Technostress Among Health Professionals - A Multilevel Model and Group Comparisons between Settings and Professions

Health Workforce Challenges: Key Findings From the Swiss Cohort of Healthcare Professionals and Informal Caregivers (SCOHPICA)

Objectives

The Swiss Cohort of Healthcare Professionals and Informal Caregivers (SCOHPICA) was created to study the career trajectories, retention intentions, and wellbeing of healthcare professionals (HCPs), addressing challenges such as staff turnover, low job satisfaction and burnout.

Methods

SCOHPICA is a prospective open cohort. An electronic questionnaire was used to collect data from HCPs across multiple healthcare settings in Switzerland, encompassing the intention to stay in the profession, wellbeing, and various organizational, psychosocial, occupational and sociodemographic determinants.

Results

The first (2022) baseline sample included 1707 HCPs from over 20 professions. Notably, 13% did not intend to stay in their profession, with intermediate caregivers (24%), registered nurses (17%) and pharmacists (17%) reporting the highest rates. Pharmacists scored lowest in wellbeing. Across determinants, pharmacists, physicians, and registered nurses reported worse scores for workload and work-life balance. Nursing professions had lower scores in various determinants, including influence at work, staffing and resource adequacy, and possibilities for development.

Conclusion

SCOHPICA will provide critical insights on HCPs' work conditions and experiences, supporting health workforce monitoring and management, and informing policy-making to ensure high-quality healthcare delivery.

Measuring the relationship between reciprocity behaviour and technology readiness of nursing staff working in residential care and community nursing: A cross-sectional study

AIM

The aim of this study is to measure how collaborative factors are associated with the technology readiness of nursing staff working in residential care and community nursing. The Reciprocity Instrument and Technology Readiness Index 2.0 were applied to measure this association.

DESIGN

A cross-sectional survey was conducted between October 2020 and January 2021.

METHODS

The Technology Readiness Index 2.0 was translated into Dutch, administered together with the Reciprocity Instrument and linguistically validated. And 1660 Registered Nurses and Nursing Assistants received an invitation to the online survey. Descriptive statistics and regression analyses were used to analyse the data.

RESULTS

A total of 475 nursing staff responded, a response rate of 28.6%. The following factors have a statistically significant association with technology readiness: age, education level, years of working experience, type of organization, reciprocity behaviour and conditions of reciprocity behaviour: digital communication usage to reach one another, multilayeredness and future perspective.

CONCLUSION

This study shows that reciprocity behaviour is positively associated with technology readiness. The influencing factor reciprocity remains intact after the correction of the other factors that were measured. This confirms the relevance of collaborative factors that influence the technology adoption process of nursing staff working in residential care and community nursing.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

This study offers insights into how collaboration based on reciprocity behaviour positively impacts the technology readiness of nursing staff engaged in residential care and community nursing and could be used in the education of nursing staff and healthcare teams.

IMPACT

Being aware of the impact that collaborative factors have on the adoption process of ICT among nursing staff could be used to support the desired preparatory activities as part of ICT implementation for healthcare managers, innovators, and nursing work groups charged with implementing technology in the healthcare process.

REPORTING METHOD

The study has adhered to STROBE guidelines.

PATIENT OR PUBLIC CONTRIBUTION

No Patient or Public Contribution.

Indicators of technostress, their association with burnout and the moderating role of support offers among nurses in German hospitals: a cross-sectional study

OBJECTIVES

To examine the level of indicators of technostress among nurses with and without a leadership position, the relationship between indicators of technostress and burnout and the moderating role of support offered by employers. The availability of support offers and further needs of nurses were also explored.

DESIGN

Cross-sectional online survey.

SETTING

Acute care hospitals in Germany.

PARTICIPANTS

303 nurses (73.3% female) who have worked at the hospital for at least 1 year and a minimum of 10 hours per week.

PRIMARY AND SECONDARY OUTCOME MEASURES

Indicators of technostress (complexity, overload, usefulness, lack of technical support and unreliability) served as predictors in multiple linear regression analyses to examine their association with the primary outcome burnout. Support of employers was included as a moderator variable. Validated subscales from the Digital Stressors Scale and Copenhagen Burnout Inventory as well as open-ended questions were applied.

