The National Institute for Health and Care Excellence recommends documenting all delirium episodes in the discharge summary using the term “delirium”. Previous studies demonstrate poor delirium documentation rates in discharge summaries and no studies have assessed delirium documentation quality. The aim of this study was to determine the frequency and quality of delirium documentation in discharge summaries and explore differences between medical and surgical services.
Methods
This was a multi-center retrospective chart review. We included 110 patients aged ≥ 65 years identified to have delirium during their hospitalization using the Chart-based Delirium Identification Instrument (CHART-DEL). We assessed the frequency of any delirium documentation in discharge summaries, and more specifically, for the term “delirium”. We evaluated the quality of delirium discharge documentation using the Joint Commission on Accreditation of Healthcare Organization’s framework for quality discharge summaries. Comparisons were made between medical and surgical services. Secondary outcomes included assessing factors influencing the frequency of “delirium” being documented in the discharge summary.
Results
We identified 110 patients with sufficient chart documentation to identify delirium and 80.9 % of patients had delirium documented in their discharge summary (“delirium” or other acceptable term). The specific term “delirium” was reported in 63.6 % of all delirious patients and more often by surgical than medical specialties (76.5 % vs. 52.5 %, p = 0.02). Documentation quality was significantly lower by surgical specialties in reporting delirium as a diagnosis (23.5 % vs. 57.6 %, p < 0.001), documenting delirium workup (23.4 % vs. 57.6 %, p = 0.001), etiology (43.3 % vs. 70.4 %, p = 0.03), treatment (36.7 % vs. 66.7 %, p = 0.02), medication changes (44.4 % vs. 100 %, p = 0.002) and follow-up (36.4 % vs. 88.2 %, p = 0.01).
Conclusions
The frequency of delirium documentation is higher than previously reported but remains subpar. Medical services document delirium with higher quality, but surgical specialties document the term “delirium” more frequently. The documentation of delirium in discharge summaries must improve to meet quality standards.
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Abkürzungen
NICE
National Institute for Health and Care Excellence
PCP
Primary care provider
ICU
Intensive care unit
CHART-DEL
Chart-Based Delirium Identification Instrument
JCAHO
Joint Commission on Accreditation of Healthcare Organizations
HPI
History of presenting illness
Introduction
Delirium is an acute and fluctuating disturbance in attention and cognition, precipitated by a physiologic, pharmacologic or environmental insult [1]. It affects 11–51 % and 29–64 % of surgical and medical patients, respectively [2]. Older adults are at risk for delirium, which is associated with increased length of stay [3‐5], institutionalization [3, 6], mortality [6‐8] and cognitive impairment [7, 9].
The National Institute for Health and Care Excellence (NICE) established quality standards for the prevention, diagnosis and management of delirium. These standards recommend delirium be communicated to the patient’s primary care provider (PCP) using the term “delirium” in the discharge summary [10].
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The frequency of delirium documentation in discharge summaries has varied in previous studies, with documentation of delirium (symptoms or diagnosis) ranging from 7 to 44 % for patients identified to have delirium either through clinical diagnosis or retrospective chart review. Only a small number of patients (3–16 %) had delirium documented specifically as a diagnosis in the discharge summary [11‐16], and the term “delirium” was used in 40 % of cases [12]. Higher delirium documentation rates are associated with structured discharge summaries, female patients, and greater delirium severity [12].
We did not find studies describing the quality of delirium documentation in either medical or surgical discharge summaries; however, literature suggests the quality of discharge summaries across various specialties is subpar [17‐20]. Poor discharge documentation is associated with hospital readmissions [18, 21] and adverse events [22]. Given 32–84 % of delirium cases persist after discharge [8, 23, 24], the discharge summary should be used to highlight necessary follow-up by the PCP or other consultants.
Our primary objectives were to characterize delirium documentation in discharge summaries by assessing its frequency and quality, and to compare documentation between medical and surgical services. Secondly, we aimed to identify factors influencing delirium documentation.
