Find information on thousands of medical conditions and prescription drugs.

Apraxia

Apraxia is a neurological disorder characterized by loss of the ability to execute or carry out learned (familiar) movements, despite having the desire and the physical ability to perform the movements. more...

Home
Diseases
A
Aagenaes syndrome
Aarskog Ose Pande syndrome
Aarskog syndrome
Aase Smith syndrome
Aase syndrome
ABCD syndrome
Abdallat Davis Farrage...
Abdominal aortic aneurysm
Abdominal cystic...
Abdominal defects
Ablutophobia
Absence of Gluteal muscle
Acalvaria
Acanthocheilonemiasis
Acanthocytosis
Acarophobia
Acatalasemia
Accessory pancreas
Achalasia
Achard syndrome
Achard-Thiers syndrome
Acheiropodia
Achondrogenesis
Achondrogenesis type 1A
Achondrogenesis type 1B
Achondroplasia
Achondroplastic dwarfism
Achromatopsia
Acid maltase deficiency
Ackerman syndrome
Acne
Acne rosacea
Acoustic neuroma
Acquired ichthyosis
Acquired syphilis
Acrofacial dysostosis,...
Acromegaly
Acrophobia
Acrospiroma
Actinomycosis
Activated protein C...
Acute febrile...
Acute intermittent porphyria
Acute lymphoblastic leukemia
Acute lymphocytic leukemia
Acute mountain sickness
Acute myelocytic leukemia
Acute myelogenous leukemia
Acute necrotizing...
Acute promyelocytic leukemia
Acute renal failure
Acute respiratory...
Acute tubular necrosis
Adams Nance syndrome
Adams-Oliver syndrome
Addison's disease
Adducted thumb syndrome...
Adenoid cystic carcinoma
Adenoma
Adenomyosis
Adenosine deaminase...
Adenosine monophosphate...
Adie syndrome
Adrenal incidentaloma
Adrenal insufficiency
Adrenocortical carcinoma
Adrenogenital syndrome
Adrenoleukodystrophy
Aerophobia
Agoraphobia
Agrizoophobia
Agyrophobia
Aicardi syndrome
Aichmophobia
AIDS
AIDS Dementia Complex
Ainhum
Albinism
Albright's hereditary...
Albuminurophobia
Alcaptonuria
Alcohol fetopathy
Alcoholic hepatitis
Alcoholic liver cirrhosis
Alektorophobia
Alexander disease
Alien hand syndrome
Alkaptonuria
Alliumphobia
Alopecia
Alopecia areata
Alopecia totalis
Alopecia universalis
Alpers disease
Alpha 1-antitrypsin...
Alpha-mannosidosis
Alport syndrome
Alternating hemiplegia
Alzheimer's disease
Amaurosis
Amblyopia
Ambras syndrome
Amelogenesis imperfecta
Amenorrhea
American trypanosomiasis
Amoebiasis
Amyloidosis
Amyotrophic lateral...
Anaphylaxis
Androgen insensitivity...
Anemia
Anemia, Diamond-Blackfan
Anemia, Pernicious
Anemia, Sideroblastic
Anemophobia
Anencephaly
Aneurysm
Aneurysm
Aneurysm of sinus of...
Angelman syndrome
Anguillulosis
Aniridia
Anisakiasis
Ankylosing spondylitis
Ankylostomiasis
Annular pancreas
Anorchidism
Anorexia nervosa
Anosmia
Anotia
Anthophobia
Anthrax disease
Antiphospholipid syndrome
Antisocial personality...
Antithrombin deficiency,...
Anton's syndrome
Aortic aneurysm
Aortic coarctation
Aortic dissection
Aortic valve stenosis
Apert syndrome
Aphthous stomatitis
Apiphobia
Aplastic anemia
Appendicitis
Apraxia
Arachnoiditis
Argininosuccinate...
Argininosuccinic aciduria
Argyria
Arnold-Chiari malformation
Arrhythmogenic right...
Arteriovenous malformation
Arteritis
Arthritis
Arthritis, Juvenile
Arthrogryposis
Arthrogryposis multiplex...
Asbestosis
Ascariasis
Aseptic meningitis
Asherman's syndrome
Aspartylglycosaminuria
Aspergillosis
Asphyxia neonatorum
Asthenia
Asthenia
Asthenophobia
Asthma
Astrocytoma
Ataxia telangiectasia
Atelectasis
Atelosteogenesis, type II
Atherosclerosis
Athetosis
Atopic Dermatitis
Atrial septal defect
Atrioventricular septal...
Atrophy
Attention Deficit...
Autoimmune hepatitis
Autoimmune...
Automysophobia
Autonomic dysfunction
Familial Alzheimer disease
Senescence
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
Medicines

The root word of Apraxia is praxis which is Greek for an act, work, or deed.

Types

There are several types of apraxia including:

  • limb-kinetic (inability to make fine, precise movements with a limb),
  • ideomotor (inability to carry out a motor command),
  • ideational (inability to create a plan for or idea of a specific movement),
  • buccofacial or facial-oral (inability to carry out facial movements on command, i.e., lick lips, whistle, cough, or wink) - which is perhaps the most common form,
  • verbal (difficulty coordinating mouth and speech movements),
  • constructional (inability to draw or construct simple configurations),
  • and oculomotor (difficulty moving the eyes).

Apraxia may be accompanied by a language disorder called aphasia.

