J Neurol Surg B Skull Base
DOI: 10.1055/a-2454-7429
Letter to the Editor

How Accessible are Clinical Trials for Skull Base Disorders within the United States?

Dany Alkurdi
1   Department of Otolaryngology–Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, United States
,
Shiven Sharma
1   Department of Otolaryngology–Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, United States
,
Ezdean Alkurdi
2   Department of Radiology, UMass Chan Medical School, Worcester, Massachusetts, United States
,
Dev Patel
1   Department of Otolaryngology–Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, United States
,
Omar Alani
1   Department of Otolaryngology–Head and Neck Surgery, Icahn School of Medicine at Mount Sinai, New York, New York, United States
,
George Nassief
3   Department of Computer Science, Washington University in St. Louis, St. Louis, Missouri, United States
,
Raj K. Shrivastava
4   Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, United States
› Author Affiliations

Skull base disorders (SBDs) have gained attention within the medical community due to the rising incidence and complexity of treatment. SBD risk has been correlated with low socioeconomic status (SES), among other factors.[1] [2] Importantly, low SES is linked to reduced geographic accessibility to health care services,[3] including clinical trials, a disparity accentuated by the coronavirus disease 2019 (COVID-19) pandemic. To elucidate the concept of geographic accessibility within SBDs, we performed a retrospective trend analysis, evaluating geographic access to SBD clinical trials across the United States for a period of 20 years.

The clinical trial data were obtained from the ClinicalTrials.gov Application Programming Interface (API) by using a comprehensive keyword search strategy related to SBDs. Next, we measured SBD population demographics from the Census.gov API. Lastly, we calculated distances between ZIP code population centers and clinical trial locations using the Haversine formula[4] and then assessed changes in accessibility over time starting from 2005 until 2024.

We identified 18,750 SBD clinical trials, 12,044 of which were initiated before 2020 and 6,706 after. At least one clinical trial was hosted at 2,442 unique ZIP codes, with an average of 7.86 trials per each of these zip codes. Linear regression analysis demonstrated a slight increase in the average distance to the nearest clinical trial over time (slope = 1.87 km/year), with substantial increases from post-COVID, although this trend was not statistically significant (p = 0.0739; [Fig. 1]). The population coverage at various distance thresholds over time was also evaluated ([Table 1]). When assessing population coverage before and after 2020, no significant reduction in accessibility postpandemic was found (t-test statistic = 1.47, p = 0.205). However, the number of clinical trials decreased consistently from pre- to post-COVID, with 2,997 trials in 2019 and just 586 by 2023. While this reduction may reflect a disruption in research activities due to the pandemic, other factors may also have played a role, such as rising clinical demands on health care providers detracting from clinical trial initiation, shifts in research priorities, or decreased governmental or private funding for trials during this period.

