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Research

Impact of an internal service on care of with cancer at a large Canadian teaching : a quality-improvement study

Richard Dunbar-Yaffe MDCM MSc, Robert C. Wu MD MSc, Amit Oza MBBS, Victoria Lee-Kim BMSc, Peter Cram MD MBA

Abstract

Background: (overnight hospitalists) are commonly implemented in US teaching to adhere to per-resident caps and improve care but are rare in Canada, where patient caps and duty hours are comparatively flexible. Our objective was to assess the impact of a newly implemented nocturnist program on perceived quality of care, code status documentation and patient outcomes. Methods: Nocturnists were phased in between June 2018 and December 2019 at Toronto General Hospital, a large academic in Toronto, Ontario. We performed a quality-improvement study comparing rates of code status entry into the elec- tronic health record at admission, in-hospital mortality, the 30-day readmission rate and hospital length of stay for patients with cancer admitted by nocturnists and by residents. Surveys were administered in June 2019 to general faculty and residents to assess their perceptions of the impact of the nocturnist program. Results: From July 2018 to June 2019, 30 nocturnists were on duty for 241/364 nights (66.5%), reducing the mean maximum over- night per-resident patient census from 40 (standard deviation [SD] 4) to 25 (SD 5) (p < 0.001). The rate of admission code sta- tus entry was 35.3% among patients admitted by residents (n = 133) and 54.9% among those admitted by nocturnists (n = 339) (p < 0.001). The mortality rate was 10.5% among patients admitted by residents and 5.6% among those admitted by nocturnists (p = 0.06), the 30-day readmission rate was 8.3% and 5.9%, respectively (p = 0.4), and the mean acute length of stay was 7.2 (SD 7.0) days and 6.4 (SD 7.8) days, respectively (p = 0.3). Surveys were completed by 15/24 faculty (response rate 62%), who per- ceived improvements in , efficiency and trainee education; however, only 30/102 residents (response rate 29.4%) completed the survey. Interpretation: Although implementation of a nocturnist program did not affect patient outcomes, it reduced residents’ overnight patient census, and improved faculty perceptions of quality of care and education, as well as documentation of code status. Our results support nocturnist implementation in Canadian teaching hospitals.

octurnists (overnight hospitalists) have been widely teaching hospitals rely on teams of residents to cover all admit- implemented in teaching hospitals in the United ted medical patients, with no caps on the number of patients States in an effort to meet Accreditation Council for per resident. In contrast, in US hospitals, first-year internal N 1 1 Graduate workload standards, improve medicine residents can manage a maximum of 10 patients. overnight supervision and enhance the quality of patient Limits on Canadian resident work hours are determined at care.2–8 Recent data indicate that about 50% of US teaching the provincial level rather than nationally, as in the US. Only hospitals have nocturnists.9 Several single-centre surveys from Quebec has stipulated a maximum shift length (16 h), with the US suggest that nocturnist programs improve perceived most provinces still allowing 24-hour shifts. In Europe, resi- quality of care, increase resident satisfaction with overnight dent work hours are restricted to 48-hour work weeks, and supervision and may enhance efficiency.3,7 However, studies 13-hour shift limits are common.11 have not shown reductions in hospital length of stay or rates of mortality or hospital readmission.2 Canadian teaching hospitals have been slow to implement Competing interests: None declared. 10 nocturnists. Nocturnal coverage is typically provided by first- This article has been peer reviewed. year residents from multiple disciplines, with staff available by Correspondence to: Richard Dunbar-Yaffe, [email protected] telephone. Nocturnists are rare, and typically all admissions are performed by residents, without caps on volumes of exist- CMAJ Open 2021. DOI:10.9778/cmajo.20200167 ing patients or new admissions. Moreover, many Canadian

