Biomedical subjects

N R Al-Samarrai

Publications and source records attributed to N R Al-Samarrai.

4 recordsLinked to original sources

PubMed2004

The minimum data set depression quality indicator: does it reflect differences in care processes?

PURPOSE: The objective of this work was to determine if nursing homes that score differently on prevalence of depression, according to the Minimum Data Set (MDS) quality indicator, also provide different processes of care related to depression. DESIGN AND METHODS: A cross-sectional study with 396 long-term residents in 14 skilled nursing facilities was conducted: 10 homes in the lower (25th percentile: low prevalence 0-2%) quartile and 4 homes in the upper (75th percentile: high prevalence 12-14%) quartile on the MDS depression quality indicator. Ten care processes related to depression were defined and operationalized into clinical indicators. Measurement of nursing home staff implementation of each care process and the assessment of depressive symptoms were conducted by trained research staff during 3 consecutive 12-hr days (7 a.m. to 7 p.m.), which included resident interviews (Geriatric Depression Scale), direct observations, and medical record review using standardized protocols. RESULTS: The prevalence of depressive symptoms according to independent assessments was significantly higher than prevalence based on the MDS quality indicator and comparable between homes reporting low versus high rates of depression (46% and 41%, respectively). Documentation of depressive symptoms was significantly more common in homes reporting a high prevalence rate; however, documentation of symptoms on the MDS did not result in better treatment or management of depression according to any care-process measure. Psychosocial prevention and intervention efforts, such as resident participation in organized social group activities, were not widely used within either group of homes. IMPLICATIONS: The MDS depression quality indicator underestimates the prevalence of depressive symptoms in all homes but, in particular, among those reporting low or nonexistent rates. The indicator may be more reflective of measurement processes related to detection of symptoms than of prevention, intervention, or management of depression outcomes. A depression quality indicator should not be eliminated from MDS reports because of the importance and prevalence of the condition. However, efforts to improve nursing home staff detection of depressive symptoms should be initiated prior to the use of any MDS-based depression indicator for improvement purposes. Homes that report a low prevalence of depression according to the nationally publicized MDS quality indicator should not be regarded as providing better care.

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PubMed1999

A randomized trial of a combined physical activity and environmental intervention in nursing home residents: do sleep and agitation improve?

OBJECTIVES: The purpose of this study was to test whether an intervention combining increased daytime physical activity with improvement in the nighttime environment improves sleep and decreases agitation in nursing home residents. DESIGN: A randomized trial. SETTING: One community nursing home in the Los Angeles, California area. PARTICIPANTS: Twenty-nine incontinent residents (mean age 88.3 years, 90% female). INTERVENTION: Subjects were randomized to receive either (1) an intervention combining increased daytime physical activity (14 weeks in duration) plus a nighttime program (5 nights in duration) to decrease noise and sleep-disruptive nursing care practices (intervention group), or (2) the nighttime program alone (control group). MEASUREMENTS: Daytime physical activity monitors and structured physical function assessments; nighttime wrist activity monitors to estimate nighttime sleep; and timed daytime behavioral observations of sleep versus wakefulness, either in or out of bed, and agitation. RESULTS: Physical function measures did not change significantly (MANOVA for repeated measures, group by time effect). Wrist actigraphy estimation of nighttime percent sleep (time asleep over time monitored in bed at night) increased in intervention subjects from 51.7% at baseline to 62.5% at follow-up compared with 67.0% at baseline to 66.3% at follow-up in controls (MANOVA, group by time, F = 4.42, P = .045, df = 27). At follow-up, intervention subjects averaged a 32% decrease in the percent of daytime observations in bed compared with baseline, with essentially no change in controls (MANOVA, group by time, F = 5.31, P = .029, df = 27). Seven of 15 intervention subjects had a decrease in observed agitation at follow-up, compared with baseline, versus only 1 of 14 controls with a decrease in observed agitation. CONCLUSIONS: This study provides preliminary evidence that an intervention combining increased physical activity with improvement in the nighttime nursing home environment improves sleep and decreases agitation in nursing home residents.

