Santos-Zaldivar KP, Erosa-Villarreal RA, López-Muñoz R, Méndez-Domínguez N

Language: Spanish
References: 23
Page: 303-308
PDF size: 291.68 Kb.

ABSTRACT

Introduction: The epidemiology of diseases allows the generation of preventive measures, for the modification of their natural evolution or to prevent their appearance. In second-level hospitals of care, most of the pathologies of each medical specialty are treated. Therefore, knowing the main reasons for external consultation in orthopedics and their seasonal predominance is a tool for implementing strategies for the benefit of patients. Material and methods: Observational study carried out with the patient population of the external orthopedic consultation service of a second-level hospital of care, from January to December 2017. Patients over the age of 18 who first attended consultation were included. Results: 11,704 consultations granted in the period, 7,862 (67.17%) women and 3,842 (32.82%) men. The average age of patients was 51.84 ± 0.14. The most common cause of consultation was arthropathies (47.65%). During the autumn, the largest number of consultations (32.33) were granted. Conclusions: Arthropathies, specifically gonarthrosis, were the main reason for external consultation, accounting for nearly half of the consultations granted. It is transcendental to identify the modifiable risk factors of these pathologies with the aim of reducing the negative impact it generates at the functional, economic and quality of life level. Clinical relevance: Further epidemiological studies on orthopedic pathologies will improve preventive strategies and optimize resources to improve patient care.

REFERENCES

1. Rico C. Incidencia de padecimiento ortopédicos en pacientes adultos atendidos en un Hospital de asistencia privada. Acta Ortop Mex. 2007; 21(4): 177-81.

2. Vignolo J, Vacarezza M, Álvarez C, Sosa A. Niveles de atención, de prevención y atención primaria de la salud. Arch Med Int. 2011; 33(1): 11-4.

3. Azcona J, Barrau P, Tapia J, Pardillos J, Ibarz J, Gracia A. Detección precoz de trastornos musculo-esqueléticos: sistema de alertas para la identificación de alta incidencia, correlacionado con poblaciones envejecidas y aplicación de estrategias. Rev Asoc Esp Med Trab. 2016; 25(4): 195-259.

4. Parniapour M, Nordin M, Skovron ML, Frankel VH. Environmentally induced disorders of the musculoskeletal system. Med Clin North Am. 1990; 74(2): 347-59.

5. Harcombe H, McBride D, Derrett S, Gray A. Prevalence and impact of musculoskeletal disorders in New Zealand nurses, postal workes and office workes. Aust N Z J Public Health. 2009; 33(5): 437-41. doi: 10.1111/j.1753-6405.2009.00425.x.

6. Duclos M. Ostearthritis, obesity and type 2 diabetes: the weight of waist circumference. Ann Phys Rehabil Med. 2016; 59(3): 157-60. doi: 10.1016/j.rehab.2016.04.002.

7. Woo J, Lau E, Lee P, Kwok T, Lau WC, Chan C, et al. Impact of osteoarthritis on quality of life in a Hong Kong Chinese population. J Rheumatol. 2004; 31(12): 2433-8.

8. Wieczorek M, Rat A. Generalidades sobre la artrosis: epidemiología y factores de riesgo. EMC-Aparato Locomotor. 2017; 50(3): 1-12. doi:10.1016/S1286-935X(17)86066-4.

9. Moskowitz R. The burden of osteoarthritis: clinical and quality-of-life issues. Am J Manage Care. 2009; 15(8): S223-9.

10. Bárcena L, De la Fuente J, Tamez J, Salvatori J. Análisis de la demanda de atención y epidemiología. En: Paiz J, Cruz F, Fajardo G, Navarro F, Carrillo R. Traumatología y ortopedia. México, D.F.: Editorial Alfil; 2013. 7-24.

11. Davis K, Kotowski S. Prevalence of musculoskeletal disorders for nurses in hospitals, long-term care facilities, and home health care: a comprehensive review. Hum Factors. 2015; 57(5): 754-92. doi: 10.1177/0018720815581933.

12. Palazzo C, Nguyen C, Lefevre-Colau MM, Rannou F, Poiraudeau S. Risk factors and burden of osteoarthritis. Ann Phys Rehabil Med. 2016; 59(3): 134-8. doi: 10.1016/j.rehab.2016.01.006.

13. Frye C, Shmalberg J, Wakshlag JJ. Obesity, exercise and orthopedic disease. Vet Clin North Am Small Anim Pract. 2016; 46(5): 831-41. doi: 10.1016/j.cvsm.2016.04.006.

14. Rtveladze K, Marsh T, Sanchez L, Levy D, Melendez G, Webber L, et al. Obesity prevalence in Mexico: impact on health and economic burden. Public Health Nutr. 2014; 17(1): 233-9. doi: 10.1017/S1368980013000086.

15. Baquera S, Campos I, Rojas R, Rivera J. Obesidad en México: epidemiología y políticas de salud para su control y prevención. Gac Med Mex. 2010; 146: 397-407.

16. Bierman S, Koes B. Risk factors and prognostic factors of hip and knee osteoarthritits. Nat Clin Pract Rheumatol. 2006; 3(2): 78-85. doi: 10.1038/ncprheum0423.

17. Nguyen U, Zhang Y, Niu J, Zhang B, Felson D. Increasing prevalence of knee pain and symptomatic knee osteoarthritis: survey and cohort data. Ann Intern Med. 2011; 155(11): 725-32. doi: 10.7326/0003-4819-155-11-201112060-00004.

18. Bevan S. Economic impact of musculoskeletal disorders (MSDs) on work in Europe. Best Pract Res Clin Rheumatol. 2015; 29(3): 356-7. doi: 10.1016/j.berh.2015.08.002.

19. Reid C, Bush P, Cummings N, McMullin D, Durrani S. A review of occupation knee disorders. J Occup Rehabil. 2010; 20(4): 489-501. doi: 10.1007/s10926-010-9242-8.

20. Livingston K, Miller P, Lierhaus A, Matheney T, Mahan S. Does weather matter? The effect of weather patterns and temporal factors on pediatric orthopedic trauma volume. Open Orthop J. 2016; 10: 550-8.

21. Rising W, O’Daniel J, Roberts C. Correlating weather and trauma admissions at a level I trauma center. J Trauma. 2006; 60(5): 1096-1100. doi: 10.1097/01.ta.0000197435.82141.27.

22. Ali A, Willett K. What is the effect of the weather on trauma workload? A systematic review of the literature. Injury. 2015; 46(6): 945-53. doi: 10.1016/j.injury.2015.03.016.

23. Matter K, Widmer M, Busato A. Seasonal variation in orthopedic health services utilization in Switzerland: the impact of wintersport tourism. BMC Health Serv Res. 2006; 6: 25. doi: 10.1186/1472-6963-6-25.