Dataset Information

Electronic medical record-related burnout in healthcare providers: a scoping review of outcomes and interventions.

ABSTRACT:

Objective

Healthcare provider (HCP) burnout is on the rise with electronic medical record (EMR) use being cited as a factor, particularly with the rise of the COVID-19 pandemic. Burnout in HCPs is associated with negative patient outcomes, and, therefore, it is crucial to understand and address each factor that affects HCP burnout. This study aims to (a) assess the relationship between EMR use and burnout and (b) explore interventions to reduce EMR-related burnout.

Methods

We searched MEDLINE (Ovid), CINAHL and SCOPUS on 29 July 2021. We selected all studies in English from any publication year and country that discussed burnout in HCPs (physicians, nurse practitioners and registered nurses) related to EMR use. Studies must have reported a quantitative relationship to be included. Studies that implemented an intervention to address this burnout were also included. All titles and abstracts were screened by two reviewers, and all full-text articles were reviewed by two reviewers. Any conflicts were addressed with a third reviewer and resolved through discussion. Quality of evidence of all included articles was assessed using the Quality Rating Scheme for Studies and Other Evidence.

Findings

The search identified 563 citations with 416 citations remaining after duplicate removal. A review of abstracts led to 59 studies available for full-text assessment, resulting in 25 studies included in the scoping review. Commonly identified associations between EMR-related burnout in HCPs included: message and alert load, time spent on EMRs, organisational support, EMR functionality and usability and general use of EMRs. Two articles employed team-based interventions to improve burnout symptoms without significant improvement in burnout scores.

Conclusions and relevance

Current literature supports an association between EMR use and provider burnout. Very limited evidence exists for burnout-reducing interventions that address factors such as time spent on EMRs, organisational support or EMR design.

SUBMITTER: Li C

PROVIDER: S-EPMC9396159 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Electronic medical record-related burnout in healthcare providers: a scoping review of outcomes and interventions.

Li Calandra C Parpia Camilla C Sriharan Abi A Keefe Daniel T DT

BMJ open 20220819 8

<h4>Objective</h4>Healthcare provider (HCP) burnout is on the rise with electronic medical record (EMR) use being cited as a factor, particularly with the rise of the COVID-19 pandemic. Burnout in HCPs is associated with negative patient outcomes, and, therefore, it is crucial to understand and address each factor that affects HCP burnout. This study aims to (a) assess the relationship between EMR use and burnout and (b) explore interventions to reduce EMR-related burnout.<h4>Methods</h4>We sear ...[more]

PMID: 35985785

Similar Datasets

Project description:BackgroundElectronic medical records (EMRs) contain large amounts of rich clinical information. Developing EMR-based case definitions, also known as EMR phenotyping, is an active area of research that has implications for epidemiology, clinical care, and health services research.ObjectiveThis review aims to describe and assess the present landscape of EMR-based case phenotyping for the Charlson conditions.MethodsA scoping review of EMR-based algorithms for defining the Charlson comorbidity index conditions was completed. This study covered articles published between January 2000 and April 2020, both inclusive. Embase (Excerpta Medica database) and MEDLINE (Medical Literature Analysis and Retrieval System Online) were searched using keywords developed in the following 3 domains: terms related to EMR, terms related to case finding, and disease-specific terms. The manuscript follows the Preferred Reporting Items for Systematic reviews and Meta-analyses extension for Scoping Reviews (PRISMA) guidelines.ResultsA total of 274 articles representing 299 algorithms were assessed and summarized. Most studies were undertaken in the United States (181/299, 60.5%), followed by the United Kingdom (42/299, 14.0%) and Canada (15/299, 5.0%). These algorithms were mostly developed either in primary care (103/299, 34.4%) or inpatient (168/299, 56.2%) settings. Diabetes, congestive heart failure, myocardial infarction, and rheumatology had the highest number of developed algorithms. Data-driven and clinical rule-based approaches have been identified. EMR-based phenotype and algorithm development reflect the data access allowed by respective health systems, and algorithms vary in their performance.ConclusionsRecognizing similarities and differences in health systems, data collection strategies, extraction, data release protocols, and existing clinical pathways is critical to algorithm development strategies. Several strategies to assist with phenotype-based case definitions have been proposed.

