India plans to move towards free universal healthcare coverage

BMJ ◽  
2011 ◽  
Vol 343 (oct19 2) ◽  
pp. d6774-d6774 ◽  
Author(s):  
G. Mudur
BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e054806
Author(s):  
Iris Meulman ◽  
Ellen Uiters ◽  
Johan Polder ◽  
Niek Stadhouders

IntroductionEven in advanced economies with universal healthcare coverage (UHC), a social gradient in healthcare utilisation has been reported. Many individual, community and healthcare system factors have been considered that may be associated with the variation in healthcare utilisation between socioeconomic groups. Nevertheless, relatively little is known about the complex interaction and relative contribution of these factors to socioeconomic differences in healthcare utilisation. In order to improve understanding of why utilisation patterns differ by socioeconomic status (SES), the proposed systematic review will explore the main mechanisms that have been examined in quantitative research.Methods and analysisThe systematic review will follow the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines and will be conducted in Embase, PubMed, Scopus, Web of Science, Econlit and PsycInfo. Articles examining factors associated with the differences in primary and specialised healthcare utilisation between socioeconomic groups in Organisation for Economic Co-operation and Development (OECD) countries with UHC will be included. Further restrictions concern specifications of outcome measures, factors of interest, study design, population, language and type of publication. Data will be numerically summarised, narratively synthesised and thematically discussed. The factors will be categorised according to existing frameworks for barriers to healthcare access.Ethics and disseminationNo primary data will be collected. No ethics approval is required. We intend to publish a scientific article in an international peer-reviewed journal.


2018 ◽  
Vol 72 (9) ◽  
pp. 845-851 ◽  
Author(s):  
Raquel Garcia ◽  
Rosa Abellana ◽  
Jordi Real ◽  
José-Luis del Val ◽  
Jose Maria Verdú-Rotellar ◽  
...  

BackgroundInformation regarding the effect of social determinants of health on heart failure (HF) community-dwelling patients is scarce. We aimed to analyse the presence of socioeconomic inequalities, and their impact on hospitalisations and mortality, in patients with HF attended in a universal healthcare coverage system.MethodsA retrospective cohort study carried out in patients with HF aged >40 and attended at the 53 primary healthcare centres of the Institut Català de la Salut in Barcelona (Spain). Socioeconomic status (SES) was determined by an aggregated deprivation index (MEDEA). Cox proportional hazard models and competing-risks regression based on Fine and Gray’s proportional subhazards were performed to analyse hospitalisations due to of HF and total mortality that occurred between 1 January 2009 and 31 December 2012.ResultsMean age was 78.1 years (SD 10.2) and 56% were women. Among the 8235 patients included, 19.4% died during the 4 years of follow-up and 27.1% were hospitalised due to HF. A gradient in the risk of hospitalisation was observed according to SES with the highest risk in the lowest socioeconomic group (sHR 1.46, 95% CI 1.27 to 1.68). Nevertheless, overall mortality did not differ among the socioeconomic groups.ConclusionsIn spite of finding a gradient that linked socioeconomic deprivation to an increased risk of hospitalisation, there were no differences in mortality regarding SES in a universal healthcare coverage system.


2020 ◽  
Vol 30 (4) ◽  
pp. 785-787
Author(s):  
Albert Prats-Uribe ◽  
Sílvia Brugueras ◽  
Dolors Comet ◽  
Dolores Álamo-Junquera ◽  
LLuïsa Ortega Gutiérrez ◽  
...  

Abstract In 2012, the Spanish government enforced a healthcare exclusion policy against undocumented immigrants. The newly elected government has recently derogated this policy. To analyze how this decree could have affected population health, we looked at primary health patients who would have been excluded and compared with a matched sample of non-excluded patients. Potentially excluded patients had decreased odds of: depression, chronic obstructive pulmonary disease, dyslipidaemia, heart failure and hypertension while diabetes mellitus rates were similar to non-excluded. Infectious diseases were more frequent in potentially excluded population (HIV, tuberculosis and syphilis). The exclusion of patients impedes the control of infectious diseases at a community level.


2014 ◽  
Vol 59 ◽  
pp. 19-24 ◽  
Author(s):  
Yonas Martin ◽  
Tinh-Hai Collet ◽  
Patrick Bodenmann ◽  
Manuel R. Blum ◽  
Lukas Zimmerli ◽  
...  

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