Literature DB >> 35165130

A systematic review of evidence-based practices for clinical education and health care delivery in the clinical teaching unit.

Brandon Tang1, Ryan Sandarage2, Jocelyn Chai2, Kristin Anne Dawson2, Katrina Rose Dutkiewicz2, Stephan Saad2, Vanessa Kitchin2, Rose Hatala2, Iain McCormick2, Barry Kassen2.   

Abstract

BACKGROUND: The clinical teaching unit is a widespread clinical training model that requires reform to prepare physicians for practice in the 21st century. In this systematic review, we aimed to identify evidence-based practices in internal medicine clinical teaching units that contribute to improved clinical education and health care delivery.
METHODS: We searched several databases from 1993 until Apr. 5, 2021, to identify published studies in inpatient clinical teaching units that involved medical trainees and reported outcomes related to trainee education or health care delivery. We identified emergent themes using a narrative approach and determined confidence in review findings using the Grading of Recommendations Assessment, Development and Evaluation Confidence in the Evidence from Reviews of Qualitative Research (GRADE-CERQual) methodology.
RESULTS: We included 107 studies of internal medicine clinical teaching units, of which 93 (87%) were conducted in North America. Surveys (n = 31, 29%), trials (n = 17, 16%) and narrative studies (n = 15, 14%) were the most prevalent study designs. Practices identified as contributing to improved clinical education or health care delivery included purposeful rounding (high confidence), bedside rounding (moderate confidence), resource stewardship interventions (high confidence), interprofessional rounds (moderate confidence), geographic wards (moderate confidence), allocating more trainee time to patient care or educational activities (moderate confidence), "drip" continuous models of admission (moderate confidence), limiting duty hours (moderate confidence) and limiting clinical workload (moderate confidence).
INTERPRETATION: In this review, we identified several evidence-based practices that may contribute to improved educational and health care outcomes in clinical teaching unit settings. These findings may offer guidance for policies, resource allocation and staffing of teaching hospitals.
© 2022 CMA Impact Inc. or its licensors.

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Year:  2022        PMID: 35165130      PMCID: PMC8900805          DOI: 10.1503/cmaj.202400

Source DB:  PubMed          Journal:  CMAJ        ISSN: 0820-3946            Impact factor:   8.262


Medical education in North America is largely based on an educational model that is now more than a century old.1 To keep pace with changing social, economic and health system circumstances, substantial educational reform is necessary to prepare physicians for practice in the 21st century. Over the past decade, numerous national organizations, including the Association of Faculties of Medicine in Canada and the American Medical Association, have echoed this call to action.1,2 The clinical teaching unit (CTU) provides a joint model of undergraduate and postgraduate clinical education in which trainees contribute to direct patient care, with graded levels of responsibility reflective of their level of training.3 The CTU describes an approach to delivering learner education and patient care in parallel, and since its inception in Canada in 1962, this model of care has become almost ubiquitous across clinical specialties in many countries. Although the use of CTUs is a common approach to organizing an inpatient teaching service, the implementation of CTUs is highly variable with regard to elements such as the number of learners and patients, and regionalization to specific hospital wards. Moreover, a systematic evaluation of practices that maximize the CTU’s effectiveness has not been conducted, meaning evidence to inform CTU design is lacking. The purpose of this systematic review was to identify practices in internal medicine CTUs that contribute to improved clinical education for resident physicians and medical students, as well as to health care delivery.

Methods

Search strategy and study selection

We conducted a qualitative systematic review of primary research studies of clinical teaching units, in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) publication standards.4 We searched the MEDLINE, Embase, Cochrane, CINAHL, PsycINFO, Education Resources Information Center (ERIC), ProQuest and University of British Columbia CiRcle databases for articles published in English or French from 1993 to Apr. 5, 2021. We identified additional articles by screening references of studies meeting inclusion criteria for relevant sources, along with other studies that were identified ad hoc. Detailed search strategies are provided in Appendix 1, Section 1, available at www.cmaj.ca/lookup/doi/10.1503/cmaj.202400/tab-related-content. We included studies if they were conducted in an inpatient clinical teaching unit that involved resident physicians, medical students or both, and if they described outcomes related to trainee education or health care delivery. Two reviewers independently screened abstracts and full-text articles for eligibility, with any discrepancies resolved through discussion with a third reviewer.

