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Conciliating scientific rigor

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Dr. Amy P. Y. Ho. Mr. Kevin Chan. February 25, 2004 ... Dr. Amy P. Y. Ho. Member. Network for Health ... In J. Daly & I. G. McDonald & E. Willis (Eds. ... – PowerPoint PPT presentation

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Title: Conciliating scientific rigor


1
Conciliating scientific rigor pragmatics in
Outcome Evaluation Research for human service
professionalsTheoretical underpinnings and
implementation techniquesNetwork for Health
Welfare StudiesDr. Charles C. ChanDr. Amy P.
Y. HoMr. Kevin ChanFebruary 25, 2004
2
Dr. Charles C. Chan
  • Convenor
  • Network for Health Welfare Studies
  • Associate Professor
  • Department of Applied Social Sciences

3
Preamble
  • Applied research can be of better service to the
    human service industry, especially in a quality
    conscious era, if it promises to pay balanced
    attention to the dialectical relationship between
    the professional / researcher and the service
    recipient.

4
Quality and Effectiveness
  • Strange bed-fellows or estranged couples?

5
Quality and Effectiveness
  • The overall all goal of placing priority on both
    quality and effectiveness of health programs is
    to document the synergistic contribution of its
    component parts to a holistic improvement in
    health and welfare of the population.
  • WHO-EURO Working Group on Health Promotion
    Evaluation (1998)

6
Quality and Effectiveness
  • The focus should not be on documenting quality or
    evaluating effectiveness of isolated
    interventions as end points, but rather on the
    relationship of a given intervention to the other
    components of the health promotion strategy. Such
    an analysis may indeed provide a fresh approach
    to the very issue of quality.

7
Definition of the Balanced Applied Research
Development Model (BARD)
  • BARD is a tested approach in applied research to
    address the demands of scholarship of application
    and community benefits
  • It recognizes problems central to applied
    research
  • It contributes by directing decision making in
    the research process

8
Main features of BARD
  • Placing value on a balanced approach to the
    scientific requirements and the pragmatics of
    outcome evaluation in human services

9
Main features of BARD
  • Emphasizing integrating research into practice by
    transferring skills in data capturing to
    professionals or lay persons in service delivery

10
Main features of BARD
  • Analyzing as much as possible, the triadic
    relationship between the professional, lay
    person, and service recipient and sustaining
    intervention effects through supportive
    supervision

11
Efficacy Vs Effectiveness
  • Efficacy Intervention does more good than harm
    under optimum conditions
  • Effectiveness - Intervention does more good than
    harm under real-world conditions
  • (Flay, 1986)

12
The RE-AIM framework (Glasgow, 1999)
  • Reach
  • Efficacy or Effectiveness
  • Adoption
  • Implementation
  • Maintenance and cost

13
The RE-AIM framework (Glasgow, 1999) - Contd
14
Outcome Evaluation Research in Hong Kong
Financial Landscape
  • Health Services Research Fund (1995 - 2003)
  • Health and Health Services Research Fund (2003 -
    present)
  • Research Fund on Control for Infectious Diseases
    (2003 present)
  • Community Investment Inclusion Fund (2003 -
    present)

15
Health and Services Research Fund (1995-2003)
  • Capital amount of 55M
  • Total number of submission 1096
  • Total number of approved HSRC projects224

16
Health and Health Services Research Fund (2003 -
present )
  • Capital amount of 10M
  • Total number of submission 187
  • Total number of approved projects4 (ESGAA
    meeting in July 2003)

17
Research Fund on Control for Infectious Diseases
(2003 present)
  • Capital amount of 500M (50M given to PRCs
    Ministry of Health for SARS research)
  • Open call and commissioned research activities
    tentative 30M to HKU in basic and epidemiological
    modeling research 25 M to CUHK on public health
    and emerging infectious diseases drug and
    treatment development research
  • Leaving sums for the establishment of the Centre
    for Health Protection

18
Community Investment Inclusion Fund - Funding
information
19
Community Investment Inclusion Fund - Funding
information -Contd
20
Dr. Amy P. Y. Ho
  • Member
  • Network for Health Welfare Studies
  • Senior Lecturer
  • Department of Applied Social Sciences

21
OER in human service setting An example
  • Promoting health and well-being of elderly
    patients with chronic illness A coordinated
    medical and social service program
  • Funded by the Health Care Promotion Fund

