Tuesday, October 21, 2008

[EQ] Review of guidelines for good practice in decision-analytic modelling in health technology assessment

Review of guidelines for good practice in decision-analytic modelling in health technology assessment

 

Z Philips,1 L Ginnelly,1* M Sculpher,1 K Claxton,1,2 S Golder,3 R Riemsma,3 N Woolacott3 and J Glanville3

1 Centre for Health Economics, University of York, UK

2 Department of Economics, University of York, UK

3 Centre for Reviews and Dissemination, University of York, UK


Health Technology Assessment
2004; Vol. 8: No. 36

 

Available online PDF [179p.] at: http://www.hta.ac.uk/fullmono/mon836.pdf

 

Objectives: To identify existing guidelines and develop a synthesised guideline plus accompanying checklist. In addition to provide guidance on key theoretical, methodological and practical issues and consider the implications of this research for what might be expected of future decision-analytic models.


Data sources:
Electronic databases.


Review methods:
A systematic review of existing good practice guidelines was undertaken to identify and summarise guidelines currently available for assessing

the quality of decision-analytic models that have been undertaken for health technology assessment. A synthesised good practice guidance and accompanying

checklist was developed. Two specific methods areas in decision modelling were considered. The first method’s topic is the identification of parameter estimates from published literature. Parameter searches were developed and piloted using a case-study model.

 

The second topic relates to bias in parameter estimates; that is, how to adjust estimates of treatment effect from observational studies where there are risks of selection bias. A systematic literature review was conducted to identify those studies looking at quantification of bias in parameter estimates and the implication of this bias.

 

Content:

 

Executive summary

1 Introduction

2 A framework for good practice in decision analytic modelling studies: review of current guidelines

3 Development of a best practice guideline

Developing the synthesised guidance

Statements of good practice

Applying the guidance: the use of case studies

4 Key methodological and practical issues not covered in existing published guidelines

Appropriate methods for the identification and quality assessment of secondary parameter estimates such as utilities, costs, incidence and prevalence

Effects of selection bias on treatment outcomes

5 Discussion

Review of guidelines for quality assessment in decision models

Methods in decision modelling

Implications for the NICE technology assessment and appraisal process

Recommendations for research

 

References

 

Appendix 1 Search strategies for guidelines of good practice in decision modelling

Appendix 2 Summary of guidelines available in structured format

Appendix 3 Quality assessment in decision-analytic models: a suggested checklist

Appendix 4 Application of the checklist to three decision models

Appendix 5 Members of the Expert

Appendix 6 Comments from the Expert Advisory Group and amended checklist

Appendix 7 Bibliography

Appendix 8 Search strategies and results of the case study

Appendix 9 Searches for the effects

 

 

 

 

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[EQ] A glossary of culture in epidemiology

A glossary of culture in epidemiology


D J Hruschka1, C Hadley2
1 Santa Fe Institute, Santa Fe, New Mexico, USA
2 Emory University, Atlanta, Georgia, USA
Journal of Epidemiology and Community Health - November  2008; 62:947-951

Abstract at: http://jech.bmj.com/cgi/content/abstract/62/11/947?etoc

“…..Culture frequently is used to explain population differences in health. This glossary defines key concepts and terms relevant to the concept of culture and describes three challenges—definitional, theoretical, and methodological—in identifying specific pathways by which culture affects health.

Culture is frequently invoked to account for population differences in health and to explain the diverse ways that people interpret and treat similar medical conditions. Underlying many uses of the term is the view of culture as a shared system of learned norms, beliefs, values and behaviours that differ across populations defined by region, nationality, ethnicity or religion.13      

Culture has been proposed to affect health in three key ways

·          First, people use culturally specific explanatory models to think about, talk about, and direct care for health problems. This can lead to different patterns of health-seeking and prevention, as well as mismatched provision of care.46

·         Second, cultural habits and practices can protect against, modify or create novel vectors for transmissible disease through, for example, eating culturally preferred raw or undercooked food,7 8 hygienic practices such as hand-washing,9 modes of sexual activity,10 and patterns of social interaction such as mass pilgrimages.11

·         Third, culture indirectly influences health when learned beliefs, values, and norms affect such daily activities as food consumption,12 physical activity, and drug use13 in a way that increases (or decreases) the risk of non-communicable diseases. ….”

 

 

 

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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/ KMS 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”.

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    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] Chile: Presentacion del Informe sobre Determinantes Sociales

Chile - Presentación del Informe:

SUBSANAR LAS DESIGUALDADES EN UNA GENERACIÓN


ALCANZAR LA EQUIDAD SANITARIA ACTUANDO SOBRE LOS DETERMINANTES SOCIALES DE LA SALUD

 

Ministerio de salud de Chile, Septiembre 2008

Website: http://webhosting.redsalud.gov.cl/minsal/temas_salud/determinantes.html

‘…Presentación de  la estrategia de desarrollo de Chile, que se ha sustentado en 3 pilares fundamentales, la democracia, el crecimiento económico y el compromiso del Estado con el desarrollo social, teniendo como eje la articulación de las políticas económicas y las políticas sociales….”

 

 

 

Presentaciones sobre:
Comisión Mundial de Determinantes Sociales de la Salud (CDSS) de la Organización Mundial de la Salud

Otros Documentos

 

 

 

From: Francisca Infante [mailto:finfante@minsal.cl]
Gonzalo A Palma M Periodista Subsecretaría de Salud Pública, Ministerio de Salud
(56)-2-5740312 - gonzalo.palma@redsalud.gov.cl

 

 

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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/ KMS 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”.

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    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.