Hostname: page-component-848d4c4894-mwx4w Total loading time: 0 Render date: 2024-07-01T07:18:55.247Z Has data issue: false hasContentIssue false

Managing depressive symptoms in people with mild cognitive impairment and mild dementia with a multicomponent psychotherapy intervention: a randomized controlled trial

Published online by Cambridge University Press:  05 March 2020

Johanne B. Tonga*
Affiliation:
Department of Old Age Psychiatry, Oslo University Hospital, Gaustad, Postbox 4956, Nydalen, 0424Oslo, Norway Norwegian Health Association, Postbox 7139 Majorstuen, 0207Oslo, Norway Institute of Psychology, University of Oslo, Postbox 1094, Blindern, 0317Oslo, Norway
Jūratė Šaltytė Benth
Affiliation:
Institute of Clinical Medicine, Campus Ahus, University of Oslo, P.O.Box 1171, 0318Blindern, Norway Health Services Research Unit, Akershus University Hospital, Postbox 1000, 1478Lørenskog, Norway
Espen A. Arnevik
Affiliation:
Division of Mental Health and Addiction, Oslo University Hospital, Postbox 4956, Nydalen, 0424Oslo, Norway
Katja Werheid
Affiliation:
Clinical Neuropsychology, Department of Psychology, Humboldt-University, Berlin, Rudower Chaussee 18, 12489Berlin, Germany
Maria S. Korsnes
Affiliation:
Department of Old Age Psychiatry, Oslo University Hospital, Gaustad, Postbox 4956, Nydalen, 0424Oslo, Norway
Ingun D. Ulstein
Affiliation:
Department of Geriatric Medicine, Oslo University Hospital, Ullevål, Postbox 4956, Nydalen, 0424Oslo, Norway
*
Correspondence should be addressed to: Johanne Bjoernstad Tonga, Oslo University Hospital, Department of Old Age Psychiatry, Postbox 4956, Nydalen, 0424Oslo, Norway, Phone: +0047 23163000; Fax: +004723163002. Email: jotbjo@ous-hf.no.
Rights & Permissions [Opens in a new window]

Abstract

Objective:

To evaluate the feasibility and effectiveness of the CORDIAL program, a psychosocial intervention consisting of cognitive behavioral therapy (CBT), cognitive rehabilitation, and reminiscence to manage depressive symptoms for people with mild cognitive impairment (MCI) or dementia.

Design:

We conducted a randomized controlled trial, based on a two-group (intervention and control), pre-/post-intervention design.

Setting:

Participants were recruited from five different old age psychiatry and memory clinics at outpatients’ hospitals.

Participants:

Hundred and ninety-eight people with MCI or early-stage dementia were included.

Intervention:

The intervention group (n = 100) received 11 individual weekly sessions of the CORDIAL program. This intervention includes elements from CBT, cognitive rehabilitation, and reminiscence therapy. The control group (n = 98) received treatment-as-usual.

Measurements:

We assessed Montgomery–Åsberg Depression Rating Scale (MADRS) (main outcome), Neuropsychiatric Inventory Questionnaire, and Quality of Life in Alzheimer’s disease (secondary outcomes) over the course of 4 months and at a 10-month follow-up visit.

Results:

A linear mixed model demonstrated that the depressive symptoms assessed by MADRS were significantly more reduced in the intervention groups as compared to the control group (p < 0.001). The effect persisted for 6 months after the intervention. No significant differences between groups were found in neuropsychiatric symptoms or quality of life.

Conclusion:

Our multicomponent intervention, which comprised 11 individual sessions of CBT, cognitive rehabilitation, and reminiscence therapy, reduced depressive symptoms in people with MCI and dementia.

Type
Original Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© International Psychogeriatric Association 2020

Introduction

After a diagnosis of dementia, patients often report losing friends and feeling lonely, anxious, distressed, and depressed (Alzheimer’s Association, 2014; Harman and Clare, Reference Harman and Clare2006). Depression occurs in up to two-thirds of all patients (Enache et al., Reference Enache, Winblad and Aarsland2011). Research suggests that people with mild cognitive impairment (MCI) and dementia exhibit an increased risk for developing depression compared to people with normal cognitive function; at 4-year follow-up, 38% people with MCI and 43% with dementia reported depression, compared to 20% people with normal cognition (Snowden et al., Reference Snowden2015). Furthermore, research has shown that depressive symptoms substantially impacts the disease course, because it leads to reduced independence, increased risk of institutionalization, and a higher caregiver burden (Orgeta et al., Reference Orgeta, Qazi, Spector and Orrell2015). Therefore, psychosocial interventions designed to reduce depressive symptoms should support the patient in understanding the diagnosis and making positive adjustments (Lee et al., Reference Lee, Roen and Thornton2014).

Previous research on psychosocial treatments in people with MCI or dementia found that psychological interventions could effectively reduce depression (Orgeta et al., Reference Orgeta, Qazi, Spector and Orrell2015). Consistent with that finding, a meta-analysis of psychosocial interventions also found significant reductions of depressive symptoms with a medium effect size in residents of long-term care (Cody and Drysdale, Reference Cody and Drysdale2013). Specifically, cognitive behavioral therapy (CBT), which focuses on behavioral activity scheduling, significantly reduced depressive symptoms in people with dementia that lived at home (Teri et al., Reference Teri, Logsdon, Uomoto and Mccurry1997; Teri et al., Reference Teri, Mckenzie and Lafazia2005) or in a nursing home (Hyer et al., Reference Hyer, Yeager, Hilton and Sacks2009). Reminiscence therapy that involves reflecting on past activities, events, and experiences, typically elicited with prompts, like photographs or music, effectively improved cognitive function and mood in people with dementia (Cotelli et al., Reference Cotelli, Manenti and Zanetti2012). These findings were supported by a meta-analysis of randomized controlled trials, which demonstrated that reminiscence therapy had a small effect size on cognitive functions and a moderate effect size on depressive symptoms (Huang et al., Reference Huang2015). In contrast, two other studies failed to demonstrate positive findings with reminiscence therapy on cognition and mood (Wang, Reference Wang2007; Woods et al., Reference Woods2012). In addition, cognitive rehabilitation, which focuses on intact memory skills and learning compensatory strategies for managing memory problems, had a positive effect on mood and memory performance in people with MCI (Kurz et al., Reference Kurz, Pohl, Ramsenthaler and Sorg2009). Another cognitive rehabilitation intervention study found significant effects on goal attainment for people with dementia, but no differences between the intervention and control group were observed in mood, cognition, quality of life, or self-efficacy (Clare et al., Reference Clare2019). In addition, a large multicenter randomized controlled trial (ETNA3 study) compared three different interventions to treatment-as-usual for patients with Alzheimer’s disease; (1) group therapy of cognitive training, (2) group therapy of reminiscence, and (3) individualized cognitive rehabilitation. They found that only the individualized cognitive rehabilitation provided clinically significant results and recommend that interventions should be individualized to meet each patient’s needs.