Methods
We employed a retrospective chart-review design. Patients aged ≥ 65 years admitted to any one of three academic tertiary acute care hospitals by a medical (General Internal Medicine/Clinical Teaching Unit, Hospitalist, Neurology, Cardiology) or surgical (General Surgery, Orthopedic Surgery, Cardiac Surgery, Neurosurgery) service between 1 April and 30 June 2016 were screened for eligibility. Patients transferred from an intensive care unit (ICU) to one of the above services were included. Admissions restricted to the ICU, patients without a discharge summary and who died in hospital were excluded. Our study was approved by each institution’s research ethics board prior to commencement with a waiver for individual patient consent.
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Screening for delirium
We applied the validated Chart-Based Delirium Identification Instrument (CHART-DEL) (sensitivity 74 %, specificity 83 %) to identify delirium [25]. An assessment was made to determine the probability of delirium, (for further details on this methodology, see Additional file 1). To increase sensitivity, we included only “definite” or “probable” cases using CHART-DEL criteria. We also excluded any cases of delirium identified through the CHART-DEL, that were not recognized by a physician during the patient’s hospitalization (n = 2). Some cases of delirium were diagnosed by a consulting service, but not recognized by the attending team; we opted to include these cases of delirium given they had received a formal diagnosis for delirium. Parallel ratings were completed for at least ten charts between an expert rater (e.g. geriatrician) and each research assistant to ensure congruency in the CHART-DEL classification [26].
Data collection
Baseline demographic data was collected on each patient. Additionally, we collected data on delirium episodes, including its time of onset, work-up, diagnosis, management, resolution and duration.
Frequency of delirium documentation in the discharge summary
We assessed each discharge summary for delirium documentation. Delirium was considered documented if it was reported anywhere in the discharge summary. This included the use of “delirium” specifically, other terms such as “confusion”, and those listed as synonymous with delirium in Appendix II of the CHART-DEL manual [26].
Quality of delirium documentation in the discharge summary
There are no validated tools to assess the quality of delirium documentation. Using the standards set by the Joint Commission on Accreditation of Healthcare Organizations (JCAHO) [19], designed to guide quality discharge documentation, we identified criteria to assess the quality of delirium documentation (Table 1) using definitions by Kind et al. [19] The tool was approved by a geriatric expert panel and was applied to each discharge summary. Comparisons were made between medical and surgical groups.
Table 1
Consensus criteria to assess the frequency and quality of delirium documentation in discharge summaries
JCAHO requirementa
Consensus criteria specific for delirium
Reason for Hospitalizationb
Chief complaint
AND/OR
HPI
Documentation of delirium as a chief complaint
Documentation of the HPI for delirium episode
Significant Findings
Primary diagnosis
Documentation of delirium as a primary diagnosis (if delirium was the reason for admission)
Documentation of delirium as a secondary diagnosisc
Procedures Performed
Hospital course
AND/OR
Hospital consults
AND/OR
Hospital procedures
Documentation of delirium in a problem list format
Documentation of the onset of delirium
Documentation of the cause of delirium
Documentation of any specialist’s consultations in managing the delirium
Documentation of completed delirium work-up investigations
Documentation of received treatments for the primary cause of delirium
Patient’s Condition at Discharge
Documentation of current state of delirium (resolved or not)
Documentation of patient’s functional status at
discharge
Patient/Family Instructions
Discharge medications
AND/OR
Activity orders
AND/OR
Therapy orders
AND/OR
Dietary instructions
AND/OR
Plans for medical follow-up
Documentation of counselling/education provided to patient’s family or caregiver regarding delirium
Documentation of medication changes, as relevant to delirium
Documentation of rationale for medication changes for delirium
Documentation of recommended medication follow-up for delirium
Documentation of recommended cognitive follow-up for delirium
Documentation of any referrals/follow-up with specialists for delirium
Documentation of patient’s primary care provider
Physician Signature
Documentation of electronic signature of discharge summary author
bIf symptoms of delirium were part of the patient’s chief complaint or HPI, it was expected to be documented in the discharge summary as such
cDocumenting delirium as a secondary diagnosis was expected for cases where delirium was not deemed to be the primary reason for admission
Data analysis
We performed statistical analyses using R, version 3.6.0. Descriptive statistics were used to analyze patient characteristics, delirium characteristics, and discharge summary documentation. Analysis of delirium quality measures deserves special mention. If certain quality components were not completed during hospitalization (e.g. delirium work-up), the patient would be omitted from the proportion calculation for that given component. This was because we would not expect the attending team to document a component that they did not complete. Similarly, if no consultant or medication changes were applicable with respects to delirium, we would not expect documentation. Further detail on the definitions for each quality component is available in Additional File 2. However, all patients were included in the proportion calculation to assess whether delirium was documented anywhere in the discharge summary, as a diagnosis, or listed in a problem list.