Developmental Apraxia of Speech (DAS) presents in children who have no evidence of difficulty with strength or range of motion of the articulators, but are unable to execute speech movements because of motor planning and coordination problems. This is not to be confused with phonological impairments in children wtih normal coordination of the articulators during speech.

Symptoms of Acquired Apraxia of Speech (AOS) and Developmental Apraxia of Speech (DAS) include inconsistent articulatory errors, groping oral movements to locate the correct articulatory position, and increasing errors with increasing word and phrase length. AOS often co-occurs with Oral Apraxia (during both speech and non-speech movements) and Limb Apraxia.

Treatment

Generally, treatment for individuals with apraxia includes physical therapy, occupational therapy or speech therapy. If apraxia is a symptom of another disorder, the underlying disorder should be treated.

Prognosis

The prognosis for individuals with apraxia varies, With therapy, some patients improve significantly, while others may show very little improvement.

Read more at Wikipedia.org


[List your site here Free!]


Pain Assessment in Nonverbal Older Adults with Advanced Dementia
From Perspectives in Psychiatric Care, 7/1/05 by Smith, Marianne

TOPIC: Pain assessment is a particular challenge among individuals with advanced dementia who lack the ability to formulate and express their experience of discomfort.

PURPOSE: Awareness of pain scales and methods specifically designed for use with nonverbal individuals with dementia is critical to expanded use and testing in clinical settings.

SOURCES: Computerized literature searches using four databases revealed the five observational scales and two caregiver reports methods reviewed.

CONCLUSIONS: A small number of valid, reliable, and sensitive scales are available for use by nurses and allied health personnel. Each has strengths and limitations and all would benefit from additional testing.

Search terms: Dementia care, pain assessment, advanced dementia

Overview of the Problem

The role of discomfort, both emotional and physical, is well known and accepted as an antecedent to behavioral disturbances among people with dementia (Hall & Buckwalter, 1987; Teri & Logsdon, 2000; Volicer & Hurley, 1999). The loss of ability to process, understand, and describe internal and external experiences regularly leads to behavioral expressions of distress, particularly as the disease progresses (Kovach, Weissman, Griffie, Matson, & Muchka, 1999; Volicer, 2001). Like other aging individuals, those with dementia are likely to have one or more chronic health conditions that cause pain, which, in turn, contributes to unnecessary discomfort, dysfunctional behavior, and diverse behavioral symptoms, and potential worsening of comorbid conditions. As a result, pain is an important factor to assess in older adults with dementia.

Nurses, and other allied healthcare providers that provide day-to-day care, are in key positions to facilitate accurate assessment and adequate treatment of pain, particularly among individuals in late-stage dementia who lack the ability to process their experiences and communicate needs verbally. No matter what the care setting-home, nursing home, or inpatient unit-both advanced practice and generalist nurses regularly play pivotal roles in managing complex patient care problems like pain assessment in advanced dementia. Through direct care, supervisory, educational, consultation, and interdisciplinary roles, nurses may positively influence care practice. Enhanced awareness of methods to accurately depict the pain experiences of nonverbal individuals with advanced dementia are critically important to effective care, treatment, and management across the healthcare continuum.

Purpose

This review of literature highlights factors related to pain assessment among older adults with advanced dementia who are unable to communicate verbally. Background factors, including rates of pain among older adults as a group, common barriers to pain assessment among elderly, and problems inherent to usual pain assessment methods, are briefly reviewed to provide a framework for understanding pain assessment in advanced dementia. Specific problems created by dementia are then reviewed, including the need for pain definitions and methods that address the unique needs of those who are unable to communicate verbally (alternatively called nonverbal and noncommunicative throughout this paper). Seven assessment methods are reviewed, including brief discussion of items and psychometric properties. Conclusions related to possible future steps to further strengthen assessment scales and their use in practice are offered.

Sources of Literature Reviewed

Articles describing pain assessment methods that did not rely on verbal report were identified as part of a larger literature review related to pain measurement among older adults (Smith & Bjoro, 2002). Computerized literature searches of four databases (i.e., MEDLINE, CINAHL, PubMed, and EMB Reviews) used various combinations of search terms related to pain and older adults, and limited searches to older adults, research, and to a lesser extent, review articles. Narrower searches using combinations of dementia and pain focused on pain assessment methods. Assessment tools developed for use with cognitively impaired and nonverbal individuals were identified, reviewed, and included here. In addition to computerized literature searches, additional resources related to pain assessment in advanced dementia were identified via professional colleagues engaged in the field and review of key references. Five observational scales and two proxy methods that rely on the report of a caregiver who knows the person with dementia well are reviewed here. Psychometric properties are summarized in table format to allow easy comparison and evaluation for potential inclusion in clinical practice and research.

Pain in Older Adults

Consideration of pain in advanced dementia is perhaps best understood from the perspective of the larger picture of pain in late life. Pain is a common problem among older adults, affecting as many as 25% to 86% of community-dwelling older adults (Herr, 2002) and 40% to 80% of individuals living in long-term care facilities (AGS, 1998; Cutson, 2001; Thomas, Flaherty, & Morley, 2001). Pain directly causes suffering and is associated with the worsening of many health conditions including decreased physical function, impaired mobility, decreased socialization, depression, sleep disturbance, and increased health utilization costs (AGS, 1998; Ferrell, Ferrell, & Rivera, 1995). In spite of its known prevalence and associated risks, pain is often unrecognized and frequently undertreated, particularly in older adults with cognitive impairment (Ferrell, 1995; Mobily & Herr, 2001; Weissman & Matson, 1999).

