Impact of billing reforms on academic hospitalist physician and advanced practice provider collaboration: A qualitative study.

BACKGROUND: Medicare previously announced plans for new billing reforms for inpatient visits that are shared by physicians and advanced practice providers (APPs) whereby the clinician spending the most time on the patient visit would bill for the visit. OBJECTIVE: To understand how inpatient hospital medicine teams utilize APPs in patient care and how the proposed billing policies might impact future APP utilization. DESIGN, SETTING AND PARTICIPANTS: We conducted focus groups with hospitalist physicians, APPs, and other leaders from 21 academic hospitals across the United States. Utilizing rapid qualitative methods, focus groups were analyzed using a mixed inductive and deductive method at the semantic level with templated summaries and matrix analysis. Thirty-three individuals (physicians [n = 21], APPs [n = 10], practice manager [n = 1], and patient representative [n = 1]) participated in six focus groups. RESULTS: Four themes emerged from the analysis of the focus groups, including: (1) staffing models with APPs are rapidly evolving, (2) these changes were felt to be driven by staffing shortages, financial models, and governance with minimal consideration to teamwork and relationships, (3) time-based billing was perceived to value tasks over cognitive workload, and (4) that the proposed billing changes may create unintended consequences impacting collaboration and professional satisfaction. CONCLUSIONS: Physician and APP collaborative care models are increasingly evolving to independent visits often driven by workloads, financial drivers, and local regulations such as medical staff rules and hospital bylaws. Understanding which staffing models produce optimal patient, clinician, and organizational outcomes should inform billing policies rather than the reverse.

Critical Care Staffing in Pandemics and Disasters: A Consensus Report From a Subcommittee of the Task Force for Mass Critical Care - Systems Strategies to Sustain the Health Care Workforce.

BACKGROUND: The COVID-19 pandemic has led to unprecedented mental health disturbances, burnout, and moral distress among health care workers, affecting their ability to care for themselves and their patients. RESEARCH QUESTION: In health care workers, what are key systemic factors and interventions impacting mental health and burnout? STUDY DESIGN AND METHODS: The Workforce Sustainment subcommittee of the Task Force for Mass Critical Care (TFMCC) utilized a consensus development process, incorporating evidence from literature review with expert opinion through a modified Delphi approach to determine factors affecting mental health, burnout, and moral distress in health care workers, to propose necessary actions to help prevent these issues and enhance workforce resilience, sustainment, and retention. RESULTS: Consolidation of evidence gathered from literature review and expert opinion resulted in 197 total statements that were synthesized into 14 major suggestions. These suggestions were organized into three categories: (1) mental health and well-being for staff in medical settings; (2) system-level support and leadership; and (3) research priorities and gaps. Suggestions include both general and specific occupational interventions to support health care worker basic physical needs, lower psychological distress, reduce moral distress and burnout, and foster mental health and resilience. INTERPRETATION: The Workforce Sustainment subcommittee of the TFMCC offers evidence-informed operational strategies to assist health care workers and hospitals plan, prevent, and treat the factors affecting health care worker mental health, burnout, and moral distress to improve resilience and retention following the COVID-19 pandemic.

The impact of surge adaptations on hospitalist care teams during the COVID-19 pandemic utilizing a rapid qualitative analysis approach.

BACKGROUND: Hospital systems have rapidly adapted to manage the influx of patients with COVID-19 and hospitalists, specialists in inpatient care, have been at the forefront of this response, rapidly adapting to serve the ever-changing needs of the community and hospital system. Institutional leaders, including clinical care team members and administrators, deployed many different strategies (i.e. adaptations) to manage the influx of patients. While many different strategies were utilized in hospitals across the United States, it is unclear how frontline care teams experienced these strategies and multifaceted changes. As these surge adaptations likely directly impact clinical care teams, we aimed to understand the perceptions and impact of these clinical care and staffing adaptations on hospitalists and care team members in order to optimize future surge plans. METHODS: Qualitative, semi-structured interviews and focus groups with hospitalist physicians, advanced practice providers (APPs), and hospital nursing and care management staff at a quaternary academic medical center. Interviews focused on the impact of COVID-19 surge practices on the following areas: (1) the experience of clinical care teams with the adaptations used to manage the surge (2) the perception and experience with the communication strategies utilized (3) the personal experience with the adaptations (i.e. how they impacted the individual) and (4) if participants had recommendations on strategies for future surges. We utilized rapid qualitative analysis methods to explore themes and subthemes. RESULTS: We conducted five focus groups and 21 interviews. Three themes emerged from the work including (1) dynamic clinical experience with a lot of uncertainty, (2) the importance of visible leadership with a focus on sense-making, and (3) the significant emotional toll on care team members. Subthemes included sufficient workforce, role delineation and training, information sharing, the unique dichotomy between the need for flexibility and the need for structure, the importance of communication, and the emotional toll not only on the provider but their families. Several recommendations came from this work. CONCLUSIONS: COVID-19 surge practices have had direct impact on hospitalists and care team members. Several tactics were identified to help mitigate the many negative effects of COVID-19 on frontline hospitalist providers and care teams.