The dataset was analyzed collectively and grouped to explore the a priori hypothesis that delirium documentation would differ between medical and surgical services. A comparison between groups was done using the Student’s t-test for continuous variables and Chi-squared or Fisher’s exact test for categorical variables. The level of significance was set at a p-value of < 0.05.
Univariate logistic regression modelling was used to determine the relationship between documentation of “delirium” specifically in the discharge summary, and various factors based on a priori hypotheses. Some variables were selected based upon findings from previous studies [12, 27] and others based on consensus between researchers.
Sample size
Based on our a priori hypotheses that the frequency and quality of delirium documentation would differ between medical and surgical services, we aimed for a sample size that would provide adequate power for this. Assuming alpha = 0.05 and power = 0.90 with a difference in delirium documentation of 30 %, we aimed for a sample of 56 patients in each group. We achieved 59 medical patients, and 51 surgical patients.
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Results
Of 1 168 patient charts screened, 118 patients had “definite” or “probable” delirium as identified through the CHART-DEL. We included 110 patients. A total of 8 charts were omitted, 6 charts due to incomplete data abstraction and 2 charts because delirium was not recognized by any physician in the care team. Patients had a mean age of 79.6 years and 55.5 % were male (Table 2). We captured patients with all types of delirium, with 30.9 % hypoactive, 25.5 % hyperactive and 43.6 % mixed cases.
Table 2
Study population demographic information
Characteristic
Total (n = 110)
Medicine (n = 59)
Surgery (n = 51)
p-valuea
Age, mean (SD)
79.6 (8.4)
81.0 (7.7)
78.0 (9.0)
0.06
Male sex, n (%)
61 (55.5)
32 (54.2)
29 (56.9)
0.93
English as primary languageb, n(%)
72 (66.7)
39 (68.4)
33 (64.7)
0.84
Baseline cognitionc, n (%)
0.07
Dementia
28 (25.5)
20 (33.9)
8 (15.7)
Mild cognitive impairment
4 (3.6)
2 (3.4)
2 (3.9)
Psychiatric illness
14 (12.7)
5 (8.5)
9 (17.6)
Other cognitive impairment
18 (16.4)
12 (20.3)
6 (11.8)
No impairment
46 (41.8)
20 (33.9)
26 (51.0)
Baseline functional statusb d, n (%)
< 0.001
Independent
28 (28.9)
10 (19.2)
18 (40.0)
Impairment in 1–2 domains
44 (45.4)
19 (36.5)
25 (55.6)
Dependent in ≥ 3 domains
25 (25.8)
23 (44.2)
2 (4.4)
Pre-admission residenceb e, n (%)
0.03
Home
84 (77.1)
40 (67.8)
44 (88.0)
Nursing home/LTC
13 (11.9)
11 (18.6)
2 (4.0)
Retirement home
9 (8.3)
5 (8.5)
4 (8.0)
Other
3 (2.7)
3 (5.1)
Pre-admission social supportsb f, n (%)
0.07
Alone
22 (26.5)
8 (19.5)
14 (33.3)
Alone with external supports
12 (14.5)
9 (22.0)
3 (7.1)
Living with family
32 (38.6)
13 (31.7)
19 (45.2)
Living with family with external supports
17 (20.5)
11 (26.8)
6 (14.3)
History of previous deliriumb, n (%)
32 (33.3)
18 (36.7)
14 (29.8)
0.61
Charlson Comorbidity Index, median [IQR]
2.0 [1.0–4.0]
2.0 [1.0–4.0]
2.0 [1.0–3.0]
0.18
Number of home medications, mean (SD)
8.9 (4.9)
9.3 (5.5)
8.4 (4.1)
0.31
Length of stay, median days [IQR]
8.5 [5.0, 22.8]
7.0 [3.0-18.5]
13.0 [7.0-28.5]
0.01
LTC long term care
aComparing medicine vs. surgery
