Pain Assessment for Older Persons in Nursing Home Care: An Evidence-Based Practice Guideline

Family Involvement in Pain Management for People Living With Dementia: An Integrative Review

This review aimed to synthesize current evidence on family involvement in pain management for people living with dementia from the perceptions of family carers and health care professionals. An integrative review was conducted using CINAHL, Embase, PubMed, PsycINFO and Cochrane Library electronic databases. The Mixed Methods Appraisal Tool was used to appraise the articles, followed by thematic analysis. Twelve studies were included and four themes were identified: (1) The roles and responsibilities of family carers; (2) Enablers and barriers for pain identification; (3) Strategies and concerns for pain management; and (4) Lack of staff education and communication with health care providers. Family carers play an important role in pain assessment and management for people living with dementia, but they cannot be actively involved in this process due to a lack of communication with health care providers. An integrated approach that includes education and communication with family carers and health care providers is needed.

Process of pain assessment in people with dementia living in nursing homes: a scoping review protocol

INTRODUCTION

Pain is a common symptom in people with dementia; untreated, it reduces quality of life and causes suffering. People with dementia living in nursing homes most often have dementia in moderate to severe stages. The cognitive impairment, including language and communication difficulties, challenges pain assessment. Since pain is a subjective experience, self-reporting is the gold standard of assessment methods. Healthcare professionals are advised to help people with dementia communicate about their pain. The proposed scoping review is the first step in the development of a systematic pain assessment model for people with dementia living in nursing homes. The scoping review aims to identify, categorise and summarise knowledge on how pain assessment processes in this population are described in the literature, with a special focus on self-reporting.

METHODS AND ANALYSIS

The scoping review will be conducted following the six-stage framework developed by Arksey and O'Malley, in addition to recent methodological developments. Systematic searches in CINAHL, Embase, Medline and PsycInfo will be conducted. The protocol follows the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklists, and the scoping review will adhere to the PRISMA-ScR checklist. The review will include research that concerns assessment of pain in people with dementia living in nursing homes. Studies will be evaluated for quality and ethical standards. The analysis process will follow Bradbury-Jones et al's PAGER framework. Patterns will be formed using thematic analysis. An overview of advances, gaps, evidence for practice and research recommendations associated with each pattern will be prepared. The research questions and results will be presented to and discussed in a reference group comprising nursing home residents, relatives, healthcare professionals and nursing home managers.

ETHICS AND DISSEMINATION

The scoping review aims to collect and summarise data from available publications and does not require ethical approval. The final manuscript will be submitted to a peer-reviewed, open-access journal. REGISTRATION IN OPEN SCIENCE FRAMEWORK: https://osf.io/8kaf5/.

Pain and its associated factors in nursing home residents

This study examined the associated factors of pain in nursing home residents in Austria. A secondary data analysis was conducted with data collected in the 'Nursing Quality Measurement 2.0' study, which is conducted annually in Austrian healthcare institutions. Data from nursing homes from 2016 to 2019 were used. Of the 1,239 residents, 40.4% had experienced pain in the last 7 days and/or were experiencing pain at the time of the survey. The regression analysis showed that diseases of the musculoskeletal system, diseases of the skin and subcutaneous tissue, diseases of the circulatory system, pressure injuries, and a risk of malnutrition were statistically associated with pain (Χ2 (11) = 82,392, p < 0.000). Healthcare professionals working in nursing homes need to be aware of associated factors when treating pain in residents. This awareness is important because it enables professionals to identify high-risk groups and take appropriate steps.

Development, evaluation, and implementation of an online pain assessment training program for staff in rural long-term care facilities: a case series approach

Background

Pain among long-term care (LTC) residents, and especially residents with dementia, is often underassessed and this underassessment has been attributed, in part, to gaps in front-line staff education. Furthermore, although evidence-based clinical guidelines for pain assessment in LTC are available, pain assessment protocols are often inconsistently implemented and, when they are implemented, it is usually within urban LTC facilities located in large metropolitan centers. Implementation science methodologies are needed so that changes in pain assessment practices can be integrated in rural facilities. Thus, our purpose was to evaluate an online pain assessment training program and implement a standardized pain assessment protocol in rural LTC environments.

Methods

During the baseline and implementation periods, we obtained facility-wide pain-related quality indicators from seven rural LTC homes. Prior to implementing the protocol, front-line staff completed the online training program. Front-line staff also completed a set of self-report questionnaires and semi-structured interviews prior to and following completion of the online training program.

Results

Results indicated that knowledge about pain assessment significantly increased following completion of the online training program. Implementation of the standardized protocol resulted in more frequent pain assessments on admission and on a weekly basis, although improvements in the timeliness of follow-up assessments for those identified as having moderate to severe pain were not as consistent. Directed content analysis of semi-structured interviews revealed that the online training program and standardized protocol were well-received despite a few barriers to effective implementation.

