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Original Study| Volume 22, ISSUE 8, P1692-1698, August 2021

Managing Pain and Psychosis Symptoms in Nursing Home Patients: Results from a Cluster-Randomized Controlled Trial (COSMOS)

  • Torstein F. Habiger
    Correspondence
    Address correspondence to Torstein F. Habiger, MD, Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Alrek helseklynge, Årstadveien 17, Block D, 5018 Bergen, Norway.
    Affiliations
    Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway
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  • Wilco P. Achterberg
    Affiliations
    Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway

    Department of Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, Leiden University Medical Centre, Netherlands
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  • Elisabeth Flo-Groeneboom
    Affiliations
    Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway

    Department of Clinical Psychology, Faculty of Psychology, University of Bergen, Bergen, Norway
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  • Janne Mannseth
    Affiliations
    Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway
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  • Bettina S. Husebo
    Affiliations
    Department of Global Public Health and Primary Care, Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway

    Municipality of Bergen, Bergen, Norway
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Open AccessPublished:June 01, 2021DOI:https://doi.org/10.1016/j.jamda.2021.05.008

      Abstract

      Objectives

      In nursing homes (NHs), 30% to 60% of patients experience daily pain and >80% have dementia. This can lead to neuropsychiatric symptoms, including psychosis symptoms such as delusion. We investigated if there was a relationship between pain and psychosis symptoms over time. We also aimed to investigate the effect of a multicomponent intervention (COSMOS) on pain, psychosis symptoms, and analgesic prescription.

      Design

      COSMOS is a cluster-randomized, single blinded, controlled trial. Each NH unit was defined as a cluster and randomized to either the COSMOS intervention or care as usual. The COSMOS intervention is a multicomponent intervention, consisting of staff training in communication, pain treatment, medication review, organization of activities, and safety. The intervention lasted for 4 months with a follow-up at month 9.

      Setting and Participants

      Sixty-seven units from 33 Norwegian NHs in 8 municipalities. The study included 723 patients aged ≥65 years, residing at the NH ≥2 weeks before inclusion. Patients with a life expectancy <6 months were excluded.

      Measures

      Pain was measured using the Mobilization-Observation-Behavior-Intensity-Dementia Pain Scale. Psychosis symptoms were measured using the Neuropsychiatric Inventory–NH version. Measurements were performed at baseline, and months 4 and 9.

      Results

      Multilevel Mixed-Effect statistical analysis found that psychosis symptoms as a group (odds ratio [OR] 2.03, P = .009), and delusion (OR 2.12, P = .007) were associated with pain over time. No significant intervention effect on psychosis symptoms was observed. Compared with the control group, people with dementia in the intervention group experienced less musculoskeletal pain (β: −0.47, P = .047). Analgesic prescription was not affected by the intervention.

      Conclusion and Implications

      Pain is associated with psychosis symptoms, and pain assessment should be done when making treatment decisions on psychosis symptoms in NH patients. The COSMOS intervention improved musculoskeletal pain in people with dementia, but not psychosis symptoms, and there is need for further studies on treatment of psychosis symptoms in NH patients.