Studies have also suggested that transferring intervention results to everyday life could be facilitated by involving caregivers, due to more frequent practicing between therapy sessions (Brodaty et al., Reference Brodaty, Green and Koschera2003; Clare et al., Reference Clare2010). Furthermore, because people with dementia constitute a heterogeneous group, broad interventions with multicomponent treatments are needed. A systematic review by Olazarán et al. (Reference Olazarán2010) found that multicomponent interventions were effective in improving mood and quality of life among people with dementia. They also found that multicomponent interventions that provided caregiver education and support delayed the institutionalization of people with dementia. Other multicomponent treatments, which included cognitive rehabilitation and cognitive behavioral group therapy for people with MCI, have found increased acceptance of their cognitive condition in the intervention group compared to the waiting-list control (Banningh et al., Reference Banningh, Prins, Vernooij-Dassen, Wijnen, Rikkert and Kessels2011).

The cognitive rehabilitation and cognitive behavioral treatment for early dementia (CORDIAL) program comprised CBT, reminiscence therapy, and cognitive rehabilitation. In a randomized controlled trial, called the CORDIAL study, this multicomponent intervention significantly reduced depressive symptoms among female participants, based on the Geriatric Depression Scale (GDS). However, they found no significant effect on activities of daily life (ADL) functions (Kurz et al., Reference Kurz2012). Later, the same group (Werheid et al., Reference Werheid, Köhncke, Ziegler and Kurz2015) reanalyzed the effects of the CORDIAL program on depressive symptoms with latent change score modeling. They demonstrated that the CORDIAL program reduced depressive symptoms by 1.5 points, on the GDS, and the effect remained stable, but it was restricted to females. Moreover, the program had a pronounced antidepressive effect in patients with clinically relevant depressive symptoms at baseline. Another study used the CORDIAL manual in a group setting and found a positive interaction effect on quality of life (Brueggen et al., Reference Brueggen2017). They found no effect on ADL functions and they did not assess depressive symptoms. Those authors suggested that ADL functions might be difficult to assess as a primary outcome, because dementia is a progressive disease.

To summarize, although psychosocial interventions have shown promise for people with dementia, there remains a need for more multicomponent, well-designed trials with adequate power and appropriate outcome measures (Olazarán et al., Reference Olazarán2010).

Purpose of the study

In the present randomized controlled trial, we examined the effects of a multicomponent treatment (the CORDIAL program) on depressive symptoms in people with MCIs and mild dementia, since previous research on the CORDIAL program had shown promising effects on depressive symptoms (Werheid et al., Reference Werheid, Köhncke, Ziegler and Kurz2015). We hypothesized that the CORDIAL program would significantly reduce depressive symptoms, assessed by Montgomery–Åsberg Depression Rating Scale (MADRS), compared to treatment-as-usual (control).

Methods

Trial design

This multicenter randomized controlled trial randomly allocated participants to receive either treatment-as-usual (n = 98) or the CORDIAL intervention (n = 100).

Participants

Eligible participants had to:

  • meet the Winblad criteria for MCI due to Alzheimer’s disease (Winblad et al., Reference Winblad2004); or criteria for dementia in Alzheimer’s disease according to the ICD-10 or the National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s Disease and Related Disorders Association (Dubois et al., Reference Dubois, Feldman, Jacova, Dekosky, Barberger-Gateau and Cummings2007);

  • be in the early stages of MCI or dementia, as indicated by a Mini Mental State Examination (MMSE) (Folstein et al., Reference Folstein, Folstein and McHugh1975) score of 20 or above;

  • reside at home;

  • be in weekly contact with a caregiver that was willing to participate, for example, a spouse, friend, sibling, or adult child;

  • informed consent from the participants and caregivers.

Individuals were excluded, when they:

  • lived outside the home, for example, a nursing home;

  • received ongoing psychotherapy;

  • had a severe psychiatric or somatic illness that could hinder study adherence.

  • Participants that were taking ongoing medication in stable doses were not excluded, due to ethical and practical considerations.

Settings and data collection methods

Participants were recruited from five old age psychiatry and memory clinics in Norway, from January 2013 to June 2017. All participants underwent a comprehensive assessment, including advanced cognitive testing, which followed a standard protocol (Brækhus et al., Reference Brækhus, Ulstein, Wyller and Engedal2011); brain MRI scans, for measuring the hippocampus; and spinal fluid tests, for determining tau and amyloid-ß protein levels. On MRI scans, the hippocampus was measured either by visual inspection (Scheltens et al., Reference Scheltens1992) or with volumetric calculations performed with Neuroquant software (Brewer et al., Reference Brewer, Magda, Airriess and Smith2009; Engedal et al., Reference Engedal, Brækhus, Andreassen and Nakstad2012). The final MCI or dementia diagnosis included the MRI findings and the tau and amyloid-ß protein results. Depression diagnosis was evaluated according to the ICD-10 criteria. Diagnoses were determined by reaching a consensus among experienced geriatricians, a psychiatrist, a neurologist, and in some cases, a neuropsychologist. Based on this comprehensive assessment, people with MCI or dementia that met the inclusion criteria were asked to participate, either verbally, in participating clinics, or through a letter, followed by a phone call.

Baseline assessments

All participants completed standardized baseline questionnaires. This covered background characteristics and structured measures of cognitive and psychiatric symptoms (which are detailed described under the subsection “Outcomes”). Next, they were allocated to the intervention or control group. Participants also completed assessments at the end of the RCT; 4 months after baseline and at the 6-month follow-up (10 months after baseline) (if they did not drop out). All standardized assessments were administered by educated health staff, nurses, psychologists, psychiatrist, occupational therapists, and master students in psychology. They were trained in performing cognitive testing and interviews, according to a written manual, and they received regular supervision.

If the patient fulfilled the criteria for depression according to ICD-10, the depression diagnosis was made. Also, participants were categorized into severity groups, based on the MADRS, where: 0–8 = no depression; 9–17 = mild depression; 18–34 = moderate depression; and ≥35 = severe depression (Mittmann et al., Reference Mittmann, Mitter, Borden, Herrmann, Naranjo and Shear1997; Müller et al., Reference Müller, Szegedi, Wetzel and Benkert2000).

Interventions

We based the intervention on that described in the German CORDIAL study (Kurz et al., Reference Kurz2012), but we adapted it to Norwegian culture, after conducting a pilot study (Tonga et al., Reference Tonga, Arnevik, Werheid and Ulstein2015; Reference Tonga, Karlsoeen, Arnevik, Werheid, Korsnes and Ulstein2016). The main modifications were: (1) participants completed 11 instead of 12 sessions; (2) depressive symptoms were treated before memory aids were given, because we assumed it would be easier to motivate patients to try memory aids and reminiscence work if they initially had learned some techniques about how to handle depressive symptoms; (3) electronic memory aids were used; (4) the pleasant activity schedule and life review assignments were modified to include more typically male activities, such as soccer, fishing; and (5) we shortened the caregiver psychoeducational information.

Inspired by cognitive therapy, the intervention included a clear agenda in every session, Socratic questioning, specific worksheets, homework in-between sessions, and psychoeducation about dementia (Beck, Reference Beck2011). Module 1 explained the intervention and explored the patient’s problem and treatment goals, consistent with classical cognitive therapy (Beck, Reference Beck2011). Module 2 focused on structuring the day and establishing regular pleasant activities to reduce depressive symptoms, similar to the approach of Teri et al. (Reference Teri, Logsdon, Uomoto and Mccurry1997). Modules 3 and 4 were inspired by Clare et al. (Reference Clare2010); they provided cognitive rehabilitation by building on existing memory skills, learning compensatory memory aids, and using behavioral routines to reduce the demand on memory. Module 5 was inspired by Woods et al. (Reference Woods, O’Philbin, Farrell, Spector and Orrell2018); it provided reminiscence therapy with biographical materials selected to increase the patient’s mood and well-being. The closing module, module 6, included a review of the program, an evaluation of individual goals, and suggestions for how to maintain the positive outcomes of therapy. An overview of the intervention is given in Figure 2.

