Electronic medical records and physician stress in primary care: results from the MEMO Study

Babbott, Stewart; Manwell, Linda Baier; Brown, Roger; Montague, Enid; Williams, Eric S.; Schwartz, Mark D.; Hess, Erik P.; Linzer, Mark

doi:10.1136/amiajnl-2013-001875

Cited by 320 publications

(276 citation statements)

References 22 publications

Supporting

Mentioning

260

Contrasting

Unclassified

Order By: Relevance

“…[1][2][3][4][5][6] Not only has this negatively impacted job satisfaction for residents and attending physicians, 7,8 but it also may be significantly reducing available time for patient care and negatively impacting patient outcomes. 9,10 In a 2013 poll, 92% of residents reported that clinical documentation obligations are excessive, and 73% of residents reported compromises in patient care by these requirements.…”

mentioning

confidence: 99%

Prioritizing Paperwork Over Patient Care: Why Can't We Do Both?

Siegler¹,

Patel²,

Dine³

2015

Journal of Graduate Medical Education

View full text Add to dashboard Cite

mentioning

confidence: 99%

Prioritizing Paperwork Over Patient Care: Why Can't We Do Both?

Siegler¹,

Patel²,

Dine³

2015

Journal of Graduate Medical Education

View full text Add to dashboard Cite

“…[58,59] Since they derive much satisfaction from personal communication with patients, [60] this isolating effect of the EMR has heightened professional discontent. [61,62] The authors will, in a separate report, publish qualitative data highlighting the EMR as a stressor among respondents to the PRAWS baseline survey.…”

Section: Discussionmentioning

confidence: 99%

Predictors of burnout among physicians and advanced-practice clinicians in central New York

Waddimba

Nieves

Scribani

et al. 2015

JHA

View full text Add to dashboard Cite

Background: Provider wellbeing is a barometer of the strength of healthcare systems/organizations. Burnout prevalence among physicians exceeds that among other adult workers in the United States. Rural-based practitioners might be at greater risk. Objective: We investigated predictors of burnout among group-employed providers within an integrated healthcare network. Methods: In a prospective observational study of physicians/advanced-practice clinicians serving an 8-county region of central New York, we linked administrative practice-setting data with responses to a questionnaire-survey comprising validated measures of burnout, resilience, work meaningfulness, satisfaction, risk aversion, and uncertainty/ambiguity tolerance. We included providers on the official payroll, excepting advisory board and/or research team members plus those who retired, resigned or were fired. 308 (65.1%) of 473 eligible clinicians completed the survey. 59.1% of these were physicians/doctoral-level practitioners; 40.9% advanced-practice clinicians. We assessed burnout using a validated 5-level single-item measure formatted as a binary outcome of "burned out/burning out" (levels 3-5) versus not. We derived a parsimonious generalized linear mixed-effects regression of this outcome on provider demographics, work-related needs, risk aversion, satisfaction, and unit characteristics. Results: Perceived workload, relatedness needs, practice satisfaction ≥ 75% of the time, dissatisfaction ≥ 50%, resilience, and practicing on a small unit were the significant, independent predictors. Conclusions: Heavy workloads, unmet relational needs, frequent dissatisfaction, low resilience, and serving on a small unit were most significantly associated with being "burned out/burning out". Feeling satisfied most of the time and high resilience were protective. Profession, specialty, autonomy, and support staffing were not statistically significant.

show abstract

“…The tedious manipulation of EHRs to perform tasks that take more time discourages providers and distracts them from undertaking accurate and comprehensive documentation [4]. Hospital organizations that have increased their quality ratings and have prospered financially through campaigns to educate providers in the principles of comprehensive documentation have found that they are struggling to keep providers focused on documentation after the adoption of EHRs.…”

Section: Introductionmentioning

confidence: 99%

“…Introducing physicians to complex and new electronic medical record systems significantly increased stress and burnout. Allowing physicians to be involved in the planning stages reduced this stress and burnout [4]. In addition to the chosen team of stakeholders and end users, a special question and answer panel with the medical staff was conducted to get the physicians on board with clinical documentation and EHR implementation.…”

Section: Problem Statementmentioning

confidence: 99%

Impact of Electronic Health Record Documentation and Clinical Documentation Specialists on Case Mix Index: A Retrospective Study for Quality Improvement

Stacy¹

2014

J Health Med Informat

View full text Add to dashboard Cite

Background: The implementation of hospital electronic health records software is considered a significant modernization in healthcare.Objective: The objective of this study was to evaluate the impact of electronic health records and the addition of clinical documentation specialists as a clinical support group on hospitalist documentation using case mix index (CMI) as a measurement tool. Methods:A two-group pre/postimplementation retrospective research design was used to evaluate the impact of electronic health records and clinical documentation specialists on CMI in a single 125-bed full-service community hospital in the greater Los Angeles area. All hospitalist medical records were reviewed in the pre/postphases. A total of 3,536 records were reviewed over the two phases. Phase one included a review of 1,712 hospitalist medical records before implementation of electronic health records. Phase two included a review of 1,824 hospitalist medical records after implementation of electronic health records and clinical documentation specialists. Change in CMI data were analyzed over the two phases. CMI data were treated as interval data and analyzed by parametric descriptive statistics in two phases by one-way ANOVA to compare the means between the two phases. Results:The mean CMI value for phase one was 1.65 and 1.68 for phase two. One-way ANOVA yielded no difference between the mean CMI values for the two phases (p.53). Conclusion:The implementation of electronic health records and clinical documentation specialists as a clinical support group did not make any significant difference in hospitalist documentation using CMI as a measurement tool.

show abstract

Electronic medical records and physician stress in primary care: results from the MEMO Study

Abstract: Stress may rise for physicians with a moderate number of EMR functions. Time pressure was associated with poor physician outcomes mainly in the high EMR cluster. Work redesign may address these stressors.

Cited by 320 publications

References 22 publications

Prioritizing Paperwork Over Patient Care: Why Can't We Do Both?

Prioritizing Paperwork Over Patient Care: Why Can't We Do Both?

Predictors of burnout among physicians and advanced-practice clinicians in central New York

Impact of Electronic Health Record Documentation and Clinical Documentation Specialists on Case Mix Index: A Retrospective Study for Quality Improvement

Contact Info

Product

Resources

About