      Keywords

      The nursing home (NH) population is heterogenic, with people experiencing many different acute and chronic conditions; over 80% have dementia.
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      The prevalence of psychiatric symptoms and behavioural disturbances and the use of psychotropic drugs in Norwegian nursing homes.
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      Due to these difficulties, physicians and nurses often have to rely on proxy rating or observation of behavioral signs to assess and treat the pain.
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      Assessment and treatment of pain in people with dementia.
      More than 90% of people with dementia experience at least 1 NPS during the course of their disease.
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      The course of neuropsychiatric symptoms in nursing-home patients with dementia over a 53-month follow-up period.
      Such symptoms can be detrimental for patients, family, and caregivers alike and seriously affect patients’ QoL.
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      Pain, neuropsychiatric symptoms, and quality of life of nursing home residents with advanced dementia in The Netherlands: A cross-sectional study.
      NPS can be grouped together in clusters according to coexistent symptoms, such as agitation, mood, and psychosis, the latter consisting of delusion and hallucination.
      • Cheng S.T.
      • Kwok T.
      • Lam L.C.
      Neuropsychiatric symptom clusters of Alzheimer's disease in Hong Kong Chinese: Prevalence and confirmatory factor analysis of the Neuropsychiatric Inventory.
      ,
      • Selbaek G.
      • Engedal K.
      Stability of the factor structure of the Neuropsychiatric Inventory in a 31-month follow-up study of a large sample of nursing-home patients with dementia.
      Psychosis symptoms are common in an NH, with prevalence varying between 14% and 30%,
      • Selbaek G.
      • Kirkevold O.
      • Engedal K.
      The prevalence of psychiatric symptoms and behavioural disturbances and the use of psychotropic drugs in Norwegian nursing homes.
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      Dementia and neuropsychiatric symptoms in nursing-home patients in Nord-Trondelag County.
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      Resourse use and disease course in dementia - nursing Home (REDIC-NH), a longitudinal cohort study; design and patient characteristics at admission to Norwegian nursing homes.
      and are often the result of dementia or delirium.
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      • Cohen C.I.
      Late-life psychosis: Diagnosis and treatment.
      Studies have previously found that psychosis symptoms in people with dementia are associated with reduced QoL and admission to an NH.
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      Determinants of quality of life in nursing home residents with dementia.
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      • Bergh S.
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      Predictors for nursing home admission and death among community-dwelling people 70 years and older who receive domiciliary care.
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      Psychosis and clinical outcomes in Alzheimer Disease: A Longitudinal Study.
      An association between pain and delusion, but not hallucinations has also been found.
      • Habiger T.F.
      • Achterberg W.P.
      • Flo E.
      • et al.
      Psychosis symptoms in nursing home residents with and without dementia-Cross-sectional analyses from the COSMOS study.
      ,
      • Tosato M.
      • Lukas A.
      • van der Roest H.G.
      • et al.
      Association of pain with behavioral and psychiatric symptoms among nursing home residents with cognitive impairment: results from the SHELTER study.
      Psychosis symptoms can be triggered by different medications that can cause unwanted side effects, such as delirium.
      • Reinhardt M.M.
      • Cohen C.I.
      Late-life psychosis: Diagnosis and treatment.
      ,
      • Duran C.E.
      • Azermai M.
      • Vander Stichele R.H.
      Systematic review of anticholinergic risk scales in older adults.
      Further, polypharmacy is common in an NH population, and studies have shown that regular medication reviews are necessary to decrease the risk of unnecessary drug prescriptions, as well as unwanted side effects.
      • Potter K.
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      • Page A.
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      Deprescribing in frail older people: A randomised controlled trial.
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      • et al.
      Intervention with the screening tool of older persons potentially inappropriate prescriptions/screening tool to alert doctors to right treatment criteria in elderly residents of a chronic geriatric facility: A randomized clinical trial.
      Guidelines on the treatment of psychosis symptoms recommend nonpharmacological measures as the first-line approach and highlight the importance of treating possible underlying causes.
      • Kales H.C.
      • Gitlin L.N.
      • Lyketsos C.G.
      Management of neuropsychiatric symptoms of dementia in clinical settings: Recommendations from a multidisciplinary expert panel.
      ,
      Helsedirektoratet
      Nasjonal faglig retningslinje om demens.
      Previous studies have found that other NPSs, such as agitation, can benefit from nonpharmacological measures; however, the effect on psychosis symptoms is uncertain.
      • Testad I.
      • Corbett A.
      • Aarsland D.
      • et al.
      The value of personalized psychosocial interventions to address behavioral and psychological symptoms in people with dementia living in care home settings: A systematic review.
      If nonpharmacological measures are insufficient, treatment with antipsychotics is recommended in the acute phase for a limited time.
      • Kales H.C.
      • Gitlin L.N.
      • Lyketsos C.G.
      Management of neuropsychiatric symptoms of dementia in clinical settings: Recommendations from a multidisciplinary expert panel.
      ,
      Helsedirektoratet
      Nasjonal faglig retningslinje om demens.
      Several studies, including a randomized placebo-controlled discontinuation trial of antipsychotic medication by Ballard et al.,
      • Ballard C.
      • Hanney M.L.
      • Theodoulou M.
      • et al.
      The dementia antipsychotic withdrawal trial (DART-AD): Long-term follow-up of a randomised placebo-controlled trial.
      have found that mortality increases and QoL is reduced in patients receiving antipsychotic medication.
      • Ito E.
      • Berge L.I.
      • Husebo B.S.
      • et al.
      The negative impact of psychotropic drug use on quality of life in nursing home patients at different stages of dementia: Cross-sectional analyses from the COSMOS Trial.
      Systematic assessment and treatment of pain have the possibility to benefit more than pain.
      • Husebo B.S.
      • Ballard C.
      • Sandvik R.
      • et al.
      Efficacy of treating pain to reduce behavioural disturbances in residents of nursing homes with dementia: Cluster randomised clinical trial.
      • Husebo B.S.
      • Ballard C.
      • Fritze F.
      • et al.
      Efficacy of pain treatment on mood syndrome in patients with dementia: A randomized clinical trial.
      • Habiger T.F.
      • Flo E.
      • Achterberg W.P.
      • et al.
      The interactive relationship between pain, psychosis, and agitation in people with dementia: Results from a cluster-randomised clinical trial.
      Husebo et al.
      • Husebo B.S.
      • Ballard C.
      • Sandvik R.
      • et al.
      Efficacy of treating pain to reduce behavioural disturbances in residents of nursing homes with dementia: Cluster randomised clinical trial.
      investigated the effect of systematic pain treatment on agitation in people with dementia, where agitation was reduced in response to pain treatment. Secondary analyses from the same study also show positive effects on mood symptoms as well as psychosis symptoms.
      • Husebo B.S.
      • Ballard C.
      • Fritze F.
      • et al.
      Efficacy of pain treatment on mood syndrome in patients with dementia: A randomized clinical trial.
      ,
      • Habiger T.F.
      • Flo E.
      • Achterberg W.P.
      • et al.
      The interactive relationship between pain, psychosis, and agitation in people with dementia: Results from a cluster-randomised clinical trial.
      The COSMOS trial was designed to improve the QoL of NH patients through better COmmunication, Systematic assessment and treatment of pain, Medication review, Organization of activities and Safety, thus the acronym COSMOS.
      • Husebo B.S.
      • Ballard C.
      • Aarsland D.
      • et al.
      The effect of a multicomponent intervention on quality of life in residents of nursing homes: A randomized controlled trial (COSMOS).
      ,
      • Husebo B.S.
      • Flo E.
      • Aarsland D.
      • et al.
      COSMOS-improving the quality of life in nursing home patients: Protocol for an effectiveness-implementation cluster randomized clinical hybrid trial.
      As the intervention included elements that previous studies have found to improve both pain and psychosis symptoms, we aimed to analyze whether the multicomponent intervention could improve pain and psychosis symptoms in people with and without dementia. We hypothesized that the intervention would have a positive effect on both pain and psychosis symptoms. We also wanted to determine if the use of analgesics changed in response to the intervention, as well as the characteristics, such as QoL, of patients with pain using analgesics.
      Further, baseline data from the COSMOS study found an association between pain and psychosis symptoms
      • Habiger T.F.
      • Achterberg W.P.
      • Flo E.
      • et al.
      Psychosis symptoms in nursing home residents with and without dementia-Cross-sectional analyses from the COSMOS study.
      ; we aimed to investigate if this association persisted over time by analyzing the control group patients who received their usual care.

