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Introduction. Virtual fracture clinics (VFCs) are being increasingly used to offer safe and efficient orthopaedic review without the requirement for face-to-face contact. With the onset of the COVID-19 pandemic, we sought to develop an online referral pathway that would allow us to provide definitive orthopaedic management plans and reduce face-to-face contact at the fracture clinics. Methods. All patients presenting to the emergency department from 21March 2020 with a musculoskeletal injury or potential musculoskeletal infection deemed to require orthopaedic input were discussed using a secure messaging app. A definitive management plan was communicated by an on-call senior orthopaedic decision-maker. We analyzed the time to decision, if further information was needed, and the referral outcome. An analysis of the orthopaedic referrals for the same period in 2019 was also performed as a comparison. Results. During the study period, 295 patients with mean age of 7.93 years (standard error (SE) 0.24) were reviewed. Of these, 25 (9.8%) were admitted, 17 (5.8%) were advised to return for planned surgical intervention, 105 (35.6%) were referred to a face-to-face fracture clinic, 137 (46.4%) were discharged with no follow-up, and seven (2.4%) were referred to other services. The mean time to decision was 20.14 minutes (SE 1.73). There was a significant difference in the time to decision between patients referred to fracture clinic and patients discharged (mean 25.25 minutes (SE 3.18) vs mean 2.63 (SE 1.42); p < 0.005). There were a total of 295 referrals to the fracture clinic for the same period in 2019 with a further 44 emergency admissions. There was a statistically significant difference in the weekly referrals after being triaged by the VFC (mean 59 (SE 5.15) vs mean 21 (SE 2.17); p < 0.001). Conclusion. The use of an electronic referral pathway to deliver a point of care virtual fracture clinic allowed for efficient use of scarce resources and definitive management plan delivery in a safe manner. Cite this article: Bone Joint Open 2020;1-6:293–301


Bone & Joint Open
Vol. 1, Issue 6 | Pages 175 - 181
2 Jun 2020
Musowoya RM Kaonga P Bwanga A Chunda-Lyoka C Lavy C Munthali J

Aims

Sickle cell disease (SCD) is an autosomal recessive inherited condition that presents with a number of clinical manifestations that include musculoskeletal manifestations (MM). MM may present differently in different individuals and settings and the predictors are not well known. Herein, we aimed at determining the predictors of MM in patients with SCD at the University Teaching Hospital, Lusaka, Zambia.

Methods

An unmatched case-control study was conducted between January and May 2019 in children below the age of 16 years. In all, 57 cases and 114 controls were obtained by systematic sampling method. A structured questionnaire was used to collect data. The different MM were identified, staged, and classified according to the Standard Orthopaedic Classification Systems using radiological and laboratory investigations. The data was entered in Epidata version 3.1 and exported to STATA 15 for analysis. Multiple logistic regression was used to determine predictors and predictive margins were used to determine the probability of MM.