Data extraction and quality assessment

Two reviewers (B.T., R.S., J.C., K.A.D., K.R.D., S.S.) independently extracted data from each included study using a standardized, pre-piloted form.5 Two reviewers (B.T., R.S., J.C., K.A.D., K.R.D.) independently assessed methodological quality for all studies, using the Medical Education Research Study Quality Instrument (MERSQI)6 for quantitative studies and the Consolidated Criteria for Reporting Qualitative Research (COREQ) instrument7 for qualitative studies. Scoring discrepancies were resolved through discussion with a third reviewer (R.S., B.T.).

Data analysis

We employed a narrative approach to evidence synthesis, with particular attention to design practices, proposed mechanisms and outcomes identified for each study. We discussed emergent themes until consensus was reached. We assessed the confidence in each review finding using the Grading of Recommendations Assessment, Development and Evaluation Confidence in the Evidence from Reviews of Qualitative Research (GRADE-CERQual) approach,8 which is conceptually similar to other GRADE tools, but is employed in qualitative evidence syntheses. 9 This approach collectively assesses the strength of evidence contributing to each review finding using 4 criteria, namely methodological limitations, coherence, adequacy and relevance. We categorized findings according to the Star Model, an evidence-based management tool for health system design, which divides complex systems into their interdependent subsystems (i.e., strategy, structure, human resources, incentives, information and decision-making and culture) to facilitate analysis and policy reform.10 Additional details of our systematic review methods are provided in Appendix 1, Section 2.

Results

Our review process is summarized in Figure 1. In total, we considered 2464 studies after removing duplicates; 358 articles underwent full-text review, of which 262 articles met inclusion criteria. Given the range of clinical specialties represented in included studies (Appendix 1, Section 3, Supplementary Table 1), as determined a priori,5 we limited data analysis to studies from general internal medicine CTUs to limit contextual variability. Therefore, we included 107 studies in our analysis, which are summarized in Table 1 and described in detail in Appendix 1, Section 3, Supplementary Table 2.
Figure 1:

Flow diagram of study selection. Note: CTU = clinical teaching unit.

Table 1:

Characteristics of included studies*

CharacteristicsNo. (%) of studiesn = 107
Geographical setting
 North America93 (87)
 Europe10 (9)
 Asia3 (3)
 Oceania1 (1)
Study design
 Survey31 (29)
 Trial (nonrandomized and randomized)17 (16)
 Narrative15 (14)
 Observational14 (13)
 Before and after11 (10)
 Time series10 (9)
 Semistructured interview8 (8)
 Time motion7 (7)
 Cohort (prospective or retrospective)6 (6)
 Focus group4 (4)
 Case–control1 (1)
 Field interview1 (1)
 Simulation1 (1)
Target group
 Resident physicians and medical students75 (70)
 Practising physicians47 (44)
 Patients33 (31)
 Inpatient ward21 (20)
 Other health care professionals13 (12)
Themes (Star Model)†
 Strategy77 (72)
 Culture54 (50)
 Structure38 (36)
 Human resources27 (25)
 Information and decision support25 (23)
 Incentives6 (6)
Study outcomes
 Educational34 (32)
 Patient care31 (29)
 Educational and patient care42 (39)
Study quality
 High45 (42)
 Medium39 (36)
 Low23 (22)

Most studies involved multiple designs, target groups and foci, so some totals exceed 100%.

