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The Challenge of Cross-Cultural Quality of Life Assessment

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Title: The Challenge of Cross-Cultural Quality of Life Assessment


1
The Challenge of Cross-Cultural Quality of Life
Assessment
  • Monika Bullinger, Silke Schmidt
  • Institute of Medical Psychology
  • University of Hamburg

2
Background
  • Interest in Health-Related Quality of Life as
  • descriptor of functioning and well-being of
    populations with and without medical conditions
    (epidemiological perspective)
  • outcome criterion for interventions
    (clinical perspective)
  • an aid for decision making in the health care
    field (political perspective)

3
Meanings of the term international
  • political nation
  • geographical country
  • anthropological culture
  • sociological society
  • psychological identity

language
4
Demands
  • Measures of Quality of Life should be sensitive
    to
  • language and dialect
  • customs, beliefs and traditions
  • education and socioeconomic status
  • Nat. Cancer Institute 1992

5
Essential questions
  • Is Quality of Life a relevant concept in a given
    nation/ culture?
  • Do nations/cultural groups share an identical set
    of concepts about Quality of Life?
  • Can Quality of Life concepts be assessed with
    instruments?
  • Is Quality of Life measurable across
    nations/cultures with the same
    instrument?
  • Can Quality of Life data be compared across
    nations/ cultures?
  • Do cross-cultural Quality of Life results provide
    a sound basis for decision making?

6
Problems
  • Ethnocentrism?
  • Normativity of concept?
  • Bias in assessment?
  • Ethical consequences?

7
Statement
  • "Although some researchers may desire a scale or
  • similar instruments for global assessments of
  • cultures, permitting comparison of the "nature"
    of
  • one culture with another (...), no such scale
    exists.
  • In fact, given the multiplicity of variables or
    domains
  • comprising a culture, that goal is unrealistic,
    both
  • theoretically and methodologically."
  • T. M. Johnson in Spilker 1996, p. 511

8
Criteria
  • functional equivalence
    adequacy of translation
  • scale equivalence
    comparability of response scales
  • operational equivalence
    standardization of psychometric
    testing
  • metric equivalence
    order of scale
    values along criterion
  • Hui Triandis 1985

9
Approaches to cross-cultural instrument
development
  • sequential approach (transfering an existing
    questionnaire to another culture, e.g. SF-36
    Health Survey)
  • parallel approach (assembling an instrument
    based on existing scales from different
    cultures, e.g. EORTC QLQC30)
  • simultaneous approach
    (cooperative cross-cultural development of a
    questionnaire, e.g. WHO-QOL)

10
Steps in instrument development
  • Item development
    (focus groups expert pannel cognitive
    debriefing)...
  • Translation
    (foreward, backward,
    piloting)
  • Psychometric testing
    (reliability, validity, responsiveness)
  • Norming
    (representative population sample, weighing)

11
Focus Groups
  • Can help to identify relevant concepts
  • Involve of potential respondents and/or experts
  • can be active in dimension/facet/item generation

12
Cognitive Debriefing
  • Is used to examine the concepts/dimensions/items
    from the respondent perspective
  • Can be performed individually or in the group
  • Should use standard format of presentation,
    discussion and documentation

13
Question writing
  • Questions should
  • be based as far as possible on evaluation of
    questions already in use in the countries or on
    the suggestions of experts and lay-people
    participating in the focus groups
  • give rise to answers that are enlightening about
    the concepts to be measured
  • reflect the meaning conveyed in the definition of
    the indicator and its domains/facets
  • cover, in combination with other questions for a
    given indicator, the key aspects of that as
    described in the definition

14
Questions should...
  • use simple language, avoiding ambiguity in terms
    of either wording or phraseology
  • be shorter rather than longer
  • avoid double negatives
  • be amenable to a rating scale
  • ask about a single issue/facet
  • be applicable to individuals with a range of
    health status
  • be phrased as questions and not statements
  • reflect the typology of questions adopted for the
    project

15
The Translation Process
Quality backward 2 Raters
Quality foreward 2 Raters
Difficulty 2 Raters
Target
Original
Original
2 Translaters
2 Translaters
Comparison
16
Testing Response Scales
  • Can be used to assess the conceptual equivalence
    of response scales
  • Helps to examine the interval properties of
    response scales within and across cultures
  • can be performed using visual-analogue (e.g.
    none-all of the time) scales as anchors with
    responses to be set between these (e.g.
    sometimes)
  • Ensures cross-cultural comparability of
    instruments

17
Cross- cultural psychometric testing
  • Data sets
  • national, combined national, global
  • Methods
  • classical psychometrics (e.g. Cronbachs Alpha),
  • structural equation modelling (e.g. EQS),
  • modern approaches (e.g. Item Response Theory)
  • Desired Product
  • a cross-culturally usable and interpretable
    measure

