10,800 results match your criteria Bulletin of the World Health Organization[Journal]


Corrigendum.

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Bull World Health Organ 2020 04;98(4):296

[This corrects the article DOI: 10.2471/BLT.19. Read More

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http://dx.doi.org/10.2471/BLT.20.100420DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133478PMC

Ethical barriers to artificial intelligence in the national health service, United Kingdom of Great Britain and Northern Ireland.

Bull World Health Organ 2020 Apr 28;98(4):293-295. Epub 2020 Feb 28.

School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Polwarth Building, Foresterhill, Aberdeen, AB25 2ZD, Scotland.

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http://dx.doi.org/10.2471/BLT.19.237230DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133482PMC

Four equity considerations for the use of artificial intelligence in public health.

Bull World Health Organ 2020 Apr 25;98(4):290-292. Epub 2020 Feb 25.

Women's College Hospital, Toronto, Canada.

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http://dx.doi.org/10.2471/BLT.19.237503DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133473PMC

Artificial intelligence, diagnostic imaging and neglected tropical diseases: ethical implications.

Bull World Health Organ 2020 Apr 3;98(4):288-289. Epub 2020 Mar 3.

Division Infectious Diseases, Toronto General Hospital, University of Toronto, 14EN 209, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada.

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http://dx.doi.org/10.2471/BLT.19.237560DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133484PMC

Ethical implications of conversational agents in global public health.

Authors:
David D Luxton

Bull World Health Organ 2020 Apr 27;98(4):285-287. Epub 2020 Jan 27.

Department of Psychiatry & Behavioral Sciences, University of Washington School of Medicine, 1959 NE Pacific St, Seattle, Washington 98195-6560, United States of America.

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http://dx.doi.org/10.2471/BLT.19.237636DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133471PMC

Safeguards for the use of artificial intelligence and machine learning in global health.

Bull World Health Organ 2020 Apr 27;98(4):282-284. Epub 2020 Jan 27.

U.S. Global Development Lab, USAID, Washington, DC, USA.

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http://dx.doi.org/10.2471/BLT.19.237099DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133486PMC

Ethical challenges of digital health technologies: , India.

Bull World Health Organ 2020 Apr 17;98(4):277-281. Epub 2019 Jan 17.

Madras Diabetes Research Foundation, No. 4, Conran Smith Road, Gopalapuram, Chennai, 600086, India.

Problem: The proliferation of information and communication technologies in India has enabled the emergence of health-related digital applications, from which important ethical issues arise.

Approach: The identification system provides each resident in India with a 12-digit unique identification number, linked to demographic and biometric data. Identification by in welfare programmes has the important advantage of ensuring targeted benefits reach the intended recipients. Read More

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http://dx.doi.org/10.2471/BLT.19.237123DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133485PMC

Ethical dilemmas posed by mobile health and machine learning in psychiatry research.

Bull World Health Organ 2020 Apr 25;98(4):270-276. Epub 2020 Feb 25.

Department of Psychology, Harvard University, Cambridge, USA.

The application of digital technology to psychiatry research is rapidly leading to new discoveries and capabilities in the field of mobile health. However, the increase in opportunities to passively collect vast amounts of detailed information on study participants coupled with advances in statistical techniques that enable machine learning models to process such information has raised novel ethical dilemmas regarding researchers' duties to: (i) monitor adverse events and intervene accordingly; (ii) obtain fully informed, voluntary consent; (iii) protect the privacy of participants; and (iv) increase the transparency of powerful, machine learning models to ensure they can be applied ethically and fairly in psychiatric care. This review highlights emerging ethical challenges and unresolved ethical questions in mobile health research and provides recommendations on how mobile health researchers can address these issues in practice. Read More

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http://dx.doi.org/10.2471/BLT.19.237107DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133483PMC

Ensuring trustworthy use of artificial intelligence and big data analytics in health insurance.

Bull World Health Organ 2020 Apr 25;98(4):263-269. Epub 2020 Feb 25.

