A systematic review of outcomes and quality measures in adult patients cared for by hospitalists vs nonhospitalists

Outcomes on an inpatient oncology service after the introduction of hospitalist comanagement

BACKGROUND

Smilow Cancer Hospital (SCH) introduced hospitalist comanagement to the inpatient oncology service to address long lengths of stay and oncologist burnout.

OBJECTIVE

To determine the impact of hospitalists on inpatient quality outcomes and oncologist experience.

INTERVENTIONS

Hospitalists were introduced to one of two inpatient oncology services at SCH. Patients were assigned to teams equally based on capacity. Outcomes on the oncologist-led, traditional service (TS) were compared with outcomes on the hospitalist service (HS) 6 months after program implementation.

MAIN OUTCOMES AND MEASURES

Outcomes included patient volume, length of stay (LOS), early discharge, discharge time, and 30-day readmission rate. Mixed linear or Poisson models that accounted for multiple admissions during the study duration were used. Oncologist experience was measured by survey.

RESULTS

During the study period, there were 713 discharges, 400 from the HS and 313 from the TS (p = .0003). There was no difference in demographics or severity of illness (SOI) between services. Following adjustment for age, sex, race/ethnicity, cancer type, and discharge disposition, the average LOS was 4.71 on the HS and 5.47 on the TS (p = .01). Adjusted early discharge rate was 6.22% on the HS and 2.06% on the TS (p = .01). Adjusted mean discharge time was 3:45 p.m. on HS and 4:16 p.m. on TS (p = .009). There was no difference in readmission rates. Oncologists reported less stress (p = .001) and a better ability to manage competing responsibilities (p < .0001) while working on the HS.

CONCLUSIONS

Hospitalist comanagement significantly improved LOS, early discharge, time of discharge, and oncologist experience without an increase in 30-day readmissions.

Building a thriving academic hospitalist workforce: A rapid qualitative analysis identifying key areas of focus in the field

BACKGROUND

The hospitalist workforce has been at the forefront of the pandemic and has been stretched in both clinical and nonclinical domains. We aimed to understand current and future workforce concerns, as well as strategies to cultivate a thriving hospital medicine workforce.

DESIGN, SETTING, AND PARTICIPANTS

We conducted qualitative, semistructured focus groups with practicing hospitalists via video conferencing (Zoom). Utilizing components from the Brainwriting Premortem Approach, attendees were split into small focus groups and listed their thoughts about workforce issues that hospitalists may encounter in the next 3 years, identifying the highest priority workforce issues for the hospital medicine community. Each small group discussed the most pressing workforce issues. These ideas were then shared across the entire group and ranked. We used rapid qualitative analysis to guide a structured exploration of themes and subthemes.

RESULTS

Five focus groups were held with 18 participants from 13 academic institutions. We identified five key areas: (1) support for workforce wellness; (2) staffing and pipeline development to maintain an adequate workforce to match clinical growth; (3) scope of work, including how hospitalist work is defined and whether the clinical skillset should be expanded; (4) commitment to the academic mission in the setting of rapid and unpredictable clinical growth; and (5) alignment between the duties of hospitalists and resources of hospitals. Hospitalists voiced numerous concerns about the future of our workforce. Several domains were identified as high-priority areas of focus to address current and future challenges.

Characteristics of adult hospital medicine fellowships in the United States: A cross-sectional survey study

BACKGROUND

Hospitalists who seek academic careers are interested in developing skills in research, education, and quality improvement (QI). Since these are not major foci of residency programs, hospitalists may pursue a hospital medicine fellowship to acquire these skill sets.

OBJECTIVE

We sought to characterize the current state of hospital medicine fellowships in the United States, including demographics, clinical requirements, curricular focus, financial structure, and scholarly outputs. DESIGNS, SETTINGS, AND PARTICIPANTS: This was a cross-sectional study of 32 hospital medicine fellowship programs across the United States in 2020-2021. An electronic survey was emailed to program leaders.

RESULTS

Out of 32 eligible programs contacted, 19 (59.4%) programs responded, representing 22 fellowship tracks. Most (63.2%) programs have been in existence for 5 years or less. Fourteen (63.6%) of the tracks had multiple focus areas, while 8 (36.4%) had a single focus. Of the 14 fellowship tracks with multiple focus areas, 6 (42.8%) reported research, QI and medical education as curricular elements. All 14 reported research as one of the curricular elements. The majority (68.4%) of programs offered opportunities to obtain a master's degree, though the field of degree varied widely. A median of 50% (IQR 0) of fellows' time was spent in clinical activities. Considerable heterogeneity exists among adult hospital medicine fellowship programs. The majority focus on research, QI, and/or medical education. Hospital medicine fellowships offer opportunities for intesive faculty development and unique career pathways.

Extracorporeal Membrane Oxygenation Selection by Multidisciplinary Consensus: The ECMO Council

Coronavirus disease 2019 (COVID-19) has increased the demand for extracorporeal membrane oxygenation (ECMO) and introduced distinct challenges to patient selection for ECMO. Standardized processes for patient selection amidst resource limitations are lacking, and data on ECMO consults are underreported. We retrospectively reviewed consecutive adult ECMO consults for acute respiratory failure received at a single academic medical center from April 1, 2020, to February 28, 2021, and evaluated the implementation of a multidisciplinary selection committee (ECMO Council) and standardized framework for patient selection for ECMO. During the 334-day period, there were 202 total ECMO consults; 174 (86.1%) included a diagnosis of COVID-19. Among all consults, 157 (77.7%) were declined and 41 (20.3%) resulted in the initiation of ECMO. Frequent reasons for decline included the presence of multiple relative contraindications (n = 33), age greater than 60 years (n = 32), and resource limitations (n = 27). The ECMO Council deliberated on every case in which an absolute contraindication was not present (n = 96) via an electronic teleconference platform. Utilizing multidisciplinary consensus together with a standardized process for patient selection in ECMO is feasible during a pandemic and may be reliably exercised over time. Whether such an approach is feasible at other centers remains unknown.

Objective Impact of Hematology-Oncology Hospitalist Care in an Inpatient Setting

PURPOSE:

The utilization of the hospitalist care model has increased over the past decade because of improved cost-effectiveness, quality of care, and value that it provides. Studies have shown that compared with the traditional care model, use of hospitalists provides cost-saving and improved value to hospital systems. However, the data for the use of oncology hospitalists (ONC Hosp) are sparse. In this study, we investigate the impact of inpatient ONC Hosp on 30-day readmissions, length of stay (LOS), discharge to hospice, and inpatient mortality when compared with a traditional model where outpatient oncologists manage the acute issues of hospitalized patients with cancer.

METHODS:

Rhode Island Hospital hired ONC Hosps to attend on the inpatient oncology service. To determine the impact of this new patient care model, we performed a retrospective review of oncology patients admitted to Rhode Island Hospital between July 1, 2012, and June 30, 2018, and compared quality outcomes of 30-day readmission, LOS, discharge to hospice, and inpatient mortality to those from the traditional care model.

RESULTS:

Compared with outpatient oncologists care, care by ONC Hosp was associated with a significant decrease in 30-day readmissions (23.0% v 29.6%, P = .019) and a significant increase in discharge to hospice (18.1% v 12.1%, P < .001). No significant difference was detected between LOS ( P = .833) or inpatient mortality ( P = .332).

CONCLUSION:

This study shows that compared with the traditional care model, the use of ONC Hosps has a positive impact on patient care and the potential to add value to the hospital system.

Hospital mortality and length of stay differences in emergency medical admissions related to 'on-call' specialty

BACKGROUND

The outcomes of acute medical admissions have been shown to be influenced by a variety of factors including system, patient, societal, and physician-specific differences.

AIM

To evaluate the influence of on-call specialty on outcomes in acute medical admissions.

METHODS

All acute medical admissions to our institution from 2015 to 2020 were evaluated. Admissions were grouped based on admitting specialty. Thirty-day in-hospital mortality and length of stay (LOS) were evaluated. Data was analysed using multivariable logistic regression and truncated Poisson regression modelling.

RESULTS

There were 50,347 admissions in 30,228 patients. The majority of admissions were under Acute Medicine (47.0%), and major medical subspecialties (36.1%); Elderly Care admitted 12.1%. Acute Medicine admissions were older at 72.9 years (IQR 57.0, 82.9) vs. 67.2 years (IQR 50.1, 80.2), had higher Acute Illness Severity (grades 4-6: 85.9% vs. 81.3%; p < 0.001), Charlson Index (> group 0; 61.5% vs. 54.6%; p < 0.001), and Comorbidity Score (40.7% vs. 36.7%; p < 0.001). Over time, there was a small (+ 8%) but significant increase in 30-day in-hospital mortality. Mortality rates for Acute Medicine, major medical specialties, and Elderly Care were not different at 5.1% (95% CI: 4.7, 5.5), 4.7% (95% CI: 4.3, 5.1), and 4.7% (95% CI: 3.9, 5.4), respectively. Elderly Care admissions had shorter LOS (7.8 days (95% CI: 7.6, 8.0)) compared with either Acute Medicine (8.7 days (95% CI: 8.6, 8.8)) or major medical specialties (8.7 days (95% CI: 8.6, 8.9)).