bIndicates missing data (n). Language (n = 2), Functional status (n = 13), Residence (n = 1), Supports (n = 1), Previous delirium (n = 14). Proportions were calculated without missing data
cBaseline cognition was assessed based on the patient’s documented past medical history. Psychiatry illness (inclusive of any DSM5 diagnosis), other cognitive impairment (included documentation of memory issues/decline without formal diagnosis of mild cognitive impairment or dementia)
dBaseline functional status was assessed based on their independence with basic and instrumental activities of daily living (BADLs, IADLs). Independent (no BADL or IADL impairment), impairment (assistance with one to two BADLs or one to two IADLs), dependent (assistance with more than two BADLs)
eOther category included complex continuing care, long-term care unit in hospital
fBaseline social supports were evaluated for patients who resided at home (n = 84) and excluded those living in institutionalized care. External supports included both government and privately funded services (e.g. personal support worker, home care)
Frequency of delirium documentation in the discharge summary
The overall documentation rate of delirium in discharge summaries was 80.9 % (“delirium” and other terms accepted). Amongst discharge summaries with delirium documentation (n = 89), most used the word “delirium” (n = 70, 78.7%) compared to another acceptable term (n = 19, 21.3 %). The overall frequency of delirium documentation (“delirium” and other terms) did not differ significantly between medical and surgical services (74.6 % vs. 88.2 %, p = 0.12, Fig. 1).
Fig. 1
Frequency of delirium documentation in discharge summaries belonging to delirious patients identified using the CHART-DEL
×
Quality of delirium documentation in the discharge summary
The specific term “delirium” was documented in 63.6 % of discharge summaries (n = 70) belonging to patients identified to have delirium through chart review (n = 110). When comparing between services, surgical services documented “delirium” more than medical services (76.5 % vs. 52.5 %, p = 0.02) (Fig. 1). In cases where delirium symptoms developed prior to admission (n = 47), 66.0 % of discharge summaries documented it within the chief complaint or HPI.
Across discharge summaries, only 30.9 % had “delirium” documented as a diagnosis. Not all individuals had delirium as their primary reason for admission, especially since delirium is often secondary to a comorbid process. When delirium was the stated reason for admission (n = 38), 23 patients (60.5 %) had delirium appropriately documented as a primary diagnosis in the discharge summary. For all other cases (n = 72), 23 patients (31.9 %) documented it as a secondary diagnosis. Acceptable documentation as a secondary diagnosis included having delirium mentioned in a problem list or dedicated paragraph discussing delirium.
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When describing delirium within the hospital course, medical services more often documented the underlying etiology, work-up and treatment of delirium. A problem list identifying delirium was included in 31.8 % of charts, with significantly higher rates by medical services (p = 0.01). The onset of delirium and consultant involvement was documented in 63.6% and 38.2 % of all discharge summaries respectively (Table 3).
