Evaluating a smartwatch notification system in a simulated nursing home

Association of artificial intelligence use and the retention of elderly caregivers: A cross-sectional study based on empowerment theory

AIM

The purpose of this study is to investigate how the use of artificial intelligence is associated with the retention of elderly caregivers.

BACKGROUND

The turnover of elderly caregivers is high and increasing. Elderly care institutions are beginning to use artificial intelligence to support caregivers in their work, and the use of technology is critical to staff retention. Empowerment of elderly caregivers has been neglected by managers and researchers.

METHODS

This cross-sectional study involved 511 elderly caregivers in 25 elderly institutions. Six validated standardized scales were used for data collection, and the software SPSS and SmartPLS were used for data analysis.

RESULTS

The quality of artificial intelligence has a significant positive effect on empowerment. Artificial intelligence psychological empowerment (β = .355, p < .001) and artificial intelligence structural empowerment (β = .375, p < .001) both had positive effects on retention intention, and the jointly explained variance (R² ) was 42.6%.

CONCLUSIONS

The results show that a significant relationship exists between artificial intelligence empowerment and retention intention. Elderly caregivers with more structural empowerment have higher retention intention.

IMPLICATIONS FOR NURSING MANAGEMENT

Artificial intelligence suppliers need to pay attention to the role of product quality in elderly care services, continuously improve artificial intelligence quality, and strengthen the application and routine maintenance of artificial intelligence technologies. Elderly care institution managers should pay special attention to artificial intelligence structural empowerment (such as artificial intelligence-related education and training, learning and development opportunities, and resource support).

My video game console is so cool! A coolness theory-based model for intention to use video game consoles

With the outbreak of COVID-19, the video game console market is thriving again. In this study, we attempted to explore users' intention to use video game consoles by developing a causal model mainly based on coolness theory and the technology acceptance model. To better illustrate user experience for video game consoles, we added several concepts to the causal model, including hedonic motivation, system and service quality, perceived cost, and game variety. Through examining survey-based data from 360 Koreans, we discovered that the model had a high explanatory power for users' intention to use video game consoles. The key findings were as follows: First, among the components of coolness theory, individuals' attitude toward consoles was significantly related to subcultural appeal and originality, but not to attractiveness. Second, originality positively influenced subcultural appeal significantly. Overall, this study implied that the novel coolness theory is effective for exploring user experience regarding of specific devices and services.

Capturing nurses' perception of communicative technologies in nursing facilities: Survey instrument development

BACKGROUND

Despite the common perception of the call light system as crucial for patient safety, there are usability gaps between what features staff in nursing facilities need to address an alarm quickly and how the call system is designed. A survey instrument was developed to investigate nursing home staff experiences in using call light technology.

METHODS

A survey instrument was developed and distributed to staff in two nursing facilities in Up-State, New York (N = 278). The strength and direction of relationships between pairs of variables were measured using Pearson correlation and analysis of variance to investigate the perceived effect of staff's perception of the call light system on the work system's elements, process and staff outcomes.

RESULTS

The study found correlations between the job-level workload and the noise in the unit (r = 0.272, p = .000), between job-level workload and the ease of locating call lights (r = 0.154, p = .023), and between job stress and burnout (r = 0.176, p = .009). Only 64% of nursing home staff believed that the call light system reflected urgent needs, with younger staff relating to this group. The staff gave the work environment a high score, which corresponds to excessive noises caused by the call light alarm, according to 74% of the staff. These associations stem from gaps caused by a lack of user feedback in the design and acquisition process, leading to usability issues that reduce performance and satisfaction over time.

CONCLUSION

The study found that the type of call light system used is associated with usability challenges that often impeded the performance of the nursing home staff's response to residents. These insights can improve the selection of a new call light system that avoids usability issues and challenges identified by end-users.

Use of Notification and Communication Technology (Call Light Systems) in Nursing Homes: Observational Study

BACKGROUND

The call light system is one of the major communication technologies that link nursing home staff to the needs of residents. By providing residents the ability to request assistance, the system becomes an indispensable resource for patient-focused health care. However, little is known about how call light systems are being used in nursing homes and how the system contributes to safety and quality of care for seniors.

OBJECTIVE

This study aimed to understand the experiences of nursing home staff who use call light systems and to uncover usability issues and challenges associated with the implemented systems.

METHODS

A mix of 150 hours of hypothetico-deductive (unstructured) task analysis and 90 hours of standard procedure (structured) task analysis was conducted in 4 different nursing homes. The data collected included insights into the nursing home's work system and the process of locating and responding to call lights.

RESULTS

The data showed that the highest alarm rate is before and after mealtimes. The staff exceeded the administration's expectations of time to respond 50% of the time. In addition, the staff canceled 10.0% (20/201) of call lights and did not immediately assist residents because of high workload. Furthermore, the staff forgot to come back to assist residents over 3% of the time. Usability issues such as broken parts, lack of feedback, lack of prioritization, and low or no discriminability also contributed to the long response time. More than 8% of the time, residents notified the staff about call lights after they waited for a long time, and eventually, these residents were left unattended.

CONCLUSIONS

Nursing homes that are still using old call light systems risk the continuation of usability issues that can affect the performance of the staff and contribute to declining staff and resident outcomes. By incorporating feedback from nurses, nursing home management will better understand the influence that the perceptions and usability of technology have on the quality of health care for their residents. In this study, it has been observed that the call light system is perceived to be an important factor affecting the outcomes of the care process and satisfaction of both residents and staff as well as the staff's performance. It is important to recognize that communication and notification technology contributes to the challenges the staff faced during their work, making their working conditions more difficult and challenging.

Perspectives of Nursing Homes Staff on the Nature of Residents-Initiated Call Lights

Little research has been conducted to capture the perceptions of nursing home staff when using the call light system. There is also a lack of information regarding the effects that these perceptions of the call light system have on their workload, safety, quality of care, or overall satisfaction. In response to the high volume of complaints from residents and their families regarding long response times to call light alarms, we developed this exploratory cross-sectional survey study. This study aims to capture nursing home staff experiences while using a call light system; to investigate the challenges the staff face when using the system; and to determine how these challenges contribute to their workload, performance, and satisfaction. A survey instrument was developed and distributed to all 153 of the nursing staff, certified nursing assistants, and licensed practical nurses in a nursing home in upstate New York. A total of 105 completed surveys were retrieved for an overall response rate of 68.63%. Descriptive analysis, Pearson correlation, and the Kruskal-Wallis test were used to analyze the collected data. The results showed a significant correlation between the processes of being notified and locating call light alarms and workload. The staff reported many usability challenges that may contribute to longer response time such as lack of prioritization, low/no discriminability, noise, and overwrite previous alarm. In addition, 78% of the staff agreed that responding to a call light can prevent serious harm; however, 56% of the staff agreed that call light system is not meaningful; and around 78% think that call light system is disruptive in the environment and source for constant noise. The study finds that incorporating the insights provided by nursing home staff may improve the acceptance of new and existing technology, which ultimately improves the delivery of care through greater usability.