CONCLUSION

No difference in mortality and minor differences in LOS were observed. The prior pattern of improved outcomes year on year for emergency medical admissions appears ended.

Outcomes of a Neurohospitalist Program at an Academic Medical Center

Background and Purpose

The purpose is to determine the impact of an academic neurohospitalist service on clinical outcomes.

Methods

We performed a retrospective, quasi-experimental study of patients discharged from the general neurology service before (August 2010–July 2014) and after implementation of a full-time neurohospitalist service (August 2016–July 2018) compared to a control group of stroke patients. Primary outcomes were length of stay and 30-day readmission. Using the difference-in-difference approach, the impact of introducing a neurohospitalist service compared to controls was assessed with adjustment of patients’ characteristics. Secondary outcomes included mortality, in-hospital complications, and cost.

Results

There were 2706 neurology admissions (1648 general; 1058 stroke) over the study period. The neurohospitalist service was associated with a trend in reduced 30-day readmissions (ratio of ORs: .52 [.27, .98], P = .088), while length of stay was not incrementally changed in the difference-in-difference model (-.3 [-.7, .1], P = .18). However, descriptive results demonstrated a significant reduction in mean adjusted LOS of .7 days (4.5 to 3.8 days, P < .001) and a trend toward reduced readmissions (8.9% to 7.6%, P = .42) in the post-neurohospitalist cohort despite a significant increase in patient complexity, shift to higher acuity diagnoses, more emergent admissions, and near quadrupling of observation status patients. Mortality and in-hospital complications remained low, patient satisfaction was stable, and cost was not incrementally changed in the post-neurohospitalist cohort.

Conclusions

Implementation of a neurohospitalist service at an academic medical center is feasible and associated with a significant increase in patient complexity and acuity and a trend toward reduced readmissions.

Rates of Adverse Events in Hospitalized Patients After Summer-Time Resident Changeover in the United States: Is There a July Effect?

OBJECTIVES

This study aimed to determine whether patients in teaching hospitals are at higher risk of suffering from an adverse event during the summer trainee changeover period.

METHODS

We performed a retrospective analysis of data from the Medicare Patient Safety Monitoring System, a medical-record abstraction-based database in the United States. Hospital admissions from 2010 to 2017 for acute myocardial infarction, heart failure, pneumonia, or a major surgical procedure were studied. Admissions were divided into nonsurgical (acute myocardial infarction, heart failure, or pneumonia) and surgical. Adverse event rates in July/August were compared with the rest of the year. Hospitals were stratified into major teaching, minor teaching, or nonteaching. Results were adjusted for patient demographics, comorbidities, and hospital characteristics. Outcomes were the adjusted odds of having at least 1 adverse event in July/August versus the rest of the year.

RESULTS

We included 185,652 hospital admissions. The adjusted odds ratios (ORs) of suffering from at least one adverse event in a major teaching hospital in July/August was 0.83 (95% confidence interval [CI], 0.69-0.98) for nonsurgical patients and 1.09 (95% CI, 0.84-1.40) for surgical patients. In minor teaching hospitals, the adjusted ORs were 0.96 (95% CI, 0.88-1.04) for nonsurgical patients and 0.99 (95% CI, 0.87-1.12) for surgical patients. In nonteaching hospitals, the adjusted ORs were 0.98 (95% CI, 0.91-1.06) for nonsurgical patients and 1.10 (95% CI, 0.96-1.24) for surgical patients.

CONCLUSIONS

Patients admitted to teaching hospitals in July/August are not at increased risk of adverse events. These findings should reassure patients and medical educators that patients are not excessively endangered by admission to the hospital during these months.

"Physician Advocates": a novel strategy for improving the value of hospital care by employing hospitalists part time to support non-hospitalist physicians

BACKGROUND AND OBJECTIVE

At many hospitals, private-practice physicians still admit their own patients and are accustomed to autonomy in clinical practice. This creates challenges for hospital's efforts to improve the efficiency, quality, and value of care. Experienced inpatient-focused physicians-"Physician Advocates"-could act as liaisons between private practitioners and the fast-paced inpatient microsystem.

METHODS

We conducted a controlled pre-post ("differences-in-differences") analysis at an academic medical center where private-practice physicians care for about 40% of medical inpatients and hospitalist groups care for 60%. In the intervention, "Physician Advocates" participated in daily multidisciplinary "Progression of Care Rounds," offering suggestions to increase care quality for private-practice physicians' patients. Controls were cared for by a large, well-established hospitalist group, which convened separate, unchanged multidisciplinary rounds. Outcomes were length of stay (LOS; primary outcome), 30-day readmissions, and inpatient mortality.

RESULTS

In a risk-adjusted analysis of 31,632 medical inpatients, LOS declined by 4 hours more from the baseline period to the post-intervention period in the intervention group relative to the control group (ratio: 0.96, 95% CI: 0.93-0.99, p=0.004). Readmissions declined 22% more in the intervention group (OR: 0.78, 95% CI: 0.63-0.97, p=0.023). Mortality was unchanged (OR: 1.23, 95% CI: 0.78-1.93 p-value=0.378).

CONCLUSION

Among inpatients cared for by private practitioners, adding Physician Advocates to multidisciplinary rounds was associated with improved LOS and reduced readmissions-measures of efficiency and value. The Physician Advocates approach should be tested in diverse health systems because it allows hospitals to leverage the expertise of on-site clinicians while respecting the traditional private-practice care model, in which primary care physicians manage their hospitalized patients.

The Association between the Establishment of a General Internal Medicine Department and an Increased Number of Blood Cultures in Other Departments: An Interrupted Time Series Analysis

Objective The establishment of a department of general internal medicine (GIM) has been shown to improve the clinical outcomes among patients treated in GIM departments but the effect on practice patterns in other departments remains unclear. We evaluated the association between the establishment of a GIM department and the use of blood cultures, an indicator of quality of care of infectious diseases, in other departments. Methods This study was conducted between 2013 and 2017 in a community hospital which established a new GIM department in 2015, with a mandate to improve the quality of care of the hospital including infectious disease management. The primary outcome was the change in the number of blood culture episodes per calendar month in other departments before and after establishment of the GIM department. The secondary outcome was the change in the blood culture episodes per month, indexed to 1,000 patient-days, during the same time. Using 2015 as the phase-in period, interrupted time series analyses were used to evaluate the change in the outcome variables. Results In departments other than GIM, there were 284 blood cultures prior to the establishment of the GIM department (2013-2014) and 853 afterwards (2016-2017). The number of blood culture episodes in other departments increased by 10.7 (95%CI: 0.39-21.0, p=0.042) per calendar month after the establishment of the GIM department; blood culture episodes/calendar month/1,000 patient-days increased by 0.55 (95%CI: 0.03-1.07 p=0.037). Conclusion These results indicate that a GIM department in a community hospital can improve the quality of care in other departments.

Determinants of inpatient satisfaction: evidence from Switzerland

PURPOSE

A common way to handle quality problems and increasing costs of modern health care systems is more transparency through public reporting. Thereby, patient satisfaction is seen as one main reported outcome. Previous studies proposed several associated factors. Only a few of them included organizational determinants with potential to inform the health care provider's management. Therefore, the aim of this study was to investigate the influence of organizational contingency factors on patient satisfaction.

DESIGN/METHODOLOGY/APPROACH

As a case, Switzerland's inpatient rehabilitation sector was used. Therein, a cross-sectional study of public released secondary data with an exploratory multiple linear regression (MLR) modeling approach was conducted.

FINDINGS

Five significant influencing factors on patient satisfaction were found. They declared 42.2% of the variance in satisfaction on provider level. The organizations' supplementary insured patients, staff payment, outpatients, extracantonal patients and permanent resident population revealed significant correlations with patient satisfaction.

RESEARCH LIMITATIONS/IMPLICATIONS

Drawing on publicly available cross-sectional data, statistically no causality can be proved. However, integration of routine data and organization theory can be useful for further studies.

PRACTICAL IMPLICATIONS

Regarding inpatient satisfaction, improvement levers for providers' managers are as follow: first, service provision should be customized to patients' needs, expectations and context; second, employees' salary should be adequate to prevent dissatisfaction; third, the main business should be prioritized to avoid frittering.

ORIGINALITY/VALUE

Former studies regarding public reporting are often atheoretical and rarely used organizational variables as determinants for relevant outcomes. Therefore, uniformed data are useful.