The Star Model is an evidence-based management tool used to guide health system design by analyzing systems according to their related subsystems of strategy, structure, human resources, incentives, information and decision support and culture.10

Flow diagram of study selection. Note: CTU = clinical teaching unit. Characteristics of included studies* Most studies involved multiple designs, target groups and foci, so some totals exceed 100%. The Star Model is an evidence-based management tool used to guide health system design by analyzing systems according to their related subsystems of strategy, structure, human resources, incentives, information and decision support and culture.10 Most studies (n = 93, 87%) were conducted in North America. Surveys (n = 31, 29%), trials (n = 17, 16%) and narrative studies (n = 15, 14%) were the most prevalent study designs. Most studies included residents and students (n = 75, 70%), practising physicians (n = 47, 44%), patients (n = 33, 31%), and entire inpatient wards (n = 21, 20%). We assessed 84 (78%) as either high or medium quality. Among all analyzed studies, 34 (32%) evaluated educational outcomes, 31 (29%) evaluated patient care outcomes and 42 (39%) evaluated both types of outcomes (Table 1). Although all subsystems of the Star Model were represented in the analysis, the emergent themes were clustered within the strategy, structure and human resources subsystems. An overview of key findings from this review and the assessment of confidence in each finding are reported in Table 2, Table 3 and Table 4. Comprehensive results from the GRADE-CERQual assessment are reported in Appendix 1, Section 3, Supplementary Table 3.
Table 2:

GRADE-CERQual* summary of analytical theme 1: strategy

Summary of review findingCERQual assessmentExplanation of CERQual scoreStudies contributing to the review finding
Purposeful rounds, in which certain patients are explicitly prioritized for earlier assessment (e.g., sick patients, potential discharges), may contribute to shorter rounds and improved patient outcomes.1116High confidenceThere are moderate concerns regarding relevance. However, there is strong and logical coherence between the intervention and described outcomes.n = 6High quality12,14,15Medium quality13,16Low quality11
Bedside rounds are preferred by patients, but may negatively affect the trainee educational experience, particularly with a higher team workload.1114,1629Moderate confidenceThere are moderate concerns regarding coherence (efficiency of bedside rounds). There are minor concerns regarding relevance.n = 18High quality12,14,1820,24,28,29Medium quality13,16,21,22,25,27Low quality11,17,23,26
Time allocation of trainees (e.g., spending most time interacting with electronic medical records) may affect the learning experience3037Moderate confidenceThere are moderate concerns regarding adequacy of data, linking time allocation to trainee experience. There are minor concerns regarding methodology and coherence.n = 8High quality34,35Medium quality30,33,37Low quality31,32,36
Educational and process-change interventions can promote resource stewardship in clinical decision-making.3853High confidenceThere are minor concerns regarding relevance.n = 16High quality39,4749,53Medium quality38,41,42,4446,5052Low quality40,43

Note: GRADE-CERQual = Grading of Recommendations Assessment, Development and Evaluation Confidence in the Evidence from Reviews of Qualitative Research.

Comprehensive results from the GRADE-CERQual assessment are reported in Appendix 1, Section 3, Supplementary Table 3.

Table 3:

GRADE-CERQual* summary of analytical theme 2: structure

Summary of review findingCERQual assessmentExplanation of CERQual scoreStudies contributing to the review finding
Interprofessional rounds may improve team collaboration and communication, and enhance discharge planning.21,22,5467Moderate confidenceThere are moderate concerns regarding methodology and minor concerns regarding coherence. However, the overall data suggest a positive impact of interprofessional rounds on discharge planning.n = 16High quality56,63Medium quality21,22,55,61,62,64,65Low quality54,5760,66,67
Geographic wards may improve team efficiency and interprofessional collaboration.14,28,56,68Moderate confidenceThere are moderate concerns regarding adequacy and relevance. However, all studies are medium or high quality and coherent.n = 4High quality14,28,56, 68
“Drip” continuous models of admission reduce daily variability in team workload that, in turn, may improve patient outcomes such as length of stay.69,70Moderate confidenceThere are moderate concerns regarding adequacy. However, all studies are high quality, relevant and coherent.n = 2High quality69,70
Duty hour limits did not affect patient care outcomes, but had variable impacts on trainee experience.7276Moderate confidenceThere are significant concerns regarding coherence and minor concerns regarding adequacy.n = 5High quality7276

Note: GRADE-CERQual = Grading of Recommendations Assessment, Development and Evaluation Confidence in the Evidence from Reviews of Qualitative Research.