Mass Critical Care Surge Response During COVID-19: Implementation of Contingency Strategies - A Preliminary Report of Findings From the Task Force for Mass Critical Care.

BACKGROUND: After the publication of a 2014 consensus statement regarding mass critical care during public health emergencies, much has been learned about surge responses and the care of overwhelming numbers of patients during the COVID-19 pandemic. Gaps in prior pandemic planning were identified and require modification in the midst of severe ongoing surges throughout the world. RESEARCH QUESTION: A subcommittee from The Task Force for Mass Critical Care (TFMCC) investigated the most recent COVID-19 publications coupled with TFMCC members anecdotal experience in order to formulate operational strategies to optimize contingency level care, and prevent crisis care circumstances associated with increased mortality. STUDY DESIGN AND METHODS: TFMCC adopted a modified version of established rapid guideline methodologies from the World Health Organization and the Guidelines International Network-McMaster Guideline Development Checklist. With a consensus development process incorporating expert opinion to define important questions and extract evidence, the TFMCC developed relevant pandemic surge suggestions in a structured manner, incorporating peer-reviewed literature, "gray" evidence from lay media sources, and anecdotal experiential evidence. RESULTS: Ten suggestions were identified regarding staffing, load-balancing, communication, and technology. Staffing models are suggested with resilience strategies to support critical care staff. ICU surge strategies and strain indicators are suggested to enhance ICU prioritization tactics to maintain contingency level care and to avoid crisis triage, with early transfer strategies to further load-balance care. We suggest that intensivists and hospitalists be engaged with the incident command structure to ensure two-way communication, situational awareness, and the use of technology to support critical care delivery and families of patients in ICUs. INTERPRETATION: A subcommittee from the TFMCC offers interim evidence-informed operational strategies to assist hospitals and communities to plan for and respond to surge capacity demands resulting from COVID-19.

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.

The Effectiveness of a Multidisciplinary Electronic Discharge Readiness Tool: Prospective, Single-Center, Pre-Post Study.

BACKGROUND: In the face of hospital capacity strain, hospitals have developed multifaceted plans to try to improve patient flow. Many of these initiatives have focused on the timing of discharges and on lowering lengths of stay, and they have met with variable success. We deployed a novel tool in the electronic health record to enhance discharge communication. OBJECTIVE: The aim of this study is to evaluate the effectiveness of a discharge communication tool. METHODS: This was a prospective, single-center, pre-post study. Hospitalist physicians and advanced practice providers (APPs) used the Discharge Today Tool to update patient discharge readiness every morning and at any time the patient status changed throughout the day. Primary outcomes were tool use, time of day the clinician entered the discharge order, time of day the patient left the hospital, and hospital length of stay. We used linear mixed modeling and generalized linear mixed modeling, with team and discharging provider included in all the models to account for patients cared for by the same team and the same provider. RESULTS: During the pilot implementation period from March 5, 2019, to July 31, 2019, a total of 4707 patients were discharged (compared with 4558 patients discharged during the preimplementation period). A total of 352 clinical staff had used the tool, and 84.85% (3994/4707) of the patients during the pilot period had a discharge status assigned at least once. In a survey, most respondents reported that the tool was helpful (32/34, 94% of clinical staff) and either saved time or did not add additional time to their workflow (21/24, 88% of providers, and 34/34, 100% of clinical staff). Although improvements were not observed in either unadjusted or adjusted analyses, after including starting morning census per team as an effect modifier, there was a reduction in the time of day the discharge order was entered into the electronic health record by the discharging physician and in the time of day the patient left the hospital (decrease of 2.9 minutes per additional patient, P=.07, and 3 minutes per additional patient, P=.07, respectively). As an effect modifier, for teams that included an APP, there was a significant reduction in the time of day the patient left the hospital beyond the reduction seen for teams without an APP (decrease of 19.1 minutes per patient, P=.04). Finally, in the adjusted analysis, hospital length of stay decreased by an average of 3.7% (P=.06). CONCLUSIONS: The Discharge Today tool allows for real time documentation and sharing of discharge status. Our results suggest an overall positive response by care team members and that the tool may be useful for improving discharge time and length of stay if a team is staffed with an APP or in higher-census situations.