Characteristics of the ideal hospitalist inpatient care program: perceptions of Canadian health system leaders

Background

Despite the growing prevalence of hospitalist programs in Canada, it is not clear what program features are deemed desirable by administrative and medical leaders who oversee them. We aimed to understand perceptions of a wide range of healthcare administrators and frontline providers about the implementation and necessary characteristics of a hospitalist service.

Methods

We conducted semi-structured interviews with a range of administrators, medical leaders and frontline providers across three hospital sites operated by an integrated health system in British Columbia, Canada.

Results

Most interviewees identified the hospitalist model as the ideal inpatient care service line, but identified a number of challenges. Interviewees identified the necessary features of an ideal hospitalist service to include considerations for program design, care and non-clinical processes, and alignment between workload and physician staffing. They also identified continuity of care as an important challenge, and underlined the importance of communication as an important enabler of implementation of a new hospitalist service.

Conclusions

Most hospital administrators and frontline providers in our study believed the hospitalist model resulted in improvements in clinical processes and work environment.

Clinical and Epidemiological Characterization of Neurological Consults: When a Neurological Evaluation Is Requested

Background and Objectives

Medical consultation by a specialist physician consists of an evaluation to review diagnosis and management of patients with some neurological conditions referred from other specialty wards. This mode of care delivery has gained relevance in the field of neurology and adequate training on it is valuable, allowing neurologists to provide state-of-the-art management to patients with neurological manifestations. The present study aimed to characterize neurology consults and to discuss the roles of the neurologist within a hospital setting.

Methods

A prospective analysis of neurological consultations provided to inpatients of a university hospital in São Paulo, Brazil, was performed from September 2016 to September 2017. These patients were followed by the principal investigator, who was not involved in their care.

Results

We evaluated data from 117 female and 106 male inpatients with a mean age of 53.8 ± 2.4. The medical specialties that most frequently requested neurological consultations were Internal Medicine (17%), Cardiology (11.2%) and Pulmonology (9.4%). The main reasons for a neurology consultation request were seizures (15.6%); decreased level of consciousness (8.9%) and confusion (7.1%). The most frequent diagnosis in patients receiving a neurology consult were stroke (10.2%); hypoxic-ischemic encephalopathy (5.3%) and sepsis (2.2%).

Conclusion

Our findings show the growing importance of the role of neurologists within hospital settings as many medical conditions present with neurological manifestations and the significance of the neurohospitalist model of care.

Implementing a Telehospitalist Program Between Veterans Health Administration Hospitals: Outcomes, Acceptance, and Barriers to Implementation

BACKGROUND

Telehospitalist services are an innovative alternative approach to address staffing issues in rural and small hospitals.

OBJECTIVE

To determine clinical outcomes and staff and patient satisfaction with a novel telehospitalist program among Veterans Health Administration (VHA) hospitals.

DESIGN, SETTING, AND PARTICIPANTS

We conducted a mixed-methods evaluation of a quality improvement program with pre- and postimplementation measures. The hub site was a tertiary (high-complexity) VHA hospital, and the spoke site was a 10-bed inpatient medical unit at a rural (low-complexity) VHA hospital. All patients admitted during the study period were assigned to the spoke site.

INTERVENTION

Real-time videoconferencing was used to connect a remote hospitalist physician with an on-site advanced practice provider and patients. Encounters were documented in the electronic health record.

MAIN OUTCOMES

Process measures included workload, patient encounters, and daily census. Outcome measures included length of stay (LOS), readmission rate, mortality, and satisfaction of providers, staff, and patients. Surveys measured satisfaction. Qualitative analysis included unstructured and semi-structured interviews with spoke-site staff.

RESULTS

Telehospitalist program implementation led to a significant reduction in LOS (3.0 [SD, 0.7] days vs 2.3 [SD, 0.3] days). The readmission rate was slightly higher in the telehospitalist group, with no change in mortality rate. Satisfaction among teleproviders was very high. Hub staff perceived the service as valuable, though satisfaction with the program was mixed. Technology and communication challenges were identified, but patient satisfaction remained mostly unchanged.

CONCLUSION

Telehospitalist programs are a feasible and safe way to provide inpatient coverage and address rural hospital staffing needs. Ensuring adequate technological quality and addressing staff concerns in a timely manner can enhance program performance.

Factors associated with optimal patient outcomes after operative repair of isolated hip fractures in the elderly

BACKGROUND

Increased time to operative intervention is associated with a greater risk of mortality and complications in adults with a hip fracture. This study sought to determine factors associated with timeliness of operation in elderly patients presenting with an isolated hip fracture and the influence of surgical delay on outcomes.

METHODS

Trauma quality collaborative data (July 2016 to June 2019) were analyzed. Inclusion criteria were patients ≥65 years with an injury mechanism of fall, Abbreviated Injury Scale (AIS) 2005 diagnosis of hip fracture, and AIS extremity ≤3. Exclusion criteria included AIS in other body regions >1 and non-operative management. We examined the association of demographic, hospital, injury presentation, and comorbidity factors on a surgical delay >48 hours and patient outcomes using multivariable regression analysis.

RESULTS

10 182 patients fit our study criteria out of 212 620 patients. Mean age was 82.7±8.6 years and 68.7% were female. Delay in operation >48 hours occurred in 965 (9.5%) of patients. Factors that significantly increased mortality or discharge to hospice were increased age, male gender, emergency department hypotension, functionally dependent health status (FDHS), advanced directive, liver disease, angina, and congestive heart failure (CHF). Delay >48 hours was associated with increased mortality or discharge to hospice (OR 1.52; 95% CI 1.13 to 2.06; p<0.01). Trauma center verification level, admission service, and hip fracture volume were not associated with mortality or discharge to hospice. Factors associated with operative delay >48 hours were male gender, FDHS, CHF, chronic renal failure, and advanced directive. Admission to the orthopedic surgery service was associated with less incidence of delay >48 hours (OR 0.43; 95% CI 0.29 to 0.64; p<0.001).

DISCUSSION

Hospital verification level, admission service, and patient volume did not impact the outcome of mortality/discharge to hospice. Delay to operation >48 hours was associated with increased mortality. The only measured modifiable characteristic that reduced delay to operative intervention was admission to the orthopedic surgery service.

LEVEL OF EVIDENCE

III.

Compliance With Evidence-Based Processes of Care After Transitions Between Staff Intensivists

OBJECTIVES

We sought to evaluate the impact of transitions of care among staff intensivists on the compliance with evidence-based processes of care.

DESIGN

Cohort study using data from the Toronto Intensive Care Observational Registry.

SETTING

Seven academic ICUs in Toronto, Ontario.

PATIENTS

Critically ill mechanically ventilated adult patients.

INTERVENTIONS

We explored the effects of the weekly transition of care among staff intensivists on compliance with three evidence-based processes of care (spontaneous breathing trials, lung-protective ventilation, and neuromuscular blocking agents). Two practices that are less guided by evidence (early discontinuation of antibiotics and extubation attempts) served as positive controls. We conducted the analysis using generalized estimating equations to account for clustering at the patient level.

MEASUREMENTS AND MAIN RESULTS

The cohort consisted of 10,570 patients admitted between June 2014 and August 2018. Compliance varied for each practice (63.6%, 42.5%, and 21.1% for lung-protective ventilation, spontaneous breathing trials, and neuromuscular blockade, respectively). There was no effect of transitions of care on compliance with spontaneous breathing trials (odds ratio, 1.00; 95% CI, 0.95-1.07), lung-protective ventilation (odds ratio, 1.07, 95% CI, 0.90-1.26), or neuromuscular blockade use (odds ratio, 0.95; 95% CI, 0.75-1.20). However, early antibiotic discontinuation was more likely (odds ratio, 1.23; 95% CI, 1.06-1.42) and extubation attempts were less frequent (odds ratio, 0.77; 95% CI, 0.65-0.93) after a transition of care.

CONCLUSIONS

We observed no significant impact of transitions of care between individual staff physicians on evidence-based processes of care for mechanically ventilated adult patients. However, transitions were associated with a lower likelihood of extubation and higher odds of earlier discontinuation of antibiotics.

Hospitalists, two decades later: Which US hospitals utilize them?

Hospitalists, or specialists of hospital medicine, have long been practicing in Canada and Europe. However, it was not until the mid-1990s, when hospitals in the U.S. started widespread adoption of hospitalists. Since then, the number of hospitalists has grown exponentially in the U.S. from a few hundred to over 50,000 in 2016. Prior studies on hospitalists have well documented benefits hospitals gain from adopting this innovative staffing strategy. However, there is a dearth of research documenting predictors of hospitals' adoption of hospitalists. To fill this gap, this longitudinal study (2003-2015) purposes to determine organizational and market characteristics of U.S. hospitals that utilize hospitalists. Our findings indicate that private not-for-profit, system affiliated, teaching, and urban hospitals, and those located in higher per capita income markets have a higher probability of utilizing hospitalists. Additionally, large or medium, profitable hospitals, and those that treat sicker patients have a higher probability of adoption. Finally, hospitals with a high proportion of Medicaid patients have a lower probability of utilizing hospitalists. Our results suggest that hospitals with greater slack resources and those located in munificent counties are more likely to use hospitalists, while their under-resourced counterparts may experience more barriers in adopting this innovative staffing strategy.