Conclusions

In conclusion, we demonstrated the feasibility of the remote delivery of an online training program and implementation of a standardized protocol to address the underassessment of pain in rural LTC facilities.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03020-8.

Algorithm-based pain management for people with dementia in nursing homes

BACKGROUND

People with dementia in nursing homes often experience pain, but often do not receive adequate pain therapy. The experience of pain has a significant impact on quality of life in people with dementia, and is associated with negative health outcomes. Untreated pain is also considered to be one of the causes of challenging behaviour, such as agitation or aggression, in this population. One approach to reducing pain in people with dementia in nursing homes is an algorithm-based pain management strategy, i.e. the use of a structured protocol that involves pain assessment and a series of predefined treatment steps consisting of various non-pharmacological and pharmacological pain management interventions.

OBJECTIVES

To assess the effects of algorithm-based pain management interventions to reduce pain and challenging behaviour in people with dementia living in nursing homes. To describe the components of the interventions and the content of the algorithms.

SEARCH METHODS

We searched ALOIS, the Cochrane Dementia and Cognitive Improvement Group's register, MEDLINE, Embase, PsycINFO, CINAHL (Cumulative Index to Nursing and Allied Health Literature), Web of Science Core Collection (ISI Web of Science), LILACS (Latin American and Caribbean Health Science Information database), ClinicalTrials.gov and the World Health Organization's meta-register the International Clinical Trials Registry Portal on 30 June 2021.

SELECTION CRITERIA

We included randomised controlled trials investigating the effects of algorithm-based pain management interventions for people with dementia living in nursing homes. All interventions had to include an initial pain assessment, a treatment algorithm (a treatment plan consisting of at least two different non-pharmacological or pharmacological treatment steps to reduce pain), and criteria to assess the success of each treatment step. The control groups could receive usual care or an active control intervention. Primary outcomes for this review were pain-related outcomes, e.g. the number of participants with pain (self- or proxy-rated), challenging behaviour (we used a broad definition that could also include agitation or behavioural and psychological symptoms assessed with any validated instrument), and serious adverse events.

DATA COLLECTION AND ANALYSIS

Two authors independently selected the articles for inclusion, extracted data and assessed the risk of bias of all included studies. We reported results narratively as there were too few studies for a meta-analysis. We used GRADE methods to rate the certainty of the results.

MAIN RESULTS

We included three cluster-randomised controlled trials with a total of 808 participants (mean age 82 to 89 years). In two studies, participants had severe cognitive impairment and in one study mild to moderate impairment. The algorithms used in the studies varied in the number of treatment steps. The comparator was pain education for nursing staff in two studies and usual care in one study. We judged the risk of detection bias to be high in one study. The risk of selection bias and performance bias was unclear in all studies. Self-rated pain (i.e. pain rated by participants themselves) was reported in two studies. In one study, all residents in the nursing homes were included, but fewer than half of the participants experienced pain at baseline, and the mean values of self-rated and proxy-rated pain at baseline and follow-up in both study groups were below the threshold of pain that may require treatment. We considered the evidence from this study to be very low-certainty and therefore are uncertain whether the algorithm-based pain management intervention had an effect on self-rated pain intensity compared with pain education (MD -0.27, 95% CI -0.49 to -0.05, 170 participants; Verbal Descriptor Scale, range 0 to 3). In the other study, all participants had mild to moderate pain at baseline. Here, we found low-certainty evidence that an algorithm-based pain management intervention may have little to no effect on self-rated pain intensity compared with pain education (MD 0.4, 95% CI -0.58 to 1.38, 246 participants; Iowa Pain Thermometer, range 0 to 12). Pain was rated by proxy in all three studies. Again, we considered the evidence from the study in which mean pain scores indicated no pain, or almost no pain, at baseline to be very low-certainty and were uncertain whether the algorithm-based pain management intervention had an effect on proxy-rated pain intensity compared with pain education. For participants with mild to moderate pain at baseline, we found low-certainty evidence that an algorithm-based pain management intervention may reduce proxy-rated pain intensity in comparison with usual care (MD -1.49, 95% CI -2.11 to -0.87, 1 study, 128 participants; Pain Assessment in Advanced Dementia Scale-Chinese version, range 0 to 10), but may not be more effective than pain education (MD -0.2, 95% CI -0.79 to 0.39, 1 study, 383 participants; Iowa Pain Thermometer, range 0 to 12). For challenging behaviour, we found very low-certainty evidence from one study in which mean pain scores indicated no pain, or almost no pain, at baseline. We were uncertain whether the algorithm-based pain management intervention had any more effect than education for nursing staff on challenging behaviour of participants (MD -0.21, 95% CI -1.88 to 1.46, 1 study, 170 participants; Cohen-Mansfield Agitation Inventory-Chinese version, range 7 to 203). None of the studies systematically assessed adverse effects or serious adverse effects and no study reported information about the occurrence of any adverse effect. None of the studies assessed any of the other outcomes of this review.

