Central aspects when implementing an electronic monitoring system for assessing hand hygiene in clinical settings: A grounded theory study

Background

New technologies, such as electronic monitoring systems, have been developed to promote increased adherence to hand hygiene among healthcare workers. However, challenges when implementing these technologies in clinical settings have been identified.

Aim

The aim of this study was to explore healthcare workers' experiences when implementing an electronic monitoring system to assess hand hygiene in a clinical setting.

Method

Interviews with healthcare workers (registered nurses, nurse assistants and leaders) involved in the implementation process of an electronic monitoring system (n = 17) were conducted and data were analyzed according to the grounded theory methodology formulated by Strauss and Corbin.

Results

Healthcare workers' experiences were expressed in terms of leading and facilitating, participating and contributing, and knowing and confirming. These three aspects were merged together to form the core category of collaborating for progress. Leaders were positive and committed to the implementation of the electronic monitoring system, endeavouring to enable facilitation and support for their co-workers (registered nurses and nurse assistants). At the same time, co-workers were positive about the support they received and contributed by raising questions and demands for the product to be used in clinical settings. Moreover, leaders and co-workers were aware of the objective of implementing the electronic monitoring system.

Conclusion

We identified dynamic collective work between leaders and co-workers during the implementation of the electronic monitoring system. Leadership, participation and knowledge were central aspects of enhancing a collaborative process. We strongly recommend involving both ward leaders and users of new technologies to promote successful implementation.

Is Wearable Technology Becoming Part of Us? Developing and Validating a Measurement Scale for Wearable Technology Embodiment

BACKGROUND

To experience external objects in such a way that they are perceived as an integral part of one's own body is called embodiment. Wearable technology is a category of objects, which, due to its intrinsic properties (eg, close to the body, inviting frequent interaction, and access to personal information), is likely to be embodied. This phenomenon, which is referred to in this paper as wearable technology embodiment, has led to extensive conceptual considerations in various research fields. These considerations and further possibilities with regard to quantifying wearable technology embodiment are of particular value to the mobile health (mHealth) field. For example, the ability to predict the effectiveness of mHealth interventions and knowing the extent to which people embody the technology might be crucial for improving mHealth adherence. To facilitate examining wearable technology embodiment, we developed a measurement scale for this construct.

OBJECTIVE

This study aimed to conceptualize wearable technology embodiment, create an instrument to measure it, and test the predictive validity of the scale using well-known constructs related to technology adoption. The introduced instrument has 3 dimensions and includes 9 measurement items. The items are distributed evenly between the 3 dimensions, which include body extension, cognitive extension, and self-extension.

METHODS

Data were collected through a vignette-based survey (n=182). Each respondent was given 3 different vignettes, describing a hypothetical situation using a different type of wearable technology (a smart phone, a smart wristband, or a smart watch) with the purpose of tracking daily activities. Scale dimensions and item reliability were tested for their validity and Goodness of Fit Index (GFI).

RESULTS

Convergent validity of the 3 dimensions and their reliability were established as confirmatory factor analysis factor loadings (>0.70), average variance extracted values (>0.50), and minimum item to total correlations (>0.40) exceeded established threshold values. The reliability of the dimensions was also confirmed as Cronbach alpha and composite reliability exceeded 0.70. GFI testing confirmed that the 3 dimensions function as intercorrelated first-order factors. Predictive validity testing showed that these dimensions significantly add to multiple constructs associated with predicting the adoption of new technologies (ie, trust, perceived usefulness, involvement, attitude, and continuous intention).

CONCLUSIONS

The wearable technology embodiment measurement instrument has shown promise as a tool to measure the extension of an individual's body, cognition, and self, as well as predict certain aspects of technology adoption. This 3-dimensional instrument can be applied to mixed method research and used by wearable technology developers to improve future versions through such things as fit, improved accuracy of biofeedback data, and customizable features or fashion to connect to the users' personal identity. Further research is recommended to apply this measurement instrument to multiple scenarios and technologies, and more diverse user groups.