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Flat View Tuesday, July 25, 2017
 July 2017August 2017
Saturday, July 01, 2017
Measuring Equity In Health Financing And Delivery: Using Household Survey Data (8:00 AM)
 July 27 – August 9, 2017

About the course

Financial risk protection is a key goal of any health system. Mobilising adequate resources, utilizing them in an efficient way, distributing resources in a fair way and ensuring that services are delivered effectively are critical to any health system. Therefore, how much funds a nation spends on health care, who contributes to those funds, and how those resources are utilized are important questions that health systems face. Moreover, systems around the world also face several other challenges. For instance, financial implications of healthcare restrict poor households from seeking healthcare while also causing severe disruption in the living status of many others. Equity in access to healthcare services and the related financial burden on households, hence, has been one of the major concerns of health systems particularly in developing countries. Several tools are available to examine these questions and provide data for evidence-based policy-making. The National Health Accounts (NHA) is a macro tool which draws from System of Health Accounts (SHA, 2011), a derivative of System of National Accounts. Besides NHA, several analytic methods of equity analysis are often applied in healthcare financing to address the fundamental question that how different segments of population are protected from the financial burden of healthcare. This course is designed to equip middle-to-senior level functionaries in the government, for-profit and not-for-profit institutions, in day-to-day analytic functions that helps them in policy-making, planning and implementation of health care programs.

STATA 14 software will be used for demonstration and to work on the practical exercise. The participant is expected to know basic STATA for participating in the workshop.

Who should attend?

The course is designed for healthcare professionals working within government and non- government sectors and are engaged in policy design, programme impl ementation and monitoring and evaluation of such programmes in developing countries. Researchers and programme managers will benefit from this course by acquiring skills related to handling and in-depth analysis of household level data. The course is particularly designed for those who need to conduct NHA and perform equity analysis in healthcare finance, and those who need to understand in some depth the issues that health economists face when performing these analyses.


Download flyer




Impact Evaluation: Public Programmes In Health (9:00 AM)
Jul 31 – Aug 4, 2017

(Last date of registration: July 17, 2017))

About the course

This 5-day course on Impact Evaluation of Public Health Programmes aims to provide with the necessary scientific methodology and practical knowledge to meet the growing demand for rigorous impact evaluation of development programmes in general and public health programmes in particular. At the end of this course the participants will be able to understand fundamental concepts of ‘Treatment Effects’ and will be equipped to conduct quantitative rigorous impact evaluation. Through a combination of theory, application and practical examples this course will address:

  • How to design an impact evaluation – research design?
  • How do we frame the right evaluation questions and choose the right indicators?
  • How to design a cluster randomized control trial?
  • How to design a quasi-experimental study design?
  • What is role of confounders and how to control them?
  • How to use the study results for decision-making?

Stata 14 software will be used for demonstration and to work on the practical exercise. The participant is expected to know basic Stata for participating in the workshop. Since the course uses significant amount of statistical and econometric modelling, participants are also expected to have some basic knowledge of statistical and econometric tools.

Who should attend?

The course is designed for those who need to perform rigorous impact evaluation of public programmes, and those who need to understand in some depth the issues that health economists face when performing these analyses. Since the course offers practical methods to conduct these analyses, researchers and commercial and academic organizations concerned with monitoring and evaluation would be benefited by developing analytical skills during the course.

Registration Fee

Indian National: 12500 INR per participant
International Participant: 25000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request.

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.


Download flyer Download Application Form




Tuesday, July 25, 2017
Multilevel Modeling In Health Research Using Stata (9:00 AM)
July 24 – 28, 2017

(Last date of registration: July 10, 2017)

About the course

Individual’s health and behavioral outcomes are dependent on several factors arising not just from the individual self but also from surrounding contexts like family, neighborhood, workplace, social organizations and health care facilities. Only multilevel research can examine the effects of one factor at one level while controlling for potential confounding at another level or examine the interactions among factors situated at different levels. Understanding the interplay among etiologic factors situated at different levels of analysis will enable interventions to be targeted with greater precision, thus better ensuring their success. Multilevel modeling (MLM) techniques are designed to explore and analyze data that have hierarchical or clustered structure which is very common in data collected in the biological and social sciences.

