scholarly journals The Efficiency Path To Universal Health Coverage: Derivation Of Cost-Effectiveness Thresholds Based On Health Expenditures And Life Expectancy. Updated Country-Level Estimates For 194 Countries

2017 ◽  
Vol 20 (9) ◽  
pp. A858 ◽  
Author(s):  
A Pichon-Riviere ◽  
F Augustovski ◽  
S Garcia Marti
BMJ ◽  
2020 ◽  
pp. m4040 ◽  
Author(s):  
Simon Wigley ◽  
Joseph L Dieleman ◽  
Tara Templin ◽  
John Everett Mumford ◽  
Thomas J Bollyky

Abstract Objective To assess the relation between autocratisation—substantial decreases in democratic traits (free and fair elections, freedom of civil and political association, and freedom of expression)—and countries’ population health outcomes and progress toward universal health coverage (UHC). Design Synthetic control analysis. Setting and country selection Global sample of countries for all years from 1989 to 2019, split into two categories: 17 treatment countries that started autocratising during 2000 to 2010, and 119 control countries that never autocratised from 1989 to 2019. The treatment countries comprised low and middle income nations and represent all world regions except North America and western Europe. A weighted combination of control countries was used to construct synthetic controls for each treatment country. This statistical method is especially well suited to population level studies when random assignment is infeasible and sufficiently similar comparators are not available. The method was originally developed in economics and political science to assess the impact of policies and events, and it is now increasingly used in epidemiology. Main outcome measures HIV-free life expectancy at age 5 years, UHC effective coverage index (0-100 point scale), and out-of-pocket spending on health per capita. All outcome variables are for the period 1989 to 2019. Results Autocratising countries underperformed for all three outcome variables in the 10 years after the onset of autocratisation, despite some improvements in life expectancy, UHC effective coverage index, and out-of-pocket spending on health. On average, HIV-free life expectancy at age 5 years increased by 2.2% (from 64.7 to 66.1 years) during the 10 years after the onset of autocratisation. This study estimated that it would have increased by 3.5% (95% confidence interval 3.3% to 3.6%, P<0.001) (from 64.7 to 66.9 years) in the absence of autocratisation. On average, the UHC effective coverage index increased by 11.9% (from 42.5 to 47.6 points) during the 10 years after the onset of autocratisation. This study estimated that it would have increased by 20.2% (95% confidence interval 19.6% to 21.2%, P<0.001) (from 42.5 to 51.1 points) in the absence of autocratisation. Finally, on average, out-of-pocket spending on health per capita increased by 10.0% (from $4.00 (£3.1; €3.4) to $4.4, log transformed) during the 10 years after the onset of autocratisation. This study estimated that it would have increased by only 4.4% (95% confidence interval 3.9% to 4.6%, P<0.001) (from $4.0 to $4.2, log transformed) in the absence of autocratisation. Conclusions Autocratising countries had worse than estimated life expectancy, effective health service coverage, and levels of out-of-pocket spending on health. These results suggest that the noticeable increase in the number of countries that are experiencing democratic erosion in recent years is hindering population health gains and progress toward UHC. Global health institutions will need to adjust their policy recommendations and activities to obtain the best possible results in those countries with a diminishing democratic incentive to provide quality healthcare to populations.


