INTRODUCTION
Older adults constitute a large proportion of the patients in the emergency department's (ED's) short-stay unit.1 A short-stay unit provides targeted care for 48 to 72 hours—a critical period for non–disease-specific assessment of physical performance.2 Despite the importance of physical performance assessment in predicting limitations in mobility, length of stay, and discharge destination,3–5 only a few physical performance measures for acutely admitted older adults are validated. In addition, the validated performance measures are time consuming due to their many items.6 , 7
The 30-second Chair-Stand Test (30s-CST) is a single-item physical performance tool for the assessment of lower body strength. It is performed by counting the number of stands completed in 30 seconds with hands crossed against the chest.8 The simplicity of the test makes it easy to use, requiring less than 5 minutes.
The loss of muscle mass and reduced functional reserve capacity entailed by the aging process usually lead to reduced physical performance and functional decline.9 In active community-dwelling older adults, a cutoff point (30s-CST ≤8) has demonstrated its ability to identify community-dwelling older adults at risk of functional decline in their later years.10 Acutely admitted older adults with low physical performance can improve during hospitalization, but their physical performance nevertheless remains low at discharge.11 In addition, low physical performance, as indicated by the inability to perform more than 5 chair stands, relates to risk of sarcopenia.12
Lower body strength and balance are keys to good mobility; the ability to rise from a chair with hands crossed against the chest at the time of admission is a good indicator of mobility limitations in older adults 30 days after hospital discharge.3 , 13 The 30s-CST demonstrates a floor effect at the time of admission for acutely admitted older adults, indicating a poor responsiveness to change.14 The cutoff point for floor and ceiling effects was defined, as greater than 15% of patients achieving the lowest or highest possible score.15
The de Morton Mobility Index (DEMMI), a frequently used multi-item instrument for measuring mobility and balance across the spectrum from bed-bound to independent mobility,16 is a valid and reliable instrument, not only for acutely admitted older adults but also for subacute hospitalized older adults and community-dwelling older adults. No floor or ceiling effects are demonstrated.6 , 17–19 A DEMMI assessment takes 10 to 15 minutes.20
We believe that the ease of use of the 30s-CST, as a single-item instrument, will stimulate the use of physical performance assessments of patients admitted to a short-stay unit in an ED. However, the 30s-CST has never been validated for this population. For this reason, this study aimed to examine the validity and responsiveness to change of the 30s-CST used to assess physical performance in older adults acutely admitted to a short-stay unit in the ED.
The objectives were to examine the instrument with regard to its
construct validity when using 8 as a cutoff point for dependency in activities of daily living,
concurrent validity when compared with DEMMI, and
responsiveness to change when compared with DEMMI.
METHODS
Design and Setting
We conducted a prospective cohort study in a short-stay unit at a Danish hospital from December 2014 to May 2015. The reporting of the study complies with the STROBE guidelines (Strengthening the Reporting of Observational Studies in Epidemiology).21
Study Participants
All patients were admitted to the short-stay unit on a weekday and screened for eligibility within the first 48 hours. The inclusion criteria were as follows: 65 years of age or older; admitted for “medical” reasons (as distinct from surgical or psychiatric reasons); oriented to time and place; able to sit on a chair independently; and able to speak and understand Danish. Patients who were unable to walk were excluded. All participants gave written consent to participate in the study.
Outcome Measures
Outcome measures were collected as physical performance measures and self-reported information on everyday activities.
Physical performance measures
The 30s-CST with a cutoff point of 8 or less is validated in community-dwelling older adults and compared with self-reported information on the basic activities of daily living (BADL), such as bathing and dressing, and instrumental activities of daily living (IADL), such as shopping and cleaning.22 A clinimetric evaluation of the 30s-CST shows moderate concurrent validity when compared with leg-press performance and good interrater reliability in acutely admitted patients.8 , 14 Moreover, the 30s-CST is easy to complete in a busy short-stay unit, as only an ordinary chair is required.8 A minimal detectable change (MDC) of 2 has been determined for the 30s-CST.23 Patients were classified as having either low physical performance (30s-CST ≤8) or high physical performance (30s-CST >8).