Centre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.

Technological advances in big data (large amounts of highly varied data from many different sources that may be processed rapidly), data sciences and artificial intelligence can improve health-system functions and promote personalized care and public good. However, these technologies will not replace the fundamental components of the health system, such as ethical leadership and governance, or avoid the need for a robust ethical and regulatory environment. In this paper, we discuss what a robust ethical and regulatory environment might look like for big data analytics in health insurance, and describe examples of safeguards and participatory mechanisms that should be established. Read More

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http://dx.doi.org/10.2471/BLT.19.234732DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133481PMC
April 2020
5.089 Impact Factor

How to achieve trustworthy artificial intelligence for health.

Bull World Health Organ 2020 Apr 27;98(4):257-262. Epub 2020 Jan 27.

Oslo Metropolitan University, Oslo, Norway.

Artificial intelligence holds great promise in terms of beneficial, accurate and effective preventive and curative interventions. At the same time, there is also awareness of potential risks and harm that may be caused by unregulated developments of artificial intelligence. Guiding principles are being developed around the world to foster trustworthy development and application of artificial intelligence systems. Read More

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http://dx.doi.org/10.2471/BLT.19.237289DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133476PMC
April 2020
5.089 Impact Factor

Artificial intelligence in health care: accountability and safety.

Bull World Health Organ 2020 Apr 25;98(4):251-256. Epub 2020 Feb 25.

Department of Philosophy, University of York, York, England.

The prospect of patient harm caused by the decisions made by an artificial intelligence-based clinical tool is something to which current practices of accountability and safety worldwide have not yet adjusted. We focus on two aspects of clinical artificial intelligence used for decision-making: moral accountability for harm to patients; and safety assurance to protect patients against such harm. Artificial intelligence-based tools are challenging the standard clinical practices of assigning blame and assuring safety. Read More

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http://dx.doi.org/10.2471/BLT.19.237487DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133468PMC

Artificial intelligence and the ongoing need for empathy, compassion and trust in healthcare.

Bull World Health Organ 2020 Apr 27;98(4):245-250. Epub 2020 Jan 27.

The Ethox Centre, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, OX3 7LF, England.

Empathy, compassion and trust are fundamental values of a patient-centred, relational model of health care. In recent years, the quest for greater efficiency in health care, including economic efficiency, has often resulted in the side-lining of these values, making it difficult for health-care professionals to incorporate them in practice. Artificial intelligence is increasingly being used in health care. Read More

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http://dx.doi.org/10.2471/BLT.19.237198DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133472PMC

Defining ethical standards for the application of digital tools to population health research.

Bull World Health Organ 2020 Apr 17;98(4):239-244. Epub 2019 Jan 17.

Department of Educational Research, Lancaster University, Lancaster, England.

There is growing interest in population health research, which uses methods based on artificial intelligence. Such research draws on a range of clinical and non-clinical data to make predictions about health risks, such as identifying epidemics and monitoring disease spread. Much of this research uses data from social media in the public domain or anonymous secondary health data and is therefore exempt from ethics committee scrutiny. Read More

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http://dx.doi.org/10.2471/BLT.19.237370DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133469PMC

Tze-Yun Leong: the need for intelligent regulation.

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Bull World Health Organ 2020 Apr;98(4):237-238

Tze-Yun Leong talks to Gary Humphreys about the challenges faced in realizing the potential of digital health. Read More

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http://dx.doi.org/10.2471/BLT.20.030420DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133477PMC

Regulating digital health.

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Bull World Health Organ 2020 Apr;98(4):235-236

Realizing the potential of digital health requires overcoming its inherent risks. Gary Humphreys reports. Read More

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http://dx.doi.org/10.2471/BLT.20.020420DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133474PMC

Public health round-up.

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Bull World Health Organ 2020 Apr;98(4):233-234

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http://dx.doi.org/10.2471/BLT.20.010420DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133470PMC

How do we reimagine health in a digital age?