Comprehensive results from GRADE-CERQual assessment are reported in Appendix 1, Section 3, Supplementary Table 3.

Table 4:

GRADE-CERQual* summary of analytical theme 3: human resources

Summary of review findingCERQual assessmentExplanation of CERQual scoreStudies contributing to the review finding
Limiting clinical workload, such as through a team census cap of 15–20 patients, may improve the trainee educational experience and reduce adverse patient outcomes.11,13,18,28,7780Moderate confidenceThere are moderate concerns regarding relevance. However, the data are overall high quality, adequate and coherently supportive of the finding.n = 8High quality18,28,77,79,80Medium quality13,78Low quality11

Note: GRADE-CERQual = Grading of Recommendations Assessment, Development and Evaluation Confidence in the Evidence from Reviews of Qualitative Research

Comprehensive results from GRADE-CERQual assessment are reported in Appendix 1, Section 3, Supplementary Table 3.

GRADE-CERQual* summary of analytical theme 1: strategy Note: GRADE-CERQual = Grading of Recommendations Assessment, Development and Evaluation Confidence in the Evidence from Reviews of Qualitative Research. Comprehensive results from the GRADE-CERQual assessment are reported in Appendix 1, Section 3, Supplementary Table 3. GRADE-CERQual* summary of analytical theme 2: structure Note: GRADE-CERQual = Grading of Recommendations Assessment, Development and Evaluation Confidence in the Evidence from Reviews of Qualitative Research. Comprehensive results from GRADE-CERQual assessment are reported in Appendix 1, Section 3, Supplementary Table 3. GRADE-CERQual* summary of analytical theme 3: human resources Note: GRADE-CERQual = Grading of Recommendations Assessment, Development and Evaluation Confidence in the Evidence from Reviews of Qualitative Research Comprehensive results from GRADE-CERQual assessment are reported in Appendix 1, Section 3, Supplementary Table 3.

Strategies to improve learner education and patient care

Purposeful rounding

Purposeful rounding, in which the order that patients should be seen is explicitly discussed, was explored in 6 studies, including 5 medium- or high-quality studies (Table 2).11–16 This approach was frequently incorporated in broader redesigns of the rounding process,11–13 with 2 high-quality studies reporting a shorter duration of rounds after intervention.12,14 Given the diverse terminology used to describe different rounding approaches, a proposed standardized nomenclature is suggested in Appendix 1, Section 3, Supplementary Table 4. Although the specific impact of purposeful rounding is challenging to delineate in multi-interventional studies, a high-quality observational study of 11 inpatient teams found that teams employing purposeful rounding had a shorter mean duration of rounds (92.8 v. 119.0 min), reduced average length of stay for patients (4.6 v. 5.7 d) and lower complication rates (0.2 v. 0.5 per patient per day).15 Purposeful rounding was encouraged through prerounds or morning huddles, in which sick patients and potential discharges were typically prioritized to be seen first.11,13,14,16