Patients with MCI or dementia participated in all 11 sessions. All caregivers participated in every other session (six sessions). This approach aimed to aid the patient in transferring the newly learned strategies into everyday life and it provided information on MCI and dementia to the caregiver. Additionally, caregivers received letters that described the background and content of each module.

The therapists comprised nurses, psychiatrists, occupational therapists, and psychologists with training and experience in CBT. Therapists were instructed to adhere to the manual, but they were given flexibility in distributing the time between treatment modules and in tailoring the therapy to each patient’s needs. Also, all therapist received training in the CORDIAL intervention before the intervention started and did participate in regular supervision and workshops. The therapists self-rated treatment adherence after every session based on structured questions.

In the control group, treatment-as-usual was not standardized. Of the 98 people in the control group, 57% reported no follow-up assessments and the remaining 43% received various types of follow-up assessments (Table 1).

Table 1. Overview of treatment-as-usual (N = 85)

Note. Treatment-as-usual was only reported by the 85 participants that completed the 4-month post-treatment assessment. Thus, 13 participants were lost to follow-up

Abbreviations: CBT, cognitive behavioral therapy; ACT, acceptance and commitment therapy.

Outcomes

Background variables

We recorded the age, gender, kinship, work situation, years of schooling, and hobbies for people with dementia and caregivers. In addition, we recorded the duration of symptoms, current medications, and formal treatments, measured with the Resource Utilization in Dementia Questionnaire – Lite version (Wimo and Winblad, Reference Wimo and Winblad2003). We recorded changes in medication and major life events at the 4- and 10-month assessments.

Cognitive function was assessed by trained health staff, with the Norwegian version of the Mini Mental State Examination (MMSE-NR) (Strobel and Engedal, Reference Strobel and Engedal2008). This instrument is commonly used as a screening tool for dementia and it covers different cognitive domains. Previously, Folstein et al. (Reference Folstein, Folstein and McHugh1975) examined the reliability and validity of the MMSE and they reported a Cronbach’s alpha of 0.89. In addition, the ability to perform ADL was proxy-rated by their caregiver with the Instrumental Activities of Daily Living Scale (I-ADL) (Lawton and Brody, Reference Lawton and Brody1969), which measures everyday independent activities, such as cooking, cleaning, and managing finances. The score ranges from 1 (independent) to 5 (totally dependent), with a maximum total score of 31. Previous studies reported Cronbach’s alphas for the I-ADL that ranged from 0.78 to 0.91 (Sikkes et al. Reference Sikkes, de Lange-de Klerk, Pijnenburg and Scheltens2009).

Patient variables

Depressive symptoms were measured with the MADRS (Montgomery and Åsberg, Reference Montgomery and Åsberg1979), administered by professional health staff, and was the primary outcome of the study. The MADRS comprises 10 items that cover the most common depressive symptoms reported by patients, including sadness, inner tension, reduced sleep, and suicidal thoughts. Responses were scored based on the clinical judgment of the severity by the interviewer on a scale ranging from 0 to 6, with a maximum total score of 60. Fantino and Moore (Reference Fantino and Moore2009) reported a Cronbach’s alpha of 0.84 for the MADRS. The questionnaire has been validated in people with dementia and is considered a consistent tool for detecting depression in dementia independently of the severity of the dementia disease (Müller-Thomsen et al. Reference Müller-Thomsen, Arlt, Mann, Maß and Ganzer2005).

Neuropsychiatric symptoms were proxy-rated by caregivers with the short form of the Neuropsychiatric Inventory Questionnaire (NPI-Q) (Kaufer et al., Reference Kaufer2000). The questionnaire consisted of 12 items that covered several symptoms, including apathy, aggression, anxiety, depression, hallucinations, and sleeping difficulty. It also included a severity sum score that ranged from 0 to 36, where a higher score indicated more severe symptoms. The NPI-Q has been translated into Norwegian (Årsland & Dramsdahl) and it was reliability-tested and validated in patients living in a nursing home (Selbaek et al., Reference Selbaek, Kirkevold, Sommer and Engedal2008).

At the 4-month assessment, people with dementia self-reported responses to the question: “Overall, how are you coping with everyday life after participating in the study?”. The responses ranged from 1 to 4, where 1 = no difference and 4 = improved coping.

Caregiver variables

Anxiety and depression were self-reported by the caregivers with the Hospital Anxiety and Depression Scale (HADS) (Zigmond and Snaith, Reference Zigmond and Snaith1983). Each item was rated on a four-point scale that ranged from 0 to 3 and the maximum total score was 42. A cutoff score >8 indicated substantial anxiety and depressive symptoms (Bjelland et al., Reference Bjelland, Dahl, Haug and Neckelmann2002). A meta-study by Bjelland et al. (Reference Bjelland, Dahl, Haug and Neckelmann2002) reported that Cronbach’s alphas ranged from 0.68 to 0.93 for the HADS.

The burden of caregivers was self-reported with the Relative Stress Scale (RSS) (Greene et al., Reference Greene, Smith, Gardiner and Timbury1982). This questionnaire consisted of 15 questions, rated from 0 (not at all) to 4 (to a high degree), and the total score ranged from 0 to 60. The Cronbach’s alpha ranged between 0.70 to 0.86 (Ulstein et al., Reference Ulstein, Bruun Wyller and Engedal2007).

Patient and caregiver questionnaires

Quality of life was recorded in a structured interview conducted by trained professionals with the Norwegian version of the Quality of life in Alzheimer’s disease (QOL-AD) instrument (Logsdon et al., Reference Logsdon, Gibbons, Mccurry and Teri1999). This 13-item questionnaire covered quality of life in different domains, including living conditions, physical health, relationships, and financial conditions. Each item was rated on a four-point scale, and the total score ranged from 13 to 52. The QOL-AD was systematically examined for people with dementia and it showed satisfactory validity. The estimated Cronbach’s alpha was 0.82 (Thorgrimson et al., Reference Thorgrimson2003).

Self-efficacy was self-reported with the General Self-Efficacy (GSE) scale, which included 10 items (Schwarzer et al., Reference Schwarzer, BÄßler, Kwiatek, Schröder and Zhang1997). Participants responded on a four-point scale, as follows: not at all true, hardly true, moderately true, and exactly true. The scale ranged from 10 to 40, with higher values indicating higher self-efficacy. In a sample that covered 23 nations, the estimated Cronbach’s alphas ranged from 0.76 to 0.90 (Schwarzer et al., Reference Schwarzer, BÄßler, Kwiatek, Schröder and Zhang1997).

