Correlates of disruptive behavior in cognitively impaired elderly nursing home residents

Correlates of disruptive behavior in cognitively impaired elderly nursing home residents

Correlates of DisruptiveBehaviorin CognitivelyImpaired ElderlyNursing Home Residents Cornelia Beck, Linda Rossby, and Beverly Baldwin Disruptive beha...

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Correlates of DisruptiveBehaviorin CognitivelyImpaired ElderlyNursing Home Residents Cornelia Beck, Linda Rossby, and Beverly Baldwin

Disruptive behavior, resulting in negative consequences for both residents and caregivers, occurs in a large proportion of the nursing home population. This review of literature surveys studies that describe disruptive behavior and the correlates of this behavior in the cognitively impaired elderly. In the studies reviewed. the average prevalence of reported disruptive behavior among a total of 5,650 subjects was 42.8%. Correlates most frequently linked with disruptive behavior include cognitive status, functional ability, age, and premorbid personality. Suggestions for future research are discussed.

Copyright

B

0 1991 by W.B. Saunders

EHAVIORAL problems in long-term care facilities for the elderly are pervasive. Behavior categorized as disruptive, aggressive, or agitated is often compounded by coexisting cognitive impairment. Management of residents exhibiting these types of behavior is an escalating problem as the elderly population continues to grow (CohenMansfield, Marx, & Rosenthal, 1990; Cospito & Gift, 1982; Jackson, Drugovich, Fretwell, Spector, Stemberg, & Rosenstein, 1989; Ryden, Bossenmaier, & McLachlan, 1989; Winger, Schirm, & Stewart, 1987, 1989). The critical nature of this problem is addressed in a recent study in which both the severity of dementia and the presence of behavioral problems were found to be significantly related to shorter survival time in 126 subjects diagnosed with Alzheimer’s-type dementia (Walsh, Welch, & Larson, 1990). Behavioral problems among cognitively impaired nursing home residents have not been clearly defined or adequately studied, and knowledge about the distribution of these problems is limited (Ebersole, 1989). Expansion and clarification of existing knowledge is a prerequisite for understanding disruptive behavior in the cognitively impaired elderly. Empirically based nursing interventions directed toward the prediction, prevention, and control of this behavior are needed. The following review of literature describes

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studies on disruptive behavior of the institutionalized elderly. Most studies report incidence and describe two or more correlates. However, the correlates and definitions of disruptive behavior vary widely. Some studies limit the definition to types of aggressive behavior; others broadly define disruptive behavior and include incontinence. In addition, the studies use a variety of instruments to measure both disruptive behavior and its correlates. Therefore, an accurate comparison of these studies is difficult. The studies reviewed will be described individually; Table 1 summarizes correlates of types of disruptive behavior and findings presented in the studies. DESCRIPTION OF STUDIES

In a random sample of 1,139 subjects from 42 skilled nursing facilities, Zimmer, Watson, and

From the College of Nursing and Department of Psychiatry, College of Medicine, University of Arkansas for Medical Sciences, Little Rock; the Baptist Rehabilitation Institute, Little Rock, AR; and the School of Nursing, University of Ma yland Baltimore. Address reprint requests to Comelia Beck, Ph.D., R.N., Professor and Associate Dean for Research and Evaluation, College of Nursing, University of Arkansas for Medical Sciences, 4301 W Markham, Slot 529, Little Rock, AR 72205. Copyright 0 1991 by W.B. Saunders Company 0883-9417l91/0505-0006$3.00oal0