The de Morton Mobility Index is a valid and reliable physical performance measurement tool; we therefore consider it an appropriate reference standard.6 , 17–19 , 24 The DEMMI assessment takes more than twice as long as the 30s-CST and requires more equipment and floor space as it also tests for the abilities to get out of bed, to go from sitting to standing position, and to walk a distance of 50 m.16 de Morton Mobility Index is hierarchically structured, beginning with the easiest activity (sitting unsupported) and ending with the hardest (tandem standing with eyes closed). The maximum DEMMI score is 100; with reference to the hierarchical structure, no score higher than 53 points can be achieved without the ability to perform item 6: “sit to stand no arms.” An MDC of 9 has been determined for DEMMI.6 The focus of this study is older adults with functional decline or at risk of functional decline, and thus only patients in the group with low physical performance (30s-CST ≤8) performed the DEMMI test.
We expected an association between a low 30s-CST score and need for gait aids. We tested this relationship for 2 DEMMI subsets: “walking” (items 11 and 12) and “dynamic balance” (items 13, 14, and 15). The walking score includes independent walking with or without a gait aid. The “dynamic balance” tasks must be carried out without gait aids.16
Self-reported information on activity : Information on everyday activities, including bathing, dressing, cooking, cleaning, and shopping, was obtained by asking: “Can you bathe [dress, etc] without help, with help, or not at all?” with the following response options: “Without help,” “With help,” or “Cannot at all.” The BADL were chosen as the focus of these questions as dressing and so on are basic activities, while IADL involve more demanding everyday tasks such as cleaning. With both instruments, the need for help in completing an activity was defined as dependency on assistance from another person. If help was needed, the response would be: “Need for help.” If patients were unable to answer, the response field was left blank.
Data Collection
At admission: Eligible patients were first subjected to the 30s-CST, after which self-reported information on mobility and everyday activities was obtained. Inability to rise with hands crossed against the chest in the 30s-CST resulted in a score of 0; patients who completed the practice trial but were unable to rise with hands crossed over the chest in the test proper scored 1. The DEMMI protocol was followed, except for the “sit to stand no arms” (item 6), as this was covered by the 30s-CST.
Follow-up : A follow-up visit was carried out at the patients' homes no earlier than 14 days after the time of admission. Data were collected independently by 2 physiotherapists, first at admission and then at the follow-up. Interrater reliability was tested in a pilot study of 21 randomly selected patients admitted to the short-stay unit, showing acceptable reliability with an intraclass correlation (ICC2.1 ) in the 30s-CST of 0.98 (95% confidence interval [CI]: 0.96-0.99) and in DEMMI of 0.87 (95% CI: 0.69-0.95).25
Data Analysis
Construct validity was tested using the following a priori hypotheses26 :
Comparing patients with low physical performance (defined as 30s-CST ≤8) with patients with high physical performance (defined as 30s-CST >8), we expect a significant difference in need of help with everyday activities as measured by self-reported information.
With decreasing 30s-CST score, the relative number of patients in need of help with BADL will increase.
When analyzing construct validity , patients with high physical performance were not expected to need help with everyday activities; conversely, patients with low physical performance were expected to need help. In the analysis, the 2 response options “With help” or “Cannot at all” were collapsed, since both answers reflect the need for help. Fisher exact test was used for testing the hypothesis. Need for help with everyday activities was tested using 3 parameters: BADL, IADL, and help with at least 1 activity in BADL or IADL.
Concurrent validity was tested using the following a priori hypotheses26 :
Test results from the 30s-CST and DEMMI will show significant correlation.
The 30s-CST and the 2 DEMMI subsets “walking” and “dynamic balance” will be significantly correlated.
When analyzing concurrent validity , the correlation coefficient and a scatterplot with the fitted values were prepared; only significant correlations are presented here (P < .05). Correlations above 0.70 were found acceptable.25 The fitted value represents the β coefficient calculated by linear regression analysis. Prediction intervals (PIs) were calculated for DEMMI and for each 30s-CST score: A 95% PI is the interval in which observations are predicted to fall with a probability of 95%. If the variance in scores is high, the clinical value is low.27
Responsiveness to change was tested using the following a priori hypotheses26 :
In more than 75% of the patients, changes in DEMMI scores between the time of admission and follow-up will be greater than the MDC.