Table 3
Quality components of delirium documentation in discharge summaries
Quality component
n (%)a
Total (n = 110)
Medicine (n = 59)
Surgery (n = 51)
p-valueb
Documented as chief complaint or HPI
31/47 (66.0)
29/42 (69.0)
2/5 (40.0)
0.32
Documented as diagnosis
“Delirium”
34/110 (30.9)
22/59 (37.3)
12/51 (23.5)
0.18c
“Delirium” or other term
46/110 (41.8)
34/59 (57.6)
12/51 (23.5)
< 0.001d
Not documented
64/110 (58.2)
25/59 (42.4)
39/51 (76.5)
Documented as 1º diagnosise
23/38 (60.5)
21/34 (61.8)
2/4 (50.0)
1.00
Documented as 2º diagnosise
23/72 (31.9)
13/25 (52.0)
10/47 (21.3)
0.02
Documented in problem liste
35/110 (31.8)
26/59 (44.1)
9/51 (17.6)
0.01
Documented delirium onset
70/110 (63.6)
41/59 (69.5)
29/51 (56.9)
0.24
Documented delirium etiology
51/84 (60.7)
38/54 (70.4)
13/30 (43.3)
0.03
Documented consulting service involvement
21/55 (38.2)
9/27 (33.3)
12/28 (42.9)
0.65
Documented delirium work-up
45/106 (42.5)
34/59 (57.6)
11/47 (23.4)
0.001
Documented delirium treatment
47/84 (56.0)
36/54 (66.7)
11/30 (36.7)
0.02
Documented delirium status at discharge
56/84 (66.7)
30/46 (65.2)
26/38 (68.4)
0.94
Documented functional status at discharge
37/110 (33.6)
17/59 (28.8)
20/51 (39.2)
0.34
Documented relevant medication changes
20/25 (80.0)
16/16 (100.0)
4/9 (44.4)
0.002
Documented reason for medication changes
14/25 (56.0)
12/16 (75.0)
2/9 (22.2)
0.02
Documented patient or family instructions
52/110 (47.3)
23/59 (40.0)
29/51 (56.9)
0.06
Documented any follow-up recommendations
19/28 (67.9)
15/17 (88.2)
4/11 (36.4)
0.01
Documented follow-up for psychoactive medications
9/12 (75.0)
9/9 (100.0)
0/3 (0.0)
0.01
Documented follow-up for cognitive status
5/11 (45.5)
3/5 (60.0)
2/6 (33.3)
0.57
Documented follow-up with specialist
8/10 (80.0)
6/6 (100.0)
2/4 (50.0)
0.13
Copied to primary care provider
89/110 (80.9)
54/59 (91.5)
35/51 (68.6)
0.01
Signed by author
110/110 (100.0)
59/59 (100.0)
51/51 (100.0)
Denominators for each quality component differed, depending on its applicability to the patient. For instance, if no changes were made to psychoactive medications, then this would not be applicable and expected to be documented in the discharge summary
aComponents based on the JCAHO requirements for a quality discharge summary, as defined by Kind et al. [19] and made specific for delirium. See Additional File 2 for full definitions developed specifically for delirium
bComparing medicine vs. surgery
cWhen compared to grouped data from other term and no delirium documentation
dWhen compared to no delirium documentation
eDocumentation of the term “delirium” or other term
The resolution status of delirium and functional status at discharge was documented in 66.7 and 33.6 % of discharge summaries, respectively. Medical services documented medication changes in 100 % of applicable discharge summaries, whereas surgical services in 44.4 % (p = 0.002).
About half (47.3 %) of discharge summaries included patient or family instructions pertaining to delirium. When any delirium follow-up was recommended (n = 28) (e.g. cognitive testing, medication review or specialist appointment), medical services had significantly higher documentation rates than surgical services (88.2 % vs. 36.4 %, p = 0.01).
Factors impacting delirium documentation in the discharge summary
The strongest univariate predictor for documenting “delirium” in the discharge summary, was being admitted under a surgical service (OR 2.94, 95 % CI [1.29–6.70]). Negative predictors included patients who presented to hospital with symptoms of delirium (OR 0.33, 95 % CI [0.15–0.73]) and those who had delirium as their presenting reason for admission to hospital (OR 0.41, 95 % CI [0.18–0.93]) (Table 4).
Table 4
Variables affecting the documentation of “delirium” specifically in the discharge summary
Variable
Univariate odds ratio (95 % CI)
Admitted to surgical service
2.94 (1.29–6.70)
Male sexa
1.21 (0.55–2.63)
Formal diagnosis of delirium madeb
2.27 (0.14–37.46)
No history of dementia
0.96 (0.39–2.36)
Presence of delirium symptoms prior to admission
0.33 (0.15–0.73)
Delirium as the reason for admission to hospital
0.41 (0.18–0.93)
Delirium Type
Hypoactive delirium
0.71 (0.29–1.78)
Hyperactive delirium
0.90 (0.34–2.40)
Mixed
Reference level
CCI, per 1-point increase
0.89 (0.74–1.08)
Structured discharge summarya c
0.55 (0.18–1.70)
LOS, per day
1.03 (0.999–1.06)
Duration of deliriumd
0.996 (0.98–1.01)
Discharge summary authore
Early trainee
0.73 (0.29–1.85)
Allied Health
4.62 (0.93–22.89)
Staff
0.65 (0.21–2.04)
Senior Resident
Reference level
CCI Charlson Comorbidity Index, LOS length of stay
aVariable identified previously to affect the rate of delirium documentation in discharge summaries [12, 27]. All other variables were selected based on consensus between researchers
bDiagnosis made by any involved physician using specifically the term “delirium”
cDefined as having standardized discharge summary headings (e.g. Chief complaint, HPI, Medications…etc)
dDefined as proportion of hospital stay
eEarly trainee = medical students, Year One residents; Senior trainees = Year Two and higher residents, fellows; Allied health = physician assistants, nurse practitioners.