Perceived Need and Potential Applications of a Telehospitalist Service in Rural Areas

Background: Rural hospitals struggle to staff inpatient services and may not have the clinical expertise to achieve optimal outcomes. Telehospitalist services could address these problems by bringing hospital medicine expertise to rural communities. Introduction: Veterans Health Administration (VHA) rural hospitals need staffing alternatives to address gaps in inpatient coverage. This needs assessment identified perceived need for telehospitalist services as well as potential applications, benefits, and barriers from an administration perspective. Materials and Methods: We used a rapid qualitative assessment approach based on semistructured interviews with 15 physician administrators at 12 rural and low-complexity hospitals in VHA in 2018. Results: We identified a range of needs that could be addressed by telehospitalist services, including direct care delivery, support for local providers, and on-demand coverage to fill staffing gaps. Potential benefits included cost reductions, improved care quality, education, and addressing feelings of insular practice. Potential barriers included provider buy-in, cost, and technological limitations. Discussion: Our findings suggest that telehospitalist services could address inpatient coverage gaps, but with a range of views on how the service could be deployed. Telehospitalist services providing intermittent coverage could meet unmet clinical needs at appropriate economies of scale. Administrators were enthusiastic about applying innovative inpatient telemedicine initiatives, but perceived staff reluctance. The dynamic and multidisciplinary nature of inpatient care requires program acceptance at multiple levels, which may account for why it traditionally lags behind outpatient telemedicine. Conclusions: Rural hospital physician administrators perceived telehospitalist models as a viable option to address staffing needs and improve quality of care.

Perceptions of Telehospitalist Services to Address Staffing Needs in Rural and Low Complexity Hospitals in the Veterans Health Administration

PURPOSE

Rural hospitals are disproportionally affected by physician shortages and struggle to staff inpatient services. Telemedicine presents an opportunity to address staffing problems and bring the advantages of hospital medicine to rural areas.

METHODS

In this study we surveyed administrators from 34 rural and low complexity hospitals in the Veterans Health Administration (VHA) to evaluate staffing needs and perceptions of a potential telehospitalist service.

FINDINGS

Of the 25 respondent facilities (74% response rate), 96% reported vacancies that resulted in staffing difficulties within the last 3 years and 84% relied on intermittent providers to staff their inpatient services in the last year. Almost two-thirds of respondents thought that a telehospitalist service could help address their staffing needs and 72% were interested in participating in a pilot program.

CONCLUSIONS

The results of this study corroborate staffing challenges in rural hospitals within VHA and support the use of alternative staffing models like a telehospitalist service to address intermittent and long-term staffing needs.

Outcomes in acute medicine - Evidence from extended observations on readmissions, hospital length of stay and mortality outcomes

BACKGROUND

The Acute Medical Admission Unit (AMAU) model of care has been widely deployed, we examine changes in hospital readmission rates, length of stay (LOS) and 30-day in-hospital mortality over 16 years.

METHODS

All emergency medical admissions between 2002 and 2017 were examined. We assessed 30-day in-hospital mortality, readmission rates, and LOS using logistic regression and margins statistics modelled outcomes against predictor variables.

RESULTS

There were 106,586 admissions in 54,928 patients over 16 years. Calculated per patient the 30-day in-hospital mortality was 8.9% (95%CI 8.6% to 9.2%) and showed a relative risk reduction (RRR) of 61.1% from 12.4% to 4.8% over the 16 years (p = .001). Calculated per admission the 30-day in-hospital mortality was 4.5% (95%CI 4.4% to 4.6%) with a RRR of 31.9% from 2002 to 2017. Over this extended period 48.7% of patients were readmitted at least once, 9.3% >5 times and 20 patients >50 times each. The median LOS was 5.9 days (IQR 2.4, 12.9) with no trend of change over time. Total readmissions increased as a time dependent function; early readmissions (<4 weeks) fluctuated without time trend at 10.5% (95%CI 9.6 to 11.3). A logistic regression model described the hospital LOS as a linear function both of comorbidity and the utilisation of inpatient procedures and services.

CONCLUSION

30-day in-hospital mortality showed a linear trend to reduce over time at unaltered LOS and readmission rates. LOS showed linear dependency on clinical complexity; interventions aimed at reducing LOS may not be appropriate beyond a certain point.

Persuasive speech in multi-professional change facilitation meetings

Purpose

The purpose of this paper is to describe persuasive speech and discourses in multi-professional organizational change facilitation meetings at a hospital through rhetorical discourse analysis. Previous research has often considered organizational change to be a managerial issue, with other employees given the rather passive role of implementators. This study takes an alternative approach in assuming that organizational change could benefit by involving those who are most familiar with the tasks to be changed.

Design/methodology/approach

The study employed a qualitative, case study approach and focused on the construction of a hospitalist model within multi-professional change facilitation meetings. Eight videos of these multi-professional change facilitation meetings – which occurred between January and September 2017 – were observed and the material was analyzed by rhetorical discourse analysis. An average of 10–20 actors from different professional groups participated in the meetings. The change actors comprised physicians, nursing staff and nursing managers, along with a secretary and hospitalist. The meetings were conducted by a change facilitator.

Findings

The persuasive speech in the analyzed organizational change meetings occurred within five distinct discourses: constructing the change together, positive feedback, strategic change in speech, patient perspective and driving change. The content of these discourses revealed topics that are relevant to persuading members of healthcare organizations to adopt a planned change.

Originality/value

The presented research provides new knowledge about how persuasive speech is used in organizational change and describes the discourses in which persuasive speech is used in a healthcare context.

Physician-Level Variation in Outcomes of Mechanically Ventilated Patients

RATIONALE

Physicians are increasingly being held accountable for patient outcomes, yet their specific contribution to the outcomes remains uncertain.

OBJECTIVES

To determine variation in outcomes of mechanically ventilated patients among intensivists, as well as associations between intensivist experience and patient outcomes.

METHODS

We performed a retrospective cohort study of mechanically ventilated Medicare fee-for-service patients in acute care hospitals in Pennsylvania using administrative, clinical, and physician data from Centers for Medicare and Medicaid Services and the American Medical Association from 2008 and 2009. We identified intensivists by training background, board certification, and claims for services provided to patients admitted to an intensive care unit. We assigned patients to intensivists for outcome attribution based on submitted claims for critical care and in-patient services. We estimated the physician-specific adjusted odds ratios (ORs) for 30-day mortality using a hierarchical model with a random effect for physician, adjusted for patient and hospital characteristics. We tested for independent association of physician experience with patient outcomes using mixed-effects regression for the primary outcome of 30-day mortality. We defined physician experience in two ways: years since training completion ("duration") and annual number of mechanically ventilated patients ("volume").

RESULTS

We assigned 345 physicians to 11,268 patients. The 30-day mortality was 43% and median hospital length of stay was 11 days (interquartile range = 6-18). The physician adjusted OR varied from 0.72 to 1.64 (median = 0.99; interquartile range = 0.92-1.09). A total of 48% of physicians was outliers, with an adjusted OR significantly different from 1. However, among intensivists, physician experience was not associated with 30-day mortality (duration OR = 1.00 per additional year; 95% confidence interval = 1.00-1.01; volume OR = 1.00 per additional patient; 95% confidence interval = 1.00-1.00).

CONCLUSIONS

Intensivists independently contribute to outcomes of Medicare patients who undergo mechanical ventilation, as evidenced by the variation in risk-adjusted mortality across intensivists. However, physician experience does not underlie this relationship between intensivists, suggesting the need to identify modifiable physician factors to improve outcomes.

Family Medicine Patients Have Shorter Length of Stay When Cared for on a Family Medicine Inpatient Service

Introduction: Hospitalists have been shown to have shorter lengths of stays than physicians with concurrent outpatient practices. However, hospitalists at academic medical centers may be less aware of local resources that can support the hospital to home transition for local primary care patients. We hypothesized that local family medicine patients admitted to a family medicine inpatient service have shorter length of stay than those admitted to general hospitalist services which also care for tertiary patients at an academic medical center. Methods: A retrospective cohort study was conducted at an academic medical center with a department of family medicine providing primary care to over 80 000 local patients. A total of 3100 consecutive family medicine patients admitted to either the family medicine inpatient service or a general medicine inpatient service over 3 years were studied. The primary outcome was length of stay, which was adjusted using multivariate linear regression for demographics, prior utilization, diagnosis, and disease severity. Results: Adjusted length of stay was 33% longer (95% CI 24%-44%) for local family medicine patients admitted to general medicine inpatient services as compared with the family medicine inpatient service. Readmission rates within 30 days were not different (19% vs 16%, P = .14). Conclusions: Local primary care patients were safely discharged from the hospital sooner on the family medicine inpatient service than on general medicine inpatient services. This is likely because the family physicians staffing their inpatient service are more familiar with outpatient resources that can be effectively marshaled to help local patients with the transition from hospital to home.