AUTHORS' CONCLUSIONS

There is no clear evidence for a benefit of an algorithm-based pain management intervention in comparison with pain education for reducing pain intensity or challenging behaviour in people with dementia in nursing homes. We found that the intervention may reduce proxy-rated pain compared with usual care. However, the certainty of evidence is low because of the small number of studies, small sample sizes, methodological limitations, and the clinical heterogeneity of the study populations (e.g. pain level and cognitive status). The results should be interpreted with caution. Future studies should also focus on the implementation of algorithms and their impact in clinical practice.

Quantitative Electrophysiological Evaluation of the Analgesic Efficacy of Two Lappaconitine Derivatives: A Window into Antinociceptive Drug Mechanisms

Quantitative evaluation of analgesic efficacy improves understanding of the antinociceptive mechanisms of new analgesics and provides important guidance for their development. Lappaconitine (LA), a potent analgesic drug extracted from the root of natural Aconitum species, has been clinically used for years because of its effective analgesic and non-addictive properties. However, being limited to ethological experiments, previous studies have mainly investigated the analgesic effect of LA at the behavioral level, and the associated antinociceptive mechanisms are still unclear. In this study, electrocorticogram (ECoG) technology was used to investigate the analgesic effects of two homologous derivatives of LA, Lappaconitine hydrobromide (LAH) and Lappaconitine trifluoroacetate (LAF), on Sprague-Dawley rats subjected to nociceptive laser stimuli, and to further explore their antinociceptive mechanisms. We found that both LAH and LAF were effective in reducing pain, as manifested in the remarkable reduction of nocifensive behaviors and laser-evoked potentials (LEPs) amplitudes (N2 and P2 waves, and gamma-band oscillations), and significantly prolonged latencies of the LEP-N2/P2. These changes in LEPs reflect the similar antinociceptive mechanism of LAF and LAH, i.e., inhibition of the fast signaling pathways. In addition, there were no changes in the auditory-evoked potential (AEP-N1 component) before and after LAF or LAH treatment, suggesting that neither drug had a central anesthetic effect. Importantly, compared with LAH, LAF was superior in its effects on the magnitudes of gamma-band oscillations and the resting-state spectra, which may be associated with their differences in the octanol/water partition coefficient, degree of dissociation, toxicity, and glycine receptor regulation. Altogether, jointly applying nociceptive laser stimuli and ECoG recordings in rats, we provide solid neural evidence for the analgesic efficacy and antinociceptive mechanisms of derivatives of LA.

Pain Behavior of People with Intellectual and Developmental Disabilities Coded with the New PAIC-15 and Validation of Its Arabic Translation

Pain management necessitates assessment of pain; the gold standard being self-report. Among individuals with intellectual and developmental disabilities (IDD), self-report may be limited and therefore indirect methods for pain assessment are required. A new, internationally agreed upon and user-friendly observational tool was recently published—the Pain Assessment in Impaired Cognition (PAIC-15). The current study’s aims were: to test the use of the PAIC-15 in assessing pain among people with IDD and to translate the PAIC-15 into Arabic for dissemination among Arabic-speaking professionals. Pain behavior following experimental pressure stimuli was analyzed among 30 individuals with IDD and 15 typically developing controls (TDCs). Translation of the PAIC followed the forward–backward approach; and reliability between the two versions and between raters was calculated. Observational scores with the PAIC-15 exhibited a stimulus–response relationship with pressure stimulation. Those of the IDD group were greater than those of the TDC group. The overall agreement between the English and Arabic versions was high (ICC = 0.89); single items exhibited moderate to high agreement levels. Inter-rater reliability was high (ICC = 0.92). Both versions of the PAIC-15 are feasible and reliable tools to record pain behavior in individuals with IDD. Future studies using these tools in clinical settings are warranted.