Archives of Psychiatric Nursing, Vol. V, No. 5 (October), 1991: pp. 281-291

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Treat (1984) gathered data from the most recent routine utilization review forms. They found that 64.2% had significant behavioral problems (behavior that required constant or active consideration in care planning or that occurred more often than once a week). These types of behavior included confusion, agitation, hallucinations, depression, assaultiveness, abusiveness, regression, and wandering. Significant behavioral problems were divided into moderate (41.6%) and serious (22.6%) behavioral problems. Moderate problems consisted of impaired judgment or physical restraint orders, or both. Serious problems included aggressiveness, physical resistance to care, and uncontrolled wandering. These types of behavior endangered others or self, disturbed others, or concerned staff (i.e., refusing to socialize, hoarding, etc.). Cognitive impairment existed in 81.4% of subjects with behavioral problems. Restraints were used for 46.2% of these subjects. Psychoactive drugs were used regularly to treat 58% of subjects with serious behavioral problems and depression was diagnosed in 9% of these subjects. No report of psychoactive drug use or depression was given for subjects in the moderate behavioral problem group. Winger, Schirm, and Stewart (1987) studied 101 residents of a Veterans Administration Medical Center (43 subjects from a nursing home unit and 58 subjects from an intermediate, long-term care unit). Investigators obtained data through interview and observation. A behavioral inventory was constructed to determine the presence of aggressive behavior. The Katz Index of Activities of Daily Living (ADL) (Katz, Ford, Moskowitz, Jackson, & Jaffe, 1963) evaluated functional status. Chang’s Situational Control of Daily Activities (Chang, 1978) measured perceived control. Significantly more aggressive behavior was reported for the nursing home group than for the intermediate care group. Aggressive subjects had longer lengths of stay and perceived that they had less control over situational activities than did nonaggressive subjects, though this relationship did not reach significance. In both intermediate and nursing home subjects, the more serious the type of behavior, the lower the score on the Mental Status Questionnaire (Kahn, Goldfarb, Pollock, & Peck, 1960). Furthermore, most of the types of behavior that were dangerous to self (refusal of directions, food, medication, or treatment) or oth-

BECK, ROSSBY, AND BALDWIN

ers (harming or attempting to harm others or breaking objects) occurred in combination with disturbing behavior (shouting, sarcasm, anger, irritation, and impatience), indicating that disturbing behavior may signal endangering behavior. Meddaugh (1987) reviewed chart and incident reports to investigate aggressive behavior in a skilled nursing facility (n = 72). Twenty-six staff members (26.8%) were abused one to two times in a 3-month period. More incidents of aggression occurred during the day and evening shifts. All aggressors (1 l%, women; 30%) men) had cognitive impairment and needed assistance in ADLs. This retrospective study included no observation of caregiver-resident interaction and no information providing the context within which these incidents occurred. Missing data from incident reports and residents’ charts further limited the study. Nilsson, Palmstiema, and Wistedt (1988) observed 40 psychogeriatric patients in two longterm wards of a Swedish hospital. This descriptive study documented characteristics and frequencies of aggressive behavior within a 6-week period. The sample consisted of nine men (mean age, 80.6 years) and 3 1 women (mean age, 8 1.7 years). Admission length ranged from 1 to 46 months (mean, 24.1 months). Diagnoses, according to the Znternational Classification of Diseases (1969), showed marked cognitive impairment in 38 subjects (34 with dementia, four with chronic schizophrenia) and unspecified chronic psychosis in two subjects. The Staff Observation Aggression Scale developed by Palmstiema and Wistedt (1987), measured frequency and severity of behaviors. Results of this investigation indicated that aggression was primarily aimed at staff (88%). Most incidents (75%) occurred during assistance with ADLs. Correlates of age, length of hospitalization, and gender were examined in relation to frequency and degree of aggression. Multiple regression indicated that age was significantly related to frequency of aggression (0.36; coefficient of determination = 0.14, df = 38, P < .05) while length of hospitalization was significantly related to degree of aggression (0.43; coefficient of determination = 0.20, df = 25, P < .05). Ryden , Bossenmaier , and McLachlan ( 1989) studied 124 residents in four nursing homes, on units for the cognitively impaired, during a 7-day period. Data collection included observation and documentation of behavior as well as medical rec-

