Frustration With Technology and its Relation to Emotional Exhaustion Among Health Care Workers: Cross-sectional Observational Study.
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ABSTRACT: Background
New technology adoption is common in health care, but it may elicit frustration if end users are not sufficiently considered in their design or trained in their use. These frustrations may contribute to burnout.Objective
This study aimed to evaluate and quantify health care workers' frustration with technology and its relationship with emotional exhaustion, after controlling for measures of work-life integration that may indicate excessive job demands.Methods
This was a cross-sectional, observational study of health care workers across 31 Michigan hospitals. We used the Safety, Communication, Operational Reliability, and Engagement (SCORE) survey to measure work-life integration and emotional exhaustion among the survey respondents. We used mixed-effects hierarchical linear regression to evaluate the relationship among frustration with technology, other components of work-life integration, and emotional exhaustion, with adjustment for unit and health care worker characteristics.Results
Of 15,505 respondents, 5065 (32.7%) reported that they experienced frustration with technology on at least 3-5 days per week. Frustration with technology was associated with higher scores for the composite Emotional Exhaustion scale (r=0.35, P<.001) and each individual item on the Emotional Exhaustion scale (r=0.29-0.36, P<.001 for all). Each 10-point increase in the frustration with technology score was associated with a 1.2-point increase (95% CI 1.1-1.4) in emotional exhaustion (both measured on 100-point scales), after adjustment for other work-life integration items and unit and health care worker characteristics.Conclusions
This study found that frustration with technology and several other markers of work-life integration are independently associated with emotional exhaustion among health care workers. Frustration with technology is common but not ubiquitous among health care workers, and it is one of several work-life integration factors associated with emotional exhaustion. Minimizing frustration with health care technology may be an effective approach in reducing burnout among health care workers.
SUBMITTER: Tawfik DS
PROVIDER: S-EPMC8292941 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ImportanceExtraordinary strain from COVID-19 has negatively impacted health care worker (HCW) well-being.ObjectiveTo determine whether HCW emotional exhaustion has increased during the pandemic, for which roles, and at what point.Design, setting, and participantsThis survey study was conducted in 3 waves, with an electronic survey administered in September 2019, September 2020, and September 2021 through January 2022. Participants included hospital-based HCWs in clinical and nonclinical (eg, administrative support) roles at 76 community hospitals within 2 large health care systems in the US.ExposuresSafety, Communication, Organizational Reliability, Physician, and Employee Burnout and Engagement (SCORE) survey domains of emotional exhaustion and emotional exhaustion climate.Main outcomes and measuresThe percentage of respondents reporting emotional exhaustion (%EE) in themselves and a climate of emotional exhaustion (%EEclim) in their colleagues. Survey items were answered on a 5-point scale from 1 (strongly disagree) to 5 (strongly agree); neutral or higher scores were counted as "percent concerning" for exhaustion.ResultsElectronic surveys were returned by 37 187 (of 49 936) HCWs in 2019, 38 460 (of 45 268) in 2020, and 31 475 (of 41 224) in 2021 to 2022 for overall response rates of 74.5%, 85.0%, and 76.4%, respectively. The overall sample comprised 107 122 completed surveys. Nursing was the most frequently reported role (n = 43 918 [40.9%]). A total of 17 786 respondents (16.9%) reported less than 1 year at their facility, 59 226 (56.2%) reported 1 to 10 years, and 28 337 (26.9%) reported 11 years or more. From September 2019 to September 2021 through January 2022, overall %EE increased from 31.8% (95% CI, 30.0%-33.7%) to 40.4% (95% CI, 38.1%-42.8%), with a proportional increase in %EE of 26.9% (95% CI, 22.2%-31.8%). Physicians had a decrease in %EE from 31.8% (95% CI, 29.3%-34.5%) in 2019 to 28.3% (95% CI, 25.9%-31.0%) in 2020 but an increase during the second year of the pandemic to 37.8% (95% CI, 34.7%-41.3%). Nurses had an increase in %EE during the pandemic's first year, from 40.6% (95% CI, 38.4%-42.9%) in 2019 to 46.5% (95% CI, 44.0%-49.1%) in 2020 and increasing again during the second year of the pandemic to 49.2% (95% CI, 46.5%-51.9%). All other roles showed a similar pattern to nurses but at lower levels. Intraclass correlation coefficients revealed clustering of exhaustion within work settings across the 3 years, with coefficients of 0.15 to 0.17 for emotional exhaustion and 0.22 to 0.24 for emotional exhaustion climate, higher than the .10 coefficient typical of organizational climate (a medium effect for shared variance), suggestive of a social contagion effect of HCW exhaustion.Conclusions and relevanceThis large-scale survey study of HCWs spanning 3 years offers substantial evidence that emotional exhaustion trajectories varied by role but have increased overall and among most HCW roles since the onset of the pandemic. These results suggest that current HCW well-being resources and programs may be inadequate and even more difficult to use owing to lower workforce capacity and motivation to initiate and complete well-being interventions.
