BACKGROUND: The social and medical environments that surround people are each independently associated with their cancer course. The extent to which these characteristics may together mediate patients' cancer care and outcomes is not known. METHODS: Using multilevel methods and data, we studied elderly breast and colorectal cancer patients (level I) within urban social (level II: ZIP code tabulation area) and health care (level III: hospital service area) contexts. We sought to determine (1) which, if any, observable social and medical contextual attributes were associated with patient cancer outcomes after controlling for observable patient attributes, and (2) the magnitude of residual variation in patient cancer outcomes at each level. RESULTS: Numerous patient attributes and social area attributes, including poverty, were associated with unfavorable patient cancer outcomes across the full clinical cancer continuum for both cancers. Health care area attributes were not associated with patient cancer outcomes. After controlling for observable covariates at all 3 levels, there was substantial residual variation in patient cancer outcomes at all levels. CONCLUSIONS: After controlling for patient attributes known to confer risk of poor cancer outcomes, we find that neighborhood socioeconomic disadvantage exerts an independent and deleterious effect on residents' cancer outcomes, but the area supply of the specific types of health care studied do not. Multilevel interventions targeted at cancer patients and their social areas may be useful. We also show substantial residual variation in patient outcomes across social and health care areas, a finding potentially relevant to traditional small area variation research methods.
BACKGROUND: The social and medical environments that surround people are each independently associated with their cancer course. The extent to which these characteristics may together mediate patients' cancer care and outcomes is not known. METHODS: Using multilevel methods and data, we studied elderly breast and colorectal cancerpatients (level I) within urban social (level II: ZIP code tabulation area) and health care (level III: hospital service area) contexts. We sought to determine (1) which, if any, observable social and medical contextual attributes were associated with patientcancer outcomes after controlling for observable patient attributes, and (2) the magnitude of residual variation in patientcancer outcomes at each level. RESULTS: Numerous patient attributes and social area attributes, including poverty, were associated with unfavorable patientcancer outcomes across the full clinical cancer continuum for both cancers. Health care area attributes were not associated with patientcancer outcomes. After controlling for observable covariates at all 3 levels, there was substantial residual variation in patientcancer outcomes at all levels. CONCLUSIONS: After controlling for patient attributes known to confer risk of poor cancer outcomes, we find that neighborhood socioeconomic disadvantage exerts an independent and deleterious effect on residents' cancer outcomes, but the area supply of the specific types of health care studied do not. Multilevel interventions targeted at cancerpatients and their social areas may be useful. We also show substantial residual variation in patient outcomes across social and health care areas, a finding potentially relevant to traditional small area variation research methods.
Authors: Michael Goodman; Lyn Almon; Rana Bayakly; Susan Butler; Carol Crosby; Colleen DiIorio; Donatus Ekwueme; Diane Fletcher; John Fowler; Theresa Gillespie; Karen Glanz; Ingrid Hall; Judith Lee; Jonathan Liff; Joseph Lipscomb; Lori A Pollack; Lisa C Richardson; Phillip Roberts; Kyle Steenland; Kevin Ward Journal: J Community Health Date: 2009-02
Authors: Elizabeth B Lamont; Richard L Schilsky; Yulei He; Hyman Muss; Harvey Jay Cohen; Arti Hurria; Ashley Meilleur; Hedy L Kindler; Alan Venook; Rogerio Lilenbaum; Harvey Niell; Richard M Goldberg; Steven Joffe Journal: J Natl Cancer Inst Date: 2014-11-27 Impact factor: 13.506
Authors: Fiona C Ingleby; Laura M Woods; Iain M Atherton; Matthew Baker; Lucy Elliss-Brookes; Aurélien Belot Journal: BMC Public Health Date: 2022-01-13 Impact factor: 3.295
Authors: Fiona C Ingleby; Aurélien Belot; Iain Atherton; Matthew Baker; Lucy Elliss-Brookes; Laura M Woods Journal: BMJ Open Date: 2020-11-26 Impact factor: 2.692