DISRUPTIVE

BEHAVIOR

IN ELDERLY

ord reviews for diagnosis, drug usage, social, and health history data. ADL dependency was determined from quality-assurance assessments completed by nursing home staff. The Ryden Aggression Scale ([RAS] Ryden, 1988) was used to measure incidents of aggression. Fifty-one percent of observed aggression was physical, 48% was verbal, and 4% was sexual. No significant difference was found between men and women in incidents of aggression. Residents receiving psychotropic drugs had significantly higher aggression scores than those not receiving drugs. Most aggressive behaviors occurred during the day. No significant relationship was found between aggression scores and Short Portable Mental Status Questionnaire ([SPMSQ] Duke University, 1978) scores. This may have been due to the limited range of scores (79% of all subjects were categorized as severely impaired, according to the SPMSQ). ADL dependency scores and aggression scores showed no significant relationship. Limitations of this study included missing data in medical records and staff inexperience in using the Ryden Aggression Scale (1988a). A study to determine whether use of restraints in nursing home residents decreases or increases agitation was conducted by Werner, CohenMansfield, Braun, and Marx (1989). Twenty-four residents from three units of a 550-bed, long-term care facility were observed during this study. Participants were chosen on the basis of a high level of agitation and cognitive impairment. The CohenMansfield Agitation Instrument (CohenMansfield, 1986) assessed agitation and the Brief Cognitive Rating Scale (Reisberg, Schneck, Ferris, Schwartz, & de Leon, 1983) assessed cognitive impairment. During a 3-month period, 1,000 3-minute observations of each resident were obtained during all 24 hours of the day. During each observation, the number of times each resident manifested each of 20 identified agitated behaviors was recorded. Presence or absence of restraints during each observation was also recorded. To determine the relationship between agitation and use of restraints, the frequency of each agitated behavior and the total number of agitated behaviors exhibited by each resident were examined during the following four conditions: (1) unrestrained (excluding the hour preceding the application of restraints); (2) unrestrained during the hour preceding the use of restraints; (3) restrained during the

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hour immediately following restraint use; and (4) restrained (excluding the aforementioned hour). An analysis of variance (ANOVA) indicated that significantly more strange movements (F = 2.78, P < .05), strange noises (F = 5.40, P < .Ol), and total agitated behaviors (F = 4.89, P < .Ol) were manifested when residents were restrained as compared with when they were not restrained. Higher rates of agitated behaviors were observed immediately after application of restraints but not immediately before application. This study suggests that use of restraints may contribute to agitated behavior rather than decrease agitated behavior. Haller, Binder, and McNiel (1989) investigated the prevalence of violence in 52 geriatric subjects during acute psychiatric hospitalization. All subjects had a primary diagnosis of senile dementia according to the international Classification of Diseases (1984). A retrospective chart review showed that 44% of the subjects were involved in violent behavior 2 weeks before admission and 29% exhibited violent behavior within 72 hours of admission. Violent behavior was described as attacks on person, attacks on objects, threats to attack persons, and verbal attacks on persons. Two weeks before admission, 23.1% (n = 12) physically attacked others and 21.3% (n = 11) manifested fear-inducing behavior (verbal attacks, threats to attack, or attacks on objects). Within the first 72 hours of admission, 9.6% (n = 5) of subjects physically attacked others and 19.2% (n = 10) exhibited fear-inducing behavior. Subjects who had lived with their family before admission were more likely to be violent. No significant correlation was found between violence and sex, social class, or ethnic group. Jackson, Drugovich, Fretwell, Spector, Stemberg, and Rosenstein (1989) examined disruptive behavior in 3,35 1 randomly selected nursing home residents from 103 facilities in Rhode Island. Data were collected through interviews, chart reviews, reports from staff, and observation by interviewers. Disruptive behavior recorded was noisiness, abusiveness, wandering, and other (disrobing, stealing, resistance to care, inability to avoid simple dangers). The length-of-observation periods were not reported. Correlates of disruptive behavior studied included age, sex, ADLs, mobility, communication, continence, cognitive impairment, and disruptive behavior. The Katz and Akporn Index of ADLs (Katz & Akpom, 1976) mea-

