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Showing 3 results for Medical Error

As Gharamaleki, A Ahmadi, F Faraji Khiavi, Sh Arpanahi Istadegi, K Jafarian,
Volume 5, Issue 1 (6-2011)
Abstract

Background and Aim: Adverse events in hospitals are found to be a major problem of all health systems in the world. In fact, drug interaction side effects are now the fourth leading cause of death in the U.S. The aim of the current study was to identify the opinions of clinicians working in Shariati and Emam hospitals towards the use of computer applications for detecting drug-food interactions.

Materials and Methods: Ninety clinicians including physicians, pharmacists and nurses were selected randomly in the current descriptive- analytical study. The opinions of clinicians toward using computer application systems for detecting drug-food interactions were assessed by a questionnaire. The questionnaire's validity and repeatability was examined in a pilot study. Cronbach's alpha was 0.85 which indicated an acceptable level of repeatability of the questionnaire. The questionnaire was distributed among the academic staffs in order to determine its validity.

Results: 95.4% of clinicians had positive attitudes towards the requirement of computer application to detect drug-food interactions. Around 94% of them showed their willingness towards using the computer application systems. Therefore, use of computer application seems to be necessary in health system.

Conclusions: The collection and analysis of data encourages further investments in computerized system to prevent drug-food interaction. Such built-in warning systems in hospitals alert doctors to drug-food interaction and improvement in patient care. Screening each patient's medication plan for drug-food interactions can reduce medical error and improve the quality of health care


Amir Ashkan Nasiripour, Pouran Raeissi, Farhad Ghaffari, Mohhamadreza Maleki, Mehrnush Jafari,
Volume 8, Issue 1 (5-2014)
Abstract

 Background and Aim: Healthcare processes have caused many dangers to patients, and the increase of medical errors is one of the most important consequences of such processes. The present research is conducted to reduce medical errors through presenting a model to control them.

 Materials and Methods: In this mixed (quantitative-qualitative) research, a conceptual model was assembled. Then using the model and an interview, a questionnaire was made. The interview and the researcher-made questionnaire were used to collect data. The statistical population included the related people and the practitioners involved in medical errors in Tehran University of medical Sciences (TUMS) hospitals. The sample consisted of 252 employees who were non-randomly selected from those hospitals. Once the affecting factors were determined, the data were analyzed through factor analysis technique. The gathered data were analyzed using descriptive and inferential statistics. Finally, the research model was presented.

 Results: The selected individuals pointed out 9 factors controlling the medical errors: culture, factors associated with patients, factors related to providers, factors associated with errors, structural factors, role of disclosure, error registration, individual factors related to reporting, and organizational factors related to reporting. The 9 factors are the subdivisions of three main factors which account for 57/46% of the total variance of data. The most decisive power is related to disclosure 0.737 and the least (0.053) pertains to structure.

 Conclusion: Discloser of medical errors and their registration are factors which are effective and essential in controlling medical errors in TUMS hospitals.

 


Sousan Rabihavy, Zhila Najafpour,
Volume 16, Issue 1 (3-2022)
Abstract

Background and Aim: Operation rooms have several specialty processes, a higher level of technology, complicated treatment protocols, and the need for skillful human recourses, which is one of the highest risk wards in the hospital. Therefore, this study was initiated to identify and evaluate potential errors by using the Failure Mode, Effects, and Criticality Analysis (FMECA) approach to recognize the potential errors in operation rooms of Golestan hospital of Ahvaz. 
Materials and Methods: This research was done with a qualitative approach in seven stages and it was based on the FMECA protocol. Data were obtained through direct observation, assessment of documents and interviews with the related staff. In this regard, surgical processes were extracted from the beginig of the surgical planning to discharge patient from the post-anesthesia care unit, after that the potential errors associated with each process were identified. Finally, the risk priority number of each of them was calculated according to the indicators of Occurrence (O), Severity (S), and Detectability (D). Score analysis was performed using descriptive statistics and SPSS software.
Results: In the present study, during the analysis of processes related to surgical care, 17 primary surgery processes and 75 sub processes (from surgical planning to discharg from the post-anesthesia care unit) were identified. Seventy failure modes were identified. Ultimately, after analyzing the failure modes in the risk matrix, among the 70 identified failure modes, two failure modes had unacceptable risk, including no proper cleaning of the operation theatre and marking the surgical site, and there was Seven other failure modes with moderate risk, including unappropraite  hand hygiene and environmental and operating room fixed equipment disinfection, central oxygen disconnection, lack of equipments in night shift, delay in delivery of prostheses to the surgical site, transfer of patient who requires intensive care to the ward, were identified. Human and organizational causes contributed the most to the occurrence of potential errors.
Conclusion: Analysis of failure modes showed that the highest probability of error occurs in the processes during surgery and due to human and organizational factors. Identification of 70 potential errors in 17 processes of the Operating Room indicates the integrity of FMECA’s preventive approach in identifying and prioritizing the high-risk areas of the processes, insensitive parts such as the operating room.


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