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PubMed1999

The nursing home at night: effects of an intervention on noise, light, and sleep.

OBJECTIVES: The sleep of nursing home residents is fragmented by frequent awakening episodes associated, at least in part, with environmental variables, including noise and light changes. The purpose of this study was to improve sleep by reducing the frequency of nighttime noise and light changes. PARTICIPANTS AND SETTING: Two hundred sixty-seven incontinent nursing home residents in eight nursing homes. DESIGN: A randomized control group design with a delayed intervention for the control group. MEASUREMENTS: Bedside noise and light monitors recorded the number of 2-minute intervals at night with peak sounds recorded above 50 dBs and the number of light changes of at least 10 lux between adjacent 2-minute intervals. Daytime behavioral observations measured sleep and in-bed time during the day, and wrist activity was used to estimate sleep at night. Awakening events associated with the environmental variables were derived from the wrist activity data. INTERVENTION: A behavioral intervention implemented between 7:00 p.m. and 6:00 a.m. that involved feedback to nursing home staff about noise levels and implementation by research staff of procedures to both abate noise (e.g., turn off unwatched television sets) and to individualize nighttime incontinence care routines to be less disruptive to sleep. RESULTS: Noise was reduced significantly, from an average of 83 intervals per night with peak noises recorded above 50 dBs to an average of 58 intervals per night in the group that received the initial intervention, whereas noise in the control group showed no change (MANOVA group x time P < .001). All 10-dB categories of noise from 50 to 90+ dBs were reduced, and light changes were reduced from an average of four per night per resident to two per night (P < .001). Despite these significant changes in the environmental variables, there was a significant differential improvement in the intervention group on only two night sleep measures: awakening associated with a combination of noise plus light (P < .001) and awakening associated with light (P < .001). However, there was a significant correlation between change in noise and change in percent sleep from baseline to intervention (r = -.29, P < .05), suggesting that the intervention did not reduce noise to low enough levels to produce a significant improvement in sleep. The intervention effects on all environmental variables were replicated in the delayed intervention group, who again showed significant improvement on the same sleep measures. Observations of day sleep and in-bed time did not change over the phases of the trial for either group. CONCLUSION: The significant reductions in noise and light events resulting from the intervention did not lead to significant improvements in the day sleep and most night sleep measures. An intervention that combines both behavioral and environmental strategies and that addresses daytime behavioral factors associated with poor sleep (e.g., excessive time in bed) would potentially be more effective in improving the night sleep and quality of life of nursing home residents.

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PubMed1998

Nighttime urinary incontinence and sleep disruption among nursing home residents.

OBJECTIVE: To examine the relationship of urinary incontinence episodes to sleep disruption in a sample of nursing home residents. DESIGN: Descriptive, case series. SETTING: Three community nursing homes. PARTICIPANTS: Seventy-three incontinent residents of three nursing homes participating in a trial of a behavioral intervention for nighttime urinary incontinence. MEASUREMENTS: Data were collected during a baseline and repeat baseline period about 2 months later in nursing homes serving as controls for the intervention homes. Incontinence episodes were identified by incontinence pads, which were wired to detect wetness of 10 mL or more. Sleep was monitored by wireless wrist actigraphs. Noise and light changes were monitored by bedside recording devices. MAIN RESULTS: Recordings covered 403 nights, during which 1715 awakenings from 10 consecutive minutes of sleep were detected as were 1168 incontinent episodes. Only 4% of the awakenings were associated with an incontinence episode, and only 23% of the incontinence episodes occurred during periods of at least 10 consecutive minutes of sleep. Of the latter episodes, only 12% appeared to awaken the resident. CONCLUSIONS: Our data raise questions about the relevance of incontinence episodes to sleep disruption among chronically incontinent nursing home residents. Our findings must be interpreted cautiously because of limitations in the technologies and definitions we used to identify sleep, awakenings, and incontinence episodes. Although logistically and technically difficult to perform, studies using polysomnographic recordings of sleep are needed to examine further these important associations.

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