Bedside rounds

Bedside rounding, in which the team meets with the patient at the bedside and discussion occurs in the patient’s presence, was the focus of 18 studies, including 13 medium- or high-quality studies (Table 2).11–14,16–29 Patients, attending physicians and resident physicians reported differing perspectives on the value of bedside rounding. In both quantitative and qualitative studies, patients preferred bedside rounds, largely because of a perceived enhancement of patient–physician communication.12,23–25 This view is consistent with that of attending physicians, who suggested that bedside rounds are more patient-centred16,20,26 and offer an opportunity to model patient-centred communication to trainees.20 However, although medical students and residents agreed that patients prefer bedside rounds,24–26 they consistently expressed concerns from an educational perspective. Bedside rounds were perceived to take longer or to be inefficient,12,26,29 provide an inferior educational experience12,24,26 and lead to reduced autonomy in patient care.12 Despite learner perceptions of inefficiency, 3 medium- and high-quality studies reported that structured bedside rounding contributed to either shortened12,14 or an unchanged24 duration of rounds, although bedside rounds were often introduced in concert with other elements of rounding redesign.12,14 Bedside rounds may be more successful when certain implementation principles are followed. Two medium- and high-quality studies implementing bedside rounds in combination with other interventions, such as a morning huddle to promote purposeful rounding13 or a reduced clinical load,28 reported increased overall learner satisfaction. However, the patient census was capped28 at 15 or unchanged13 at 20 in these studies, and thus the impact of bedside rounds at a higher patient census is unclear. Several studies suggested that more frequent and effective bedside rounds are facilitated by workload factors, such as a reduced clinical load and adequate house staff supports.17,18,26,29 In addition, certain patients may be prioritized for bedside rounds, such as those requiring urgent care, newly admitted patients and patients with notable findings on physical examination. 19,29 We did not identify any studies that evaluated the impact of bedside rounds on direct clinical outcomes such as length of stay or adverse events in CTU settings.

Time allocation

Eight studies explored how resident physicians allocated their time while working on CTUs, of which 5 were of either medium or high quality (Table 2).30–37 Overall, a relatively small amount of time was spent directly with patients (mean 12.9%, range 9.4%–17%, n = 6 studies)30–35 or on education (mean 12.8%, range 2%–27.2%, n = 4 studies),31,32,34,35 while most residents’ time was allocated to computer usage (mean 45.3%, range 40%–50.6%, n = 3 studies), 32,33,35 particularly for the purposes of documentation in electronic medical records.33

Resource stewardship

Sixteen studies explored resource stewardship in the CTU setting, of which 14 were either medium or high quality (Table 2).38–53 Most studies introduced an educational39,46–53 or process change38,39,45 intervention, with the goal of improving cost awareness and promoting resource stewardship. Examples of process changes from medium- and high-quality studies included restricting standing laboratory orders,45 unbundling order sets38 and implementing a novel electronic decision support tool for deprescribing.39 Most educational interventions involved didactic lectures or small-group workshops, although 2 medium- and high-quality studies also employed social comparison data, in which individuals received personalized data on their laboratory use relative to their colleagues.48,52 Interventions to optimize resource stewardship achieved a variety of outcomes, including a reduction in laboratory use,38,45,47,48,50,52 and in prescribing of potentially inappropriate medications,39 and measurable cost savings.38,45,48,49,52,53 Other studies explored factors related to laboratory use, such as consideration of patient comfort,41 methods of tracking test results42 and level of clinical training, with more junior trainees tending to order more laboratory tests.44

Clinical teaching unit structure

Interprofessional rounds

Sixteen studies focused on interprofessional rounds,21,22,54–67 of which 9 studies were either medium- or high-quality (Table 3). Reported benefits of this practice included a perceived increase in collaboration22,62,65 and communication21,22,57,60,65,66 among health care teams; a high-quality time series study also reported earlier discharge times.63 Overall, 4 studies assessed structured interprofessional rounds,21,22,61,62 which involved regular meetings with the medical team to discuss patient care with nurses, pharmacists and other allied health professionals. Structured interprofessional rounds significantly increased participation of allied health professionals,22 contributed to perceptions of increased patient safety,22,62 improved interprofessional communication (especially with nurses)21,22,62 and enhanced efficiency, as residents were paged less frequently by nurses.21 However, although interprofessional rounds often focused on discharge planning,59,60,62,63 2 high-quality randomized trials showed that implementing structured interprofessional rounds did not change average length of stay,62 though they significantly reduced rates of adverse events.61