A variety of barriers to pain assessment and treatment have been identified. Myths about older adults contribute to under-treatment of pain, including the common misconceptions that pain is a "natural" consequence of aging and cannot be avoided, that if older adults do not complain of pain, they must not experience it, and that older adults have decreased sensitivity to pain (Herr, 2002). Political and social pressures to control illicit drug use, fear of producing addiction, and concern about differing effects of pain medications on older adults also contribute to problems (Thomas et al., 2001). Staffing shortages and staff who are inadequately trained to assess pain are also believed to contribute to problems in long-term care settings (Blomqvist & Hallberg, 2001; Cutson, 2001). Finally, the beliefs of older adults themselves, like being afraid to complain or bother busy nurses, and thinking they need to learn to live with pain, further contribute to problems (Feldt & Finch, 2001). Although older adults, as a group, are at risk for under-treatment of pain, problems among cognitively impaired older people are even more severe (AGS, 1998; Miller, Nelson, & Mezey, 2000).

Pain in Older Adults with Dementia

Alzheimer's disease and related progressive disorders create additional disabilities that interfere with pain detection and treatment. The essential features of dementia, including memory impairment, disturbance in executive function, aphasia, apraxia, and agnosia (APA, 2000), progressively interfere with all aspects of function. Loss of ability to use language is perhaps the most widely recognized confounding factor in pain identification (Farrell, Katz, & Helme, 1996). Of equal or more importance is the increasing loss of ability to introspect and comprehend internal states (Kovach et al., 1999), a process that is necessary to accurately identify sensations, feelings, and experiences. Finally, two cultural beliefs, that nothing can be done for individuals with dementia, and that persons with dementia do not experience pain so do not require medication or other interventions (Miller et al., 2000) create additional barriers to pain assessment in dementia.

Over the last decade, numerous investigators have established that cognitively impaired older people are able to report pain using one or more method (Ferrell, 1995; Ferrell et al, 1995; Herr, 2002; Mobily & Herr, 2001; Parmelee, Smith, & Katz, 1993). However, these studies have systematically eliminated cognitively impaired patients who are noncommunicative. For example, Ferrel and colleagues' pioneering work (1995) on pain in cognitively impaired patients excluded 21% of subjects because they were "mute and unresponsive, and no meaningful information could be obtained" (p. 594). This perspective is echoed elsewhere in the literature and underscores the current emphasis placed on self-report of pain. Given the fact that language loss is inevitable in the most advanced stages of dementia, valid and reliable methods to assess pain in noncommunicative older adults are clearly needed.

Definitions of Pain and Advanced Dementia

Common definitions of pain include the fact that it is a complex, multidimensional, subjective, unpleasant, and emotional experience that is mediated by sensory experiences and nociceptive events, and influenced by social, cultural, and individual differences (Mobily & Herr, 2001). McGuire conceptualized the multidimensional, subjective and personal experience of pain as having six primary dimensions: physiologic, sensory, affective, cognitive, behavioral, and sociocultural (McGuire, 1992). The important emphasis placed on pain as a subjective and personal experience simultaneously stresses self-report as the most valuable indicator. For example, the widely used definition of pain as being "whatever the experiencing person says it is and exists whenever he or she says it does" (McCaffery & Beebe, 1989) underscores this belief. For some, pain report is the "gold standard" of pain assessment in older adults (Pickering, Eschalier, & Dubray, 2000), a perspective that is illustrated by belief that the only reliable evidence of pain is a patient's self-report to the question, "Do you have pain right now?" (Thomas et al., 2001). While pain experienced by those with advanced dementia will likewise be a personal experience that is unpleasant, emotional, complex, and multidimensional, the definition of pain used must not rely on self-report.

In the limited work that has been conducted in pain assessment among nonverbal patients with advanced dementia, the term discomfort is often used interchangeably with pain. Hurley and colleagues (1992) defined discomfort in advanced dementia as "a negative emotional and/or physical state subject to variation in magnitude in response to internal or environmental conditions" (p. 369). This definition was operationalized as being the presence of behaviors that signal negative emotional and/or physical states and that can be observed by a trained rater who is unfamiliar with the patient's usual behavior (Hurley, Volicer, Hanrahan, Houde, & Volicer, 1992). Other definitions of pain and/or discomfort among nonverbal patients with advanced dementia often are based on this early definition (Kovach, Noonan, Griffie, Muchka, & Weissman, 2001; Simons & Malabar, 1995). Of interest, Hurley and colleagues most recently used the term pain instead of discomfort, defining pain simply as a multifactorial symptom expressed by several signs but forming a single construct (Warden, Hurley, & Volicer, 2003). Thus, observable behaviors, or signs, are the foundation of pain assessment in advanced dementia. In this review of literature, the terms discomfort and pain are assumed to address the same construct when applied to nonverbal persons with advanced dementia.

Assessing Pain in Advanced Dementia

Measurement of pain in nonverbal patients with advanced dementia has progressed slowly over the last 15 years. The pioneering work conducted by Volicer, Hurley, and colleagues (Hurley & Volicer, 2001; Hurley et al., 1992; Volicer, Fabiszewski, Rheaume, & Lasch, 1988; Warden et al., 2003) continues to be the backbone of assessment methods today. The following review of assessment methods targets observational methods that may be used by any trained provider and thus may be especially valuable in clinical settings. Two additional pain assessment methods that rely on caregiver report, and which may be more valuable in consultation and liaison roles, are also described. Information about the scales' items (Table 1) and psychometric properties (Table 2) are summarized and provided in table format to facilitate comparison.

