Tuesday, April 7, 2009

[EQ] WHO - Public Health Agency of Canada PHAC: seeking input on implementation of intersectoral action to improve health equity

WHO and PHAC seeking input on the implementation of intersectoral action (ISA) to improve health equity

WHO and the Public Health Agency of Canada (PHAC) wish to seek your input on how Intersectoral Action (ISA) has been implemented to improve health equity in your country and on how the WHO-PHAC ISA collaboration might support increased knowledge and action on ISA in the future. We have included a few open-ended questions for your review and response.

Please send any responses to the questions (below) to ISA@who.int by 1 May 2009

The World Health Organization (WHO) and the Public Health Agency of Canada (PHAC), have worked collaboratively on a joint initiative over the last three years to develop and increase the knowledge and application of effective intersectoral approaches. This work has informed the final report of the WHO Commission on the Social Determinants of Health (CSDH), increased knowledge about the use of intersectoral action to reduce health inequities and provided lessons for policy makers working, or interested in working, intersectorally. The initiative has engaged in four activities over the past three years:

Phase 1:• Review of global literature (Crossing Sectors - Experiences in ISA, Public Policy and Health)

Phase 2
• Case studies from 18 countries
• Facilitation of an international dialogue, 2007 IUHPE Conference
• Health Equity Through Intersectoral Action: An Analysis of 18 Country Case Studies.

Phase 2 work has illustrated several promising examples of approaches for collaboration among different actors and institutions while addressing the determinants of health. At the same time, it demonstrated the need to engage in a wider, systematic review of specific mechanisms through which ISA is implemented.

Phase 3
To further our collaborative work on ISA, Phase 3 will focus on intersectoral mechanisms to improve health equity, and tools and training used to operationalize these mechanisms. Phase 3 will help in generating a more systematic framework for understanding the various processes employed in implementing ISA, the interactions between ISA tools, the purpose for which they are employed; the environments within which they are applied; and their impacts.

Phase 3 will also involve taking stock of initiatives to study intersectoral action, both within countries and inside WHO with a view to seeing how the various pieces of work can lead to strengthening of the overall body of knowledge available on intersectoral action for health and health equity. Within WHO, the success of the CSDH report and the revitalization of the primary health care approach to improving health systems is renewing interest in intersectoral action and associated strategies (e.g. Health in All Policies, Healthy Public Policies) and tools (e.g. health (equity) impact assessment).

Questions
Your input to the following questions would help plan our next phase.

1.       Do you have any documented best practices or examples to share on how the health sector or other sectors have implemented ISA to reduce health inequity? (Not including the 18 country case studies used in our previous process)

2.       If you have studied ISA processes or mechanisms, what has been the specific focus (e.g. accountability frameworks, management mechanisms, building capacity, process tools) and what have you learned?

3.       If you have already developed and/or are in the process of developing specific tools to assist in ISA processes including models, building capacities, or training materials, we would appreciate receiving information on them along with contact information.

4.       What do you think is most needed to enhance the current knowledge base in terms of developing specific content areas on ISA (e.g. tools, models, resources, mechanisms) that would help facilitate the use of ISA in your organization or country?

5.       The WHO-PHAC ISA collaboration is proposing to develop a multi-institutional network to amplify, consolidate and sustain work in this area. It is envisaged that such a network would be instrumental in assisting WHO in developing formal guidance on ISA for Member States in the future, as well as in supporting documentation and sharing of best practices across countries. We would like to use this opportunity to canvas ideas from those working on ISA on the utility of such a network. What are your views on this proposed collaboration? Would you be interested in participating in and or supporting such a network?

Using the feedback and mapping you provide, WHO and PHAC will develop the next phases of work.
Updates will be communicated again via email and on the new WHO social determinants

Website: http://www.who.int/social_determinants/thecommission/countrywork/within/isa/en/

Please email your responses to WHO (ISA@who.int), by 1 May 2009

Thank you in advance for your participation in this process.