      Methods

      This study was based on secondary analyses from the COSMOS trial. The study was a multicenter cluster-randomized, single blinded controlled trial performed from 2014 to 2015, aimed at improving patients’ QoL through the implementation of a multicomponent intervention. The study enrolled 723 patients from 33 NHs and 67 different NH units in Norway. The entire study protocol and a description of the COSMOS intervention have previously been published in full elsewhere,
      • Husebo B.S.
      • Ballard C.
      • Aarsland D.
      • et al.
      The effect of a multicomponent intervention on quality of life in residents of nursing homes: A randomized controlled trial (COSMOS).
      ,
      • Husebo B.S.
      • Flo E.
      • Aarsland D.
      • et al.
      COSMOS-improving the quality of life in nursing home patients: Protocol for an effectiveness-implementation cluster randomized clinical hybrid trial.
      hence a summary is presented.

      Inclusion and Exclusion Criteria

      Patients ≥65 years who had stayed at the NH for at least 2 weeks were included. Patients with a <6 months’ life expectancy were excluded from the study.

      Randomization and Intervention

      Each NH unit was defined as a cluster and randomized to receive either the COSMOS intervention or care as usual. The COSMOS intervention components were based on current state-of-the-art evidence,
      • Corbett A.
      • Husebo B.
      • Malcangio M.
      • et al.
      Assessment and treatment of pain in people with dementia.
      ,
      • Testad I.
      • Corbett A.
      • Aarsland D.
      • et al.
      The value of personalized psychosocial interventions to address behavioral and psychological symptoms in people with dementia living in care home settings: A systematic review.
      ,
      • Flo E.
      • Husebo B.S.
      • Bruusgaard P.
      • et al.
      A review of the implementation and research strategies of advance care planning in nursing homes.
      • Husebo B.S.
      • Achterberg W.
      • Flo E.
      Identifying and managing pain in people with Alzheimer’s disease and other types of dementia: A systematic review.
      • Ballard C.
      • Howard R.
      Neuroleptic drugs in dementia: Benefits and harm.
      and was implemented through a 2-day education seminar for NH staff, as well as a medication review for all units during the intervention period. All NHs participated with at least 2 staff members who were put in charge of implementing the COSMOS intervention at their respective NH units. The intervention period lasted for 4 months, with a follow-up at month 9. Data collection was performed at baseline, month 4, and month 9. All assessments were performed by NH staff who knew the patient well.

      Outcome Measures

      Pain was assessed using the Mobilization-Observation-Behavior-Intensity-Dementia-2 (MOBID-2) Pain Scale. The scale has been thoroughly tested for validity, reliability, and responsiveness.
      • Husebo B.S.
      • Strand L.I.
      • Moe-Nilssen R.
      • et al.
      Mobilization-Observation-Behavior-Intensity-Dementia Pain Scale (MOBID): Development and validation of a nurse-administered pain assessment tool for use in dementia.
      ,
      • Husebo B.S.
      • Ostelo R.
      • Strand L.I.
      The MOBID-2 pain scale: Reliability and responsiveness to pain in patients with dementia.
      MOBID-2 consists of 2 parts, where part 1 assesses musculoskeletal pain through 5 actively guided movements during which the raters are encouraged to look for pain behavior. Part 2 consist of 5 items and assesses pain coming from head, skin, and internal organs. For each item, raters assess the patients' pain on a Numerical Rating Scale (NRS) from 0 to 10, where 0 represents no pain and 10 represents the worst pain possible. Finally, raters take all assessments into account and rate the patient's total pain score on an NRS from 0 to 10. A total pain score ≥3 is viewed as clinically significant pain.
      Psychosis symptoms were measured using the Neuropsychiatric Inventory–Nursing Home Version (NPI-NH).
      • Selbaek G.
      • Kirkevold O.
      • Sommer O.H.
      • et al.
      The reliability and validity of the Norwegian version of the Neuropsychiatric Inventory, nursing home version (NPI-NH).
      The NPI-NH measures the frequency and severity of 12 different NPSs (eg, agitation, delusion, and depression in the last week before assessment). Frequency (F) is measured on a scale from 0 to 4, where 0 represents not present, and 4 represents present daily. Severity (S) is measured on a scale from 1 to 3, where 1 represents mild symptom severity and 3 represents a severe symptom with high stress on the patient. The scores for frequency and severity are multiplied to generate a score for each symptom ranging from 0 to 12. A score ≥4 is considered a clinically significant symptom.
      • Margallo-Lana M.
      • Swann A.
      • O'Brien J.
      • et al.
      Prevalence and pharmacological management of behavioural and psychological symptoms amongst dementia sufferers living in care environments.
      Previous factor analyses of NPS have found different symptom clusters, among others the psychosis symptom cluster, which consists of delusion and hallucinations.
      • Cheng S.T.
      • Kwok T.
      • Lam L.C.
      Neuropsychiatric symptom clusters of Alzheimer's disease in Hong Kong Chinese: Prevalence and confirmatory factor analysis of the Neuropsychiatric Inventory.
      ,
      • Selbaek G.
      • Engedal K.
      Stability of the factor structure of the Neuropsychiatric Inventory in a 31-month follow-up study of a large sample of nursing-home patients with dementia.
      Other secondary outcome measures include the Cornell Scale for Depression in Dementia (CSDD),
      • Alexopoulos G.S.
      • Abrams R.C.
      • Young R.C.
      • et al.
      Cornell scale for depression in dementia.
      and the Quality of Life in late-stage Dementia (QUALID).
      • Weiner M.F.
      • Martin-Cook K.
      • Svetlik D.A.
      • et al.
      The quality of life in late-stage dementia (QUALID) scale.
      Information concerning medication and diagnoses were obtained from the patients’ medical records. Analgesics were defined as the group N02 in the Anatomical Therapeutic Chemical (ATC) classification system, which was further subdivided into opioid analgesics (N02A) and nonopioid analgesics (N02B and N02C). In addition, cognitive function was assessed using the Mini Mental State Examination (MMSE).
      • Folstein M.F.
      • Folstein S.E.
      • McHugh P.R.
      “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician.

