Socially assistive robots in health and social care: Acceptance and cultural factors. Results from an exploratory international online survey.

AIM: This study explored the views of an international sample of registered nurses and midwives working in health and social care concerning socially assistive robots (SARs), and the relationship between dimensions of culture and rejection of the idea that SARs had benefits in these settings. METHODS: An online survey was used to obtain rankings of (among other topics) the extent to which SARs have benefits for health and social care. It also asked for free text responses regarding any concerns about SARs. RESULTS: Most respondents were overwhelmingly positive about SARs' benefits. A small minority strongly rejected this idea, and qualitative analysis of the objections raised by them revealed three major themes: things might go wrong, depersonalization, and patient-related concerns. However, many participants who were highly accepting of the benefits of SARs expressed similar objections. Cultural dimensions of long-term orientation and uncertainty avoidance feature prominently in technology acceptance research. Therefore, the relationship between the proportion of respondents from each country who felt that SARs had no benefits and each country's ratings on long-term orientation and uncertainty avoidance were also examined. A significant positive correlation was found for long-term orientation, but not for uncertainty avoidance. CONCLUSION: Most respondents were positive about the benefits of SARs, and similar concerns about their use were expressed both by those who strongly accepted the idea that they had benefits and those who did not. Some evidence was found to suggest that cultural factors were related to rejecting the idea that SARs had benefits.

The effect of workload on nurses' quality of life with moderating perceived social support during the COVID-19 pandemic.

BACKGROUND: Due to the COVID-19 pandemic in Iran, the number of patients admitted to hospitals and the workload of nurses has increased. High workload can reduce efficiency and quality of life. In the meantime the percived social support may had a moderating role. OBJECTIVE: The aim of the study was to investigate the effect of workload and perceived social support on quality of life in nurses who work in COVID-19 inpatient wards. METHODS: This was a cross-sectional descriptive-analytic study. 336 nurses who worked in inpatient wards with COVID-19 patients were randomly selected and studied. NASA-TLX Workload Questionnaire, WHO Quality of Life Questionnaire and Multidimensional Social Support Perception Scale were used to data collection. Structural equation modelling in PLS software was used to modelling. RESULTS: The results showed that the average score of workload, perceived social support and quality of life were 80.87±20.17, 56.23±11.46 and 55.87±13.74, respectively. A significant inverse relationship was observed between workload and quality of life (P < 0.05). Also, perceived social support had a moderator effect on relationship between workload and quality of life (P < 0.05). CONCLUSIONS: High workload can upset the balance between work and life that leads to decrease the quality of life. Perceived social support as a moderator can reduce the negative impact of workload on quality of life. In the COVID-19 pandemic where nurses' workload have increased, by increasing the perceived social support can manage the negative effect of workload.

Evaluation of vocal-electronic nursing documentation: A comparison study in Iran.

AIM: Documentation is a critical element in the function of the nursing team, and cannot be separated from high-quality, patient-centered care. The aim of this study was to compare the quality of nursing documentation in electronic and paper-based systems. METHOD: A retrospective descriptive study was designed to compare the quality of nursing documentation in electronic health records (EHR) versus paper-based documentation systems before and after the application of the electronic system. RESULTS: Analysis of data found a significant difference in the quality of nursing documentation in the two hospitals both before and after the implementation of an EHR system (p < 0.001).Quality of nursing documentation in the electronic system was significantly better than that of paper-based documentation systems. CONCLUSION: Vocal-electronic systems help to improve quality of nursing documentation, suggesting this aspect may be essential to implementing a successful system in local settings.