Comfort Checklist

The importance of meeting comfort needs in advanced dementia was first described by Volicer and colleagues (1988) as part of a text that addressed clinical management of people with Alzheimer's disease. The variety of factors that could easily predispose persons with advanced dementia to discomfort was emphasized and included contractures, arthritic events, unwitnessed injuries, and an array of intercurrent illnesses (Volicer et al., 1988). The need for objective assessment of noncommunicative patients led to the development of the Comfort Checklist, a descriptive scale that focuses on documentation of behavioral symptoms that signal distress and possible pain.

The Comfort Checklist includes five domains of assessment: vocalization, motor signs, behavioral indicators, facial expressions, and miscellaneous symptoms. Specific signs are specified for each domain with suggested rating from none to moderate to severe. Refer to Table 1, "Comparison of Pain Scale Items," to review assessment parameters. Although the checklist does not assign numeric rating of discomfort, it clearly points to the complex and multifactoral assessment that may be needed to assure comfort among nonverbal patients with Alzheimer's disease. The accompanying text emphasizes the importance of using behavioral cues as indicators of discomfort or pain, and likens assessment processes to those used with infants and children who lack language. Although the care needs of adults with dementia and children are not analogous, the "process of elimination" used to assess possible causes of crying in infants parallels the type of assessment required for nonverbal patients with Alzheimer's disease. In many care situations, descriptive methods like the checklist are valuable early in the assessment process when deciphering possible antecedents to behavioral symptoms is underway.

Discomfort Scale in Dementia of the Alzheimer's Type (DS-DAT)

Work to develop and refine a valid and reliable method to assess discomfort in advanced dementia was described by Hurley and colleagues (1992). As noted earlier, discomfort was conceptually defined as "a negative emotional and/or physical state subject to variation in magnitude in response to internal or environmental conditions" (p. 369) and operationalized as "the presence of behaviors considered to express a negative and/or physical state that are capable of being observed by a trained rater unfamiliar with the usual behavioral patterns of the person" (p. 370). Refer to Table 1 to review the nine behavioral indicators of discomfort included on this scale.

Three underlying assumptions grounded tool development. First, discomfort can be observed although it may not be verbally expressed by patients with advanced dementia of the Alzheimer's type (DAT). Second, patients with DAT cannot verbally control their expressions or demeanor; thus, observed behaviors can be considered external markers of internal states. Finally, states of normal development are reversed in DAT. As a result, indicators of discomfort would be similar to those in infants and children.

Three separate studies were conducted in Veterans Administration facilities to develop and test the Discomfort Scale. Refer to Table 2, "Comparison of Psychometric Properties," for additional detail relating to content validity, internal consistency, inter-rater reliability, and construct validity. Psychometric evaluation of the Discomfort Scale demonstrated that it had the required properties of a new scale. As noted by the authors, external validity was limited because the scale was tested exclusively with men and thus additional studies that include women were needed. Likewise, questions remained about the timing and duration of discomfort assessments, particularly during aversive care procedures, and the sensitivity of the tool to changes-related interventions designed to reduce discomfort.

In the years since its publication, practical concerns about the DS-DAT have emerged, including the complexity of the scoring schema, associated difficulties achieving inter-rater reliability in clinical settings, and the requirement of 5 min of nursing time to rate the scale (Bachino, Snow, Kunik, Cody, & Wristers, 2001; Hooker, Barrick, Mitchell, & Sloane, 1997; Krulewitch et al., 2000; Miller, Neelon, Dalton et al, 1996). In spite of these difficulties, it remains the gold standard by which nearly all additional observational pain assessment tools are evaluated by their developers. Of perhaps most importance, conceptual grounding of the DS-DAT laid the foundation for others to build upon, including the later development of the Pain Assessment in Advanced Dementia or PAINAD (described later).

Observable Pain Behaviors Scale

A third pain scale developed and pilot tested for use with nonverbal elderly patients targeted individuals with dementia and others. The research hypothesis was that "the phenomenon of pain in the elderly patient who cannot communicate verbally can be systematically assessed and effectiveness of interventions to relieve pain [can be] evaluated" (Simons & Malabar, 1995, p. 665). Although the investigators reviewed the DS-DAT for possible use in their study, the scale was rejected because the definition of discomfort could not be considered to mean pain alone. However, neither a conceptual or operational definition of pain among nonverbal patients was provided. The investigators chose to develop their own rating system using an "amalgam of pain behaviors" adopted from an observation method for chronic low back pain (Keefe & Block, 1982).

The Observable Pain Behaviors Scale includes seven domains including verbal responses, facial expression, body language, physiological change, behavioral change, and conscious state. Each domain is rated by selecting the verbal description that best fit the patient's presentation. The number of verbal descriptions per domain ranges from three to eight and are not mutually exclusive categories. Refer to Table 1 to review specific descriptions. No information about reliability or validity is provided. Likewise, the adaptation of items from the original scale is not described. As a result, a number of steps are needed to establish the validity and reliability of this scale prior to further use. Of note, the outcomes of this study are often reported in the literature (Bachino et al., 2001; Cook, Niven, & Downs, 1999; Feldt, 2000; Huffman & Kunik, 2000) despite the lack of documentation about tool's psychometric properties.