      Statistics

      Analyses were performed by TFH in collaboration with a statistician (JM). The intervention effect on pain and psychosis were analyzed using Multilevel Mixed-Effect Linear Regression, with random intercept for clusters and time as a categorical variable. The association between pain and psychosis over time in the control group was investigated using Multilevel Mixed-Effect Logistic regression with maximum likelihood estimation and random intercept for clusters. A clinically significant symptom of psychosis, representing the presence of 1 or more symptoms of psychosis, was defined as the dependent variable, and a clinically significant MOBID-2 score (≥3) was established as an independent variable. The same analysis was conducted for the individual symptoms of psychosis. Associations were adjusted for the effect of time, defined as a categorical variable, age, dementia severity, and use of opioids. Model fit was evaluated using Akaikes Information criterion.
      • Bozdogan H.
      Akaike's information criterion and recent developments in information complexity.

      Ethics

      Information about the COSMOS study and its implications was provided for all patients. Consent was obtained in written and verbal form from patients with the cognitive ability to provide it. For patients lacking this ability, presumed consent was obtained from the patients’ next of kin or legal guardian after explaining the study procedure. The trial was approved by the Regional Committee for Medical and Health Research Ethics, West Norway (REK 2013/1765) and registered at clinicaltrials.gov (NCT02238652).