Tim Evans, Assistant Director General, Information, Evidence and Research Cluster, WHO

 Jim Ball, Director General, Strategic Initiatives and Innovations Directorate, PHAC

       
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Note d'information

Objet : L'OMS et l'ASPC veulent obtenir de la rétroaction sur la mise en œuvre de l'action intersectorielle (AI) en vue d'accroître l'équité en matière de santé

L'Organisation mondiale de la Santé (OMS) et l'Agence de la santé publique du Canada (ASPC) vous demandent votre avis, d'abord sur la façon dont l'action intersectorielle (AI) a été mise en œuvre en vue d'accroître l'équité en santé et, ensuite, sur la façon dont la collaboration de l'OMS et de l'ASPC dans le cadre de l'AI permettrait d'accroître les connaissances et les mesures d'AI dans l'avenir. Vous trouverez ci-dessous quelques questions ouvertes auxquelles nous vous invitons à répondre.

Veuillez envoyer vos réponses, le cas échéant, à l'adresse ISA@who.int, d'ici au 1er mai 2009.

Contexte

Au cours des trois dernières années, l'OMS et l'ASPC ont uni leurs efforts pour en apprendre davantage sur les méthodes intersectorielles efficaces et accroître leur utilisation. Ces travaux ont servi de guide à la Commission des déterminants sociaux de la santé (CDSS) de l'OMS pour la rédaction de son rapport définitif, ils ont permis d'accroître les connaissances liées à l'utilisation de l'AI pour réduire les inégalités sur le plan de la santé et ils ont fourni des renseignements aux décideurs menant des travaux intersectoriels ou intéressés de le faire. Pendant ces trois années, l'initiative a été axée sur les quatre activités qui suivent.

Phase 1 • Analyse de la documentation mondiale (Au croisement des secteurs – Expériences en action intersectorielle, en politique publique et en santé).

Phase 2
• Études de cas de 18 pays;
• Tenue d'un dialogue international dirigé, Conférence mondiale de 2007 de l'Union internationale de promotion de la santé et d'éducation pour la santé;
• L'équité en santé grâce à l'action intersectorielle: analyse d'études de cas dans 18 pays.

Les travaux de la phase 2 ont permis de dégager plusieurs exemples de modes de collaboration entre les différents intervenants et organismes qui tiennent compte des déterminants sociaux de la santé. Ils ont également montré la nécessité de mener un vaste examen systématique des mécanismes employés pour mettre en œuvre l'AI.

Phase 3
Afin de faire progresser nos travaux concertés sur l'AI, la phase 3 sera axée sur les mécanismes intersectoriels visant à améliorer l'équité en santé et sur les outils et la formation permettant de mettre en œuvre ces mécanismes. La phase 3 contribuera à créer un cadre systématique pour comprendre les divers processus servant à mettre en œuvre l'AI, les liens entre les outils d'AI, le but de leur utilisation, les environnements dans lesquels ils sont utilisés et leurs répercussions.

La phase 3 servira également à faire l'inventaire des initiatives d'étude de l'AI, entre les pays et au sein de l'OMS, afin de déterminer comment les divers travaux peuvent renforcer l'ensemble des connaissances sur l'AI liée à la santé et à l'équité en santé. Au sein de l'OMS, la réussite du rapport de la CDSS et la revitalisation de l'approche des soins primaires pour améliorer les systèmes de santé ravivent l'intérêt pour l'AI et les stratégies (p. ex. Health in All Policies; Healthy Public Policies) et les outils connexes (p. ex. évaluation de l'incidence de l'équité en santé).

Questions

En répondant aux questions suivantes, vous nous aiderez grandement à planifier la prochaine phase.

1.       Pouvez-vous nous faire part de pratiques exemplaires étayées ou d'exemples d'AI par le secteur de la santé ou d'autres secteurs visant à réduire les inégalités sur le plan de la santé? (À l'exception des 18 études de cas de pays utilisées à la phase précédente.)

2.       Si vous avez étudié des processus ou des mécanismes d'AI, sur quelle(s) dimension(s) avez-vous mis l'accent (p. ex. cadres de responsabilisation, mécanismes de gestion, renforcement des capacités, outils de travail) et qu'avez-vous appris?