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Within our own institution, patient volume for internal to cover nights. Nocturnist shifts are from 1700 to medicine increased by 68% between 2010 and 2019; this 0800. Nocturnists are responsible­­ for admissions to the oncol- overall growth was driven by a 188% increase in admission ogy RIU plus overnight­ coverage of the existing census of volume from our affiliated cancer hospital. In July 2018, we both RIUs; they are not expected to supervise trainees. implemented a nocturnist program to address increasing patient volumes.12 To assess the impact of the program, we Participants and outcomes used patient-level data to determine its effects on documenta­ tion of resuscitation status, mortality, length of stay and Survey readmission. We also surveyed staff and resident physicians to Faculty survey participants were general internal medicine determine their perceptions of the program’s impact. physicians (full-time and part-time) who attended on our CTUs in June 2019. This did not include most of the tempo- Methods rary and casual staff who performed the majority of nocturnist shifts during the study period. We also emailed surveys to all Design and setting residents at the end of their 4-week CTU rotation at our hos- We performed a quality-improvement study to assess the pital between June and December 2019. Residents at Toronto impact of implementation of the nocturnist program at General Hospital all regularly work in other University of Toronto General Hospital, a 471-bed urban quaternary Toronto teaching hospitals, all of which lack nocturnists, teaching hospital in Toronto, Ontario. which enabled them to assess the addition of a nocturnist program. Nocturnist service implementation The Toronto General Hospital has a mean general internal Patients medicine census of 120 patients, mean acute hospital length of We identified all patients with cancer admitted to the oncol- stay of 6.1 days and an average of 16 new admissions per day, ogy RIU by residents on nights when no nocturnist was on coming primarily from the . Patients duty and by nocturnists on nights when nocturnists were admitted to general internal medicine are managed by 4 resi- on duty between July 1, 2018, and June 30, 2019. As noc­ dent teams (called clinical teaching units [CTUs]) and turnist availability was quasi-random during our ramp-up 2 resident-independent units (RIUs). Clinical teaching units phase, we expected that patients admitted by residents and consist of an attending , 1 second-year or third-year nocturnists would generally be similar. There were no exclu- resident, and 3 first-year residents, plus medical students. The sion criteria for patients. average census for our CTUs is 20–25 patients, but it periodi- For these 2 groups of patients, we compared entry of a cally reaches 30–35. Our 2 RIUs are staffed by attending code status order in the electronic health record by 0800 on physicians­ supported by international trainees (fellows), nurse the day of admission, in-hospital death, hospital length of stay practitioners and physician assistants, and have a cap of and 30-day readmission rate. We selected outcomes commen- 20 patients. One RIU is an oncology team, which manages surate with prior literature evaluating nocturnist programs for patients with cancer receiving care at our affiliate, Princess which data were available through our hospital’s data ware- Margaret Cancer Hospital. house.2 Preventable readmissions are a target of concern for Before implementation of the nocturnist service, nocturnal hospitals and payers; although there are other contributing coverage began at 1700 and was provided by 1 first-year resi- factors, it is conceivable that some aspect of the initial admis- dent from each CTU (i.e., 4 on call each night), with supervi- sion may influence this outcome. sion by a second-year resident and an off-site attending. Each on-call first-year resident was responsible for covering his or Data sources her team’s 20–25 existing inpatients and admitting new patients to the team overnight. In addition, 2 of the on-call Survey residents were each required to cross-cover an RIU; this cov- In June 2019, 1 year after implementation of the nocturnist erage included admitting new patients to the RIU, answering program, we emailed surveys to all physicians who had pages, and assessing and managing emergent medical issues attended on the general internal medicine CTUs. The survey for existing RIU inpatients. In aggregate, the 2 cross-covering was developed by 2 of the authors (R.D.-Y. and V.L.-K.). first-year residents covered 35–45 inpatients and admitted Questions related to perceptions of quality of care, perceived 4–6 new patients per night. errors and expeditious patient evaluation were adapted from a Our nocturnist program was introduced in a graduated similar single-centre study of implementation of a nocturnist manner, with nocturnal coverage increasing over time. Noc­ program,7 and those related to burnout and suspected reasons turnist shifts were offered to current faculty and independently for postintervention improvement were developed by the licensed physicians from the community. Ontario physicians­ authors (Appendices 1 and 2, available at www.cmajopen.ca/ are compensated primarily on a fee-for-service basis by the content/9/2/E667/suppl/DC1). The survey contained addi- Ministry of Health, with supplemental payments for off-hours tional space for optional free-text responses. The survey was work.13 However, competition in the local market necessitated pilot-tested with 2 of the authors (R.C.W. and P.C.), the hospital supplementation (about $1500 per night) to entice chief medical resident and 2 other faculty members to ensure

