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Potentially avoidable admissions to general internal medicine at an academic teaching hospital: an observational study

Alex M. Cressman, Ushma Purohit, Ellen Shadowitz, Edward Etchells, Adina Weinerman, Darren Gerson, Kaveh G. Shojania, Lynfa Stroud, Brian M. Wong and Steve Shadowitz
February 28, 2023 11 (1) E201-E207; DOI: https://doi.org/10.9778/cmajo.20220020
Alex M. Cressman
Department of Medicine (Cressman, Purohit, Etchells, Weinerman, Gerson, Shojania, Stroud, Wong, S. Shadowitz), University of Toronto; Division of General Internal Medicine (Cressman, E. Shadowitz, Etchells, Weinerman, Shojania, Stroud, Wong, S. Shadowitz), Sunnybrook Health Sciences Centre; The Centre for Quality Improvement and Patient Safety (Etchells, Weinerman, Shojania, Wong); Wilson Centre for Education Research (Stroud); Toronto, Ont.
MD MHSc
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Ushma Purohit
Department of Medicine (Cressman, Purohit, Etchells, Weinerman, Gerson, Shojania, Stroud, Wong, S. Shadowitz), University of Toronto; Division of General Internal Medicine (Cressman, E. Shadowitz, Etchells, Weinerman, Shojania, Stroud, Wong, S. Shadowitz), Sunnybrook Health Sciences Centre; The Centre for Quality Improvement and Patient Safety (Etchells, Weinerman, Shojania, Wong); Wilson Centre for Education Research (Stroud); Toronto, Ont.
MD HBSc
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Ellen Shadowitz
Department of Medicine (Cressman, Purohit, Etchells, Weinerman, Gerson, Shojania, Stroud, Wong, S. Shadowitz), University of Toronto; Division of General Internal Medicine (Cressman, E. Shadowitz, Etchells, Weinerman, Shojania, Stroud, Wong, S. Shadowitz), Sunnybrook Health Sciences Centre; The Centre for Quality Improvement and Patient Safety (Etchells, Weinerman, Shojania, Wong); Wilson Centre for Education Research (Stroud); Toronto, Ont.
BSc
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Edward Etchells
Department of Medicine (Cressman, Purohit, Etchells, Weinerman, Gerson, Shojania, Stroud, Wong, S. Shadowitz), University of Toronto; Division of General Internal Medicine (Cressman, E. Shadowitz, Etchells, Weinerman, Shojania, Stroud, Wong, S. Shadowitz), Sunnybrook Health Sciences Centre; The Centre for Quality Improvement and Patient Safety (Etchells, Weinerman, Shojania, Wong); Wilson Centre for Education Research (Stroud); Toronto, Ont.
MD MSc
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Adina Weinerman
Department of Medicine (Cressman, Purohit, Etchells, Weinerman, Gerson, Shojania, Stroud, Wong, S. Shadowitz), University of Toronto; Division of General Internal Medicine (Cressman, E. Shadowitz, Etchells, Weinerman, Shojania, Stroud, Wong, S. Shadowitz), Sunnybrook Health Sciences Centre; The Centre for Quality Improvement and Patient Safety (Etchells, Weinerman, Shojania, Wong); Wilson Centre for Education Research (Stroud); Toronto, Ont.
MD MHSc
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Darren Gerson
Department of Medicine (Cressman, Purohit, Etchells, Weinerman, Gerson, Shojania, Stroud, Wong, S. Shadowitz), University of Toronto; Division of General Internal Medicine (Cressman, E. Shadowitz, Etchells, Weinerman, Shojania, Stroud, Wong, S. Shadowitz), Sunnybrook Health Sciences Centre; The Centre for Quality Improvement and Patient Safety (Etchells, Weinerman, Shojania, Wong); Wilson Centre for Education Research (Stroud); Toronto, Ont.
MBA
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Kaveh G. Shojania
Department of Medicine (Cressman, Purohit, Etchells, Weinerman, Gerson, Shojania, Stroud, Wong, S. Shadowitz), University of Toronto; Division of General Internal Medicine (Cressman, E. Shadowitz, Etchells, Weinerman, Shojania, Stroud, Wong, S. Shadowitz), Sunnybrook Health Sciences Centre; The Centre for Quality Improvement and Patient Safety (Etchells, Weinerman, Shojania, Wong); Wilson Centre for Education Research (Stroud); Toronto, Ont.
MD
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Lynfa Stroud
Department of Medicine (Cressman, Purohit, Etchells, Weinerman, Gerson, Shojania, Stroud, Wong, S. Shadowitz), University of Toronto; Division of General Internal Medicine (Cressman, E. Shadowitz, Etchells, Weinerman, Shojania, Stroud, Wong, S. Shadowitz), Sunnybrook Health Sciences Centre; The Centre for Quality Improvement and Patient Safety (Etchells, Weinerman, Shojania, Wong); Wilson Centre for Education Research (Stroud); Toronto, Ont.
MD MEd
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Brian M. Wong
Department of Medicine (Cressman, Purohit, Etchells, Weinerman, Gerson, Shojania, Stroud, Wong, S. Shadowitz), University of Toronto; Division of General Internal Medicine (Cressman, E. Shadowitz, Etchells, Weinerman, Shojania, Stroud, Wong, S. Shadowitz), Sunnybrook Health Sciences Centre; The Centre for Quality Improvement and Patient Safety (Etchells, Weinerman, Shojania, Wong); Wilson Centre for Education Research (Stroud); Toronto, Ont.
MD
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Steve Shadowitz
Department of Medicine (Cressman, Purohit, Etchells, Weinerman, Gerson, Shojania, Stroud, Wong, S. Shadowitz), University of Toronto; Division of General Internal Medicine (Cressman, E. Shadowitz, Etchells, Weinerman, Shojania, Stroud, Wong, S. Shadowitz), Sunnybrook Health Sciences Centre; The Centre for Quality Improvement and Patient Safety (Etchells, Weinerman, Shojania, Wong); Wilson Centre for Education Research (Stroud); Toronto, Ont.
MDCM MSc
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    Figure 1:

    Avoidable admissions screening, flagging and case review methodology. 1) Our method captured GIM admissions from the preceding 24 hours (8 am to 8 am) and excluded patients transferred from other institutions, admitted from the clinic or transferred from the intensive care unit or surgical services. Each morning, 7 days a week, we randomly selected 2 GIM teams through random number generation. 2) We emailed staff physicians at 8 am with a prepopulated list of their admissions, asking them to review our definition of a potentially avoidable admission and to flag candidates. 3) The email response from the staff physician was reviewed including the rationale for avoidability and a list was compiled of all flagged candidates. 4) For each flagged candidate, we reviewed the admission consultation note and electronic medical record up to the time of admission decision-making to prepare a case review. 5) A semistructured debrief was conducted with the admitting resident physician within 24–48 hours of the admission date. We explored case details and contributing patient, provider and system factors. 6) At least 3 members of the research team met weekly and reviewed case summaries of flagged candidates along with data obtained from debriefs. We estimated the degree of avoidability of each candidate (1 = no evidence of avoidability, 2 = avoidability unlikely, 3 = avoidability likely and 4 = certain evidence of avoidability). A final decision of avoidability was determined by consensus vote. For candidates with avoidability scores of 3 or more, we discussed patient, provider and system factors. Note: GIM = general internal medicine.

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    Table 1:

    Patient characteristics, health care utilization and discharge disposition

    CharacteristicTotal cohort
    n = 601
    Nonavoidable
    n = 534
    Avoidable
    n = 67
    p value
    Age, yr, mean ± SD71 ± 1872 ± 1865 ± 200.007
    Sex, female, no. (%)316 (53)255 (48)37 (55)0.6
    Time of admission, no. (%)
     Daytime*83 (14)76 (14)7 (10)0.6
     Evening†190 (32)170 (31)20 (30)
     Night‡328 (55)288 (54)40 (60)
    Day of week, no. (%)
     Weekday§393 (65)352 (66)41 (61)0.4
     Weekend¶208 (35)182 (34)26 (39)
    ED consults day of admission, mean ± SD15 ± 315 ± 316 ± 30.5
    ED consults in preceding 48 h, mean ± SD28 ± 528 ± 426 ± 40.4
    CIHI Case Mix Groups**1.09 (1.34)1.16 (1.34)0.49 (1.02)< 0.001
    Length of stay, h, median (IQR)95 (159)105 (158)29 (91)< 0.001
    Resource Intensity Weights††1.42 (2.54)1.50 (2.68)0.72 (2.54)< 0.001
    Health care utilization, no. (%)
     CT, head47 (8)4 (8)3 (4)0.3
     MRI, brain and spine61 (10)50 (9)11 (17)0.07
    Discharge destination,‡‡ no. (%)
     Home with supports123 (20)112 (21)11 (16)0.008
     Home without supports312 (52)271 (51)41 (61)
     Assisted living51 (8)43 (8)8 (12)
     Rehabilitation61 (10)57 (11)4 (6)
     Palliative care unit13 (2)13 (2)0
     Transitional unit9 (2)9 (2)0
     Another care facility6 (1)6 (1)0
     Deceased16 (3)16 (3)0
     Against medical advice10 (2)7 (1)3 (4)
    • Note: CIHI = Canadian Institute for Health Information, CT = computed tomography, ED = emergency department, IQR = interquartile range, MRI = magnetic resonance imaging, SD = standard deviation.

    • ↵* Daytime (8 am to 4:59 pm).

    • ↵† Evening (5 pm to 12 am).

    • ↵‡ Night (12:01 am to 7:59 am).

    • ↵§ Weekday (Monday, 8 am to Friday, 5 pm).

    • ↵¶ Weekend (Friday, 5:01 pm to Monday, 7:59 am). No significant findings comparing daytime versus evening or night, or typical working hours versus evening and weekend.

    • ↵** CIHI Case Mix Groups are a commonly used health service methodology designed to aggregate acute care inpatients with similar clinical- and resource-utilization characteristics for comparisons.

    • ↵†† Resource Intensity Weights is a CIHI-derived estimate of the cost to provide care relative to the average typical inpatient.

    • ↵‡‡ χ2 test compared home and home with supports/nursing home/retirement home/group home versus all other locations (rehab, transitional unit, etc.).

    • View popup
    Table 2:

    Factors associated with potentially avoidable admissions

    FactorPotentially avoidable admissions, no (%)*
    n = 67
    Health system
    Government directive of 4-hour limit for admission decision-making28 (42)
    Subspecialist request to admit22 (33)
    Overcrowding in the ED13 (19)
    Lack of available services to determine suitability of safe discharge10 (15)
    Poor access to urgent outpatient investigations10 (15)
    Unavailable specialist or ancillary care8 (11)
    Lack of timely access to community-based resources4 (6)
    Provider
    Diagnostic and therapeutic uncertainty38 (57)
    Perceived need for short-term patient monitoring32 (47)
    High number of consults during shift, admitted to increase efficiency with workload12 (18)
    Resident–faculty culture (admitting to avoid overnight call to staff physician)4 (6)
    Uncertainty regarding patient preference2 (3)
    Patient and family
    Frailty (physical or cognitive)16 (24)
    Health literacy: language barrier10 (15)
    Socially isolated; lack of social support; unsafe to discharge without access to caregivers4 (6)
    Lack of access to housing/transportation home1 (1)
    Mental illness or substance use; concern re: risk of harm1 (1)
    • Note: ED = emergency department.

    • ↵* More than 1 factor may have been selected for each avoidable admission.

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CMAJ Open: 11 (1)
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1 Jan 2023
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Potentially avoidable admissions to general internal medicine at an academic teaching hospital: an observational study
Alex M. Cressman, Ushma Purohit, Ellen Shadowitz, Edward Etchells, Adina Weinerman, Darren Gerson, Kaveh G. Shojania, Lynfa Stroud, Brian M. Wong, Steve Shadowitz
Jan 2023, 11 (1) E201-E207; DOI: 10.9778/cmajo.20220020

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Potentially avoidable admissions to general internal medicine at an academic teaching hospital: an observational study
Alex M. Cressman, Ushma Purohit, Ellen Shadowitz, Edward Etchells, Adina Weinerman, Darren Gerson, Kaveh G. Shojania, Lynfa Stroud, Brian M. Wong, Steve Shadowitz
Jan 2023, 11 (1) E201-E207; DOI: 10.9778/cmajo.20220020
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