Sample size

The sample size was calculated for independent samples t-tests, a significance level of 0.05 and 80% power. Based on a study performed at the memory clinic in Oslo including 520 early-stage dementia patients with a mean MADRS score of 9.7 (standard deviation [SD] 6.7) (Knapskog et al., Reference Knapskog, Barca, Engedal and Group2011), 79 persons were needed in each group (N = 158) with an expected decrease of 3 points in the intervention group and no change in the control group. However, a high dropout rate is realistic in studies with elderly people because of illness, death, or cognitive impairment (Chatfield et al., Reference Chatfield, Brayne and Matthews2005). Therefore, the study allowed for a 20% dropout rate, indicating 98 patients in each group. Thus, the study had sufficient power, which decreases the possibility of a type II error (Field, Reference Field2013).

Randomization

Identity numbers that assigned to participants were entered into a computer-generated randomization program (http://randomization.com/).Then, we performed block randomization, with four participants in each group (intervention or control). The randomization was kept blinded for the research team.

Statistical methods

Baseline characteristics of patients in each group and for the total sample are presented as mean and SD for continuous variables, and as frequency and percentage for categorical variables. To evaluate differences in characteristics between patients that completed and those that discontinued the study, we performed an independent samples t-test, for continuous variables, and a chi square test, for categorical variables.

Because patients were recruited from different centers, the data might exhibit a hierarchical structure. Moreover, due to repeated measurements for each patient, intra-patient correlations were likely to be present. Therefore, we assessed differences between the intervention and control groups in time trend in primary (MADRS) and secondary (NPI-Q and QOL-AD) outcome variables with a linear mixed model, one for each variable. The models contained fixed effects for nonlinear time, the treatment group, and interactions between the two. A significant interaction would imply overall trend differences between the groups. Random effects were included for patients nested within centers. Models were adjusted for patient GSE, caregiver GSE, and caregiver RSS scores. Also, age and gender were included as confounders. We applied Akaike’s information criterion (AIC) to reduce the multiple models regarding adjustment variables and performed standard residual diagnostics and found no serious violations of model assumptions. Differences between the groups at each time point were derived in post hoc analyses. In addition, longitudinal analysis of covariance (ANCOVA) was performed, as a sensitivity analysis, to test whether baseline differences impacted the results. We calculated Cohen’s d for between-group differences at each time point with the corresponding 95% confidence intervals (CIs). Data are presented as regression coefficients and standard errors and illustrated graphically as trend curves with 95% CIs at each time point. Residual diagnostic did not show any larger deviations from model assumptions. All analyses were performed with SPSS v25 and SAS v9.4. p-Values < 0.05 were considered statistically significant.

Ethics

Written informed consent was obtained from all patients and caregivers. The study followed the ethical principles outlined in the Declaration of Helsinki and it was approved by the Regional Committee for Ethics in Medical Research, South-Eastern Norway.

Results

Participant selection

The CONSORT diagram in Figure 1 details the patient selection and allocation procedures. The dropout rate from baseline to 4 months post-intervention was 14% (27 of 198) and the dropout rate from 4 to 10 months post-intervention was 20% (40 of 198). Attrition analyses of participants that completed compared to participants that discontinued the study showed no significant differences in background variables between groups (p > .05).

Fig. 1. Flowchart of the selection, randomization, and analyses of people with MCI and dementia and their caregivers. *Only two of the four participating hospitals systematically reported eligibility assessments. Thus, the numbers reflect only the procedures and assessments conducted in two centers. However, this accounted for 85% of the participants.

Fig. 2. An overview of the intervention modules. Homework assignments were completed in-between sessions. *Both the caregiver and the patient participated in the session.

Baseline data

The ratio of dementia to MCI was higher in the intervention group than in the control group (Table 2). We found significant baseline differences between participants with MCI and dementia, on the I-ADL (mean scores, MCI: 11.5; dementia: 13.3; p = 0.009) and the MMSE (mean scores, MCI: 25.3; dementia: 24.2; p = 0.012). However, these groups were not significantly different on the MADRS, GSE, QOL-AD, or NPI, and they had similar hobbies, ages, genders, marital statuses, schooling, formal help, work situations, and symptom durations.

Table 2. Baseline characteristics of 198 people with dementia and their caregivers; n = 80 people with amnestic mild cognitive impairment (MCI) due to Alzheimer’s disease (40%); n = 118 people with dementia (60%)

a [n] indicates the numbers of participants, when data were missing.

Abbreviations: SD, standard deviation; MMSE, Mini Mental State Examination; GSE, General Self-Efficacy Scale; I-ADL, Instrumental Activities of Daily Living; NPI, Neuropsychiatric Inventory; MADRS, Montgomery–Asberg Depression Rating Scale; HADS, Hospital Anxiety and Depression Scale; QOL-AD, Quality of Life in Alzheimer’s disease; RSS, Relative Stress Scale.

Overall, female participants were underrepresented in both the control and intervention groups. Most participants received no formal assistance, were relatively independent, and had a high level of cognitive function. High mean scores on the QOL-AD and GSE and low mean scores on the MADRS suggested that participants functioned well, with few patients score in the range of severe depressive symptoms. Most participants used medication on a daily basis (90.9%); 42.9% reported anti-dementia medications and 14.1% reported antidepressant medications. No changes in medication were reported at the 4-month post-intervention assessment, which indicated that medication doses remained stable during the trial.

Most caregivers were female and had a hobby. High mean scores on the QOL-AD and GSE and low mean scores on the HADS and RSS suggested that caregivers had few symptoms and a high quality of life.

Outcomes

According to unadjusted linear mixed model, the intervention group exhibited significantly larger reduction in the primary outcome, MADRS, than control group (p < 0.001 for interactions; Figure 3). According to post hoc analyses, the groups were different at baseline (T0) (p = 0.017), but not at 4 months post-intervention (T4) or at the follow-up assessment (T10). Cohen’s d values (95% CIs) at T0, T4, and T10 were −0.4 (−0.7; −0.1), 0.1 (−0.2; 0.5), and −0.1 (−0.5; 0.2), respectively.

Fig. 3. Illustration of the trends in the measurement of depressive symptoms (MADRS) over time. Black line: intervention group, gray line: control group. Results are from an unadjusted linear mixed model. MADRS = Montgomery–Åsberg Depression Rating Scale.

In a multiple AIC-reduced model, the overall difference in change between groups was still significant (p = 0.001 for interactions; Table 3), but post hoc analyses did not show any difference between groups at different time points. According to the longitudinal ANCOVA adjusted for covariates, the results were the same as by the linear mixed model.

Table 3. Results of multiple AIC-reduced linear mixed models

Abbreviations: AIC, Akaike’s information criterion; PwD, person with dementia; MADRS, Montgomery–Asberg Depression Rating Scale; QOL-AD, Quality of Life in Alzheimer’s disease; NPI, Neuropsychiatric Inventory; HADS, Hospital Anxiety and Depression Scale; Regr.coeff, regression coefficient; GSE, General Self-efficacy Scale; RSS, Relative Stress Scale. All models are adjusted for age and gender.

Secondary outcomes were also analyzed with both the linear mixed model and a longitudinal ANCOVA adjusting for baseline differences. Both models showed no significant differences in overall trend between the control and intervention group in quality of life for people with dementia or their caregivers, the neuropsychiatric symptoms in people with dementia, or depressive symptoms and anxiety symptoms in caregivers.

