We have previously studied system failures involved in medication errors using a limited number of root cause analyses as source. The aim of this study was to describe a larger number of medication errors with respect to harm, involved medicines and involved system problems - thus providing information for the development of IT-based decision support. We evaluated 3,520 medication error reports derived from 12 months of consecutive reporting from 13 hospitals in the Capital Region of Denmark. We found 0.65% errors with serious harm and 16% with moderate harm. A small number of medicines were involved in the majority of the errors. The problems in the medication error process were heterogeneous. Some were related to specific medicines and others were related to the computerized order entry system. Accordingly decision support targeted at specific medicines and improved IT systems are part of the continuing work to reduce the frequency of medication errors.
A prerequisite for using administrative data to study the care of critically ill patients in intensive care units (ICUs) is that it accurately identifies such care. Only limited data exist on this subject.
To assess the accuracy of administrative data in the Canadian province of Manitoba for identifying the existence, number, and timing of admissions to adult ICUs.
For the period 1999 to 2008, we compared information about ICU care from Manitoba hospital abstracts, with the criterion standard of a clinical ICU database that includes all admissions to adult ICUs in its largest city of Winnipeg. Comparisons were made before and after a national change in administrative data requirements that mandated specific data elements identifying the existence and timing of ICU care.
In both time intervals, hospital abstracts were extremely accurate in identifying the presence of ICU care, with positive predictive values exceeding 98% and negative predictive values exceeding 99%. Administrative data correctly identified the number of separate ICU admissions for 93% of ICU-containing hospitalizations; inaccuracy increased with more ICU stays per hospitalization. Hospital abstracts were highly accurate for identifying the timing of ICU care, but only for hospitalizations containing a single ICU admission.
Under current national-reporting requirements, hospital administrative data in Canada can be used to accurately identify and quantify ICU care. The high accuracy of Manitoba administrative data under the previous reporting standards, which lacked standardized coding elements specific to ICU care, may not be generalizable to other Canadian jurisdictions.
This study was designed to evaluate the accuracy of the Oncology Patient Information Systems (OPIS) database for patients with breast cancer and lymphoma. We conducted a detailed individual patient chart review of patients with lymphoma or breast cancer who were seen in consultation by an oncologist between July 1991 and June 1995. Information extracted directly from the patients' clinic charts was compared with information captured in the OPIS database with respect to demographics, staging, histological diagnosis, treatment, relapse status, date of relapse and survival. OPIS database failed to capture 14.4% and 23.4% of lymphoma and breast cancer patients seen over the four-year period. When compared to the clinic charts there were differences in staging in 31.5% and 8.1%, relapse status in 27.6% and 7.2%, and date of relapse in 56.4% and 14.7% of lymphoma and breast cancer patients respectively. The deficiencies and inaccuracies in the OPIS database emphasize the need for caution in basing administrative, policy, or practice decisions on this database.
Structure and modules of computer informational-analytical system "Electronic atlas of Russia" is presented, the object of mapping in this system is epidemiology of socially significant infectious diseases. Systemic information on processes of emergence and spread of socially significant infectious diseases (anthroponoses, zoonoses and sapronoses) in the population of Russian Federation is presented in the atlas. Detailed electronic maps of country territory filled with prognosis-analytical information created by using technological achievements of mathematic and computer modeling of epidemics and outbreaks of viral and bacterial infections are of particular interest. Atlas allows to objectively evaluate the pattern of infection spread, prepare prognoses of epidemic and outbreak developments taking into account the implementation of control measures (vaccination, prophylaxis, diagnostics and therapy) and evaluate their economic effectiveness.
Nursing home residents are prone to acute illness due to their high age, underlying illnesses and immobility. We examined the incidence of acute hospital admissions among nursing home residents versus the age-matched community dwelling population in a geographically defined area during a two years period. The hospital stays of the nursing home population are described according to diagnosis, length of stay and mortality. Similar studies have previously not been reported in Scandinavia.
The acute hospitalisations of the nursing home residents were identified through ambulance records. These were linked to hospital patient records for inclusion of demographics, diagnosis at discharge, length of stay and mortality. Incidence of hospitalisation was calculated based on patient-time at risk.
The annual hospital admission incidence was 0.62 admissions per person-year among the nursing home residents and 0.26 among the community dwellers. In the nursing home population we found that dominant diagnoses were respiratory diseases, falls-related and circulatory diseases, accounting for 55% of the cases. The median length of stay was 3 days (interquartile range = 4). The in-hospital mortality rate was 16% and 30 day mortality after discharge 30%.
Acute hospital admission rate among nursing home residents was high in this Scandinavian setting. The pattern of diagnoses causing the admissions appears to be consistent with previous research. The in-hospital and 30 day mortality rates are high.
The objects of the present study were to perform an epidemiological study of acute myocardial infarction in Stockholm County and to investigate and develop the methods by which the medical information system in Stockholm can be used as an epidemiological tool. The possible sources of error were enumerated and their importance assessed. It is concluded that the available routinely collected computer data are useful for estimation of incidence, mortality, and case fatality. Incidence, and case fatality rates are shown to be similar to results from other Swedish studies.
The article substantiate the necessity to improve the automatization of the information process in the system of medical support in extreme situations and thus to liquidate the disproportion between the medico-diagnostical and information accumulation storage facilities. These facts clearly define the importance of work which is being carried out by Medical Service towards an elaboration of the "Disaster Medicine" automated information retrieval system (AIRS). The data obtained as a result of AIRS processing could be directly used for reference or prediction purposes.