3.       Si vous avez déjà créé, ou êtes en train de créer, des outils précis pour aider les processus d'AI, comme des modèles, le renforcement des capacités ou du matériel de formation, veuillez nous donner de l'information à leur sujet ainsi que les coordonnées de personnes-ressources avec qui nous pourrions communiquer.

4.       À votre avis, que faut-il faire pour accroître la base de connaissances eu égard à l'élaboration de contenu particulier pour l'AI (p. ex. outils, modèles, ressources, mécanismes) afin de faciliter l'action intersectorielle dans votre organisation ou votre pays?

5.       Les responsables de la collaboration entre l'OMS et l'ASPC en matière d'AI proposent de mettre au point un réseau pluriinstitutionnel pour accroître, consolider et soutenir les travaux dans le domaine. De l'avis général, le réseau aiderait grandement l'OMS à élaborer des lignes directrices officielles pour les initiatives d'AI des États Membres dans l'avenir et appuierait la rédaction de documents et l'échange de pratiques exemplaires entre les pays. Nous aimerions profiter de l'occasion pour savoir ce que pensent les organisations travaillant à l'AI quant à l'utilité d'un tel réseau. Que pensez-vous de la collaboration proposée? Seriez­vous intéressé à participer à ce réseau ou à le soutenir?

L'OMS et l'ASPC utiliseront vos commentaires et vos avis pour élaborer les prochaines phases de leurs travaux. Des mises à jour vous seront envoyées par courriel et seront affichées sur le nouveau site Web de l'OMS sur les déterminants sociaux de la santé:
http://www.who.int/social_determinants/thecommission/countrywork/within/isa/en/

Veuillez faire parvenir vos réponses, le cas échéant, à l'OMS par courriel (ISA@who.int) d'ici au 1er mai 2009.

Nous vous remercions à l'avance de votre participation.

  

Tim Evans, Sous-directeur general, Information, bases factuelles et recherche, OMS

Jim Ball, Directeur general, Direction des initiatives stratégiques et des innovations, ASPC

       
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Nota informativa

Asunto: La Organización Mundial de la Salud (OMS) y la Agencia de Salud Pública de Canadá (ASPC) buscan sus aportes referidos a la aplicación de estrategias de Acción Intersectorial (AI) para mejorar la equidad en salud

La OMS y la Agencia de Salud Pública de Canadá (PHAC), desean contar con sus aportes respecto a cómo la acción intersectorial (AI) se ha aplicado para mejorar la equidad en salud en su país. Asimismo quisiéramos saber la forma en que el trabajo colaborativo que nuestras instituciones han venido desarrollando podría apoyar sus esfuerzos para incrementar el conocimiento y el desarrollo la AI en el futuro. Para tal fin, si usted tiene a bien apoyar nuestra iniciativa, hemos incluido algunas preguntas para su revisión y respuesta.

Agradeceremos que nos envíe las respuestas a las preguntas incluidas más abajo si es posible a más tardar el 1 de mayo de 2009 a la siguiente dirección: ISA@who.int 

Antecedentes / Contexto

La Organización Mundial de la Salud (OMS) y la Agencia de Salud Pública de Canadá (ASPC) han venido trabajado en una iniciativa conjunta en los tres últimos años para desarrollar y aumentar el conocimiento y la aplicación efectiva de enfoques intersectoriales. Los resultados de este trabajo en sus fases previas informaron el informe final de la Comisión sobre Determinantes Sociales de la Salud (CDSS) publicado en 2008. Asimismo, este trabajo colaborativo sirvió para tener un mayor conocimiento sobre el uso de la AI para reducir las inequidades en salud y proveyó lecciones para los encargados de formular políticas intersectoriales o aquellos interesados en trabajar en ellas. Esta iniciativa ha llevado a cabo cuatro actividades a lo largo de los últimos tres años:

Fase 1 • Revisión de literatura global y publicación del reporte (en idioma inglés): "Crossing Sectors - Experiences in Intersectoral Action, Public Policy and Health"

Fase 2
Preparación de estudios de caso de 18 países.
• Facilitación de un diálogo internacional y participación en la Conferencia de la Unión Internacional de Promoción y Educación para la Salud (Vancouver, 2007).
• Publicación del segundo reporte. "Equidad en Salud mediante la acción intersectorial: un análisis de 18 estudios de casos.

