Exploring resource allocation and alternate clinic accessibility landscapes for improved blood donor turnout

Applied Geography

Volumn 45, Issue , 2013, Pages 89-97

  Páez, Antonio ^a   Esita, Jarin ^a   Newbold, K Bruce ^a   Heddle, Nancy M ^a,b   Blake, John T ^c  

^a MCMASTER UNIVERSITY   (Canada)

^b CANADIAN BLOOD SERVICES   (Canada)

^c DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Accessibility; Blood donation; Clinic resources; Donor turnout; Genetic algorithms

Indexed keywords

ACCESSIBILITY; BLOOD; GENETIC ALGORITHM; LANDSCAPE; MULTIVARIATE ANALYSIS;

CANADA; ONTARIO [CANADA]; TORONTO;

EID: 84884263157     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2013.08.008     Document Type: Article

References (56)

1. Anselin L. Spatial econometrics: Methods and models 1988, Kluwer, Dordrecht.
2. Anselin L., Griffith D.A. Do spatial effects really matter in regression-analysis. Papers of the Regional Science Association 1988, 65:11-34.
3. Bell S., Wilson K., Bissonnette L., Shah T. Access to primary health care: does neighborhood of residence matter?. Annals of the Association of American Geographers 2013, 103(1):85-105.
4. Boulware L.E., Ratner L.E., Ness P.M., Cooper L.A., Campbell-Lee S., LaVeist T.A., et al. The contribution of sociodemographic, medical, and attitudinal factors to blood donation among the general public. Transfusion 2002, 42(6):669-678.
5. Cimaroli K., Paez A., Newbold K.B., Heddle N.M. Individual and contextual determinants of blood donation frequency with a focus on clinic accessibility: a case study of Toronto, Canada. Health & Place 2012, 18(2):424-433.
6. Cinnamon J., Schuurman N., Crooks V.A. Amethod to determine spatial access to specialized palliative care services using GIS. BMC Health Services Research 2008, 8:140.
7. Cliff A.D., Ord J.K. Spatial autocorrelation 1973, Pion, London.
8. Cliff A.D., Ord J.K. Spatial processes: Models and applications 1981, Pion, London.
9. Coffee N., Turner D., Clark R.A., Eckert K., Coombe D., Hugo G., et al. Measuring national accessibility to cardiac services using geographic information systems. Applied Geography 2012, 34:445-455.
10. Drackley A., Newbold K.B., Páez A., Heddle N. Forecasting Ontario's blood supply and demand. Transfusion 2012, 52(2):366-374.
11. Field K.S., Briggs D.J. Socio-economic and locational determinants of accessibility and utilization of primary health-care. Health & Social Care in the Community 2001, 9(5):294-308.
12. Fogel D.B. An introduction to simulated evolutionary optimization. IEEE Transactions on Neural Networks 1994, 5(1):3-14.
13. Getis A., Griffith D.A. Comparative spatial filtering in regression analysis. Geographical Analysis 2002, 34(2):130-140.
14. Gillespie T.W., Hillyer C.D. Blood donors and factors impacting the blood donation decision. Transfusion Medicine Reviews 2002, 16(2):115-130.
15. Greinacher A., Fendrich K., Alpen U., Hoffmann W. Impact of demographic changes on the blood supply: Mecklenburg-West Pomerania as a model region for Europe. Transfusion 2007, 47(3):395-401.
16. Greinacher A., Konerding U., Fendrich K., Alpen U., Hoffmann W. The impact of demographic changes on transfusion demand and blood supply: need for systematic blood donor research. Progress and challenges in transfusion medicine, hemostasis and hemotherapy: State of the art 2008 2008, 394-402.
17. Griffith D.A. Advanced spatial statistics: Special topics in the exploration of quantitative spatial data series 1988, Kluwer, Dordrecht.
18. Griffith D.A. Spatial autocorrelation and spatial filtering: Gaining understanding through theory and scientific visualization 2003, Springer-Verlag, Berlin.
19. Griffith D.A. Aspatial filtering specification for the autologistic model. Environment and Planning A 2004, 36(10):1791-1811.
20. Guagliardo M.F. Spatial accessibility of primary care: concepts, methods and challenges. International Journal of Health Geographics 2004, 3(3):1-13.
21. Gu W., Wang X., McGregor S.E. Optimization of preventive health care facility locations. International Journal of Health Geographics 2010, 9(17):1-16.
22. Haining R. Spatial data analysis in the social and environmental sciences 1990, Cambridge University Press, Cambridge.
23. Handy S., Niemeier D. Measuring accessibility: an exploration of issues and alternatives. Environment and Planning A 1997, 29(7):1175-1194.
24. Haynes R., Lovett A., Sunnenberg G. Potential accessibility, travel time, and consumer choice: geographical variations in general medical practice registrations in Eastern England. Environment and Planning A 2003, 35(10):1733-1750.
25. Hollingsworth B., Wildman J. What population factors influence the decision to donate blood?. Transfusion Medicine 2004, 14(1):9-12.
26. Horner M.W. 'Optimal' accessibility landscapes? Development of a new methodology for simulating and assessing jobs-housing relationships in urban regions. Urban Studies 2008, 45(8):1583-1602.
27. Horner M.W., Mascarenhas A.K. Analyzing location-based accessibility to dental services: an Ohio case study. Journal of Public Health Dentistry 2007, 67(2):113-118.
28. Hupfer M.F., Taylor D.W., Letwin J.A. Understanding Canadian student motivations and beliefs about giving blood. Transfusion 2005, 45:149-161.