Checklist of Nonverbal Pain Indicators (CNPI)

The Checklist of Nonverbal Pain Indicators (CNPI) offers a brief, easy-to-use assessment method for determining pain in cognitively impaired older adults. Instrument testing was conducted with elderly hip fracture patients (Feldt, 2000), including both cognitively impaired (n = 53) and cognitively intact (n - 35) patients. The CNPI is composed of six items that are rated as present or absent. Refer to Table 1 to review items included. Checklist items were adapted from the University of Alabama Birmingham Pain Behavior Scale, a 10-item scale was developed for use in rehabilitative medicine that is rated on three-point scale (Richards, Nepomuceno, Riles, & Suer, 1982).

Feldt (2002) reported that the CNPI has good face validity, and established inter-rater reliability for periods of rest and movement. The CNPI was also compared to a six-point verbal description scale (VDS) using a subsample of patients who were able to rate their pain verbally. Correlations between the VDS and CNPI at rest and during movement, both for cognitively intact and impaired patients, are detailed in Table 2.

The CNPI is both brief and easy to use, making it an attractive alternative in clinical practice. However, use of dichotomous scoring reduces the scale's sensitivity to possible changes in pain. Likewise, reevaluation of item validity is warranted based on the failure of some items to detect pain either at rest or during movement. In specific, only two items performed well in detecting pain among cognitively impaired patient during rest, including grimacing (31%) and restlessness (21%) with the remaining four items being observed less than 12% of the time. The CNPI's low probability of detecting baseline pain (at rest) may reduce the likelihood that pain treatment will be initiated and may easily contribute to acute exacerbations of pain on movement. Additional studies are needed to examine item validity and further evaluate use of the CNPI, particularly with nonverbal populations.

Pain Assessment in Advanced Dementia (PAINAD)

A recently published pain assessment scale extends earlier work with the Comfort Checklist and Discomfort Scale. The Pain Assessment in Advanced Dementia (PAINAD) was developed as a brief, easy-to-administer measure of pain in nonverbal individuals that, by design, provides an overall score and is sufficiently sensitive to detect changes in pain (Warden et al., 2003).

Pain in persons with advanced dementia was defined as a multifactorial symptom expressed by several signs but forming a single construct. Items for the PAINAD were generated through literature review and consultation with experts in the field, and building on both earlier research with the DS-DAT and the Faces, Legs, Activity, Cry, Consolability Scale used with children (Merkel, Shayevitz, Voepel-Lewis, & Malviya, 1997). Five items include breathing, negative vocalization, facial expression, body language, and consolability. Each item is rated on a three-point scale from 0 to 2 with specific descriptions provided for each level of discomfort.

Psychometric properties of the PAINAD were evaluated in a two-phase study that involved direct observation and retrospective chart audits. Direct observation involved rating by two trained raters who assessed patients under three conditions using combinations of the PAINAD, two visual analog scales (the Pain VAS and Discomfort VAS), and the DS-DAT. Retrospective chart audits of pain assessment using the PAINAD supported the tool's sensitivity to changes in pain. See Table 2 for specific information.

The PAINAD shows promise as a brief, easily administered and yet sensitive measure of pain among nonverbal patients with advanced dementia. As the investigators acknowledged, additional studies related to the tool's use in other settings, at different times of day, and using a more diverse population of subjects, including women and racial/ethnic minorities, are needed to further establish its psychometric properties and value in clinical practice. In addition, use of patient videotapes to establish inter-rater reliability may not be easily replicated elsewhere.

Pain Assessment for the Dementing Elderly (FADE)

The Pain Assessment for the Dementing Elderly (PADE) consists of 24 items that are divided into three sections, including physical signs, global assessment, and functional activities (Villanueva, Smith, Erickson, Lee & Singer, 2003). Items were developed on the basis of literature review, interviews with nursing staff in long-term care facilities, and naturalistic observation of patients in a dementia unit. Fifteen items are scored from 1 to 4 using description to anchor item scoring (e.g., none to extreme; calm to extremely restless). The remaining nine items offer four categorical choices that are also scored from 1 to 4 in response to a question. Throughout the scale, lower scores are associated with more functional behavior and higher scores are associated with dysfuctional or distressed behaviors. Content of items is similar to those in other scales but is framed in the form of questions (e.g., "Does the patient have a sad facial expression?"; "During transfers, does the patient grimace, brace him- or herself, groan, etc.?").

Reliability and validity were addressed in two studies that included a total of 65 older adults living in residential and skilled care facilities. Ratings were made by caregivers (e.g., most were nursing assistants) after training and under the supervision of a nurse. Rating required 5 to 10 min to complete. Reliability measures included inter-rater reliability, internal consistency and test-retest. Refer to Table 2 for psychometric properties. Validity measures included comparison of the PADE to a verbal agitation scale to determine construct validity and various comparisons of patients who experienced pain, had painful conditions, and exhibited agitation to establish criterion validity. The authors conclude that the PADE demonstrates good reliability and validity.

Limitations noted by Villanueva and colleagues include the relatively small number of subjects in the study overall, limited minority representation in the sample, and lack of a comfort intervention to determine if the PADE can detect changes in pain status. Other potential limitations include lack of a cutoff score, and the extended amount of time needed (up to 10 min of observation), to rate pain. Although the authors believed that use of regular caregivers was a strength of this study, questions remain about the extent to which prior knowledge of the patient's behavior may have facilitated use of the scale. As described in the next sections, those who know the patient well often are able to detect subtle changes in behavior that may be oblivious to another (e.g., staff of inpatient care settings).