22
Intervention flowchart
23
Intervention components
24
Issues in unblinded study
  • Feasibility of blinding in human service research
  • Artifacts introduced by confounders in unblinded
    study

25
Standardization of intervention
  • Contrasting the notion of experimental group in
    the context of medical research and human
    services research
  • Black Box phenomenon in health promotion
    research (Moore, 2003)

26
Control on extraneous variables
  • Between-group imbalance in the control of
    extraneous variables
  • Incorporating extraneous variables in the analysis

27
Data quality and reliability
  • Staff turnover
  • Artifact due to unblinded group assignment
  • Reliability of self-reported outcomes

28
Issues in data analysis
  • Loss to follow-up
  • Causes of participants attrition in human
    services OER
  • Effect of attrition on data analysis

29
Mr. Kevin Chan
  • Research Associate
  • Network for Health Welfare Studies
  • Department of Applied Social Sciences
  • Honorary Scientific Officer
  • The Hong Kong Childhood Injury Prevention
    Research Association

30
Presumption of the experimentalist ideal (Smith,
1985)
  • OER in human services are more than often
    violating the assumptions required in traditional
    RCT convention
  • Such difference should not be viewed as a
    deviation from the conventional approach, but
    rather a calling for applied research with
    stronger ecological validity

31
In fulfilling requirements set for RCT, we often
undermine the following (Rolls, 1999)
  • The difficulties associated with the random
    assignment
  • The ethical and administrative objections to
    randomization (de_Raeve, 1994)
  • That inputs are rarely stable
  • That awareness of difference introduces bias
  • That it is almost impossible to exclude
    extraneous variables
  • The research is unable to say why changes
    detected have occurred (Newell, 1992)

32
Troubleshooting to barriers OER in human
service setting
  • Dealing with less-than-perfect random assignment
  • Adjusting for unstable input in human services
    OER
  • Statistical control for unblinded studies
  • The inclusion of extraneous variables as
    covariates
  • Narrowing down to a closer approximation of
    causal relationship

33
Troubleshooting to barriers Group assignment in
OER for human service setting
  • Balancing incentives for follow-up of control
    group
  • Intention-to-treat analysis
  • As-treated analysis
  • Complier-Average Causal Effect (CACE) analysis

34
Troubleshooting to barriers Group assignment in
OER for human service setting Contd
  • Balancing incentives for follow-up of control
    group
  • Despite the lack of intervention, control group
    participants could be prescribed with
    non-specific intervention or substantial
    support to maintain their interests to comply
    with the data collection process

35
Troubleshooting to barriers Group assignment in
OER for human service setting Contd
  • Balancing incentives for follow-up of control
    group
  • Non-specific intervention
  • -E.g. Delivery of printed health promotion
    materials
  • Substantial support
  • -E.g. Safety device, health supplements

36
Troubleshooting to barriers Group assignment in
OER for human service setting Contd
37
Troubleshooting to barriers Group assignment in
OER for human service setting Contd
  • Complier-Average Causal Effect (CACE) analysis
  • (Angrist, 1996 Little, 1998)
  • Expanding the conventional regression equation
    with a new term compliance with intervention

38
Troubleshooting to barriers Group assignment in
OER for human service setting Contd
  • Complier-Average Causal Effect (CACE) analysis
  • (Angrist, 1996 Little, 1998)
  • Difference of evaluation outcome (e.g. score on
    SF-36, probability of sustaining home injury)
    between compliers and non-compliers, with other
    missing information (e.g. covariate variables
    such as age, gender, health status, attitude
    toward the research question) adjusted and
    stratified by compliance category.

39
Troubleshooting to barriers Group assignment in
OER for human service setting Contd
  • Complier-Average Causal Effect (CACE) analysis
  • (Angrist, 1996 Little, 1998)
  • CACE accounts for potential interaction between
    randomized group assignment compliance and
    allows more accurate estimate of program
    effectiveness by
  • Increasing number of usable cases
  • Subtract the artifact of compliance that
    moderates the outcome variable

40
Troubleshooting to barriers Adjusting for
unstable input in human services OER
  • Explicit definition of intervention protocol
  • Behavioral intervention
  • Substantial input
  • Personnel input
  • Temporal data (Date, time, duration, frequency)
  • Define boundary of intervention

41
Troubleshooting to barriers Adjusting for
unstable input in human services OER
42
Troubleshooting to barriers Adjusting for
unstable input in human services OER
43
Troubleshooting to barriers Adjusting for
unstable input in human services OER
44
Troubleshooting to barriers Adjusting for
unstable input in human services OER
45
Troubleshooting to barriers Adjusting for
unstable input in human services OER Contd
  • Process analysis
  • Process evaluation fills up the Black Box
    (Moore, 2003) left void in health promotion
    research and strength internal validity of the
    intervention under investigation.

