A calculator for musculoskeletal injuries prediction in surgeons: a machine learning approach.

BACKGROUND: Surgical specialists experience significant musculoskeletal strain as a consequence of their profession, a domain within the healthcare system often recognized for the pronounced impact of such issues. The aim of this study is to calculate the risk of presenting musculoskeletal injuries in surgeons after surgical practice. METHODS: Cross-sectional study carried out using an online form (12/2021-03/2022) aimed at members of the Spanish Association of Surgeons. Demographic variables on physical and professional activity were recorded, as well as musculoskeletal pain (MSP) associated with surgical activity. Univariate and multivariate analysis were conducted to identify risk factors associated with the development of MSP based on personalized surgical activity. To achieve this, a risk algorithm was computed and an online machine learning calculator was created to predict them. Physiotherapeutic recommendations were generated to address and alleviate each MSP. RESULTS: A total of 651 surgeons (112 trainees, 539 specialists). 90.6% reported MSP related to surgical practice, 60% needed any therapeutic measure and 11.7% required a medical leave. In the long term, MSP was most common in the cervical and lumbar regions (52.4, 58.5%, respectively). Statistically significant risk factors (OR CI 95%) were for trunk pain, long interventions without breaks (3.02, 1.65-5.54). Obesity, indicated by BMI, to lumbar pain (4.36, 1.84-12.1), while an inappropriate laparoscopic screen location was associated with cervical and trunk pain (1.95, 1.28-2.98 and 2.16, 1.37-3.44, respectively). A predictive model and an online calculator were developed to assess MSP risk. Furthermore, a need for enhanced ergonomics training was identified by 89.6% of surgeons. CONCLUSIONS: The prevalence of MSP among surgeons is a prevalent but often overlooked health concern. Implementing a risk calculator could enable tailored prevention strategies, addressing modifiable factors like ergonomics.

Narrativas vacunales y políticas de vacunación contra la poliomielitis en el contexto de la provincia de Alicante (1963-1978) / Vaccine narratives and polio vaccination policies in the context of the province of Alicante (1963-1978)

El análisis a pequeña escala es una vía de abordaje historiográfico que abrió, en su momento, nuevos caminos en la investigación. La proximidad del objeto de estudio, permite profundizar en los determinantes propios y específicos y en las realidades y prácticas, por ejemplo, de las campañas de inmunización masiva contra la poliomielitis diseñada a nivel nacional pero implementadas localmente, como en el estudio de caso que abordamos. Utilizando como modelo el ámbito sanitario provincial de Alicante, el trabajo añade datos para completar la información de proximidad sobre estas campañas y de ese modo, completar una visión de conjunto y un análisis comparado tanto en un ámbito externo como en un ámbito interno interterritorial, nacional y provincial, así como el seguimiento de las directrices dadas por los organismos nacionales e internacionales. En segundo término, dotar de significado al conjunto de actividades llevadas a cabo por diferentes actores, instituciones y medios de comunicación, implicados en el proceso de implantación, cobertura y seguimiento de las campañas de vacunación contra la polio en el ámbito provincial alicantino. El uso de narrativas de personas afectadas por la enfermedad permite añadir elementos relevantes sobre experiencias personales en el contexto de las campañas vacunales

Small-scale analysis is a path of historiographical approach that opened, at the time, new paths in research. The proximity of the study object allows us to delve into our own and specific determinants and the realities and practices of, for example, mass immunization campaigns against polio, designed at the national level but implemented locally, as in the case study that we discuss. Using as a model the provincial sanitary area of Alicante, the work adds data to complete the proximity information on these campaigns and thus, complete an overview and a comparative analysis both in an external and in an internal interterritorial, national scope and provincial level as well as the follow-up of the guidelines given by the national and international organisms. Secondly, to give meaning to the set of activities carried out by different actors, institutions and media, involved in the process of implementation, coverage and follow-up of polio vaccination campaigns in the province of Alicante. The use of narratives of people affected by the disease allows to add relevant elements about personal experiences in the context of the vaccine campaigns

Factors Associated with Increased Pain in Primary Dysmenorrhea: Analysis Using a Multivariate Ordered Logistic Regression Model.

STUDY OBJECTIVE: In the literature about primary dysmenorrhea (PD), either a pain gradient has been studied just in women with PD or pain was assessed as a binary variable (presence or absence). Accordingly, we decided to carry out a study in young women to determine possible factors associated with intense pain. DESIGN: A cross-sectional observational study. SETTING: A Spanish University in 2016. PARTICIPANTS: A total of 306 women, aged 18-30 years. INTERVENTIONS: A questionnaire was filled in by the participants to assess associated factors with dysmenorrhoea. MAIN OUTCOME MEASURES: Our outcome measure was the Andersch and Milsom scale (grade from 0 to 3). DEFINITION: grade 0 (menstruation is not painful and daily activity is unaffected), grade 1 (menstruation is painful but seldom inhibits normal activity, analgesics are seldom required, and mild pain), grade 2 (daily activity affected, analgesics required and give relief so that absence from work or school is unusual, and moderate pain), and grade 3 (activity clearly inhibited, poor effect of analgesics, vegetative symptoms and severe pain). RESULTS: Factors significantly associated with more extreme pain: a higher menstrual flow (odds ratio [OR], 2.11; P < .001), a worse quality of life (OR, 0.97; P < .001) and use of medication for PD (OR, 8.22; P < .001). CONCLUSION: We determined factors associated with extreme pain in PD in a novel way. Further studies are required to corroborate our results.