Proxy Pain Questionnaire (PPQ)

The Proxy Pain Questionnaire (PPQ) is one of two methods described here that specifically rely on the report of a caregiver who knows the patient well. The PPQ was developed as part of a larger study that examined the relationship between Minimum Data Set (MDS) pain scores and nursing assistant assessments of pain (Fisher et al., 2002). The PPQ asks three questions about the presence (i.e., "Within the last week has the resident experienced pain?"), frequency (i.e., "How often does the resident experience pain?"), and intensity (i.e., "When this resident has pain, how would you describe the extent of the pain?"). The first item (presence) is answered yes/no and the remaining items are rated on a 13-point horizontal Likert-type scale that is anchored with verbal descriptors (i.e., never, occasionally, moderately often, often, and always for frequency; mild, moderate, and severe for intensity).

Preliminary findings support the value of the PPQ as a proxy rating method. Test-retest reliability was significantly and highly correlated for all three items. Refer to Table 2 for additional detail. The PPQ scores were deemed a more sensitive measure of pain than the MDS based on its higher correlation with analgesic medication use compared to the MDS. Likewise, the MDS identified pain in only 20% of the sample even though 46% were receiving analgesic medication. In contrast, the PPQ identified pain in 48% of the sample.

Assessment of Discomfort in Dementia (ADD)

Another promising approach in pain assessment is the Assessment of Discomfort in Dementia (ADD) protocol (Kovach et al., 2001; Kovach, Noonan, Griffie, Muchka, & Weissman, 2002). The ADD protocol was developed for use with persons who have moderate to severe dementia who are unable to clearly and consistently report on their internal states (Kovach et al, 2001). Based on the assumption that behaviors associated with dementia are symptoms of unmet needs (Kovach et al., 2002), the protocol provides stepwise recommendations that combine assessment and intervention strategies. In the ADD protocol, pain is defined as an "unpleasant internal state that results from physiologic stimuli" while affective discomfort is "an unpleasant internal state that results from nonphysiologic stimuli" and discomfort is an "unpleasant physical or affective internal state that results from either physiologic or nonphysiologic stimuli" (Kovach et al., 2002, p. 17).

Behavioral symptoms are believed to be caused by either affective or physical causes which are simultaneously assessed in the protocol. Changes in facial expression, mood, body language, voice, and behavior are used as triggers to initiate use of the protocol when basic needs interventions have failed to provide comfort. The protocol is structured in five steps that include (a) physical assessment, (b) review of history for potentially painful conditions and use of interventions related to the physical assessment findings, (c) affective assessment and implementation of nonpharmacologic comfort measures, (d) use of a prescribed, as needed nonopioid analgesic if behaviors persist, and (e) consultation with the physician or other health provider if behaviors persist, or use of a prescribed, as needed psychotropic drug (Kovach et al., 2002).

Limited information about the psychometric properties of ADD is currently available. Refer to Table 2 for additional detail. Although protocol is not focused on measurement of pain or discomfort, preliminary findings suggest that the method is effective in reducing potentially pain-related behavioral symptoms in dementia, and promotes use of both nonpharmacological comfort measures and pharmacological interventions, primarily use of analgesics (Kovach et al., 1999, 2001). Although additional testing is indicated with both the PPQ and ADD protocol, each shows promise as means to more accurately identify pain among nonverbal older adults with advanced dementia.

Discussion and Conclusions

The tools reviewed here each contribute to the slowly expanding arena of pain instrumentation for the most impaired individuals with dementia-those who have lost their ability to process experiences and communicate them verbally to others. The profound disability experienced by those in end-state dementia makes pain assessment difficult at best. Lacking the ability to differentiate between various sensations and needs, the same type of behavior that signals the need to toilet may emerge when a person experiences discrete physical pain. Each is experienced as form of stress that may erupt in behavioral symptoms (Hall & Buckwalter, 1987; Kovach, Griffie, Muchka, Noonan, & Weissman, 2000).

Although this review focused primarily on tools that may be used by caregivers who do not know the usual habits and patterns of the patient, qualitative research clearly supports the fact that knowing the person is extremely important in the detection of pain among those with dementia (Marzinski, 1991; Parke, 1998). Various studies exploring nurses' perceptions of pain among their nonverbal elderly patients report that diverse behavioral symptoms are used as a basis for initiating a pain intervention (Blomqvist & Hallberg, 2001; Cohen-Mansfield & Creedon, 2002; Kovach et al., 2000; Parke, 1998). Atypical and seemingly paradoxical behaviors may represent pain in specific patients as described by Marzinski (1991) who reported that pain caused one patient who normally moaned and rocked to become quiet and withdrawn, while in another, blinking rapidly signaled nurses of pain. Parke (1998) concluded that nurses recognize pain by knowing the individual with pain, and by having many relationships and experiences with cognitively impaired patients that leads to "intuitive perception" or knowing by diversity. Of importance, the ability to accurately recognize changes in behaviors that may signal pain extends to nursing assistants (Fisher et al., 2002; Horgas & Dunn, 2001; Parke, 1998) who provide most of the day-to-day care in long-term care facilities, home health, and other settings.