Geographic wards

Four high-quality studies explored geographic wards, in which patients and interprofessional care providers are colocalized in a single physical location, such as a hospital unit or floor, reporting that this may improve team efficiency and interprofessional collaboration (Table 3).14,28,56,68 In a time-series study, introduction of geographic wards as part of a multipronged CTU redesign contributed to reduced rounding time and greater nurse attendance on rounds.14 Outside of formal rounds, geographic wards also facilitated informal communication events between care providers.56 In a quasi-experimental study, a simulation model was used to colocate newly admitted patients with their assigned teams, which resulted in each team interacting with half as many nursing staff, thus improving communication and increasing time for direct patient care for both physicians and nurses.68 Although geographic wards were feasible with a low patient census, they were challenging to implement at a higher census without extending wait times in the emergency department.28

Models of admission

Models for admitting new patients were the focus of 2 high-quality retrospective cohort studies, which reported that they influence team workload and patient clinical outcomes (Table 3).69,70 The first study restructured inpatient teams into a “drip” continuous admission system, such that each team received a small number of daily admissions, moving away from a “bolus” system in which each team admitted a bolus of patients every 4 or 5 days.70 The drip model was associated with reduced median length of stay (5.06 v. 4.79 d) and less variability in daily discharge rates. The second study found a stepwise increase in patient length of stay, resource use (total costs) and inpatient mortality rates69 relative to the total number of patient admissions on their bolus admission day. This suggested that higher trainee workload on admitting days can negatively affect patient outcomes, and potentially lead to harm from the variability in daily workload created by bolus admission systems.

Multi-interventional redesign

Four studies evaluated multi-interventional initiatives to redesign inpatient CTUs.11,13,28,71 Elements found in 3 medium- and high-quality studies included bedside rounding,13,28 post-discharge follow-up clinics or rounds,13,28 and rounding on patients in a purposeful order.13,71 These studies reported a variety of positive outcomes, including improved learner satisfaction13,28,71 and reduced length of stay,28,71 but their multipronged nature made it difficult to delineate which particular interventions were attributable to observed outcomes. Therefore, we did not conduct a GRADE-CERQual assessment for this study finding.

Duty hours

Five high-quality studies evaluated the impact of duty hours policies on both educational and patient care outcomes (Table 3).72–76 Multiple randomized trials reported no outcome differences when comparing standard duty hour policies and flexible policies that did not specify limits on shift length or time off between shifts. These outcomes included average sleep time per 24 hours,72 scores from the American College of Physicians intraining examination,74 observed time spent on patient care74 and 30-day patient mortality rates.75 Two studies reported that stricter duty hours limits (e.g., 16- v. 30-hr limits) increased handovers.73,76 Finally, 2 studies, including a randomized trial, reported that trainees in night float or reduced duty hours systems had higher satisfaction.74,76 However, in another randomized trial, trainees reported both lower satisfaction and perceived quality of care in reduced duty hour systems.73 Overall, in the identified studies, limits on duty hours did not affect patient care outcomes, but variably affected trainees’ experiences.

Human resources factors

Team size and workload

Team size and workload appeared to influence both educational and patient care outcomes in 8 relevant studies, of which 5 were either medium- or high-quality (Table 4).11,13,18,29,77–80 In 2 high-quality studies, decreasing the ratio of house staff to attending physicians contributed to more time spent on teaching by attending physicians and an improved educational experience for trainees, without a negative impact on patient care outcomes. 28,77 In these studies, team composition was modified by either reducing the number of house staff (1 attending and 2 or 3 house staff per team)77 or by increasing the number of attending physicians (2 attendings and 5 house staff per team).28 Patient load affects trainee education, team behaviour and patient outcomes. To achieve a reduced clinical workload, 1 high-quality nonrandomized trial implemented a census cap of 15 patients per team and a reduced call frequency for trainees,28 finding that interns spent more time engaged in educational activities and endorsed higher satisfaction after intervention. Accordingly, as workload increased from a higher patient census or fewer available house staff, trainees tended to deprioritize teaching in favour of team efficiency78 and report that their clinical performance was negatively affected.79 In addition, when patient load was higher, teams were less likely to perform bedside rounds18 and geographic wards were more difficult to implement. 28 Finally, in terms of patient outcomes, a high-quality, retrospective cohort study reported that busier teams (> 49 monthly admissions) had a 21% higher rate of 30-day readmissions than teams with fewer admissions.80 Other studies aimed to enhance inpatient rounding without reducing patient census, through approaches such as morning huddles and bedside rounding.11,13 Although trainees reported an improved educational experience, a pre-existing census cap of 20 patients per team was maintained, making it unclear if the intervention would have been successful with a higher patient load.11

