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To determine risk factors associated to Burnout Syndrome in medical gynecologist staff who works at the Gynecology-pediatrics with Family Medicine Hospital number 31 of the IMSS at Mexicali city, Baja California.A cross sectional study was performed in 27 gynecologists (100% of the total gynecologist that works at that particular hospital). A validated survey instrument developed by Maslach was applied to them in order to identify the presence of the syndrome and a general questionnaire including sociodemographic information was also applied to the doctors. The statistical analysis was both descriptive and inferential including chi square, Student t and logistic regression.74.1% of the doctors who showed signs of Burnout Syndrome were males and 25.9% were females. The average doctors age of the group who developed Burnout was 44.81 +/- 6.11 years. The mean time in years of work for the doctors with the syndrome was 15.56 +/- 7.11 years. Only one doctor was divorced and she presented Burnout Syndrome, on the other hand, 62.5% of the married doctors showed evidence of Burnout Syndrome (p0.05). The general prevalence was 59.2%. Of those who showed signs of burnout, 87.5% presented it in low degree, 6.2% presented moderate degree, 6.2% presented high burnout degree. Out of all the organizational factors type, none resulted significative.The prevalence of the reported syndrome is apparently high when compared to the medical anesthesiology staff of the same hospital; however this difference is not statistically significative. In the unvaried and multivariate analyses, no organizational factor shows significance as a potential risk. It is necessary to consider psychological support to the affected doctors and to value the organization of the service, looking for an administrative reengineering.

To determine the prevalence of burnout syndrome in nursing staff in 2 different second level hospitals in the city of Mexicali, Baja California, Mexico.A cross-sectional study was conducted in all nursing staff (n = 698) in 2 second level hospitals (the Gynecology, Pediatrics and Family Medicine Hospital No. 31 and the General Specialist Hospital No. 30 in Mexicali). A stratified random sample was obtained from the 698 nurses, with a sample size of 184 nurses from each hospital. The Maslach Burn-out Inventory and a general questionnaire on demographic factors were used. Statistical analysis consisted of descriptive statistics and analysis of proportions using the chi-squared test.A total of 368 nurses were studied, of whom 345 (93.75%) were women. The mean age was 41.21 SD (standard deviation) = 6.59 years. The mean length of service was 15.87 (SD = 6.12) years. In both hospitals, the prevalence of burnout syndrome was 6.79% (25).Previous publications on burn-out have included studies performed in Mexico and in nurses in the emergency department of a tertiary hospital in Barcelona, as well as in other health care professionals. In comparison with these studies, the prevalence of burn-out observed in the present study was significantly lower.

To determine the prevalence of Burnout syndrome among anesthesiologists in Mexicali, Mexico.We carried out a descriptive, cross-sectional study. Burnout syndrome was measured using the Maslach Burnout Inventory-Human Services Survey (MBI-HSS). We administered the inventory to 92 anesthesiologists between October 2001 and February 2002. Statistical analysis included Chi square tests for categorical variables.89 questionnaires were returned, 22 females and 67 males. Burnout prevalence was 44% divided as follows: 17% reported high emotional exhaustion, 12.3% reported symptoms compatible with depersonalization, and 10% experienced a sense of low personal accomplishment.Our study differs slightly from the literature, although this may be attributed to the medical specialty we chose to survey. We suggest similar studies be carried out in other cities in Mexico to be able to have comparison groups.

In a blind, placebo-controlled trial, a homoeopathic dynamized dilution of Sulphur 201c was given orally to pregnant sows every 10 days. No significant difference was detected between the birth weight of litters (39 piglets) of treated sows and control litters (40 piglets). On day 30 statistically significant differences were observed both in the final weight of litters, mean total and daily weight gain.