46
Troubleshooting to barriers Adjusting for
unstable input in human services OER Contd
  • Process analysis
  • Process analysis identifies variance in protocol
    implementation participants receptiveness to
    the prescribed intervention. A process analysis
    covers
  • Count of activities attended
  • Perceived effectiveness of the intervention
  • Compliance to intervention protocol
  • Met and unmet needs related to the intervention

47
Troubleshooting to barriers Adjusting for
unstable input in human services OER Contd
  • Process analysis (Contd)
  • The information gathered from the process
    research should be integrated into the outcome
    research, rather than setting aside as auxiliary
    document in the discussion of study results

48
Troubleshooting to barriers Quality Assurance
in OER for human service setting
  • Quality assurance exercise
  • Organizational requirement
  • Staff involvement

49
Maintenance and cost in OER
  • Unanticipated effect of health promotion on
    social capital and cohesion (Raphael, 2000)
  • Economic analysis (including Cost-effectiveness
    Analysis or Cost Benefit Analysis)

50
Conclusion
51
Decision questions generated from the BARD Model
  • Q1. How can the range of problems be considered
    as part of public service (health, welfare, and
    education) priority?

52
Decision questions generated from the BARD Model
  • Q2. What is the status of the efficacy studies on
    similar intervention programs in the
    international literature?

53
Decision questions generated from the BARD Model
  • Q3. Who should do what and how much for whom
    before one can consider the intervention
    effective?

54
Decision questions generated from the BARD Model
  • Q4. Should we vary the intensity of intervention
    (e.g. tiered multi-level program) to suit
    targeted service recipients?

55
Decision questions generated from the BARD Model
  • Q5. How can staff training and documentation of
    quality manual help differentiate role and skills
    for professional and lay participation to ensure
    intervention integrity?

56
Decision questions generated from the BARD Model
  • Q6. Is the technology transferred in the process
    of conducting OER sufficient to ensure human and
    financial sustainability?

57
Some final words for the Policy-makers
  • WHO-EURO Working Group on Health Promotion
    Evaluation (1998) pointed out this
  • Evaluation help them find out what works and how
    make decisions about future health promotion
    policy strategies and programs,.modify and
    improve current programs justify policy choices
    and increase impact and effectiveness (including
    cost-effectiveness) of health promotion
    initiatives.

58
Major NHWS OER publications
  • Chan, C. C. (2000). Workbook on measurement
    use of outcomes in social services. Hong Kong
    Hong Kong Polytechnic University.
  • Chan, C. C., Chow, C. B., Chan, K. (2003).
    SARS and social cohesion in Hong Kong A research
    agenda. Asian Pacific Journal of Social Work,
    manuscript in review.
  • Chan, C. C., Lui, W. S., Wan, D., Yau, S.
    (2002). Evaluating Service Recipient Outcomes in
    Psychiatric Residential Services in Hong Kong.
    Research on Social Work Practice, 12(4), 570-581.
  • Chan, C. C., Lui, W. S., Wan, D., Yau, S.
    (2002). A multilevel approach to supported
    employment outcomes in Schizophrenia. American
    Journal of Orthopsychiatry, manuscript submitted
    for publication.

59
Major NHWS OER publications
  • Chan, C. C., Luis, B. P., Chow, C., Cheng, J.
    C. Y., Wong, T. W., Chan, K., Tsui, S. (2001).
    Validating narrative data on residential child
    injury. Journal of Safety Research, 37(4),
    377-389.
  • Chan, C. C., Luis, B. P., Chow, C. B., Cheng,
    J. C. Y., Wong, T. W., Chan, K. (2003).
    Unintentional residential child injury
    surveillance in Hong Kong. Journal of Paediatrics
    and Child Health, 39(6), 420-426.
  • Chan, C. C., Tsui, M. S., Chan, M. Y. C.,
    Hong, J. H. (2002). Applying the Structure of the
    Observed Learning Outcomes (SOLO) Taxonomy on
    Student's Learning Outcomes An empirical study.
    Assessment Evaluation in Higher Education,
    27(6), 511-528.