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sured the ADLs. Mobility was defined as the ability to walk 20 yards or more. Communication referred to ability to communicate coherently with or without difficulty. Cognitive impairment was determined by the SPMSQ (Pfeiffer, 1975). A x2 indicated significantly more disruptive behavior (P < .05) among residents who were older, more dependent in ADLs, nonambulatory, impaired in communication, incontinent, and more severely cognitively impaired. No significant differences were detected by sex when total disruptive behaviors were examined. However, a separate analysis of behaviors indicated a prevalence of noisiness in women (10.7% v 8.0%) and abusiveness in men (16.8% v 10.1%). Highest rates of disruptive behavior were associated with moderate-to-severe cognitive impairment. Cohen-Mansfield, Marx, and Rosenthal (1989) examined the agitated behaviors of 408 residents of a long-term facility. The Cohen-Mansfield Agitation Inventory ([CMAI] Cohen-Mansfield, 1986) measured agitated behaviors. The charge nurse of day, evening, and night shifts rated each resident independently to provide a measurement of agitated behaviors across a 24-hour period. Factor analysis showed three factors of agitation: aggressive behavior, physically nonaggressive behavior, and verbally agitated behavior. Frequency of agitated behaviors decreased significantly from day to evening to night (P < ,lO). Most manifestations of particular types of agitated behaviors correlated significantly across shifts as determined by Pearson correlation (77 of 87 correlations reached statistical significance at or above the .05 level). This suggests that participants were likely to manifest the same behaviors across shifts. Using the same subjects mentioned above, Cohen-Mansfield and Marx (1989) used observation and interview to examine the three syndromes of agitation (aggressive behavior, physically nonaggressive behavior, and verbally agitated behavior) for their relationship to three aspects of past personality (previous mental disorders, exposure to stress, and leisure habits). The relationship between manifestation of agitated behaviors before nursing home entry and occurrence of agitation within the nursing home was also examined. Stress was measured using an adaptation of the Holmes and Rahe’s Social Readjustment Scale (Muhlenkamp, Gress, & Flood, 1975), Rahe’s Recent Life

BECK, ROSSBY, AND BALDWIN

Changes Questionnaire (Holmes & Rahe, 1967), the Life Crises History (Rahe, 1975), and the Life Events Questionnaire (Center for the Study of Neuroses, 1980). Preference for leisure habits was measured using a modification of Gordon, Gaitz, and Scott’s Intensity of Expressive Social and Leisure Activity Scale (1976). Past mental disorders were determined by interviewing significant others who were asked to respond to items based on the classifications of the Diagnostic and Statistical Manual of Mental Disorders, Revised ([DSM-IIIR] American Psychiatric Association, 1988). Family and friends were interviewed to determine the resident’s agitated behaviors before entry into the nursing home. Results showed no significant correlation between categories of leisure habits and measures of agitation. No significant correlation was found between history of mental disorder and agitation. A greater total number of agitated behaviors were manifested by residents who had experienced the stressors of (1) separation from a spouse (t = 3.05, P < .Ol), (2) life-threatening situations (t = 2.16, P < .05), (3) retirement (t = 2.10, P < .Ol), (4) financial problems (t = 3.56, P < .Ol) or (5) immigration (t = 2.66, P < .Ol) than residents without these experiences. However, residents who had experienced the stress of relocation at least once before nursing home entry exhibited fewer total agitated behaviors than did residents who had not relocated (t = - 2.80, P < .Ol). More aggressive behavior was shown by those residents who had never relocated (t = - 2.97, P < .Ol). More aggressive behavior was also displayed by those who had experienced financial problems (t = 2.43, P < .05). Those who had relocated manifested fewer physically nonaggressive behavior (t = - 1.99, P < .05). Results also indicated that agitation before nursing home entry is highly related to agitated behavior within the nursing home. Marx, Cohen-Mansfield, and Werner ( 1990) used observation to examine the three dimensions of agitation (aggressive behavior, physically nonaggressive behavior, and verbally agitated behavior) in relation to the occurrence of falls in the same 408 residents. Residents who fell exhibited a greater total number of agitated behavior than those who did not fall (r = 15.01 v. r = 8.07, F score = 42.81, P < .Ol). They also exhibited significantly more behaviors from each dimension

