| HOME | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|---|
| ||||||||||||||||||||||||
Correspondence: Address correspondence to Barbara M. Bates-Jensen, PhD, RN, CWOCN, Jewish Home for the Aging/UCLA Borun Center for Gerontological Research, 7150 Tampa Avenue, Reseda, CA 91335. E-mail: batesjen{at}ucla.edu
| Abstract |
|---|
|
|
|---|
= 0.007, p =.918 to
= 0.484, p <.001), with better agreement seen in totally dependent participants and with fewer elapsed days between MDS ratings and performance assessments. The odds of nursing home nurse errors (underestimating or overestimating dependency) on the MDS bed-mobility item were 2.1 times higher for participants judged independent by research staff compared with participants judged as requiring physical assistance by research staff (95% confidence interval, 1.144.03) when adjusted for number of days between nurse MDS ratings and research-staff performance assessments. Implications: Nursing home nurses overestimated resident dependency in bed mobility. The systematic inaccuracies in MDS bed-mobility ratings have implications for their use as a basis for targeting residents for repositioning programs and determining changes in residents' physical function. Performance assessments utilizing graduated assistance protocols are recommended as a method of improving the accuracy of MDS bed-mobility ratings.
Key Words: Activities of daily living assessment Bed mobility Minimum data set accuracy Physical performance assessments
Studies using different methodologies to assess MDS accuracy have reported different conclusions. Most studies have evaluated MDS accuracy by comparing the ratings of research nurses to ratings of nursing home nurses. These studies have generally concluded that the MDS ratings are accurate because there is a high agreement between the two sources (Mor et al., 2003; Phillips et al., 1997; Snowden et al., 1999). The problem with this approach is that the research nurses often rely on data that are collected from nursing home staff sources (e.g., asking nurses about what the residents can do or reviewing staff medical-record documentation). Thus, the MDS ratings completed by research nurses and nursing home nurses, at least partially, rely on the same data sources.
In contrast, studies that have used research staff to conduct independent assessments (e.g., direct observation or resident interviews) of depression, pain, oral food and fluid intake, and incontinence frequency without either asking nursing home nurses for information or relying on medical-record data have reported discrepancies between nursing home nurse MDS ratings and independent assessments conducted by research staff (Cadogan, Schnelle, Yamamoto-Mitani, Cabrera, & Simmons, 2004; Pokrywka et al., 1997; Schnelle et al., 2003; Simmons & Reuben, 2000; Simmons et al., 2004). Independent performance-based assessments of residents' cognitive status and communication ability, however, have demonstrated closer agreement with nursing home nurse MDS ratings (Frederiksen, Tariot, & De Jonghe, 1996; Hartmeier et al., 1995).
One explanation for the discrepancies between independent performance-based assessments and MDS data is that nursing home nurses often do not use standardized assessments to determine resident status (Cadogan et al, 2004; Pokrywka et al., 1997; Schnelle et al., 2003; Simmons & Reuben, 2000; Simmons et al., 2004). For example, if nursing home nurses do not conduct assessments that allow residents to self-perform activities of daily living (ADLs) with the least amount of assistance necessary and instead rely on the assistance provided by nurse aides (whether needed or not) during daily ADL-care delivery, the MDS data might underestimate ADL self-performance when compared with independent performance assessments using standardized protocols. Nurse aides often provide excessive physical assistance for nursing home residents because it requires less time than allowing the resident to complete the task independently. This practice reinforces physical dependency in nursing home residents (Baltes, Honn, Barton, Orzach, & Lago, 1983; Baltes, Kindermann, Reisenzein, & Schmid, 1987). Licensed nursing home nurses who complete the MDS based on observations of nurse aide care delivery or who ask nurse aides how much assistance they provide to residents would likely yield measures of resident dependency and helplessness instead of a resident's ability to self-perform the activity. If this is the case, then there are implications for how data from the MDS ADL items are used in care planning and as indicators of quality. Further, relying on data obtained by nurse aides, either by verbal communication or by observation of daily care, is in contrast to how ADLs are typically assessed in the community, where nurses conduct physical performance tests to evaluate an individual's abilities. Thus, comparisons of ADL function between nursing home residents and community-dwelling elders may be invalid.
One of the ADL items evaluated in the MDS is bed mobility. Dependency in bed mobility or decline in bed-mobility function is used by nursing home staff to target residents who should be placed on a scheduled repositioning program. If residents are inappropriately rated as dependent, these residents may be incorrectly targeted for labor-intensive scheduled repositioning interventions, and clinically significant declines in ADL bed-mobility functioning (e.g., increases in dependency) are likely to go unrecognized. The failure by nursing home staff to recognize and intervene when a resident declines in bed mobility could contribute to poor resident outcomes, such as pressure ulcer development. Current efforts to monitor ADL bed-mobility decline as part of overall ADL function as an indicator of nursing home care quality (e.g., indicator: prevalence of residents with decline in physical functioning) also might be misleading.