Bull World Health Organ 2020 Apr;98(4):232

Fondation Botnar, St. Alban-Vorstadt 56, 4052 Basel, Switzerland.

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http://dx.doi.org/10.2471/BLT.19.235358DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133467PMC

Towards a global strategy on digital health.

Authors:
Bernardo Mariano

Bull World Health Organ 2020 Apr;98(4):231-231A

Digital Health and Innovation, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland.

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http://dx.doi.org/10.2471/BLT.20.253955DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133480PMC

Balancing risks and benefits of artificial intelligence in the health sector.

Bull World Health Organ 2020 Apr;98(4):230-230A

Institute of Translational Medicine, Eidgenössische Technische Hochschule Zürich, Zürich, Switzerland.

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http://dx.doi.org/10.2471/BLT.20.253823DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7133475PMC

Corrigendum.

Authors:

Bull World Health Organ 2020 03;98(3):228

[This corrects the article DOI: 10.2471/BLT.19. Read More

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http://dx.doi.org/10.2471/BLT.20.100320DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047029PMC

Systems approaches to support action on physical activity.

Bull World Health Organ 2020 03 31;98(3):226-227. Epub 2020 Jan 31.

Department of Health Promotion, World Health Organization, Geneva, Switzerland.

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http://dx.doi.org/10.2471/BLT.20.250936DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047038PMC

Time for a causal systems map of physical activity.

Bull World Health Organ 2020 Mar 28;98(3):224-225. Epub 2019 Jan 28.

Solent University, School of Sport, Health and Social Sciences, Southampton, England.

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http://dx.doi.org/10.2471/BLT.19.236398DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047020PMC

What's next for WHO's global strategy to reduce the harmful use of alcohol?

Bull World Health Organ 2020 Mar 28;98(3):222-223. Epub 2020 Jan 28.

Department of Health Behavior, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, USA.

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http://dx.doi.org/10.2471/BLT.19.241737DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047030PMC

Informal work and maternal and child health: a blind spot in public health and research.

Bull World Health Organ 2020 Mar 28;98(3):219-221. Epub 2020 Jan 28.

Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, 20 avenue Appia, 1211 Geneva 27, Switzerland.

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http://dx.doi.org/10.2471/BLT.19.231258DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047022PMC
March 2020
5.089 Impact Factor

Contact tracing for tuberculosis, Thailand.

Bull World Health Organ 2020 Mar 27;98(3):212-218. Epub 2020 Jan 27.

TB/HIV Research Foundation, 1050/1 Satarnpayabarn Rd., Muang District, Chiang Rai 57000, Thailand.

Problem: Despite implementation of universal health coverage in Thailand, gaps remain in the system for screening contacts of tuberculosis patients.

Approach: We designed broader criteria for contact investigation and new screening practices and assessed the approach in a programme-based operational research study in 2017-2018. Clinic staff interviewed 100 index patients and asked them to give household and non-household contacts an invitation for a free screening and chest X-ray. Read More

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http://dx.doi.org/10.2471/BLT.19.239293DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047024PMC
March 2020
5.089 Impact Factor

Implementation of adverse event reporting for medical devices, India.

Bull World Health Organ 2020 Mar 18;98(3):206-211. Epub 2019 Nov 18.

Indian Pharmacopoeia Commission, Ministry of Health & Family Welfare, Uttar Pradesh, India.

Problem: Rapid growth in the use of medical devices has drawn attention to gaps in the systematic monitoring of medical device-associated adverse events in India.

Approach: Implementation of national regulations on medical devices started in January 2018. Supported by a nationwide network of monitoring centres, the Indian Pharmacopoeia Commission coordinates adverse event reports from manufacturers, legal representatives and patients or users. Read More

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http://dx.doi.org/10.2471/BLT.19.232785DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047028PMC

Modelling for control strategies beyond 2020.

Bull World Health Organ 2020 Mar 27;98(3):198-205. Epub 2020 Jan 27.