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of agitated behaviors than residents who did not fall. The relationship between agitation and sleep disturbances was also studied through observation by Cohen-Mansfield and Marx (1990) with the same sample group. The CMAI (CohenMansfield, 1986) measured agitation. Total hours of sleep, length of time needed to fall asleep, frequency of awakenings, length of average wakeful period, the hour that each resident woke up in the morning, and external disruptions of night sleep were recorded by a nurse. Agitation and sleep ratings were completed within a 2-week period to provide a consistent view of each resident. Pearson correlation coefficients indicated that an overall lack of sleep and interruptions of sleep are related to the amount and type of agitation manifested during the day. Physically nonaggressive behavior and aggressive behavior were linked with increasing time needed to fall asleep and external disruptions. Physically nonaggressive behavior was associated with frequent awakenings by the resident. Verbally agitated residents awoke frequently on their own at night, had fewer hours of sleep, and were awake very early in the morning. External disruptions of sleep and length of awake periods (r = .64, .19, respectively; P < .Ol) were significantly correlated to cognitive impairment. Multiple regressions indicated that sleep disturbances were independently and modestly related to agitation. Cohen-Mansfield, Marx, and Rosenthal ( 1990) conducted additional research on this same population to determine the relationships between agitated behaviors and the independent variables of dementia, cognitive impairment, and impaired ADL functioning. For each subject, a hypothetical diagnosis of dementia was determined by a review of medical records, then presented for confirmation by a physician. Nursing staff and social workers rated agitation using the CMAI (CohenMansfield, 1986). Cognitive impairment was measured using a modified version of the Brief Cognitive Rating Scale ([BCRS] Reisberg, Scheneck, Ferris, Schwartz, & de Leon, 1983). Six items (eating, walking, bathing, dressing, toileting, and grooming) from the Rapid Disability Rating Scale-2 ([RDRS-21 Linn & Linn, 1983) were used to measure impaired ADL functioning. Cognitive impairment was significantly corre-

lated with ratings both by nursing staff (N) and social workers (SWs) for the total number of agitated behaviors (r = .37 for N; r = .40 for SWs), aggressive behaviors (r = .22 for N; r = .26 for SWs), physically nonaggressive behaviors (r = .37, .40 respectively), and verbally aggressive behaviors (r = - .09, - .13 respectively, all P < .Ol). No significant correlation was found between cognitive impairment and hiding/hoarding behaviors. Stepwise regressions were estimated for each measure of agitation on the independent variables of cognitive impairment, ADL impairment, and dementia. Cognitive impairment and ADL impairment explained 37% of the variance in physically nonaggressive behaviors (e.g., pacing). Cognitive impairment and ADL impairment also explained 7% of the variance in verbally agitated behavior. Cognitive impairment was the only variable to explain the variance of aggressive behaviors (positive quadratic term; R2 = .07), whereas ADL impairment provided the best explanation of hiding and hoarding behavior (negative quadratic term; R2 = .Ol). This study indicates that aggressive and physically nonaggressive manifestations of agitation are strongly related to cognitive impairment, while verbal agitation and hiding/hoarding are not. A sample of 213 community-based, demented elderly and their 213 caregivers were studied by Hamel, Gold, Andres, Reis, Dastoor, Grauer, and Bergman (1990). Observation, interviews, and questionnaires were used to obtain data. Subjects had a diagnosis of a progressive dementia disorder for at least 1 year, and had no additional lifethreatening or immobilizing illnesses. The Hierarchic Dementia Scale (Dastoor & Cole, 1983) indicated that the majority of subjects were moderately impaired. The RAS forms 1 and 2 (Ryden, 1988a, 1988b) were used to determine the nature, frequency, and context of aggressive behavior. The General Health Questionnaire (Goldberg, 1978) determined physical and psychological health of the caregiver. The Burden Interview (Zarit, Orr, & Zarit, 1985) measured the degree of burden perceived by the caregiver. The Memory and Behavior Problem Checklist (Zarit, Grr, & Zarit, 1985) assessed frequency of problems reported in demented patients, as well as caregiver reactions. The Social Interaction Questionnaire (Gilleard, Belford, Gilleard, Whittick, & Gledhill, 1984)

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Table 1. Summary

Author/Date Zimmer, Watson,

of Literature Review on Correlates of Disruptive Behavior

Sample

Method of

Type of

Characteristics.1

Data

Behavior

Size

Collection

Studied

Nursing home

and Treat

residents

(1984)

(n = 1,139)

Review of

Correlates of Disruptive Behavior Studied

Behavioral

Cognitive status

Findings Cognitive impairment

in

utilization

problems

psychotropic drug

81.4% of behavioral

review

(behavior that

use, physical

problem residents;

forms

required active

restraint use,

psychotropic drug use

or constant

depression

consideration

in 58% of serious behavior residents;

in care

restraint use in 46.2%

planning)

of behavior problem residents; depression in 9% of residents with serious behavioral problems

Winger, Schirm,

Nursing home

Interviews

Aggression

Cognitive status,

Aggressive residents did

and Stewart

residents, R age

and

(endangering

functional ability,

less well on MSQ;

(1987)

