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. 2023 Aug 17;33(10):1612–1620. doi: 10.1136/ijgc-2023-004563

Table 4.

Survey results regarding the question about the main barriers to ovarian cancer care

Main barriers Total
Yes, n (%)
High- income
Yes, n (%)
Upper-middle income
Yes, n (%)
Lower-middle/ low-income
Yes, n (%)
P value
2 )
Patient factors (elderly, frail, medical co-morbidities) 662 (62.5) 338 (69.5) 165 (54.5) 159 (58.9) <0.01
Disease factors (late stage disease/large tumor burden at diagnosis) 735 (69.4) 288 (59.3) 219 (72.3) 228 (84.4) <0.01
Diagnostic factors (lack of access to diagnostic procedures: radiology, pathology) 219 (20.7) 24 (4.9) 91 (30.0) 104 (38.5) <0.01
Diagnostic factors (lack of expertise: radiologists, pathologists) 140 (13.2) 17 (3.5) 51 (16.8) 72 (26.7) <0.01
Treatment factors: lack of surgical expertise 200 (18.9) 45 (9.3) 69 (22.8) 86 (31.9) <0.01
Treatment factors: lack of surgical time, surgical equipment, support staff 276 (26.1) 91 (18.7) 88 (29.0) 97 (35.9) <0.01
Treatment factors: lack of medical oncology expertise 89 (8.4) 16 (3.3) 29 (9.6) 44 (16.3) <0.01
Treatment factors: lack of access to chemotherapy or systemic agents 198 (18.7) 27 (5.6) 81 (26.7) 90 (33.3) <0.01
Peri-operative care (lack of ICU beds, critical care staff, equipment) 239 (22.6) 65 (13.4) 77 (25.4) 97 (35.9) <0.01
Genetic service access (lack of resources for BRCA/HRD testing) 371 (35.0) 39 (8.0) 153 (50.5) 179 (66.3) <0.01
Social factors (patient travel, distance, social support systems) 443 (41.8) 120 (24.7) 143 (47.2) 180 (66.7) <0.01
Cost of treatment 365 (34.5) 57 (11.7) 121 (39.9) 187 (69.3) <0.01
Patient preference (for no treatment or alternative treatments) 223 (21.1) 102 (21.0) 38 (12.5) 83 (30.7) <0.01