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1.
Malaysian Orthopaedic Journal ; : 100-104, 2021.
Artículo en Inglés | WPRIM | ID: wpr-920777

RESUMEN

@#Introduction: COVID-19 has had a significant impact on the entire health system. The trauma and orthopaedic service has been compelled to alter working practices to respond proactively and definitively to the crisis. The aim of this study is to summarise the impact of this outbreak on the trauma and orthopaedic workload and outline the response of the department. Materials and Methods: We retrospectively collected data comparing patient numbers pre-COVID-19, and prospectively during the early COVID-19 pandemic. We have collected the numbers and nature of outpatient orthopaedic attendances to fracture clinics and elective services, inpatient admissions and the number of fracture neck of femur operations performed. Results: The number of outpatient attendances for a musculoskeletal complaint to Accident and Emergency and the number of virtual fracture clinic reviews reduced by almost 50% during COVID-19. The number of face-to-face fracture clinic follow-ups decreased by around 67%, with a five-fold increase in telephone consultations. Inpatient admissions decreased by 33%, but the average number of fracture neck of femur operations performed has increased by 20% during COVID-19 compared to pre-COVID-19 levels. Conclusion: We have noted a decrease in some aspects of the trauma and orthopaedic outpatient workload, such as leisure and occupational-related injuries but an increase in others, such as fracture neck of femurs. Many injuries have significantly reduced in numbers and we consider that a model could be developed for treating these injuries away from the acute hospital site entirely, thereby allowing the acute team to focus more appropriate major trauma injuries.

2.
Artículo en Inglés | IMSEAR | ID: sea-88668

RESUMEN

BACKGROUND: COPCORD (Community oriented program from control of rheumatic diseases) is a global initiative of the WHO/International League of Associations from Rheumatology (ILAR). The prevalence data from the first Indian COPCORD survey (Stage 1), carried out in village Bhigwan (Dist. Pune), in 1996, is presented. AIM: To study the rural prevalence of rheumatic-musculoskeletal symptoms/diseases (RMSD). METHODS: A cross-sectional survey of the village (non-randomised selection) was completed in five weeks, using validated questionnaires, served by 21 trained volunteers. 746 patients (18.2%, 95% CI: 17-1-19-4) were identified (Phase 1) from 4092 adults (response 89%), and systematically evaluated (Phase 2 and 3) by a medical team, including a rheumatologist; limited investigations were carried out and diagnosis confirmed during a planned 12 week initial follow-up. Standard clinical criteria were used for the diagnosis; point prevalence estimates (prev)/confidence interval (CI) are shown in parenthesis. RESULTS: There was a dominant distribution of 'pain at all sites' (articular/soft tissues) in the females; painful neck (9.5%), back (17.3%), and calf (8.5%) appeared significant when compared to the Bhigwan males and the Indonesian and the Chinese rural COPCORD results. 55% RMSD were due to soft tissue rheumatism (5.5%) and an ill-defined/unclassifiable symptom-related-diagnosis (7.1%). Osteoarthritis (5.8%) and inflammatory arthritis (IA) were seen in 29% and 10% patients respectively. 240 patients (5.9%) with chronic knee pains did not show any clinical evidence of OA. The prev of rheumatoid arthritis (0.5%, 95% CI: 0.3-0.7), as classified by the American College of Rheumatology, was the highest ever reported from an Asian rural COPCORD study. Though unclassifiable IA (0.9%, 95% CI: 0.6-1.1) was seen, well defined reactive arthritis, TB, leprosy and connective tissue disorders were not observed. Gout was diagnosed in five patients (0.12%). CONCLUSIONS AND DISCUSSION: The Bhigwan COPCORD survey demonstrates a significant rural spectrum of RMSD. It provides a reasonable speculation about the Indian rheumatological burden. Further, an eight year prospective study is in progress to identify new cases and risk factors, and educate people (Stages 2 and 3).


Asunto(s)
Adolescente , Adulto , Distribución por Edad , Anciano , Niño , Preescolar , Recolección de Datos , Escolaridad , Femenino , Humanos , India/epidemiología , Lactante , Masculino , Persona de Mediana Edad , Prevalencia , Enfermedades Reumáticas/diagnóstico , Factores de Riesgo , Salud Rural/estadística & datos numéricos , Distribución por Sexo
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