In less than 50% of the patients, changes in 30s-CST scores between the time of admission and follow-up will be greater than the MDC.
In less than 50% of the patients with 30s-CST scores greater than 5 at admission, the changes in the 30s-CST score between time of admission and follow-up will be greater than the MDC.
Hypothesis testing and a criterion approach15 were chosen because of the known floor effect in the 30s-CST using DEMMI as a criterion standard. Regarding hypothesis 1, we expected good responsiveness in DEMMI, meaning that the majority of older adults will experience a change greater than the MDC of 9.6 Regarding hypothesis 2, we expected a floor effect in 30s-CST at the time of admission,14 reflecting a reduced physical reserve capacity. Although patients with poor physical function are known to improve the most,28 we expected less than half of the patients to experience a change greater than the MDC of 2.23 Regarding hypothesis 3, a 30s-CST of 5 repetitions or less is an indicator of sarcopenia.12 Conversely, patients performing more than 5 repetitions are less physically sensitive to the cause of hospitalization. Therefore, we expected less than half of the patients performing more than 5 repetitions to experience a change greater than MDC between time of admission and follow-up. When analyzing responsiveness to change, percentages were calculated in accordance with the hypothesis. In the criterion approach15 we used the correlation between changes in 30s-CST and DEMMI from the time of admission to follow-up. A scatterplot was prepared to illustrate changes in 30s-CST and the DEMMI.
The sample size calculation was based on our prospective study, which was designed with a view to a multivariate analysis. The sample size was n = 50 + 8x , where x is the number of independent variables. In the prospective cohort study, 10 independent variables and a 20% dropout was expected; 156 patients were therefore included.29 We assumed that 40% of the recruited patients would have 30s-CST greater than 8; a sample size of 260 was thus scheduled for the study. Analysis was performed using STATA 14 (Stata Statistical Software, 2015, College Station, Texas).
The Regional Scientific Ethical Committees of Southern Denmark approved this study with a waiver (August 20, 2014). Written informed consent was obtained from all participants for the collection of information from the medical records, which is required according to Danish legislation. The project was registered with the Danish Data Protection Agency (2008-58-0035) and on ClinicalTrials.gov with the identifier: NCT02474277 (October 12, 2014).
RESULTS
Overall, 820 patients were admitted to the short-stay unit during the recruitment period. Construct validity was assessed using data from the 207 included patients; concurrent validity was assessed using data from the 156 patients with low physical performance (30s-CST ≤ 8) and this group performed DEMMI. At the follow-up visit, 39 patients (25%) had dropped out, leaving data on 117 patients for the responsiveness-to-change analysis. The follow-up visit was carried out a median of 34 days (interquartile range: 27-40) after the day of admission. A flowchart of inclusions, reasons for exclusion, and loss to follow up are given in Figure 1 .
Figure 1.: Flowchart for the inclusion process.
No significant differences were found between the patients lost to follow-up and the completers, except for independent walking ability, where 25 of the 39 (64%) dropouts had no independent walking ability compared with 50 of the 117 (43%) completers (P = .02). Characteristics of the 207 included patients are provided in Table 1 , as are their characteristics at the time of admission in accordance with outcome status at follow-up.