Our purpose in this study was to evaluate the accuracy of the MDS bed-mobility item. If this physical function item is inaccurate because it is based on a comparison between nursing home nurse ratings and a standardized performance-based assessment, then it is likely that other MDS ADL items also are inaccurate because of a lack of performance-based assessments being used by nursing home nurses. In this study we report data that address the accuracy of the bed-mobility item as one part of the MDS ADL assessment. We examined the following research questions:
| Methods |
|---|
|
|
|---|
In this article, we report on a convenience sample of 197 long-stay (i.e., excluding Medicare short-stay or subacute rehabilitation residents) nursing home residents from the 26 facilities in the larger project who had independent bed-mobility performance assessments by research staff and had corresponding movement monitor data (subsequently described). Persons who are admitted to the nursing home as Medicare short-stay residents are in the facility to receive rehabilitation services, and, if rehabilitation is successful, they are discharged within 90 days. The study sample included only long-stay residents, that is, those admitted with chronic care needs or those who failed rehabilitation efforts.
MDS Bed-Mobility Item
The MDS bed-mobility item (MDS item G1Aa) is part of the ADL physical function section, which requires nursing home nurses to rate the resident on the basis of the most frequent level of assistance required over the past 7 days for self-performance. Nursing home nurses also rate the type and amount of support received by the resident from nursing home staff (item G1Ba). Instructions advise that the two ratings be made independently and that self-performance be determined first (Health Care Financing Administration [HCFA], 1999). The intent of the ADL self-performance ratings is to record what the resident actually did independently along with the level and type of staff assistance needed to perform the action. This implies that, in order for ADL function to be assessed, the resident must be given the opportunity to perform activities with the minimum level of assistance. Nursing home nurses rate residents' self-performance assistance levels on a 5-point scale from 0 (independent) to 4 (totally dependent; see Table 1). The definitions of each level of assistance on the 5-point scale suggest the use of a graduated assistance protocol to determine the abilities of a resident to perform each activity, although the instructions do not explicitly state this and a specific assessment protocol is not provided (HCFA).
|
Upon completion of the physical performance assessment, participants were categorized as independent (Table 1, Levels 0 and 1) or dependent (Table 1, Levels 2, 3, and 4) on the basis of their need for physical assistance to perform the actions. There was perfect agreement between two observers classifying participants' assistance level during the performance assessments (
= 1.0, n = 44 observations in 22 participants). Performance assessments were repeated for a different subsample of 45 participants on 2 separate days within 1 week, with results demonstrating good stability for assistance needs (r =.90, p =.007). The mean time for research staff to conduct the performance assessments was 3.4 min (SD = 2.4). All physical performance assessments conducted by research staff occurred after nursing home nurse MDS ratings.
Each participant also wore a wireless movement monitor on the thigh above the knee for 8 to 24 hr with a mean wearing time of 10 hr (SD = 2.7) in the daytime and 11.5 hr (SD = 1.0) in the nighttime. The movement monitors (AugmenTech, Inc., Pittsburgh, PA) measured horizontal and vertical orientation of the thigh with respect to gravity every 4 s. Prior research has demonstrated the validity of the movement monitors compared with direct observations of movement, including repositioning and activity movements (Bates-Jensen et al., 2003). Interrater agreement for movement-monitor data interpretation was high (n = 63 participants,
= 0.691 and 0.609, both ps <.001 for identifying movement and repositioning, respectively). The correlation between raters for total frequency of movements was also high (r =.92, p <.001). Movement data were used to verify the participants' ability to move independently in bed compared with research-staff ratings based on the performance assessments.
| Data Analysis |
|---|
|
|
|---|
As a more lenient measure, we also defined agreement as the MDS rating that matched the performance-assessment level plus MDS ratings one category lower or higher. For example, if performance was assessed as Level 2, then we considered MDS ratings of 1, 2, or 3 to be in agreement. We compared nursing home nurse MDS bed-mobility (item G1Aa) ratings with research-staff performance assessments for participants' ability to sit up in bed and turn in bed separately, using both the strict (exact match) and lenient (exact match ± one category) criteria.
Utilizing t tests for continuous variables and chi-square for categorical variables, we compared nursing homes that scored in the extreme quartiles for MDS bed-mobility rating accuracy on size, profit status, staff turnover rate, total staffing hours per resident per day (HPRD), nurse aide HPRD, registered and licensed vocational nurse HPRD, expenditures for direct resident care per resident day, and proportion of Medicaid and non-Caucasian residents. These data were all available from a public reporting system in California (www.calnhs.org).