18
Internationally active groupsQuality of Life
working groups
  • The Nottingham Health Profile (NHP) Group
  • The European Organization for Research and
    Treatment of Cancer (EORTC) Group
  • The International Quality of Life Assessment
    Project Group (IQOLA SF-36)
  • The Sickness Impact Profile (SIP) Group
  • The World Health Organization Quality of Life
    (WHO-QOL) Group
  • The European Quality of Life Project (EUROQOL)
    Group
  • The Functional Assessment of Cancer Treatment
    (FACT) Group

19
IQOLA Project Phases
  • translation --gt survey form
  • scale construction --gt scoring algorithms
  • validation and norming --gt interpretation
  • publication of results --gt user friendly
    guidelines

20
IQOLA Project
  • Prototype project for sequential approach (SF-36
    Health Survey)
  • Was the first project to develop standards for
    cross-cultural QOL research
  • Translated and tested the SF-36 Health Survey in
    15 (Phase 1) countries
  • Representative (norm) data available in most
    western European countries

21
Results from the IQOLA project
  • The psychometric properties of the questionnaire
    are acceptable in each culture.
  • In norming studies, the scale scores of SF-36
    scores do differ.
  • There is considerable overlap between western
    countries in the dimensional structure of the
    SF-36.

22
WHO QOL Project
  • Prototype project for simultaneous approach
    (WHOQOL)
  • Generated the items within each country (focus
    groups)
  • Reduced items empirically in a field study
  • Tested performance of WHO QOL-100 (-BREF) in
    several studies.

23
Results from the WHOQOL project
  • The items constructed by different cultures are
    comparable.
  • National items do not contribute significantly to
    the instrument's quality.
  • Structural equation modelling does not show
    substantial difference in the relationships of
    dimensions across cultures.

24
Cross-cultural Quality of Life Assessment
  • Conceptual level
  • Representation and operationalisation of the
    concept
  • Methodological level
  • Type and appropriateness of assessment
  • Application level
  • Practical considerations and feasibility in
    cross-cultural settings,
  • Policy level
  • Ethical considerations and interpretability of
    cross-cultural data sets

25
Cross-cultural Quality of Life Assessment
(Examples)
  • Adults
  • IQOLA-Project (SF-36)
  • WHO QoL-Project (WHOQOL)
  • EUROHIS
  • WHOQOL OLD
  • Children
  • DISABKIDS-Project
  • HaemoQol-Project
  • ESCH-QoL-Project
  • KIDSCREEN- Project

26
(No Transcript)
27
WHOQOL-OLD- Cross-cultural structural testing
(pilot)
Country Code nvalid CFI
Scotland 1 116 .967
England 2 145 .970
Germany 3 354 .982
Spain 4 271 .979
Denmark 5 384 .975
Czech R 7 325 ?
Hungary 8 333 .981
Canada 10 178 .967
U.S.A. 12 295 .967
Israel 13 250 .979
Sweden 16 431 .976
Uruquay 20 248 .977
Lithuania 23 342 .977
 
28
EUROHIS-QOL 8 item index for different countries
 
29

.001

.647

.006

.039

.003

.596

6

How satisfied are you with your personal
.010

.072

.003

.335

.003

.048

.0
06

.082

relationships

7

Have you enough money to

.027

.000

.001

.013

.015

.005

.006

.102

meet your needs

8

How satisfied are you with the conditions
.014

.000

.004

.919

.027

.977

.010

.078

of your living place


30
Summary
  • International efforts to assess Quality of Life
    cross-culturally exist.
  • Many instruments need to be reviewed for their
    cross-cultural performance.
  • First results suggest a cross-cultural
    applicability of instruments.
  • Considerations in Qol research in developing
    countries
  • value to all collaborating parties
  • compatibility with ressources/energies
  • compliance with ethical and moral standards of
    collaborators/subjects

31
Ethics in cross-cultural Quality of Life
research
  • transparency of underlying concepts
  • modesty in using specific measurement approaches
  • correctness in applying instruments and analyzing
    data
  • responsibility for the results also after their
    publication

32
Conclusions
  • Quality of life seems to be a universal human
    concept as concerns its relevant dimensions.
  • Different individual behaviors, societal
    conditions and cultural regulations may apply,
    but these concern the means rather than the
    results of pursuing well-being.
  • Although cultures do differ in the basic
    conditions provided to strive at a favorable
    Quality of Life, the person's subjective
    perception is not a linear reflection of these
    conditions.

33
Future
  • Provided that the Quality of Life of citizens is
    a mayor
  • concern in the given country, Quality of Life
    data
  • may give information about the respective status
    of populations,
  • may thus suggest plans to improve the Quality of
    Life status of populations by specific
    interventions,
  • can be used to measure the effects of such
    interventions
  • and can contribute to minimizing the gap between
    the "developed" and the "developing" world.
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