Table 1. -
Sample Characteristics for All Patients at the Time of Admission
Characteristic
All Participants (n = 207)
Admission Characteristics in Accordance With Outcome Status at Follow-up
30s-CST ≤8 (n = 156)
30s-CST >8 (n = 51)
Age median (IQR)
76 (71-84)
78 (71-85)
73 (70-78)
n
%
n
%
n
%
Gender, female
119
57
88
56
31
61
Living arrangement
Alone
112
54
89
57
23
45
Cohabiting
92
44
64
41
28
56
Nursing home
3
1
3
2
Education
No education
76
37
63
40
13
25
Vocational or short-term training
93
45
69
44
24
47
Medium/long/other education
38
18
24
15
14
27
Self-reported information on activity
Self-rated health (n = 206)
Excellent/very good/good
147
71
102
66
45
88
Less good/poorly
59
29
53
34
6
12
Using walking device indoors
All the time
35
17
34
22
1
2
Sometimes
32
15
31
20
1
2
Not at all
140
68
91
58
49
96
Using walking device outdoors
All the time
62
30
58
37
4
8
Sometimes
18
9
18
12
Not at all
119
57
72
46
47
92
Not going out
8
4
8
5
Climbing a flight of stairs
Without difficulty
110
53
68
44
42
82
With some difficulty
27
13
21
13
6
12
With much difficulty
15
7
15
10
Cannot
55
27
52
33
3
6
Walking 400 m
Without difficulty
112
54
71
46
41
80
With some difficulty
25
12
18
12
7
14
With much difficulty
13
6
12
8
1
2
Cannot
57
28
55
35
2
1
Abbreviations: IQR, interquartile range; 30s-CST, 30-second Chair-Stand Test.
Information on physical performance at baseline is provided in Supplemental Digital Content Table 1, available at: https://links.lww.com/JGPT/A13 .
Construct Validity
As hypothesized, a significant difference was detected for everyday activities when patients with low physical performance (30s-CST ≤8) were compared with patients with high physical performance (30s-CST >8) (P < .01) (see Table 2 ). Moreover, Figure 2 shows that the proportion of patients in need of help with BADL and IADL decreased with increasing physical performance, as measured by the 30s-CST.
Figure 2.: Proportion of patients needing help with BADL or IADL in accordance with the 30s-CST score. BADL indicates basic activities of daily living; IADL, instrumental activities of daily living; 30s-CST, 30-second Chair-Stand Test.
Table 2. -
Construct
Validity on the 30s-CST ≤8 and Risk of Loss of Functional Mobility
Everyday Activities
30s-CST ≤8 (n = 156)
30s-CST >8 (n = 51)
P
n
%
n
%
Need help with dressing
17
11
0
0
.01
Need help with bathing
31
20
0
0
<.001
Need help with cooking
47
30
1
2
<.001
Need help with cleaning
98
63
5
10
<.001
Need help with shopping
76
49
4
8
<.001
Need help with at least 1 BADL
34
16
0
100
<.001
Need help with at least 1 IADL
110
71
7
14
<.001
Need help with at least one activity
112
72
7
14
<.001
Abbreviations: BADL, basic activities of Daily Living; IADL, instrumental activities of Daily Living; 30s-CST, 30-second Chair-Stand Test.
Concurrent Validity
The results demonstrated a significant acceptable correlation (r = 0.72) (P < .001) between DEMMI and the 30s-CST. The regression analysis showed an increase in the DEMMI score of 4.9 for each additional repetition in the 30s-CST (β-coefficient: 4.9, 95% CI: 4.1-5.7). Figure 3 and Table 3 illustrate a wide DEMMI PI, indicating several different DEMMI scores for each 30s-CST score, which points to the inappropriateness of attempting to predict patients' DEMMI scores on the basis of 30s-CST scores. The scope and quantity of circles in Figure 3 illustrate a clear floor effect in the 30s-CST, with 94 (60%) patients having a 30s-CST score of 0 and a DEMMI score between 0 and 62.
Figure 3.: DEMMI and 30s-CST scatterplot. DEMMI indicates de Morton Mobility Index; 30s-CST, 30-second Chair-Stand Test.
Table 3. -
DEMMI Score and Prediction Interval for Each of the 30s-CSTs at Admission
DEMMIa Score
30s-CST = 1
30s-CST = 2
30s-CST = 3
30s-CST = 4
30s-CST = 5
30s-CST = 6
30s-CST = 7
30s-CST = 8
Mean
52
51
65
52
57
65
70
66
95 % PI
23-81
29-72
47-83
22-81
33-81
38-92
41-99
46-86
Abbreviations: DEMMI, De Morton Mobility Index; PI, prediction interval; 30s-CST, 30 second Chair-Stand Test.
a De Morton Mobility Index (0-100).