Furthermore, in AIC-reduced multiple models, a higher patient GSE score was associated with less depressive symptoms (MADRS; p < 0.001), better patient quality of life (p < 0.001), but lower caregiver quality of life (p = 0.038). A higher caregiver GSE score was significantly associated with less caregiver depressive symptoms (MADRS; p = 0.033), lower caregiver HADS scores (p < 0.001), and better caregiver quality of life (p < 0.001). A higher caregiver RSS score was significantly associated with higher HADS scores (p < 0.001), a worse caregiver quality of life (p < 0.001), and more neuropsychiatric symptoms in people with dementia (p < 0.001). Also, female patients had more depressive symptoms (MADRS; p = 0.005) and higher NPI scores (p = 0.004), compared to male patients.

At 4 months after the baseline assessment, people with dementia in the intervention group scored significantly higher than the control group on the question “overall, how are you coping with everyday life, after participating in the study?” (p < 0.001, chi square test).

Discussion

The main finding of this study was that the CORDIAL intervention affected depressive symptoms compared to treatment-as-usual and this effect was maintained for 6 months after the intervention. This positive finding was consistent with previous findings with other psychosocial interventions that significantly reduced depressive symptoms in people with dementia (Cotelli et al., Reference Cotelli, Manenti and Zanetti2012; Hyer et al., Reference Hyer, Yeager, Hilton and Sacks2009; Kurz et al., Reference Kurz, Pohl, Ramsenthaler and Sorg2009; Kurz et al., Reference Kurz2012; Teri et al., Reference Teri, Logsdon, Uomoto and Mccurry1997; Woods et al., Reference Woods, O’Philbin, Farrell, Spector and Orrell2018). For example, Teri et al. (Reference Teri, Logsdon, Uomoto and Mccurry1997) demonstrated that behavioral treatment for patients with dementia living at home significantly reduced depression and the effect was maintained at the 6-month follow-up. However, in contrast to Teri et al. (Reference Teri, Logsdon, Uomoto and Mccurry1997), most patients in the present study did not qualify for clinical depression. Rather, they exhibited depressive symptoms, which indicated that this multicomponent treatment was effective for the more subtle depressive symptoms observed in people with MCI and early dementia. Additionally, a previous German CORDIAL intervention performed by Kurz et al. (Reference Kurz2012) reported a significant change in depression, but the effect was restricted to female participants. In contrast, the present study found significant group changes in depressive symptoms for both female and male participants. This discrepancy between studies might be explained by the use of different depressive outcome measures; the study by Kurz et al. (Reference Kurz2012) used the GDS, which only included yes/no questions; in contrast, the present study employed the MADRS, which consists of 10 items each rated from 0 to 6 based on the clinician judgment of the severity. Another explanation might be that the present study modified the intervention somewhat, by including more typical male activities in the pleasant event schedule, such as soccer, fishing, driving a car. However, in contrast to the present study, other studies did not find significant changes in depressive symptoms among people with MCI and dementia (Banningh et al., Reference Banningh, Prins, Vernooij-Dassen, Wijnen, Rikkert and Kessels2011; Clare et al., Reference Clare2019; Stockwell‐Smith et al., Reference Stockwell‐Smith, Moyle and Kellett2018; Wang, Reference Wang2007; Woods et al., Reference Woods2012). Potential explanations might be differences in the psychosocial interventions employed, the outcome measurements, and/or the baseline characteristics of participants.

Another promising finding of the present study was that we observed significant changes in coping with everyday life in the intervention group at the 4-month assessment, after the intervention. This finding was consistent with findings from another study that tested a multicomponent group intervention for people with MCIs, which reported improved coping in the intervention group (Banningh et al., Reference Banningh, Prins, Vernooij-Dassen, Wijnen, Rikkert and Kessels2011). However, more advanced statistics and outcome measures of coping are necessary to confirm that finding.

In contrast to studies that used other psychosocial interventions and reported positive quality of life effects (Brueggen et al., Reference Brueggen2017; Olazarán et al., Reference Olazarán2010), the present study did not find any significant group changes in either of the two secondary outcomes, neuropsychiatric symptoms, or quality of life. This was surprising, because one would expect that reducing depressive symptoms would lead to positive interactions with other variables. Other studies have demonstrated a strong relationship between depression and quality of life (Kim and Shim, Reference Kim and Shim2015) and a strong relationship between neuropsychiatric symptoms and depression (Prado‐Jean et al., Reference Prado‐Jean2010). However, consistent with our findings, other psychosocial intervention studies failed to find significant changes in the quality of life or neuropsychiatric symptoms (Appelhof et al., Reference Appelhof2019; Clare et al., Reference Clare2019; Woods et al., Reference Woods2012). This might potentially be explained by differences in the baseline scores of cohorts in different studies; indeed, low neuropsychiatric symptom scores and high quality of life scores at baseline would make it difficult to demonstrate improvements. This notion was consistent with results from a randomized controlled study by Clare et al. (Reference Clare2019), who also explained the lack of findings by low baseline scores. In addition, Clare et al. (Reference Clare2019) noted that the quantitative findings were at odds with the results from the qualitative analysis, which indicated that the intervention may have provided benefits that were not detected by available standardized measures. Moreover, the intervention might prevent symptoms, rather than cure them, which would be difficult to detect with available outcome measures (Mittelman, Reference Mittelman2008).

When examining the caregivers, the present study revealed no significant changes between the control and intervention group in caregiver quality of life or anxiety and depression scales. This finding was not surprising, because the intervention primarily targeted the person with dementia, not the caregiver. This finding was consistent with findings in other studies that also found no effect on caregivers (Woods et al., Reference Woods2012). For example, a large meta-review by Orgeta et al. (Reference Orgeta, Qazi, Spector and Orrell2015) demonstrated that the psychological treatment had no effect on caregivers self-rated depressive symptoms. In contrast, a study by Teri et al. (Reference Teri, Logsdon, Uomoto and Mccurry1997) found that the depressive symptoms in caregivers decreased, even though the patient was the main target of behavioral treatment. One explanation might be the high proportion of clinical depression in the caregivers studied by Teri et al. (Reference Teri, Logsdon, Uomoto and Mccurry1997). In the present study, the mean score for caregivers was below the cutoff for depression at baseline (Bjelland et al., Reference Bjelland, Dahl, Haug and Neckelmann2002). Therefore, there was little opportunity for the intervention to demonstrate improvements. The same limitation applied to the caregiver’s burden, because the baseline scores were already at a floor level before treatment commenced. However, the caregivers might have experienced the intervention as positive and valuable, even though it could not be demonstrated quantitatively. Indeed, a qualitative analysis of the caregivers included in the present study, completed 6–12 months after the interventions, showed that they had gained knowledge of dementia and insight into the importance of focusing on pleasant activities (Myhre et al., Reference Myhre, Tonga, Ulstein, Høye and Kvaal2018). Also, the caregivers referred to the intervention as a positive experience and it contributed to learning ways to cope with dementia. Hence, further qualitative research design might be able to pick up valuable nuances of caregiver improvements that are missed with the outcome measures used in this study.

Strengths and limitations

A common concern in longitudinal studies is post-assignment attrition, which results in losing to follow-up the people with the worst illness and fragility (Salthouse, Reference Salthouse2013). However, a major strength of the present study was that those that completed the study were not significantly different in baseline characteristics from those that discontinued the study. Other strengths were that the therapist self-ratings indicated good treatment adherence, the findings were recorded according to the CONSORT guidelines, and the planned sample size was achieved with adequate power.