Author(s):  
Ingan Tarigan ◽  
Taty Suryati

Abstrak Pogram Jaminan Kesehatan Nasional (JKN) salah satunya bertujuan memberikan perlindungan finansial khususnya biaya katastropik terhadap semua peserta. Penerima manfaat JKN berhak mendapatkan berbagai layanan sebagai bagian dari paket manfaat dasar tanpa mengeluarkan biaya pelayanan, dan diharapkan Out of Pocket (OOP) akan lebih rendah dibandingkan dengan mereka yang tidak memiliki asuransi kesehatan. Tujuan penulisan akan membandingkan total pengeluaran untuk kesehatan dari peserta jaminan kesehatan dengan yang tidak memiliki jaminan kesehatan pada awal era JKN. Dalam analisis ini, pengukuran pengeluaran perawatan kesehatan hanya mencakup biaya pengobatan langsung, seperti biaya konsultasi, pemakaian kamar di rumah sakit dan obat-obatan. Analisis dengan menggunakan data Susenas 2014 terdiri dari 274.673 individu dan 71.051 rumah tangga di 33 provinsi di Indonesia. Hasil penelitian menunjukkan bahwa pada awal era JKN ada sedikit perbedaan OOP pada penduduk miskin dibandingkan dengan penduduk dimana proteksi finansial terhadap penduduk miskin untuk pengeluaran kesehatan masih rendah.Kepemilikan jaminan kesehatan memberikan proteksi finansial akibat pengeluaran biaya kesehatan, khususnya pengeluaran biaya katastropik dibandingkan dengan yang tidak memiliki jaminan kesehatan. Kepesertaan penduduk miskin ditargetkan tahun 2019 sudah terpenuhi sehingga target pemerintah tentang Universal Health Coverage (UHC) perlindungan finansial pada penduduk miskin dan hampir miskin semakin tinggi atau OOP semakin mendekati nol. Kata kunci: OOP, Pembiayaan, Asuransi Kesehatan Abstract One of the main objectives of the JKN program is to provide financial protection, especially catastrophic costs to all members. JKN beneficiaries are entitled to various services as part of the basic benefit package without incurring service costs, and it is expected that Out of Pocket (OOP) will be lower than those who do not have health insurance. The purpose of writing will be to compare the total health expenditures of health insurance participants or beneficiaries and those without health insurance. In this analysis, the measurement of health care expenditures only includes direct medical expenses, such as consultation fees, hospital room usage and medication. Using Susenas data 2014 consists of 274,673 individuals and 71,051 households in 33 provinces in Indonesia. At the beginning of the JKN implementation, there was little difference of out of pocket in the poorest population compared to the richest population. This shows that financial protection to the poor for health expenditures are still low. The ownership of health insurance tends to provide financial protection due to health expenditures, especially catastrophic expenses compared to those without health insurance. In the Year of 2019 where the government targeted to Universal Health Coverage (UHC) expected protection financial on the poor and near poor is getting higher or out of pocket or getting closer up to zero. Keywords: OOP, Financial Protection, Health Insurance


Author(s):  
Melanie Y. Bertram ◽  
Jeremy A. Lauer ◽  
Karin Stenberg ◽  
Ambinintsoa H. Ralaidovy ◽  
Tessa Tan-Torres Edejer

Background: World Health Organization Choosing Interventions that are Cost-Effective (WHO CHOICE) has been a programme of the WHO for 20 years. In this latest update, we present for the first time a cross-programme analysis of the comparative cost-effectiveness of 479 intervention scenarios across 20 disease programmes and risk factors. Methods: This analysis follows the standard WHO CHOICE approach to generalized cost-effectiveness analysis applied to two regions, Eastern sub-Saharan Africa and Southeast Asia. The scope of the analysis is all interventions included in programme specific WHO CHOICE analyses, using WHO treatment guidelines for major disease areas as the foundation. Costs are measured in 2010 international dollars, and benefits modelled beginning in 2010, or the nearest year for which validated data was available, both for a period of 100 years. Results: Across both regions included in the analysis, interventions span multiple orders of magnitude in terms of cost-effectiveness ratios. A health benefit package optimized through a value for money lens incorporates interventions responding to all of the main drivers of disease burden. Interventions delivered through first level clinical and non-clinical services represent the majority of the high impact cost-effective interventions. Conclusion: Cost-effectiveness is one important criterion when selecting health interventions for benefit packages to progress towards universal health coverage (UHC), but it is not the only criterion and all calculations should be adapted to the local context. To support country decision-makers, WHO CHOICE has developed a downloadable tool to support the development of data for this criterion.


