Between the Waves: Building Power for a Public Option

Author(s):  
Jacob S. Hacker

Abstract Given the close division of power in D.C., how might health reformers pursue their bolder aims? In particular, how might they pursue the robust public option that is a centerpiece of Joe Biden’s reform proposal? This ambitious plan, which would allow all Americans to enroll in subsidized public health insurance, is not in the cards right now. However, I argue for conceiving of it as an inspiring vision that can structure immediate initiatives designed to make its achievement more feasible. First, I explain just how far-reaching the mainstream vision of the public option now is. Second, I describe a self-reinforcing path to that endpoint that involves what I call “building power through policy”—using the openings that are likely to exist in the near term to reshape the political landscape for the long term. This path has three key steps: (1) pursuing immediate improvements in the ACA that are tangible and traceable yet do not work against the eventual creation of a public option; (2) building the necessary policy foundations for a public option, while encouraging progressive states to experiment with state public plan models; and (3) seeding and strengthening movements to press for more fundamental reform.

2019 ◽  
Vol 7 (10) ◽  
pp. e1448-e1457 ◽  
Author(s):  
Pablo Celhay ◽  
Sebastian Martinez ◽  
Matias Muñoz ◽  
Michelle Perez ◽  
Ricardo Perez-Cuevas

JOUTICA ◽  
2017 ◽  
Vol 2 (1) ◽  
Author(s):  
M Ghofar Rahman

The problem that existed in the health service agency in this case is the health center, namely the determination of the recipient of public health insurance (Jamkesmas), although in practice the determination of recipients Jamkesmas already using the computer, but only limited to the support and there is no system that can be used to support the retrieval Decisions based on existing variables. The decision support system for determining the members of Jamkesmas recipients, where the system is used to help determine the recipients of Jamkesmas to be provided in accordance with their respective groups to accelerate the work of determining the provision of Jamkesmas. The system can assist the puskesmas in determining the members of Jamkesmas beneficiaries in accordance with the appropriate class to the community who want to become the members of Jamkesmas beneficiaries at the Puskesmas. This decision support system using the Fuzzy Tsukamoto Method, which will provide a decision solution to the puskesmas in determining the members of the public health insurance (Jamkesmas).


2017 ◽  
Vol 26 (2) ◽  
pp. 274-284 ◽  
Author(s):  
Zuyu Huang ◽  
Zehan Pan

Although the Chinese government has established a public health insurance system covering both rural and urban areas, the rural–urban migrants seem to have been neglected. To have a clear sense of the current status of migrants in the public health insurance system and to find ways to increase their enrollment to medical insurance, this paper attempts to construct a conceptual classification framework of China’s health insurance system. This was done by reviewing the development of China’s health insurance system and identifying barriers to entry for migrants. The finding suggests that migrants’ limited access to health insurance owes more to their reluctance than to system exclusions. The job and residential stability of migrants are critical factors to building the classification framework to account for supply and demand factors in the formulation of China’s health insurance policy.


2021 ◽  
Vol 12 ◽  
Author(s):  
Mingshuang Li ◽  
Yifan Diao ◽  
Jianchun Ye ◽  
Jing Sun ◽  
Yu Jiang

Objectives: This study took Fuzhou city as a case, described how the public health insurance coverage policy in 2016 of novel anti-lung cancer medicines benefited patients, and who benefited the most from the policy in China.Methods: This was a retrospective study based on health insurance claim data with a longitudinal analysis of the level and trend changes of the monthly number of patients to initiate treatment with the novel targeted anti-lung cancer medicines gefitinib and icotinib before and after health insurance coverage. The study also conducted a multivariate linear regression analysis to predict the potential determinants of the share of patient out-of-pocket (OOP) expenditure for lung cancer treatment with the study medicines.Results: The monthly number of the insured patients in Fuzhou who initiated the treatment with the studied novel targeted anti-lung cancer medication abruptly increased by 26 in the month of the health insurance coverage (95% CI: 14–37, p < 0.01) and kept at an increasing level afterward (p < 0.01). By controlling the other factors, the shares of OOP expenditure for lung cancer treatment of the patients who were formal employee program enrollees not entitled to government-funded supplementary health insurance coverage and resident program enrollees were 18.3% (95% CI: 14.1–22.6) and 26.7% (95% CI: 21.0–32.4) higher than that of the patients who were formal employee program enrollees with government-funded supplementary health insurance coverage.Conclusion: The public health insurance coverage of novel anti-lung cancer medicines benefited patients generally. To enable that patients benefit from this policy more equally and thoroughly, in order to achieve the policy goal of not to leave anyone behind, it is necessary to strengthen the benefits package of the resident program and to optimize the current financing mechanism of the public health insurance system.


