Showing 9 results for 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.
Robabeh Oladi Ghadikalaee, Hamid Ravaghi, Somayeh Hesam,
Volume 9, Issue 3 (9-2015)
Abstract
Background and Aim: Medication errors make up a large portion of medical errors that mostly happen in hospitals. To prevent medication errors, it is essential to reach an appropriate understanding regarding with their causes and reporting especially among nurses. The purpose of this study was to determine the reasons of medication errors and the causes of not error reporting from nurses’ viewpoints.
Materials and Methods: This is a descriptive analytical cross-sectional study conducted in year 2013. The study population were nurses working in different working shifts in special and sub-special pediatric hospitals in Tehran. A sample of 294 nurses recruited using a stratified non randomized sampling approach. The corrected Gladstone questionnaire with appropriate validity and reliability was used. The data were analyzed by descriptive (frequency, mean and standard deviation) and analytical statistics (Mann-Whitney and Kruskal-Wallis) using SPSS version 16.
Results: The most important reasons of medication errors were tiredness of nurses, wrong dose prescription by the physicians and illegible prescriptions. Fear of the nursing manager's reaction was the main obstacle to reporting medication errors in the view of 74.9% of nurses. The nurses estimated that only 42.52% of all the medicinal errors were reported.
Conclusion: Raising awareness regarding with the types and causes of medication errors and their reporting and implementing the relevant intervention to address these causes should be established in hospitals in particular in pediatrics wards.
Mohammad Zoladl, Abolfazl Dehbanizadeh, Esmat Nouhi,
Volume 12, Issue 2 (7-2018)
Abstract
Background and Aim: Providing safe healthcare services by medical groups, especially nurses, is a legal and human duty. Planning to prevent errors is of great importance, and the first step in this regard is to identify different types of errors and methods of error management. For this purpose, this study was conducted to examine the procedural and function errors of nurses working in Yasuj Shahid Beheshti Hospital.
Material and Methods: This study is a descriptive, cross-sectional research. The sampling method was complete enumeration and the target population included all nurses working at Yasuj Shahid Beheshti Hospital. The data collection tool was a researcher-made questionnaire. The validity and reliability (0.81) of the questionnaire were confirmed. The data were analyzed using SPSS software version 19.
Results: According to the findings of this study, 79.5% of nurses have procedural error. The most frequent error was the one made in the use of medical equipment in the ward (203 cases). Among the methods of error management, reporting and consulting with colleagues had the highest frequency (151 cases) and reporting to the patient had the lowest (8 cases).
Conclusion: The results showed that procedural and function errors by nurses were high and that nursing managers should organize training courses to identify and deal with nursing errors.
Mahdi Shahraki, Simin Ghaderi,
Volume 14, Issue 4 (10-2020)
Abstract
Background & Aim: Physicians as human capital and resources are one of the main components of health production. The imbalance of physician supply and demand affects the health and economics. Therefore, this study aimed to estimate and forecast the supply and demand of physician working in Iranian medical universities.
Materials and Methods: This a descriptive-analytical and applied study was conducted at national level for Iran during 1991-2017. The statistical population was physicians working in Iranian medical universities. ARIMA method was used to estimate and forecast physician supply and Vector Error Correction Models was used for physician demand. The data is annual time series that was extracted from the statistical yearbooks of the Statistical Center of Iran and the World Bank database. Eviews 10 software was used to estimate the models.
Results: The results showed that physician demand in Iran was affected by Gross Domestic Product, age structure and hospital beds, and according to the forecast of supply and demand of physicians, we will be faced to the physician shortage in the years 2018-2030.
Conclusion: In the coming years, Iran is facing with physician shortage. Therefore, it is recommended to adopt policies to increase physician capacity in medical universities and to increase strong incentives to retain physicians and prevent their migration.
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.
Mohamad Hoseini Kasnavieh, Mahsa Mahmoudinejad, Mohammad Veisy, Pouya Hedayati Shahidani, Ali Tahmasebi,
Volume 16, Issue 5 (12-2022)
Abstract
Background and Aim: this study aims investigating the effect of the physician's presence on the error of recording surgical codes by surgical assistants and the resulting financial effects in Rasoul Akram hospital.
Materials and Methods: The present study was a descriptive-analytical and prospective study that was performed by collecting data in the hospital and reviewing the documents from Jun to March 2022. Therefore, in order to compare the deductions according to the presence or absence of the doctor, an expert was stationed in the operating room to enter the information in special forms, and thus the types of deductions for each of the mentioned situations were identified. T-test was used for analysis between the two groups (presence and absence of physician) and data were analyzed using Excel and SPSS software.