La fase 2 puso de manifiesto varios ejemplos de enfoques prometedores de colaboración entre diferentes actores e instituciones al abordar los determinantes de la salud. Al mismo tiempo, la fase 2 demostró la necesidad de entablar un proceso amplio y sistemático de revisión de mecanismos específicos mediante los cuales se ejecuta la AI en diferentes países.

Fase 3
Para continuar nuestro trabajo la fase 3 se centrará en mecanismos intersectoriales para mejorar la equidad en salud y en herramientas y/o entrenamiento utilizados para operativizar estos mecanismos. La fase 3 ayudará en la generación de un marco más sistemático para la comprensión de los diferentes procesos usados en la implementación de la AI, las interacciones entre las herramientas para la AI, los fines para los que son empleados, los entornos en que se aplican así como sus impactos.

La fase 3 también servirá para hacer un balance de las iniciativas para estudiar la AI, tanto en los países y como a nivel de la OMS con miras a estudiar como diversas iniciativas en esta área pueden en su conjunto fortalecer el conocimiento disponible sobre la AI en salud y la equidad en salud. Dentro de la OMS, el reporte final de la CDSS y la revitalización de las propuestas sobre Atención Primaria en Salud (APS) para la mejora de los sistemas de salud está renovando a su vez el interés en la AI así como las estrategias (por ejemplo "Salud en Todas las Políticas", "Políticas Públicas Saludables") y herramientas (por ejemplo "evaluación de impacto en equidad en salud") asociadas a ella.

Cuestionario

1.       ¿Tiene documentada mejores prácticas o ejemplos para compartir sobre cómo el sector salud u otros sectores han implementado en la práctica la AI para reducir la inequidad en salud? (No incluir los 18 estudios de casos de países utilizados en la fase 2).

2.       ¿Si usted ha estudiado los procesos o mecanismos de AI, cuál ha sido su área de interés particular? Por ejemplo, marcos de rendición de cuentas (accountablity frameworks), mecanismos de gestión, entrenamiento y generación de capacidades, herramientas de proceso (process tools). ¿Qué se ha aprendido con estos procesos o mecanismos? ¿Qué otras áreas han sido trabajadas?

3.       Si usted ha desarrollado y/o está desarrollando herramientas específicas para ayudar en procesos de AI incluyendo modelos, generación de capacidades, o materiales de entrenamiento u otros, agradeceríamos recibir información sobre estos así como con su información de contacto.

4.       ¿Qué cree usted que es lo más necesario para mejorar el actual conocimiento en esta área en cuanto al desarrollo de temas específicos en ISA (por ejemplo, herramientas, modelos, recursos, mecanismos, etc) que ayuden a facilitar el uso de ISA en su organización o país?

5.       En el marco del trabajo colaborativo, la OMS y la ASPC se han propuesto implementar una red de instituciones para ampliar, consolidar y asegurar la sostenibilidad del trabajo en esta área. Esta red en el futuro asistiría a la OMS en su tarea de proponer orientaciones formales a los Estados Miembros relacionadas a AI. Asimismo, la red apoyaría a la OMS documentando mejores prácticas sobre AI y diseminándolas entre los Estados Miembros. Quisiéramos tener una opinión preliminar de parte de aquellos que trabajan actualmente temas de AI acerca de la utilidad de esta red. ¿Cuáles son sus puntos de vista sobre esta propuesta? ¿Estaría usted o su institución interesado en participar y/o apoyar en esta red?

Sus aportes serán de mucha utilidad para nuestras instituciones en el desarrollo de las siguientes fases de nuestro trabajo colaborativo. Más información será comunicada a usted en el futuro vía correo electrónico y a través del nuevo sitio web sobre determinantes sociales de la salud de la OMS:
http://www.who.int/social_determinants/thecommission/countrywork/within/isa/en/

Agradeceremos mucho que nos envíe sus aportes si le es posible a más tardar 
 (ISA@who.int)  el 1 de mayo de 2009. 

