DIFFERENCES IN FIVE YEAR OUTCOMES AND FOLLOW-UP CARE POST INDEX CORONARY ANGIOGRAPHY AMONG FIRST NATION PEOPLE AND ALL OTHER MANITOBANS

2018 ◽  
Vol 34 (10) ◽  
pp. S64-S65
Author(s):  
A. Schultz ◽  
L. Dahl ◽  
E. McGibbon ◽  
J. Brownlie ◽  
C. Cook ◽  
...  
Keyword(s):  
Coronary Angiography ◽  
First Nation ◽  
Follow Up Care ◽  
Nation People

Health Outcome and Follow-up Care Differences Between First Nation and Non-First Nation Coronary Angiogram Patients: A Retrospective Cohort Study

2018 ◽  
Vol 34 (10) ◽  
pp. 1333-1340 ◽  
Author(s):  
Annette Schultz ◽  
Lindsey Dahl ◽  
Elizabeth McGibbon ◽  
Jarvis Brownlie ◽  
Catherine Cook ◽  
...  
Keyword(s):  
Health Outcome ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
First Nation ◽  
Coronary Angiogram ◽  
Follow Up Care

Urban Study Uses Follow-Up Care to Prevent RSV

2007 ◽  
Vol 41 (1) ◽  
pp. 23
Author(s):  
BRUCE K. DIXON
Keyword(s):  
Urban Study ◽  
Follow Up Care

Optimizing Breast Cancer Follow-up Care: Diagnostic Value and Costs of Additional Routine Breast Ultrasound

2010 ◽  
Vol 31 (S 01) ◽  
Author(s):  
S Wojcinski ◽  
A Farrokh ◽  
U Hille ◽  
E Hirschauer ◽  
W Schmidt ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Diagnostic Value ◽  
Breast Ultrasound ◽  
Follow Up Care

Follow-Up Care for Older Women With Breast Cancer

1998 ◽  
Author(s):  
Sherrie H. Kaplan ◽  
Rebecca A. Silliman
Keyword(s):  
Breast Cancer ◽  
Older Women ◽  
Follow Up Care

Demographic factors associated with missed follow-up among solid tumor patients treated at a large multi-site academic institution

2020 ◽  
Vol 16 (32) ◽  
pp. 2635-2643
Author(s):  
Samantha L Freije ◽  
Jordan A Holmes ◽  
Saleh Rachidi ◽  
Susannah G Ellsworth ◽  
Richard C Zellars ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Odds Ratio ◽  
Regression Models ◽  
Tumor Patients ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Follow Up Care ◽  
Risk Patients ◽  
African American Race

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.

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