      Results

      A total of 723 patients were enrolled; 178 were excluded, leaving 545 patients to be included in the study. A total of 297 patients were randomized to the intervention group, with 248 allocated to the control group. A total of 73.8% of patients were women, with an average age of 86.7 years (Table 1).
      Table 1Baseline Characteristics
      ItemControl (n = 248)Intervention (n = 297)P ValueTotal (n = 545)
      Women (%)186 (75.0)216 (72.7).548402 (73.8)
      Age (SD)87.0 (7.2)86.5 (7.7).40586.7 (7.5)
      Weight in kg (SD)63.4 (14.3)64.5 (14.1).38864.0 (14.2)
      Height in m (SD)1.64 (0.09)1.63 (0.09).2881.64 (0.09)
      Dementia diagnosis (%)155 (62.5)196 (66.0).396351 (64.4)
      MMSE (SD)11.4 (7.9)10.4 (7.6).17210.8 (7.8)
      FAST (SD)5.5 (1.4)5.6 (1.4).1875.6 (1.4)
      ADL total (SD)16.9 (5.5)17.7 (5.2).09917.4 (5.3)
      Regular drugs (SD)7.8 (3.8)8.0 (3.8).4667.9 (3.8)
      CMAI total (SD)42.6 (15.5)42.0 (15.1).72942.3 (15.3)
      NPI-total score (SD)17.9 (21.1)17.5 (19.5).73717.7 (20.2)
      Psychosis cluster (SD)2.9 (5.5)2.3 (4.4).2132.6 (4.9)
      Delusion (%)48 (21.0)46 (16.0).14994 (18.2)
      Hallucinations (%)24 (10.2)23 (8.1).39647 (9.0)
      Agitation/Aggression (%)54 (22.5)71 (24.6).577125 (23.6)
      Depression (%)46 (19.7)79 (27.7).033125 (24.1)
      Anxiety (%)58 (24.5)66 (23.2).725124 (23.8)
      Euphoria (%)10 (4.2)10 (3.4).63920 (3.8)
      Apathy (%)28 (11.8)50 (17.4).07578 (14.9)
      Disinhibition (%)37 (15.5)50 (17.2).59987 (16.4)
      Irritability (%)77 (32.1)91 (31.4).862168 (31.7)
      Aberrant motor behavior (%)32 (13.3)29 (10.0).23361 (11.5)
      Nighttime disturbance (%)44 (18.3)63 (21.6).331107 (20.1)
      Appetite disturbance (%)20 (8.5)26 (9.1).81846 (8.9)
      Cornell total score (SD)7.5 (6.6)6.8 (5.7).4847.1 (6.1)
      MOBID-2 total score (SD)2.8 (2.8)2.3 (2.4).1062.5 (2.6)
      Analgesic drugs (%)156 (62.9)165 (55.6).083321 (58.9)
      Opioids (%)78 (31.5)89 (30.0).708167 (30.6)
      Psychotropic drugs (%)
      N05A, N05B, N05C, N06A, N06D in the ATC-register.
      177 (71.4)209 (70.4).903386 (70.8)
      Antipsychotics (%)30 (12.1)48 (16.2).17778 (14.3)
      Anxiolytics (%)58 (23.4)56 (18.9).195114 (20.9)
      Hypnotics And Sedatives (%)79 (31.9)82 (27.6).279161 (29.5)
      Antidementia drugs (%)38 (15.6)44 (15.2).89882 (15.4)
      Antidepressants (%)99 (40.6)119 (41.0).914218 (40.8)
      ADL, Activities of Daily Living; CMAI, Cohen Mansfield Agitation Inventory; FAST, Functional Assessment Staging.
      N05A, N05B, N05C, N06A, N06D in the ATC-register.
      There was no significant intervention effect on the total score of the MOBID-2 Pain Scale from baseline to month 9 (β −0.23; 95% confidence interval [CI] −0.88 to 0.42; P = .49) (Table 2). A significant positive intervention effect was found for MOBID-2 part 1 for people with dementia from baseline to month 9 (β −0.45; 95% CI –0.90 to −0.01; P = .047), but not for MOBID-2 part 2 (Figure 1). The number of patients using opioids increased nonsignificantly from baseline to month 9 in both groups, from 31.5% to 38.0% in the control group (odds ratio [OR] 1.31; P = .20) and from 30% to 35% in the intervention group (OR 1.26; P = .27). There was no significant intervention effect on the use of opioid analgesics (OR 0.95; 95% CI 0.53–1.70; P = .86).
      Table 2Effect of Intervention Compared With Control on Pain and Psychosis Symptoms
      Analyzed using Multilevel Mixed-Effect Linear Regression.
      ItemTotal Population
      Baseline to Month 4Baseline to Month 9
      β-coefficient95% CIP Valueβ-coefficient95% CIP Value
      MOBID-2 total score−0.11−0.74 to 0.53.740−0.23−0.88 to 0.42.490
      MOBID-2 part 1−0.07−0.50 to 0.35.734−0.40−0.84 to 0.05.079
      MOBID-2 part 2−0.12−0.40 to 0.15.369−0.02−0.30 to 0.26.885
      Psychosis cluster-total−0.19−1.29 to 0.91.7360.23−0.92 to 1.37.696
      Delusion−0.06−0.80 to 0.68.8720.19−0.57 to 0.96.619
      Hallucinations−0.06−0.63 to 0.50.8230.01−0.58 to 0.59.979
      Patients With dementia
      MOBID-2 total score−0.14−0.80 to 0.51.668−0.23−0.89 to 0.43.495
      MOBID-2 part 1−0.13−0.57 to 0.30.545−0.45−0.90 − −0.01.047
      MOBID-2 part 2−0.11−0.39 to 0.16.421−0.09−0.37 to 0.19.531
      Psychosis cluster-total−0.23−1.39 to 0.92.6940.28−0.91 to 1.48.646
      Delusion0.07−0.71 to 0.85.8520.41−0.40 to 1.22.326
      Hallucinations−0.24−0.83 to 0.35.419−0.18−0.79 to 0.43.567
      Note: Bold values are statistically significant (P <.05).
      Analyzed using Multilevel Mixed-Effect Linear Regression.
      Figure thumbnail gr1
      Fig. 1Progression of pain scores (MOBID-2) in people with dementia. MOBID-2 part 1: Musculoskeletal pain (Significant invention effect), MOBID-2 part 2: Pain from internal organs, head, and skin.
      The number of people with pain in the intervention group who did not use analgesics decreased from 24.3% to 19.4% from baseline to month 4, and remained stable at month 9 (Table 3). The number of people in the control group with a MOBID-2 score ≥3 who did not use analgesics steadily increased from baseline (19.1%) to month 9 (26.3%) (Table 3). The difference between the control and intervention groups, and changes within groups were not significant at either time point (Table 3). Patients in the intervention group with a MOBID-2 score ≥3 who used analgesics experienced more NPS (F 5.7; P = .001) compared with patients with a MOBID-2 score <3 at baseline and month 4 (Table 4). In the control group, the same was found at month 9 (F: 4.5; P = .005), but no such difference was observed at baseline and month 4 (Table 4). Patients with a MOBID-2 score ≥3 using analgesics had lower QoL than other patients at all time-points in both the control and intervention groups (Table 4).
      Table 3Use of Analgesics in People With and Without Clinically Significant Pain (MOBID-2 ≥3)
      Baseline (χ2 Control vs. Intervention: χ2 = 4.08, P = .253)
      Control (n = 202)Intervention (n = 251)
