virtual patient identification number (VPID) that is unique for each patient. VPID is a hash value calculated by patient’s individual data such as name, date of birth, so that the value cannot be duplicate. Calculation of VPID is executed by an irreversible way to make it difficult to decrypt VPID into patient’s individual data. This database includes all information about medical care of whole population in Japan except for patients not under the insurance system (patients under public assistance system, victims of the war, or any other specified people under the public medical expense). Using this database, we investigated monthly number of patients who were recorded to be undergone hemodialysis (HD, includes hemodiafiltration). We searched chronic HD patients who have undergone HD on the month and continued it for 3 months, and acute HD patients who have discontinued HD within 3 months. Results In NDB, the number of chronic HD patients under public insurance system who confirmed to have undergone HD in December 2014 was 284 433. In contrast, the number of HD patients identified from the year-end survey by Japanese Society of Dialysis Therapy in the same year was of 311 193, but this number includes patients not under insurance system. Incidence rate of acute HD in Japan was persisted at 30-39 per million per month. There is a reproducible seasonal variation in number of acute HD patients, that increases in every winter and decreasing in every summer. The significantly highest frequency was observed in February(38.5/million/month) compared with September(30.6/million/month), the lowest month of the year (p<0.01). Conclusion We could show the trend in number of HD patients using nationwide bills data. Seasonality in some clinical factors in patients under chronic hemodialysis such as blood pressure, intradialytic body weight gain, morbidity of congestive heart failure, and, mortality, has been reported in many observational studies. Also, there are a few former reports about seasonality in AKI. However, a report about acute RRT is few. From our knowledge, this is the first report that revealed monthly dynamics of HD in a whole nation and rising risk of acute HD in winter. The true mechanism of this seasonality remains unclear. We have to establish a method to collect clinical data such as prevalence of CKD, causative diseases of AKI, kinds of precedent operations, and medications in connection with billing data.

Which are the Best Information Sources for Identifying Emerging Health Care Technologies?: An International Delphi Survey

1998 ◽  
Vol 14 (4) ◽  
pp. 636-643 ◽  
Author(s):  
Glenn Robert ◽  
John Gabbay ◽  
Andrew Stevens
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Delphi Study ◽  
Information Sources ◽  
Medical Engineering ◽  
Private Health Care ◽  
Care Providers ◽  
Medical Journals ◽  
Biotechnology Companies ◽  
Health Care Technologies

AbstractThe purpose of this survey was to assess potential information sources for identifying new health care technologies. A three-round Delphi study was conducted, involving 38 selected experts who suggested and assessed potential sources by applying agreed criteria. Twenty-six potential information sources were considered. Timeliness, time efficiency, and sensitivity were important criteria in determining which were the most important sources. The eight recommended sources were: pharmaceutical journals, pharmaceutical and biotechnology companies, specialist medical journals, key medical journals, medical engineering companies, private health care providers, newsletters and bulletins from other health technology assessment agencies, and groups of expert health professionals. There is a need to use a combination of sources because the most useful sources will vary according to the type of technology under consideration.

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