Identifying potential predictors of a safe attending physician workload: a survey of hospitalists

The Inpatient Experience of Emerging Adults: Transitioning From Pediatric to Adult Care

The pediatric-to-adult care transition has been correlated with worse outcomes, including increased mortality. Emerging adults transitioning from child-specific healthcare facilities to adult hospitals encounter marked differences in environment, culture, and processes of care. Accordingly, emerging adults may experience care differently than other hospitalized adults. We performed a retrospective cohort study of patients admitted to a large urban safety net hospital and compared all domains of patient experience between patients in 3 cohorts: ages 18 to 21, 22 to 25, and 26 years and older. We found that patient experience for emerging adults aged 18 to 21, and, to a lesser extent, aged 22 to 25, was significantly and substantially worse as compared to adults aged 26 and older. The domains of worsened experience were widespread and profound, with a 38-percentile difference in overall experience between emerging adults and established adults. While emerging adults experienced care worse in nearly all domains measured, the greatest differences were found in those pertinent to relationships between patients and care providers, suggesting a substantial deficit in our understanding of the preferences and values of emerging adults.

Associations between hospitalist physician workload, length of stay, and return to the hospital

BACKGROUND

Hospitalist physicians' workload-the total number of patients they care for daily-is rising in the U.S. Hospitalists report that increased workload negatively affects patients care.

OBJECTIVE

Measure the associations between hospitalist physicians' workload and clinical outcomes.

DESIGN, SETTINGS, AND PARTICIPANTS

Observational study, using electronic health record (EHR) data, of adults hospitalized on the hospitalist service at Yale-New Haven Hospital from 2015-2018.

MAIN OUTCOME AND MEASURES

We defined hospitalists' workload as the number of patients they cared for on the first full hospital day of a given patient's encounter. We used multilevel Poisson and logistic regression to examine associations between workload and length of stay (LOS), return to the Emergency Department (ED), and readmission. We adjusted for sociodemographic factors, patient complexity and severity of illness, and weekend admission (for LOS) or discharge (for ED visits or readmission).

RESULTS

We analyzed 38,141 hospitalizations. Median patient age was 64 years (IQR 51-78 years), 53% were female, and 34% were nonwhite. Mean workload was 15 patients (SD 3 patients; range 10-34 patients). LOS was prolonged by 0.05 days (95% CI 0.02, 0.08; p(0.001) when comparing the 75th workload percentile (16 patients) to the 25th workload percentile (13 patients). There were no associations between workload and ED visits or readmission within 7 and 30 days.

CONCLUSIONS

There was a statistically significant but modest relationship between workload and LOS; workload was not associated with ED visits or readmissions.Given clinical reports of the deleterious effects of increased hospitalist workload, there is a need for prospective research assessing a range of outcomes, beyond those measurable in contemporary EHR data.

Developing an Integrated Evaluation Model for Physician Comprehensive Workload Tethered to Outpatient Practice: An Empirical Study From China

Background

Previous studies, often simply using either objective workload or mental workload as a measure of physician workload in various healthcare settings might have failed to comprehensively reflect the real workload among physicians. Despite this, there is little research that further explores a comprehensive workload evaluation framework with the integration of objective workload and mental workload to describe their comprehensive workload.

Methods

A comprehensive evaluation framework for physician workload was proposed based on the combination of objective workload and task-level mental workload also with the consideration of quality of provided medical services and served patient complexity; and accordingly, an integrated evaluation model for physician comprehensive workload (PCW) tethered to outpatient practice was developed and further applied to perform a PCW analysis using cross-sectional data on outpatient workload of 1,934 physicians mainly from 24 hospitals in 6 provinces in Eastern, Central, and Western China. Multiple linear regression and multinomial logistic regression analyses were established to identify significant factors influencing the PCW.

Results

Overall, the average score of PCW tethered to outpatient practice Chinese physicians experienced was 811.30 (SD=494.98) with concentrating on between 200 and 1,200. Physicians who were female, from Eastern or Western China, and those who worked >60 h per week and longer outpatient hours per week were more likely to experience a higher PCW. 11.2% of participating physicians were identified as very high PCW physicians, compared with 11.6% as low PCW physicians, 45.5% as medium PCW physicians and 30.7% as high PCW physicians. Those who were female, older, from Western China, those who had lower educational levels, lower professional titles and longer working years in the current institution, and those who worked in tertiary A hospitals and Internal or Surgical, and worked >60 h per week and longer outpatient hours per week were more likely to be very high PCW physicians.

Conclusions

Our work has a potential application for comprehensively assessing physician workload tethered to outpatient practice and could provide a solid foundation for hospital managers to further accurately determine and identify physicians with high workload, who would otherwise be missed in either objective workload or mental workload.

The Impact of Hospital Capacity Strain: a Qualitative Analysis of Experience and Solutions at 13 Academic Medical Centers

BACKGROUND

Hospital capacity strain impacts quality of care and hospital throughput and may also impact the well being of clinical staff and teams as well as their ability to do their job. Institutions have implemented a wide array of tactics to help manage hospital capacity strain with variable success.

OBJECTIVE

Through qualitative interviews, our study explored interventions used to address hospital capacity strain and the perceived impact of these interventions, as well as how hospital capacity strain impacts patients, the workforce, and other institutional priorities.

DESIGN, SETTING, AND PARTICIPANTS

Qualitative study utilizing semi-structured interviews at 13 large urban academic medical centers across the USA from June 21, 2019, to August 22, 2019 (pre-COVID-19). Interviews were recorded, professionally transcribed verbatim, coded, and then analyzed using a mixed inductive and deductive method at the semantic level.

MAIN OUTCOME MEASURES

Themes and subthemes of semi-structured interviews were identified.

RESULTS

Twenty-nine hospitalist leaders and hospital leaders were interviewed. Across the 13 sites, a multitude of provider, care team, and institutional tactics were implemented with perceived variable success. While there was some agreement between hospitalist leaders and hospital leaders, there was also some disagreement about the perceived successes of the various tactics deployed. We found three main themes: (1) hospital capacity strain is complex and difficult to predict, (2) the interventions that were perceived to have worked the best when facing strain were to ensure appropriate resources; however, less costly solutions were often deployed and this may lead to unanticipated negative consequences, and (3) hospital capacity strain and the tactics deployed may negatively impact the workforce and can lead to conflict.

CONCLUSIONS

While institutions have employed many different tactics to manage hospital capacity strain and see this as a priority, tactics seen as having the highest yield are often not the first employed.

Association Between Physicians' Workload and Prescribing Quality in One Tertiary Hospital in China

BACKGROUND

Alarming increasing trends in physician workload have attracted much attention in recent years. Heavy workload may compromise the quality of medication use. Previous studies have identified a series of factors contributing to inappropriate prescribing; however, there is no demonstrated evidence supporting an association between workload and the appropriateness of physicians' prescriptions in China. This study aimed to investigate the relationship between physician workload and prescription quality in a tertiary hospital in Beijing, China.

METHODS

Our study was a single-center, retrospective study, with all outpatient electronic health records extracted from hospital information system of a tertiary hospital in Beijing from July 1 to November 30, 2015. We used outpatient volume in each 5-hour shift as the measure of physician workload. The evaluation of prescribing quality was based on the Rational Drug Use System. Generalized linear models with a γ distribution and a log link were used to explore factors associated with inappropriate prescribing, and we undertook a series of robustness tests with respect to different exclusion criteria.

RESULTS

A total of 457,784 prescriptions from 502 physicians were included in the study. Physicians had an average workload of 34.3 (±19.8) patients per shift, and the mean rate of inappropriate prescribing per shift was 14.1% (±14.6%). Higher rates of inappropriate prescribing were associated with heavier workloads (P < 0.001). Physicians who worked in the afternoon, chief physicians, those working in surgical department, males, and those with more than 20-year experience had higher rates of inappropriate prescribing with increasing workload.

CONCLUSIONS

Heavier workload was associated with higher risk of prescribing inappropriately. It requires great efforts to determine optimal physician workloads and mitigate the potential adverse effects on the prescription quality.

Implementation of a triage nurse role and the effect on hospitalist workload

OBJECTIVES

Hospital medicine groups vary staffing models to match available workforce with expected patient volumes and acuity. Larger groups often assign a single hospitalist to triage pager duty which can be burdensome due to frequent interruptions and multitasking. We introduced a new role, the Triage nurse, to hold the triage pager and distribute patients. We sought to determine the effect of this Triage Nurse on the perceived workload of hospitalists and frequency of pages.

METHODS

We partnered with our patient throughput department to implement the Triage Nurse role who took the responsibility of tracking and distributing admissions among three admitting physicians along with coordinating report. We used the National Aeronautics and Space Administration-Task Load Index (NASA-TLX) to measure perceived workload and accessed pager logs of admitters for 3 months before and after implementation.

RESULTS

Overall, 50 of an expected 67 NASA-TLX surveys (74.6%) were returned in the pre-intervention period and 64 of 92 (69.6%) were returned in the post-intervention period. We found a statistically significant reduction in the domains of physical demand, temporal demand, effort and frustration from pre- to post-intervention periods (p < 0.01). There was also a significant decrease in the performance domain (p = 0.01) with a lower number indicative of better perceived performance. There was a significant reduction in the mean number of pages received by admitting hospitalists over their 9-h shifts (81.3 + 17.3 vs 52.4 + 7.3; p < 0.01).

CONCLUSION

The implementation of the Triage Nurse role was associated with a significant decrease in the perceived workload of admitting hospitalists. Our findings are important because workload and interruptions can contribute to errors and burnout. Future studies should test interventions to improve hospitalist workload and evaluate their effect on patient outcomes and physician wellness.

Physician Mental Workload Scale in China: Development and Psychometric Evaluation

OBJECTIVE

The purpose of our study is to develop a mental workload scale for physicians in China and assess the scale's reliability and validity.

DESIGN

The instrument was developed over three phases involving 396 physicians from different tiers of comprehensive public hospitals in China. In the first phase, an initial item pool was developed through a systematic literature review. The second phase consisted of two rounds of Delphi expert consultations and a pilot survey. The third phase tested the reliability and validity of the instrument.

SETTING

Public hospitals in China.

PARTICIPANTS

A total of 396 physicians from different tiers of comprehensive public hospitals in China participated in this study in 2018.

PRIMARY AND SECONDARY OUTCOME MEASURES

Cronbach's α, content validity index, item-total score correlation coefficient, dimension-total score correlation coefficient and indices of confirmatory factor analysis.

RESULTS

Six dimensions (mental demands, physical demands, temporal demands, perceived risk, frustration level and performance) and 12 items were identified in the instrument. For reliability, Cronbach's α for the whole scale was 0.81. For validity, the corrected item-content validity index of each item ranged from 0.85 to 1, item-total score correlation coefficients ranged from 0.31 to 0.75, and the correlation coefficients between the dimensions and total score ranged from 0.37 to 0.72. The results of the confirmatory factor analysis showed that the goodness-of-fit indices of the scale were satisfactory.

CONCLUSION

The instrument showed good reliability and validity, and it is useful for diagnosing the mental workload of physicians.

Associations between attending physician workload, teaching effectiveness, and patient safety

BACKGROUND

Prior studies suggest that high workload among attending physicians may be associated with reduced teaching effectiveness and poor patient outcomes, but these relationships have not been investigated using objective measures of workload and safety.

OBJECTIVE

To examine associations between attending workload, teaching effectiveness, and patient safety, hypothesizing that higher workload would be associated with lower teaching effectiveness and negative patient outcomes.

DESIGN, SETTING, AND PARTICIPANTS

We conducted a retrospective study of 69,386 teaching evaluation items submitted by 543 internal medicine residents for 107 attending physicians who supervised inpatient teaching services from July 2, 2005 to July 1, 2011.

MEASUREMENTS

Attending workload measures included hospital service census, patient length of stay, daily admissions, daily discharges, and concurrent outpatient duties. Teaching effectiveness was measured using residents' evaluations of attendings. Patient outcomes considered were applicable patient safety indicators (PSIs), intensive care unit transfers, cardiopulmonary resuscitation/rapid response team calls, and patient deaths. Mixed linear models and generalized linear regression models were used for statistical analysis.

RESULTS

Workload measures of midnight census and daily discharges were associated with lower teaching evaluation scores (both β = -0.026, P < 0.0001). The number of daily admissions was associated with higher teaching scores (β = 0.021, P = 0.001) and increased PSIs (odds ratio = 1.81, P = 0.0001).

CONCLUSION

Several measures of attending physician workload were associated with slightly lower teaching effectiveness, and patient safety may be compromised when teams are managing new admissions. Ongoing efforts by residency programs to optimize the learning environment should include strategies to manage the workload of supervising attendings.

Intensivist-to-patient ratios in ICUs: is there a number?

PURPOSE OF REVIEW

Growth in critical care services has led to a dramatic increase in the need for ICU physicians. The supply of intensivists is not easily increased and there is pressure to solve this problem by increasing the number of patients per intensivist. There is a scarcity of published data addressing this issue, and until recently, there were no guidelines on appropriate ratios of intensivists to patients.

RECENT FINDINGS

In 2013, the Society of Critical Care Medicine formed a task force to address this issue and published written guidelines to aid hospitals in determining their intensivist staffing. This study reviews the published data which can aid these decisions and summarize the SCCM Taskforce's recommendations.

SUMMARY

The complex nature of critical care patients and ICUs make it difficult to provide one specific maximum intensivist-to-patient ratio, but common-sense rules can be applied. These recommendations are predicated on the principles that staffing can impact patient care as well as staff well-being and workforce stability. Also, that worsening patient outcomes, teaching, and workforce issues can be markers of inappropriate staffing. Finally, if the predicted daily workload of an intensivist exceeds the time of a work shift, then adjustments need to be made.