Interpretation

In this review, we identified several practices that enhanced trainee education or patient care in the CTU setting. Purposeful rounds, interprofessional rounds (specifically structured interprofessional rounds), resource stewardship interventions, drip continuous models of admission and limits on team workload were all practices associated with positive patient care outcomes, including shorter lengths of stay15,69,70 and reduced adverse events.15,61,70,80 Several practices were found to improve teamwork and communication, 14,28,56,60,62 including interprofessional rounds and geographic wards. The educational experience of trainees was enhanced when particular teaching behaviours were employed by attending physicians, 81–83 in several studies involving multi-interventional redesign of the rounding process11,13,28,71 and when clinical workload was reduced, such as through team census caps.28,77 Bedside rounding was an area of controversy as patients and senior physicians preferred it,12,24,25 but residents and medical students did not,12,24,26,29 although it may have been better received by trainees with an overall reduced team workload.17,18,26,29 Duty hour limits did not measurably affect clinical outcomes in multiple studies, but had variable impacts on the trainee educational experience.72–76 Overall, the findings from this review suggest that application of the identified practices may enhance educational value and patient care in CTUs. Implementing evidence-based practices in medical education is necessary to keep pace with the realities of 21st century health care. In particular, the CTU is an area in which quality improvement and redesign efforts can have a high yield, given that it is a common clinical education model across many countries and clinical specialties. This systematic review explored the CTU through the lens of systems thinking, using the Star Model, to identify design principles that facilitate clinical education and health care delivery. These findings offer insights that are relevant to policies, resource allocation and staffing for teaching hospitals across North America. Historically, the CTU was designed to provide both an exemplary educational experience and high-quality patient care.3 However, a perceived tension between service and learning has since emerged within the CTU, wherein clinical education and patient care may be viewed by trainees as competing activities.84 Recognizing this tension, the modern CTU can be viewed as an open system where external contexts interact, including educational priorities, patient care needs, costs of care and health system strain.85 Accordingly, although this review focused on factors within the CTU, this perspective emphasizes the importance of considering external forces when designing a CTU. For example, in the context of a growing number of patients who do not require acute hospital care, but who cannot be discharged,86 the development of nonteaching internal medicine services (e.g., hospitalist teams) may enhance CTUs by concentrating more medically complex patients in teaching teams where their potential for educating learners is maximized.87

Limitations

We focused our search terms primarily on studies in the CTU setting, which may not have captured relevant literature on teaching teams not formally designated as a CTU. Although the narrative synthesis captured valuable mixed-methods data, we had insufficient quantitative evidence to perform a meta-analysis and compare the relative effectiveness of review findings. In addition, most identified themes and included studies identified practices with a potential positive benefit, which may have been influenced by both publication biases and selective outcome reporting. Certain domains of the Star Model framework, such as information and decision support, incentives and culture, are highly relevant to CTUs, but lacked robust data from which we could draw conclusions. As is common in complex systems such as the CTU, it was difficult to discern the specific effects of individual practices in multi-interventional studies. Furthermore, most studies were from single centres, making generalization to other institutions difficult, and many educational outcomes relied on subjective learner impressions or satisfaction. Finally, although we captured evidence from an array of countries, we excluded studies not in English or French, and thus may not have captured articles published in other languages.

