| Title |
Forgone care and financial burden due to out-of-pocket payments within the German health care system
|
|---|---|
| Published in |
Health Economics Review, December 2014
|
| DOI | 10.1186/s13561-014-0036-0 |
| Pubmed ID | |
| Authors |
Patrick Bremer |
| Abstract |
The amount of out-of-pocket (OOP) payments within the German health care system has risen steadily within the last years. OOP payments aim to strengthen patients' cost awareness and try to restrict the demand on medical necessary treatments. However, besides the intended decline of non-induced health care services there's a risk that people also forgo necessary treatments because the utilization of health care services depends not only on need-factors but also on the ability to pay for it. Therefore, this paper aims to analyze the determinants of the total amount of OOP payments, the financial burden caused by OOP payments and the relinquishment of health care services due to OOP payments. The empirical analysis is based on cross-sectional data of the German subsample (n = 2851) of the Survey of Health, Ageing and Retirement in Europe (SHARE). SHARE is a representative panel study among private households with persons above the age of 50 years and covers a wide range of topics, e.g. health behavior, health status and information about the socio-economic status. The analysis of the independent variables "total amount of OOP payments", "financial burden due to OOP payments" and "forgone care" is carried out by the means of descriptive as well as multivariate regression methods. Individuals with low income as well as people suffering from chronic illnesses face a higher financial burden and forgo health care services more frequently at the same time. E.g. the financial burden of people who belong to the lowest income quintile is about eight times higher compared to individuals who belong to the highest quintile. The probability of forgone care for this group is about 5.6 percentage points higher [95% CI: 5.2 - 6.0]. Especially for the group of people with chronic illnesses and low-income earners it cannot be ruled out that they also forgo necessary medical treatments due to the relatively high financial burden they face. Hence, it is required to facilitate the access to necessary care for these groups. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ghana | 1 | 2% |
| Unknown | 47 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 23% |
| Student > Ph. D. Student | 5 | 10% |
| Student > Doctoral Student | 4 | 8% |
| Other | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 15 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 8 | 17% |
| Social Sciences | 5 | 10% |
| Nursing and Health Professions | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Agricultural and Biological Sciences | 3 | 6% |
| Other | 8 | 17% |
| Unknown | 16 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 July 2022.
All research outputs
#14,924,861
of 22,957,478 outputs
Outputs from Health Economics Review
#243
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Outputs of similar age
#199,398
of 354,268 outputs
Outputs of similar age from Health Economics Review
#6
of 11 outputs
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