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Discussion
Our study allowed us to perform a quality assessment of discharge summary documentation for delirium in a small sample size (n = 110). Of hospitalized patients with clear evidence of delirium documented in their chart, 80.9 % had some level of delirium documentation in their discharge summaries. The term “delirium” was documented more frequently by surgical than medical services. However, medical services demonstrated a higher quality of delirium documentation, specifically with documenting delirium as a diagnosis (“delirium” or other terms), inclusion in a problem list, and the delirium work-up, etiology, treatment, related medication changes and follow-up plan.
Frequency of delirium documentation in the discharge summary
Our results demonstrate a substantial improvement in the frequency of delirium documentation in discharge summaries from previous [11, 12, 28]. This higher rate of delirium discharge documentation could be explained by our methodology. While other studies identified delirium solely through clinical assessments [11, 12], our use of the CHART-DEL is inherently linked to improved delirium documentation throughout the admission, which could in turn increase documentation in the discharge summary.
Quality of delirium documentation in the discharge summary
To our knowledge, our study is the first to assess the quality of delirium documentation in discharge summaries, and our results identify areas needing improvement. An important component of quality documentation is to specifically document “delirium”, as recommended by the NICE quality standards for delirium. Additionally, an expert consensus developed by a multi-disciplinary panel recommends the use of “delirium” when all criteria set by the fifth version of the Diagnostic and Statistical Manual are met. The term “acute encephalopathy” should be used to refer to the underlying processes in the brain, which result in delirium [29]. Although surgical services frequently documented “delirium”, remaining quality components were lacking. For instance, delirium was infrequently documented as a diagnosis. This may reflect that it is regarded as a postoperative complication, rather than a diagnosis with its own long-term sequelae and required follow-up [30].
Surgical services poorly documented medication changes or follow-up instructions relating to delirium (Table 3). This is not surprising as it has previously been shown that only 12.4 % of delirious patients started on an antipsychotic in hospital have discontinuation instructions documented in the discharge summary [31]. The effect of discharge prescription instructions on patient outcomes or PCP prescribing patterns has not been studied to our knowledge; however, PCPs do appreciate pharmacotherapeutic advice and documented reasons for medication changes upon discharge [32].
A qualitative study investigating barriers to quality orthopedic discharge summaries suggested improvements could be made through use of discharge summary templates and co-authorship, given the multiple clinicians involved with differing expertise [33‐35]. However, often no consultant is involved in delirium management, thus other strategies are needed to improve documentation.
The documentation of delirium in discharge summaries remains subpar. Our study was completed at an academic centre where most discharge summaries are completed by trainees. Effective strategies to improve the quality of discharge summaries include formalized teaching curriculum or workshops [36‐38], quality improvement projects [39, 40], and performing audits with feedback sessions [41]. These strategies could be implemented to improve delirium documentation during residency and thereafter.
Factors impacting the frequency of delirium documentation in the discharge summary
Surgical services demonstrated a higher quality of delirium documentation with respect to using the specific term “delirium” (Fig. 1). In our univariable model, authorship by a surgical service was a positive predictor for having “delirium” documented, which perhaps demonstrates recognition of delirium as a relevant and common post-operative complication (Table 4).