29. Joseph A.E., Phillips D.R. Accessibility and utilization: Geographical perspectives on health care delivery 1984, Harper & Row Publishers, New York.
30. Khan A.A., Bhardwaj S.M. Access to health-care - a conceptual-framework and its relevance to health-care planning. Evaluation & the Health Professions 1994, 17(1):60-76.
31. Kwan M.P. Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework. Geographical Analysis 1998, 30(3):191-216.
32. Lovett A., Haynes R., Sunnenberg G., Gale S. Car travel time and accessibility by bus to general practitioner services: a study using patient registers and GIS. Social Science & Medicine 2002, 55(1):97-111.
33. Luo W., Wang F.H. Measures of spatial accessibility to health care in a GIS environment: synthesis and a case study in the Chicago region. Environment and Planning B-Planning & Design 2003, 30(6):865-884.
34. Lysdahl K.B., Borretzen I. Geographical variation in radiological services: a nationwide survey. BMC Health Services Research 2007, 7.
35. McGrail M.R. Spatial accessibility of primary health care utilising the two step floating catchment area method: an assessment of recent improvements. International Journal of Health Geographics 2012, 11:12.
36. McGrail M.R., Humphreys J.S. Measuring spatial accessibility to primary care in rural areas: Improving the effectiveness of the two-step floating catchment area method. Applied Geography 2009, 29(4):533-541.
37. Moniruzzaman M., Paez A. Accessibility to transit, by transit, and mode share: application of a logistic model with spatial filters. Journal of Transport Geography 2012, 24:198-205.
38. Nattinger A.B., Kneusel R.T., Hoffmann R.G., Gilligan M.A. Relationship of distance from a radiotherapy facility and initial breast cancer treatment. Journal of the National Cancer Institute 2001, 93(17):1344-1346.
39. Ngui A.N., Apparicio P. Potential accessibility to mental health services in Montreal: a geographical information system approach. Revue D Epidemiologie Et De Sante Publique 2011, 59(6):369-378.
40. Ownby H.E., Kong F., Watanabe K., Tu Y., Nass C.C. Analysis of donor return behavior. Transfusion 1999, 39(10):1128-1135.
41. Páez A., Mercado R., Farber S., Morency C., Roorda M. Accessibility to health care facilities in Montreal Island: an application of relative accessibility indicators from the perspective of senior and non-senior residents. International Journal of Health Geographics 2010, 9(52):1-9.
42. Paez A., Scott D.M., Morency C. Measuring accessibility: positive and normative implementations of various accessibility indicators. Journal of Transport Geography 2012, 25:141-153.
43. Paez A., Scott D.M., Volz E. Weight matrices for social influence analysis: an investigation of measurement errors and their effect on model identification and estimation quality. Social Networks 2008, 30(4):309-317.
44. Radke J., Mu L. Spatial decomposition, modeling and mapping service regions to predict access to social programs. Geographic Information Sciences 2000, 6(2):105-112.
45. Saberton P.J., Paez A., Newbold K.B., Heddle N.M. Geographical variations in the correlates of blood donor turnout rates: an investigation of Canadian metropolitan areas. International Journal of Health Geographics 2009, 8.
46. Schlumpf K.S., Glynn S.A., Schreiber G.B., Wright D.J., Steele W.R., Tu Y., et al. Factors influencing donor return. Transfusion 2008, 48(2):264-272.
47. Schreiber G.B., Schlumpf K.S., Glynn S.A., Wright D.J., Tu Y.L., King M.R., et al. Convenience, the bane of our existence, and other barriers to donating. Transfusion 2006, 46(4):545-553.
48. Stinnett A.A., Paltiel A.D. Mathematical programming for the efficient allocation of health care resources. Journal of Health Economics 1996, 15(5):641-653.
49. Tanimura S., Shima M. Quantitative measurements of inequality in geographic accessibility to pediatric care in Oita prefecture, Japan: standardization with complete spatial randomness. BMC Health Services Research 2011, 11.
50. Tsai Y.S., Ko P.C.I., Huang C.Y., Wen T.H. Optimizing locations for the installation of automated external defibrillators (AEDs) in urban public streets through the use of spatial and temporal weighting schemes. Applied Geography 2012, 35(1-2):394-404.
51. Veldhuizen I.J.T., Doggen C.J.M., Atsma F., De Kort W. Donor profiles: demographic factors and their influence on the donor career. Vox Sanguinis 2009, 97(2):129-138.
52. Wang F.H., McLafferty S., Escamilla V., Luo L. Late-stage breast cancer diagnosis and health care access in illinois. Professional Geographer 2008, 60(1):54-69.
53. Wan N., Zhan F.B., Zou B., Chow E. Arelative spatial access assessment approach for analyzing potential spatial access to colorectal cancer services in Texas. Applied Geography 2012, 32(2):291-299.
54. Weidmann C., Schneider S., Litaker D., Weck E., Kluter H. Aspatial regression analysis of German community characteristics associated with voluntary non-remunerated blood donor rates. Vox Sanguinis 2012, 102(1):47-54.
55. Williamson L.M., Devine D.V. Challenges in the management of the blood supply. Lancet 2013, 381(9880):1866-1875.
56. Yao J., Murray A.T., Agadjanian V., Hayford S.R. Geographic influences on sexual and reproductive health service utilization in rural Mozambique. Applied Geography 2012, 32(2):601-607.