The impact of a decentralised orthopaedic service on tertiary referrals in Cape Town, South Africa

BACKGROUND

In South Africa (SA), district hospitals (DHs) have limited capacity to manage the high burden of traumatic injuries. Scaling up decentralised orthopaedic care could strengthen trauma systems and improve timely access to essential and emergency surgical care (EESC). Khayelitsha township in Cape Town, SA, has the highest trauma burden in the Cape Metro East health district.

OBJECTIVES

The primary objective of this study was to describe the impact of Khayelitsha District Hospital (KDH) on acute orthopaedic services in the health district, with a focus on the volume and type of orthopaedic services provided without tertiary referral.

METHODS

This retrospective analysis described acute orthopaedic cases from Khayelitsha and their management between 1 January 2018 and 31 December 2019. Orthopaedic resources and the proportion of cases referred to the tertiary hospital by all DHs in the Cape Metro East health district are described.

RESULTS

In 2018 - 2019, KDH performed 2 040 orthopaedic operations, of which 91.3% were urgent or emergencies. KDH had the most orthopaedic resources and the lowest referral ratio (0.18) compared with other DHs (0.92 - 1.35). In Khayelitsha, 2 402 acute orthopaedic cases presented to community health clinics. Trauma (86.1%) was the most common mechanism of injury for acute orthopaedic referrals. Of clinic cases, 2 229 (92.8%) were referred to KDH and 173 (7.2%) directly to the tertiary hospital. The most common reason for direct tertiary referral was condition related (n=157; 90.8%).

CONCLUSION

This study outlines a successful example of a decentralised orthopaedic surgical service that increased EESC accessibility and alleviated the high burden of tertiary referrals compared with other DHs with fewer resources. Further research on the barriers to scaling up orthopaedic DH capacity in SA is needed to improve equitable access to surgical care.

The ASOS Surgical Risk Calculator: development and validation of a tool for identifying African surgical patients at risk of severe postoperative complications

BACKGROUND

The African Surgical Outcomes Study (ASOS) showed that surgical patients in Africa have a mortality twice the global average. Existing risk assessment tools are not valid for use in this population because the pattern of risk for poor outcomes differs from high-income countries. The objective of this study was to derive and validate a simple, preoperative risk stratification tool to identify African surgical patients at risk for in-hospital postoperative mortality and severe complications.

METHODS

ASOS was a 7-day prospective cohort study of adult patients undergoing surgery in Africa. The ASOS Surgical Risk Calculator was constructed with a multivariable logistic regression model for the outcome of in-hospital mortality and severe postoperative complications. The following preoperative risk factors were entered into the model; age, sex, smoking status, ASA physical status, preoperative chronic comorbid conditions, indication for surgery, urgency, severity, and type of surgery.

RESULTS

The model was derived from 8799 patients from 168 African hospitals. The composite outcome of severe postoperative complications and death occurred in 423/8799 (4.8%) patients. The ASOS Surgical Risk Calculator includes the following risk factors: age, ASA physical status, indication for surgery, urgency, severity, and type of surgery. The model showed good discrimination with an area under the receiver operating characteristic curve of 0.805 and good calibration with c-statistic corrected for optimism of 0.784.

CONCLUSIONS

This simple preoperative risk calculator could be used to identify high-risk surgical patients in African hospitals and facilitate increased postoperative surveillance.

CLINICAL TRIAL REGISTRATION

NCT03044899.