With regard to the DEMMI subsets “walking” and “dynamic balance,” the correlation to the 30s-CST was r = 0.55 (P < .001) and r = 0.69 (P < .001), respectively. Although significant, this result was lower than the acceptable level of 0.70. The very large circle formed by the scatterplots shown inFigures 4a and 4b demonstrates a clear floor effect in the 2 DEMMI subsets and the 30s-CST; 33% of patients had a 0 score for both the 30s-CST and DEMMI “walking”; the proportion was 46% for DEMMI “dynamic balance.”
Figure 4.: Scatterplots of (a; left) DEMMI “walking” and 30s-CST, and of (b; right) “DEMMI dynamic balance” and 30s-CST. DEMMI indicates de Morton Mobility Index; 30s-CST, 30-second Chair-Stand Test.
Responsiveness to Change
Responsiveness was tested by 3 hypotheses: (1) changes in DEMMI scores were higher than the MDC in more than 75% of the patients; (2) changes in the 30s-CST were higher than the MDC in less than 50% of the patients; (3) changes in 30s-CST from admission to follow-up will be greater than the MDC in less than 50% of the patients with 30s-CST greater than 5 at admission. As Table 4 shows, neither of the first 2 hypotheses was corroborated by the results, whereas the results confirmed the third hypothesis.
Table 4. -
Responsiveness to Change
Hypotheses
At Admission
At Follow-up
n
%
Mean (SD)
Mean (SD)
Changes in DEMMIa scores between time of admission and follow-up were higher than MDCb in more than 75% of the patients.
45.6 (18)
61.2 (16)
72
62
Changes in 30s-CST scores between time of admission and follow-up were higher than MDCb in <50% of the patients.
2.2 (3)
5.9 (5)
71
61
In <50% of the patients with a 30s-CST >5 at admission, the changes in 30s-CST scores between time of admission and follow-up were higher than MDC.
7 (1)
10 (3)
19
16
Abbreviations: DEMMI, De Morton Mobility Index; MDC, minimal detectable change; 30s-CST, 30-second Chair-Stand Test.
a De Morton Mobility Index (0-100).
b MDC for DEMMI: 9. MDC for 30s-CST: 2.
The results for changes in the 30s-CST and DEMMI between admission and follow-up are presented in Figure 5 . The plot demonstrates a wide range of changes in DEMMI for each 30s-CST score, especially in patients who were unable to rise with hands crossed against the chest (30s-CST = 0). The result is in accordance with the low correlation (r = 0.43) (P < .001) between the changes in DEMMI and the 30s-CST.
Figure 5.: Changes between admission and follow-up in 30s-CST and DEMMI. DEMMI indicates de Morton Mobility Index; 30s-CST, 30-second Chair-Stand Test.
Overall, 78 (67%) of the patients improved their 30s-CST scores during the median 34 days from the time of admission until follow-up; 35 (30%) had unchanged scores, while 4 (3%) scored lower. In DEMMI, 88 (75%) showed improvement, 13 (11%) saw no change, and 16 (14%) had lower scores. Sixty-nine of the 117 (59%) patients were unable to perform a 30s-CST at admission; at follow-up, 34 of 117 (32%) patients were unable to rise. Moreover, 19% saw a mean improvement of 11 in their 30s-CST. These results indicate better responsiveness to changes in DEMMI than the 30s-CST.
DISCUSSION
Among patients admitted to a short-stay unit in an ED, this study showed a significant difference between patients with high and low physical performance, as measured by the 30s-CST, and their need for help with everyday activities at the time of admission. A significant association (r = 0.72) between the DEMMI and 30s-CST scores indicates the suitability of the 30s-CST for the assessment of physical performance in older adults at the time of admission. Although the wide PI precludes a reliable prediction of the DEMMI score based on the 30s-CST score, it indicates a better responsiveness to change in DEMMI than in the 30s-CST.