Adverse Events and Patient Outcomes Among Hospitalized Children Cared for by General Pediatricians vs Hospitalists

IMPORTANCE

Pediatric hospital medicine is a relatively new and growing specialty. However, research remains inconclusive on outcomes for inpatients cared for by pediatric hospitalists compared with those cared for by general pediatricians.

OBJECTIVE

To analyze outcomes, adverse events (AEs), and types of AEs associated with care provided for pediatric patients by hospitalists vs general pediatricians.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used data from the medical records of a US urban academic children's hospital comprising 1423 hospitalizations between January 1, 2009, and August 31, 2015, for 57 diagnoses of patients cared for by either a hospitalist or general pediatrician. General pediatricians worked primarily in the hospital's outpatient clinic, serving a few inpatient weeks per year, and were not the patients' primary care physician. Data analysis was performed from July 1, 2017, to October 10, 2018.

MAIN OUTCOMES AND MEASURES

Outcomes were length of stay, total costs, 30-day readmission rates, and AEs. Adverse events were documented by International Classification of Diseases, Ninth Revision, Clinical Modification codes determined by review of medical records. Adverse event categories were drug events, infections, and device-related AEs. Generalized linear models were used to analyze patient outcomes, with standard errors clustered by physician. Models were adjusted for patient characteristics, including Chronic Condition Indicators. Models were estimated with and without adjustment for physician characteristics.

RESULTS

The data set contained 1423 hospitalizations among 726 female patients and 697 male patients (mean [SD] age, 6.1 [6.3] years). Hospitalists cared for 870 patients, and general pediatricians cared for 553 patients. Among the physicians, there were 57 women and 38 men; physicians were a mean (SD) 11.1 (8.1) years out of medical school. Patients cared for by general pediatricians were younger than those cared for by hospitalists (mean [SD] age, 5.4 [6.0] vs 6.5 [6.4] years; P = .001) but had similar mean (SD) Chronic Condition Indicator scores (1.5 [1.0] vs 1.5 [1.0]). A total of 33 of 56 general pediatricians (58.9%) and 24 of 39 hospitalists (61.5%) were women (P = .006), and general pediatricians were in practice twice as long as hospitalists on average (mean [SD], 16.0 [10.3] vs 7.9 [3.8] years out of medical school; P < .001). In multivariate models adjusting for patient-level features, there were no significant differences between general pediatricians and hospitalists for mean length of stay (4.7 vs 4.6 days), total costs ($14 490 vs $15 200), and estimated 30-day readmission rate (8.9% vs 6.4%), and results were similar with adjustments for physician characteristics. Device-related AEs were higher among hospitalists (3.0% vs 1.1%; odds ratio, 0.34; 95% CI, 0.12-1.00); this association became nonsignificant after adjusting for physician experience.

CONCLUSIONS AND RELEVANCE

General pediatrician and hospitalist inpatient care had similar length of stay, total costs, and readmission rates. However, AEs differed between hospitalists and general pediatricians, with device-related AEs more common among hospitalists, which may be associated with hospitalists' fewer years in practice. Such findings can inform hospitals in planning their inpatient staffing and patient safety oversight.

Improved Perioperative Care of Elective Joint Replacement Patients: The Impact of an Orthopedic Perioperative Hospitalist

BACKGROUND

We developed an orthopedic hospitalist fellowship program for our total joint replacement program at a large urban academic medical center. The goal of the program was to improve patient outcomes, quality, and healthcare value through collaborative perioperative care and improved care coordination. This study evaluates the implementation and impact of our modified Hospitalist-Orthopaedic Team Co-management model on quality and performance metrics.

METHODS

We reviewed our Quality Institute data using 3 databases for the 16 months before (PreOH) and 18 months after (PostOH) implementation. Procedural volume was identical during period 1 (1100 cases) vs period 2 (1119 cases). Metrics included mean LOS (length of stay), % patients discharged home, mean observed and expected LOS and LOS index, LOS variance, % ICU (intensive care unit) admissions, mean ICU days, % cases with complications, % mortality, 30-day readmission rate, and Hospital Consumer Assessment of Healthcare Providers and Systems scores. Statistical analysis was performed using the software imbedded in the database software.

RESULTS

Statistically significant improvements occurred in multiple performance and quality metrics including mean hospital LOS for total knee replacement, percentage of total knee replacement patients discharged home, and percentage of patients discharged home for primary total hip arthroplasty, complication rate, and 30-day readmission rate. Reductions in % ICU admission and ICU LOS were seen but not statistically significant. HCAPHS scores improved in 6 of 8 categories, and was statistically significant in 3 of 8.

CONCLUSION

The results of this study demonstrate that the modified Hospitalist-Orthopaedic Team Co-management model described above improves quality, cost effectiveness, and value for elective total joint replacement patients in comparison to the traditional consultation only model.

Hospitals' use of hospitalists: Implications for financial performance

BACKGROUND

Hospitalists, or physicians specializing in hospital-based practice, have grown significantly since they were first introduced in the United States in the mid-1990s. Prior studies on the impact of hospitalists have focused on costs and length of stay. However, there is dearth of research exploring the relationship between hospitals' use of hospitalists and organizational performance.

PURPOSE

Using a national longitudinal sample of acute care hospitals operating in the United States between 2007 and 2014, this study explores the impact of hospitalists staffing intensity on hospitals' financial performance.

METHODOLOGY

Data sources for this study included the American Hospital Association Annual Survey, the Area Health Resources File, and the Centers for Medicare & Medicaid Services' costs reports and Case Mix Index files. Data were analyzed using a panel design with facility and year fixed effects regression.

RESULTS

Results showed that hospitals that switched from not using hospitalists to using a high hospitalist staffing intensity had both increased patient revenues and higher operating costs per adjusted patient day. However, the higher operating costs from high hospitalist staffing intensity were offset by increased patient revenues, resulting in a marginally significant increase in operating profitability (p < .1).

PRACTICE IMPLICATIONS

These findings suggest that the rise in the use of hospitalists may be fueled by financial incentives such as increased revenues and profitability in addition to other drivers of adoption.

Promoting mobility and reducing length of stay in hospitalized general medicine patients: A quality-improvement project

OBJECTIVE

To determine whether a multidisciplinary mobility promotion quality-improvement (QI) project would increase patient mobility and reduce hospital length of stay (LOS).

PATIENTS AND METHODS

Implemented using a structured QI model, the project took place between March 1, 2013 and March 1, 2014 on 2 general medicine units in a large academic medical center. There were 3352 patients admitted during the QI project period. The Johns Hopkins Highest Level of Mobility (JH-HLM) scale, an 8-point ordinal scale ranging from bed rest (score = 1) to ambulating ≥250 feet (score = 8), was used to quantify mobility. Changes in JH-HLM scores were compared for the first 4 months of the project (ramp-up phase) versus 4 months after project completion (post-QI phase) using generalized estimating equations. We compared the relative change in median LOS for the project months versus 12 months prior among the QI units, using multivariable linear regression analysis adjusting for 7 demographic and clinically relevant variables.

RESULTS

Comparing the ramp-up versus post-QI phases, patients reaching JH-HLM's ambulation status increased from 43% to 70% (P < 0.001), and patients with improved JH-HLM mobility scores between admission and discharge increased from 32% to 45% (P < 0.001). For all patients, the QI project was associated with an adjusted median LOS reduction of 0.40 (95% confidence interval [CI]: -0.57 to -0.21, P < 0.001) days compared to 12 months prior. A subgroup of patients expected to have a longer LOS (expected LOS >7 days), were associated with a significantly greater adjusted median reduction in LOS of 1.11 (95% CI: -1.53 to -0.65, P < 0.001) days. Increased mobility was not associated with an increase in injurious falls compared to 12 months prior on the QI units (P = 0.73).

CONCLUSIONS AND RELEVANCE

Active prevention of a decline in physical function that commonly occurs during hospitalization may be achieved with a structured QI approach. In an adult medicine population, our QI project was associated with improved mobility, and this may have contributed to a reduction in LOS, particularly for more complex patients with longer expected hospital stay. Journal of Hospital Medicine 2016. © 2016 Society of Hospital Medicine.

The Effects of a Hospitalist Comanagement Model for Joint Arthroplasty Patients in a Teaching Facility

BACKGROUND

The goal of this study was to compare postoperative medical comanagement of total hip arthroplasty and total knee arthroplasty patients using a hospitalist (H) and nonhospitalist (NH) model at a single teaching institution to determine the clinical and economic impact of the hospitalist comanagement.

