| Literature DB >> 31993558 |
Paul F DeChant1, Annabel Acs1, Kyu B Rhee1, Talia S Boulanger1, Jane L Snowdon1, Michael A Tutty2, Christine A Sinsky2, Kelly J Thomas Craig1.
Abstract
To assess the impact of organization-directed workplace interventions on physician burnout, including stress or job satisfaction in all settings, we conducted a systematic review of the literature published from January 1, 2007, to October 3, 2018, from multiple databases. Manual searches of grey literature and bibliographies were also performed. Of the 633 identified citations, 50 met inclusion criteria. Four unique categories of organization-directed workplace interventions were identified. Teamwork involved initiatives to incorporate scribes or medical assistants into electronic health record (EHR) processes, expand team responsibilities, and improve communication among physicians. Time studies evaluated the impact of schedule adjustments, duty hour restrictions, and time-banking initiatives. Transitions referred to workflow changes such as process improvement initiatives or policy changes within the organization. Technology related to the implementation or improvement of EHRs. Of the 50 included studies, 35 (70.0%) reported interventions that successfully improved the 3 measures of physician burnout, job satisfaction, and/or stress. The largest benefits resulted from interventions that improved processes, promoted team-based care, and incorporated the use of scribes/medical assistants to complete EHR documentation and tasks. Implementation of EHR interventions to improve clinical workflows worsened burnout, but EHR improvements had positive effects. Time interventions had mixed effects on burnout. The results of our study suggest that organization-directed workplace interventions that improve processes, optimize EHRs, reduce clerical burden by the use of scribes, and implement team-based care can lessen physician burnout. Benefits of process changes can enhance physician resiliency, augment care provided by the team, and optimize the coordination and communication of patient care and health information.Entities:
Keywords: EHR, electronic health record; MBI, Maslach Burnout Inventory; WTR, Working Time Regulations
Year: 2019 PMID: 31993558 PMCID: PMC6978590 DOI: 10.1016/j.mayocpiqo.2019.07.006
Source DB: PubMed Journal: Mayo Clin Proc Innov Qual Outcomes ISSN: 2542-4548
Study Characteristics Stratified by Intervention Typea
| Reference, year | Country | Study design | No. of participants | Population and setting | Type of intervention | Outcome | Follow-up | Level of evidence |
|---|---|---|---|---|---|---|---|---|
| Teamwork (N=20) | ||||||||
| Chapman & Blash, | United States | Cross-sectional | 886 | Primary care practices | Staff satisfaction | 4 y | 4 | |
| Contratto et al, | United States | Pre-post intervention survey | 9 | Physicians | 14-Item survey | 4 mo | 4 | |
| Contratto et al, | United States | Quasi-experimental (single-group pre-post intervention) mixed-methods | 7 | Academic general internal medicine practice | Physician satisfaction | 4 mo | 4 | |
| Danila et al, | United States | Pre-post intervention survey | 6 | Physicians (3 rheumatologists and 3 endocrinologists) | JSS | 6 wk | 4 | |
| Gidwani et al, | United States | RCT | 4 | Physicians | Physician satisfaction, measured by a 5-item instrument that included physicians’ perceptions of medical record quality and accuracy | 1 y | 1b | |
| Heaton et al, | Multinational | Systematic review | NA | NA | Physician satisfaction | NA | 4 | |
| Hung et al, | United States | Pre-post intervention survey | 680 | Physicians | MBI | 3 y | 4 | |
| Imdieke & Martel, | United States | Quasi-experimental, nonrandomized pre- and post-intervention study | 2 | Internal medicine physicians | Physician satisfaction | 4-6 wk | 4 | |
| Koshy et al, | United States | Nonrandomized, static-group comparison study | 5 | Urologists, residents | Physician acceptance and satisfaction | 10 mo | 4 | |
