| Literature DB >> 33103110 |
Faith C Robertson1, Sujit Gnanakumar2,3, Claire Karekezi4, Kerry Vaughan5, Roxanna M Garcia6, Bilal Abou El Ela Bourquin2,3, Fahd Derkaoui Hassani7, Alexander Alamri8, Nesrine Mentri9, Julius Höhne10, Tsegazeab Laeke3,11, Hosam Al-Jehani12,13, Luis Rafael Moscote-Salazar14, Ahmed Nasser Al-Ahmari15, Nicolás Samprón16, Martin N Stienen17, Federico Nicolosi18, Davi J Fontoura Solla19, P David Adelson20, Franco Servadei18, Amro Al-Habib21, Ignatius Esene22, Angelos G Kolias3,23.
Abstract
BACKGROUND: Strengthening health systems requires attention to workforce, training needs, and barriers to service delivery. The World Federation of Neurosurgical Societies Young Neurosurgeons Committee survey sought to identify challenges for residents, fellows, and consultants within 10 years of training.Entities:
Keywords: 3D, Three-dimensional; Barriers; CT, Computed tomography; Capacity; Global health; Global neurosurgery; HICs, High-income countries; LICs, Low-income countries; LMICs, Low-middle-income countries; MRI, Magnetic resonance imaging; Neurosurgery; QALYs, Quality-adjusted life years; Service delivery; Training; UMICs, Upper-middle-income countries; WFNS, World Federation of Neurosurgical Societies
Year: 2020 PMID: 33103110 PMCID: PMC7573643 DOI: 10.1016/j.wnsx.2020.100084
Source DB: PubMed Journal: World Neurosurg X ISSN: 2590-1397
Perceived Systemic Barriers to Meeting the Needs of the Local Population
| High-Income Economies (n = 431), n (%) (95% CI) | Upper-Middle-Income Economies (n = 228), n (%) (95% CI) | Lower-Middle-Income Economies (n = 255), n (%) (95% CI) | Low-Income Economies (n = 39), n (%) (95% CI) | Total (n = 953), n (%) (95% CI) | ||
|---|---|---|---|---|---|---|
| N/A–the neurosurgical care needs of my local population are perfectly covered | 167 (38.8) (34.3–43.4) | 47 (20.6) (15.9–26.3) | 28 (11) (7.7–15.4) | 4 (10.3) (4.1–23.6) | 246 (25.8) (23.1–28.7) | <0.0001 |
| Inadequate or no insurance coverage for significant number of people | 36 (8.4) (6.1–11.3) | 70 (30.7) (25.1–37) | 150 (58.8) (52.7–64.7) | 21 (53.9) (38.6–68.4) | 277 (29.1) (26.3–32) | <0.0001 |
| The limited number of trained neurosurgeons | 54 (12.5) (9.7–16) | 68 (29.8) (24.3–36.1) | 79 (31) (25.6–36.9) | 27 (69.2) (53.6–81.4) | 228 (23.9) (21.3–26.7) | <0.0001 |
| The limited number of neurosurgical beds | 92 (21.4) (17.7–25.5) | 75 (32.9) (27.1–39.2) | 78 (30.6) (25.3–36.5) | 21 (53.9) (38.6–68.4) | 266 (27.9) (25.2–30.8) | <0.001 |
| The limited number of intensive care unit beds | 104 (24.1) (20.3–28.4) | 99 (43.4) (37.2–49.9) | 124 (48.6) (42.6–54.7) | 21 (53.9) (38.6–68.4) | 348 (36.5) (33.5–39.6) | 0.01 |
| Lack of access to equipment necessary for microsurgery (e.g. microscope, drill, bipolar) | 22 (5.1) (3.4–7.6) | 70 (30.7) (25.1–37) | 117 (45.9) (39.9–52) | 21 (53.9) (38.6–68.4) | 230 (24.1) (21.5–27) | <0.0001 |
| Lack of regular/consistent access to computed tomography | 5 (1.2) (0.5–2.7) | 8 (3.5) (1.8–6.8) | 29 (11.4) (8–15.9) | 10 (25.6) (14.6–41.1) | 52 (5.5) (4.2–7.1) | <0.0001 |
| Lack of regular access to magnetic resonance imaging | 30 (7) (4.9–9.8) | 50 (21.9) (17.1–27.7) | 55 (21.6) (17–27) | 18 (46.2) (31.6–61.4) | 153 (16.1) (13.9–18.5) | <0.0001 |
| Lack of organized primary care | 52 (12.1) (9.3–15.5) | 58 (25.4) (20.2–31.5) | 87 (34.1) (28.6–40.1) | 10 (25.6) (14.6–41.1) | 207 (21.7) (19.2–24.5) | 0.02 |
| Lack of organized prehospital/emergency hospital care | 42 (9.7) (7.3–12.9) | 59 (25.9) (20.6–31.9) | 108 (42.4) (36.4–48.5) | 21 (53.9) (38.6–68.4) | 230 (24.1) (21.5–27) | <0.0001 |
| Lack of organized rehabilitation care | 79 (18.3) (15–22.3) | 76 (33.3) (27.5–39.7) | 105 (41.2) (35.3–47.3) | 21 (53.9) (38.6–68.4) | 281 (29.5) (26.7–32.5) | <0.001 |
| Other | 63 (14.6) (11.6–18.3) | 16 (7) (4.4–11.1) | 20 (7.8) (5.1–11.8) | 4 (10.3) (4.1–23.6) | 103 (10.8) (9–12.9) | 0.2839 |
Summary of young neurosurgery respondents' (n = 953) perceived systemic barriers to meeting the needs of the local population by World Bank income classification.