Construct Validity
Our study showed a significant difference in help needed with everyday activities between patients with low physical performance and those with high physical performance. It is reasonable to assume that a patient's physical performance reflects his or her poor condition at admission, at which time about half of the patients were unable to perform the 30s-CST; by the follow-up, this proportion had dropped to a third. This demonstrates the need for further assessment of patients with a 30s-CST of 8 or less in order to determine whether they are currently in need of help with everyday activities or whether their low physical performance is due to the cause of hospitalization. Data on received physical therapy during and after the hospitalization would have improved the possibilities for assessing whether the improvements were related to improved physical performance or whether their improvements were related to recovering from the illness causing the hospitalization. Future research can advantageously examine reasons for improvement.
The aging process entails a loss of muscle mass and decreasing functional reserve capacity, usually followed by reduced physical performance and functional decline. Moreover, the patient's deterioration is typically reflected by a loss of ability to perform the IADL, followed by a deterioration in the ability to perform the BADL.9 , 30 The results of this study confirm this general progression and thus the appropriateness of using the value of 8 as a cutoff point for hospitalized older adults. Across all levels of physical performance, as measured by the 30s-CST, more patients needed help with IADL than with BADL (Figure 2 ). At the time of admission, only 14% of the patients with high physical performance reported a need for help with IADL, while none reported a need for help with BADL. The corresponding figures for patients with low physical performance were 71% and 16%. These differences were supported by the self-reported information. At baseline, the majority of high performers were able to climb a flight of stairs and walk 400 m without difficulty; conversely, only half of the patients with low physical performance had the same ability.
We found that 31% of those patients who were unable to perform the 30s-CST reported a need for help with BADL, demonstrating a link between being unable to rise and needing help with BADL. Gill et al31 tested whether community-dwelling older adults' physical performance at a 1-year follow-up could identify individuals at increased risk of functional dependence. The participants were independent in BADL at the baseline, and the study demonstrated that older adults who were unable to rise with hands crossed against the chest were at increased risk of a decline in BADL. Such inability can identify some patients in need of help with BADL; however, further research is needed as the inability to rise with hands crossed against the chest identified only 31% of those currently in need of help with BADL.
Concurrent Validity
Our study demonstrated a significant association between performance in the 30s-CST and in the DEMMI at the time of admission, indicating that the 30s-CST is an appropriate tool for assessing physical performance in older adults admitted to a short-stay unit. For all 30s-CST scores, we demonstrated a wide PI in DEMMI; since this nearly covers the entire range of DEMMI, the use of the 30s-CST to predict DEMMI scores is of little clinical relevance.
In relation to the DEMMI hierarchy, a patient who is unable to perform the “sit to stand no arms” item (item 6) cannot be given a score above 53 points, indicating limited mobility. In our study, approximately 15% of the patients were unable to perform the 30s-CST and yet were able to walk without aids; their performance thus did not adhere to the expected hierarchy, which was established to provide goals for therapeutic interventions by identifying items that patients, against expectations, are unable to perform.20 In accordance with the presumed influence of the cause of hospitalization on physical performance, a follow-up assessment or additional information is needed in order to provide reliable goals for an intervention. The original DEMMI study included only acutely admitted older adults with an expected stay of at least 48 hours.20 The present study included patients discharged within the first 48 hours—a difference that may imply greater variation in physical performance and affect the hierarchy.
The floor effect in the DEMMI “walking” and “dynamic balance” items demonstrates that a large proportion of patients were unable to perform the 30s-CST and had difficulties with “walking” or “dynamic balance”; this information is concealed by the total DEMMI score. This situation should be remedied, as such information is crucial for avoiding falls during hospitalization.32
When space and time are limited, the ease of use and speed of the 30s-CST make it ideal for clinical settings. The implementation of the 30s-CST in the short-stay unit would offer important knowledge of physical performance at an early stage of hospitalization, information that would be highly useful in identifying vulnerable patients as well as allowing for continuous measurement during and after hospitalization.