METHODS

We retrospectively reviewed the records of 1656 patients who received hospitalist comanagement with 1319 patients who did not. The NH and H cohorts were compared at baseline via chi-square test for the American Society of Anesthesiologists classification, the t test for age, and the Wilcoxon test for the unadjusted Charlson Comorbidity Index score and the age-adjusted Charlson Comorbidity Index score. Chi-square test was used to compare the postoperative length of stay, readmission rate at 30 days after surgery, diagnoses present on admission, new diagnoses during admission, tests ordered postoperatively, total direct cost, and discharge location.

RESULTS

The H cohort gained more new diagnoses (P < .001), had more studies ordered (P < .001), had a higher cost of hospitalization (P = .002), and were more likely to be discharged to a skilled nursing facility (P < .001). The H cohort also had a lower length of stay (P < .001), but we believe evolving techniques in both pain control and blood management likely influenced this. There was no significant difference in readmissions.

CONCLUSION

Any potential benefit of a hospitalist comanagement model for this patient population may be outweighed by increased cost.

Measuring patient experiences on hospitalist and teaching services: Patient responses to a 30-day postdischarge questionnaire

BACKGROUND

Data comparing patient experiences between general medicine teaching and nonteaching hospitalist services are lacking.

OBJECTIVE

Evaluate hospitalized patients' experience on general medicine teaching and nonteaching hospitalist services by assessing patients' confidence in their ability to identify their physician(s), understand their roles, and their rating of the coordination and overall care.

METHODS

Retrospective cohort analysis of general medicine teaching and nonteaching hospitalist services from 2007 to 2013 at an academic medical center. Patients were surveyed 30-days after hospital discharge regarding their confidence in their ability to identify their physician(s), understand the role of their physician(s), and their perceptions of coordination and overall care. A 3-level, mixed effects logistic regression was performed to ascertain the association between service type and patient-reported outcomes.

RESULTS

Data from 4591 general medicine teaching and 1811 nonteaching hospitalist service patients demonstrated that those cared for by the hospitalist service were more likely to report being able to identify their physician (50% vs 45%, P < 0.001), understand their role (54% vs 50%, P < 0.001), and rate greater satisfaction with coordination (68 vs 64%, P = 0.006) and overall care (73% vs 67%, P < 0.001). In regression models, the hospitalist service was associated with higher ratings in overall care (odds ratio [OR]: 1.33; 95% confidence interval [CI]: 1.15-1.47), even when hospitalists were the attendings on general medicine teaching services (OR: 1.17; 95% CI: 1.01-1.31).

CONCLUSION

Patients on a nonteaching hospitalist service rated their overall care slightly better than patients on a general medicine teaching service. Team structure and complexity may play a role in this difference.

Hospitalists, value and the future

Health systems face increasing pressure to optimise value: providing the best quality care for the lowest possible cost. In the US, changes in modern healthcare, along with early efforts to contain costs, fuelled the growth of a new cadre of inpatient clinicians known as hospitalists. This commentary briefly reviews the history of the hospitalist movement through the lens of healthcare value, examines the evidence for value improvement in the care and training provided by hospitalists, and concludes by exploring both the lessons learned and remaining challenges facing hospitalists. We believe that openness to challenging the status quo was a critical enabler of the US hospitalist's impact on both the healthcare workforce and the American care delivery model. This spirit of re-engineering has far-reaching implications, both in the USA and abroad.

Impact of an Overnight Internal Medicine Academic Hospitalist Program on Patient Outcomes

BACKGROUND

Many academic hospitals have implemented overnight hospitalists to supervise house staff and improve outcomes, but few studies have described the impact of this role.

OBJECTIVE

To investigate the effect of an overnight academic hospitalist program on patient-level outcomes. Secondary objectives were to describe the program's revenue generation and work tasks.

DESIGN

Retrospective interrupted time-series analysis of patients admitted to the medicine service before and after implementation of the program.

PARTICIPANTS

All patients aged 18 and older admitted to the acute or intermediate care units between 7:00 p.m. and 6:59 a.m. during the period before (April 2011-August 2012) and after (September 2012-April 2014) program implementation.

INTERVENTION

An on-site attending-level physician directly supervising medicine house staff overnight, providing clinical care during high-volume periods, and ensuring safe handoffs to daytime providers.

MAIN MEASURES

Primary outcomes included in-hospital mortality, 30-day hospital readmissions, length of stay, and upgrades in care on the night of admission and during hospitalization. Multivariable models estimated the effect on outcomes after adjusting for secular trends. Revenue generation and work tasks are reported descriptively.

KEY RESULTS

During the study period, 6484 patients were admitted to the medicine service: 2722 (42 %) before and 3762 (58 %) after implementation. No differences were found in mortality (1.1 % vs. 0.9 %, p=0.38), 30-day readmissions (14.8 % vs. 15.6 %, p=0.39), mean length of stay (3.09 vs. 3.08 days, p=0.86), or upgrades to intensive care on the night of admission (0.4 % vs. 0.7 %, p=0.11) or during hospitalization (3.5 % vs. 4.2 %, p=0.20). During the first year, hospitalists billed 1209 patient encounters (3.3/shift) and 63 procedures (0.2/shift), and supervised 1939 patient admissions (6.12/shift) while supervising house staff 3-h/shifts.

CONCLUSIONS

Implementation of an overnight academic hospitalist program showed no impact on several important clinical outcomes, and revenue generation was modest. As overnight hospitalist programs develop, investigations are needed to delineate the return on investment and focus on other outcomes that may be more sensitive to change, such as errors and provider/patient satisfaction.

Type of attending physician influenced feeding tube insertions for hospitalized elderly people with severe dementia

Striking variation has been documented in the rates of feeding tube insertion for hospitalized patients with advanced dementia. This occurs despite the harms of the procedure, which may outweigh its benefits, and the procedure's inconsistency with care focused on the patient's comfort. Among nursing home residents with advanced dementia who were hospitalized in 2001-10 with an infection or dehydration, we found that rates of insertion of a percutaneous endoscopic gastrostomy feeding tube varied by type of attending physician. Insertion rates were markedly lower when all of a patient's attending physicians were hospitalists (1.6 percent) or nonhospitalist generalists (2.2 percent), compared to all subspecialists (11.0 percent) or a mixture of physicians by type, which typically included a subspecialist (15.6 percent). The portion of patients seen by a mixture of attending physicians increased from 28.9 percent in 2001 to 38.3 percent in 2010. Efforts to improve decision making in the care of patients with advanced dementia should include interventions to improve communication among physicians and the education of subspecialists about the merits of using feeding tubes with this population.

Consultant duration of clinical practice as a cost determinant of an emergency medical admission

BACKGROUND

Little data exists relating years of hospital consultant work experience, from time of consultant certification, and costs incurred for emergency medical patients under their care. We examined the total cost of emergency medical episodes in relation to certified consultant years experience using a database of emergency admissions.

METHODS

All emergency admissions (19,295 patients) from January 2008 to December 2012 were studied. Consultants were categorized by total years of certified experience according to four experience categories (< 15, 15-20, > 20 to ≤ 25, and > 25 years). Costs per case calculations included all pay, non-pay, and diagnostic/support infra-structural costs. We used quantile regression analysis to examine the impact of predictor variables on total costs over the predictor distribution and logistic regression on outcomes and costs, adjusting for other major predictors of cost.

RESULTS

Major predictors of costs were identified. Quantile regression cost parameter estimates of hospital episode costs decreased with experience; the unit change at the Q25 point of the years experience distribution was -<euro> 62 (95 % CI -<euro> 87, -<euro> 37), -<euro> 162 (95 % CI -<euro> 203, -<euro> 120) at the median, but decreased at the Q75 point to -<euro> 340 (95 % CI -<euro> 416, -<euro> 264). The odds ratio of a hospital episode cost being below the median for each category of consultant experience >15 years qualified were 0.75 (95 % CI 0.68, 0.83), 0.77 (95 % CI 0.70, 0.86), and 0.70 (95 % CI 0.64, 0.78): p < 0.001 for each experience category vs. <15 years qualified.

CONCLUSIONS

There appear to be cost advantages to care delivered by certified consultants of >20 years in clinical practice.

Hospitalists on an inpatient tertiary care oncology teaching service

PURPOSE

Hospitalists provide quality care in various inpatient settings, but the ability of hospitalists to provide quality inpatient care for patients with complex cancer has not been studied. This study explores outcomes with a hospitalist-led versus medical oncologist-led house staff team on an inpatient medical GI oncology teaching service.

METHODS

This observational retrospective cohort study examined 829 patient discharges from August 2012 to January 2013 on the GI oncology inpatient teaching service at Memorial Sloan Kettering Cancer Center, a tertiary cancer center in New York, New York. We compared average length of stay (ALOS), 30-day readmission rates, establishment of new do not resuscitate (DNR) orders, nosocomial pneumonia and urinary tract infection (UTI) rates, radiographic and laboratory tests per patient, and disposition on discharge between hospitalist-led and oncologist-led teams.