| Linzer et al, | United States | Cluster RCT | 166 (135 completed the study) | Primary care physicians (family and general internists) | Survey tools from MEMO and PWS | 12 mo, 18 mo | 2b | |
| Linzer et al, | United States | Cluster RCT | 165 | Primary care physicians (family and general internists) | OWL | 6 mo, 12 mo | 2b | |
| McCormick et al, | United States | Pre-post intervention survey | 6 | Urologists | Work satisfaction | 3 mo | 4 | |
| Pierce et al, | United States | Pre-post intervention survey | 55 | Physicians and advanced practice clinicians | NR | 3 y | 4 | |
| Pozdnyakova et al, | United States | Prospective, pre-post pilot study | 6 | General internal medicine faculty | Workplace satisfaction; burnout | 1 wk | 4 | |
| Quenot et al, | France | Longitudinal, monocentric, before-and-after, interventional study | 4 | Physicians | MBI | Post-intervention | 4 | |
| Shaw et al, | United States | Pre-post intervention survey | NR | Medical doctors | NR | 5 mo | 4 | |
| Shultz & Holmstrom, | Multinational | Systematic review | NA | Emergency department, urology, or cardiology clinicians | Clinician satisfaction | NA | 4 | |
| Was & Cornaby, | United States | Pre-post intervention survey | 23 | Residents | NR | Post-intervention | 4 | |
| West et al, | United States | RCT | 74 | Physicians | JSS, Empowerment at Work Scale, Medical Outcomes Study Short-Form Health Survey, MBI, Perceived Stress Scale, Jefferson Scale of Physician Empathy | 1 y | 1b | |
| Willard-Grace et al, | United States | Cross-sectional | 236 | Clinicians | MBI | NR | 4 | |
| Time (N=14) | ||||||||
| Ali et al, | United States | Cluster RCT | 45 | Physicians with various specialties | Scales derived from the National Study of the Changing Workforce | 9 mo | 1b | |
| Desai et al, | United States | Cluster-randomized trial | 80 | First-year residents | Overall well-being, MBI | 7 mo | 1b | |
| Fassiotto & Maldonado, | United States | Pre-post intervention survey | 60 | Medical school faculty | NR | Post-intervention | 4 | |
| Garland et al, | Canada | Crossover RCT | 34 | Physicians | MBI (emotional exhaustion subscale) | Post-intervention | 1b | |
| Kim & Wiedermann, | United States | Prospective cohort | 56 | Residents | NR | 7 y | 4 | |
| Landrigan et al, | United States | Prospective cohort | 220 | Residents | MBI | 1 y | 4 | |
| Lucas et al, | United States | Cluster randomized crossover noninferiority trial | 62 | Physicians | Questionnaire includes questions from MEMO study, Perceived Stress Scale, MBI, national job burnout survey | 2/4 wk | 1b | |
| Moeller & Walker, | United States | Pre-post intervention survey | NR | Physicians | NR | NR | 4 | |
| Morrow et al, | United Kingdom | Cross-sectional | 82 | Junior doctors | NA | NA | 4 | |
| Parshuram et al, | Canada | RCT | 47 | Residents | MBI | 2 mo | 2b | |
| Ripp et al, | United States | Pre-post intervention survey | 128 (2011-2012 cohort); 111 (2008-2009 cohort) | Internal medicine residents | MBI, ESS | 1 y | 4 | |
| Schuh et al, | United States | Prospective, unblinded study | 34 | Neurology residents | MBI | 1 mo | 4 | |
| Shea et al, | United States | RCT | 106 | Graduate internal medicine interns | MBI | Post-intervention | 1b | |
| Tucker et al, | Wales | Cross-sectional | 336 | Residents and interns | Questionnaire developed for study | NA | 4 | |
| Albadry et al, | Egypt | Cross-sectional | 140 | Residents and assistant lecturers | MBI | 6 mo | 4 | |
| Amis & Osicki, | United Kingdom | Pre-post intervention survey | 13 | First-year residents | Job satisfaction | 3 Weekends | 4 | |
| Callahan et al, | United States | Pre-post intervention survey | 9 | Fellows | ESS, quality of life | 6 mo | 4 | |
| Dunn et al, | United States | Noncontrolled prospective intervention study | 22-32 | Physicians | ACP/ASIM survey on physician satisfaction, MBI | 6 y | 4 | |