Association between Self-Reported Pain, Cognition, and Neuropathology in Older Adults Admitted to an Outpatient Memory Clinic-A Cross-Sectional Study

Cognitive impairment has been linked to reduced self-reporting of pain. However, it is unclear whether the various cognitive functions are similarly and/or independently associated with such pain report measures. In the present study, we explored how executive functioning (EF), memory, and global cognition relate to self-reported pain and investigated whether underlying neuropathology partially accounts for these results. We used Lasso categorical regression to analyze data from 179 individuals visiting a memory clinic. The data included the self-reported pain occurrence, intensity, severity and frequency, clinical diagnoses, neuropsychological scores, white matter hyperintensities, medial temporal lobe atrophy, depressive symptoms, and demographics. Our results showed that worse memory and EF performance predicted a lower pain occurrence. In those individuals who did report pain, worse memory predicted lower pain intensity, severity, and frequency levels, but for EF reversed effects were found, with worse EF predicting higher pain scores. These relationships were only partially explained by reductions in white matter and medial temporal lobe integrity. Similar effects were found for depressive symptoms. Our findings highlight the distinct associations of EF and memory with self-reported pain. A similar pattern of relationships found for both self-reported pain and depressive symptoms may reflect shared latent affective components.

An Evidence-Based Guideline on Pain Assessment in Nursing Homes For Residents and Informal Caregivers

BACKGROUND

Nursing home residents are often affected by pain. Pain assessment aims to determine pain intensity and quality. An evidence-based guideline on pain assessment in nursing homes was developed to support residents and informal caregivers in archiving an adequate pain assessment prerequisite to pain treatment.

AIM

The residents' guideline presents key recommendations that is comprehensible and accessible to residents and informal carers.

DESIGN

We conducted a content analysis.

SETTING/SUBJECTS

Therefore, all recommendations of an evidence-based guideline for pain assessment in nursing home were evaluated on relevance for supporting residents' decision-making process.

METHODS

Two researchers conducted the content analysis independently and as a result, 29 recommendations could be included. In addition, representatives of a support-group organization for patients with pain validated the derived recommendations.

RESULTS

The present residents' guideline of pain assessment consists of nine thematic categories, written in laymen's terms to enable older persons to make informed choices and optimizing their own pain management process.

CONCLUSIONS

The Guideline is available in print format and ready for implementation to enhance the effects on maintaining the physical and psychological well-being and optimal care of older adults in Nursing Homes.

Multidimensional Pain Assessment Tools for Ambulatory and Inpatient Nursing Practice

BACKGROUND

One of the critical components in pain management is the assessment of pain. Multidimensional measurement tools capture multiple aspects of a patient's pain experience but can be cumbersome to administer in busy clinical settings.

AIM

We conducted a systematic review to identify brief multidimensional pain assessment tools that nurses can use in both ambulatory and acute care settings.

METHODS

We searched PUBMED/MEDLINE, PsychInfo, and CINAHL databases from January 1977 through December 2019. Eligible English-language articles were systematically screened and data were extracted independently by two raters. Main outcomes included the number and types of domains captured by each instrument (e.g., sensory, impact on function, temporal components) and tool characteristics (e.g., administration time, validity) that may affect instrument uptake in practice.

RESULTS

Our search identified eight multidimensional assessment tools, all of which measured sensory or affective qualities of pain and its impact on functioning. Most tools measured impact of pain on affective functioning, mood, or enjoyment of life. One tool used ecological momentary assessment via a web-based app to assess pain symptoms. Time to administer the varying tools ranged from less than 2 minutes to 10 minutes, and evidence of validity was reported for seven of the eight tools.

CONCLUSIONS

Our review identified eight multidimensional pain measurement tools that nurses can use in ambulatory or acute care settings to capture patients' experience of pain. The most important element in selecting a multidimensional pain measure, though, is that one tool is selected that best fits the practice and is used consistently over time.

Pain and delirium: mechanisms, assessment, and management

PURPOSE

Pain and delirium are common problems for older people. Both conditions are prevalent in acute hospital settings. In people living in the community, delirium often precipitates presentation to the emergency department. Pain and delirium are known to interact in a complex and multidirectional way. This can make it challenging for staff to recognize and treat pain in people with delirium.

METHODS

This paper aims to explore the complex relationship between pain and delirium and on pain assessment in delirium, drawing together evidence from a range of settings including acute medical, cardiac and orthopaedic post-operative cohorts, as well as from aged care.

RESULTS

A limited number of studies suggest there is an association between pain and delirium; however, this is a complex, particularly where analgesics which may-themselves cause delirium are prescribed. Factors acting on the pathway between pain and delirium may include depression, sleep deprivation and disturbance of the cholinergic system. Delirium affects the ability to self-report pain. The fluctuating nature of delirium as well as reduced awareness and attention may challenge practitioners in recognizing, assessing and treating pain. Evidence concerning the reliability and validity of current observational and self-assessment tools in people with delirium is unclear but some show promise in this population.

CONCLUSION

The current evidence base regarding assessing pain in people with delirium is lacking. Tentative recommendations, drawing on current guidelines require robust testing. Guidelines for people with pain and dementia require adaptations regarding the unique characteristics of delirium. The complex interplay between dementia, pain and delirium warrants further investigation across a range of settings.