[Organizational climate in management teams and its relationship with health care outcomes]. / Clima organizacional de equipos directivos y su relación con los resultados en la atención a la salud.

OBJECTIVE: To identify the relationship between organizational climate of management teams and the performance of health services. MATERIALS AND METHODS: A transversal and analytical study was designed. The Organizational Climate Scale (OCS) was utilized and performance was assessed by the achievement indicators through correlation analysis and multiple regression. Thirty four medical benefits services headquarters (JSPM) were measured of the Mexican Social Security Institute. RESULTS: Of 862 participating, 238 (27.6%) evaluated the climate of their organizations with a high level; the maximal score was 56%. Average performance value was 0.79 ± 0.07 (minimal: 0.65; maximal: 0.92). A positive correlation was demonstrated between organizational climate level and performance (r=0.4; p=0.008). CONCLUSIONS: The organizational climate of the health services managers (JSPM) is directly related with performance in health care.

Clima organizacional de equipos directivos y su relación con los resultados en la atención a la salud / Organizational climate in management teams and its relationship with health care outcomes

Objetivo. Identificar la relación entre el clima organizacional de los equipos directivos y el desempeño de los servicios de salud. Material y métodos. Estudio transversal y analítico. Se utilizó la Escala de Clima Organizacional (EDCO). El desempeño se valoró por el logro de indicadores a través de correlación y regresión múltiple. Se evaluaron 34 jefaturas de servicios de prestaciones médicas del Instituto Mexicano del Seguro Social. Resultados. De 862 participantes, 238 (27.6%) evaluaron el clima de sus organizaciones con nivel alto. El promedio de desempeño fue 0.79±0.07 (mínimo: 0.65; máximo: 0.92). Se muestra una correlación positiva entre clima organizacional y desempeño (r=0.4; p=0.008). Conclusiones. El clima organizacional de las jefaturas de servicios de prestaciones médicas se relaciona con el desempeño en la atención a la salud.

Objective. To identify the relationship between organizational climate of management teams and the performance of health services. Materials and methods. A transversal and analytical study was designed. The Organizational Climate Scale (OCS) was utilized and performance was assessed by the achievement indicators through correlation analysis and multiple regression. Thirty four medical benefits services headquarters (JSPM) were measured of the Mexican Social Security Institute. Results. Of 862 participating, 238 (27.6%) evaluated the climate of their organizations with a high level; the maximal score was 56%. Average performance value was 0.79 ± 0.07 (minimal: 0.65; maximal: 0.92). A positive correlation was demonstrated between organizational climate level and performance (r=0.4; p=0.008). Conclusions. The organizational climate of the health services managers (JSPM) is directly related with performance in health care.

Prevalence of pre-diabetes in young Mexican adults in primary health care.

BACKGROUND: Pre-diabetes in young people is frequently unrecognized or not treated on time, with the consequent loss of opportunity for diabetes prevention. In Mexico, there is scarce information about the prevalence of pre-diabetes in young adults. OBJECTIVE: To determine the prevalence and risk factors for pre-diabetes in young Mexican adults in primary health care. METHODS: In a cross-sectional study, 288 subjects, aged 18-30 years, from a primary care unit were included. Pre-diabetes was diagnosed (according to the criteria of the American Diabetes Association) as impaired fasting glucose (8-12 hours fasting plasma glucose level: 100-125 mg/dl) or impaired glucose tolerance (140-199 mg/dl after a 2-hour oral glucose tolerance test). RESULTS: Prevalence of pre-diabetes was 14.6% [95% confidence interval (CI): 10.7-19.2], whereas that of diabetes was 2.4% (95% CI: 1.0-4.9). A high proportion of patients had history of obesity, diabetes, hypertension and consumption of tobacco and alcohol. Pre-diabetic patients were older than normoglycaemics (pre-diabetic patients: 26±4 years versus normoglycaemic subjects: 24±3 years, P = 0.003) and had higher body mass index (BMI; pre-diabetic patients: 29.4±6.8 kg/m(2) versus normoglycaemic subjects: 26.8±5.8 kg/m(2); P = 0.009), particularly in the case of men (pre-diabetic men: 29.3±7.0 kg/m(2) versus normoglycaemic men: 26.4±5.1 kg/m(2); P = 0.03). Although waist circumference showed a trend to be higher among pre-diabetics, no significant differences were found according to gender (among males: pre-diabetics: 99.5±18.8 cm versus normoglycaemics: 93.3±14.4 cm, P = 0.09; among females: pre-diabetics: 91.5±13.8 cm versus normoglycaemics: 85.8±15.9 cm, P = 0.16). Only age and BMI were significantly associated with the presence of pre-diabetes. CONCLUSIONS: Almost 15% of these young adults had pre-diabetes. Many modifiable and non-modifiable risk factors were present in these patients, but only age and a higher BMI were independent variables significantly associated with pre-diabetes. Timely interventions in primary health care are needed to prevent or delay the progression to diabetes.