= 69 fn = 43),

observations

others,

age, length of stay,

nursing home resi-

and interme-

endangering

perceived control

diate care

self, and

residents, X age

disturbing)

dents with decreased functional ability demonstrated

more

serious behavioral

= 64 (n = 58)

problems; older nursing home residents exhibited more aggressive behavior; aggressive residents had longer lengths of stay; no significant correlation between perceived control and aggression Meddaugh

(1987)

Unclear sensorium in all

Chart and

Aggression

residents, X age

incident

(abusive)

= 85 (n = 72)

report

social support

impaired functional

review

network, gender,

ability in all abusive

age

residents; abusive

Nursing home

Cognitive status, functional ability,

abuse incidents;

incidents occurred in 30% of residents who received less than weekly visits; 11% receiving at least weekly visits; women abusers, 11%; men abusers, 30%; abusers < 85, 15.8%; abusers 1 85, 11.8% Nilsson,

Psychogeriatric,

Observations

Age, length of

Aggression (no

Age significantly related

Palmstierna,

long-term in-

definition

hospitalization,

to aggression fre-

and Wistedt

patients, 38

provided)

gender

quency; length of stay

(1988)

with marked

significantly related to

cognitive

degree of aggression;

impairment

no significant

(n = 40)

correlation between gender and frequency or degree of aggression (Continued

on following

page)

287

DISRUPTIVE BEHAVIOR IN ELDERLY

Table 1. (continuedd)

Author/Date Ryden,

Sample

Method of

Type of

Characteristics/

Data

Behavior

Size

Collection

Studied

Cognitively

Observations

Aggression

Correlates of Disruptive Behavior Findings

Studied Cognitive status,

No significant corre-

Bossenmaier,

impaired

(physical,

functional ability,

lation between

and McLachlan

nursing home

verbal, sexual)

psychotropic drug

aggression and mental

(1989)

residents

(physical,

use, physical

status or between

(n = 124)

50.8%; verbal,

restraint use

aggression and

47.6%; sexual,

functional ability;

4.0%)

significantly higher aggression scores in residents receiving psychotropic drugs; physical restraints used in 60.5% of residents studied; no significant correlation between aggression and restraint use

Werner, Cohen-

Long-term care

Observation

Agitation

Physical restraint

Significantly more total

Mansfield,

residents with

(aggressive,

Braun, and

high levels of

physically

manifested when

Marx (1989)

cognitive im-

nonaggressive

residents were

pairment

and verbally

restrained as

(n = 24)

nonaggressive)

compared with when

use

agitation was

they were not restrained Haller, Binder,

Psychiatric in-

Chart review

Violent (attacks

Gender, social class,

No significant corre-

and McNeil

patients with

person or

ethnic group, living

lation between

(1989)

senile dementia

objects,

with family

violence and sex,

fn = 52)

threatens to

social class and ethnic

attack, verbal

group; significant

attack)

correlation between living with family and violence

Jackson et al. (1989)

Nursing home

Interviews,

Disruptive

Cognitive status,

Disruptive behavior was

residents

chart

behavior

functional ability,

more prevalent in

fn = 3,351)

reviews,

(noisiness,

continence,

residents who were

staff

abusiveness,

communication,

more severely

reports,

wandering)

age, sex

cognitively impaired,

observations

were more functionally impaired, nonambulatory, incontinent, and had impaired communication: disruptive behavior increased with age; significantly higher prevalence of noisiness in women and abusiveness in men

(Continued on following pagel

288

BECK, ROSSBY, AND BALDWIN

Table 1. (continuedl

Author/Date Cohen-Mansfield,

Sample

Method of

Type of

Characteristics/

Data

Behavior

Size

Collection

Studied

Nursing home

Observations

Agitation

Correlates of Disruptive Behavior Studied Time of day

Findings Agitation frequency

Marx, and

residents

and

(aggressive

significantly decreased

Rosenthal

In = 408)

interviews

physically

from day to night;

(1989)

nonaggressive,

particular types of

and verbally

agitation correlated

agitated)

significantly across shifts

Cohen-Mansfield

Nursing home

Observations

Agitation

Premorbid

Premorbid agitation was

and Marx

residents

and

(aggressive,

(1989)

