Implementation of a flexible visiting policy in intensive care unit: A randomized clinical trial.

BACKGROUND: Visitation is one of the most critical needs of patients in intensive care units (ICUs). Clinicians should enable a more flexible visitation policy to prevent the adverse effects of a restricted approach. AIM AND OBJECTIVES: This study aimed at investigating the relationship between increasing visitation time and patients' physiological parameters in intensive units. Additionally, nurses' beliefs and attitudes towards visiting is examined in this research. DESIGN: Parallel randomized clinical trial. METHODS: This study was conducted in four general medical ICUs in Iran. In total, 60 patients and 57 nurses participated in this study. The patients' physiological parameters were measured at particular times in both groups. Moreover, the nurses responded to the questionnaire on beliefs and attitudes towards visitation in intensive units before and after the intervention. RESULTS: Among all the physiological parameters, systolic and diastolic blood pressure and heart rate had a significant decrease within the normal range 10 and 30 minutes after visiting in the intervention group (P < .05), and nurses' beliefs and attitudes score were at the middle of the survey scoring range (0-120). However, no significant difference was found between nurses' belief and attitude score and intervention in any groups (P > .05). CONCLUSION: The findings indicate that increasing visitation times can lead to a positive effect on the stability and balance of patients' physiological parameters. RELEVANCE TO CLINICAL PRACTICE: A more flexible visiting policy can provide a therapeutic environment where not only patients' physiological disorders are minimised as much as possible but also a higher level of patients' health and satisfaction are reached.

An intelligent algorithm for assessing patient safety culture and adverse events voluntary reporting using PCA and ANFIS.

BACKGROUND: Patient safety culture (PSC) as a main component of the organizational culture plays a key role in providing safe, effective and economic cares and services in healthcare organizations. PSC provides a way to assist hospitals in order to improve patient safety and prevent medical errors. OBJECTIVE: The present study aimed to measure PSC and healthcare professionals' attitude towards voluntary reporting of adverse events in two hospitals in Iran and to develop a hybrid intelligent approach for modeling PSC grades. METHODS: The Hospital Survey on Patient Safety Culture (HSOPSC) questionnaire and a two-part questionnaire were used for examining the PSC and healthcare professionals' attitude towards voluntary reporting of adverse events, respectively. Principal component analysis (PCA) was applied to extract of the main components in the HSOPSC questionnaire and to construct 12 dimensions of patient safety culture. The overall grade of patient safety culture was modeled using adaptive neuro-fuzzy inference systems (ANFIS) as a classification problem. RESULTS: Almost half of the participants have experienced a medical error and adverse events. The PSC grade was acceptable from the point of view of 55.5% and 50% of participants in hospital No.1 and hospital No.2, respectively. The overall accuracy of ANFIS in modeling overall grades of patient safety culture in both study hospitals was 0.84. Of those individuals gave an acceptable grade on patient safety culture in both study hospitals, more than 50% believed that all medical errors and near misses should be reported. CONCLUSIONS: The ANFIS algorithm was proposed for modeling and predicting of PSC for healthcare organizations. The results confirm the capability of the proposed model to predict patient safety grades in healthcare settings.