Le damos de antemano las gracias por su participación en este proceso.

 

Tim Evans, Subdirector General de Información, Pruebas Científicas e Investigaciones, OMS

Jim Ball, Director General, Dirección de Iniciativas Estratégicas e Innovación, ASPC

       
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*      *     *

This message from the Pan American Health Organization, PAHO/WHO, is part of an effort to disseminate
information Related to: Equity; Health inequality; Socioeconomic inequality in health; Socioeconomic
health differentials; Gender; Violence; Poverty; Health Economics; Health Legislation; Ethnicity; Ethics;
Information Technology - Virtual libraries; Research & Science issues.  [DD/ KMC Area]

"Materials provided in this electronic list are provided "as is". Unless expressly stated otherwise, the findings
and interpretations included in the Materials are those of the authors and not necessarily of The Pan American
Health Organization PAHO/WHO or its country members".
------------------------------------------------------------------------------------
PAHO/WHO Website

Equity List - Archives - Join/remove: http://listserv.paho.org/Archives/equidad.html

    IMPORTANT: This transmission is for use by the intended recipient and it may contain privileged, proprietary or confidential information. If you are not the intended recipient or a person responsible for delivering this transmission to the intended recipient, you may not disclose, copy or distribute this transmission or take any action in reliance on it. If you received this transmission in error, please notify us immediately by email to infosec@paho.org, and please dispose of and delete this transmission. Thank you.  

[EQ] Eliminating World Poverty: Building Our Common Future

Eliminating World Poverty: Building Our Common Future

 

The Department for International Development (DFID), 2009

 

Available online as PDF file [32p.] at: http://www.dfid.gov.uk/securingourcommonfuture/conference-paper-eliminating-poverty.pdf

 

This background paper for the DFID annual conference "Securing our Common Future: A Conference on the Future of International Development" (9-10 March 2009, London)

 

“….According to the paper, the current global recession seriously threatens the achievement of the Millennium Development Goals, and may push more than 90 million people into poverty. Times are uncertain, because the scale of the downturn is not yet known, and the impact could be even more serious. Combined with other huge challenges already happening, or on the horizon, including the demands of a growing population and the onset of climate change, this is an important moment to reaffirm our commitment to international development and to review priorities….”

 

Part one briefly reviews recent progress in developing countries. Part two sets out the emerging challenges, both immediate and longer term. Part three sets out a series of questions for consideration in priority policy areas in response to the emerging challenges….”

 

Table of Contents

Executive Summary

Introduction

Part One: Recent Progress in Developing Countries

Part Two: The Challenges

Food and Fuel Crises

Financial and Economic Crises

Poverty in Fragile and Conflict Affected Countries

Population and Urbanisation

Managing Climate and Resource Stress

The Challenge to Globalisation

Ensuring an International System Fit for Purpose

Part Three: The Response

Managing the Crisis and Re-establishing Growth

Fragile and Conflict Affected Countries

Climate Change

Ensuring System Wide Effectiveness

Overcoming Food Insecurity

The Millennium Development Goals

Bibliography

 

 

 

*      *     *

This message from the Pan American Health Organization, PAHO/WHO, is part of an effort to disseminate
information Related to: Equity; Health inequality; Socioeconomic inequality in health; Socioeconomic
health differentials; Gender; Violence; Poverty; Health Economics; Health Legislation; Ethnicity; Ethics;
Information Technology - Virtual libraries; Research & Science issues.  [DD/ KMC Area]

“Materials provided in this electronic list are provided "as is". Unless expressly stated otherwise, the findings
and interpretations included in the Materials are those of the authors and not necessarily of The Pan American
Health Organization PAHO/WHO or its country members”.
------------------------------------------------------------------------------------
PAHO/WHO Website

Equity List - Archives - Join/remove: http://listserv.paho.org/Archives/equidad.html

 

 

 

    IMPORTANT: This transmission is for use by the intended recipient and it may contain privileged, proprietary or confidential information. If you are not the intended recipient or a person responsible for delivering this transmission to the intended recipient, you may not disclose, copy or distribute this transmission or take any action in reliance on it. If you received this transmission in error, please notify us immediately by email to infosec@paho.org, and please dispose of and delete this transmission. Thank you.  