We also used t tests (e.g., average number of movements per hour) to determine if participants judged by research staff as independent on the basis of performance assessments (e.g., Levels 0 and 1) actually did move according to the movement monitors. We calculated the average number of movements per hour by summing all movements according to movement monitor data and dividing by the total number of hours the monitor was worn.
We performed a post hoc logistic regression analysis, with nursing home nurse errors on the MDS bed-mobility item as the outcome variable (the strict measure of agreement), and performance assessment as the predictor variable. We defined nursing home nurse errors as exact match or no match between the MDS rating and the performance assessment. We rated participants as 0 or 1 on performance assessment versus those rated as 2, 3, or 4. We adjusted for the number of days between nursing home nurse MDS rating and performance assessments.
| Results |
|---|
|
|
|---|
|
MDS Rating and Performance Assessment: Strict Criterion (Exact Match)
Poor agreement existed between research staff turn-in-bed performance assessments and nursing home nurse MDS bed-mobility ratings, with kappa agreement according to the strict criterion (exact match) ranging from
= 0.007 (p =.918) for Level 2 to
= 0.484 (p <.001) for Level 4 (Table 3). Better agreement existed for all participants at the extreme of dependence. Agreement improved among participants with 30, 45, and 60 days or fewer between MDS ratings and performance assessments, although this improvement was not consistent between levels. Participants with 30 days or fewer between MDS ratings and performance assessments and who were judged as independent (e.g., MDS rating = 0) by nursing home nurses showed a high level of agreement with performance assessments (
= 0.639, p =.021), but this better agreement at rating 0 declined in participants with 45 days or fewer (
= 0.505, p =.009) and was not seen in participants with 60 days or fewer between MDS ratings and performance assessments (
= 0.363, p =.013). Within Level 4 (totally dependent), those residents with 45 days or fewer between MDS ratings and performance assessments showed the best agreement (
= 0.653, p =.001). Overall, there was a trend for agreement to improve as elapsed time between performance assessments and the MDS ratings decreased. The small sample of residents with 30 and 45 days or fewer between performance assessments and MDS ratings was distributed fairly evenly across levels based on performance assessments (Table 3).
|
|
Logistic Regression Analysis
The odds of nursing home nurse MDS bed-mobility rating errors (according to the strict criterion) for participants judged independent (Levels 0, 1) by research staff were 2.1 (confidence interval, or CI = 1.144.03) times higher than for participants judged by research staff as physically dependent (Levels 2, 3, 4), when adjusted for days between MDS rating and performance assessment.
Facility-Level Analyses
The proportion of residents with MDS bed-mobility rating errors (according to the strict criterion) per facility ranged from 17% to 100% with a mean of 51% (SD = 19.49). There were no study homes with 0% errors in MDS bed-mobility ratings. No differences existed between homes scoring in the extreme quartiles (lower quartile, 32% or fewer MDS errors, n = 6; upper quartile, 67% or more MDS errors, n = 8) for MDS bed-mobility rating accuracy on any of the following facility characteristics: size, profit status, staff turnover rate, total staffing HPRD, nurse aide HPRD, registered and licensed vocational nurse HPRD, expenditures for direct resident care per resident day, and proportion of Medicaid and non-Caucasian residents.
Movement-Monitor Data
Participants judged by research staff as independent on performance assessments (Levels 0, 1) did indeed move more frequently than participants judged by research staff as physically dependent (Levels 2, 3, 4) according to movement-monitor data (M = 0.80, SD =.40 and M = 0.28, SD =.45 moves per hour, respectively, t = 7.213, p <.001).
| Discussion |
|---|
|
|
|---|
These findings contradict the results of other studies that evaluated MDS accuracy by comparing nursing home nurse ratings with research nurse ratings based on nursing home data sources (e.g., research nurses used staff self-report of assistance provided and medical-record documentation to determine ratings). If nursing home nurses do not perform valid performance-based assessments, then their MDS ratings, medical-record documentation, and verbal reports to research nurses will likely agree yet be inaccurate.
The tendency for nursing home staff to engage in dependency-enhancing care patterns (Baltes et al., 1987; Bowers, Lauring, & Jacobson, 2000; Rogers et al., 2000) and the extra time required of staff to allow resident independence in daily care activities (Schnelle, Sowell, Hu, & Traughber, 1988) may contribute to the bias that nursing home nurses have toward overestimating resident's physical dependency on the MDS. Thus, the MDS ADL bed-mobility item may reflect what nursing home staff allow the resident to do during daily care provision or the resident's learned-dependency behaviors rather than what the resident is able to do. This failure to perform valid assessments may explain previously identified discrepancies between standardized assessments of pain, food and fluid intake, and incontinence frequency and MDS data (Cadogan et al., 2004; Pokrywka et al., 1997; Schnelle et al., 2003; Simmons & Reuben, 2000; Simmons et al., 2004). We believe the approach utilized in this study of a standardized performance assessment of residents' abilities compared with nursing home nurse MDS ratings should be utilized for evaluating accuracy of other MDS ADL items (e.g., walking, transfer ability).