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| S-EPMC9273044 | biostudies-literature
Project description:Highlights • 4.3% of our hospital HCWs were infected with COVID 19 during the study period.• There was no significant difference between hospital and community acquisition of the infection with age, nationality, or presence of co-morbidities.• There was a significant difference between hospital and community-acquired concerning HCWs categories, gender and being at risk of exposure to COVID-19 in the hospital.• 78% of the infected HCWs had no chronic diseases and all had an uneventful recovery. Introduction Corona Virus Disease 19 (COVID-19) is a new emerging infectious disease that was first identified in China, in December 2020 which is caused by SARS-CoV-2. This study describes the characteristics healthcare workers (HCWs) who tested positive for COVID-19 in a tertiary care hospital in Oman. Method a cross-sectional descriptive analysis of COVID-19 infected HCWs. Results During the study period, 204 HCWs were tested positive for COVID-19 by rRT-PCR test with a test positivity rate of 21.2% and the percentage of infected hospital staff was 4.3%. The mean age was 36 years, 2.2% of the male staff were infected while 9.3% of the female staff got infected. Among the clinicians, 4.7% were infected and among the nurses, 4.1% were infected. 61.3% (125) of infection were community acquired followed by hospital acquisition 25.5% (52) and no source was identified in 13.2% (27). There was a significant difference between hospital acquired and community acquired COVID-19 infection between different HCWs categories (p?<?0.001), gender (p?=?0.041) and being at risk of COVID 19 exposure in the hospital (p?<?0.001). There were no significant differences in relation to nationality (p?=?0498), age (p?=?0.119) or presence of co-morbidities (p?=?0.326). 78% (n?=?160) had no chronic diseases, presented with ARI and fever 44% (n?=?90) and all had uneventful full recovery. The peak of infection acquisition was after Eid AL Fiter Festival. Conclusion HCWs are at an increased risk of COVID-19 infection at the workplace. Strengthening the infection control measures to prevent exposures from infected patients or colleagues and reduce the spread of COVID- 19 is a necessity.
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Project description:BackgroundHigher primary care physician supply is associated with lower mortality due to heart disease, cancer and stroke, but its relation to diabetes care and outcomes is unknown. We examined the association between primary care physician supply and evidence-based testing and hospital visits for people with diabetes in naturally occurring multispecialty physician networks in Ontario, Canada.MethodsWe conducted a cross-sectional analysis between Apr. 1, 2009, and Mar. 31, 2011, using linked administrative data. We included all Ontario residents over 40 years of age with a diagnosis of diabetes before Apr. 1, 2007, who were alive on Apr. 1, 2009 (N = 712 681). We tested the association between physician supply and outcomes at the network level using separate Poisson regression models for urban and nonurban physician networks. We accounted for clustering at the physician and network level and adjusted for patient characteristics.ResultsPatients in physician networks with a high supply of primary care physicians were more likely to receive the optimal number of evidence-based tests for diabetes than patients in networks with low primary care physician supply (urban relative risk [RR] 1.06, 95% confidence interval [CI] 1.04-1.07; nonurban RR 1.17, 95% CI 1.14-1.21) but were no different regarding emergency department visits (urban RR 1.05, 95% CI 0.94-1.17; nonurban RR 0.96, 95% CI 0.85-1.08) or hospital admissions for diabetes complications (urban RR 1.01, 95% CI 0.89-1.14; nonurban RR 0.91, 95% CI 0.77-1.07).InterpretationHaving more primary care physicians per capita is associated with better diabetes care but not with reduced hospital visits in this setting. Further research to understand this relation and how it varies by setting is important for resource planning.