RESULTS

There were no differences in the level of indicators of technostress found between nurses with and without a leadership position. Techno-overload (β=0.259, p=0.004) and techno-complexity (β=0.161, p=0.043) were significantly associated with burnout. Support by the employer moderated the relationship between lack of technical support and burnout significantly (R² change=0.026, F(1,292)=7.41, p=0.007). Support offers such as training, IT service and contact persons on the ward helped nurses to be more confident in the use of information and communication technologies. However, they expressed further needs with regard to these and new offers.

CONCLUSIONS

There was an association between two indicators of technostress and burnout. Therefore, particular attention should be paid to supporting nurses in terms of techno-overload and techno-complexity. Furthermore, there is still a need for customised support and further offers from employers in the use of digital technologies.

Differences in Physicians' Ratings of Work Stressors and Resources Associated With Digital Transformation: Cross-Sectional Study

BACKGROUND

The emergence of the COVID-19 pandemic rapidly accelerated the need and implementation of digital innovations, especially in medicine.

OBJECTIVE

To gain a better understanding of the stress associated with digital transformation in physicians, this study aims to identify working conditions that are stress relevant for physicians and differ in dependence on digital transformation. In addition, we examined the potential role of individual characteristics (ie, age, gender, and actual implementation of a digital innovation within the last 3 years) in digitalization-associated differences in these working conditions.

METHODS

Cross-sectional web-based questionnaire data of 268 physicians (mean age 40.9, SD 12.3 y; n=150, 56% women) in Germany were analyzed. Physicians rated their chronic stress level and 11 relevant working conditions (ie, work stressors such as time pressure and work resources such as influence on sequence) both before and after either a fictional or real implementation of a relevant digital transformation at their workplace. In addition, a subsample of individuals (60; n=33, 55% women) submitted self-collected hair samples for cortisol analysis.

RESULTS

The stress relevance of the selected working conditions was confirmed by significant correlations with self-rated chronic stress and hair cortisol levels (hair F) within the sample, all of them in the expected direction (P values between .01 and <.001). Multilevel modeling revealed significant differences associated with digital transformation in the rating of 8 (73%) out of 11 working conditions. More precisely, digital transformation was associated with potentially stress-enhancing effects in 6 working conditions (ie, influence on procedures and complexity of tasks) and stress-reducing effects in 2 other working conditions (ie, perceived workload and time pressure). Younger individuals, women, and individuals whose workplaces have implemented digital innovations tended to perceive digitalization-related differences in working conditions as rather stress-reducing.

CONCLUSIONS

Our study lays the foundation for future hypothesis-based longitudinal research by identifying those working conditions that are stress relevant for physicians and prone to differ as a function of digital transformation and individual characteristics.

Turning Lemons into Lemonade: Social Support as a Moderator of the Relationship Between Technostress and Quality of Life Among University Students

Purpose

The overuse of internet-based technologies as a means of coping with the stress they generate has resulted in an alarming level of addiction, adversely impacting the quality of life and overall health of younger individuals. This social detachment, in turn, contributes to both physical and mental health deterioration. The potential remedy for this predicament lies in the application of social support as an antidote to internet addiction. In this context, our present study employs the Stress-Strain-Outcome model to explore the indirect effects of internet addiction and the moderating role of social support in relation to the influence of technostress on the quality of life of adults.

Methods

We adopted a time-lagged design to collect data from university graduates and evaluated our study hypotheses using Mplus.

Results

Our empirical findings highlight the significant influence of technostress on internet addiction, with the latter significantly mediating the relationship between technostress and quality of life. Furthermore, our results reveal that social support effectively moderates the indirect effects of technostress on quality of life through its impact on internet addiction.

Conclusion

These findings can help researchers and educators better understand the underlying mechanisms between technostress and quality of life with social support as the silver lining. This form of social support holds the potential not only to alleviate internet addiction but also to positively enhance the quality of life and overall wellbeing of individuals facing these challenges. The implications of these findings and avenues for future research are also discussed.