RESULTS

Median years of clinical experience was 6 (range, 4 to 9 years) for hospitalists and 7 (range, 0.5 to 36 years) for oncologists. ALOS (hospitalist led, 5.6 v oncologist led, 5.2 days; P = .30), readmission within 30 days (hospitalist led, 14% v oncologist led, 16%; P = .44), new DNR orders (hospitalist led, 18% v oncologist led, 19%; P = .90), nosocomial pneumonia (hospitalist led, 0.5% v oncologist led, 0.7%; P = .63) and UTI rates (hospitalist led, 0.5% v oncologist led, 0.7%; P = .63), number of radiographic studies and laboratory tests, and disposition on discharge were not significantly different between groups.

CONCLUSION

A hospitalist-led inpatient service with house staff represents a novel approach for caring for hospitalized GI oncology patients with cancer.

Effects of Establishing a Department of General Internal Medicine on the Length of Hospitalization

OBJECTIVE

This study aimed to evaluate the effects of establishing a Department of General Internal Medicine (DGIM) on the length of hospitalization. We evaluated the length of hospitalization associated with diseases for which full-time specialists were not available and were instead treated by physicians of the DGIM after its establishment.

METHODS

A retrospective cohort study was conducted with a review of the subjects' medical records. The subjects included patients ≥16 years of age who were hospitalized with pneumonia or cerebral infarction and treated by a physician with a specialty in internal medicine as the disease outside their specialty prior to DGIM establishment (October 1, 2006 to September 30, 2008) or by a physician of the DGIM after its establishment (October 1, 2009 to September 30, 2011). The primary outcome was the change in the length of hospitalization. The length of hospitalization for heart failure, which was treated by specialists (cardiologists) in both study periods, was also examined for comparison.

RESULTS

We evaluated 322 and 423 cases of pneumonia treated before and after the establishment of the DGIM, as well as 223 and 229 cases of cerebral infarction and 132 and 206 cases of heart failure, respectively. The length of hospitalization before and after establishment of the DGIM was 21.6 and 16.0 days for the pneumonia patients (p<0.001) and 24.2 and 19.9 days for the cerebral infarction patients (p<0.001), respectively. On the other hand, the change in the length of hospitalization for the heart failure patients was not statistically significant (19.9 vs. 17.6 days; p=0.281).

CONCLUSION

The establishment of the DGIM reduced the length of hospitalization associated with diseases for which full-time specialists were not available by over 17%.

Comparing patient outcomes of academician-preceptors, hospitalist-preceptors, and hospitalists on internal medicine services in an academic medical center

BACKGROUND

Patient outcomes with hospitalist care have been studied in many settings, yet little is known about how hospitalist care interacts with trainee care to affect patient outcomes in teaching hospitals.

OBJECTIVES

The aim of this study was to compare patient outcomes between hospitalist-preceptors and hospitalists working alone (isolating the effect of housestaff involvement), and between hospitalist-preceptors and academician-preceptors (isolating the effect of attending type, given housestaff involvement).

DESIGN

A four-year retrospective cohort study of patients (n = 13,313) admitted to all internal medicine services at an academic medical center from July 2008 to June 2012.

MAIN MEASURES

Using generalized estimating equations, we measured readmission within 30 days, hospital length of stay, cost of the index hospitalization, and cumulative cost including readmissions within 30 days.

KEY RESULTS

In the adjusted models, 30-day readmission odds were higher for academic-preceptors (OR, 1.14 [95% CI, 1.03 - 1.26]) and hospitalist-preceptors (OR, 1.10 [95% CI, 1.002 - 1.21]) than for hospitalists working alone. Compared with hospitalists working alone, academic-preceptors were associated with shorter length of stay (mean difference, 0.27 days [95% CI, 0.18 - 0.38]), lower index hospitalization costs (mean difference, $386 [95% CI, $192 - $576]), but similar cumulative inpatient costs within 30 days of discharge. Compared with hospitalists working alone, hospitalist-preceptors were associated with shorter length of stay (mean difference, 0.34 days [95% CI, 0.26 - 0.42]), lower index hospitalization cost (mean difference, $570 [95% CI, $378 - $760]), and a trend toward lower cumulative cost (mean difference, $1347 [95% CI, $254 - $2,816]).

CONCLUSIONS

Preceptor-led medicine services were associated with more readmissions within 30 days, shorter lengths of stay, and lower index admission-associated costs. However, when considering cumulative hospitalization costs, patients discharged by academician-preceptors incurred the highest cost and hospitalist-preceptors incurred the lowest cost.

Interventions to improve safe and effective medicines use by consumers: an overview of systematic reviews

BACKGROUND

Many systematic reviews exist on interventions to improve safe and effective medicines use by consumers, but research is distributed across diseases, populations and settings. The scope and focus of such reviews also vary widely, creating challenges for decision-makers seeking to inform decisions by using the evidence on consumers' medicines use.This is an update of a 2011 overview of systematic reviews, which synthesises the evidence, irrespective of disease, medicine type, population or setting, on the effectiveness of interventions to improve consumers' medicines use.

OBJECTIVES

To assess the effects of interventions which target healthcare consumers to promote safe and effective medicines use, by synthesising review-level evidence.

METHODS

SEARCH METHODS

We included systematic reviews published on the Cochrane Database of Systematic Reviews and the Database of Abstracts of Reviews of Effects. We identified relevant reviews by handsearching databases from their start dates to March 2012.

SELECTION CRITERIA

We screened and ranked reviews based on relevance to consumers' medicines use, using criteria developed for this overview.

DATA COLLECTION AND ANALYSIS

We used standardised forms to extract data, and assessed reviews for methodological quality using the AMSTAR tool. We used standardised language to summarise results within and across reviews; and gave bottom-line statements about intervention effectiveness. Two review authors screened and selected reviews, and extracted and analysed data. We used a taxonomy of interventions to categorise reviews and guide syntheses.

MAIN RESULTS

We included 75 systematic reviews of varied methodological quality. Reviews assessed interventions with diverse aims including support for behaviour change, risk minimisation and skills acquisition. No reviews aimed to promote systems-level consumer participation in medicines-related activities. Medicines adherence was the most frequently-reported outcome, but others such as knowledge, clinical and service-use outcomes were also reported. Adverse events were less commonly identified, while those associated with the interventions themselves, or costs, were rarely reported.Looking across reviews, for most outcomes, medicines self-monitoring and self-management programmes appear generally effective to improve medicines use, adherence, adverse events and clinical outcomes; and to reduce mortality in people self-managing antithrombotic therapy. However, some participants were unable to complete these interventions, suggesting they may not be suitable for everyone.Other promising interventions to improve adherence and other key medicines-use outcomes, which require further investigation to be more certain of their effects, include:· simplified dosing regimens: with positive effects on adherence;· interventions involving pharmacists in medicines management, such as medicines reviews (with positive effects on adherence and use, medicines problems and clinical outcomes) and pharmaceutical care services (consultation between pharmacist and patient to resolve medicines problems, develop a care plan and provide follow-up; with positive effects on adherence and knowledge).Several other strategies showed some positive effects, particularly relating to adherence, and other outcomes, but their effects were less consistent overall and so need further study. These included:· delayed antibiotic prescriptions: effective to decrease antibiotic use but with mixed effects on clinical outcomes, adverse effects and satisfaction;· practical strategies like reminders, cues and/or organisers, reminder packaging and material incentives: with positive, although somewhat mixed effects on adherence;· education delivered with self-management skills training, counselling, support, training or enhanced follow-up; information and counselling delivered together; or education/information as part of pharmacist-delivered packages of care: with positive effects on adherence, medicines use, clinical outcomes and knowledge, but with mixed effects in some studies;· financial incentives: with positive, but mixed, effects on adherence.Several strategies also showed promise in promoting immunisation uptake, but require further study to be more certain of their effects. These included organisational interventions; reminders and recall; financial incentives; home visits; free vaccination; lay health worker interventions; and facilitators working with physicians to promote immunisation uptake. Education and/or information strategies also showed some positive but even less consistent effects on immunisation uptake, and need further assessment of effectiveness and investigation of heterogeneity.There are many different potential pathways through which consumers' use of medicines could be targeted to improve outcomes, and simple interventions may be as effective as complex strategies. However, no single intervention assessed was effective to improve all medicines-use outcomes across all diseases, medicines, populations or settings.Even where interventions showed promise, the assembled evidence often only provided part of the picture: for example, simplified dosing regimens seem effective for improving adherence, but there is not yet sufficient information to identify an optimal regimen.In some instances interventions appear ineffective: for example, the evidence suggests that directly observed therapy may be generally ineffective for improving treatment completion, adherence or clinical outcomes.In other cases, interventions may have variable effects across outcomes. As an example, strategies providing information or education as single interventions appear ineffective to improve medicines adherence or clinical outcomes, but may be effective to improve knowledge; an important outcome for promoting consumers' informed medicines choices.Despite a doubling in the number of reviews included in this updated overview, uncertainty still exists about the effectiveness of many interventions, and the evidence on what works remains sparse for several populations, including children and young people, carers, and people with multimorbidity.