Responsiveness to Change
Our expectation that more than 75% of the patients would improve their DEMMI scores above the MDC was not fulfilled, as only 62% did so. In the 30s-CST, we had expected fewer than 50% to experience above-MDC changes; however, the results showed 61% to have achieved this level of change. A study of geriatric inpatients (>65 years) has demonstrated that whereas initial high performers' changes are reflected by test scores in the 30s-CST, changes in initially poorly performing patients are best reflected in the DEMMI scores.33 We believe that the difference between the expected and obtained proportion of DEMMI changes may be explained by its higher sensibility to low-scale performances below the MDC threshold. In the 30s-CST, habitual physical performance was high in 19% of patients, as they improved markedly; moreover, another 30% of patients improved sufficiently to gain the ability to rise with hands crossed against the chest.
Of our original 3 hypotheses, only 1 was confirmed; however, the scatterplot of changes from admission to follow-up demonstrates a rather wide PI for each 30s-CST score, which indicates a better responsiveness in DEMMI than in the 30s-CST. The data also show a wide range of DEMMI scores related to the large number of patients with a 30s-CST score = 0, likewise proving DEMMI's superior responsiveness, in particular, for poorly performing patients. This result is very much in line with the aforementioned study.33
Strengths and Limitations
The strengths of this study are its sample size and the use of physical performance measurement upon admission to the short-stay unit and at follow-up some weeks after hospitalization. A further strength lies in entertaining a priori hypotheses, since this prevents the formulation of hypotheses based on the results. The use of self-reported information is weakened by the use of individual questions rather than a validated questionnaire. However, uses of individual questions correspond to usual practice.
We selected the 30s-CST despite its known floor effect for acutely admitted older adults.14 The well-known “sit-to-stand five times” test7 could be an alternative, but this would entail an even larger floor effect, as 73% were unable to complete that test, compared with 60% in the case of the 30s-CST (see Supplemental Digital Content Table 1, available at: https://links.lww.com/JGPT/A13 ). Further research is needed to address the floor effect in the 30s-CST at the time of admission. This may involve a combination of physical performance measures and self-reported information on the older adults' physical performance in daily life.
Our restricted focus—the assessment of concurrent validity included only older adults with low physical performance at the time of admission—can be seen as a limitation. This in spite of the fact that the majority of older adults with high physical performance (30s-CT > 8) manage everyday activities independently.
In the present study, the ICC in DEMMI was 0.87 (95% CI: 0.69-0.95), a figure lower than that found in a study of geriatric inpatients (0.91; 95% CI: 0.811-0.957).33 The differences in these results may have been caused by the necessity of testing reliability on patients with no changes, which leaves only a few hours for retesting our population of acute patients, introducing a risk of recall of their previous result and thereby prompting a desire to improve their performance.
In terms of external validation, a selection bias may be present, as 55% of the older adults were not assessed for eligibility; however, this was entirely due to organizational conditions, such as transferrals. A total of 20% of the older adults refused to participate, either because they felt the project was irrelevant to them, or because they could not contemplate more visits than were already entailed by their need for home help. The results of this study should be generalized only to older “medical” patients, as distinct from patients admitted for surgical or psychiatric reasons. A further condition is that they must be oriented to time and place and with low physical performance at admission.
CONCLUSION
This study demonstrates significant variation in the need for help with everyday activities in acutely admitted older adults. To operationalize the decision process, we recommend using a cutoff point of 8 in the 30s-CST to distinguish between patients with low physical performance and those with high physical performance. The study also found a significant association between the scores of the 30s-CST and DEMMI at the time of admission. Each extra repetition in the 30s-CST was followed by an increase in the DEMMI score, thus making the 30s-CST well suited for assessment of physical performance at the time of admission. The acceptable validity implies a good possibility of implementing the 30s-CST in acute settings with limited time and space for testing, such as examination rooms and short-stay units.
However, the wide PI found here prevents us from predicting a patient's DEMMI score on the basis of the 30s-CST score. With regard to responsiveness to change, the wide PI demonstrated a better responsiveness in DEMMI than in the 30s-CST, which leads us to recommend DEMMI over the 30s-CST in evaluation studies, especially of older adults with low physical performance.
ACKNOWLEDGMENTS
The authors gratefully acknowledge the support from the Research Council, Hospital Lillebaelt and the Development Council, Hospital Lillebaelt. They thank managers and staff in the Emergency Department and the Department of Physiotherapy and Occupational Therapy at Hospital Lillebaelt for their support.
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