methods to evaluate the effectiveness of a community-based selection of indigents
DESCRIPTION
CRCHUM, Health Research Axis Ecohealth 2014, August, 12th 2014 N Atchessi, V Ridde, E Bonnet, K Kadio, M-V ZunzunéguiTRANSCRIPT
Methods to evaluate the effectiveness of a community-based selection of indigents
N Atchessi, V Ridde, E Bonnet, K Kadio, M-V Zunzunégui
CRCHUM, Health Research AxisEcohealth 2014, August, 12th 2014
Session: Nuts & bolts of EcoHealth research: sharing data integration strategies for Ecohealth studies
Introduction• Burkina Faso, West Africa• Community-based selection of
indigents in 2010• Step 1: CSV selection• Step 2: CoGes Selection• Indigents retained are those
selected by CoGes.• Is this an effective selection
method?• Objective: describe two
methods used to evaluate the effectiveness of a community-based selection of indigents
Session: Nuts & bolts of EcoHealth research: sharing data integration strategies for Ecohealth studies
Method• Method 1: Spatial analysis
• Hypothesis 1: The entities representing the communities (CSV and CoGes) tended to select indigents who were physically nearer to them.
• Method 2: Analysis of characteristics • Hypothesis 2: Indigents selected by CoGes
are the more socially and economically vulnerable
• Strategy: Compare two groups of indigents selected by 2 types of community organization
According to your context
Session: Nuts & bolts of EcoHealth research: sharing data integration strategies for Ecohealth studies
Method
Why these methods?• Both methods use objective criteria to measure a
selection method based on the judgment and will of selection committee members
• Determinants of health care access are used to assess the effectiveness of the indigent selection
According to your context
Session: Nuts & bolts of EcoHealth research: sharing data integration strategies for Ecohealth studies
Method• Spatial analysis
Socially and spatially representative sample of indigents in the two groups
Variables: village location, indigents location (GPS), road, trails network, hydrographic network, administrative boundaries
Analysis: geographic distribution of indigents
• Analysis of characteristics Variables: (Andersen and Newman model)
predisposing factors; facilitating factors; needs.
Logistic regression: Factors associated with possession of indigent card
According to your context
Session: Nuts & bolts of EcoHealth research: sharing data integration strategies for Ecohealth studies
Method
Challenges and limitations• Spatial analysis
Not enough to assess effectiveness of selection when used alone
Scarcity of geographic data
• Analysis of characteristics Age over/under-estimated Self-reported variables
Strengths and opportunities• Spatial analysis
Assessment of effectiveness of selection with geographic determinants of health
Indicators based on distance
• Analysis of characteristics Cross-sectional design Multivariate analysis Andersen and Newman model:
a comprehensive model
Session: Nuts & bolts of EcoHealth research: sharing data integration strategies for Ecohealth studies
Results
Analysis of characteristics
Including an example
Session: Nuts & bolts of EcoHealth research: sharing data integration strategies for Ecohealth studies
Spatial analysis: CSV had no particular pattern of
selection CoGes tended to select Indigents
who were geographically nearest to health centers
Variables OR CI 95%
Predisposin
g factors
Sex ns
Age ns
Widowedvs. not widowed
1.40*
[1.10-1.78]
Facilitating
factors
Instrumental assistance ns
Lack of financial assistancevs. financial assistance
1.58*
[1.26-1.97]
Living aloneLiving with spousevs. Living with children
1.28*2.00*
[1.01-1.63]
[1.35-2.96]
Needs
Chronic illness ns
Vision impairmentvs. no vision impairment
1.45*
[1.14-1.84]
Good mobility/poor strengthvs. Good mobility/good strength
1.73*
[1.28-2.33]
References
Thank you!
1-Andersen R, Newman JF: Societal and individual determinants of medical care utilization in the United States. Milbank Memorial Fund Quarterly. Health and Society 1973. 51(1): 95-124. 3-Nagi SZ: An epidemiology of disability among adults in the United States. Milbank Memorial Fund Quarterly. Health and Society 1976. 54(4): 439-467. 4-Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, Blazer DG, Scherr PA, Wallace RB: A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. Journal of Gerontology 1994. 49(2): M85-94. 5-Arnaud M., Emery X. (2000), Estimation et interpolation spatiale, Paris, Hermes Science Publications.6-Banos A., Huguenin-Richard F. (2000), « Spatial distribution of road accidents in the vicinity of point sources : application to child pedestrian accidents », in Flahault A., Toubiana L. (eds), Geography and Medicine, Elsevier, pp. 54-64.
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Session: Nuts & bolts of EcoHealth research: sharing data integration strategies for Ecohealth studies