Associations of perceived changes in work due to digitalization and the amount of digital work with job strain among physicians: a national representative sample

BACKGROUND

Physicians' work is often stressful. The digitalization of healthcare aims to streamline work, but not all physicians have experienced its realization. We examined associations of perceived changes in work due to digitalization and the amount of digital work with job strain among physicians. The moderating role of the length of work experience was investigated for these associations.

METHODS

We used representative survey data on Finnish physicians' (N = 4271) experiences of digitalization from 2021. The independent variables included perceptions on statements about work transformations aligned with digitalization goals, and the extent that information systems and teleconsultations were utilized. Stress related to information systems (SRIS), time pressure, and psychological stress were the dependent variables. We analyzed the associations using multivariable linear and logistic regressions.

RESULTS

Respondents had a mean SRIS score of 3.5 and a mean time pressure score of 3.7 on a scale of 1-5. Psychological stress was experienced by 60%. Perceptions associated with higher SRIS comprised disagreements with statements asserting that digitalization accelerates clinical encounters (b = .23 [95% CI: .16-.30]), facilitates access to patient information (b = .15 [.07-.23]), and supports decision-making (b = .11 [.05-.18]). Disagreement with accelerated clinical encounters (b = .12 [.04-.20]), and agreements with patients' more active role in care (b = .11 [.04-.19]) and interprofessional collaboration (b = .10 [.02-.18]) were opinions associated with greater time pressure. Disagreeing with supported decision-making (OR = 1.26 [1.06-1.48]) and agreeing with patients' active role (OR = 1.19 [1.02-1.40]) were associated with greater psychological stress. However, perceiving improvements in the pace of clinical encounters and access to patient information appeared to alleviate job strain. Additionally, extensive digital work was consistently linked to higher strain. Those respondents who held teleconsultations frequently and had less than 6 years of work experience reported the greatest levels of time pressure.

CONCLUSIONS

Physicians seem to be strained by frequent teleconsultations and work that does not meet the goals of digitalization. Improving physicians' satisfaction with digitalization through training specific to the stage of career and system development can be crucial for their well-being. Schedules for digital tasks should be planned and allocated to prevent strain related to achieving the digitalization goals.

Stressors, Resources, and Strain Associated with Digitization Processes of Medical Staff Working in Neurosurgical and Vascular Surgical Hospital Wards: A Multimethod Study

The digitization of German hospitals is proceeding continuously, leading to the implementation of new digital technologies, such as electronic health records (EHRs) or other technologies, used for the purpose of medical documentation tasks. Even though the replacement of paper documentation through digitized documentation in general promises to come along with plenty of benefits, the daily utilization of technologies might also lead to stresses and strains among the medical staff, eventually possibly leading to the development of different negative work and health-related outcomes. This study, therefore, aims at identifying persisting digitization-associated stressors and resources among medical hospital staff, examining their influences on different work and health-related outcomes, and finally, identifying potential needs for preventive measures. A quantitative study in the form of an online questionnaire survey was conducted among physicians working in the medical field of neuro- and vascular surgery in German hospitals. The study was carried out between June and October 2022 utilizing an online questionnaire based on several standardized scales, such as the technology acceptance model (TAM) and the technostress model, as well as on several scales from the Copenhagen Psychosocial Questionnaire (COPSOQ). The study found medium levels of technostress among the participating physicians (n = 114), as well as low to medium levels of persisting resources. The queried physicians, on average, reported low levels of burnout symptoms, generally described their health status as good, and were mostly satisfied with their job. Despite the prevalence of technostress and the low levels of resources among the surveyed physicians, there is little awareness of the problem of digital stress, and preventive measures have not been widely implemented yet in the clinics, indicating a needs gap and the necessity for the strategic and quality-guided implementation of measures to effectively prevent digital stress from developing.

Digital Transformation in Healthcare: Technology Acceptance and Its Applications

Technological innovation has become an integral aspect of our daily life, such as wearable and information technology, virtual reality and the Internet of Things which have contributed to transforming healthcare business and operations. Patients will now have a broader range and more mindful healthcare choices and experience a new era of healthcare with a patient-centric culture. Digital transformation determines personal and institutional health care. This paper aims to analyse the changes taking place in the field of healthcare due to digital transformation. For this purpose, a systematic bibliographic review is performed, utilising Scopus, Science Direct and PubMed databases from 2008 to 2021. Our methodology is based on the approach by Wester and Watson, which classify the related articles based on a concept-centric method and an ad hoc classification system which identify the categories used to describe areas of literature. The search was made during August 2022 and identified 5847 papers, of which 321 fulfilled the inclusion criteria for further process. Finally, by removing and adding additional studies, we ended with 287 articles grouped into five themes: information technology in health, the educational impact of e-health, the acceptance of e-health, telemedicine and security issues.

Factors Influencing Teacher’s Technostress Experienced in Using Emerging Technology: A Qualitative Study

In this era of rapid technology growth, many countries have begun to adopt emerging technologies into their educational systems to improve learning outcomes. The aim of this study is to explore the factors influencing teachers’ experiences of technostress while using new technology in academic classrooms and how it might be mitigated. Prior research has not focused on how technostress develops among individuals over time or how it can be mitigated in an individual context; the intention of this study is to contribute to the technostress literature in these particular areas. To address the research gap, we conducted a qualitative study that collected data through the use of an open-ended question questionnaire. Seventy teachers of different backgrounds and locations responded to the survey. We used thematic analysis to analyze their responses and reveal how lack of school support and their professional identities influence their levels of technostress. Technology characteristics, including the complexity and the benefits of a given technology, and privacy concerns play a crucial role in teachers’ experiences of technostress. Moreover, we found that colleague support in using new technology and open educational resources each contributed to mitigating teachers’ technostress levels. Our study extends technostress research to examine a new learning environment and context. This focus allowed us to highlight the need to develop open educational resources and better social support structures for teachers and to rethink the professional identities of developing teachers to mitigate their levels of technostress. Suggestions for further research that resulted from this work include using a mixed methods research approach in future studies and including more teachers in future work to determine the relationships among the factors identified by this study.

Technostress and Digital Competence Among Health Professionals in Swiss Psychiatric Hospitals: Cross-sectional Study

BACKGROUND

Psychiatric hospitals are becoming increasingly digitized because of the disruptive rise in technical possibilities. This digitization leads to new tasks and demands for health professionals, which can have an impact on technostress. It is unclear whether digital competence reduces technostress and how technostress affects health professionals' mental and physical health.

OBJECTIVE

This study aims to assess the association between digital competence and technostress, considering individual characteristics and the association between technostress and long-term consequences for health professionals.

METHODS

Cross-sectional data from 3 Swiss psychiatric hospitals were analyzed using multiple linear regression. The dependent variables for the models were digital competence, technostress, and long-term consequences (intention to leave the organization or the profession, burnout symptoms, job satisfaction, general health status, quality of sleep, headaches, and work ability). One model was calculated for each long-term consequence. The mean scores for technostress and digital competence could range between 0 (fully disagree) and 4 (fully agree), where a high value for technostress indicated high technostress and a high value for digital competence indicated high digital competence.

RESULTS

The sample comprised 493 health professionals in psychiatric hospitals. They rated their technostress as moderate (mean 1.30, SD 0.55) and their digital competence as high (mean 2.89, SD 0.73). Digital competence was found to be significantly associated with technostress (β=-.20; P<.001). Among the individual characteristics, age (β=.004; P=.03) and profession were significantly associated with both digital competence and technostress. Technostress is a relevant predictor of burnout symptoms (β=10.32; P<.001), job satisfaction (β=-6.08; P<.001), intention to leave the profession (β=4.53; P=.002), organization (β=7.68; P<.001), general health status (β=-4.47; P<.001), quality of sleep (β=-5.87; P<.001), headaches (β=6.58; P<.001), and work ability (β=-1.40; P<.001).

CONCLUSIONS

Physicians and nurses who have more interaction with digital technologies rate their technostress higher and their digital competence lower than those in other professions. Health professionals with low interaction with digital technologies appear to overestimate their digital competence. With increasing digitization in psychiatric hospitals, an increase in the relevance of this topic is expected. Educational organizations and psychiatric hospitals should proactively promote the digital competence of health professionals to manage expected disruptive changes.