DEVELOPMENT OF A NATIONAL CORE DATA SET FOR THE IRANIAN ICU PATIENT OUTCOME PREDICTION
Journal Title: Acta HealthMedica - Year 2017, Vol 2, Issue 1
Abstract
Introduction: To define a core data set for ICU patients outcome prediction in Iran. This core data set will lead us to design ICU outcome prediction models with the most effective parameters. Methods: A combination of literature review and expert consensus meetings were used. First, a literature review was performed by a general search in PubMed to find the most appropriate models for intensive care mortality prediction and their parameters. As the next step, in a national survey, experts from medical centers in all parts of Iran were asked to comment on a list of items retrieved from an earlier literature review study. In the next stage, a central committee of experts was installed. In four meetings the central committee discussed the newly suggested items and other parameters, which were known necessary by at least one-third of the experts. Each data item was examined separately and included/excluded by committee consensus. Results: The combination of the literature review findings and experts’ consensus resulted in a draft data set, including 26 data items. Ninety-two percent of data items in the draft data set were retrieved from the literature study, and the others were suggested by the experts. The final data set of 24 data items covers patient history and physical examination, chemistry, vital signs, oxygenations and some more specific parameters. Conclusion: This data set was defined designed to develop a nationwide prognostic model for predicting ICU mortality and patients’ length of stay. This data set opens the door for creating standardized approaches in data collection in the Iranian intensive care unit estimation of resource utility
Authors and Affiliations
A Atashi, L Ahmadian, Z Rahmatinejad, MM Miri, N Nazeri, S Eslami
Keywords
Related Articles
- EP ID EP345505
- DOI 10.19082/ah108
- Views 128
- Downloads 0
THE ROLE OF MOBILE SMARTPHONES FOR DATA COLLECTION IN DISEASE AND HEALTH OUTCOMES REGISTRIES
Introduction: Disease and health outcomes registries, one of the most important information resources in health care and clinical research, are collections of information about individuals, usually focused around a speci...
FAMILIAL COLORECTAL REGISTRY IN NORTHEAST OF IRAN
Introduction: Colorectal cancer (CRC) is the fourth cause of mortality from cancer in Iran. The incidence (age-adjusted) rate of CRC in Iran has been reported as 6 to 7.9 per 100,000 persons. Twenty percent of total CRCs...
BIO-MEDICAL AND BIO-PSYCHO-SOCIAL DISEASE MODELS ON THE MOVE TO
Socio-political and economic health care decisions are often made on the basis of disease statistics alone. However, due to the changing panorama of diseases taking place in our century, especially healthcare of chronica...
DESIGNING BIRTH DEFECTS MINIMUM DATA SET IN IRAN
Introduction: Birth defects are a known cause of mortality in infancy and the subsequent period. In fact, birth defects are structural changes that can affect almost every part of a child’s appearance or function, or bot...
DYSLIPIDEMIA IN TYPE 2 DIABETES MELLITUSDYSLIPIDEMIA IN TYPE 2 DIABETES MELLITUS
Background: Dyslipidemia is one of the major risk factors for cardiovascular disease in diabetes mellitus. The characteristic features of diabetic dyslipidemia are a high plasma triglyceride concentration, low HDL choles...