Author(s):  
Elisabeth Paul ◽  
Céline Deville ◽  
Oriane Bodson ◽  
N’koué Emmanuel Sambiéni ◽  
Ibrahima Thiam ◽  
...  

Abstract Background Equity seems inherent to the pursuance of universal health coverage (UHC), but it is not a natural consequence of it. We explore how the multidimensional concept of equity has been approached in key global UHC policy documents, as well as in country-level UHC policies. Methods We analysed a purposeful sample of UHC reports and policy documents both at global level and in two Western African countries (Benin and Senegal). We manually searched each document for its use and discussion of equity and related terms. The content was summarised and thematically analysed, in order to comprehend how these concepts were understood in the documents. We distinguished between the level at which inequity takes place and the origin or types of inequities. Results Most of the documents analysed do not define equity in the first place, and speak about “health inequities” in the broad sense, without mentioning the dimension or type of inequity considered. Some dimensions of equity are ambiguous – especially coverage and financing. Many documents assimilate equity to an overall objective or guiding principle closely associated to UHC. The concept of equity is also often linked to other concepts and values (social justice, inclusion, solidarity, human rights – but also to efficiency and sustainability). Regarding the levels of equity most often considered, access (availability, coverage, provision) is the most often quoted dimension, followed by financial protection. Regarding the types of equity considered, those most referred to are socio-economic, geographic, and gender-based disparities. In Benin and Senegal, geographic inequities are mostly pinpointed by UHC policy documents, but concrete interventions mostly target the poor. Overall, the UHC policy of both countries are quite similar in terms of their approach to equity. Conclusions While equity is widely referred to in global and country-specific UHC policy documents, its multiple dimensions results in a rather rhetorical utilisation of the concept. Whereas equity covers various levels and types, many global UHC documents fail to define it properly and to comprehend the breadth of the concept. Consequently, perhaps, country-specific policy documents also use equity as a rhetoric principle, without sufficient consideration for concrete ways for implementation.


Author(s):  
Seun S. Anjorin ◽  
Abimbola A. Ayorinde ◽  
Oyinlola Oyebode ◽  
Olalekan A. Uthman

Background: Universal health coverage (UHC) is part of the global health agenda to tackle the lack of access to essential health services (EHS). This study developed and tested models to examine the individual, neighbourhood and country-level determinants associated with access to coverage of EHS under the UHC agenda in low- and middle-income countries (LMICs). Methods: We used datasets from the Demographic and Health Surveys of 58 LMICs. Suboptimal and optimal access to EHS were computed using nine indicators. Descriptive and multilevel multinomial regression analyses were performed using R & STATA. Result: The prevalence of suboptimal and optimal access to EHS varies across the countries, the former ranging from 5.55% to 100%, and the latter ranging from 0% to 90.36% both in Honduras and Colombia, respectively. In the fully adjusted model, children of mothers with lower educational attainment (RRR 2.11, 95% credible interval [CrI] 1.92 to 2.32) and those from poor households (RRR 1.79, 95%CrI 1.61 to 2.00) were more likely to have suboptimal access to EHS. Also, those with health insurance (RRR 0.72, 95% CrI 0.59 to 0.85) and access to media (RRR 0.59, 95% CrI 0.51 to 0.67) were at lesser risk of having suboptimal EHS. Similar trends, although in the opposite direction, were observed in the analysis involving optimal access. The intra-neighbourhood and intra-country correlation coefficients were estimated using the intercept component variance; 57.50%% and 27.70% of variances in suboptimal access to EHS are attributable to the neighbourhood and country-level factors. Conclusion: Neighbourhood-level poverty, illiteracy, and rurality modify access to EHS coverage in LMICs. Interventions aimed at achieving the 2030 UHC goals should consider integrating socioeconomic and living conditions of people.


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