Project description:BackgroundThe adoption of an electronic health record (EHR) in the healthcare system has the potential to make healthcare service delivery effective and efficient by providing accurate, up-to-date, and complete information. Despite its great importance, the adoptions of EHR in low-income country settings, like Ethiopia, were lagging and increasingly failed. Assessing the readiness of stakeholders before the actual adoption of EHR is considered the prominent solution to tackle the problem. However, little is known about healthcare providers' EHR readiness in this study setting. Accordingly, this research was conducted aiming at examining healthcare providers' readiness for EHR adoption and associated factors in southwestern Ethiopia.MethodsAn institutional-based cross-sectional study was conducted from September 1 to October 30, 2021. A total of 423 healthcare providers working in public hospitals were selected using a simple random sampling technique. Multivariable logistic regression was fitted to identify determinant factors of overall healthcare providers' readiness after the other covariates were controlled.ResultIn this study, the overall good readiness level of EHR adoption was 52.8% (n = 204) [95% CI of 47.9% to 56.6%]. Age, computer literacy, computer access at health facilities, attitude towards EHRs, awareness about EHRs, perceived benefit, and perceived technology self-efficacy were significantly associated with the overall health care providers' readiness for the adoption of EHR using a cut point of P-value less than 0.05.ConclusionAround half of the respondents had a good level of overall healthcare providers' readiness for the adoption of EHR which was considered inadequate. This finding implied that a huge effort is required to improve readiness before the actual implementation of EHRs. The finding implied that younger-aged groups were more ready for such technology which in turn implied; the older one needs more concern. Enhancing computer literacy, confidence building to raise self-efficacy of such technology, addressing the issue of computer availability at health facilities, building a positive attitude, awareness campaign of EHR, and recognizing the usefulness of such systems were the necessary measures to improve EHR readiness in this setting. Additionally, further studies are recommended to encompass all types of EHR readiness such as organizational readiness, technology readiness, societal readiness, and so on. Additionally, exploring the healthcare provider opinion with qualitative study and extending the proposed study to other implementation settings are recommended to be addressed by future works.

Project description:ObjectiveOne potential barrier to optimal healthcare may be provider burnout or occupational-related stress in the workplace. The objective of this study is to conduct a systematic review to identify the predictors of burnout among US. healthcare providers.DesignSystematic review using in-depth critical appraisal to assess risk of bias and present the quality of evidence in synthesised results from the prognostic studies.Data sourcesWe searched 11 databases, registries, existing reviews and contacted experts through 4 October 2021.Eligibility criteria for selecting studiesWe included all studies evaluating potential predictors and documenting the presence and absence of associations with burnout assessed as a multidimensional construct. We excluded studies that relied solely on a single continuous subscale of burnout. Data were abstracted from eligible studies and checked for accuracy by a content expert and a methodologist.Data extraction and synthesisTwo reviewers independently screened citations and full-text publications using predetermined eligibility criteria.ResultsThe 141 identified studies evaluated a range of burnout predictors. Findings for demographic characteristics were conflicting or show no association. Workplace factors, such as workload, work/life balance, job autonomy and perceived support from leadership, had stronger associations with risk for burnout. Mental health factors, such as anxiety, and physical health risks may increase the risk, although the direction of these associations is unclear as few prospective studies exist to address this question. Factors such as social support appear to have a protective effect.ConclusionWe found the most evidence for workplace, mental health and psychosocial factors in predicting burnout but limited evidence for other potential predictors. However, more prospective studies are needed to improve our understanding about how to prevent provider burnout.Prospero registration numberCRD4202014836.

Project description:ImportanceElectronic health record (EHR) work has been associated with decreased physician well-being. Understanding the association between EHR usability and physician satisfaction and burnout, and whether team and technology strategies moderate this association, is critical to informing efforts to address EHR-associated physician burnout.ObjectivesTo measure family physician satisfaction with their EHR and EHR usability across functions and evaluate the association of EHR usability with satisfaction and burnout, as well as the moderating association of 4 team and technology EHR efficiency strategies.Design, setting, and participantsThis study uses data from a cross-sectional survey conducted from December 12, 2021, to October 17, 2022, of all family physicians seeking American Board of Family Medicine recertification in 2022.ExposurePhysicians perceived EHR usability across 6 domains, as well as adoption of 4 EHR efficiency strategies: scribes, support from other staff, templated text, and voice recognition or transcription.Main outcomes and measuresPhysician EHR satisfaction and frequency of experiencing burnout measured with a single survey item ("I feel burned out from my work"), with answers ranging from "never" to "every day."ResultsOf the 2067 physicians (1246 [60.3%] younger than 50 years; 1051 men [50.9%]; and 1729 [86.0%] practicing in an urban area) who responded to the survey, 562 (27.2%) were very satisfied and 775 (37.5%) were somewhat satisfied, while 346 (16.7%) were somewhat dissatisfied and 198 (9.6%) were very dissatisfied with their EHR. Readability of information had the highest usability, with 543 physicians (26.3%) rating it as excellent, while usefulness of alerts had the lowest usability, with 262 physicians (12.7%) rating it as excellent. In multivariable models, good or excellent usability for entering data (β = 0.09 [95% CI, 0.05-0.14]; P < .001), alignment with workflow processes (β = 0.11 [95% CI, 0.06-0.16]; P < .001), ease of finding information (β = 0.14 [95% CI, 0.09-0.19]; P < .001), and usefulness of alerts (β = 0.11 [95% CI, 0.06-0.16]; P < .001) were associated with physicians being very satisfied with their EHR. In addition, being very satisfied with the EHR was associated with reduced frequency of burnout (β = -0.64 [95% CI, -1.06 to -0.22]; P < .001). In moderation analysis, only physicians with highly usable EHRs saw improvements in satisfaction from adopting efficiency strategies.Conclusions and relevanceIn this survey study of physician EHR usability and satisfaction, approximately one-fourth of family physicians reported being very satisfied with their EHR, while another one-fourth reported being somewhat or very dissatisfied, a concerning finding amplified by the inverse association between EHR satisfaction and burnout. Electronic health record-based alerts had the lowest reported usability, suggesting EHR vendors should focus their efforts on improving alerts. Electronic health record efficiency strategies were broadly adopted, but only physicians with highly usable EHRs realized gains in EHR satisfaction from using these strategies, suggesting that EHR burden-reduction interventions are likely to have heterogenous associations across physicians with different EHRs.

