NAU publications by CHER
Faculty & staff publications
NAU faculty and staff have the opportunity to publish their findings and knowledge as authors. CHER has many researchers that have been cited multiple times in major publications for their great work. The Center for Health Equity Research has accumulated all faculty publications into one, easy to navigate database.
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King, Caroline; Atwood, Sidney; Lozada, Mia; Nelson, Adrianne Katrina; Brown, Chris; Sabo, Samantha; Curley, Cameron; Muskett, Olivia; Orav, Endel John; Shin, Sonya PLoS ONE, 13 (8), 2018. @article{King2018b, title = {Identifying risk factors for 30-day readmission events among American Indian patients with diabetes in the Four Corners region of the southwest from 2009 to 2016.}, author = {Caroline King and Sidney Atwood and Mia Lozada and Adrianne Katrina Nelson and Chris Brown and Samantha Sabo and Cameron Curley and Olivia Muskett and Endel John Orav and Sonya Shin}, editor = {Prabath W. B. Nanayakkara}, url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0195476}, doi = {10.1371/journal.pone.0195476}, year = {2018}, date = {2018-08-02}, journal = {PLoS ONE}, volume = {13}, number = {8}, abstract = {OBJECTIVE: The objective of this study was to identify risk factors for 30-day readmission events for American Indian patients with diabetes in the southwest. RESEARCH DESIGN AND METHODS: Data from patients with diabetes admitted to Gallup Indian Medical Center between 2009 and 2016 were analyzed using logistic regression analyses. RESULTS: Of 2,660 patients, 394 (14.8%) patients had at least one readmission within 30 days of discharge. Older age (OR (95% CI) = 1.26, (1.17, 1.36)), longer length of stay (OR (95% CI) = 1.01, (1.0001, 1.0342)), and a history of substance use disorder (OR (95% CI) = 1.80, (1.25, 2.60)) were risk factors for 30-day readmission. An American Indian language preference was protective against readmission. CONCLUSIONS: Readmission events are complex and may reflect broad and interwoven disparities in community systems. Future research should work to support community-defined interventions to address both in hospital and external factors that impact risk factors for readmission.}, keywords = {}, pubstate = {published}, tppubtype = {article} } OBJECTIVE: The objective of this study was to identify risk factors for 30-day readmission events for American Indian patients with diabetes in the southwest. RESEARCH DESIGN AND METHODS: Data from patients with diabetes admitted to Gallup Indian Medical Center between 2009 and 2016 were analyzed using logistic regression analyses. RESULTS: Of 2,660 patients, 394 (14.8%) patients had at least one readmission within 30 days of discharge. Older age (OR (95% CI) = 1.26, (1.17, 1.36)), longer length of stay (OR (95% CI) = 1.01, (1.0001, 1.0342)), and a history of substance use disorder (OR (95% CI) = 1.80, (1.25, 2.60)) were risk factors for 30-day readmission. An American Indian language preference was protective against readmission. CONCLUSIONS: Readmission events are complex and may reflect broad and interwoven disparities in community systems. Future research should work to support community-defined interventions to address both in hospital and external factors that impact risk factors for readmission. |
2018 |
King, Caroline; Atwood, Sidney; Lozada, Mia; Nelson, Adrianne Katrina; Brown, Chris; Sabo, Samantha; Curley, Cameron; Muskett, Olivia; Orav, Endel John; Shin, Sonya PLoS ONE, 13 (8), 2018. @article{King2018b, title = {Identifying risk factors for 30-day readmission events among American Indian patients with diabetes in the Four Corners region of the southwest from 2009 to 2016.}, author = {Caroline King and Sidney Atwood and Mia Lozada and Adrianne Katrina Nelson and Chris Brown and Samantha Sabo and Cameron Curley and Olivia Muskett and Endel John Orav and Sonya Shin}, editor = {Prabath W. B. Nanayakkara}, url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0195476}, doi = {10.1371/journal.pone.0195476}, year = {2018}, date = {2018-08-02}, journal = {PLoS ONE}, volume = {13}, number = {8}, abstract = {OBJECTIVE: The objective of this study was to identify risk factors for 30-day readmission events for American Indian patients with diabetes in the southwest. RESEARCH DESIGN AND METHODS: Data from patients with diabetes admitted to Gallup Indian Medical Center between 2009 and 2016 were analyzed using logistic regression analyses. RESULTS: Of 2,660 patients, 394 (14.8%) patients had at least one readmission within 30 days of discharge. Older age (OR (95% CI) = 1.26, (1.17, 1.36)), longer length of stay (OR (95% CI) = 1.01, (1.0001, 1.0342)), and a history of substance use disorder (OR (95% CI) = 1.80, (1.25, 2.60)) were risk factors for 30-day readmission. An American Indian language preference was protective against readmission. CONCLUSIONS: Readmission events are complex and may reflect broad and interwoven disparities in community systems. Future research should work to support community-defined interventions to address both in hospital and external factors that impact risk factors for readmission.}, keywords = {}, pubstate = {published}, tppubtype = {article} } OBJECTIVE: The objective of this study was to identify risk factors for 30-day readmission events for American Indian patients with diabetes in the southwest. RESEARCH DESIGN AND METHODS: Data from patients with diabetes admitted to Gallup Indian Medical Center between 2009 and 2016 were analyzed using logistic regression analyses. RESULTS: Of 2,660 patients, 394 (14.8%) patients had at least one readmission within 30 days of discharge. Older age (OR (95% CI) = 1.26, (1.17, 1.36)), longer length of stay (OR (95% CI) = 1.01, (1.0001, 1.0342)), and a history of substance use disorder (OR (95% CI) = 1.80, (1.25, 2.60)) were risk factors for 30-day readmission. An American Indian language preference was protective against readmission. CONCLUSIONS: Readmission events are complex and may reflect broad and interwoven disparities in community systems. Future research should work to support community-defined interventions to address both in hospital and external factors that impact risk factors for readmission. |