access to health services and locating health services march 12, 2013

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Access to Health Services and Locating Health Services March 12, 2013

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Page 1: Access to Health Services and Locating Health Services March 12, 2013

Access to Health Services and Locating Health

ServicesMarch 12, 2013

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Haynes RM et al. 1999. Effects of distances to hospital and GP surgery on hospital inpatient episodes, controlling for needs and provision. Social Science and Medicine 49(3): 425-433.

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from Athas WF et al. 2000. Travel Distance to Radiation Therapy and Receipt of Radiotherapy Following Breast-Conserving Surgery. Journal of the National Cancer Institute 92(3): 269-271.

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Distance Decay function example

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Firla 2007

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Fulcher C, Kaukinen C. 2005. Mapping and visualizing the location HIV service providers: an exploratory spatial analysis of Toronto neighborhoods. AIDS Care 17(3): 386-396.

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Firla 2007

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Finding the shortest path

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http://www.mysociety.org/2006/travel-time-maps/

London Travel-Time Map

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A. Walking only

B. Car + walking

C. Bus + walking

D. Bicycle + walking

Health care accessibility in southern Malawi

Ray and Ebener, Int J Health Geographics 2008; 7: 63.

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Klein et al., JAMA 2009; 302: 1774-1781.

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Klein et al., JAMA 2009; 302: 1774-1781.

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Klein et al., JAMA 2009; 302: 1774-1781.

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Dykstra’s shortest-path algorithm

1. Assign to every node a distance value: set it to zero for our initial node and to infinity for all other nodes.

2. Mark all nodes as unvisited. Set initial node as current. 3. For current node, consider all its unvisited neighbors and

calculate their tentative distance. For example, if current node (A) has distance of 6, and an edge connecting it with another node (B) is 2, the distance to B through A will be 6+2=8. If this distance is less than the previously recorded distance, overwrite the distance.

4. When we are done considering all neighbors of the current node, mark it as visited. A visited node will not be checked ever again; its distance recorded now is final and minimal.

5. If all nodes have been visited, finish. Otherwise, set the unvisited node with the smallest distance (from the initial node, considering all nodes in graph) as the next "current node" and continue from step 3.

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Shortest path example

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Boscoe, Henry, Zdeb 2012

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Boscoe, Henry, Zdeb 2012

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Mike Zdeb - Driving Distances and Drive Times using SAS and Google Maps:

http://www.sascommunity.org/wiki/Driving_Distances_and_Drive_Times_using_SAS_and_Google_Maps

Also:

Boscoe FP, Henry KA and Zdeb MS. A Nationwide Comparison of Driving Distance Versus Straight Line Distance to Hospitals. Professional Geographer 2012; 64(2): 188-196.

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Fu LY et al. 2009. Spatial accessibility to providers and vaccination compliance among children with Medicaid. Pediatrics 124: 1579-1586.

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Fu LY et al. 2009. Spatial accessibility to providers and vaccination compliance among children with Medicaid. Pediatrics 124: 1579-1586.

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Spatial accessibility = ratio of pediatric providers to pediatric population

Provider density: Number of providers, weighted by specialty, smoothed with a Gaussian kernel density function of 3 miles

Population density: Number of children under 18, using 2000 census block group data, smoothed over a 1 mile radius

Results: Areas with the highest spatial accessibility had 36% more vaccination compliance than areas with the lowest spatial accessibility

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0123456789

101112131415

Total population to be served = 10,000

Mean location = 6

Median location = 5

Modal location = 2

Range midpoint = 8

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• Allocation model – given a fixed set of facilities, figure

out how to assign resources optimally • Location model – identifies the best NEW location for a

facility

Location-allocation models do both of these things.

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Smallman-Raynor MR, Muir KR, Smith SJ. 1998. The geographical assignment of cancer units: patient accessibility as an optimal allocation problem. Public Health 112: 379-383.

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Predictions of NO and NO2 concentrations. A location-allocation model was used to site the 102 air monitors. Criteria were (1) monitors should be in areas where pollution exhibits high variability (2) where population density is high

Su et al. Environmental Research 2009; 109: 657-670.

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Bell 2013