Table 1

Percent population coverage within distance thresholds

Year

10 miles

20 miles

30 miles

40 miles

50 miles

60 miles

70 miles

80 miles

90 miles

100 miles

2005

54.04

72.8

81.1

85.9

88.97

91.19

93.1

94.77

95.9

96.89

2006

53.24

71.48

79.56

84.7

88.11

90.65

92.81

94.24

95.59

96.41

2007

54.53

70.86

78.96

84.01

87.74

90.34

92.75

94.42

95.68

96.81

2008

63.85

78.88

85.62

89.78

92.52

94.55

95.7

96.72

97.46

97.97

2009

55.01

72.64

80.45

85.39

88.72

91.34

93.12

94.62

95.76

96.54

2010

53.62

71.29

79.64

84.58

88.2

90.77

92.93

95.11

96.98

98.07

2011

49.35

67.55

75.68

81.27

84.93

87.55

89.76

91.96

93.45

94.62

2012

51.32

68.34

76.17

81.86

85.69

88.58

90.96

92.68

94.25

95.7

2013

47.93

66.21

74.3

79.51

83.33

86.73

89.43

91.08

92.96

94.24

2014

67.97

82.59

88.85

92.78

94.96

96.56

97.44

98.08

98.58

98.83

2015

71.87

85.02

90.72

94.15

95.96

97.28

98.03

98.6

98.98

99.21

2016

56.26

73.92

81.07

86.48

89.85

92.24

94.06

95.31

96.15

96.79

2017

67.54

81.06

86.85

90.91

93.33

95.15

96.38

97.16

97.69

98.17

2018

51.84

68.88

76.54

80.96

84.23

86.82

89.11

90.93

92.83

94.33

2019

66.22

79.74

85.8

89.53

92.25

94.42

96.13

97.27

98.2

98.68

2020

70.7

82.97

88.76

92.43

94.73

96.2

97.24

97.91

98.49

98.97

2021

58.59

72.61

80.23

84.64

87.87

90.09

92.13

93.88

95.46

96.72

2022

44.39

60.61

68.57

73.37

77.34

80.46

82.8

84.77

86.93

89.35

2023

49.41

65.33

72.08

77.44

81.22

84.3

87.02

89.53

91.39

93.18

2024

33.23

48.45

56.74

61.86

66.56

70.29

73.96

78.11

81.01

83.79

Zoom Image
Fig. 1 Average distance to clinical trials over time.

The results are consistent with previous studies demonstrating a correlation between geographic accessibility and health care facility use.[5] The coverage analysis shows decreasing accessibility to trial sites, particularly within shorter distances (i.e., 10 and 20 miles), suggesting that these locations are becoming less accessible for a larger portion of the population. Additionally, the average distance to SBD clinical trials is increasing while the total number of such trials is decreasing with time, reflecting the fragility of the clinical trial infrastructure in the wake of the COVID-19 pandemic.[6] Although many of these trends did not reach statistical significance, they suggest the need for ongoing efforts to expand the geographic footprint of clinical trials and ultimately alleviate patient travel burdens. One of these efforts may include increased funding dedicated to SBD clinical trials from public sources, such as the National Institute of Health, which would provide greater resources to establish studies in underserved or rural areas. Another effort may be stronger collaborations with local health care institutions, which could facilitate access to more clinical trial sites and diversify the patient population. Relatedly, clinical trials that focus on more common SBDs, such as meningiomas or vestibular schwannomas, are likely to face fewer geographic access disparities, as a larger number of patients would reside closer to trial sites.[7]

These findings have critical implications for skull base surgery, as enhanced access to clinical trials is essential for patients with SBDs to benefit from novel therapies and techniques. Improved geographic accessibility may boost patient participation, potentially leading to the earlier adoption of innovative procedures and improved clinical outcomes. Future research should explore geographic accessibility to other health care services in skull base surgery, particularly during challenging circumstances, emphasizing the exploration of strategies that alleviate the disparities present in health care access for patients with SBDs.



Publication History

Article published online:
18 November 2024

© 2024. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 London AO, Gallagher LW, Sharma RK. et al. Impact of race, ethnicity, and socioeconomic status on nasopharyngeal carcinoma disease-specific and conditional survival. J Neurol Surg B Skull Base 2021; 83 (05) 451-460
  • 2 Mikhael ST, Tadrosse AF, Tadrosse MF. et al. Geographic and socioeconomic factors on survival in esthesioneuroblastoma. Laryngoscope 2021; 131 (07) E2162-E2168
  • 3 Kirby JB, Kaneda T. Access to health care: does neighborhood residential instability matter?. J Health Soc Behav 2006; 47 (02) 142-155
  • 4 Shahid R, Bertazzon S, Knudtson ML, Ghali WA. Comparison of distance measures in spatial analytical modeling for health service planning. BMC Health Serv Res 2009; 9: 200
  • 5 Tsui J, Hirsch JA, Bayer FJ. et al. Patterns in geographic access to health care facilities across neighborhoods in the United States based on data from the national establishment time-series between 2000 and 2014. JAMA Netw Open 2020; 3 (05) e205105
  • 6 Boughey JC, Snyder RA, Kantor O. et al. Impact of the COVID-19 pandemic on cancer clinical trials. Ann Surg Oncol 2021; 28 (12) 7311-7316
  • 7 Forst DA, Jones PS. Skull base tumors. Continuum (Minneap Minn) 2023; 29 (06) 1752-1778