Department of Infectious Disease Epidemiology, London Centre for Neglected Tropical Disease Research and MRC Centre for Global Infectious Disease Analysis, Imperial College London, London W2 1PG, England.

The cestode is responsible for a considerable cross-sectoral health and economic burden due to human neurocysticercosis and porcine cysticercosis. The 2012 World Health Organization (WHO) roadmap for neglected tropical diseases called for the development of a validated strategy for control of ; however, such a strategy is not yet available. In 2019, WHO launched a global consultation aimed at refining the post-2020 targets for control of for a new roadmap for neglected tropical diseases. Read More

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http://dx.doi.org/10.2471/BLT.19.238485DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047036PMC

Effectiveness of generic direct-acting agents for the treatment of hepatitis C: systematic review and meta-analysis.

Bull World Health Organ 2020 Mar 8;98(3):188-197K. Epub 2019 Nov 8.

Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Avenida Brasil 4365, CEP 21040-360, Rio de Janeiro, Brazil.

Objective: To compare the efficacy of generic direct-acting agents and brand-name medicines for treating hepatitis C virus (HCV) infection by conducting a systematic review and meta-analysis.

Methods: We searched online databases for studies that reported sustained virological responses 12 weeks after the end of HCV treatment with generic direct-acting agents. We derived pooled proportions of treated patients with a sustained virological response from intention-to-treat and per-protocol analyses. Read More

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http://dx.doi.org/10.2471/BLT.19.231522DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047023PMC

Measuring antibiotic availability and use in 20 low- and middle-income countries.

Bull World Health Organ 2020 Mar 31;98(3):177-187C. Epub 2020 Jan 31.

Global Coordination and Partnerships Group, Antimicrobial Resistance Division, World Health Organization, Avenue Appia 20, Geneva 27, 1211, Switzerland.

Objective: To assess antibiotic availability and use in health facilities in low- and middle-income countries, using the service provision assessment and service availability and readiness assessment surveys.

Methods: We obtained data on antibiotic availability at 13 561 health facilities in 13 service provision assessment and 8 service availability and readiness assessment surveys. In 10 service provision assessment surveys, child consultations with health-care providers were observed, giving data on antibiotic use in 22 699 children. Read More

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http://dx.doi.org/10.2471/BLT.19.241349DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047034PMC

Gun-carrying restrictions and gun-related mortality, Colombia: a difference-in-difference design with fixed effects.

Bull World Health Organ 2020 Mar 17;98(3):170-176. Epub 2019 Jan 17.

Red Papaz, Bogotá, Colombia.

Objective: To assess the effect of a permanent gun-carrying restriction on gun-related mortality in Colombia between 2008 and 2014, and determine differences in the effect of the restriction by place of death and sex.

Methods: In 2012, Bogotá and Medellín introduced a permanent gun-carrying restriction. We compared gun-related mortality rates in these cities (intervention cities) with the rates in all other Colombian cities with more than 500 000 inhabitants (control cities). Read More

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http://dx.doi.org/10.2471/BLT.19.236646DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047021PMC

A programme to improve quality of care for patients with chronic diseases, Kazakhstan.

Bull World Health Organ 2020 Mar 27;98(3):161-169. Epub 2019 Jan 27.

Kazakhstan Ministry of Health and Social Affairs, Nursultan, Kazakhstan.

Objective: To evaluate the effect of a disease management programme in Kazakhstan on quality indicators for patients with hypertension, diabetes and chronic heart failure.

Methods: A supportive, interdisciplinary, quality improvement programme was implemented between November 2014 and November 2015 at seven polyclinics in Pavlodar and Petropavlovsk. Quality improvement teams were established at each clinic and quality improvement tools were introduced, including patient flowsheets, decision support tools, patient registries, a patient recall process, support for patient self-management and patient follow-up with intensity adjusted for level of disease control. Read More

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http://dx.doi.org/10.2471/BLT.18.227447DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047019PMC

Karla Soares-Weiser: curating evidence to support knowledge translation.