Clearly, the need for assessment methods that accurately identify pain in older adults with advanced dementia who are nonverbal will only increase in the future. As the number of older adults increases over the next five decades as the baby boomers age, so will the number of individuals who experience dementia and survive into the terminal stages. "Intuitive" assessment methods, including use of proxy measures and nursing care protocols that rely on knowing the person well may be useful in identifying pain that would otherwise be undetected. In an ideal situation, care providers would know the care recipients' personal habits and history. However, in light of early and rapid discharge from acute care settings and staff turnover rates in nursing facility care, this ideal may never be realized. Thus, pain assessment measures that may be used by a person who does not know the usual habits, patterns, and baseline behaviors of the patient are needed to better assure that treatable discomfort is relieved in this complex patient population.

Each method described here has merit in a given context of care, and each has limitations. Nurse clinicians and other healthcare providers must apply methods thoughtfully, considering the goals of pain assessment, the relative complexity of the measure in relation to potential day-to-day users, and environmental factors that may facilitate or deter use in "real time." Finally, additional structured trials to further test the use of these, or other, methods are needed to assure that reliable and valid measures that are sufficiently sensitive to detect pain, and pain relief, among nonverbal patients with dementia are available for use in day-to-day care settings.

References

American Geriatric Society. (1998). Panel on chronic pain in older adults: The management of chronic pain in older persons. Journal of tlic American Geriatrics Society, 46, 635-651.

American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders, 4th éd., Text Revision. Washington, D.C.: Author.

Bachino, C, Snow, A.L., Kunik, M.E., Cody, M., & Wristers, K. (2001). Principles of pain management and treatment in noncommunicative demented patients. Clinical Gerontotogist, 23(3/4), 97-115.

Blomqvist, K., & Hallberg, LR. (2001). Recognising pain in older adults living in sheltered accommodation: The views of nurses and older adults. International Journal of Nursing Studies, 38(3), 305-318.

Cohen-Mansfield, J., & Creedon, M. (2002). Nursing staff members' perceptions of pain indicators in persons with severe dementia. Clinical Journal of Pain, 18(1), 64-73.

Cook, A.K., Niven, C.A., & Downs, M.G. (1999). Assessing the pain of people with cognitive impairment. International Journal of Geriatric Psychiatry, 14(6), 421-425.

Cutson, T.M. (2001). Management of pain in the older adult. Clinics in Family Practice, 3(3), 1-14.

Farrell, M.J., Katz, B., & Helme, R.D. (1996). The impact of dementia on the pain experience. Pain, 67, 7-15.

Feldt, K.S. (2000). The checklist of nonverbal pain indicators (CNPI). Pain Management Nursing, 1(1), 13-21.

Feldt, KS., & Finch, M. (2001). Older adults with hip fracture: Treatment of pain following hospitalization. Journal of Gerontological Nursing, 28(8), 27-35.

Ferrell, B.A. (1995). Pain evaluation and management in the nursing home. Annals of Internal Medicine, 123(9), 681-687.

Ferrell, B.A., Ferrell, B.R., & Rivera, L. (1995). Pain in cognitively impaired nursing home patients. Journal of Pain & Symptom Management, 10(8), 591-598.

Fisher, S.E., Burgio, L.D., Thorn, B.E., Allen-Burge, R.A., Gerstle, }., Roth, D.L., & Scott, J.A. (2002). Pain assessment and management in cognitively impaired nursing home residents: Association of certified nursing assistant pain report, minimum data set pain report, and analgesic medication use. Journal of the American Geriatrics Society, 50(1), 152-156.

Hall, G.R., & Buckwalter, K.C. (1987). Progressively lowered stress threshold: A conceptual model for care of adults with Alzheimer's disease. Archives of Psychiatric Nursing, 1(6), 399-406.

Herr, K. (2002). Chronic pain: Challenges and assessment strategies. Journal of Gerontological Nursing, 28(1), 20-27; quiz 54-25.

Hooker, P.L., Barrick, A.L., Mitchell, M., & Sloane, P.O. (1997). Reliability and validity of the discomfort scale for patients with dementia of the Alzheimer's type (DS-DAT) as a measure of discomfort during bathing. Gerontologist, 37(Special issue 1), 9394.

Horgas, A.L., & Dunn, K. (2001). Pain in nursing home residents: Comparison of residents' self-report and nursing assistant perceptions. Journal of Gerontological Nursing, 27(3), 44-53.

Huffman, J.C., & Kunik, M.E. (2000). Assessment and understanding of pain in patients with dementia. Gerontologist, 40(5), 574-581.

Hurley, A.C., & Volicer, L. (2001). Evaluation of pain in cognitively impaired individuals. Journal of the American Geriatrics Society, 49(10), 1397-1398.

Hurley, A.C., Volicer, B.J., Hanrahan, P.A., Houde, S., & Volicer, L. (1992). Assessment of discomfort in advanced Alzheimer patients. Research in Nursing & Health, 15(5), 369-377.

Keefe, F., & Block, A. (1982). Development of an observation method for assessing pain behavior in chronic low back pain patients. Behavior Therapy, 13, 363-375.

Kovach, C.R., Griffie, J., Muchka, S., Noonan, P.E., & Weissman, D.E. (2000). Nurses' perceptions of pain assessment and treatment in the cognitively impaired elderly: It's not a guessing game. Clinical Nurse Specialist, 14(5), 215-220.

Kovach, C.R., Noonan, P.E., Griffie, J., Muchka, S., & Weissman, D.E. (2001). Use of the assessment of discomfort in dementia protocol. Applied Nursing Research, 14(4), 193-200.