      MOBID-2 ≥3MOBID2 <3MOBID-2 ≥3MOBID2 <3
      Uses analgesics (% of pain group)76 (80.9)57 (52.8)78 (75.7)65 (43.9)
      No analgesics (% of pain group)18 (19.1)51 (47.2)25 (24.3)83 (56.1)
      Month 4 (χ2 Control vs. Intervention: χ2 = 5.19, P = .158)
      Control (n = 185)Intervention (n = 208)
      MOBID-2 ≥3MOBID2 <3MOBID-2 ≥3MOBID2 <3
      Uses analgesics (% of pain group)64 (77.1)51 (50.0)58 (80.6)61 (44.9)
      No analgesics (% of pain group)19 (22.9)51 (50.0)14 (19.4)75 (55.1)
      Month 9 (χ2 Control vs. Intervention: χ2 = 4.20, P = .241)
      Control (n = 174)Intervention (n = 184)
      MOBID-2 ≥3MOBID2 <3MOBID-2 ≥3MOBID2 <3
      Uses analgesics (% of pain group)56 (73.7)49 (50.0)51 (79.7)54 (45.0)
      No analgesics (% of pain group)20 (26.3)49 (50.0)13 (20.3)66 (55.0)
      Table 4Characteristics of Different Pain-Analgesics Groups
      Item – Mean (SD)No Pain No AnalgesicsNo Pain Using AnalgesicsPain No AnalgesicsPain Using AnalgesicsP Value
      One-way analysis of variance (with Bonferroni correction for multiple tests).
      Baseline
      Control
      NPI-Total score14.8 (16.8)12.0 (16.5)10.5 (13.1)20.0 (24.4).121
      NPI-Psychosis score2.6 (4.6)1.4 (3.5)1.4 (3.1)3.4 (6.0).107
      Cornell score5.4 (5.6)4.8 (4.4)8.4 (5.6)9.6 (7.5)
      Significantly different from the No Pain – No Analgesics group.
      Significantly different from the No Pain – Using Analgesics group.
      <.001
      MMSE total11.0 (8.4)11.5 (7.9)13.0 (8.7)12.4 (7.7).720
      QUALID total18.1 (5.5)20.0 (6.6)19.7 (7.1)24.4 (8.2)
      Significantly different from the No Pain – No Analgesics group.
      Significantly different from the No Pain – Using Analgesics group.
      <.001
      Intervention
      NPI-Total score11.9 (14.5)16.3 (19.3)17.2 (17.3)25.2 (23.9)
      Significantly different from the No Pain – No Analgesics group.
      .001
      NPI-Psychosis score1.1 (2.7)1.4 (3.6)2.3 (5.4)4.2 (5.7)
      Significantly different from the No Pain – No Analgesics group.
      Significantly different from the No Pain – Using Analgesics group.
      <.001
      Cornell score4.5 (4.1)7.4 (6.4)6.5 (5.5)8.7 (6.2)
      Significantly different from the No Pain – No Analgesics group.
      .001
      MMSE total10.1 (7.0)10.6 (7.8)10.6 (6.6)9.7 (7.9).902
      QUALID total19.3 (5.5)20.2 (7.2)20.4 (7.9)24.6 (7.8)
      Significantly different from the No Pain – No Analgesics group.
      Significantly different from the No Pain – Using Analgesics group.
      <.001
      Month 4
      Control
      NPI-Total score12.5 (16.6)9.7 (15.0)18.4 (20.3)16.9 (17.7).126
      NPI-Psychosis score2.0 (3.6)1.8 (3.9)2.4 (5.3)3.3 (5.1).313
      Cornell score5.9 (5.8)5.9 (5.9)7.2 (4.5)8.1 (6.3).237
      MMSE total12.7 (8.1)12.3 (7.2)11.4 (7.8)9.8 (8.2).270
      QUALID total18.6 (5.5)19.9 (6.2)20.6 (6.9)23.4 (7.6)
      Significantly different from the No Pain – No Analgesics group.
      Significantly different from the No Pain – Using Analgesics group.
      .001
      Intervention
      NPI-Total score6.2 (6.9)10.7 (13.2)13.2 (9.5)16.5 (18.9)
      Significantly different from the No Pain – No Analgesics group.
      .001
      NPI-Psychosis score0.7 (1.7)0.9 (1.8)3.5 (6.7)
      Significantly different from the No Pain – No Analgesics group.
      Significantly different from the No Pain – Using Analgesics group.
      2.3 (4.2)
      Significantly different from the No Pain – No Analgesics group.
      .002
      Cornell score4.9 (5.3)6.9 (5.0)8.0 (6.1)
      Significantly different from the No Pain – No Analgesics group.
      8.8 (6.5)
      Significantly different from the No Pain – No Analgesics group.
      .014
      MMSE total10.5 (6.3)11.3 (9.0)10.9 (6.7)10.8 (7.8).958
      QUALID total18.9 (6.0)20.6 (7.1)25.4 (7.5)24.3 (8.6)
      Significantly different from the No Pain – No Analgesics group.
      Significantly different from the No Pain – Using Analgesics group.
      <.001
      Month 9
      Control
      NPI-Total score14.6 (20.4)8.9 (12.3)23.3 (24.4)22.3 (22.3)
      Significantly different from the No Pain – Using Analgesics group.
      .005
      NPI-Psychosis score2.6 (4.9)1.2 (2.6)2.8 (6.1)3.9 (5.2).032
      Cornell score5.4 (5.7)5.1 (4.3)7.9 (6.1)10.1 (7.6)
      Significantly different from the No Pain – No Analgesics group.
      Significantly different from the No Pain – Using Analgesics group.
      <.001
      MMSE total12.0 (7.0)11.5 (7.8)11.2 (10.4)10.3 (8.3).764
      QUALID total17.9 (5.3)20.2 (6.2)22.2 (7.4)24.7 (8.5)
      Significantly different from the No Pain – No Analgesics group.
      Significantly different from the No Pain – Using Analgesics group.
      <.001
      Intervention
      NPI-Total score12.8 (19.2)15.1 (16.6)10.3 (7.3)19.0 (21.6).321
      NPI-Psychosis score1.9 (4.7)1.9 (3.2)0.5 (1.7)2.5 (4.6).529
      Cornell score5.0 (3.7)6.7 (4.9)5.7 (5.6)9.0 (6.7)
      Significantly different from the No Pain – No Analgesics group.
      .009
      MMSE total10.5 (6.6)9.4 (7.5)11.7 (8.5)8.7 (7.8).499
      QUALID total20.4 (7.3)21.1 (6.4)19.1 (4.7)24.6 (8.9)
      Significantly different from the No Pain – No Analgesics group.
      .011
      One-way analysis of variance (with Bonferroni correction for multiple tests).
      Significantly different from the No Pain – No Analgesics group.
      Significantly different from the No Pain – Using Analgesics group.
      Pain and psychosis symptoms as a group (OR 2.03; 95% CI 1.19–3.45; P = .009), and delusion individually (OR 2.12; 95% CI 1.23–3.63; P = .007) were significantly associated over time. There was no significant association between pain and hallucinations (OR 1.47; 95% CI 0.66–3.29; P = .35). Patients who used antipsychotic medication were more likely to experience pain than patients not using antipsychotic medication (OR 1.78; 95% CI 1.02–3.10; P = .043). There was no significant intervention effect on psychosis symptoms – either as a cluster (β 0.23; 95% CI −0.92 to 1.37; P = .70) or for the individual symptoms delusion and hallucinations (Table 2).