In = 408)

interviews

physically

with agitation in the

nonaggressive,

nursing home

personality

positively correlated

and verbally agitated) Marx, Cohen-

Nursing home

Observations

Agitation

Falls

Residents who fell had

Mansfield, and

residents

(aggressive,

greater total number

Werner (1990)

(n = 408)

physically

of agitated behaviors

nonaggressive, and verbally agitated) Cohen-Mansfield,

Nursing home

Observations

Agitation

Sleep patterns

Overall lack of sleep and

and Marx

residents

and

(aggressive,

(1990)

(n = 408)

interviews

physically

related to the amount

nonaggressive,

and type of agitation

interruptions of sleep

and verbally agitated) Cohen-Mansfield,

Nursing home

Observations

Agitation

Cognitive status

Residents with severe

Marx, and

residents

(aggressive.

Rosenthal

(n = 408)

physically

and moderate-to-

nonaggressive,

severe functional

verbally

impairment

agitated,

a greater total number

hiding, and

of agitated behaviors

hoarding)

and physically

(1990)

functional ability

cognitive impairment

exhibited

nonaggressive agitation Hamel et al. (1990)

Community-

Observations,

Aggression

Social support

A more troubled

based

interviews

(physical,

network,

premorbid

dementia

and ques-

verbal, sexual)

permorbid

caregiverisubject

subjects

tionnaires

(physical,

personality

(n = 213)

relationship and

34.1%) (verbal,

premorbid aggression

51 .O%) (sexual,

significantly predicted

7.2%)

current subject aggression

measured the quality of the relationship between caregiver and subject before onset of illness. The NE0 Personality Inventory (Costa & McCrae, 1985) measured caregiver neuroticism (defined as emotional overreactivity and lability). Subjects reacted with aggression most often when given instructions to do something. Premorbid aggression was reported for 9.6% of the subjects. Feeling angry but not responding in an ag-

gressive manner was reported by 10.11% of the caregivers. Caregiver aggressive reactions were reported at 10.6%. A multiple regression analysis determined that the predictors of aggressive behavior in dementia subjects, accounting for 25.42% of the variance in total aggression scores (F = 5.35, P < .OOOl), were premorbid aggression, greater frequency in behavior and memory problems, and a more troubled premorbid relationship between

DISRWTIVE

BEHAVIOR

IN ELDERLY

caregiver and subject. Level of cognitive impairment did not predict aggression. No caregiver demographic or personality characteristics predicted aggression scores. SUMMARY

This review of literature shows that the elderly in long-term care facilities demonstrate behavior considered to be disruptive. In the studies reviewed, average prevalence of reported disruptive behavior among a total of 5,650 subjects was 42.8%. Precise comparative analysis of studies is not possible due to the variety of instruments used and lack of uniformity of terms. Furthermore, a limited number of correlates is investigated in each study. Several studies have linked disruptive behavior with cognitive impairment (Cohen-Mansfield, Marx, & Rosenthal, 1990; Jackson et al., 1989; Winger, Schirm, 8z Stewart, 1987; Zimmer, Watson, & Treat, 1984) and functional dependency (Cohen-Mansfield, Marx, & Rosenthal, 1990; Jackson et al., 1989; Meddaugh, 1987). However, one study (Ryden, Bossenmaier, & McLachlan, 1989) did not support the relationship of functional dependency to aggression. Sex was associated with disruptive behavior in one study (Jackson et al., 1989), though two studies found no significant relationship between sex and disruptive behavior (Haller, Binder, & McNeil, 1989; Nilsson, Palmstiema, & Wistedt, 1988). Premorbid personality, (Cohen-Mansfield & Marx, 1989; Hamel et al., 1990) and age (Jackson et al., 1989; Nilsson, Palmstiema, & Wistedt, 1988) are additional factors with reported relationships to disruptive behaviors. Physical restraint use was significantly related to disruptive behavior by Werner, CohenMansfield, Braun, and Marx (1989), though Ryden, Bossenmaier, and McLachlan (1989) found no significant relationship. An individual’s social support network has been associated with disruptive behaviors (Hamel et al., 1990; Meddaugh, 1987), as have length of hospitalization (Nilsson, Palmstiema, & Wistedt, 1988), psychotropic drug use (Ryden, Bossenmaier, & McLachlan, 1989), falls (Marx, Cohen-Mansfield, & Werner, 1990), sleep pattern (Cohen-Mansfield & Marx, 1990), living with family (Haller, Binder, & McNeil, 1989), time of day (Cohen-Mansfield, Marx, & Rosenthal, 1989), and communication and