AUTHORS' CONCLUSIONS

This overview presents evidence from 75 reviews that have synthesised trials and other studies evaluating the effects of interventions to improve consumers' medicines use.Systematically assembling the evidence across reviews allows identification of effective or promising interventions to improve consumers' medicines use, as well as those for which the evidence indicates ineffectiveness or uncertainty.Decision makers faced with implementing interventions to improve consumers' medicines use can use this overview to inform decisions about which interventions may be most promising to improve particular outcomes. The intervention taxonomy may also assist people to consider the strategies available in relation to specific purposes, for example, gaining skills or being involved in decision making. Researchers and funders can use this overview to identify where more research is needed and assess its priority. The limitations of the available literature due to the lack of evidence for important outcomes and important populations, such as people with multimorbidity, should also be considered in practice and policy decisions.

Co-management between hospitalist and hepatologist improves the quality of care of inpatients with chronic liver disease

BACKGROUND AND GOALS

Our institution shifted the care of patients with chronic liver disease (CLD) from Internal Medicine faculty, house staff, and consulting hepatology service to a co-managed unit staffed by academic hospitalists and hepatologists. The effect of co-management between hospitalists and hepatologists on the care of patients hospitalized with complications of CLD such as spontaneous bacterial peritonitis (SBP) is unknown.

STUDY

A retrospective chart review of 56 adult patients admitted with CLD and SBP from July 1, 2004 to June 30, 2010 was performed. Adherence rates to current management guidelines were measured along with costs and outcomes of care.

RESULTS

Patients admitted under the 2 models of care were similar; however, they consistently underwent paracentesis within 24 hours (100% vs. 79%, P=0.013), had appropriate avoidance of fresh-frozen plasma use (75% vs. 43%, P=0.05), received albumin (97% vs. 65%, P=0.002), and were discharged on SBP prophylaxis (91% vs. 37%, P<0.001) under the co-managed model compared with the conventional model. Costs of care were similar between the 2 groups. We note a trend toward improved outcomes of care under the co-management model as measured by transfer rates to the intensive care unit, inpatient mortality, 30-day readmission, and mortality rates.

CONCLUSIONS

These results support co-management between hospitalists and hepatologists as a superior model of care for hospitalized patients with SBP. Furthermore, this study adds to the growing literature indicating that efforts are needed to improve the quality of care delivered to CLD patients.

Research and publication trends in hospital medicine

BACKGROUND

Research by hospitalists may aid the evolution of hospital medicine into an academic specialty.

OBJECTIVE

To describe the factors associated with research and publication activities among hospitalists and describe trends in hospitalist-led publications.

METHODS

We surveyed members of the Society of Hospital Medicine in June 2012 and conducted univariate analyses on their responses to determine predictors of successful authorship and to describe factors associated with research engagement. We searched PubMed from the database inception to October 2013 for publications with "hospitalist" or "hospital medicine" affiliated authors. Original research articles were reviewed for methodology and funding sources.

RESULTS

Of the 645 respondents (5.8% response rate), 277 (43%) had authored peer-reviewed publications, 126 (19%) had access to mentorship, and 68 (11%) reported funding support. There were 213 (33%) who were engaged in research, with the majority conducting quality improvement (QI) research (n = 152, 24%). Completion of a fellowship, pediatrics training, the presence of a mentor, funding, and >25% protected time for research were each individually associated with an increased likelihood of authoring publications. Hospitalist-led publications in PubMed have been increasing from 36 in 2006 to 179 in the first 10 months of 2013. Of the original research publications (n = 317), the majority were clinical (n = 129, 41%), and 58 (18%) were QI. Thirty-nine (22%) authors reported funding support.

CONCLUSIONS

Peer-reviewed publications by hospitalists are increasing, suggesting the academic maturation of hospital medicine. Provision of mentorship for hospitalists specifically in QI and guidance toward funding resources may assist in supporting this trend.

Association of hospitalist presence and hospital-level outcome measures among Medicare patients

BACKGROUND

Hospitalists have been shown to lower patient costs through better resource utilization and decreased length of stay, but it is unclear whether hospitalists are associated with quality of care. We examined the association between the presence of hospitalists and 30-day predicted excess all-cause hospital mortality and readmissions among Medicare patients admitted to a hospital with any of 3 conditions: heart failure, acute myocardial infarction, and pneumonia.

METHODS

Using national hospital-level, case mix-adjusted, risk-standardized, 30-day all-cause excess mortality and readmission data from the Centers for Medicare and Medicaid Services, we used descriptive and bivariate statistics to illustrate trends across hospitals. Using multivariable ordinary least squares regression to control for hospital-level characteristics, we then estimated the association between the presence of hospitalists and predicted hospital mortality and readmission.

RESULTS

After multivariable adjustment, the presence of hospitalists was associated with lower probability of readmission for all 3 target conditions. No significant associations for any of the target conditions were found in all-cause mortality models.

CONCLUSIONS

Hospitalists are already integral to the delivery of inpatient care at most institutions. This study, however, showed an association at the national level of the presence of hospitalists with an important and timely quality measure: reduction of readmission rates. Future research is indicated to explore specific causation pathways for the impact of hospitalists on quality of care.

Improving the quality of care for medical inpatients by placing a higher priority on ward rounds

Models suggested for managing acute, non-elective, medical admissions include expanding geriatric services, extending the role of the acute physician and rejuvenating the role of the general physician. We investigated improving inpatient care by changing consultants' work patterns and placing a higher priority on the ward rounds. A focus group and a questionnaire were used to study the impact on several ward round parameters. All respondents reported an overall satisfaction: 93% rated the quality of care as good or excellent, 75% reported increased safe patient discharges and 68% observed improved teamwork. Length of stay reduced to 4 days from 5.3 days without an increase in readmission. The main themes showed improved quality of care, better assured patients and relatives, and better consultant job satisfaction, but also showed reduced junior doctors' independent decision-making and a slight reduction in specialty-related activity. The study concluded that placing a higher priority on ward rounds by altering consultants' work patterns has a positive impact on inpatient care.

Associations between use of the hospitalist model and quality of care and outcomes of older patients hospitalized for heart failure

OBJECTIVES

This study sought to examine the associations of hospitalist and cardiologist care of patients with heart failure with outcomes and adherence to quality measures.

BACKGROUND

The hospitalist model of inpatient care has grown nationally, but its associations with quality of care and outcomes of patients hospitalized with heart failure are not known.

METHODS

We analyzed data from the Get With the Guidelines-Heart Failure registry linked to Medicare claims for 2005 through 2008. For each hospital, we calculated the percentage of heart failure hospitalizations for which a hospitalist was the attending physician. We examined outcomes and care quality for patients stratified by rates of hospitalist use. Using multivariable models, we estimated associations between hospital-level use of hospitalists and cardiologists and 30-day risk-adjusted outcomes and adherence to measures of quality care.

RESULTS

The analysis included 31,505 Medicare beneficiaries in 166 hospitals. Across hospitals, the use of hospitalists varied from 0% to 83%. After multivariable adjustment, a 10% increase in the use of hospitalists was associated with a slight increase in mortality (risk ratio: 1.03; 95% confidence interval [CI]: 1.00 to 1.06) and decrease in length of stay (0.09 days; 95% CI: 0.02 to 0.16). There was no association with 30-day readmission. Increased use of hospitalists in hospitals with high use of cardiologists was associated with improved defect-free adherence to a composite of heart failure performance measures (risk ratio: 1.03; 95% CI: 1.01 to 1.06).

CONCLUSIONS

Hospitalist care varied significantly across hospitals for heart failure admissions and was not associated with improved 30-day outcomes. Comanagement by hospitalists and cardiologists may help to improve adherence to some quality measures, but it remains unclear what care model improves 30-day clinical outcomes.

The impact of consultant-delivered multidisciplinary inpatient medical care on patient outcomes

Consultant-delivered care has been shown to improve outcomes for acute medical patients. However, the ideal composition of a medical team to support consultant-delivered care is not clear and little is known about the effect of continuing consultant-delivered care until the patient is discharged. Between December 2011 and April 2012, 260 general medical patients requiring inpatient care were managed by a consultant-delivered multidisciplinary team (CD-MDT) and 150 patients by a standard consultant-led team of trainee doctors. The length of hospital stay was significantly lower for patients managed by a CD-MDT than for those managed by a standard team (4-5 days vs 7 days, p<0.001). No difference between the groups was seen for readmission rates, patient safety or mortality. In conclusion, a CD-MDT is a safe and effective model of inpatient medical care and is associated with a shorter length of hospital stay.