CI, confidence interval.
Perceived Personal Challenges Encountered in Daily Practice
| High-Income Economies (n = 431), n (%) (95% CI) | Upper-Middle-Income Economies (n = 228), n (%) (95% CI) | Lower-Middle-Income Economies (n = 255), n (%) (95% CI) | Low-Income Economies (n = 39), n (%) (95% CI) | Total (n = 953), n (%) (95% CI) | ||
|---|---|---|---|---|---|---|
| N/A–there are no hurdles | 56 (13) (10.1–16.5) | 14 (6.1) (3.7–10) | 8 (3.1) (1.6–6.1) | 1 (2.6) (0.5–13.2) | 79 (8.3) (6.7–10.2) | 0.01 |
| Lack of access to organized teaching/training sessions | 157 (36.4) (32–41.1) | 113 (49.6) (43.1–56) | 126 (49.4) (43.3–55.5) | 20 (51.3) (36.2–66.1) | 416 (43.7) (40.5–46.8) | 0.35 |
| Limited number of opportunities for hands-on operating | 187 (43.4) (38.8–48.1) | 100 (43.9) (37.6–50.4) | 116 (45.5) (39.5–51.6) | 22 (56.4) (41–70.7) | 425 (44.6) (41.5–47.8) | 0.52 |
| Long hours of work | 162 (37.6) (33.2–42.3) | 107 (46.9) (40.6–53.4) | 111 (43.5) (37.6–49.7) | 16 (41) (27.1–56.6) | 396 (41.6) (38.5–44.7) | 0.79 |
| Poor work/life balance | 153 (35.5) (31.1–40.1) | 97 (42.5) (36.3–49) | 122 (47.8) (41.8–54) | 18 (46.2) (31.6–61.4) | 390 (40.9) (37.8–44.1) | 0.59 |
| Bullying and harassment issues | 53 (12.3) (9.5–15.7) | 33 (14.5) (10.5–19.6) | 36 (14.1) (10.4–18.9) | 4 (10.3) (4.1–23.6) | 126 (13.2) (11.2–15.5) | 0.76 |
| Lack of regular access to the advice of experienced/senior colleagues | 53 (12.3) (9.5–15.7) | 51 (22.4) (17.4–28.2) | 54 (21.2) (16.6–26.6) | 16 (41) (27.1–56.6) | 174 (18.3) (15.9–20.8) | <0.001 |
| Lack of a mentor | 110 (25.5) (21.6–29.8) | 55 (24.1) (19–30.1) | 65 (25.5) (20.5–31.2) | 15 (38.5) (24.9–54.1) | 245 (25.7) (23–28.6) | 0.17 |
| Lack of access to neurosurgical journals | 51 (11.8) (9.1–15.2) | 60 (26.3) (21–32.4) | 84 (25.1) (20.2–30.8) | 25 (64.1) (48.4–77.3) | 220 (28.6) (20.5–25.9) | <0.0001 |
| Lack of access to neurosurgical textbooks | 32 (7.4) (5.3–10.3) | 37 (16.2) (12–21.6) | 44 (17.3) (13.1–22.4) | 10 (25.6) (14.6–41.1) | 123 (12.9) (10.9–15.2) | 0.02 |
| Limited opportunities to do research | 149 (34.6) (30.2–39.2) | 131 (57.5) (51–63.7) | 157 (61.6) (55.5–67.3) | 24 (61.5) (45.9–75.1) | 461 (48.4) (45.2–51.5) | 0.03 |
| Other | 25 (5.8) (4–8.4) | 10 (4.4) (2.4–7.9) | 16 (6.3) (3.9–9.9) | 4 (10.3) (4.1–23.6) | 55 (5.8) (4.5–7.4) | 0.40 |
Summary of young neurosurgery respondents (n = 953) perceived personal challenges encountered in daily practice by World Bank income classification.
CI, confidence interval.
Figure 1Categorization of respondent requests into categories of knowledge-based training, technical training, networking/mentorship, and resources. (A) Overall respondents and (B–E) by World Bank income classification: (B) high-income countries, (C) upper middle-income countries, (D) low-middle-income countries, and (E) low-income countries.
Figure 2Detailed categorization of respondents' requests for improvement in their current neurosurgical system. Of the 1673 individual requests for system improvement, the most frequent request was for research (384 individuals), followed by additional education (296 individuals), and additional subspecialty or fellowship training requests (232 respondents). The subspecialties of interest are shown below. Twenty-five percent of fellowship requests came from high-income countries, 26.3% from upper-middle-income countries, 44.0% from low-middle-income countries, and 4.74% from low-income countries. CME, continuing medical education.
Figure 3Requested fellowships from young neurosurgery respondents. A total of 232 individuals expressed interest in additional fellowship training. Of the specified fields (102 unspecified), most respondents requested training in cerebrovascular (n = 26), spine (n = 25) and skull base (n = 21).