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Project description:BackgroundWelfare technologies are often described as a solution to the increasing pressure on primary health care services. However, despite initiating welfare technology projects in the health care sector and different government incentives, research indicates that it is difficult to integrate welfare technology innovations in a complex and varying setting, such as long-term care.ObjectiveWe aim to describe the types of welfare technology and the extent to which welfare technology is provided in long-term care (ie, nursing homes and home care services); examine whether the extent of welfare technology provision differs on the basis of municipal characteristics (ie, population size, centrality, the proportion of older inhabitants, and income); and identify how local governments (ie, municipalities) describe their efforts toward integrating welfare technologies in long-term care.MethodsQuantitative and qualitative data about welfare technology from a larger cross-sectional survey about the provision of long-term care services in Norwegian municipalities were combined with registry data. Representatives of 422 Norwegian municipalities were invited to participate in the survey. Frequencies were used to describe the distribution of the types and extent of welfare technologies, whereas the Fisher exact test and Kruskal-Wallis one-way analysis of variance were used to determine the association between the extent of welfare technology and municipal characteristics. Free-form text data were analyzed using thematic analysis.ResultsA total of 277 municipalities were surveyed. Technology for safety was the most widespread type of welfare technology, whereas technology for social contact was the least prevalent. Two-thirds of the sample (183/277, 66.1%) in nursing home and (197/277, 71.1%) in home care services reported providing one or two different types of welfare technology. There was a statistically significant association between the extent of welfare technology and population size (in both nursing homes and home care services: P=.01), centrality (nursing homes: P=.01; home care services: P<.001), and municipal income (nursing homes: P=.02; home care services: P<.001). The extent of welfare technology was not associated with the proportion of older adults. The municipalities described being in a piloting phase and committing to future investment in welfare technology. Monetary resources were allocated, competency development among staff was initiated, and the municipalities were concerned about establishing collaborations within and between municipalities. Home care services seem to have a more person-centered approach in their efforts toward integrating welfare technologies, whereas nursing homes seem to have a more technology-centered approach.ConclusionsMany municipalities provide welfare technologies; however, their extent is limited and varies according to municipal characteristics. Municipal practices still seem dominated by piloting, and welfare technologies are not fully integrated into long-term care services. Innovation with welfare technology appears top-down and is influenced by national policy but also reflects creating a window of opportunity through the organization of municipal efforts toward integrating welfare technology through, for example, collaborations and committing personnel and financial resources.
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Project description:BackgroundAssistive Technology (AT) supports persons with dementia and their carers (family, friends and neighbours), yet little is known about experiences and the impact of AT on carers. We report on an exploratory survey that examined the types, uses, costs and impact of AT on carers as well as their quality of life.MethodsA cross-sectional survey using the Carers Assistive Technology Experience Questionnaire collected data from carers in the UK, who used at least one AT in the previous year and provided more than 10 h of care for a person with dementia, living at home. Carers completed the questionnaire online or on paper and information on AT, socio-demographic details, and Short-Form Health Survey (SF-12) data were collected. Descriptive and inferential statistics were used to report results and draw conclusions.ResultsData from 201 carers was analysed. Smartphones and tablet computers were the most frequently used AT. AT were used predominantly for safety, communication, and reminders. Carers usually make decisions on buying and continued use of AT. Multiple AT devices were used in the care of persons with dementia and number of AT used was associated with perceived satisfaction. Satisfaction with AT was not related to age, living arrangements and relationship of carers. From the SF-12, Mean Physical Component Score was 49.19 (95%CI- 47.75 to 50.63) and Mental Component Score was 45.37 (95%CI- 43.93 to 46.80). Women, carers in the 46-65 age group and carers who were not extremely satisfied with AT had lower MCS scores. Carers who lived with the person with dementia and older carers had lower PCS scores.ConclusionsCarers report that AT has a beneficial impact. Carers use multiple ATs, perceive AT to be satisfactory and recommend AT use to others. To support carers, we recommend establishment of centrally funded information sources and a loan store for AT. Further research on incremental addition of AT and changes to formal/paid care because of using AT should be undertaken. Practitioners, academics, manufactures and policy makers should consider the experiences of carers in research, development and use of AT to facilitate improved community living of people with dementia.
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Project description:BACKGROUND:During the first week of March, the coronavirus disease 2019 (COVID-19) outbreak reached more than 100 countries with over 100,000 cases. Health care authorities have already initiated awareness and preparedness activities worldwide. A poor understanding of the disease among health care workers (HCWs) may result in delayed treatment and result in the rapid spread of the infection. OBJECTIVE:This study aimed to investigate the knowledge and perceptions of HCWs about COVID-19. METHODS:A cross-sectional, web-based study was conducted among HCWs about COVID-19 during the first week of March 2020. A 23-item survey instrument was developed and distributed randomly to HCWs using social media; it required 5 minutes to complete. A chi-square test was used to investigate the level of association among variables, with significance set to P<.05. RESULTS:Of 529 participants, a total of 453 HCWs completed the survey (response rate: 85.6%); 51.6% (n=234) were male, 32.1% (n=147) were aged 25-34 years, and most were doctors (n=137, 30.2%) and medical students (n=134, 29.6%). Most participants (n=276, 61.0%) used social media to obtain information on COVID-19. A significant proportion of HCWs had poor knowledge of its transmission (n=276, 61.0%) and symptom onset (n=288, 63.6%) and showed positive perceptions of COVID-19. Factors such as age and profession were associated with inadequate knowledge and a poor perception of COVID-19. CONCLUSIONS:As the global threat of COVID-19 continues to emerge, it is critical to improve the knowledge and perceptions of HCWs. Educational interventions are urgently needed to reach HCWs worldwide, and further studies are warranted.
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