↓ Skip to main content

Private healthcare sector spine surgery: patient and surgeon profiles from a large open medical scheme in South Africa

Overview of attention for article published in South African Medical Journal, July 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Private healthcare sector spine surgery: patient and surgeon profiles from a large open medical scheme in South Africa
Published in
South African Medical Journal, July 2023
DOI 10.7196/samj.2023.v113i7.291
Pubmed ID
Authors

T Mann, I Vlok, R N Dunn, S Miseer, J Davis

Abstract

Background It is generally understood that the profile of spine surgery varies by setting, based on factors such as the age profile of the population, the economic context and access to healthcare. Relatively little is known about the profile of spine surgery in South Africa, although one previous report from the public healthcare sector suggested a high burden of trauma and infection-related surgery. To our knowledge, there has been no formal investigation in the private sector. A holistic understanding of spine surgery within our setting may be beneficial for applications such as resource allocation and informing the training needs of future specialists.   Objectives To provide insight into spinal surgery in the South African private healthcare sector by describing spine surgery characteristics within a large open medical scheme, including both patient and surgeon profiles.   Methods This retrospective review included adult inpatient spine surgeries funded by the largest open medical scheme in South Africa between 2008 and 2017. An anonymized dataset extracted from the scheme records included patient demographics, ICD-10 codes, procedure codes and surgeon specialization. Descriptive patient and surgery data were presented. Furthermore, the association between patient and surgery factors and surgeon specialization was investigated using univariate and multivariate analyses.   Results A total of 49,576 index spine surgeries were included. The largest proportion of surgeries involved members 40-59 years old (n=23,543, 48%), approximately half involved female members (n=25,293, 51%) and most were performed by neurosurgeons (n=35,439, 72%). At least 37,755 (76%) surgeries were for degenerative pathology, 2,100 (4%) for trauma and 242 (0.5%) for infection. Adjusted risk ratios (aRR) significantly associated with orthopaedic surgeon specialization included cervical spine region aRR = 0.49 (95% C.I. 0.39-0.61), trauma aRR = 1.50 (95% C.I. 1.20-1.88), deformity aRR = 1.77 (95% C.I. 1.33-2.35) and blood transfusion aRR = 1.46 (95% C.I. 1.12-1.91).   Conclusion Spine surgery in South Africa's largest open medical scheme was dominated by surgery for degenerative pathology in older adults and was performed largely by neurosurgeons. This constituted a stark contrast to a previous report from the public sector and highlighted a mismatch between exposure during public sector registrar training and private practice post-specialization. The findings support the need for private-public collaboration as well as the importance of spine fellowships for all specialists intending to practice spine surgery.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 2 33%
Student > Master 2 33%
Researcher 1 17%
Unknown 1 17%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Decision Sciences 1 17%
Nursing and Health Professions 1 17%
Unknown 2 33%