Nevertheless, there were several limitations. The control and intervention groups had different baseline characteristics. However, we adjusted for virtually all the differences with the ANCOVA. Also, female participants were underrepresented in the present study. Therefore, stratification might have been a better approach. However, some of the participation centers only included a small number of participants; consequently, stratification would not have been possible within the available time frame and funding. In addition, the “mixed” sample of patients with amnestic MCI and dementia could be a limitation, because some patients with MCI might have been healthy older people; indeed, a previous study showed that 14–50% of people with MCIs reverted to normal function (Butters et al., Reference Butters2008; Petersen et al., Reference Petersen2018). On the other hand, there were few baseline differences between the people with MCI and dementia in this study. The mixed sample might have represented a realistic target for outpatient healthcare settings, because in practice, the distinction between amnestic MCI and dementia often only depends on the premorbid cognitive level. Consequently, although the sample in this study was heterogeneous, we considered it representative of people with MCI and mild dementia due to Alzheimer’s disease. In addition, another limitation may be the heterogeneity of the therapists. However, they all received regular supervision and workshops during the study. Also, the heterogeneity reflects the heterogeneity that is seen in real-life practice. Lastly, the multicomponent character of the intervention implied that the “active ingredients” of the psychosocial intervention are difficult to identify. On the other hand, it is just this feature that enables goal-oriented individual therapy.

Future studies

Future studies could apply a mixed-methods approach. A combination of qualitative and quantitative evaluations of an intervention might provide more insight into how people with dementia experience psychosocial interventions, which might generate ideas about how interventions work (Moniz-Cook et al., Reference Moniz-Cook, Vernooij-Dassen, Woods, Orrell and Network2011). Also, future studies could provide qualitative interviews of the coping experience of psychosocial interventions in combination with measurement scales that grasp the positive aspects of psychosocial interventions, for example, the Coping Orientation to Problems Experienced Inventory (Carver et al., Reference Carver, Scheier and Weintraub1989) or the Client Satisfaction Instrument (Attkisson and Zwick, Reference Attkisson and Zwick1982). Also, more active control groups could be applied, such as comparing the CORDIAL intervention with another active treatment, for instance, cognitive stimulation therapy in groups.

Finally, future research should evaluate the long-term effects of psychosocial interventions, measured 2 to 3 years after the intervention. Those studies might reveal whether psychosocial interventions delivered in the early stages of the disease could be able to prevent the development of concurrent or recurrent depression.

Conclusion

In conclusion, the CORDIAL program, a multimodal intervention comprising 11 individual sessions comprising elements of CBT, cognitive rehabilitation, and reminiscence therapy for people with MCI and dementia, reduced depressive symptoms in individuals with MCIs and dementia.

Conflicts of interest

None.

Description of authors’ roles

J.B. Tonga wrote the main parts of the manuscript, and I.D Ulstein, E. Arnevik, M. Korsnes, and K. Werheid assisted with critical content in the manuscript. J. Satyte-Benth completed the statistical analysis and assisted with writing the results. J.B. Tonga and I.D. Ulstein recruited the participants and collected the data. K. Werheid developed the original German CORDIAL study, together with A.I. Thone-Otto. I.D. Ulstein developed the Norwegian CORDIAL study.

Acknowledgments

The CORDIAL study was funded by the Norwegian Health Association, the Old Age Psychiatry Research Network, Telemark Hospital Trust and Vestfold Trust (TeVe), the Department of Old Age Psychiatry, Oslo University Hospital, and the Civitan Norway Research Foundation of Alzheimer’s Disease. The authors did not enter into an agreement with a funding organization.

The research team would like to thank all the participants and caregivers that participated in this study, and the health staff that helped with the study. Thanks to A.I. Thone-Otto, who conjointly developed the CORDIAL program with K. Werheid. We would also like to thank the following hospitals for participating:

Department of Geriatric Medicine, Institute of Clinical Medicine, Oslo University Hospital, Ullevål, Norway; Department of Old Age Psychiatry, Oslo University Hospital, Grønland, Norway; Department of Old Age Psychiatry, Akershus University Hospital, Skytta, Norway; Department of Old Age Psychiatry, Innlandet Hospital Trust, Sanderud, Norway; and Department of Old Age Psychiatry, Vestfold Hospital Trust, Granli, Norway.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/S1041610220000216