This five day workshop organized at the Indian Institute of Public Health- Delhi aims to impart basic understanding in the concept behind multilevel models, formulate questions that can be answered by these models, and build a model for a given research question using Stata 14/MLwin and interpret statistical outputs. The workshop will consist of lectures, discussion of case studies and hands on practice Stata sessions using datasets

Contents

  • Review of standard linear and logistic regression models
  • Recognizing hierarchical structures in data
  • Accounting for clustering using
  • Robust variance method
  • Generalized Estimating Equation method (GEE)
  • Random Effect Methods (REM)
  • Using random effects to explore individual variation in outcomes
  • Analysis of Panel data/ Longitudinal data/ Repeated measurements
  • Exploring cross level interactions
  • Building a multilevel model in MLwin
  • Interpretation and reporting of fixed and random effects

Who should attend?

This workshop is suitable for researchers of public health, clinical care, social and behavioral sciences. Participants applying for this workshop are expected to have a strong hold on basic statistics and regression analysis using any statistical software package preferably Stata.

Registration Fee

Indian National: 12500 INR per participant
International Participant: 25000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.


Download flyer Download Application Form




Wednesday, July 26, 2017
Multilevel Modeling In Health Research Using Stata (9:00 AM)
July 24 – 28, 2017

(Last date of registration: July 10, 2017)

About the course

Individual’s health and behavioral outcomes are dependent on several factors arising not just from the individual self but also from surrounding contexts like family, neighborhood, workplace, social organizations and health care facilities. Only multilevel research can examine the effects of one factor at one level while controlling for potential confounding at another level or examine the interactions among factors situated at different levels. Understanding the interplay among etiologic factors situated at different levels of analysis will enable interventions to be targeted with greater precision, thus better ensuring their success. Multilevel modeling (MLM) techniques are designed to explore and analyze data that have hierarchical or clustered structure which is very common in data collected in the biological and social sciences.

This five day workshop organized at the Indian Institute of Public Health- Delhi aims to impart basic understanding in the concept behind multilevel models, formulate questions that can be answered by these models, and build a model for a given research question using Stata 14/MLwin and interpret statistical outputs. The workshop will consist of lectures, discussion of case studies and hands on practice Stata sessions using datasets

Contents

  • Review of standard linear and logistic regression models
  • Recognizing hierarchical structures in data
  • Accounting for clustering using
  • Robust variance method
  • Generalized Estimating Equation method (GEE)
  • Random Effect Methods (REM)
  • Using random effects to explore individual variation in outcomes
  • Analysis of Panel data/ Longitudinal data/ Repeated measurements
  • Exploring cross level interactions
  • Building a multilevel model in MLwin
  • Interpretation and reporting of fixed and random effects

Who should attend?

This workshop is suitable for researchers of public health, clinical care, social and behavioral sciences. Participants applying for this workshop are expected to have a strong hold on basic statistics and regression analysis using any statistical software package preferably Stata.

Registration Fee

Indian National: 12500 INR per participant
International Participant: 25000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.


Download flyer Download Application Form




Thursday, July 27, 2017
Multilevel Modeling In Health Research Using Stata (9:00 AM)
July 24 – 28, 2017

(Last date of registration: July 10, 2017)

About the course

Individual’s health and behavioral outcomes are dependent on several factors arising not just from the individual self but also from surrounding contexts like family, neighborhood, workplace, social organizations and health care facilities. Only multilevel research can examine the effects of one factor at one level while controlling for potential confounding at another level or examine the interactions among factors situated at different levels. Understanding the interplay among etiologic factors situated at different levels of analysis will enable interventions to be targeted with greater precision, thus better ensuring their success. Multilevel modeling (MLM) techniques are designed to explore and analyze data that have hierarchical or clustered structure which is very common in data collected in the biological and social sciences.

This five day workshop organized at the Indian Institute of Public Health- Delhi aims to impart basic understanding in the concept behind multilevel models, formulate questions that can be answered by these models, and build a model for a given research question using Stata 14/MLwin and interpret statistical outputs. The workshop will consist of lectures, discussion of case studies and hands on practice Stata sessions using datasets

Contents

  • Review of standard linear and logistic regression models
  • Recognizing hierarchical structures in data
  • Accounting for clustering using
  • Robust variance method
  • Generalized Estimating Equation method (GEE)
  • Random Effect Methods (REM)
  • Using random effects to explore individual variation in outcomes
  • Analysis of Panel data/ Longitudinal data/ Repeated measurements
  • Exploring cross level interactions
  • Building a multilevel model in MLwin
  • Interpretation and reporting of fixed and random effects

Who should attend?

