ArticleJournal of medical systems2013
Evaluating the ability of hospital information systems to establish evidence-based medicine in Iran.
Article in Journal of medical systems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparison of First-Line Treatments for Patients With Extensive-Stage Small Cell Lung Cancer: A Systematic Review and Network Meta-analysis.JAMA network open · 2020Pooled it
- Obstacles facing evidence based medicine in physical medicine and rehabilitation: from opinion and knowledge to practice.Electronic physician · 2017Article
- Intelligent Diagnostic Assistant for Complicated Skin Diseases through C5's Algorithm.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evidence-based medicine (EBM) is the correct use of the best evidences in clinical decision making for patient care. Hospital Information Systems (HIS) can act as a bridge between medical data and medical knowledge through context-sensitive merging and filtering of patient data, individual clinical knowledge and external evidence. The aim of this study was to determine the ability of HISs to establish EBM in Iran. This descriptive cross-sectional study was carried out on HISs of 30 hospitals from March 2011 to October 2011. Data were collected using a researcher-constructed checklist including applicant's background information as well as information based on research objectives: clinical decision support system (CDSS), reference databases, contextual and case-specific information, clinical and administrative data repositories and Internet-based health information. Face and content validity of the checklist were assessed by the qualified specialists and then the data were analyzed using descriptive statistics and SPSS 16 software. The results of the study revealed that the HISs lacked the essential components to providing access to CDSS, reference databases and Internet-based health information in 19, 16 and 20 hospitals were 63.3 %, 53.3 % and 66.7, respectively. Twenty-two hospitals (70 %) had more than two-thirds of the essential components to access clinical and administrative data repositories; 23 hospitals (76.7 %) had at least one essential component to access contextual and case-specific information. It can be concluded that the ability of the HISs to establish EBM in providing access to the clinical and administrative data repositories is better than other research objectives. Furthermore, more attention should be paid to other related objectives.
Indexed as
Identifiers
23471740What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.