[EQ] Course: Inequalities in Health and Health Care - Geneva June 8 to 12, 2009

Inequalities in Health and Health Care

 

Location: University of GenevaSwitzerland

Dates: June 8 to 12, 2009

 

Lecturers:

Prof. Eddy van Doorslaer (Erasmus University, Rotterdam, Netherlands)

Dr Owen O’Donnell (University of Macedonia, Thessaloniki, Greece)

 

Website: http://www.hec.unil.ch/iems/Enseignement/contact/ssph_brochure_web.pdf  [page 8.]

 

Description:  This course is intended for PhD students and other researchers interested in the quantitative analysis of inequality and inequity in health and health care. The course consists of five days of lectures and tutorials on a number of topics related to the measurement and explanation of inequities/inequalities in health. Apart from providing a general introduction into the range of approaches available to researchers, it will also provide practical experience of computation using Stata. Illustrations will be based on real-world examples drawn from evidence in European and other OECD countries, as well as developing countries.

 

Objectives: 

·         To review health economics approaches to the measurement of inequality and inequity (most of which were developed in the context of the European ECuity Project)

·         To provide detailed guidance on computational procedures using Stata

·         To provide hands-on experience with computation-based exercises

 

Course text:

O. O’Donnell, E. van Doorslaer, A. Wagstaff and M. Lindelow (2008) Analysing Health Equity using Household Survey Data,
Washington DC, World Bank. www.worldbank.org/analyzinghealthequity



Analyzing Health Equity Using Household Survey Data

 

Health equity has become an increasingly popular research topic during the course of the past 25 years. Many factors explain this trend, including a growing demand from policymakers, better and more plentiful household data, and increased computer power. But progress in quantifying and understanding health equities would not have been possible without appropriate analytic techniques. These techniques are the subject of this book.

The book includes chapters dealing with data issues and the measurement of the key variables in health equity analysis

(Part i), quantitative techniques for interpreting and presenting health equity data
(Part ii), and the application of these techniques in the analysis of equity in health care utilization and health care spending
(Part iii). The aim of the book is to provide researchers and analysts with a step-by-step practical guide to the measurement of a variety of aspects of health equity, with worked examples and computer code, mostly for the computer program Stata.

The book can be ordered online, and electronic versions of the chapters can be downloaded using the links below. Also available are Powerpoint lectures of chapters, customizable "do" files for use in Stata, a Stata "ado" file for dominance checking, and an Excel file for computing standard errors of the concentraiton index with grouped data.

Electronic versions of the book and individual chaptersPowerpoint lecturesStata and Excel files

Electronic versions of the book and individual chapters:

Download:   Complete Book  (PDF 6.42MB)

Table of Contents (PDF 58kb)

Ch. 1:  Introduction (PDF 119kb)

Ch. 2:  Data for Health Equity Analysis: Requirements, Sources and Sample Designs (PDF 159kb)

Ch. 3:  Health Outcome #1: Child Survival (PDF 107kb)

Ch. 4:  Health Outcome #2: Anthropometrics (PDF 1.05MB)

Ch. 5:  Health Outcome #3: Adult Health (PDF 156kb)

Ch. 6:  Measurement of Living Standards (PDF 188kb)

Ch. 7:  Concentration Curves (PDF 134kb)

Ch. 8:  The Concentration Index (PDF 176kb)

Ch. 9:  Extensions to the Concentration Index: Inequality Aversion and the Health Achievement Index (PDF 132kb)

Ch. 10:  Multivariate Analysis of Health Survey Data (PDF 188kb)

Ch. 11:  Nonlinear Models for Health and Medical Expenditure Data (PDF 194kb)

Ch. 12:  Explaining Differences Between Groups: Oaxaca Decomposition (PDF 166kb)

Ch. 13:  Explaining Socioeconomic-Related Health Inequality: Decomposition of the Concentration Index (PDF 95.5kb)

Ch. 14:  Who Benefits from Health Sector Subsidies? Benefit Incidence Analysis  (PDF 177kb)