This workshop is suitable for researchers of public health, clinical care, social and behavioral sciences. Participants applying for this workshop are expected to have a strong hold on basic statistics and regression analysis using any statistical software package preferably Stata.

Registration Fee

Indian National: 12500 INR per participant
International Participant: 25000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.


Download flyer Download Application Form




Measuring Equity In Health Financing And Delivery: Using Household Survey Data (8:00 AM)
July 27 – August 9, 2017

About the course

Financial risk protection is a key goal of any health system. Mobilising adequate resources, utilizing them in an efficient way, distributing resources in a fair way and ensuring that services are delivered effectively are critical to any health system. Therefore, how much funds a nation spends on health care, who contributes to those funds, and how those resources are utilized are important questions that health systems face. Moreover, systems around the world also face several other challenges. For instance, financial implications of healthcare restrict poor households from seeking healthcare while also causing severe disruption in the living status of many others. Equity in access to healthcare services and the related financial burden on households, hence, has been one of the major concerns of health systems particularly in developing countries. Several tools are available to examine these questions and provide data for evidence-based policy-making. The National Health Accounts (NHA) is a macro tool which draws from System of Health Accounts (SHA, 2011), a derivative of System of National Accounts. Besides NHA, several analytic methods of equity analysis are often applied in healthcare financing to address the fundamental question that how different segments of population are protected from the financial burden of healthcare. This course is designed to equip middle-to-senior level functionaries in the government, for-profit and not-for-profit institutions, in day-to-day analytic functions that helps them in policy-making, planning and implementation of health care programs.

STATA 14 software will be used for demonstration and to work on the practical exercise. The participant is expected to know basic STATA for participating in the workshop.

Who should attend?

The course is designed for healthcare professionals working within government and non- government sectors and are engaged in policy design, programme impl ementation and monitoring and evaluation of such programmes in developing countries. Researchers and programme managers will benefit from this course by acquiring skills related to handling and in-depth analysis of household level data. The course is particularly designed for those who need to conduct NHA and perform equity analysis in healthcare finance, and those who need to understand in some depth the issues that health economists face when performing these analyses.


Download flyer




Friday, July 28, 2017
Multilevel Modeling In Health Research Using Stata (9:00 AM)
July 24 – 28, 2017

(Last date of registration: July 10, 2017)

About the course

Individual’s health and behavioral outcomes are dependent on several factors arising not just from the individual self but also from surrounding contexts like family, neighborhood, workplace, social organizations and health care facilities. Only multilevel research can examine the effects of one factor at one level while controlling for potential confounding at another level or examine the interactions among factors situated at different levels. Understanding the interplay among etiologic factors situated at different levels of analysis will enable interventions to be targeted with greater precision, thus better ensuring their success. Multilevel modeling (MLM) techniques are designed to explore and analyze data that have hierarchical or clustered structure which is very common in data collected in the biological and social sciences.

This five day workshop organized at the Indian Institute of Public Health- Delhi aims to impart basic understanding in the concept behind multilevel models, formulate questions that can be answered by these models, and build a model for a given research question using Stata 14/MLwin and interpret statistical outputs. The workshop will consist of lectures, discussion of case studies and hands on practice Stata sessions using datasets

Contents

  • Review of standard linear and logistic regression models
  • Recognizing hierarchical structures in data
  • Accounting for clustering using
  • Robust variance method
  • Generalized Estimating Equation method (GEE)
  • Random Effect Methods (REM)
  • Using random effects to explore individual variation in outcomes
  • Analysis of Panel data/ Longitudinal data/ Repeated measurements
  • Exploring cross level interactions
  • Building a multilevel model in MLwin
  • Interpretation and reporting of fixed and random effects

Who should attend?

This workshop is suitable for researchers of public health, clinical care, social and behavioral sciences. Participants applying for this workshop are expected to have a strong hold on basic statistics and regression analysis using any statistical software package preferably Stata.

Registration Fee

Indian National: 12500 INR per participant
International Participant: 25000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.