Footnotes

Clinical Trial Registration: NCT02013518

References

Alzheimer’s Association. (2014). 2014 Alzheimer’s disease facts and figures. Alzheimer’s & Dementia, 10, e47e92.Google Scholar
Appelhof, B. et al. (2019). Effects of a multidisciplinary intervention on the presence of neuropsychiatric symptoms and psychotropic drug use in nursing home residents with young-onset al. (2017). Cognitive rehabilitation in Alzheimer’s disease: a controlled intervention trial. Journal of Alzheimer’s Disease, 57, 13151324.Google Scholar
Attkisson, C. C. and Zwick, R. (1982). The client satisfaction questionnaire: psychometric properties and correlations with service utilization and psychotherapy outcome. Evaluation and Program Planning, 5, 233237.CrossRefGoogle Scholar
Banningh, L. W. J.-W., Prins, J. B., Vernooij-Dassen, M. J., Wijnen, H. H., Rikkert, M. G. O. and Kessels, R. P. (2011). Group therapy for patients with mild cognitive impairment and their significant others: results of a waiting-list controlled trial. Gerontology, 57, 444454.Google Scholar
Beck, J. S. (2011). Cognitive Behavior Therapy: Basics and Beyond. New York: Guilford Press.Google Scholar
Bjelland, I., Dahl, A. A., Haug, T. T. and Neckelmann, D. (2002). The validity of the Hospital Anxiety and Depression Scale: an updated literature review. Journal of Psychosomatic Research, 52, 6977.CrossRefGoogle Scholar
Brewer, J. B., Magda, S., Airriess, C. and Smith, M. E. (2009). Fully-automated quantification of regional brain volumes for improved detection of focal atrophy in Alzheimer disease. American Journal of Neuroradiology, 30, 57880.CrossRefGoogle Scholar
Brodaty, H., Green, A. and Koschera, A. (2003). Metaanalysis of psychosocial interventions for caregivers of people with dementia. Journal of the American Geriatrics Society, 51, 657664.CrossRefGoogle Scholar
Brueggen, K. et al. (2017). Cognitive rehabilitation in Alzheimers disease: a controlled intervention trial. Journal of Alzheimers Disease, 57, 13151324.CrossRefGoogle Scholar
Brækhus, A., Ulstein, I., Wyller, T. and Engedal, K. (2011). The memory clinic - outpatient assessment when dementia is suspected. Tidsskrift for Norsk Legeforening, 22.Google Scholar
Butters, M. A. et al. (2008). Pathways linking late-life depression to persistent cognitive impairment and dementia. Dialogues in Clinical Neuroscience, 10, 345.Google Scholar
Carver, C. S., Scheier, M. F. and Weintraub, J. K. (1989). Assessing coping strategies: a theoretically based approach. Journal of Personality and Social Psychology, 56, 267.CrossRefGoogle Scholar
Chatfield, M. D., Brayne, C. E. and Matthews, F. E. (2005). A systematic literature review of attrition between waves in longitudinal studies in the elderly shows a consistent pattern of dropout between differing studies. Journal of Clinical Epidemiology, 58, 1319.CrossRefGoogle Scholar
Clare, L. et al. (2019). Individual goal‐oriented cognitive rehabilitation to improve everyday functioning for people with early‐stage dementia: a multi‐centre randomised controlled trial (the GREAT trial). International Journal of Geriatric Psychiatry, 34, 709721.CrossRefGoogle Scholar
Clare, L. et al. (2010). Goal-oriented cognitive rehabilitation for people with early-stage Alzheimer disease: a single-blind randomized controlled trial of clinical efficacy. The American Journal of Geriatric Psychiatry, 18, 928939.CrossRefGoogle Scholar
Cody, R. A. and Drysdale, K. (2013). The effects of psychotherapy on reducing depression in residential aged care: a meta-analytic review. Clinical Gerontologist, 36, 4669.CrossRefGoogle Scholar
Cotelli, M., Manenti, R. and Zanetti, O. (2012). Reminiscence therapy in dementia: a review. Maturitas, 72, 203205.CrossRefGoogle Scholar
Dubois, B., Feldman, H. H., Jacova, C., Dekosky, S. T., Barberger-Gateau, P. and Cummings, J. (2007). Research criteria for the diagnosis of Alzheimer’s disease: revising the NINCDS-ADRDA criteria. The Lancet Neurology, 6, 734746.CrossRefGoogle Scholar
Enache, D., Winblad, B. and Aarsland, D. (2011). Depression in dementia: epidemiology, mechanisms, and treatment. Current Opinion in Psychiatry, 24, 461472.CrossRefGoogle Scholar
Engedal, K., Brækhus, A., Andreassen, O. and Nakstad, P. (2012). Diagnosis of dementia -automatic quantification of brain structures. Tidsskrift for den Norske laegeforening: tidsskrift for praktisk medicin, ny raekke, 132, 17471751.CrossRefGoogle Scholar
Fantino, B. and Moore, N. (2009). The self-reported Montegomery-Aasberg depression rating scale is a useful evaluative tool in major depressive disorder. BMC Psychiatry, 9, 26.CrossRefGoogle Scholar
Field, A. (2013). Discovering statistics using IBM SPSS statistics. London: Sage.Google Scholar
Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189198.CrossRefGoogle Scholar
Greene, J., Smith, R., Gardiner, M. and Timbury, G. (1982). Measuring behavioural disturbance of elderly demented patients in the community and its effects on relatives: a factor analytic study. Age and Ageing, 11, 121126.CrossRefGoogle Scholar
Harman, G. and Clare, L. (2006). Illness representations and lived experience in early-stage dementia. Qualitative Health Research, 16, 484502.CrossRefGoogle Scholar
Huang, H.-C. et al. (2015). Reminiscence therapy improves cognitive functions and reduces depressive symptoms in elderly people with dementia: a meta-analysis of randomized controlled trials. Journal of the American Medical Directors Association, 16, 10871094.CrossRefGoogle Scholar
Hyer, L., Yeager, C. A., Hilton, N. and Sacks, A. (2009). Group, individual, and staff therapy: an efficient and effective cognitive behavioral therapy in long-term care. American Journal of Alzheimer’s Disease & Other Dementias®, 23, 528539.CrossRefGoogle Scholar
Kaufer, D. I. et al. (2000). Validation of the NPI-Q, a brief clinical form of the Neuropsychiatric Inventory. The Journal of Neuropsychiatry and Clinical Neurosciences, 12, 233239.CrossRefGoogle Scholar
Kim, Y. O. and Shim, M. S. (2015). Cognitive functions, instrumental activities of daily living, depression and quality of life in the elderly with mild cognitive impairment. Journal of Korean Public Health Nursing, 29, 219230.CrossRefGoogle Scholar
Knapskog, A.-B., Barca, M. L., Engedal, K. and Group, C. S. (2011). A comparison of the validity of the Cornell Scale and the MADRS in detecting depression among memory clinic patients. Dementia and Geriatric Cognitive Disorders, 32, 287294.CrossRefGoogle Scholar
Kurz, A., Pohl, C., Ramsenthaler, M. and Sorg, C. (2009). Cognitive rehabilitation in patients with mild cognitive impairment. International Journal of Geriatric Psychiatry: A Journal of the Psychiatry of Late Life and Allied Sciences, 24, 163168.CrossRefGoogle Scholar
Kurz, A. et al. (2012). CORDIAL: cognitive rehabilitation and cognitive-behavioral treatment for early dementia in Alzheimer disease a multicenter, randomized, controlled trial. Alzheimer Disease & Associated Disorders, 26, 246253.CrossRefGoogle Scholar
Lawton, M. and Brody, E. (1969). Instrumental activites of daily living scale (IADL). The Gerontologist, 9, 179186.CrossRefGoogle Scholar
Lee, S. M., Roen, K. and Thornton, A. (2014). The psychological impact of a diagnosis of Alzheimer’s disease. Dementia, 13, 289305.CrossRefGoogle Scholar
Logsdon, R. G., Gibbons, L. E., Mccurry, S. M. and Teri, L. (1999). Quality of life in Alzheimer’s disease: patient and caregiver reports. Journal of Mental Health and Aging, 5, 2132.Google Scholar
Mittelman, M. (2008). Psychosocial intervention research: challenges, strategies and measurement issues. Aging & Mental Health, 12, 14.CrossRefGoogle Scholar
Mittmann, N., Mitter, S., Borden, E. K., Herrmann, N., Naranjo, C. A. and Shear, N. H. (1997). Montgomery-Åsberg severity gradations. The American Journal of Psychiatry, 154, 13201321.Google Scholar
Moniz-Cook, E., Vernooij-Dassen, M., Woods, B., Orrell, M. and Network, I. (2011). Psychosocial interventions in dementia care research: the INTERDEM manifesto. Aging & Mental Health, 15, 283290.CrossRefGoogle Scholar
Montgomery, S. A. and Åsberg, M. (1979). A new depression scale designed to be sensitive to change. The British Journal of Psychiatry, 134, 382389.CrossRefGoogle Scholar
Myhre, J., Tonga, J. B., Ulstein, I. D., Høye, S. and Kvaal, K. (2018). The coping experiences of spouses of persons with dementia. Journal of Clinical Nursing, 27, e495e502.CrossRefGoogle Scholar
Müller-Thomsen, T., Arlt, S., Mann, U., Maß, R. and Ganzer, S. (2005). Detecting depression in Alzheimer’s disease: evaluation of four different scales. Archives of Clinical Neuropsychology, 20, 271276.CrossRefGoogle Scholar
Müller, M. J., Szegedi, A., Wetzel, H. and Benkert, O. (2000). Moderate and severe depression: gradations for the Montgomery–Åsberg depression rating scale. Journal of Affective Disorders, 60, 137140.CrossRefGoogle Scholar
Olazarán, J. et al. (2010). Nonpharmacological therapies in Alzheimer’s disease: a systematic review of efficacy. Dementia and Geriatric Cognitive Disorders, 30, 161178.CrossRefGoogle Scholar
Orgeta, V., Qazi, A., Spector, A. and Orrell, M. (2015). Psychological treatments for depression and anxiety in dementia and mild cognitive impairment: systematic review and meta-analysis. The British Journal of Psychiatry, 207, 293298.CrossRefGoogle Scholar
Petersen, R. C. et al. (2018). Practice guideline update summary: mild cognitive impairment: report of the guideline development, dissemination, and implementation subcommittee of the American academy of neurology. Neurology, 90, 126135.CrossRefGoogle Scholar
Prado‐Jean, A. et al. (2010). Specific psychological and behavioral symptoms of depression in patients with dementia. International Journal of Geriatric Psychiatry, 25, 10651072.CrossRefGoogle Scholar
Salthouse, T. A. (2013). Selectivity of attrition in longitudinal studies of cognitive functioning. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 69, 567574.CrossRefGoogle Scholar
Scheltens, P. et al. (1992). Atrophy of medial temporal lobes on MRI in” probable” Alzheimer’s disease and normal ageing: diagnostic value and neuropsychological correlates. Journal of Neurology, Neurosurgery & Psychiatry, 55, 967972.CrossRefGoogle Scholar
Schwarzer, R., BÄßler, J., Kwiatek, P., Schröder, K. and Zhang, J. X. (1997). The assessment of optimistic self‐beliefs: comparison of the German, Spanish, and Chinese versions of the general self‐efficacy scale. Applied Psychology, 46, 6988.CrossRefGoogle Scholar
Sikkes, S., de Lange-de Klerk, E., Pijnenburg, Y. and Scheltens, P. (2009). A systematic review of instrumental activities of daily living scales in dementia: a room for improvement. Journal of Neurology, Neurosurgery & Psychiatry, 80, 712.CrossRefGoogle Scholar
Selbaek, G., Kirkevold, Ø., Sommer, O. H. and Engedal, K. (2008). The reliability and validity of the Norwegian version of the Neuropsychiatric Inventory, nursing home version (NPI-NH). International Psychogeriatrics, 20, 375382.CrossRefGoogle Scholar
Snowden, B. et al. (2015). Longitudinal association of dementia and depression. American Journal of Geriatric Psychiatry, 23, 897905.CrossRefGoogle Scholar
Stockwell‐Smith, G., Moyle, W. and Kellett, U. (2018). The impact of early psychosocial intervention on self‐efficacy of care recipient/carer dyads living with early‐stage dementia—A mixed‐methods study. Journal of Advanced Nursing, 74, 21672180.CrossRefGoogle Scholar
Strobel, C. and Engedal, K. (2008). MMSE-NR. Norsk revidert Mini Mental Status Evaluering. Revidert og utvidet manual. Tønsberg: Nasjonalt kompetansesenter for aldring og helse.Google Scholar
Teri, L., Logsdon, R. G., Uomoto, J. and Mccurry, S. M. (1997). Behavioral treatment of depression in dementia patients: a controlled clinical trial. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 52, P159P166.CrossRefGoogle Scholar
Teri, L., Mckenzie, G. and Lafazia, D. (2005). Psychosocial treatment of depression in older adults with dementia. Clinical Psychology: Science and Practice, 12, 303316.Google Scholar
Tonga, J. B., Karlsoeen, B. B., Arnevik, E. A., Werheid, K., Korsnes, M. S. and Ulstein, I. D. (2016). Challenges with manual-based multimodal psychotherapy for people with Alzheimer’s disease: a case study. American Journal of Alzheimer’s Disease & Other Dementias, 31, 311317.CrossRefGoogle Scholar
Tonga, J. B., Arnevik, E. A., Werheid, K. and Ulstein, I. D. (2015). Manual-based cognitive behavioral and cognitive rehabilitation therapy for young-onset al. (2003). Whose quality of life is it anyway? The validity and reliability of the Quality of Life-Alzheimer’s Disease (QoL-AD) scale. Alzheimer Disease & Associated Disorders, 17, 201208.Google Scholar
Thorgrimson, L. et al. (2003). Whose quality of life is it anyway? The validity and reliability of the Quality of Life-Alzheimers Disease (QoL-AD) scale. Alzheimer Disease & Associated Disorders, 17, 201208.CrossRefGoogle Scholar
Ulstein, I., Bruun Wyller, T. and Engedal, K. (2007). The relative stress scale, a useful instrument to identify various aspects of carer burden in dementia? International Journal of Geriatric Psychiatry: A Journal of the Psychiatry of Late Life and Allied Sciences, 22, 6167.CrossRefGoogle Scholar
Wang, J. J. (2007). Group reminiscence therapy for cognitive and affective function of demented elderly in Taiwan. International Journal of Geriatric Psychiatry: A Journal of the Psychiatry of Late Life and Allied Sciences, 22, 12351240.CrossRefGoogle Scholar
Wimo, A. W. and Winblad, B. (2003). Resource utlization in dementia: RUD Lite. Brain Aging, 3, 4859.Google Scholar
Winblad, B. et al. (2004). Mild cognitive impairment - beyond controversies, towards a consensus: Report of the international working group on mild cognitive impairment. Journal of Internal Medicine, 256, 240246.CrossRefGoogle Scholar
Werheid, K., Köhncke, Y., Ziegler, M. and Kurz, A. (2015). Latent change score modeling as a method for analyzing the antidepressant effect of a psychosocial intervention in Alzheimer’s disease. Psychotherapy and Psychosomatics, 84, 159166.CrossRefGoogle Scholar
Woods, R. T. et al. (2012). REMCARE: reminiscence groups for people with dementia and their family caregivers-effectiveness and cost-effectiveness pragmatic multicentre randomised trial. Health Technology Assessment, 16, 116.CrossRefGoogle Scholar
Woods, B., O’Philbin, L., Farrell, E. M., Spector, A. E. and Orrell, M. (2018). Reminiscence therapy for dementia. Cochrane Database of Systematic Reviews, Art. No. CD001120.CrossRefGoogle Scholar
Zigmond, A. S. and Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 67, 361370.CrossRefGoogle Scholar
Figure 0