      Discussion

      Pain was significantly associated with psychosis symptoms, and delusion over time, but not with hallucinations. This is important for clinicians, as it suggests that a thorough pain assessment is essential before making treatment decisions concerning psychosis symptoms. This is to our knowledge the first study to investigate the relationship between pain and psychosis symptoms over time. The COSMOS intervention had a positive effect on musculoskeletal pain in people with dementia, highlighting the importance of a thorough pain assessment and treatment strategy in NHs.
      The total MOBID-2 pain score was not reduced in response to the COSMOS intervention. Musculoskeletal pain was, however, reduced in people with dementia. The reason that musculoskeletal pain was reduced in people with dementia in the intervention group compared with the control group, and not for the total population, can be explained by the ability of the MOBID-2 pain scale to detect pain in people with dementia. Patients without cognitive impairment are able to report their own pain and the effect of pain treatment, or lack thereof, which assists the physician's decision making.
      • Corbett A.
      • Husebo B.
      • Malcangio M.
      • et al.
      Assessment and treatment of pain in people with dementia.
      The assessment of musculoskeletal pain can also be more straightforward compared with the assessment of pain from the internal organs, head, and skin, as musculoskeletal pain can be provoked by active movements, as in part 1 of the MOBID-2 Pain Scale. Our findings are partly in line with a previous study by Sandvik and colleagues,
      • Sandvik R.K.
      • Selbaek G.
      • Seifert R.
      • et al.
      Impact of a stepwise protocol for treating pain on pain intensity in nursing home patients with dementia: A cluster randomized trial.
      who found that a Stepwise Protocol for Treating pain reduced pain in NH patients with dementia and behavioral disturbances. However, in contrast to our study, this study focused primarily on the treatment of pain and found an intervention effect on the total pain score, not only on musculoskeletal pain.
      • Sandvik R.K.
      • Selbaek G.
      • Seifert R.
      • et al.
      Impact of a stepwise protocol for treating pain on pain intensity in nursing home patients with dementia: A cluster randomized trial.
      In the COSMOS study, no significant intervention effect on pain was found, although the number of patients with pain increased over time in the control group and decreased in the intervention group. This may suggest that the intervention group could have benefited from the COSMOS intervention to a certain degree.
      The use of analgesics was high in both groups, especially the number of patients using opioids on a regular basis, which increased from 30% to >35% from baseline to month 9 in both the control group and intervention group. A previous study found a rise in the use of opioids in Norwegian NHs from 2000 to 2011, from 1.9% to 17.9%.
      • Sandvik R.
      • Selbaek G.
      • Kirkevold O.
      • et al.
      Analgesic prescribing patterns in Norwegian nursing homes from 2000 to 2011: Trend analyses of four data samples.
      Our findings suggest that this trend has continued, which is particularly worrisome considering the possible side effects from long-term opioid use and risk of polypharmacy in people with dementia.
      • Erdal A.
      • Ballard C.
      • Vahia I.V.
      • et al.
      Analgesic treatments in people with dementia - how safe are they? A systematic review.
      ,
      • Husebo B.S.
      • Kerns R.D.
      • Han L.
      • et al.
      Pain, complex chronic conditions and potential inappropriate medication in people with dementia. Lessons learnt for pain treatment plans utilizing data from the Veteran Health Administration.
      A recent study by Erdal et al.
      • Erdal A.
      • Flo E.
      • Aarsland D.
      • et al.
      Tolerability of buprenorphine transdermal system in nursing home patients with advanced dementia: A randomized, placebo-controlled trial (DEP.PAIN.DEM).
      investigating the effect of analgesic treatment on depression in NH patients with dementia found that patients being prescribed a buprenorphine transdermal patch had a significantly higher chance of dropping out of the study due to adverse events. This highlights the importance of being thorough in evaluating the risk of possible side effects in patients, before and during the prescription of an opioid analgesic.
      When investigating the characteristics of patients with and without pain using and not using analgesics, we observed that patients with pain who used analgesics had lower QoL and more NPS than other patients. This supports previous studies, which have found pain to be associated with NPS and poor QoL.
      • van Dalen-Kok A.H.
      • Pieper M.J.
      • de Waal M.W.
      • et al.
      Association between pain, neuropsychiatric symptoms, and physical function in dementia: A systematic review and meta-analysis.
      ,
      • van Dam P.H.
      • Caljouw M.A.A.
      • Slettebo D.D.
      • et al.
      Quality of life and pain medication use in persons with advanced dementia living in long-term care facilities.
      However, it was unexpected that no significant differences were found between patients' QoL scores concerning those with pain using analgesics and those with pain not using analgesics, as the aim with analgesic prescription is to reduce the patient's pain and improve their QoL. In future studies, this could be an important focus point when investigating the effect of long-term analgesic use in NH patients. If long-term use of opioid analgesics causes more harm through unwanted side effects than benefit, more focus on frequent reevaluation of long-term use of opioid analgesics is needed.
      As hypothesized, psychosis symptoms and pain were associated over time, as was the individual symptom delusion, but not hallucinations. This is in line with previous cross-sectional findings from the baseline data of the COSMOS study.
      • Habiger T.F.
      • Achterberg W.P.
      • Flo E.
      • et al.
      Psychosis symptoms in nursing home residents with and without dementia-Cross-sectional analyses from the COSMOS study.
      Previous studies have found a cross-sectional association between pain and delusion, such as Tosato et al.,
      • Tosato M.
      • Lukas A.
      • van der Roest H.G.
      • et al.
      Association of pain with behavioral and psychiatric symptoms among nursing home residents with cognitive impairment: results from the SHELTER study.
      who found a relationship between pain and delusion in 2822 NH patients with dementia from 8 countries. As this is the first study that investigates the longitudinal relationship between pain and psychosis symptoms, our finding adds important knowledge regarding psychosis symptoms in NH patients. If psychosis symptoms, and especially delusion, are associated with pain, then a thorough assessment of pain should be a prerequisite when deciding on treatment options for psychosis symptoms, and aid in reducing the use of psychotropic medication to those who benefit the most from them. This is further highlighted by our finding that use of antipsychotic medication was associated with pain. If psychosis symptoms are triggered by underlying pain, then treatment of the underlying factor would be preferred rather than treating only the overt symptoms.
      In contrast to our hypothesis, no significant intervention effect on psychosis symptoms was found. This diverges from a previous study from 2016, where systematic pain assessment and treatment in 352 patients with dementia and behavioral disturbances reduced psychosis symptoms.
      • Habiger T.F.
      • Flo E.
      • Achterberg W.P.
      • et al.
      The interactive relationship between pain, psychosis, and agitation in people with dementia: Results from a cluster-randomised clinical trial.
      It is important to keep in mind that only 94 (18%) patients in the COSMOS study experienced at least 1 psychosis symptom at baseline,
      • Habiger T.F.
      • Achterberg W.P.
      • Flo E.
      • et al.
      Psychosis symptoms in nursing home residents with and without dementia-Cross-sectional analyses from the COSMOS study.
      limiting the potential to discover an intervention effect. The 2 studies also differ regarding the type of intervention. Where the 2016 study only focused on systematic pain assessment and treatment, this was only 1 part of the COSMOS trial, which includes components with the ability to reduce psychosis symptoms, such as organization of activities and medication review. Despite this, psychosis symptoms were not reduced, which underlines the complexity in treating psychosis symptoms in NH patients and that there is no one-size-fits-all treatment. Guidelines state that nonpharmacological options should be the first-line treatment, but knowledge concerning the effect of such treatments is sparse and our study is one of few that investigates the effect of nonpharmacological options.