E668 CMAJ OPEN, 9(2) Research clarity of phrasing and response options; this resulted in only Results minor modifications. Minimal demographic data were col- lected to protect confidentiality given the small numbers of Patient outcomes participants. Nocturnist coverage was present for 241 (66.2%) of 364 nights between July 1, 2018, and June 30, 2019, with Patients 46 nights (19.1%) covered by full-time faculty and 195 nights We obtained patient-level data (e.g., age, sex, admission date, (80.9%) by temporary staff. Patients admitted by nocturnists comorbidity) abstracted from our hospital’s electronic health (n = 339) and those admitted by residents (n = 133) were simi- record data warehouse, which complies with Canadian coding lar with respect to age, sex and Charlson Comorbidity Index standards14 and can be provided to hospital staff by request. score (Table 1). Ninety-four (27.7%) of the nocturnist admis- Comorbidity was captured in this database by means of the sions were performed on weekends, compared to 30 (22.6%) Charlson Comorbidity Index (score range 0–37; higher scores of the resident admissions (p = 0.2). represent a higher burden of illness).15 Code status entry was In-hospital mortality was not statistically significantly differ- obtained by 1 of the authors (R.D.-Y.) by reviewing the ent for patients admitted by residents (10.5%) as compared to patients’ charts and noting the timestamp in the electronic nocturnists (5.6%) (adjusted odds ratio [OR] 1.91, 95% confi- health record of code status entry; this is our hospital’s con- dence interval [CI] 0.92–4.00). Of the 133 patients admitted by temporary and sole standard for documenting and referring to residents, 11 (8.3%) were readmitted to our hospital within code status. 30 days of discharge, compared to 20 (5.9%) of the 339 admitted by nocturnists (adjusted OR 1.35, 95% CI 0.62–2.94). The mean Patient census acute length of stay for patients admitted by residents was 7.2 We used electronic health record data to determine the daily (standard deviation [SD] 7.0) days, compared to 6.4 (SD 7.8) days patient census covered by each resident. We used call sched- for those admitted by nocturnists (p = 0.3). Entry of code status ules to combine censuses for residents scheduled to cover orders was more common for admissions performed by noc­ their own CTU plus an RIU (i.e., cross-covering). We used a turnists than by residents (186 [54.9%] v. 47 [35.3%], p < 0.001). spreadsheet with nocturnist call assignments to determine the number of shifts covered by each physician, and their status as Patient census faculty or temporary physicians. Among the 30 physicians (5 faculty, 25 temporary) who worked on the nocturnist service, the median number of noc­ Statistical analysis turnist shifts performed per physician during the study period We compared demographic characteristics, temporal factors was 5.5 (interquartile range [IQR] 2.0–9.8). Among the (weekend v. weekday admissions) and comorbidity for patients 123 nights without a nocturnist, the 2 residents required to admitted by nocturnists and residents using bivariate mea- cross-cover the RIUs had a mean overnight census of 40.0 sures. We compared resident census coverage on nights with (SD 3.9) patients, compared to 25.2 (SD 4.7) patients for the and without a nocturnist using a t test. We examined survey 2 residents not required to cross-cover (p < 0.001). responses using standard descriptive statistics (i.e., mean, median, percentages) in Microsoft Excel. For dichotomous (yes/no) questions, we examined the proportion of respon- Table 1: Characteristics and outcomes of patients admitted to dents who answered “Yes.” For Likert-type questions (scored the oncology team by residents versus nocturnists from 1 [strongly disagree] to 5 [strongly agree] except for the No. (%) of patients* question regarding satisfaction, where 1 = very unsatisfied and 5 = very satisfied), we calculated the mean score for each item. Admitted by Admitted by We reviewed free-text survey responses for any concerns that residents nocturnists were not included in the survey rather than coding them for Characteristic n = 133 n = 339 p value formal qualitative review. Age, mean ± SD, yr 61.7 ± 14.5 60.4 ± 14.7 0.4 We compared unadjusted outcomes for patients admitted Female sex 58 (43.6) 159 (46.9) 0.5 on nights with and without nocturnist coverage, and adjusted analyses using logistic regression to control for differences in Weekend admission 30 (22.6) 94 (27.7) 0.2 age, sex and Charlson Comorbidity Index score, as well as Charlson Comorbidity 4.6 ± 3.0 4.4 ± 3.1 0.6 weekend admission. We compared the Charlson Comorbidity Index score, mean ± SD Index score and acute hospital length of stay for patients In-hospital death 14 (10.5) 19 (5.6) 0.06 admitted by nocturnists and those admitted by residents using Readmitted 11 (8.3) 20 (5.9) 0.4 t tests in SPSS (SPSS Software, IBM Corporation). Acute length of stay, 7.2 ± 7.0 6.4 ± 7.8 0.3 mean ± SD, d Ethics approval Documented code status 47 (35.3) 186 (54.9) < 0.001 Our survey was considered quality improvement and deemed exempt from ethics review by the University Health Network Note: SD = standard deviation. *Except where noted otherwise. Research Ethics Board (waiver 19-0338).

