Is Patient Travel Distance Associated With Survival on Phase II Clinical Trials in Oncology?

Lamont, Elizabeth B.; Hayreh, Davinder; Pickett, Kate E.; Dignam, James J.; List, Marcy A.; Stenson, Kerstin; Haraf, Daniel J.; Brockstein, B.; Sellergren, Sarah A.; Vokes, Everett E.

doi:10.1093/jnci/djg035

Cited by 133 publications

(99 citation statements)

References 27 publications

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“…Distance was also separately examined as a dichotomous variable, using a conventional cut point (24 km [15 miles]). 15 Census tract poverty rates represent the percentage of residents in the census tract living at or below the 100% poverty line based on 2000 census information. 29 Rurality was examined using the Office of Management and Budget metropolitan classification system and the US Department of Agriculture rural urban classification codes.…”

Section: Methodsmentioning

confidence: 99%

“…Although increased travel distance is generally viewed as a barrier to screening, early diagnosis, and treatment, previous studies 15,17,[23][24][25] examining the role of travel distance for patients with cancer have had mixed results. We hypothesize that for patients with melanoma greater distance to a diagnosing provider is associated with increased Breslow thickness or stage at diagnosis.…”

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confidence: 99%

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Distance to Diagnosing Provider as a Measure of Access for Patients With Melanoma

Stitzenberg¹,

Thomas²,

Dalton³

et al. 2007

Arch Dermatol

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Distance to Diagnosing Provider as a Measure of Access for Patients With Melanoma

Stitzenberg¹,

Thomas²,

Dalton³

et al. 2007

Arch Dermatol

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“…Thus, improving the access of older patients to academic centers may increase their enrollment in clinical trials [Gross et al 2005]. Prior studies have also shown that patients who travel farther to enroll into studies have better outcomes [Lamont et al 2003]. Although this may be partly related to selection of healthier subset of elderly patients, older patients benefit from enrollment in clinical trials of novel agents.…”

Section: Discussionmentioning

confidence: 99%

Demographic and other characteristics of nodal non-Hodgkin’s lymphoma managed in academic versus non-academic centers

Bhatt

Dhakal

Dahal

et al. 2015

Therapeutic Advances in Hematology

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Background: Cancer therapy and outcomes are known to be affected by various demographic features and hospital types. We aimed to identify the characteristics of non-Hodgkin's lymphoma (NHL) patients associated with receipt of care at academic centers. Method: This is a retrospective study of all patients diagnosed with nodal NHL between 2000 and 2011 in the National Cancer Database (NCDB), who received the diagnosis, and all or part of their initial therapy in the reporting hospital (n = 243,436). Characteristics of patients receiving care in academic versus nonacademic centers were compared using the Chi-square test.Results: Approximately 27% received care in academic centers. Patients receiving care in nonacademic centers, compared with academic centers, were more likely to be ⩾60 years (69% versus 58%, p < .0001), White (89% versus 80%, p < .0001) and have lower educational attainment (>12% without high school diploma: 72% versus 69%, p < .0001) and economic status (household income <$49,000: 66% versus 61%, p < 0.0001). Patients receiving care in nonacademic centers were less likely to travel ⩾25 miles (21% versus 26%, p < 0.0001). White patients, compared with non-Whites, were more likely to be ⩾60 years (70% versus <50%, p < 0.0001), which probably explains less care in academic centers. Conclusions: Patients ⩾60 years and those with poorer educational attainment and economic status were less likely to receive care in academic centers. Care in academic centers required a longer commute. Elderly patients frequently have inferior outcomes and may benefit from clinical trials with novel agents and expertise at academic centers.

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“…Previous studies have focused on documenting differences in patient outcomes from administrative or survey data. 5,6 Other studies have focused on changes due to distance traveled, [12][13][14] rural hospital closure, [15][16][17][18][19][20] and staffi ng changes.…”

Section: Discussionmentioning

confidence: 99%

Effect of Closure of a Local Safety-Net Hospital on Primary Care Physicians' Perceptions of Their Role in Patient Care

Walker¹,

Clarke²,

Ryan³

et al. 2011

The Annals of Family Medicine

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PURPOSEWe examined how the closure of a large safety-net hospital in Los Angeles County, California, affected local primary care physicians. METHODSWe conducted semistructured interviews with 42 primary care physicians who practiced in both underserved and nonunderserved settings in Los Angeles County. Two investigators independently reviewed and coded transcripts. Three investigators used pile-sorting to sort the codes into themes.RESULTS Overall, 28 of 42 physicians (67%) described some effect of the hospital closure on their practices. Three major themes emerged regarding the impact of the closure on the affected physicians: (1) reduced local access to specialist consultations, direct hospital admissions, and timely emergency department evaluation; (2) more patient delays in care and worse health outcomes because of poor patient understanding of the health care system changes; and (3) loss of colleagues and opportunities to teach residents and medical students.CONCLUSIONS Physicians in close proximity to the closed hospital-even those practicing in nonunderserved settings-reported diffi culty getting their patients needed care that extended beyond the anticipated loss of inpatient services. There is a need for greater recognition of and support for the role primary care physicians play in coordinating care; promoting continuity of care; and informing patients, clinic administrators and policy makers about system changes during such transitions.

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Is Patient Travel Distance Associated With Survival on Phase II Clinical Trials in Oncology?

Cited by 133 publications

References 27 publications

Distance to Diagnosing Provider as a Measure of Access for Patients With Melanoma

Distance to Diagnosing Provider as a Measure of Access for Patients With Melanoma

Demographic and other characteristics of nodal non-Hodgkin’s lymphoma managed in academic versus non-academic centers

Effect of Closure of a Local Safety-Net Hospital on Primary Care Physicians' Perceptions of Their Role in Patient Care

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