Table 1. Overview of treatment-as-usual (N = 85)

Figure 1

Fig. 1. Flowchart of the selection, randomization, and analyses of people with MCI and dementia and their caregivers. *Only two of the four participating hospitals systematically reported eligibility assessments. Thus, the numbers reflect only the procedures and assessments conducted in two centers. However, this accounted for 85% of the participants.

Figure 2

Fig. 2. An overview of the intervention modules. Homework assignments were completed in-between sessions. *Both the caregiver and the patient participated in the session.

Figure 3

Table 2. Baseline characteristics of 198 people with dementia and their caregivers; n = 80 people with amnestic mild cognitive impairment (MCI) due to Alzheimer’s disease (40%); n = 118 people with dementia (60%)

Figure 4

Fig. 3. Illustration of the trends in the measurement of depressive symptoms (MADRS) over time. Black line: intervention group, gray line: control group. Results are from an unadjusted linear mixed model. MADRS = Montgomery–Åsberg Depression Rating Scale.

Figure 5

Table 3. Results of multiple AIC-reduced linear mixed models

Supplementary material: File

Tonga et al. supplementary material

Tonga et al. supplementary material 1

Download Tonga et al. supplementary material(File)
File 65.1 KB
Supplementary material: PDF

Tonga et al. supplementary material

Tonga et al. supplementary material 2

Download Tonga et al. supplementary material(PDF)
PDF 138.8 KB