S P D I S C U S S I O N PA P E R NO. ****
Beyond DALYs: Developing
Indicators to Assess the
Impact of Public Health
Summary Findings
Interventions on the Lives of
This review of World Bank lending for social funds covers fiscal
People with Disabilities
years 2000 to 2007, and comes twenty years after the establishment
of the first World Bank-funded social fund in Bolivia (1987).
The review s objective is to assess the evolution of the social
Daniel Mont
funds portfolio, with a specific focus on the fiscal years 2000 to
and
2007, and the portfolio s role in the implementation of the Social
Protection Sector Strategy (SPSS). Lending trends, the evolution Mitchell Loeb
of the social funds model, and future implications of the review s
major findings are also discussed.
May 2008
HUMAN DEVELOPMENT NETWORK
About this series...
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and do not necessarily reflect the views of the International Bank for Reconstruction and Development
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Beyond DALYs: Developing Indicators to Assess the Impact of
Public Health Interventions on the Lives of People with
Disabilities
Daniel Mont
Disability & Development Team
HDNSP
The World Bank
Mitchell Loeb
Office of Analysis and Epidemiology
National Center for Health Statistics
Centers for Disease Control & Prevention
May 2008
Acknowledgements
We would like to thank Barbara Altman, Linda Bilheimer, Jeanine Braithwaite, Jed
Friedman, Scott Grosse, Don Lollar, Diane Makuc, Jennifer Madans, Kelechi Ohiri, Pia
Rockhold, Julian Schweitzer, and S ndor Sipos for their comments on earlier drafts.
Abstract
Two indicators the Activity Limitation Score (ALS) and the Participation Restriction
Score (PRS) are presented in this paper for use in assessing the impact of public health
interventions on the lives of disabled people. They address a gap in the Disability-
Adjusted Life Years (DALY) approach which is not sensitive to changes in people s
functional status resulting from interventions that do not change an underlying medical
diagnosis. Household data from Zambia are used to explore the potential usefulness of
these measures.
JEL Classification: C8 - Data Collection and Data Estimation Methodology; Computer
Programs, I10 - Health General, J14 - Economics of the Edlerly; Economics of the
Handicapped
Keywords: Disability, Indicators, Health, DALY Measurement
The findings, interpretations, and conclusions expressed herein are those of the authors,
and do not necessarily represent or reflect the views of the National Center for Health
Statistics, Centers for Disease Control and Prevention, the International Bank for
Reconstruction and Development / The World Bank and its affiliated organizations, or
those of the Executive Directors of The World Bank or the governments they represent.
i
ACRONYMS
ALS Activity Limitation Score
DALYs Disability-Adjusted Life Years
ICF WHO s International Classification of Functioning, Disability and Health
PRS Participation Restriction Score
SEAs Standard Enumeration Areas
UN United Nations
WHO World Health Organization
ii
Introduction
Disability and poverty are intricately linked [1, 2, 3, 4, 5]. Roughly 10-12 percent of the
world s population has a disability [6] and they are among the poorest of the poor [5].
Including people with disabilities in economic development activities, therefore, is key to
achieving the UN Millennium Development Goals [7] of ending poverty and hunger,
providing universal education, and improving health outcomes.
Recently, as evidenced by the passage of the UN Convention on the Rights of Persons
with Disabilities [8], more attention is being focused on interventions designed to be
more inclusive and have an impact on disabled people s lives. In order to evaluate these
interventions it is necessary to have indicators capable of assessing the impact of policies
and programs on the lives of disabled people.
Disability-Adjusted Life Years (DALYs) are a frequently used indicator for assessing the
relative effect of public health interventions for disabled people. The introduction of
DALYs, as opposed to only using mortality, was an advance in that it incorporates a
measure of the impact of living with a disability [9]. With the implementation of
DALYs, conditions which were non-fatal but were at the root of significant disabilities
rose in importance in the field of public health, such as onchocersiasis (river blindness).
While an extensive literature evaluates the approach embodied in DALYs, [10,11,12],
this paper focuses on a single aspect the inability of DALYs to record improvements in
the functioning of disabled people by means that are non-curative, and thus do not
remove a person s underlying medical diagnosis [10].
DALYs do not reflect the change in people s functional status or well-being if they
receive rehabilitation services, assistive devices, accommodations, or live in a society that
has become more open and accessible to individuals with functional limitations. DALYs
only reflect the presence of a medical condition that is associated with certain functional
limitations. Therefore, public health interventions that mitigate the effects of a health
condition but do not cure it, get no credit.
This paper proposes two measures for assessing the impact of interventions on the lives
of disabled people, the Activity Limitation Score (ALS) and the Participation restriction
Score (PRS). These measures are closely linked to the WHO s International
Classification of Functioning, Disability and Health (ICF) and the social model of
disability [13]. We believe these measures could become important tools in monitoring
the implementation of the recently ratified UN Convention on the Rights of Persons with
Disabilities.
The structure of this paper is as follows: After briefly describing the social model of
disability and the ICF, we present a series of indicators for capturing the functional status
of individuals. Then, using household survey data from Zambia, we explore the
usefulness of this measure as it relates to economic development outcomes.
1
The computer software programme SPSS (Release 13.0/15.0) was used for data entry and
data analyses. Analyses comprise univariate, bivariate and multivariate techniques. The
significance of observed associations and/or differences between variables was tested
using the Student s t-test, the Pearson correlation coefficient (r), and linear regression. A
difference was considered to be statistically significant if p