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The relationship between health IT characteristics and organizational variables among German healthcare workers.

ABSTRACT: Health information technologies (HITs) are widely employed in healthcare and are supposed to improve quality of care and patient safety. However, so far, their implementation has shown mixed results, which might be explainable by understudied psychological factors of human-HIT interaction. Therefore, the present study investigates the association between the perception of HIT characteristics and psychological and organizational variables among 445 healthcare workers via a cross-sectional online survey in Germany. The proposed hypotheses were tested using structural equation modeling. The results showed that good HIT usability was associated with lower levels of techno-overload and lower IT-related strain. In turn, experiencing techno-overload and IT-related strain was associated with lower job satisfaction. An effective error management culture at the workplace was linked to higher job satisfaction and a slightly lower frequency of self-reported medical errors. About 69% of surveyed healthcare workers reported making errors less frequently than their colleagues, suggesting a bias in either the perception or reporting of errors. In conclusion, the study's findings indicate that ensuring high perceived usability when implementing HITs is crucial to avoiding frustration among healthcare workers and keeping them satisfied. Additionally healthcare facilities should invest in error management programs since error management culture is linked to other important organizational variables.

SUBMITTER: Gaube S

PROVIDER: S-EPMC8423839 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Models of healthcare organizations (HCOs) are often defined up front by a select few administrative officials and managers. However, given the size and complexity of modern healthcare systems, this practice does not scale easily. The goal of this work is to investigate the extent to which organizational relationships can be automatically learned from utilization patterns of electronic health record (EHR) systems.We designed an online survey to solicit the perspectives of employees of a large academic medical center. We surveyed employees from two administrative areas: (1) Coding & Charge Entry and (2) Medical Information Services and two clinical areas: (3) Anesthesiology and (4) Psychiatry. To test our hypotheses we selected two administrative units that have work-related responsibilities with electronic records; however, for the clinical areas we selected two disciplines with very different patient responsibilities and whose accesses and people who accessed were similar. We provided each group of employees with questions regarding the chance of interaction between areas in the medical center in the form of association rules (e.g., Given someone from Coding & Charge Entry accessed a patient's record, what is the chance that someone from Medical Information Services access the same record?). We compared the respondent predictions with the rules learned from actual EHR utilization using linear-mixed effects regression models.The findings from our survey confirm that medical center employees can distinguish between association rules of high and non-high likelihood when their own area is involved. Moreover, they can make such distinctions between for any HCO area in this survey. It was further observed that, with respect to highly likely interactions, respondents from certain areas were significantly better than other respondents at making such distinctions and certain areas' associations were more distinguishable than others.These results illustrate that EHR utilization patterns may be consistent with the expectations of HCO employees. Our findings show that certain areas in the HCO are easier than others for employees to assess, which suggests that automated learning strategies may yield more accurate models of healthcare organizations than those based on the perspectives of a select few individuals.

Project description:BACKGROUND:Organizational justice is the first virtue in social institutions (J Manage 16:399-432, 1990). It is one of the most determinant factors for an effective utilization of human resources and an essential predictor of organizational success (J Manag Dev 28:457-477, 2009). Employees who perceive fairness are more likely happy with their job and less likely leave their organization (Int J Bus Manage 4:145-154, 2009). Perceived injustice, on the other hand, diminishes motivation of workers to accomplish their duties (Int J Bus Manage 4:145-154, 2009; J Educ Sci Univ Tabriz 2:27-34, 2009). Ethiopia has given emphasis to the expansion of health institutions and increasing the number of health professionals. Despite this, little emphasis has been given the human resource aspect of the health sector. Therefore, this study aims to investigate organizational justice perceptions and turnover intentions among healthcare workers in Amhara region. METHODS:One hundred ninety seven healthcare workers participated in the study. Data were collected through self- report questionnaire and semi-structured interview. The quantitative data were analyzed through MANOVA, multiple regression, and independent samples t-test. The qualitative data were analyzed through thematic analysis. RESULTS:The results of this study revealed that healthcare workers in the public hospitals held low perceived distributive, procedural, interpersonal and informational justice. Similarly, private hospitals healthcare workers had low perceptions on distributive and procedural justice. On the contrary, healthcare workers in private hospitals reported high perception of fairness on interpersonal and informational justice aspects. Both public and private hospital healthcare workers had high turnover intention. The result revealed significant difference in organizational justice perceptions between private and public hospital healthcare workers (F (4, 182) = 9.17; p < .05; partial η2 =. 168). Organizational justice dimensions (distributive, procedural, interpersonal and informational justice) significantly contributed an additional 9.9% variation in turnover intention (R 2 change = .099, F (4,170) = 4.86, p < .05). Distributive justice was the most important predictor of turnover intention (β = -.23, p < .05). CONCLUSION:Organizational justice perceptions of healthcare workers significantly predicted turnover intention. Hence, organizational justice should be given due emphasis in designing and implementing policies and strategies of human resource management.

Project description:ObjectiveEvent notification systems are an approach to health information exchange (HIE) that notifies end-users of patient interactions with the healthcare system through real-time automated alerts. We examined associations between organizational capabilities and perceptions of event notification system use.Materials and methodsWe surveyed representatives (n = 196) from healthcare organizations (n = 96) that subscribed to 1 of 3 Health Information Organizations' event notification services in New York City (response rate = 27%). The survey was conducted in Fall 2017 and Winter 2018. Surveys measured respondent characteristics, perceived organizational capabilities, event notification use, care coordination, and care quality. Exploratory factor analysis was used to identify relevant independent and dependent variables. We examined the relationship between organizational capabilities, care coordination, and care quality using multilevel linear regression models with random effects.ResultsRespondents indicated that the majority of their organizations provided follow-up care for emergency department visits (66%) and hospital admissions (73%). Perceptions of care coordination were an estimated 57.5% (β = 0.575; P < 0.001) higher among respondents who reported event notifications fit within their organization's existing workflows. Perceptions of care quality were 46.5% (β = 0.465; P < 0.001) higher among respondents who indicated event notifications fit within existing workflows and 23.8% (β = 0.238; P < 0.01) higher where respondents reported having supportive policies and procedures for timely response and coordination of event notifications.Discussion and conclusionHealthcare organizations with specific workflow processes and positive perceptions of fit are more likely to use event notification services to improve care coordination and care quality. In addition, event notification capacity and patient consent procedures influence how end-users perceive event notification services.

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The relationship between health IT characteristics and organizational variables among German healthcare workers.

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