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incontinence (Jackson et al., 1989). Perceived control (Winger, Schirm, & Stewart, 1987), as well as social class and ethnic group (Haller, Binder, & McNeil, 1989) have not been found to be associated with disruptive behavior. A summary of the relationship of these biopsychosocial correlates to disruptive behavior is presented in Table 2. The finding that most disruptive behaviors seem to occur during the day and during assistance with ADLs (Cohen-Mansfield, Marx, & Rosenthal, 1989; Nilsson, Palmstiema, & Wistedt, 1988; Ryden, Bossenmaier, & McLachlan, 1989) has important implications for development of nursing interventions. These findings were not contradicted by other studies. In light of findings correlating increased agitation/aggression with drug and restraint use (Ryden, Bossenmaier, & McLachlan, 1989; Werner, Cohen-Mansfield, Braun, & Marx, 1989), experimental research that focuses on (1) nurse/resident relationship and (2) effectiveness of nursing interventions other than administration of drugs and restraints seems a plausible recommendation. Increased disruption during the day and during assistance with ADLs (Cohen-Mansfield, Marx, & Rosenthal, 1989; Nilsson, Palmstiema, & Wistedt, 1988; Ryden, Bossenmaier & McLachlan, 1989) suggests that further investigation is needed. Research that examines (1) interventions designed to decrease anxiety/frustration during ADL activities (2) effect of low versus high daytime staff/resident ratio on disruptive behaviors, and (3) staff perception of disruptive behavior in relation to frequency of occurrence is recommended. Studies that rely on chart reviews and/or reports from staff for data related to disruptive behavior leave many questions about the nature, context, and accuracy of reported events. More observation-based, qualitative studies in which observed behaviors are fully described within the context of occurrence are recommended. These studies could include: (1) a consistent definition of disruptive behavior, (2) use of the same instruments for measures of behavior and its correlates, and (3) description of precedent and/or antecedent nursing interactions as integral elements of the occurrence. Such research would contribute a more specific understanding of types of disruptive behavior in the cognitively impaired elderly resident and would also contribute to the development of meaningful interventions for management of the disturbed demented resident.

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Table 2. Correlates and Their Ralationship to Disruptive Behavior Related to Disruptive Behavior?

Correlate Studied Cognitive status

Functional ability

Sex

Premorbid personality

Age Restraint use

Author/Date

Yes

Jackson et al. (1989)

Yes

Cohen-Mansfield,

No

Ryden, Bossenmaier, and McLachlan (1989)

Marx, and Rosenthal (1990)

Yes

Meddaugh

Yes

Jackson et al. (1989)

Yes

Cohen-Mansfield.

No

Ryden, Bossenmaier,

Yes

Jackson et al. (1989)

(1987) Marx, and Rosenthal (1990) and McLachlan (1989)

No

Nilsson, Palmstierna, and Wistedt (1988)

No

Hailer, Binder, and McNeil (1989)

Yes

Cohen-Mansfield

Yes

Hamel et al. (1990)

Yes

Jackson et al. (1989)

and Marx (1989)

Yes

Nilsson, Palmstierna, and Wistedt (1988)

Yes

Werner, Cohen-Mansfield,

No

Ryden, Bossenmaier,

Braun, and Marx (1989)

and McLachlan (1989)

Social support network

Yes

Hamel et al. (1990)

Length of hospitalization

Yes

Nilsson, Palmstierna, and Wistedt (1988)

Psychotropic drug use

Yes

Ryden, Bossenmaier, and McLachlen (1989)

Falls

Yes

Marx, Cohen-Mansfield,

Sleep pattern

Yes

Cohen-Mansfield

Communication

Yes

Jackson et al. (1989)

Incontinence

Yes

Jackson et al. (1989)

Living with family

Yes

Haller, Binder, and McNeil (1989)

Time of day

Yes

Cohen-Mansfield,

Perceived control

No

Winger, Schirm, and Stewart (1987)

Social class

No

Haller, Binder, and McNeil (1989)

Ethnic group

No

Haller, Binder, and McNeil (1989)

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