Study limitations that may limit generalizability include small sample size, geographic homogeneity, and nonrandom selection of participants. The small samples in some nursing homes hindered evaluation of facility effects on nursing home nurse MDS errors, and this should be evaluated in the future. The small samples also hindered analyses at different levels for number of elapsed days between MDS ratings and performance assessments. Further, participants were examined on 1 or 2 days and bed mobility was not evaluated over the previous week, as recommended in the MDS user's manual. However, others have shown that most ADL assessments are stable over 1 and 2 weeks; results of this study showed ADL bed-mobility stability over 2 days (Engle & Graney, 1993; Graney & Engle, 2000). No attempts were made to control for completion date of the MDS assessment, although the most recent MDS assessment was used to compare with performance assessments. We did find some evidence for closer agreement when the MDS and research-staff assessments were performed fewer than 30 days apart and an overall trend for improved agreement with fewer elapsed days between the MDS and research-staff assessments. However, error rates remain high and appear to reflect a systematic overestimation of dependency, regardless of number of elapsed days. This is likely due to the absence of a standardized performance-based assessment that allows nursing home residents to demonstrate ability with minimum staff assistance. The pattern of increased agreement with less time between MDS ratings and performance assessments at the independent level may reflect genuine increasing independence of the residents. However, this is not likely, given that these residents were long-stay residents and not in the facility for rehabilitation. Further, the general course for long-stay nursing home residents is one of gradually increasing dependency. Hence, because all MDS ratings were completed before the performance assessment, the expectation would be for MDS errors to underestimate the dependency level of residents. These findings should be interpreted cautiously because of the small number of residents with 30 and 45 days or fewer between MDS ratings and performance assessments.
The systematic error rates reported in this study may reflect ambiguous instructions about how to complete the MDS ADL bed-mobility ratings and the failure to provide nursing homes with a specific example of how to implement a performance-based assessment protocol that allows residents to perform tasks at their highest level of independence. That use of a graduated assistance protocol is implied in the instructions for completing the MDS ADL ratings but, based on findings from this study, not likely used by nursing home nurses is an essential factor contributing to the differences between MDS ratings and performance assessments. Further, it is possible that a cumulative measurement effect occurs with the nursing home nurse who completes the MDS, wherein reports or observations of greater levels of dependency achieve more prominence in the mind of the nursing home nurse and thus contribute to the overestimation of bed-mobility dependency. The performance assessment described in this study should be considered for the training of nurses in how to complete the MDS ADL bed-mobility item, because it requires approximately 3 min per resident for ADL bed-mobility assessment, demonstrated stability over 2 days, and had high interrater reliability. This would represent an important improvement in nursing home nurse MDS bed-mobility assessment data. Further, licensed nurse assessments of a resident's self-performance of bed mobility using graduated assistance protocols would more accurately identify residents who should be placed on a scheduled repositioning program, which might reduce workload for nursing home staff. Better targeting of residents for scheduled repositioning is important, because repositioning is often part of the care plan for many residents but does not occur even when medical-record documentation indicates that a repositioning program is taking place (Bates-Jensen et al., 2003).
Licensed nurse assessments of a resident's self-performance of bed-mobility ADLs using graduated assistance protocols could be compared with nurse aide reports of actual assistance provided to the resident, thus providing important data for staff management. For example, a resident who needed no physical assistance for bed-mobility ADLs based on performance assessments using graduated assistance protocols yet who was provided physical assistance by nurse aides indicates problematic care that increases the risk for resident decline in bed-mobility ADL function. The agreement between accurate licensed nurse bed-mobility-ADL resident-performance ratings and actual assistance provided for bed mobility by nurse aides provides a method of monitoring and improving bed-mobility-ADL care processes to enhance residents' independence and prevent further decline.
| Footnotes |
|---|
2 Jewish Home for the Aging, Reseda, CA. ![]()
3 Geriatric Research, Education and Clinical Center; Veterans Administration Greater Los Angeles Healthcare System, Sepulveda, CA. ![]()
Decision Editor: Linda S. Noelker, PhD
Received for publication October 22, 2004. Accepted for publication June 10, 2005.
| References |
|---|
|
|
|---|
| ||||||||||||||||||||||||
| HOME | ARCHIVE | SEARCH | TABLE OF CONTENTS |
|---|