Delirium symptoms at the time of presentation and delirium being the reason for admission to hospital were both variables associated with significantly reduced documentation of “delirium” in the discharge summary. This finding is unexpected but highlights the inaccuracies in discharge summary documentation for patients with delirium. Delirium is a syndrome that occurs secondary to another physiological, environmental or drug-induced insult, and therefore, after the work-up of delirium is completed, reasonably, the primary issue may receive greater emphasis in the discharge summary. Despite this, we believe delirium and specifically using the term “delirium” should still be documented in the discharge summary.
Limitations
Limitations of our retrospective study include its inability to identify all cases of delirium within a time frame. Although the CHART-DEL is validated for identifying delirium with a specificity of 83 % [25], it relies on accurate chart reporting throughout hospitalization. This omits patients with insufficient delirium documentation and lowers our overall reported rates of delirium and possibly increases our reported rates of delirium documentation in discharge summaries. We recognize as well that varying hospital practices, such as mandatory delirium screening with a validated tool or routine involvement of geriatricians, could influence the rates of delirium documentation through improved recognition. There could have been an association between accurate delirium documentation in the chart and discharge documentation frequency or quality, but this relationship could not be elucidated as our methodology does not capture patients with delirium but poor chart documentation.
We acknowledge our methodology represents only a selected patient sample presenting with more severe or hyperactive delirium, and therefore greater chart documentation of confusion symptoms than compared to patients with less severe or hypoactive delirium. However, 30.9% of our patients were identified to have hypoactive delirium and 25.0 % had hyperactive delirium. This proportion is similar to previous proportions reported in previous studies [42‐44]. We did not include an assessment of delirium severity in our data collection.
Due to the time required for chart review, our sample size was modest, which limited our subgroup analysis (i.e. medicine vs. surgery) and prohibited a multivariable analysis that would produce meaningful findings. In assessing factors impacting documentation, our target sample size was not powered for our univariable regression analysis; rather only to analyze our primary outcomes. Additionally, these results should be interpreted in the setting of our selected patient population, whose delirium was detected and therefore adequately documented in the chart. Consequently, the results of our univariable regression model investigating variables associated with “delirium” documentation in the discharge summary (Table 4) must be viewed as hypothesis-generating and interpreted carefully.
Lastly, we recognize in the United States, documenting “metabolic encephalopathy”, rather than “delirium”, is preferential due to billing and reimbursement purposes [29]. In Canada, delirium does not affect funding in this manner. Though our primary outcome assessed for the term “delirium”, the CHART-DEL also accepts “metabolic encephalopathy” as an alternate term. Though we did not observe use of this term, our methodology would have captured charts documenting ‘metabolic encephalopathy’ within the subset of discharge summaries with “delirium” or another term accepted.
Conclusions
Our study of patients with documented evidence of delirium in the medical record demonstrates higher rates of delirium documentation in the discharge summary compared to previous. However, multiple gaps remain, and improvements are necessary to meet quality standards. Although medical services document delirium with greater quality than surgical services, both services frequently lack detail needed to ensure comprehensive follow-up. Strategies to improve the frequency and quality of delirium documentation include use of templates and formalized education plans. Further work is required to determine the impact of delirium documentation on patient outcomes.
Acknowledgements
We are gracious for the financial support for this project, provided by the Savlov/Schmidt Scholars Program in Geriatrics offered through the Sinai Health System and University Health Network to AC and [VC]1, as well as the Comprehensive Research Experience for Medical Students Office through the University of Toronto, Faculty of Medicine to [VC]1. We thank Dr. Rashmi Prashad for her contributions with the conception of the research project, Asma Hasan for her contributions to patient screening and data collection, and the Sinai Geriatrics research group who supported the project.
Declarations
Ethics approval and consent to participate
Prior to study commencement, our study protocol was approved by the research ethics boards of both hospital networks where our study was carried out. This included The Mount Sinai Hospital Research Ethics Board (REB#16-0260-C) and The University Health Network Research Ethics Board (REB# 16-5750.5). Both research ethics boards granted permissions to access and use the medical records that were analyzed in this study and granted a waiver for individual patient consent to participate.
Consent for publication
Not Applicable.
Competing interests
The authors of this manuscript have no financial or non-financial conflicts of interests to disclose.
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