2020 ◽  
Author(s):  
Tesfaye Gebremedhin ◽  
Itismita Mohanty ◽  
Theo Niyonsenga

Abstract Background: Janani Suraksha Yojana (JSY), a conditional cash transfer program in India, incentivized women to deliver at institutions and resulted in a significant increase in institutional births. Another major health policy reform, which could have influenced maternal and child health care (MCH) utilisation, was the public health insurance scheme called Rashtriya Swasthya Bima Yojana (RSBY) launched in 2008. However, there is lack of evidence on how RSBY impacted MCH utilisation in India. This study investigated the impact of health insurance (in particular, the public insurance scheme versus private insurance) on a continuum of MCH utilisation. We also investigated whether maternal empowerment was a significant correlate that affects MCH utilisation. Methods: The study used a multilevel mixed effect ordered logistic regression modelling, using a cohort of mothers whose delivery was captured in both the 2005 and 2011/12 rounds of the Indian Human Development Survey (IHDS). We derived indexes for women’s empowerment using Principal component analysis (PCA) technique applied to various indicators of women’s autonomy and socio-economic status. Results: Our results indicated, mothers’ MCH utilization levels vary by district, community and mother over time. The effect of the public insurance scheme (RSBY) on MCH utilisation was not as strong as privately available insurance. However, health insurance was only significant in models that did not control for household and mother level predictors. Our findings indicated that maternal empowerment indicators – in particular, maternal ability to go out of the house and complete chores and economic empowerment - were associated with higher utilization of MCH services. Among control variables, maternal age, education and household wealth were significant correlates that increase MCH service utilization over time. Conclusions: Change in women’s and societal attitude towards maternal care may have played a significant role in increasing MCH utilisation over the study period. There might be a need to increase the coverage of the public insurance scheme given the finding that it was less effective in increasing MCH utilisation. Importantly, policies that aim to improve health services for women need to take maternal autonomy and empowerment into consideration.


2019 ◽  
Vol 18 (1) ◽  
pp. 34-40
Author(s):  
Cucu Handayani ◽  
Syaghil Farhan Robbany

The data processing of the election of citizens entitled to get the public health card aid fund in Kaliwadas Subdistrict, Sumber Subdistrict of Cirebon Regency generally still use manual selection system, that is, there is no computerization in determining the people who are eligible to get the help of public health insurance card so that many problems happened at this system. The problem that often arises because the target of the recipients of the public health card is not right on target to the eligible citizens, such as people who are actually not eligible to get grants but get the grant, otherwise the less fortunate people who are entitled to receive public health card security card but did not get donation. From these problems need a system for decision making, a system that can provide recommendations as a consideration for decision making accurately and accurately. This system can support decision-making of candidates receiving health insurance cards based on predetermined criteria. In order to calculate the decision support system more accurately then used a method, namely method of Fuzzy Technique for Order Preference by Similiary to Ideal Solution (Fuzzy TOPSIS) to determine the citizens who are entitled to get public health insurance card and get the best alternative value.


2018 ◽  
Vol 4 (1) ◽  
pp. 69-102
Author(s):  
Djuni Thamrin

This paper argues that concept of national security is not only consists of traditional dimension, but also its encompasses of non-traditional dimension such as social, economic, and all significant forms that are free from fear, worry, danger and threat. One of the important aspect of national security is health and social security in the form of policy tracking and its implementation of state policies that undertake a major transformation in the public health insurance system which well known as the JKN, whose form in the community is known as BPJS Kesehatan.


In early 2014 State Health Insurance program was launched by Indonesian Government. The program is called Badan Penyelenggara Jaminan Sosial (BPJS). The mission of the BPJS is that in the end of 2019 all Indonesian People are already covered by the State Health Insurance. This research is aimed to investigate that moral hazard is inevitable from the public health insurance. Using convenience method, 1011 data were collected. There are 893 member of BPJS, and there are 117 were not member of BPJS yet. One is datum missing. Cross-Tabulation and Chi-Square are employed to test the availability of moral hazard. It is found out that moral hazard is inevitable in the health insurance of BPJS. They are who are already member of BPJS tend to visit doctor frequently than that they are who are not member yet. They are whose premium are paid out of pocket tend to visit doctor more frequently than that they are whose premium is partly or totally paid by other parties


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