Geographic Health Disparities: Satellite Clinics for Cancer Care in Rural Communities

Curtis, Meredith L.; Eschiti, Valerie S.

doi:10.1188/18.cjon.500-506

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Logical regression is used for a broad range of research applications and is especially popular with medical research in which the dependent variable has a binary format outcome of either 0 or 1, true or false, yes or no, high or low. The general mathematical equation of logistical regression is written as follows, where Y is the dependent variable based on X 1 , X 2 [ 15 ].

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Section: Methodsmentioning

confidence: 99%

Predict Health Care Accessibility for Texas Medicaid Gap

Zhang

2021

Healthcare

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Medicaid is a unique approach in ensuring the below poverty population obtains free insurance coverage under federal and state provisions in the United States. Twelve states without expanded Medicaid caused two million people who were under the poverty line into health insecurity. Principal Component-based logistical regression (PCA-LA) is used to consider health status (HS) as a dependent variable and fourteen social-economic indexes as independent variables. Four composite components incorporated health conditions (i.e., “no regular source of care” (NRC), “last check-up more than a year ago” (LCT)), demographic impacts (i.e., four categorized adults (AS)), education (ED), and marital status (MS). Compared to the unadjusted LA, direct adjusted LA, and PCA-unadjusted LA three methods, the PCA-LA approach exhibited objective and reasonable outcomes in presenting an odd ratio (OR). They included that health condition is positively significant to HS due to beyond one OR, and negatively significant to ED, AS, and MS. This paper provided quantitative evidence for the Medicaid gap in Texas to extend Medicaid, exposed healthcare geographical inequity, offered a sight for the Centers for Disease Control and Prevention (CDC) to improve the Medicaid program and make political justice for the Medicaid gap.

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Section: Methodsmentioning

confidence: 99%

Predict Health Care Accessibility for Texas Medicaid Gap

Zhang

2021

Healthcare

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“…Although a health care network may establish a central oncology clinic equipped with cutting edge technology to perform the most advanced procedures and research, investing in additional network clinics has been shown to improve access for patients seeking cancer treatment. 9 However, little research has been done in radiation oncology to assess whether any differences exist between the patient experience in the main hub and in community clinics. Based on its increased clinical resources, advanced technology, and greater funding for research, the central clinic could appear to provide a more enhanced patient experience relative to the network clinics.…”

Section: Introductionmentioning

confidence: 99%