Conclusion

In this systematic review, we used a systems lens to identify several evidence-based practices in internal medicine CTUs that improve clinical education and health care delivery. Understanding and implementing best practice in the CTU is a high-yield area for reform, which aligns with broader efforts to modernize medical education for the 21st century. Targeted, high-quality studies to enhance generalizability and confidence in the identified interventions (e.g., bedside rounds, geographic wards, team census caps) would be ideal areas for future inquiry. Clinical data sets88 could be used to quantify how aspects of CTU design affect patient outcomes. Moreover, exploring the external forces that affect the CTU and how these interact with specific interventions, such as hospitalist teams, would complement our findings. Finally, knowledge translation is critical to ensure that best practices in CTU design ultimately become common practice.
  83 in total

1.  Association between funding and quality of published medical education research.

Authors:  Darcy A Reed; David A Cook; Thomas J Beckman; Rachel B Levine; David E Kern; Scott M Wright
Journal:  JAMA       Date:  2007-09-05       Impact factor: 56.272

2.  Reducing unnecessary testing: an intervention to improve resident ordering practices.

Authors:  Jose Melendez-Rosado; Kristine M Thompson; Jed C Cowdell; Catalina Sanchez Alvarez; Ryan L Ung; Armando Villanueva; Kayin B Jeffers; Jaafer S Imam; Mario V Mitkov; Tasneem A Kaleem; Lewis Jacob; Nancy L Dawson
Journal:  Postgrad Med J       Date:  2017-01-19       Impact factor: 2.401

3.  How Much Time are Physicians and Nurses Spending Together at the Patient Bedside?

Authors:  Adam X Sang; Rebecca L Tisdale; Derek Nielsen; Silvia Loica-Mersa; Travis Miller; Ian Chong; Lisa Shieh
Journal:  J Hosp Med       Date:  2019-05-12       Impact factor: 2.960

4.  The return of bedside rounds: an educational intervention.

Authors:  Jed D Gonzalo; Cynthia H Chuang; Grace Huang; Christopher Smith
Journal:  J Gen Intern Med       Date:  2010-04-13       Impact factor: 5.128

5.  Redesigning rounds: towards a more purposeful approach to inpatient teaching and learning.

Authors:  James B Reilly; Nadia Bennett; Kevin Fosnocht; Kendal Williams; Shreya Kangovi; Randi Jackson; Jack Ende
Journal:  Acad Med       Date:  2015-04       Impact factor: 6.893

6.  Patient Safety Outcomes under Flexible and Standard Resident Duty-Hour Rules.

Authors:  Jeffrey H Silber; Lisa M Bellini; Judy A Shea; Sanjay V Desai; David F Dinges; Mathias Basner; Orit Even-Shoshan; Alexander S Hill; Lauren L Hochman; Joel T Katz; Richard N Ross; David M Shade; Dylan S Small; Alice L Sternberg; James Tonascia; Kevin G Volpp; David A Asch
Journal:  N Engl J Med       Date:  2019-03-07       Impact factor: 91.245

7.  The MedSafer Study: A Controlled Trial of an Electronic Decision Support Tool for Deprescribing in Acute Care.

Authors:  Emily G McDonald; Peter E Wu; Babak Rashidi; Alan J Forster; Allen Huang; Louise Pilote; Louise Papillon-Ferland; André Bonnici; Robyn Tamblyn; Rachel Whitty; Sandra Porter; Kiran Battu; James Downar; Todd C Lee
Journal:  J Am Geriatr Soc       Date:  2019-06-27       Impact factor: 5.562

8.  Patients' Perceptions of Bedside Rounding.

Authors:  Allen F Shih; Nana O Addo-Tabiri; Andre N Sofair
Journal:  South Med J       Date:  2018-05       Impact factor: 0.954

9.  The effect of bedside case presentations on patients' perceptions of their medical care.

Authors:  L S Lehmann; F L Brancati; M C Chen; D Roter; A S Dobs
Journal:  N Engl J Med       Date:  1997-04-17       Impact factor: 91.245

10.  A controlled investigation of optimal internal medicine ward team structure at a teaching hospital.

Authors:  Brad Spellberg; Roger J Lewis; Darryl Sue; Bahman Chavoshan; Janine Vintch; Mark Munekata; Caroline Kim; Charles Lanks; Mallory D Witt; William Stringer; Darrell Harrington
Journal:  PLoS One       Date:  2012-04-19       Impact factor: 3.240

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