Ch. 15:  Measuring and Explaining Inequity in Health Service Delivery (PDF 123kb)

Ch. 16:  Who Pays for Health Care? Progressivity of Health Finance  (PDF 154kb)

Ch. 17:  Redistributive Effect of Health Finance (PDF 78.9kb)

Ch. 18:  Catastrophic Payments for Health Care (PDF 134kb)

Ch. 19:  Health Care Payments and Poverty (PDF 107kb)

 

Powerpoint lectures (NB slides have notes beneath them, so you may want to right-click and save the PPT file so you can print it out with the notes showing):

Ch. 1: Introduction (PPT 556kb)

Ch. 2: Data for Health Equity Analysis: Requirements, Sources and Sample Designs (PPT 219kb)

Ch. 3: Health Outcome #1: Child Survival (PPT 166kb)

Ch. 4: Health Outcome #2: Anthropometrics (PPT 392kb)

Ch. 5: Health Outcome #3: Adult Health (PPT 426kb)

Ch. 6: Measurement of Living Standards (PPT 238kb)

Ch. 7: Concentration Curves (PPT 141kb)

Ch. 8: The Concentration Index (PPT 254kb)

Ch. 9: Extensions to the Concentration Index: Inequality Aversion and the Health Achievement Index (PPT 123kb)

Ch. 10: Multivariate Analysis of Health Survey Data (PPT 205kb)

Ch. 11: Nonlinear Models for Health and Medical Expenditure Data (PPT 320kb)

Ch. 12: Explaining Differences Between Groups: Oaxaca Decomposition (PPT 231kb)

Ch. 13: Explaining Socioeconomic-Related Health Inequality: Decomposition of the Concentration Index (PPT 274kb)

Ch. 14: Who Benefits from Health Sector Subsidies? Benefit Incidence Analysis (PPT 359kb)

Ch. 15: Measuring and Explaining Inequity in Health Service Delivery (PPT 213kb)

Ch. 16: Who Pays for Health Care? Progressivity of Health Finance (PPT 416kb)

Ch. 17: Redistributive Effect of Health Finance (PPT 268kb)

Ch. 18: Catastrophic Payments for Health Care (PPT 287kb)

Ch. 19: Health Care Payments and Poverty (PPT 465kb)

 

Stata programs and Excel files to accompany Analyzing Health Equity Using Household Survey Data:

Stata do files for individual chapters (right-click to save file)

Ch. 5: Health Outcome #3: Adult Health (DO 12.4kb)

Ch. 7: Concentration Curves (DO 12.9kb)

Ch. 8: The Concentration Index (DO 6.12kb)

Ch. 9: Extensions to the Concentration Index: Inequality Aversion and the Health Achievement Index (DO 3.06kb)

Ch. 10: Multivariate Analysis of Health Survey Data (DO 5.83kb)

Ch. 11: Nonlinear Models for Health and Medical Expenditure Data (DO 7.15kb)

Ch. 12: Explaining Differences Between Groups: Oaxaca Decomposition (DO 3.78kb)

Ch. 13: Explaining Socioeconomic-Related Health Inequality: Decomposition of the Concentration Index (DO 4.11kb)

Ch. 14: Who Benefits from Health Sector Subsidies? Benefit Incidence Analysis (DO 4.41kb)

Ch. 15: Measuring and Explaining Inequity in Health Service Delivery (DO 14.3kb)

Ch. 16: Who Pays for Health Care? Progressivity of Health Finance (DO 7.92kb)

Ch. 17: Redistributive Effect of Health Finance (DO 4.78kb)

Ch. 18: Catastrophic Payments for Health Care (DO 6.67kb)

Ch. 19: Health Care Payments and Poverty (DO 6.12kb)

p

 

 

Further details and application form:

 

http://www.hec.unil.ch/iems/Enseignement/contact/telechargement?set_language=en&cl=en

 

 

Dr. Gilles de Weck, Network Health Economics

HEC – Dorigny CH-1015 Lausanne

Tel.: +4121 692 33 92 gdeweck@unil.ch

 

 

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