Authors:

Bull World Health Organ 2020 Mar;98(3):159-160

Karla Soares-Weiser talks to Gary Humphreys about her experiences in clinical practice, medical research, and systematic reviewing and her vision for a better Cochrane Library. Read More

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http://dx.doi.org/10.2471/BLT.20.030320DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047035PMC

Mending the medicines supply chain.

Authors:

Bull World Health Organ 2020 Mar;98(3):157-158

Weakness in the global supply chain for injectable medicines is hampering the delivery of care. Lynne Eaton reports. Read More

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http://dx.doi.org/10.2471/BLT.20.020320DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047032PMC

Public health round-up.

Authors:

Bull World Health Organ 2020 Mar;98(3):155-156

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http://dx.doi.org/10.2471/BLT.20.010320DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047037PMC

Priority pathogens and the antibiotic pipeline: an update.

Bull World Health Organ 2020 Mar;98(3):151

Department of Global Coordination and Partnership, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland.

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http://dx.doi.org/10.2471/BLT.20.251751DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047031PMC

Data sharing for novel coronavirus (COVID-19).

Bull World Health Organ 2020 Mar;98(3):150

Science Division, World Health Organization, avenue Appia 20, 1211 Geneva 27, Switzerland.

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http://dx.doi.org/10.2471/BLT.20.251561DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7047033PMC

Corrigendum.

Authors:

Bull World Health Organ 2020 02;98(2):148

[This corrects the article DOI: 10.2471/BLT.18. Read More

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http://dx.doi.org/10.2471/BLT.20.110220DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986222PMC
February 2020

Corrigendum.

Authors:

Bull World Health Organ 2020 02;98(2):148

[This corrects the article DOI: 10.2471/BLT.19. Read More

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http://dx.doi.org/10.2471/BLT.20.100220DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986216PMC
February 2020

Political economy of Thailand's tax-financed universal coverage scheme.

Bull World Health Organ 2020 Feb 18;98(2):140-145. Epub 2019 Nov 18.

International Health Policy Program, Ministry of Public Health, Tivanon Road, Muang District, Nonthaburi Province 11000, Thailand.

Problem: The challenge of implementing contributory health insurance among populations in the informal sector was a barrier to achieving universal health coverage (UHC) in Thailand.

Approach: UHC was a political manifesto of the 2001 election campaign. A contributory system was not a feasible option to honour the political commitment. Read More

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http://dx.doi.org/10.2471/BLT.19.239343DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986227PMC
February 2020

Pooling financial resources for universal health coverage: options for reform.

Bull World Health Organ 2020 Feb 29;98(2):132-139. Epub 2019 Nov 29.

Department of Global Health and Development, London School of Hygiene and Tropical Medicine, London, England.

Universal health coverage (UHC) means that all people can access health services of good quality without experiencing financial hardship. Three health financing functions - revenue raising, pooling of funds and purchasing health services - are vital for UHC. This article focuses on pooling: the accumulation and management of prepaid financial resources. Read More

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http://dx.doi.org/10.2471/BLT.19.234153DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986215PMC
February 2020

Purchasing reforms and tracking health resources, Kenya.

Bull World Health Organ 2020 Feb 12;98(2):126-131. Epub 2019 Dec 12.

ThinkWell, Washington DC, United States of America.

As low- and middle-income countries undertake health financing reforms to achieve universal health coverage, there is renewed interest in making allocation of pooled funds to health-care providers more strategic. To make purchasing more strategic, countries are testing different provider payment methods. They therefore need comprehensive data on funding flows to health-care providers from different purchasers to inform decision on payment methods. Read More

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http://dx.doi.org/10.2471/BLT.19.239442DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986225PMC
February 2020

Legislating for public accountability in universal health coverage, Thailand.

Bull World Health Organ 2020 Feb 4;98(2):117-125. Epub 2019 Dec 4.

International Health Policy Program, Ministry of Public Health, Tiwanond Road, Nonthaburi, Thailand 11000.