60
Major NHWS OER publications
  • Chan, C. C., Wan, D., Lui, W. S. (2002).
    Determining performance standards for supported
    employment service in Hong Kong. Hong Kong
    Journal of Social Work, 36(1 2), 95-111.
  • Cheung, F., Yau, A., Wong, K. (2001, February
    22, 2001). The Costs of Cost-Effectiveness An
    initial review of the competitive bidding
    experience in contracting out home care service.
    Paper presented at the Seminar on Efficiency
    Effectiveness of Social Care, Part III, The Hong
    Kong Polytechnic University, Hong Kong.
  • Chow, C. B., Cheung, W. L., Chan, C. C.
    (2002, April 28-30, 2002). Transforming AEIS data
    for the prevention of unintentional childhood
    injuries in Hong Kong. Paper presented at the
    Hospital Authority Convention 2002, Hong Kong.

61
Major NHWS OER publications
  • Ho, A. P. Y. (2001, May 19, 2001). Creating a
    supportive environment for elderly with chronic
    illness. Paper presented at the Healthy Ageing
    Convention, Hong Kong, Hong Kong Convention and
    Exhibition Centre.
  • Chan, C. C., Chan, K. (2003).
    Competence-based evaluation of volunteer
    progress. Evaluation and Program Planning,
    manuscript in review.
  • Network for Health Welfare Studies, the Hong
    Kong Childhood Injury Prevention Research
    Association. (2003). The Volunteer Home
    Visitation Programme Training Manual
  • Network for Health Welfare Studies, the Hong
    Kong Childhood Injury Prevention Research
    Association. (2003). The Volunteer Home
    Visitation Programme Quality Assurance Manual

62
Key References
  • Angrist, J. D., Imbens, G. W., Rubin, D. B.
    (1996). Identification of Causal Effects Using
    Instrumental Variables. Journal of the American
    Statistical Association, 91(434), 444-455.
  • Flay, B. R. (1986). Efficacy and effectiveness
    trials (and other phases of research) in the
    development of health promotion programs.
    Preventive Medicine, 15(5), 451-474.
  • Glasgow, R. E., Lichtenstein, E., Marcus, A.
    C. (2003). Why Don't We See More Translation of
    Health Promotion Research to Practice? Rethinking
    the Efficacy-to-Effectiveness Transition.
    American Journal of Public Health, 93(8),
    1261-1267.
  • Little, R. J., Yau, L. H. Y. (1998).
    Statistical techniques for analyzing data from
    prevention trials Treatment of no-shows using
    Rubin's causal model. Psychological Methods,
    3(2), 147-159.
  • McPherson, K., Britton, A. (2001).
    Preferences and understanding their effects on
    health. Quality Safety in Health Care,
    10(Supplement 1), 61i-66.
  • Moore, L., Graham, A., Diamond, I. (2003). On
    the feasibility of conducting randomised trials
    in education case study of a sex education
    intervention. British Educational Research
    Journal, 29(5), 673-689.

63
Key References
  • Newell, D. J. (1992). Randomised controlled
    trials in health care research. In J. Daly I.
    G. McDonald E. Willis (Eds.), Researching
    health care designs, dilemmas, disciplines (pp.
    47-61). New York Routledge.
  • Raphael, D. (2000). The question of evidence in
    health promotion. Health Promotion International,
    15(4), 355-367.
  • Rolls, L. (1999). The Challenge of
    Evidence-based Practice. In E. R. Perkins I.
    Simnett L. Wright (Eds.), Evidence-based health
    promotion (pp. 47-50). Chichester, New York John
    Wiley.
  • Smith, G. (1985). Assessing health care a
    study in organisational evaluation / Gilbert
    Smith and Caroline Cantley. Milton Keynes Open
    University Press.
  • Thompson, B., Coronado, G., Snipes, S. A.,
    Puschel, K. (2003). Methodologic advances and
    ongoing challenges in designing community-based
    health promotion programs. Annual Review of
    Public Health, 24(1), 315-340.

64
The End! Thank you for coming. For further
information Visit us at http//www.acad.polyu.edu
.hk/ssnhws/en/index.html
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