Download flyer Download Application Form




Measuring Equity In Health Financing And Delivery: Using Household Survey Data (8:00 AM)
July 27 – August 9, 2017

About the course

Financial risk protection is a key goal of any health system. Mobilising adequate resources, utilizing them in an efficient way, distributing resources in a fair way and ensuring that services are delivered effectively are critical to any health system. Therefore, how much funds a nation spends on health care, who contributes to those funds, and how those resources are utilized are important questions that health systems face. Moreover, systems around the world also face several other challenges. For instance, financial implications of healthcare restrict poor households from seeking healthcare while also causing severe disruption in the living status of many others. Equity in access to healthcare services and the related financial burden on households, hence, has been one of the major concerns of health systems particularly in developing countries. Several tools are available to examine these questions and provide data for evidence-based policy-making. The National Health Accounts (NHA) is a macro tool which draws from System of Health Accounts (SHA, 2011), a derivative of System of National Accounts. Besides NHA, several analytic methods of equity analysis are often applied in healthcare financing to address the fundamental question that how different segments of population are protected from the financial burden of healthcare. This course is designed to equip middle-to-senior level functionaries in the government, for-profit and not-for-profit institutions, in day-to-day analytic functions that helps them in policy-making, planning and implementation of health care programs.

STATA 14 software will be used for demonstration and to work on the practical exercise. The participant is expected to know basic STATA for participating in the workshop.

Who should attend?

The course is designed for healthcare professionals working within government and non- government sectors and are engaged in policy design, programme impl ementation and monitoring and evaluation of such programmes in developing countries. Researchers and programme managers will benefit from this course by acquiring skills related to handling and in-depth analysis of household level data. The course is particularly designed for those who need to conduct NHA and perform equity analysis in healthcare finance, and those who need to understand in some depth the issues that health economists face when performing these analyses.


Download flyer




Saturday, July 29, 2017
Measuring Equity In Health Financing And Delivery: Using Household Survey Data (8:00 AM)
July 27 – August 9, 2017

About the course

Financial risk protection is a key goal of any health system. Mobilising adequate resources, utilizing them in an efficient way, distributing resources in a fair way and ensuring that services are delivered effectively are critical to any health system. Therefore, how much funds a nation spends on health care, who contributes to those funds, and how those resources are utilized are important questions that health systems face. Moreover, systems around the world also face several other challenges. For instance, financial implications of healthcare restrict poor households from seeking healthcare while also causing severe disruption in the living status of many others. Equity in access to healthcare services and the related financial burden on households, hence, has been one of the major concerns of health systems particularly in developing countries. Several tools are available to examine these questions and provide data for evidence-based policy-making. The National Health Accounts (NHA) is a macro tool which draws from System of Health Accounts (SHA, 2011), a derivative of System of National Accounts. Besides NHA, several analytic methods of equity analysis are often applied in healthcare financing to address the fundamental question that how different segments of population are protected from the financial burden of healthcare. This course is designed to equip middle-to-senior level functionaries in the government, for-profit and not-for-profit institutions, in day-to-day analytic functions that helps them in policy-making, planning and implementation of health care programs.

STATA 14 software will be used for demonstration and to work on the practical exercise. The participant is expected to know basic STATA for participating in the workshop.

Who should attend?

The course is designed for healthcare professionals working within government and non- government sectors and are engaged in policy design, programme impl ementation and monitoring and evaluation of such programmes in developing countries. Researchers and programme managers will benefit from this course by acquiring skills related to handling and in-depth analysis of household level data. The course is particularly designed for those who need to conduct NHA and perform equity analysis in healthcare finance, and those who need to understand in some depth the issues that health economists face when performing these analyses.


Download flyer




Sunday, July 30, 2017
Measuring Equity In Health Financing And Delivery: Using Household Survey Data (8:00 AM)
July 27 – August 9, 2017

About the course

Financial risk protection is a key goal of any health system. Mobilising adequate resources, utilizing them in an efficient way, distributing resources in a fair way and ensuring that services are delivered effectively are critical to any health system. Therefore, how much funds a nation spends on health care, who contributes to those funds, and how those resources are utilized are important questions that health systems face. Moreover, systems around the world also face several other challenges. For instance, financial implications of healthcare restrict poor households from seeking healthcare while also causing severe disruption in the living status of many others. Equity in access to healthcare services and the related financial burden on households, hence, has been one of the major concerns of health systems particularly in developing countries. Several tools are available to examine these questions and provide data for evidence-based policy-making. The National Health Accounts (NHA) is a macro tool which draws from System of Health Accounts (SHA, 2011), a derivative of System of National Accounts. Besides NHA, several analytic methods of equity analysis are often applied in healthcare financing to address the fundamental question that how different segments of population are protected from the financial burden of healthcare. This course is designed to equip middle-to-senior level functionaries in the government, for-profit and not-for-profit institutions, in day-to-day analytic functions that helps them in policy-making, planning and implementation of health care programs.