Results: Three hundred and one records were reviewed during the presence of the physician and 300 cases during the absence of the physician based on Cochran sampling formula. The percent difference between hidden deductions in the presence and absence of the physician was not significant (P-value=0.078). However, the difference between the obvious deductions in the presence and absence of the physicians was significant (P-value=0.024). The difference in obvious deduction costs was significant in the presence or absence of a physician (P-value<0.001). But, the difference in hidden fraction costs in the presence or absence of physicians, was not significant (P-value=0.435).
Conclusion: The presence or absence of a surgeon has an effect on the amount of errors in the registration of surgical codes by the surgeon’s assistant and, as a result, this matter affects the percentage and costs of surgical deductions, especially in the obvious deductions. Therefore, planning for the presence of the surgeon in cases where the error of registering the codes by the surgeon’s assistant leads to obvious deductions, can help to more accurate documentation and, as a result, fewer deductions are accrued.
Setareh Talayeh, Farzad Firouzi Jahantigh, Fatemeh Bahman,
Volume 17, Issue 5 (12-2023)
Abstract
Background and Aim: The tourism industry plays a very important role in the economic cycle of society. Medical tourism, as one of the types of tourism industries, has a direct result in globalizing health care. Therefore, by strengthening the supply chain in this area, a very high added value can be achieved. For this reason, the present study provides a conceptual framework for predicting the demand for medical tourism supply chain by determining the relationship between medical tourism demand and economic, medical, and welfare-service components of Zahedan city.
Materials and Methods: The present study is a descriptive-analytical and applied research. Data were collected using a questionnaire and field and library methods. The statistical population of interest was specialist doctors in Zahedan city, and 97 people were selected using simple random sampling with Morgan’s table. The validity of the questionnaire was confirmed by experts and its reliability was obtained using Cronbach’s alpha coefficient with SPSS software more than 0.7. Data analysis was performed using the tangent sigmoid neural network algorithm, linear regression criteria, and mean square error. For this purpose, SPSS software was used to examine the correlation between the data, and MATLAB software was used to design the neural network.
Results: There was anerrore in The basis for the optimality of the answers, linear regression criteria and mean square error. The results showed that the values related to regression, education, and health were more than 0.8 and were 0.9033, 0.8818, and 0.9985, respectively. The highest priorities of the respondents related to medical equipment, education, and health were 0.5657, 0.5558, and 0.20726, respectively.
Conclusion: According to the results obtained from the proposed model, the neural network has a high accuracy in predicting the demand for medical tourism supply chain in terms of education, health, and welfare. It is also predicted that the demand for medical tourism has been constant during the one-year period of research and it is expected that medical tourism in Zahedan city will decrease in future. Therefore, it is recommended that officials pay attention to the development and improvement of medical tourism to promote it.
Marziyeh Najafi, Roya Rajaee, Hojjat Rahmani, Behrooz Pouragha, Nazanin Sheikh Mohammadi, Ghasem Rajabi Vasokolaei,
Volume 18, Issue 1 (3-2024)
Abstract
Background and Aim: Patient falls are common in hospitals, leading to financial loss and potential harm to patients, staff, and the organization. They can often be prevented with proper planning. This study aims to identify strategies to prevent patient falls and provide evidence to develop safety initiatives.
Materials and Methods: Our review used the Arksey and O’Malley scoping review model to identify strategies for preventing patient falls. We conducted searches with relevant keywords in the PubMed and Web of Science databases until May 25, 2024. In the final stage, we consulted with 18 experts using the Delphi method to gather their opinions. The data were analyzed using the thematic analysis method.
Results: Out of the 4202 studies initially found, 19 articles were chosen. The solutions to prevent patient falls can be grouped into six general categories: planning (which includes quality improvement programs, establishment of patient safety culture, patient fall prevention guidelines and programs), physical space (involving patient room design and the location of treatment staff), equipment (such as monitoring and alarms, pressure sensors, and standard beds), human resources (including communication networks between nurses and other treatment staff, as well as factors like self-efficacy and responsiveness of nurses, and their motivation and job satisfaction), training (covering education and patient participation, training of nurses and treatment staff, and electronic training), and control of executive processes (involving evaluation of risk factors and process control). The highest level of agreement among the members was on the equipment dimension (9.76), and the lowest was on the human resources dimension (8.65).
Conclusion: Patient falls are a common safety concern in hospitals and can be prevented with proper planning. Each hospital should use a combination of prevention methods tailored to its specific conditions.