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Table 2 (part 1 of 2): Faculty survey responses Table 2 (part 2 of 2): Faculty survey responses

No. (%) of No. (%) of respondents* respondents* Question n = 15 Question n = 15

Any experience with Toronto General Hospital 15 (100) Benefits of the Overnight Hospitalist program§ general internal medicine–oncology Overnight Trainees have no need to obtain handover 12 (80) Hospitalist program in clinical experience at from or cross-cover teams overnight Toronto General Hospital Trainees do not need to hand over in the 11 (73) Satisfaction with overall quality of care delivered at 3.6 ± 1.7 morning to more than 1 team Toronto General Hospital, mean Likert score† ± SD Trainees do not need to admit to more than 9 (60) Since development of the Overnight Hospitalist 1 team overnight program, the quality of care delivered at Toronto General Hospital general internal medicine has: Trainees have fewer patients to evaluate and 12 (80) admit from the emergency department Improved 11 (73) overnight Stayed the same 2 (13) Trainees do not need to manage transfers 6 (40) Decreased 2 (13) from other hospitals to the ward overnight The Overnight Hospitalist program has decreased 3.6 ± 1.2 Trainees have fewer distractions from their 11 (73) medical errors, mean Likert score‡ ± SD admitting and call duties when working The Overnight Hospitalist program leads to faster 4.6 ± 0.9 overnight overnight evaluation of patients who are already There is a dedicated physician in house to 13 (87) admitted on the wards, mean Likert score‡ ± SD cover general internal medicine–oncology The Overnight Hospitalist program leads to faster 4.5 ± 0.9 patients (Team 10) evaluation of new patients in the emergency There is a dedicated physician in house to 14 (93) department, mean Likert score‡ ± SD admit general internal medicine–oncology The educational experience on the internal 4.1 ± 1.3 patients (Team 10) medicine CTU has improved as a result of the The physician covering general internal 12 (80) Overnight Hospitalist program, mean Likert medicine–oncology patients (Team 10) and score‡ ± SD admitting new patients to Team 10 is more Effect of the Overnight Hospitalist program on experienced your medical billings There is a greater likelihood that the trainee 4 (27) No change 7 (47) will be able to rest/sleep overnight Decrease 2 (13) There is a greater likelihood that I will be able 6 (40) to rest/sleep overnight Not sure 6 (40) There is a reduced need for trainees to 6 (40) The Overnight Hospitalist program makes the 4.0 ± 1.7 communicate with the hospital more attractive to residents, mean Likert overnight score‡ ± SD The nurses have improved access to 8 (53) The Overnight Hospitalist program has reduced 4.1 ± 1.0 physicians overnight regarding urgent patient trainee burnout, mean Likert score‡ ± SD issues The Overnight Hospitalist program has reduced 3.5 ± 1.0 None of the above 1 (7) faculty/attending physician burnout, mean Likert score‡ ± SD Note: CTU = clinical teaching unit, SD = standard deviation. *Except where noted otherwise. The Overnight Hospitalist program improves my 4.1 ± 1.1 †Rated on a 5-point scale where 1 = very unsatisfied and 5 = very satisfied. satisfaction while attending at Toronto General ‡Rated on a 5-point scale where 1 = strongly disagree and 5 = strongly agree. Hospital, mean Likert score‡ ± SD §Respondents could select all that applied.