| Giannini et al, | Italy | Pre-post intervention survey | 71 | Doctors | MBI, STAI | 6 mo, 12 mo | 4 | |
| Hung et al, | United States | Pre-post intervention survey | 680 | Physicians | MBI | 3 y | 4 | |
| Lee et al, | United States | Pre-post intervention survey | Baseline, 18; postin-tervention, 15 | Neuroradiology fellows and neuroradiologists | 14-Question survey, Likert scale rating 1-5 | 1 mo | 4 | |
| Linzer et al, | United States | Cluster RCT | 166 (135 completed the study) | Primary care physicians (family and general internists) | Survey tools from MEMO and PWS | 12 mo, 18 mo | 2b | |
| Linzer et al, | United States | Cluster RCT | 165 | Primary care physicians (family and general internists) | OWL | 6 mo, 12 mo | 2b | |
| Agha et al, | United States | NR | 9 | Pulmonary, rheumatology, and endocrine physicians | NR | NR | 4 | |
| Babbott et al, | United States | Prospective | 422 | Internal medicine and family medicine physicians | NR | NR | 4 | |
| Beam et al, | United States | Pre-post intervention survey | 158 | Physicians | Job satisfaction | 1 y | 4 | |
| Ehrlich et al, | United States | Pre-post intervention survey | 25 | Ophthalmologists | 30-Question survey using Likert scale rating, job satisfaction | 24 mo | 4 | |
| Heyworth et al, | United States | Pre-post intervention survey | 163 | Primary care and specialty | Massachusetts eHealth Collaborative survey | Post-intervention | 4 | |
| Joseph et al, | United States | Pre-post intervention survey | NR | Physicians | NR | NR | 4 | |
| Lapointe et al, | United States | Pre-post intervention survey | 25 | Internal medicine residents | Stress | 6 mo | 4 | |
| Menachemi et al, | United States | Cross-sectional | 4203 | Primary care physicians and clinical specialists | Survey using Likert scale questions on job/practice satisfaction | NA | 4 | |
| Milenkiewicz, | United States | Pre-post intervention survey | NR | Physicians | NR | Post-intervention | 4 | |
| Wylie et al, | United States | Cross-sectional | 2365 | Primary care physicians | Likert-type scale questions regarding how EHR affected medical practice | NA | 4 | |
ACGME = Accreditation Council for Graduate Medical Education; ACP/ASIM = American College of Physicians/American Society of Internal Medicine; her = electronic health record; ESS = Epworth Sleepiness Scale; JSS = Physician Job Satisfaction Scale; ICU = intensive care unit; IT = information technology; MBI = Maslach Burnout Inventory; MEMO = Minimizing Error, Maximizing Outcome; NA = not available; NR = not reported; NYC = New York City; OWL = Office and Work Life measures; PWS = Physician Worklife Study; RCT = randomized controlled trial; STAI = State-Trait Anxiety Inventory; WTR = Working Time Regulations.
Oxford Centre for Evidence-based Medicine Levels of evidence: 1b = individual RCT (with narrow confidence interval); 2b = individual cohort study (including low-quality RCT; eg, <80% follow-up); 4 = case series (and poor-quality cohort and case control studies).
Figure 1PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram of literature search.
Figure 2Number of studies by intervention type. EHR = electronic health record.
Figure 3Proportion of interventions with a positive impact on burnout, stratified by intervention type and quality of evidence. The x-axis represents the category of intervention and the study quality; the y-axis represents the proportion of articles with a positive impact on reducing physician burnout or related measures. Each bar describes the proportion of studies with a positive impact on physician burnout that fell into the indicated level of quality and type of intervention. Levels of evidence: 1b = individual randomized controlled trial (with narrow confidence interval); 2b = individual cohort study (including low-quality randomized controlled trials; eg, less than 80% follow-up); 4 = case series (and poor-quality cohort and case-control studies).