Sustaining universal health coverage requires robust active public participation in policy formation and governance. Thailand's universal coverage scheme was implemented nationwide in 2002, allowing Thailand to achieve full population coverage through three public health insurance schemes and to demonstrate improved health outcomes. Although Thailand's position on the World Bank worldwide governance indicators has deteriorated since 1996, provisions for voice and accountability were embedded in the legislation and design of the universal coverage scheme. Read More

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http://dx.doi.org/10.2471/BLT.19.239335DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986221PMC
February 2020

Developing the health workforce for universal health coverage.

Bull World Health Organ 2020 Feb 4;98(2):109-116. Epub 2019 Dec 4.

Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisboa, Portugal.

Optimizing the management of the health workforce is necessary for the progressive realization of universal health coverage. Here we discuss the six main action fields in health workforce management as identified by the Human Resources for Health Action Framework: leadership; finance; policy; education; partnership; and human resources management systems. We also identify and describe examples of effective practices in the development of the health workforce, highlighting the breadth of issues that policy-makers and planners should consider. Read More

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http://dx.doi.org/10.2471/BLT.19.234138DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986219PMC
February 2020

Reforms for financial protection schemes towards universal health coverage, Senegal.

Bull World Health Organ 2020 Feb 5;98(2):100-108. Epub 2019 Dec 5.

Agence Nationale de la Couverture Maladie Universelle, Dakar, Senegal.

Advancing the public health insurance system is one of the key strategies of the Senegalese government for achieving universal health coverage. In 2013, the government launched a universal health financial protection programme, . One of the programme's aims was to establish a community-based health insurance scheme for the people in the informal sector, who were largely uninsured before 2013. Read More

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http://dx.doi.org/10.2471/BLT.19.239665DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986231PMC
February 2020
5.089 Impact Factor

Other considerations than: how much will universal health coverage cost?

Bull World Health Organ 2020 Feb 22;98(2):95-99. Epub 2019 Nov 22.

World Health Organization Centre for Health Development, IHD Center Building 9F, 1-5-1 Wakinohama-Kaigandori, Chuo-Ku, Kobe, 651-0073, Japan.

Globally, countries have agreed to pursue the progressive realization of universal health coverage (UHC) and there is now a high level of political commitment to providing universal coverage of essential health services while ensuring that individuals are financially protected against high health spending. The aim of this paper is to help policy-makers think through the progressive realization of UHC. First, the pitfalls of applying global normative expenditure targets in estimating the national revenue required for UHC are discussed. Read More

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http://dx.doi.org/10.2471/BLT.19.238915DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986220PMC
February 2020

Tailored HIV programmes and universal health coverage.

Bull World Health Organ 2020 Feb 27;98(2):87-94. Epub 2019 Sep 27.

TB and HIV, Bill & Melinda Gates Foundation, Seattle, USA.

Improvements in geospatial health data and tailored human immunodeficiency virus (HIV) testing, prevention and treatment have led to greater microtargeting of the HIV response, based on location, risk, clinical status and disease burden. These approaches show promise for achieving control of the HIV epidemic. At the same time, United Nations Member States have committed to achieving broader health and development goals by 2030, including universal health coverage (UHC). Read More

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http://dx.doi.org/10.2471/BLT.18.223495DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986224PMC
February 2020

Midori de Habich: the economist who ran Peru's health ministry.

Authors:

Bull World Health Organ 2020 Feb;98(2):85-86

Midori de Habich speaks to Gary Humphreys about Peru's journey towards universal health coverage and the advantages of being an economist in a world of doctors. Read More

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http://dx.doi.org/10.2471/BLT.20.030220DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986230PMC
February 2020

Pooling resources for universal health coverage.

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Bull World Health Organ 2020 Feb;98(2):83-84

Progress towards universal health coverage in the Caribbean will require greater collaboration between the island states and territories. Gary Humphreys reports. Read More

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Source
http://dx.doi.org/10.2471/BLT.20.020220DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6986223PMC
February 2020