Survey responses multiple different teams in the morning; a reduced number of We received responses from 15 (63%) of 24 faculty, of whom admissions per resident; and less cross-coverage of RIU 11 (73%) were full-time faculty members with a median of 9.0 teams, with resultant improvements in care for patients on the (IQR 3.5–15.0) years in practice. Most respondents (11 RIUs. Most respondents perceived a reduction in burnout [73%]) thought that the nocturnist program had improved the among faculty (mean Likert score 3.5 [SD 1.0]) and residents quality of care, 9 (60%) perceived a reduction in medical (mean Likert score 4.1 [SD 1.0]). errors, and 11 (73%) reported an improvement in resident We received completed surveys from 30 (29.4%) of educational experience (Table 2). The perceived benefits of 102 residents, 25 of whom were in the general internal medi- the nocturnist program most commonly selected by the cine program. Given the low response rate, these results were respondents were a reduced need for residents to hand over to considered exploratory. Key findings included a perception of

E670 CMAJ OPEN, 9(2) Research expedited patient evaluation, reduced medical errors, im- Our findings that mortality, hospital length of stay and proved educational experience and reduced burnout. Addi- readmissions were not significantly decreased with the noc­ tional detail is available in Appendix 2, Supplemental Table S1. turnist program are similar to results of Gonzalo and col- Few free-text survey responses were received. leagues.2 However, the difference in the mortality rate between patients admitted by residents and those admitted by Interpretation nocturnists (10.5% v. 5.6%) was quite large clinically. With similar baseline characteristics and postadmission care, it is Our nocturnist program reduced the number of patients unclear what may have been responsible for this difference. It that residents were managing overnight. Faculty perceived is plausible that, given the higher census and longer shifts for that patient safety (in terms of decreased medical errors) Canadian residents than for their US peers, nocturnist pro- and trainee educational experience were improved. The grams may confer larger benefits in Canadian hospitals. Fur- program was associated with increased documentation of ther study is warranted to see whether these differences are code status but, as expected, had no statistically significant replicated in other Canadian centres. effect on mortality, the readmission rate or length of stay. Patients admitted by nocturnists were significantly more Our survey respondents reported a reduction in perceived likely than those admitted by residents to have their code sta- burnout, which may be linked to workload;16,17 however, no tus entered into the electronic health record. Documentation validated tool was used to assess this objectively. Together, of code status is recognized as an important process measure these results suggest that implementation of a nocturnist in and provides tangible evidence of program can address pressing concerns facing Canadian improvements in quality.23,24 Although not altogether surpris- teaching hospitals.18 ing, this finding reinforces the potential benefits of reducing Our finding that our nocturnist program reduced the resident workload and shifting some proportion of new patient census for trainees, although expected, is important. admissions onto experienced hospitalists. In addition to trainees’ experiencing sleep deprivation and It would be important to formally explore potential draw- resultant effects on cognitive performance,19 the complexity backs of nocturnist interventions, including additional hand­ of patients’ conditions is increasing,20 and both societal and overs, less daytime accountability for overnight issues and physician norms and expectations are changing with respect lower billings, highlighting the importance of early faculty to workload and work hours.11 In the United Kingdom, noc- engagement in similar interventions. Graded responsibility is turnal reliance on physicians-in-training motivated the Hos- a hallmark of resident education, and further study is required pital at Night program,21 in which -specific nocturnal to determine whether residents perceive the nocturnist as an physician care was replaced by multidisciplinary teams, some- impediment to the development of clinical independence. times led by nurse practitioners. Overnight staffing changes It is also important to recognize the financial support were only part of the model. The Hospital at Night program required to implement our program and its potential impact has resulted in improvements in hospital-wide care, with net on the “daytime” physician’s income. Having an in-house cost reduction.21 attending physician could reduce the total amount billable to Our study adds to the existing literature regarding the the attending physicians on our RIUs. Incentivizing night impact of nocturnists on quality of care. A survey by work also required a substantial stipend, beyond the fee-for- Trowbridge and colleagues7 showed that the nocturnist pro- service income that was generated. Although residents are gram at an academic medical centre in the US was perceived important care providers, their salaries come from provincial by both residents and faculty to improve the quality of care. monies rather than hospital budgets. Therefore, employing A 2012 survey of US academic hospitalist program directors nocturnists to supplement resident shortages represents a net by Farnan and colleagues8 showed that 61% of programs had new cost to Canadian hospitals. nocturnists and 24% functioned independently from the teaching teams. Those authors found perceived improve- Limitations ments in patient safety but potential reductions in resident The survey response rate from residents was low, and, autonomy; a more recent study showed similar findings.9 Our although the results were mainly congruent with the percep- survey respondents also felt that the introduction of noc­ tions of faculty respondents, we consider them exploratory. turnists allowed for more rapid evaluation of both new and Our surveys were anonymous, which did not allow identifi- existing patients. cation of nonresponders; together with hospital policies on Our finding that faculty perceived favourable impacts on email volume, this limited our ability to remind nonre- education and training is somewhat consistent with prior sponders. Furthermore, multiple residents may have rotated literature.7 For example, a survey of residents at a tertiary several times through the CTU during the study period and care academic medical centre in the US showed that noc­ may have been counted in our denominator more than once. turnists enhanced trainee perceptions of overnight supervi- The low survey response rate from residents may have sion.4 Conversely, Devendra and colleagues22 reported a introduced nonresponder bias, and social desirability bias potential educational cost to nocturnist supervision at an may have influenced how respondents answered our survey urban US medical centre affiliated with an internal medi- questions. However, the survey responses were consistent cine program. with prior survey-based findings of nocturnist programs