      Strengths and Limitations

      This is one of the largest multicomponent intervention studies performed in a NH setting, and it includes a broad NH population both with and without dementia. This increases the generalizability of our findings. There is also a strength in using the MOBID-2 Pain Scale, which has been thoroughly tested for reliability and responsiveness for change. A limitation is that the study was powered with respect to QoL and not for pain and psychosis symptoms. It is a limitation that we only had data on type of pharmacological pain treatment, not dosage, or if nonpharmacological measures had been taken. There was also no assessment concerning the type of psychosis, or if the psychosis symptoms were chronic or acute in nature. A limitation also lies in the lack of knowledge regarding the duration of current pain and pain treatment at baseline, which is important to consider when interpreting the results.

      Conclusions and Implications

      Pain, psychosis symptoms as a group, and delusion were significantly associated over time, highlighting the importance for clinicians to assess pain when making treatment decisions on psychosis symptoms. The COSMOS intervention had no significant effect on psychosis symptoms. The COSMOS intervention had a significant effect on musculoskeletal pain in patients with dementia, but not on the total pain score, which shows the need for systematic pain assessment and treatment in patients with dementia. The use of opioid analgesics increased in both groups and was not affected by the COSMOS intervention, which shows the importance of frequent reassessment of opioid prescriptions.

      Acknowledgments

      Tony Elvegaard, Christian Gulla, and Irene Aasmul took part in the data collection. TFH thanks the Medical Students Research Program and the University of Bergen for all their support. We also thank the Norwegian Ministry of Health and Care services, as well as the GC Rieber foundation for their financial support to the Center for Elderly and Nursing Home Medicine.

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