ArticleElectronic physician2018
Health information technology in ambulatory care in a developing country.
Article in Electronic physician, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
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
backgroundPhysicians need to apply new technologies in ambulatory care. At present, with regard to the extended use of information technology in other departments in Iran it has yet to be considerably developed by physicians and clinical technicians in the health department.
objectiveTo determine the rate of use of health information technology in the clinics of specialist- and subspecialist physicians in Semnan city, Iran.
methodsThis was a 2016 cross-sectional study conducted in physicians' offices of Semnan city in Iran. All physicians' offices in Semnan (130) were studied in this research. A researcher made and Likert-type questionnaire was designed, and consisted of two sections: the first section included demographic items and the second section consisted of four subscales (telemedicine, patient's safety, electronic patient record, and electronic communications). In order to determine the validity, the primary questionnaire was reviewed by one medical informatics- and two health information management experts from Semnan University of Medical Sciences. Utilizing the experts' suggestions, the questionnaire was rewritten and became more focused. Then the questionnaire was piloted on forty participants, randomly selected from different physicians' offices. Participants in the pilot study were excluded from the study. Cronbach's alpha was used to calculate the reliability of the instruments. Finally, SPSS version 16 was used to conduct descriptive and inferential statistics.
resultsThe minimum mean related to the physicians' use of E-mail services for the purpose of communicating with the patients, the physicians' use of computer-aided diagnostics to diagnose the patients' illnesses, and the level of the physicians' access to the electronic medical record of patients in the other treatment centers were 2.01, 3.58, and 1.43 respectively. The maximum mean score was related to the physicians' use of social networks to communicate with other physicians (3.64). The study showed that the physicians used less computerized systems in their clinic for the purpose of managing their patients' safety and there was a significant difference between the mean of the scores (p<0.001).
conclusionThe results showed that the physicians used some aspects of health information technology for the reduction of medical risks and increase of the patient's safety, by collecting the medical data of patients and the rapid and apropos recovering of them for adaptation of clinical decisions.
Indexed as
Identifiers
What 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.