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2,7,9 16. Portoghese I, Galletta M, Coppola RC, et al. Burnout and workload among from the US. Given the methodologic limitations inherent workers: the moderating role of job control. Saf Health Work 2014;​ in self-reported surveys, confirmation of the perceived bene- 5:152-7. fits reported by respondents should be confirmed with 17. Dyrbye LN, Burke SE, Hardeman RR, et al. Association of clinical specialty with symptoms of burnout and career choice regret among US resident physi- objective outcome measures. cians [retraction of Dyrbye LN, Burke SE, Hardeman RR. In: JAMA 2018;​ Our study was conducted in a single Canadian teaching 320:1114-30]. JAMA 2018;320:1114-30. hospital; as such, our findings must be generalized with care. 18. Cram P, Chopra V, Soong C, et al. Reimagining in Canadian teaching hospitals: Bold initiatives or tinkering at the margins? J Hosp Med We did not assess the impact of nocturnists on patient satis- 2019;14:251-3. faction or other patient-reported outcomes that might be 19. Levine AC, Adusumilli J, Landrigan CP. Effects of reducing or eliminating 25 resident work shifts over 16 hours: a systematic review. Sleep 2010;33:1043-53. improved by nocturnists. 20. Clark AV, LoPresti CM, Smith TI. Trends in inpatient admission comorbidity and electronic health data: implications for resident workload intensity. J Hosp Conclusion Med 2018;13:570-2. 21. Hamilton-Fairley D, Coakley J, Moss F. Hospital at night: an organizational Implementation of the nocturnist program reduced resident design that provides safer care at night. BMC Med Educ 2014;14(Suppl 1):S17. workload, and improved faculty perceptions of quality of care, 22. Devendra GP, Ortiz GM, Haber LA. By the light of day: quality, safety, and patient safety and educational experiences, as well as docu- education during the overnight admission handoff. Cureus 2019;11:e4529. 23. Brizzi K, Zupanc SN, Udelsman BV, et al. Natural language processing to mentation of code status. Although there was no statistically assess and end-of-life process measures in patients with breast significant effect on patient outcomes, our findings, in combi- cancer with leptomeningeal . Am J Hosp Palliat Care 2020;37:371-6. nation with existing literature, support implementation of 24. Palliative care: care for adults with a progressive, life-limiting illness. Toronto: Health Quality Ontario; 2017. nocturnists across Canadian teaching hospitals. 25. Mathews BK. Capsule Commentary on Gonzalo, et al., Impact of an overnight internal medicine academic hospitalist program on patient outcomes. J Gen References Intern Med 2015;30:1850. 1. ACGME program requirements for graduate medical education in internal medi- cine. Chicago: Accreditation Council for Graduate Medical Education; revised Affiliations: Division of General Internal Medicine and Geriatrics 2020. Available: www.acgme.org/Portals/0/PFAssets/ProgramRequirements/140_ (Dunbar-Yaffe, Wu, Cram), Sinai and University Health InternalMedicine_2020.pdf (accessed 2020 June 15). Network; Division of General Internal Medicine (Dunbar-Yaffe, Wu, 2. Gonzalo JD, Kuperman EF, Chuang CH, et al. Impact of an overnight internal Cram), Department of Medicine, University of Toronto; Division of medicine academic hospitalist program on patient outcomes. J Gen Intern Med Medical Oncology and Hematology (Oza), University Health Network, 2015;30:1795-802. Toronto, Ont.; School of Medicine (Lee-Kim), Queen’s University, 3. Tanios MA, Teres D, Park H, et al. The impact of implementing an intensivist Kingston, Ont. model with nighttime in-hospital nocturnist and effect on ICU