Study Results Stratified by Outcomea
| Intervention category | Reference, year | Burnout | Satisfaction | Stress |
|---|---|---|---|---|
| Teamwork | ||||
| Team-based care | Chapman & Blash, | - | ↑* | - |
| Hung et al, | ↑+++ | ↑+ | ↑+++ | |
| Linzer et al, | ↓+ | NS | NS | |
| Linzer et al, | - | ↑+++ | ↓+++ | |
| Pierce et al, | ↓* | - | - | |
| Shaw et al, | - | NS | - | |
| Willard-Grace et al, | ↓++ | - | - | |
| Use of scribes for EHR | Contratto et al, | ↓* | - | - |
| Contratto et al, | ↓* | - | - | |
| Danila et al, | - | NS | - | |
| Gidwani et al, | - | ↑+++ | - | |
| Heaton et al, | - | ↑* | - | |
| Imdieke & Martel, | - | ↑+++ | - | |
| Koshy et al, | - | ↑+++ | - | |
| McCormick et al, | - | ↑+ | - | |
| Pozdnyakova et al, | NS | - | - | |
| Communication | Linzer et al, | NS | ↑+ | NS |
| Quenot et al, | NS | - | - | |
| Was & Cornaby, | - | ↑* | - | |
| West et al, | ↓+ | - | NS | |
| Time | ||||
| Schedule adjustments | Ali et al, | ↓++ | - | - |
| Garland et al, | ↓+ | - | - | |
| Lucas et al, | ↓+++ | - | - | |
| Moeller & Walker, | - | ↑* | - | |
| Parshuram et al, | NS | - | - | |
| Shea et al, | NS | - | - | |
| Tucker et al, | - | - | ↓++ | |
| Duty hour restrictions | Desai et al, | ↓ + to ↓ +++ | ↓ + to +++ | - |
| Kim & Wiedermann, | ↓+ | NS | - | |
| Landrigan et al, | ↓ ++ | NS | - | |
| Morrow et al, | - | - | ↑* | |
| Ripp et al, | NS | - | - | |
| Schuh et al, | ↑+ | ↓ + | - | |
| Time banking | Fassiotto & Maldonado, | - | ↑+ | - |
| Transitions | ||||
| Process improvement | Albadry et al, | ↓* | - | - |
| Amis & Osicki, | - | ↑* | - | |
| Callahan et al, | - | ↑++ | ||
| Dunn et al, | ↓++ | NS | - | |
| Giannini et al, | ↑++ | - | - | |
| Hung et al, | ↑+++ | ↑+ | ↑+++ | |
| Lee et al, | - | ↑+++ | ↓+++ | |
| Linzer et al, | ↓+ | NS | NS | |
| Linzer et al, | - | ↑+++ | ↓+++ | |
| Technology | ||||
| EHR implementation | Agha et al, | - | ↓* | - |
| Babbott et al, | NS | NS | ↑+ | |
| Beam et al, | - | ↑* | - | |
| Ehrlich et al, | - | NS | - | |
| Heyworth et al, | - | - | ↑+ | |
| Menachemi et al, | - | ↑++ | - | |
| Wylie et al, | - | ↓+ | - | |
| EHR improvement | Joseph et al, | - | ↑* | - |
| Lapointe et al, | - | ↑* | ↓* | |
| Milenkiewicz, | - | ↑* | - |
The arrows indicate the directionality of the intervention on the effect of burnout, satisfaction, and stress. Improvements are denoted by green color where the associations of the intervention on burnout or proxy measures were statistically significant. Red color indicates the intervention did not improve the burnout or proxy measure (by a nonsignificant result) or resulted in detractions whereby the outcome measure worsened with the intervention. White content with dashes indicates no data were reported. EHR = electronic health record; NS = not significant; + = P<.05; ++ = P<.01; +++ = P<.001; * = no P value reported.
Shultz and Holmstrom was not included in this table because it is a systematic review of several interventions. The relevant interventions are already included in the table under the original author names.
Burnout includes overall burnout, emotional exhaustion, depersonalization, personal accomplishment, and cynicism.
Satisfaction includes outcomes reported as satisfaction, professional fulfillment, well-being, and joy of practice.
Stress includes outcomes reported as stress, psychological strain, and job distress.