It is widely believed that patients are more frequently admitted to hospital in bad weather.
We evaluated all 15,060 emergency admissions to the Medical Department of Rogaland Central Hospital during a 17-month period and compared this material with meteorological data.
We found no correlation between the number of admissions and "good weather" (as defined by the amount of cloud cover), but we found a significant difference of about two more patients (6.6%) being admitted on days with rain and snow. There was no correlation between the amount of precipitation and the number of admitted patients, but a small, significant inverse relation between temperature and admissions. We have also demonstrated a considerable difference in the number of admissions on the different weekdays, with the highest number on Mondays and the lowest on Saturdays.
Both the incidence of disease and doctor availability may partially explain the influence of weather and the daily variation in emergency admissions to hospital.
Monthly trends in mortality and hospital admission rates attributed to asthma for those aged 15 to 34 for the province of Ontario were examined for the period 1979 to 1986. Graphs showing the monthly variation after the elimination of trend are presented. Time series models were constructed to evaluate the statistical significance. Asthma hospital separations peaked in the autumn and a test for seasonality was statistically significant (p less than 0.001). Although the pattern for asthma mortality was similar, the test for seasonality was not significant (p greater than 0.10).
The Danish National Hospital Register (LPR) has collected nationwide data on all somatic hospital admissions since 1977, and since 1995 data on outpatients and emergency patients have been included as well. Numerous research projects have been undertaken in the national Danish context as well as in collaboration with international teams, and the LPR is truly a valuable source of data for health sciences, especially in epidemiology, health services research and clinical research. Nearly complete registration of somatic hospital events in Denmark is combined with ideal conditions for longterm follow-up due to the existence of a national system of unique person identification in a population of relative demographic stability. Examples of studies are provided for illustration within three main areas: I: Using LPR for surveillance of the occurrence of diseases and of surgical procedures, II: Using the Register as a sampling frame for longitudinal population based and clinical research, and III: Using the Register as a data source for monitoring outcomes. Data available from the Register as well as studies of the validity of the data are mentioned, and it is described how researchers may get access to the Register. The Danish National Hospital Register is well suited to contribute to international comparative studies with relevance for evidence-based medicine.