Project description:BackgroundHigh utilizers (HUs) are a small group of patients who impose a disproportionately high burden on the healthcare system due to their elevated resource use. Identification of persistent HUs is pertinent as interventions have not been effective due to regression to the mean in majority of patients. This study will use cost and utilization metrics to segment a hospital-based patient population into HU groups.MethodsThe index visit for each adult patient to an Academic Medical Centre in Singapore during 2006 to 2012 was identified. Cost, length of stay (LOS) and number of specialist outpatient clinic (SOC) visits within 1 year following the index visit were extracted and aggregated. Patients were HUs if they exceeded the 90th percentile of any metric, and Non-HU otherwise. Seven different HU groups and a Non-HU group were constructed. The groups were described in terms of cost and utilization patterns, socio-demographic information, multi-morbidity scores and medical history. Logistic regression compared the groups' persistence as a HU in any group into the subsequent year, adjusting for socio-demographic information and diagnosis history.ResultsA total of 388,162 patients above the age of 21 were included in the study. Cost-LOS-SOC HUs had the highest multi-morbidity and persistence into the second year. Common conditions among Cost-LOS and Cost-LOS-SOC HUs were cardiovascular disease, acute cerebrovascular disease and pneumonia, while most LOS and LOS-SOC HUs were diagnosed with at least one mental health condition. Regression analyses revealed that HUs across all groups were more likely to persist compared to Non-HUs, with stronger relationships seen in groups with high SOC utilization. Similar trends remained after further adjustment.ConclusionHUs of healthcare services are a diverse group and can be further segmented into different subgroups based on cost and utilization patterns. Segmentation by these metrics revealed differences in socio-demographic characteristics, disease profile and persistence. Most HUs did not persist in their high utilization, and high SOC users should be prioritized for further longitudinal analyses. Segmentation will enable policy makers to better identify the diverse needs of patients, detect gaps in current care and focus their efforts in delivering care relevant and tailored to each segment.

Project description:The healthcare provider profession strongly relies on the ability to care for others' emotional experiences. To what extent burnout may relate to an actual alteration of this key professional ability has been little investigated. In an experimentally controlled setting, we investigated whether subjective experiences of global burnout or burnout depersonalization (the interpersonal component of burnout) relate to objectively measured alterations in emotion recognition and to what extent such alterations are emotion specific. Healthcare workers (n = 90) completed the Maslach Burnout Inventory and a dynamic emotion recognition task in which faces with neutral emotional expressions gradually changed to display a specific basic emotion (happiness, anger, fear, or sadness). Participants were asked to identify and then classify each displayed emotion. Before the task, a subsample of 46 participants underwent two salivary cortisol assessments. Individuals with global burnout were less accurate at recognizing others' emotional expressions of anger and fear, tending to misclassify these as happiness, compared to individuals without global burnout. Individuals with high burnout depersonalization were more accurate in recognizing happiness and less accurate in recognizing all negative emotions, with a tendency to misclassify the latter as positive ones, compared to healthcare workers with moderate/low depersonalization. Moreover, individuals with high depersonalization-but not participants with global burnout-were characterized by higher cortisol levels. These results suggest that the subjective burnout experience relates to an actual, but selective, reduction in the recognition of facial emotional expressions, characterized by a tendency to misclassify negative emotional expressions as positive ones, perhaps due to an enhanced seeking of positive social cues. This study adds to the understanding of emotional processing in burnout and paves the way for more nuanced studies on the role of altered processing of threat signals in the development and/or persistence of burnout.

Dataset Information

Electronic medical record-related burnout in healthcare providers: a scoping review of outcomes and interventions.

Objective

Methods

Findings

Conclusions and relevance

Publications

Electronic medical record-related burnout in healthcare providers: a scoping review of outcomes and interventions.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets