Relationships within inpatient physician housestaff teams and their association with hospitalized patient outcomes

Rounds Redesign: Our Experience In Splitting Interdisciplinary Rounds

Our hospital developed and implemented a major redesign of interdisciplinary rounds in order to achieve more efficient interdisciplinary communication in this challenging post-COVID era. The goal was to involve all key participants in a structured initiative to improve discharge planning, review important patient safety indicators, and enhance patient-physician communication. The comprehensive redesign, based on the Institute for Healthcare Improvement model, restructured the rounds into two distinct components: interdisciplinary disposition and clinical rounds. This new, dichotomous structure resulted in improved median discharge time, better identified estimated date of discharge and streamlined communication among care team providers. Combined with second rounds by physicians on patients getting discharged, there was an improvement in patient experience domains.

Interdisciplinary Team Meetings in Practice: an Observational Study of IDTs, Sensemaking Around Care Transitions, and Readmission Rates

BACKGROUND

Interdisciplinary teams (IDTs) have been implemented to improve collaboration in hospital care, but their impact on patient outcomes, including readmissions, has been mixed. These mixed results might be rooted in differences in organization of IDT meetings between hospitals, as well as variation in IDT characteristics and function. We hypothesize that relationships between IDT members are an important team characteristic, influencing IDT function in terms of how members make sense of what is happening with patients, a process called sensemaking OBJECTIVE: (1) To describe how IDT meetings are organized in practice, (2) assess differences in IDT member relationships and sensemaking during patient discussions, and (3) explore their potential association with risk-stratified readmission rates (RSRRs).

DESIGN

Observational, explanatory convergent mixed-methods case-comparison study of IDT meetings in 10 Veterans Affairs hospitals.

PARTICIPANTS

Clinicians participating in IDTs and facility leadership.

APPROACH

Three-person teams observed and recorded IDT meetings during week-long visits. We used observational data to characterize relationships and sensemaking during IDT patient discussions. To assess sensemaking, we used 2 frameworks that reflected sensemaking around each patient's situation generally, and around care transitions specifically. We examined the association between IDT relationships and sensemaking, and RSRRs.

KEY RESULTS

We observed variability in IDT organization, characteristics, and function across 10 hospitals. This variability was greater between hospitals than between teams at the same hospital. Relationship characteristics and both types of sensemaking were all significantly, positively correlated. General sensemaking regarding each patient was significantly negatively associated with RSRR (- 0.65, p = 0.044).

CONCLUSIONS

IDTs vary not only in how they are organized, but also in team relationships and sensemaking. Though our design does not allow for inferences of causation, these differences may be associated with hospital readmission rates.

A Resident-as-Leader Curriculum for Managing Inpatient Teams

PROBLEM

Leading inpatient teams is a foundational clinical responsibility of resident physicians and leadership is a core competency for inpatient physicians, yet few training programs have formal leadership curricula to realize this clinical skill.

INTERVENTION

We implemented a 4-module curriculum for PGY1 internal medicine residents. The program focused on the managerial skills necessary for daily clinical leadership, followed by clinical coaching. Interns were first introduced to foundational concepts and then given the opportunity to apply those concepts to real-world practice followed by clinical coaching.

CONTEXT

Using direct-observations and a previously published checklist for rounds leadership, this study sought to evaluate the workplace behavior change for novice residents leading inpatient teams for the first time. We conducted a prospective cohort study (March 2016 and August 2018) of internal medicine residents at a large tertiary academic medical center in Boston, MA. Trained faculty raters performed direct observations of clinical rounding experiences using the checklist and compared the findings to historical and internal controls. Questionnaires were distributed pre- and post- curriculum to assess satisfaction and readiness to lead a team.

IMPACT

We trained 65 PGY1 residents and raters conducted 140 direct observations - 36 in the intervention group and 104 among historical controls. The unadjusted mean score in rounds leadership skills for the intervention group was 19.0 (SD = 5.1) compared to 16.2 (SD = 6.2) for historical controls. Adjusting for repeated measures, we found significant improvement in mean scores for behaviors linked to the curricular objectives (p = 0.008) but not for general behaviors not covered by the curriculum (p = 0.2).

LESSONS LEARNED

A formal curriculum to train residents as leaders led to behavior change in the workplace in domains essential to rounds leadership. We also found that the curriculum was highly regarded in that all interns indicated they would recommend the curriculum to a peer. Moreover, the program may have assuaged some anxiety during the transition to junior year as 90% of interns surveyed felt more ready to start PGY2 year than historical trainings. We learned that while a robust, multi-faceted modular curriculum and clinical coaching successfully resulted in behavior change, the resources required to manage this program are significant and difficult to sustain. Future iterations could include asynchronous material and potentially peer-observation of rounds leadership to reduce the burden on faculty and program curricular time.

Dismissal disagreement and discharge delays: Associations of patient-clinician plan of care agreement with discharge outcomes

BACKGROUND

Many hospitalized patients do not understand or agree with their clinicians about their discharge plan. However, the effect of disagreement on discharge outcomes is unknown.

OBJECTIVE

To measure the correlation between patient-clinician care agreement and discharge outcomes.

DESIGN

A prospective cohort study was performed from September 2019 to March 2020 (Rochester, MN, USA).

SETTING AND PARTICIPANTS

Internal medicine patients and their primary clinician (resident, advanced practice clinician or attending) hospitalized from September 2019-March 2020 at Mayo Clinic Hospital. Participants were independently surveyed following hospital day #3 ward rounds regarding the goals of the hospitalization and discharge planning.

MAIN OUTCOME AND MEASURES

Patient-clinician agreement for main diagnosis, patient's main concern, and four domains of discharge planning was assessed. Readiness for hospital discharge, delayed discharge, and 30-day readmission was measured. Then, associations between patient-clinician agreement, delayed discharge, and 30-day readmissions were analyzed using multivariable logistic regression.

RESULTS

Of the 436 patients and clinicians, 17.7% completely agreed about what needs to be accomplished before dismissal, 40.8% agreed regarding discharge date, and 71.1% agreed regarding discharge location. In the multivariable model, patient-clinician agreement scores were not significantly correlated with discharge outcomes. Patient-clinician agreement on discharge location was higher for those discharged to home (81.5%) versus skilled nursing facility (48.5%) or assisted living (42.9%) (p < .0001). The agreement on the expected length of stay was highest for home-goers (45.9%) compared to skilled nursing (32.0%) or assisted living (21.4%) (p = .004).

CONCLUSIONS

Patients and their clinicians frequently disagree about when and where a patient will go after hospitalization, particularly for those discharged to a skilled nursing facility. While disagreement did not predict discharge outcomes, our findings suggest opportunities to improve effective communication and promote shared mental models regarding discharge earlier in the hospital stay.

Relationships Between Time-at-Bedside During Hospital Ward Rounds, Clinician-Patient Agreement, and Patient Experience

Hospital medicine ward rounds are often conducted away from patients' bedsides, but it is unknown if more time-at-bedside is associated with improved patient outcomes. Our objective is to measure the association between "time-at-bedside," patient experience, and patient-clinician care agreement during ward rounds. Research assistants directly observed medicine services to quantify the amount of time spent discussing each patient's care inside versus outside the patient's room. "Time-at-bedside" was defined as the proportion of time spent discussing a patient's care in his or her room. Patient experience and patient-clinician care agreement both were measured immediately after ward rounds. Results demonstrated that the majority of patient and physicians completely agreement on planned tests (66.3%), planned procedures (79.7%), medication changes (50.6%), and discharge location (66.9%), but had no agreement on the patient's main concern (74.4%) and discharge date (50.6%). Time-at-bedside was not correlated with care agreement or patient experience (P > .05 for all comparisons). This study demonstrates that spending more time at the bedside during ward rounds, alone, is insufficient to improve patient experience.

Understanding contexts: how explanatory theories can help

OBJECTIVE

To rethink the nature and roles of context in ways that help improvers implement effective, sustained improvement interventions in healthcare quality and safety.

DESIGN

Critical analysis of existing concepts of context; synthesis of those concepts into a framework for the construction of explanatory theories of human environments, including healthcare systems.

DATA SOURCES

Published literature in improvement science, as well as in social, organization, and management sciences. Relevant content was sought by iteratively building searches from reference lists in relevant documents.

RESULTS

Scientific thought is represented in both causal and explanatory theories. Explanatory theories are multi-variable constructs used to make sense of complex events and situations; they include basic operating principles of explanation, most importantly: transferring new meaning to complex and confusing phenomena; separating out individual components of an event or situation; unifying the components into a coherent construct (model); and adapting that construct to fit its intended uses. Contexts of human activities can be usefully represented as explanatory theories of peoples' environments; they are valuable to the extent they can be translated into practical changes in behaviors. Healthcare systems are among the most complex human environments known. Although no single explanatory theory adequately represents those environments, multiple mature theories of human action, taken together, can usually make sense of them. Current mature theories of context include static models, universal-plus-variable models, activity theory and related models, and the FITT framework (Fit between Individuals, Tasks, and Technologies). Explanatory theories represent contexts most effectively when they include basic explanatory principles.

CONCLUSIONS

Healthcare systems can usefully be represented in explanatory theories. Improvement interventions in healthcare quality and safety are most likely to bring about intended and sustained changes when improvers use explanatory theories to align interventions with the host systems into which they are being introduced.

Implementing bedside rounds to improve patient-centred outcomes: a systematic review

BACKGROUND

Bedside rounds (BR) have been proposed as an ideal method to promote patient-centred hospital care, but there is substantial variation in their implementation and effects. Our objectives were to describe the implementation of BR in hospital settings and determine their effect on patient-centred outcomes.

METHODS

Data sources included Ovid MEDLINE, Ovid Embase, Scopus and Ovid Cochrane Central Registry of Clinical Trials from database inception through 28 July 2017. We included experimental studies comparing BR to another form of rounds in a hospital-based setting (ie, medical/surgical unit, intensive care unit (ICU)) and reporting a quantitative patient-reported or objectively measured clinical outcome. We used random effects models to calculate pooled Cohen's d effect size estimates for the patient knowledge and patient experience outcome domains.

RESULTS

Twenty-nine studies met inclusion criteria, including 20 from adult care (17 non-ICU, 3 ICU), and nine from paediatrics (5 non-ICU, 4 ICU), the majority of which (n=23) were conducted in the USA. Thirteen studies implemented BR with cointerventions as part of a 'bundle'. Studies most commonly reported outcomes in the domains of patient experience (n=24) and patient knowledge (n=10). We found a small, statistically significant improvement in patient experience with BR (summary Cohen's d=0.09, 95% CI 0.04 to 0.14, p<0.001, I²=56%), but no significant association between BR and patient knowledge (Cohen's d=0.21, 95% CI -0.004 to -0.43, p=0.054, I²=92%). Risk of bias was moderate to high, with methodological limitations most often relating to selective reporting, low adherence rates and missing data.

CONCLUSIONS

BR have been implemented in a variety of hospital settings, often 'bundled' with cointerventions. However, BR have demonstrated limited effect on patient-centred outcomes.

Psychiatric consultation requests by inpatient medical teams: an observational study

Background

We describe the way psychiatric issues are addressed by inpatient medical teams through analysis of discussions of patients with behavioral health concerns and examination of teams’ subsequent consultation practices.

Methods

We observed morning rounds for nine inpatient medical teams for approximately month-long periods, for a total of 1941 observations. We compared discussions of patients admitted for behavioral health related medical conditions between those who did and did not receive a psychiatric consultation, developing categories to describe factors influencing consultation or other management.

Results

Out of 536 patients, 40 (7.5%) received a psychiatry consult. Evaluation of a known concern (i.e., substance use, affective disorder, or suicidal ideation) was the most common reason for referral (41.7%). Requests for medication review were second (30.6%). Thirty patients with concomitant behavioral and medical health issues did not receive a psychiatry consult. Cirrhosis with active substance use was the most common medical diagnosis (15), followed by alcohol withdrawal (9).

Conclusions

Four primary themes emerged from our data: positive identification of behavioral health issues by physicians, medication management as a primary reason for referral, patient preference in physician decision-making, and poor management of substance abuse. Our results identify two potential areas where skills-building for inpatient physicians could have a positive impact: management of medication and of substance abuse management.

Protocol for a mixed methods study of hospital readmissions: sensemaking in Veterans Health Administration healthcare system in the USA

INTRODUCTION

Effective delivery of healthcare in complex systems requires managing interdependencies between professions and organisational units. Reducing 30-day hospital readmissions may be one of the most complex tasks that a healthcare system can undertake. We propose that these less than optimal outcomes are related to difficulties managing the complex interdependencies among organisational units and to a lack of effective sensemaking among individuals and organisational units regarding how best to coordinate patient needs.

METHODS AND ANALYSIS

This is a mixed method, multistepped study. We will conduct in-depth qualitative organisational case studies in 10 Veterans Health Administration facilities (6 with improving and 4 with worsening readmission rates), focusing on relationships, sensemaking and improvisation around care transition processes intended to reduce early readmissions. Data will be gathered through multiple methods (eg, chart reviews, surveys, interviews, observations) and analysed using analytic memos, qualitative coding and statistical analyses. We will construct an agent-based model based on those results to explore the influence of sensemaking and specific care transition processes on early readmissions.

ETHICS AND DISSEMINATION

Ethical approval has been obtained through the Institutional Review Board of the University of Texas Health Science Center at San Antonio (approval number: 14-258 hour). We will disseminate our findings in manuscripts in peer-reviewed journals, professional conferences and through short reports back to participating entities and stakeholders.

Service and Education: The Association Between Workload, Patient Complexity, and Teaching on Internal Medicine Inpatient Services

BACKGROUND

Attending rounds remain the primary venue for formal teaching and learning at academic medical centers. Little is known about the effect of increasing clinical demands on teaching during attending rounds.

OBJECTIVE

To explore the relationships among teaching time, teaching topics, clinical workload, and patient complexity variables.

DESIGN

Observational study of medicine teaching teams from September 2008 through August 2014. Teams at two large teaching hospitals associated with a single medical school were observed for periods of 2 to 4 weeks.

PARTICIPANTS

Twelve medicine teaching teams consisting of one attending, one second- or third-year resident, two to three interns, and two to three medical students.

MAIN MEASURES

The study examined relationships between patient complexity (comorbidities, complications) and clinical workload variables (census, turnover) with educational measures. Teams were clustered based on clinical workload and patient complexity. Educational measures of interest were time spent teaching and number of teaching topics. Data were analyzed both at the daily observation level and across a given patient's admission.

KEY RESULTS

We observed 12 teams, 1994 discussions (approximately 373 h of rounds) of 563 patients over 244 observation days. Teams clustered into three groups: low patient complexity/high clinical workload, average patient complexity/low clinical workload, and high patient complexity/high clinical workload. Modest associations for team, patient complexity, and clinical workload variables were noted with total time spent teaching (9.1% of the variance in time spent teaching during a patient's admission; F[8,549] = 6.90, p < 0.001) and number of teaching topics (16% of the variance in the total number of teaching topics during a patient's admission; F[8,548] = 14.18, p < 0.001).

CONCLUSIONS

Clinical workload and patient complexity characteristics among teams were only modestly associated with total teaching time and teaching topics.

When personality is the problem: Managing patients with difficult personalities on the acute care unit

Personality disorders are pervasive patterns of maladaptive behaviors, thoughts, and emotions that often go unrecognized and can wreak havoc in the patient's interpersonal life. These inflexible patterns of managing the world can be disruptive when an individual is admitted to the hospital, causing distress for both the patient who lacks the skills to deal with the expectations of the hospital environment and the treatment team who can feel ill equipped to manage such behavior. Having a personality disorder has implications for an individual's healthcare outcomes; those with a personality disorder have a life expectancy nearly 2 decades shorter than the general population for a multitude of reasons, among them trouble interacting with the healthcare system. Although a diagnosis of a specific personality disorder may be difficult to make on an acute care unit, identification of dysfunctional personality structures can provide opportunity for better management of an individual patient's medical and psychological needs. This review focuses on the identification of these individuals in the acute care setting and provides an overview of evidence-based behavioral and pharmacological interventions. Journal of Hospital Medicine 2015;11:873-878. © 2015 Society of Hospital Medicine.

Taking action on overuse: Creating the culture for change

BACKGROUND

Unnecessary care contributes to high costs and places patients at risk of harm. While most providers support reducing low-value care, changing established practice patterns is difficult and requires active engagement in sustained behavioral, organizational, and cultural change. Here we describe an action-planning framework to engage providers in reducing overused services.

METHODS

The framework is informed by a comprehensive review of social science theory and literature, published reports of successful and unsuccessful efforts to reduce low-value care, and interviews with innovators of value-based care initiatives in twenty-three health care organizations across the United States. A multi-stakeholder advisory committee provided feedback on the framework and guidance on optimizing it for use in practice.

RESULTS

The framework describes four conditions necessary for change: prioritize addressing low-value care; build a culture of trust, innovation and improvement; establish shared language and purpose; and commit resources to measurements. These conditions foster productive sense-making conversations between providers, between providers and patients, and among members of the health care team about the potential for harm from overuse and reflection on current frequency of use. Through these conversations providers, patients and team members think together as a group, learn how to coordinate individual behaviors, and jointly develop possibilities for coordinated action around specific areas of overuse.

CONCLUSIONS

Organizational efforts to engage providers in value-based care focused on creating conditions for productive sense-making conversations that lead to change.

IMPLICATIONS

Organizations can use this framework to enhance and strengthen provider engagement efforts to do less of what potentially harms and more of what truly helps patients.

For the General Internist: A Summary of Key Innovations in Medical Education

We conducted a review of published medical education articles to identify high-quality research and innovation relevant to educators in general medicine. Our review team consisted of six general internists with expertise in medical education and a professional medical librarian. We manually searched 15 journals in pairs (a total of 3062 citations) for original research articles in medical education published in 2014. Each pair of reviewers independently rated the relevance, importance, and generalizability of articles on medical education in their assigned journals using a 27-point scale (maximum of 9 points for each characteristic). From this list, each team member independently reviewed the 22 articles that received a score of 20 or higher from both initial reviewers, and for each selected article rated the quality and global relevance for the generalist educator. We included the seven top-rated articles for presentation in this review, and categorized the studies into four general themes: continuity clinic scheduling, remediation, interprofessional education, and quality improvement and patient safety. We summarized key findings and identified significant limitations of each study. Further studies assessing patient outcomes are needed to strengthen the literature in medical education. This summary of relevant medical education articles can inform future research, teaching, and practice.

The Association Between Sensemaking During Physician Team Rounds and Hospitalized Patients' Outcomes

BACKGROUND

Sensemaking is the social act of assigning meaning to ambiguous events. It is recognized as a means to achieve high reliability. We sought to assess sensemaking in daily patient care through examining how inpatient teams round and discuss patients.

OBJECTIVE

Our purpose was to assess the association between inpatient physician team sensemaking and hospitalized patients' outcomes, including length of stay (LOS), unnecessary length of stay (ULOS), and complication rates.

DESIGN

Eleven inpatient medicine teams' daily rounds were observed for 2 to 4 weeks. Rounds were audiotaped, and field notes taken. Four patient discussions per team were assessed using a standardized Situation, Task, Intent, Concern, Calibrate (STICC) framework.

PARTICIPANTS

Inpatient physician teams at the teaching hospitals affiliated with the University of Texas Health Science Center at San Antonio participated in the study. Outcomes of patients admitted to the teams were included.

MAIN MEASURES

Sensemaking was assessed based on the order in which patients were seen, purposeful rounding, patient-driven rounding, and individual patient discussions. We assigned teams a score based on the number of STICC elements used in the four patient discussions sampled. The association between sensemaking and outcomes was assessed using Kruskal-Wallis sum rank and Dunn's tests.

KEY RESULTS

Teams rounded in several different ways. Five teams rounded purposefully, and four based rounds on patient-driven needs. Purposeful and patient-driven rounds were significantly associated with lower complication rates. Varying the order in which patients were seen and purposefully rounding were significantly associated with lower LOS, and purposeful and patient-driven rounds associated with lower ULOS. Use of a greater number of STICC elements was associated with significantly lower LOS (4.6 vs. 5.7, p = 0.01), ULOS (0.3 vs. 0.6, p = 0.02), and complications (0.2 vs. 0.5, p = 0.0001).

CONCLUSIONS

Improving sensemaking may be a strategy for improving patient outcomes, fostering a shared understanding of a patient's clinical trajectory, and enabling high reliability.

Manifestations and implications of uncertainty for improving healthcare systems: an analysis of observational and interventional studies grounded in complexity science

Background

The application of complexity science to understanding healthcare system improvement highlights the need to consider interdependencies within the system. One important aspect of the interdependencies in healthcare delivery systems is how individuals relate to each other. However, results from our observational and interventional studies focusing on relationships to understand and improve outcomes in a variety of healthcare settings have been inconsistent. We sought to better understand and explain these inconsistencies by analyzing our findings across studies and building new theory.

Methods

We analyzed eight observational and interventional studies in which our author team was involved as the basis of our analysis, using a set theoretical qualitative comparative analytic approach. Over 16 investigative meetings spanning 11 months, we iteratively analyzed our studies, identifying patterns of characteristics that could explain our set of results.

Our initial focus on differences in setting did not explain our mixed results. We then turned to differences in patient care activities and tasks being studied and the attributes of the disease being treated. Finally, we examined the interdependence between task and disease.

Results

We identified system-level uncertainty as a defining characteristic of complex systems through which we interpreted our results. We identified several characteristics of healthcare tasks and diseases that impact the ways uncertainty is manifest across diverse care delivery activities. These include disease-related uncertainty (pace of evolution of disease and patient control over outcomes) and task-related uncertainty (standardized versus customized, routine versus non-routine, and interdependencies required for task completion).

Conclusions

Uncertainty is an important aspect of clinical systems that must be considered in designing approaches to improve healthcare system function. The uncertainty inherent in tasks and diseases, and how they come together in specific clinical settings, will influence the type of improvement strategies that are most likely to be successful. Process-based efforts appear best-suited for low-uncertainty contexts, while relationship-based approaches may be most effective for high-uncertainty situations.

Electronic supplementary material

The online version of this article (doi:10.1186/s13012-014-0165-1) contains supplementary material, which is available to authorized users.