Kovach, C.R., Noonan, P.E., Griffie, J., Muchka, S., & Weissman, D.E. (2002). The assessment of discomfort in dementia protocol. Pain Management Nursing, 3(1), 16-27.

Kovach, C.R., Weissman, D.E., Griffie, J., Matson, S., & Muchka, S. (1999). Assessment and treatment of discomfort for people with late-stage dementia. Journal of Pain & Symptom Management, 18(6), 412-419.

Krulewitch, H., London, M.R., Skakel, V.J., Lundstedt, GJ., Thomason, H., & Brummel-Smith, K. (2000). Assessment of pain in cognitively impaired older adults: A comparison of pain assessment tools and their use by nonprofessional caregivers. Journal of the American Geriatrics Society, 48(12), 1607-1611.

Marzinski, L.R. (1991). The tragedy of dementia: Clinically assessing pain in the confused, nonverbal elderly. Journal of Gerontological Nursing, 17(6), 25-25.

McCaffery, M. & Beebe, A. (1989). Pain: Clinical manual for nursing practice. St. Louis, MO: Mosby.

McGuire, D.B. (1992). Comprehensive and multidimensional assessment and measurement of pain. Journal of Pain & Symptom Management, 7(5), 312-319.

Merkel, M., Shayevitz, J.R., Voepel-Lewis, T., & Malviya, S. (1997). A behavioral scale for scoring postoperative pain in young children. Pediatric Nursing, 23, 293-297.

Miller, J., Neelon, V., Dalton, J., Ngandu, N., Bailey, D., Jr., Layman, E., & Hosfeld, A. (1996). The assessment of discomfort in elderly confused patients: A preliminary study. Journal of Neuroscience Nursing, 28(3), 175-182.

Miller, L.L., Nelson, L.L., & Mezey, M. (2000). Comfort and pain relief in dementia: Awakening a new beneficence. Journal of Gerontological Nursing, 26(9), 32-40.

Mobily, P., & Herr, K. (2001). Pain. In M. Maas, K. Buckwalter, M. Hardy, T. Tripp-Reimer, M. Titler, & J. Specht (Eds.), Nursing care of older adults: Diagnoses, outcomes and interventions (pp. 455-475). St. Louis, MO: Mosby.

Parke, B. (1998). Gerontological nurses' ways of knowing. Realizing the presence of pain in cognitively impaired older adults. Journal of Gerontological Nursing, 24(6), 21-28.

Parmelee, P.A., Smith, B., & Katz, I.R. (1993). Pain complaints and cognitive status among elderly institution residents. Journal of the American Geriatrics Society, 41(5), 517-522.

Pickering, G., Eschalier, A., & Dubray, C. (2000). Pain and Alzheimer's disease. Gerontology, 46(5), 235-241.

Richards, J.S., Nepomuceno, C., Riles, M., & Suer, Z. (1982). Assessing pain behavior: The UAB Pain Behavior Scale. Pain, 14(4), 393-398.

Simons, W. & Malabar, R. (1995). Assessing pain in elderly patients who cannot respond verbally. Journal of Advanced Nursing, 22, 663-669.

Smith, M., & Bjoro, K. (2002). Pain and its measurement in older adults, Seminar presented for Nursing Research for Biological Phenomenon and Interventions for the Elderly, University of Iowa College of Nursing, Iowa City, Iowa, October 9, 2002.

Teri, L., & Logsdon, R.G. (2000). Assessment and management of behavioral disturbances in Alzheimer disease. Comprehensive Therapy, 26(3), 169-175.

Thomas, D.R., Flaherty, J.H., & Morley, J.E. (2001). The management of chronic pain in long-term care settings. Annals of Long Term Care, Supplement (11), 3-20.

Villanueva, M.R., Smith, T.L., Erickson, J.S., Lee, A.C., & Singer, C.M. (2003). Pain assessment for the dementing elderly (PADE): Reliability and validity of a new measure. Journal of the American Medical Directors Association, 4(1), 1-8.

Volicer, L. (2001). Management of severe Alzheimer's disease and end-of-life issues. Clinics in Geriatric Medicine, 17(2), 377-391.

Volicer, L., & Hurley, A.C. (1999). Assessment of behavioral symptom management in demented individuals. Alzheimer Disease & Associated Disorders, J3(Supplement 1), S59-S66.

Volicer, L., Fabiszewski, K.J., Rheaume, Y.L., & Lasch, K.E. (1988). Clinical management of Alzheimer's disease. Rockville, MD: Aspen Publishers.

Warden, V., Hurley, A.C., & Volicer, L. (2003). Development and psychometric evaluation of the PAINAD (Pain Assessment in Advanced Dementia) scale. Journal of the American Medical Directors Association, 4(1), 9-15.

Weissman, D.E., & Matson, S. (1999). Pain assessment and management in the long-term care setting. Theoretical Medicine & Bioethics, 20(1), 31-43.

Marianne Smith, MS, ARNP, CS

Marrianne Smith, MS, ARNP, CS, John A. Hartford Foundation Building Academic Excellence Scholar, University of Iowa, College of Nursing.

Author contact: msmithl@netins.net, with a copy to the Editor: mary@artwindows.com

Copyright Nursecom, Inc. Jul-Sep 2005
Provided by ProQuest Information and Learning Company. All rights Reserved

Return to Apraxia
Home Contact Resources Exchange Links ebay