Development and Implementation of a Multidisciplinary Electronic Discharge Readiness Tool: User-Centered Design Approach.

BACKGROUND: Typical solutions for improving discharge planning often rely on one-way communication mechanisms, static data entry into the electronic health record (EHR), or in-person meetings. Lack of timely and effective communication can adversely affect patients and their care teams. OBJECTIVE: Applying robust user-centered design strategies, we aimed to design an innovative EHR-based discharge readiness communication tool (the Discharge Today tool) to enable care teams to communicate any barriers to discharge, the status of patient discharge readiness, and patient discharge needs in real time across hospital settings. METHODS: We employed multiple user-centered design strategies, including exploration of the current state for documenting discharge readiness and directing discharge planning, iterative low-fidelity prototypes, multidisciplinary stakeholder meetings, a brainwriting premortem exercise, and preproduction user testing. We iteratively collected feedback from users via meetings and surveys. RESULTS: We conducted 28 meetings with 20 different stakeholder groups. From these stakeholder meetings, we developed 14 low-fidelity prototypes prior to deploying the Discharge Today tool for our pilot study. During the pilot study, stakeholders requested 46 modifications, of which 25 (54%) were successfully executed. We found that most providers who responded to the survey reported that the tool either saved time or did not change the amount of time required to complete their discharge workflow (21/24, 88%). Responses to open-ended questions offered both positive feedback and opportunities for improvement in the domains of efficiency, integration into workflow, avoidance of redundancies, expedited communication, and patient-centeredness. CONCLUSIONS: Survey data suggest that this electronic discharge readiness tool has been successfully adopted by providers and clinical staff. Frequent stakeholder engagement and iterative user-centered design were critical to the successful implementation of this tool.

Advancing Diversity, Equity, and Inclusion in Hospital Medicine.

BACKGROUND: In nearly all areas of academic medicine, disparities still exist for women and underrepresented minorities (URMs). OBJECTIVES: Develop a strategic plan for advancing diversity, equity, and inclusion (DEI); implement and evaluate the plan, specifically focusing on compensation, recruitment, and policies. DESIGN, SETTING, PARTICIPANTS: Programmatic evaluation conducted in the division of hospital medicine (DHM) at a major academic medical center involving DHM faculty and staff. MEASUREMENTS: (1) Development and implementation of strategic plan, including policies, processes, and practices related to key components of DEI program; (2) assessment of specific DEI outcomes, including plan implementation, pre-post salary data disparities based on academic rank, and pre-post disparities for protected time for similar roles. RESULTS: Using information gathered from a focus group with DHM faculty, an iterative strategic plan for DEI was developed and deployed, with key components of focus being institutional structures, our people, our environments, and our core mission areas. A director of DEI was established to help oversee these efforts. Using a two-phase approach, salary disparities by rank were eliminated. Internally funded protected time was standardized for leadership roles. A data dashboard has been developed to track high-level successes and areas for future focus. CONCLUSION: Using a systematic evidence-based approach with key stakeholder involvement, a division-wide DEI strategy was developed and implemented. While this work is ongoing, short-term wins are possible, in particular around salary equity and development of policies and structures to promote DEI.

Harnessing the Power of Hospitalists in Operational Disaster Planning: COVID-19.

Hospitalists are well poised to serve in key leadership roles and in frontline care in particular when facing a pandemic such as the SARS-CoV-2 (COVID-19) infection. Much of the disaster planning in hospitals around the country addresses overcrowded emergency departments and decompressing these locations; however, in the case of COVID-19, intensive care units, emergency departments, and medical wards ran the risk of being overwhelmed by a large influx of patients needing high-level medical care. In a matter of days, our Division of Hospital Medicine, in partnership with our hospital, health system, and academic institution, was able to modify and deploy existing disaster plans to quickly care for an influx of medically complex patients. We describe a scaled approach to managing hospitalist clinical operations during the COVID-19 pandemic.

Comparing patient and nurse specialist reports of causative factors of depression related to heart failure.

PURPOSE: The purpose of this study was to compare participants' and a psychiatric nurse specialist's reports on factors precipitating depression and to validate a depression screening instrument. DESIGN AND METHODS: Participants were screened for and asked to self-report causative factors of their depression. Participants with moderately severe and severe depressive symptoms received a psychiatric nurse specialist assessment. FINDINGS: Participants self-reported several causative factors of depression. The psychiatric nurse specialist discovered these plus additional factors. The screening instrument was found to be reliable and valid for the measurement of depressive symptoms. PRACTICE IMPLICATIONS: Participant self-report identifies many causative factors of depression. The psychiatric nurse specialist identifies additional factors, allowing individualized diagnoses and treatments.