Finnish physicians’ stress related to information systems keeps increasing: a longitudinal three-wave survey study

Heponiemi, Tarja; Hyppönen, Hannele; Vehko, Tuulikki; Kujala, Sari; Aalto, Anna-Mari; Vänskä, Jukka; Elovainio, Marko

doi:10.1186/s12911-017-0545-y

Cited by 50 publications

(71 citation statements)

References 26 publications

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“…Poorly functioning, time consuming and inadequate information systems (IS) have emerged among the important stress factors in physicians’ work [ 1 – 3 ]. In addition, it seems that this stress keeps increasing [ 2 ]. In 2010 and 2014, Finnish physicians in various working sectors evaluated their electronic health record (EHR) systems very critically [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Predictors of physicians’ stress related to information systems: a nine-year follow-up survey study

Heponiemi

Hyppönen

Kujala

et al. 2018

BMC Health Serv Res

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BackgroundAmong the important stress factors for physicians nowadays are poorly functioning, time consuming and inadequate information systems. The present study examined the predictors of physicians’ stress related to information systems (SRIS) among Finnish physicians. The examined predictors were cognitive workload, staffing problems, time pressure, problems in teamwork and job satisfaction, adjusted for baseline levels of SRIS, age, gender and employment sector.MethodsThe study has a follow-up design with two survey data collection waves, one in 2006 and one in 2015, based on a random sample of Finnish physicians was used. The present study used a sample that included 1109 physicians (61.9% women; mean age in 2015 was 54.5; range 34–72) who provided data on the SRIS in both waves. The effects of a) predictor variable levels in 2006 on SRIS in 2015 and b) the change in the predictor variables from 2006 to 2015 on SRIS in 2015 were analysed with linear regression analyses.ResultsRegression analyses showed that the higher level of cognitive workload in 2006 significantly predicted higher level of SRIS in 2015 (β = 0.08). The reciprocity of this association was tested with cross-lagged structural equation model analyses which showed that the direction of the association was from cognitive workload to SRIS, not from SRIS to cognitive workload. Moreover, increases in time pressure (β = 0.16) and problems in teamwork (β = 0.10) were associated with higher levels of SRIS in 2015, whereas job satisfaction increase was associated with lower SRIS (β = − 0.06).ConclusionsAccording to our results, physicians’ cognitive workload may have long-lasting negative ramifications in regard to how stressful physicians experience their health information systems to be. Thus, organisations should pay attention to physicians workload if they wish physicians to master all the systems they need to use. It is also important to provide physicians with enough time and collegial support in their system-related problems, and in learning new systems and system updates.

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Section: Introductionmentioning

confidence: 99%

Predictors of physicians’ stress related to information systems: a nine-year follow-up survey study

Heponiemi

Hyppönen

Kujala

et al. 2018

BMC Health Serv Res

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“…Measurements of stress relying on only one item have produced valid data [3]. The questionnaire was constructed by picking relevant items on the survey done by Heponiemi et al [9], to which we added one software engineering specific item. To make sure respondents can answer quickly, we decided to include only one software specific question in the questionnaire.…”

Section: Methodology 31 Developing a Questionnairementioning

confidence: 99%

Daily questionnaire to assess self-reported well-being during a software development project

Kuutila

Mäntylä

Claes

et al. 2018

Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering

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According to authors best knowledge, this workshop paper makes two novel extensions to software engineering research. First, we create and execute a daily questionnaire monitoring the work wellbeing of software developers through a period of eight months. Second, we utilize statistical methods developed for discovering psychological dynamics to analyze this data. Our questionnaire includes elements from job satisfaction surveys and one software development specific element. The data were collected every day for a period of 8 months in a single software development project producing 526 answers from eight developers. The preliminary analysis shows the strongest correlations between hurry and interruptions. Additionally, we constructed temporal and contemporaneous network models used for discovering psychological dynamics from the questionnaire responses. In the future, we will try to establish links between the survey responses and the measures collected by conducting software repository mining and sentiment analysis.

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“…Numerous basic clinical informatics research questions remain to be satisfactorily addressed,27 including in the fields of: Cost effectiveness28 , 29Efficiency/productivity30 – 32Impact on service utilisation33Patient empowerment/outcomes34Decision support35Usability and human factors36 , 37Unintended consequences38 – 41Application of safety-critical software engineering methods 42…”

Section: Expanding Clinical Informatics Research and Education Capacimentioning

confidence: 99%

Learning health systems need to bridge the ‘two cultures’ of clinical informatics and data science

Scott

Dunscombe

Evans

et al. 2018

BMJ Health Care Inform

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BackgroundUK health research policy and plans for population health management are predicated upon transformative knowledge discovery from operational ‘Big Data’. Learning health systems require not only data, but feedback loops of knowledge into changed practice. This depends on knowledge management and application, which in turn depends upon effective system design and implementation. Biomedical informatics is the interdisciplinary field at the intersection of health science, social science and information science and technology that spans this entire scope.IssuesIn the UK, the separate worlds of health data science (bioinformatics, ‘Big Data’) and effective healthcare system design and implementation (clinical informatics, ‘Digital Health’) have operated as ‘two cultures’. Much National Health Service and social care data is of very poor quality. Substantial research funding is wasted on ‘data cleansing’ or by producing very weak evidence. There is not yet a sufficiently powerful professional community or evidence base of best practice to influence the practitioner community or the digital health industry.RecommendationThe UK needs increased clinical informatics research and education capacity and capability at much greater scale and ambition to be able to meet policy expectations, address the fundamental gaps in the discipline’s evidence base and mitigate the absence of regulation. Independent evaluation of digital health interventions should be the norm, not the exception.ConclusionsPolicy makers and research funders need to acknowledge the existing gap between the ‘two cultures’ and recognise that the full social and economic benefits of digital health and data science can only be realised by accepting the interdisciplinary nature of biomedical informatics and supporting a significant expansion of clinical informatics capacity and capability.

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Finnish physicians’ stress related to information systems keeps increasing: a longitudinal three-wave survey study

Cited by 50 publications

References 26 publications

Predictors of physicians’ stress related to information systems: a nine-year follow-up survey study

Predictors of physicians’ stress related to information systems: a nine-year follow-up survey study

Daily questionnaire to assess self-reported well-being during a software development project

Learning health systems need to bridge the ‘two cultures’ of clinical informatics and data science

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