outcomes. J Intensive Care Med 2020;35:461-7. Contributors: Richard Dunbar-Yaffe, Victoria Lee-Kim, Robert Wu 4. Haber LA, Lau CY, Sharpe BA, et al. Effects of increased overnight supervi- and Peter Cram conceived of the study. Richard Dunbar-Yaffe and sion on resident education, decision-making, and autonomy. J Hosp Med 2012;​ 7:606-10. Victoria Lee-Kim acquired and interpreted the data. All of the authors 5. Greene JG. Neurohospitalists enhance resident perception of the educational contributed to the study design, data analysis and drafting of the manu- and clinical value of a night float rotation. Neurohospitalist 2013;3:179-84. script, revised the manuscript critically for important intellectual content, 6. Sani SN, Wistar E, Le L, et al. Shining a light on overnight education: hospi- approved the final version to be published and agreed to be accountable talist and resident impressions of the current state, barriers, and methods for for all aspects of the work. improvement. Cureus 2018;10:e2939. 7. Trowbridge RL, Almeder L, Jacquet M, et al. The effect of overnight in-house Funding: Peter Cram is supported by grant R01AG058878 from the US attending coverage on perceptions of care and education on a general medical National Institute of Aging and by a Salary Award from the Temerty Fac- service. J Grad Med Educ 2010;2:53-6. ulty of Medicine, University of Toronto. Robert Wu is supported by an 8. Farnan JM, Burger A, Boonyasai RT, et al.; SGIM Housestaff Oversight Sub- award from the Mak Pak Chiu and Mak-Soo Lai Hing Chair in General committee. Survey of overnight academic hospitalist supervision of trainees. J Hosp Med 2012;7:521-3. Internal Medicine, University of Toronto. 9. Catalanotti JS, O’Connor AB, Kisielewski M, et al. Association between noct- urnist supervision and perceived overnight supervision adequacy among inter- Content licence: This is an Open Access article distributed in accor- nal medicine residents in the US. JAMA 2020;323:1407-9. dance with the terms of the Creative Commons Attribution (CC BY-NC- 10. Walkinshaw E. Middle-of-the-night medicine is rarely patient-centred. CMAJ ND 4.0) licence, which permits use, distribution and reproduction in any 2011;183:1467-8. medium, provided that the original publication is properly cited, the use 11. Temple J. Resident duty hours around the globe: Where are we now? BMC is noncommercial (i.e., research or educational use), and no modifications Med Educ 2014;14(Suppl 1):S8. or adaptations are made. See: https://creativecommons.org/licenses/ 12. Verma AA, Guo Y, Kwan JL, et al. Patient characteristics, resource use and by-nc-nd/4.0/. outcomes associated with general internal medicine hospital care: the General Medicine Inpatient Initiative (GEMINI) retrospective cohort study. CMAJ Data sharing: Anonymized data may be available on request to the corre- Open 2017;5:E842-9. sponding author. 13. Henry DA, Schultz SE, Bhatia S, et al. Payments to Ontario physicians from Ministry of Health and Long-Term Care sources, 1992/93 to 2009/10: ICES Acknowledgement: The authors thank Dr. Brian Hodges for helpful investigative report. Toronto: ICES; 2012. 14. Canadian coding standards for version 2015 ICD-10-CA and CCI. : Cana- comments on the manuscript. dian Institutes for Health Information; 2015. Supplemental information: For reviewer comments and the original 15. Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognos- tic comorbidity in longitudinal studies: development and validation. J Chronic submission of this manuscript, please see www.cmajopen.ca/content/9/2/ Dis 1987;40:373-83. E667/suppl/DC1.

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