STATA 14 software will be used for demonstration and to work on the practical exercise. The participant is expected to know basic STATA for participating in the workshop.

Who should attend?

The course is designed for healthcare professionals working within government and non- government sectors and are engaged in policy design, programme impl ementation and monitoring and evaluation of such programmes in developing countries. Researchers and programme managers will benefit from this course by acquiring skills related to handling and in-depth analysis of household level data. The course is particularly designed for those who need to conduct NHA and perform equity analysis in healthcare finance, and those who need to understand in some depth the issues that health economists face when performing these analyses.


Download flyer




Monday, July 31, 2017
Measuring Equity In Health Financing And Delivery: Using Household Survey Data (8:00 AM)
July 27 – August 9, 2017

About the course

Financial risk protection is a key goal of any health system. Mobilising adequate resources, utilizing them in an efficient way, distributing resources in a fair way and ensuring that services are delivered effectively are critical to any health system. Therefore, how much funds a nation spends on health care, who contributes to those funds, and how those resources are utilized are important questions that health systems face. Moreover, systems around the world also face several other challenges. For instance, financial implications of healthcare restrict poor households from seeking healthcare while also causing severe disruption in the living status of many others. Equity in access to healthcare services and the related financial burden on households, hence, has been one of the major concerns of health systems particularly in developing countries. Several tools are available to examine these questions and provide data for evidence-based policy-making. The National Health Accounts (NHA) is a macro tool which draws from System of Health Accounts (SHA, 2011), a derivative of System of National Accounts. Besides NHA, several analytic methods of equity analysis are often applied in healthcare financing to address the fundamental question that how different segments of population are protected from the financial burden of healthcare. This course is designed to equip middle-to-senior level functionaries in the government, for-profit and not-for-profit institutions, in day-to-day analytic functions that helps them in policy-making, planning and implementation of health care programs.

STATA 14 software will be used for demonstration and to work on the practical exercise. The participant is expected to know basic STATA for participating in the workshop.

Who should attend?

The course is designed for healthcare professionals working within government and non- government sectors and are engaged in policy design, programme impl ementation and monitoring and evaluation of such programmes in developing countries. Researchers and programme managers will benefit from this course by acquiring skills related to handling and in-depth analysis of household level data. The course is particularly designed for those who need to conduct NHA and perform equity analysis in healthcare finance, and those who need to understand in some depth the issues that health economists face when performing these analyses.


Download flyer




Impact Evaluation: Public Programmes In Health (9:00 AM)
Jul 31 – Aug 4, 2017

(Last date of registration: July 17, 2017))

About the course

This 5-day course on Impact Evaluation of Public Health Programmes aims to provide with the necessary scientific methodology and practical knowledge to meet the growing demand for rigorous impact evaluation of development programmes in general and public health programmes in particular. At the end of this course the participants will be able to understand fundamental concepts of ‘Treatment Effects’ and will be equipped to conduct quantitative rigorous impact evaluation. Through a combination of theory, application and practical examples this course will address:

  • How to design an impact evaluation – research design?
  • How do we frame the right evaluation questions and choose the right indicators?
  • How to design a cluster randomized control trial?
  • How to design a quasi-experimental study design?
  • What is role of confounders and how to control them?
  • How to use the study results for decision-making?

Stata 14 software will be used for demonstration and to work on the practical exercise. The participant is expected to know basic Stata for participating in the workshop. Since the course uses significant amount of statistical and econometric modelling, participants are also expected to have some basic knowledge of statistical and econometric tools.

Who should attend?

The course is designed for those who need to perform rigorous impact evaluation of public programmes, and those who need to understand in some depth the issues that health economists face when performing these analyses. Since the course offers practical methods to conduct these analyses, researchers and commercial and academic organizations concerned with monitoring and evaluation would be benefited by developing analytical skills during the course.

Registration Fee

Indian National: 12500 INR per participant
International Participant: 25000 INR per participant

The registration fee includes course kit, lunch and snacks. Please note that the participants will have to bear their own travel, boarding and lodging expenses. However, the organizers will be able to provide a list of hotels or guesthouses nearby the institute upon request.

How to Apply?

Interested participants may email their completed registration form at This e-mail address is being protected from spambots. You need JavaScript enabled to view it and submit the fee by E-transfer or by Demand Draft in favor of “Public Health Foundation of India” payable Delhi and dispatch to the key contact person. Bank details for E-transfer will be shared upon request. We do not accept cash.


Download flyer Download Application Form




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