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Publicly Available Published by De Gruyter October 30, 2018

Does validation and alliance during the multimodal investigation affect patients’ acceptance of chronic pain? An experimental single case study

  • Mikael Svanberg EMAIL logo , Ann-Christin Johansson and Katja Boersma

Abstract

Background and aims

Among chronic pain patients who are referred to participation in a multimodal rehabilitation program (MMRP), pain catastrophizing and dysfunctional pain coping is common. In many cases it may have driven the patient to a range of unsuccessful searches for biomedical explanations and pain relief. Often these efforts have left patients feeling disappointed, hopeless and misunderstood. The MMRP process can be preceded by a multimodal investigation (MMI) where an important effort is to validate the patient to create a good alliance and begin a process of change towards acceptance of the pain. However, whether the MMI has such therapeutic effect is unclear. Using a repeated single case experimental design, the purpose of this study was to investigate the therapeutic effect of MMI by studying changes in patients’ experience of validation, alliance, acceptance of pain, coping, catastrophizing, and depression before and during the MMI process.

Methods

Participants were six chronic pain patients with high levels of pain catastrophizing (>25 on the Pain Catastrophizing Scale) and risk for long term disability (>105 on the Örebro Musculoskeletal Pain Screening Questionnaire) who were subjected to MMI before planned MMRP. For each patient, weekly self-report measures of validation, alliance and acceptance of pain were obtained during a 5–10-weeks baseline, before the MMI started. Subsequently, these measures were also obtained during a 6–8 weeks MMI process in order to enable comparative analyses. Additionally, pain coping, depression and pain catastrophizing were measured using standardized questionnaires before and after the MMI.

Results

Irrespective of experiences of validation and alliance before MMI, all six patients felt validated and experienced a good alliance during MMI. Acceptance of pain improved only in one patient during MMI. None of the patients showed clinically relevant improvement in pain coping, depression or catastrophizing after the MMI.

Conclusions

The patients did not change their acceptance and pain coping strategies despite of good alliance and experience of validation during the MMI process. Even if the design of this study precludes generalization to chronic pain patients in general, the results suggest that MMI may not have a therapeutic effect.

1 Introduction

The bio-psycho-social model – where the illness is understood as an interaction between biological, psychological and social factors – builds the basic framework for the treatment of patients with chronic pain within multimodal rehabilitation programs (MMRPs). MMRPs are conducted by a team commonly including physicians, psychologists, physiotherapists, occupational therapists, social workers and other health professionals [1]. Based on cognitive-behavior principles it contains elements such as education, physical activity/exercise, coping skills training, and occupational therapy sessions. These programs show significant results on a group level [2], [3], [4], [5] but there is considerable variation within the chronic pain population and treatment effect sizes are moderate [4], [5]. This raises the question what part of the MMRP process is effective and for whom.

MMRP is often preceded by a multimodal assessment and, in some clinics, an extensive multimodal investigation (MMI). The purpose of the MMI is to assist the team in case formulation and patient selection, but also to motivationally prepare the patient prior to the MMRP. Specifically, the team members all individually assess the patient, and thereafter align their formulations in a patient conference, in order to assemble comprehensive biopsychosocial picture of the pain problem. An effort is made to validate the patient to create a good alliance and begin a process of change towards a greater pain acceptance. Studies have verified that patients gone through a pretreatment preparation are more likely to attend pain management workshops [6]. However, the mechanisms behind a hypothesized effect of the MMI process are unknown and to our knowledge there are no empirical studies detailing the process of change of patients going through MMI. Thus, it is unclear whether the MMI has a therapeutic effect and, if so, what the mechanisms may be. This is important to be able to improve the MMI or if not effective, explore alternatives.

Chronic pain patients often enter MMI with a long history of disappointing attempts to find satisfactory and sustained pain relief. This is accompanied by high levels of catastrophizing, disillusion and despair [7], and the development of these variables across MMI needs to be studied. The “misdirected problem solving” model provides a theoretical framework as it specifically focuses on these variables [8]. This model stipulates that worry about pain, in combination with a biomedical theory of the cause of the pain, can get patients “stuck” in unhelpful attempts to solve their pain problem (e.g. continued seeking of biomedical solutions and pain relief within the health care system). The model thus explicates how patients who enter MMI, when trying to solve their pain problem, may have unintentionally gotten stuck in a loop of failing problem solving efforts, ultimately reinforcing their despair, worry and depression [8].

In line with this model, a goal of the MMI is to assist the patient in reframing their problem away from seeking an immediate pain cure and towards acceptance of the insolubility of chronic pain. The MMI includes communication efforts such as validation and Socratic interviewing aiming to improve alliance and communicate understanding. Validation, in combination with education about the biopsychosocial model of pain, are hypothesized to enable pain acceptance and a redirection of behavioral and cognitive efforts towards relevant and attainable life goals [9].

In this study, the aim was to track how chronic pain patients change during MMI. We used the model of misdirected problem solving as a theoretical frame. Specifically, we describe changes in patients’ experience of validation, alliance, acceptance, pain coping, catastrophizing and depression. As MMI is a largely unexplored area, we use a replicated single case experimental design [10]. In this design, repeated measurement during a baseline serve the same function as a no treatment control group. If changes occur when intervention is introduced, it is assumed that this is related to the intervention. Replication is achieved via additional participants strengthening the findings and increasing generality [10], [11]. While this design provides the opportunity to draw valid inferences of change on individual basis, the requirement to collect data on large and homogeneous groups is circumvented. Thus, this type of design is well suited to explore new ideas and get a preliminary indication on changes across MMI.

2 Methods

2.1 Design and procedure

This study employs a repeated single case AB design [10]. Six chronic pain patients with high levels of pain coping problems filled out repeated weekly measurements during a baseline waiting phase (phase A) and the MMI phase (phase B). Phase A served as a control and benchmark from which the ratings during phase B could be compared. Phase A varied randomly between 5 and 10 weeks and phase B was 6–8 weeks. Weekly measurements were complemented with pre- and post-assessment measurement using standardized measures.

2.2 Selection, participants and recruitment

Participants were residents in Västmanland County, Sweden who were referred for MMRP by their general practitioner (GP) to a psychosomatic rehabilitation center during the period 2012-11-15 to 2013-10-21. Selection criteria for an initial invitation to participate in the study were: 1: age between 18 and 65; 2: chronic pain (>6 months); 3: no indication of physical or mental illness that demands specific treatment.

Eighteen patients fulfilled these basic requirements and were invited by telephone to participate in the study (Fig. 1). They were informed about the study and that participation was voluntary and would not influence their health care. Sixteen patients showed interest and agreed to fill out a questionnaire screening the additional inclusion criteria. The inclusion criteria were a total score of >25 on the Pain Catastrophizing Scale (PCS) [12] and a total score of >105 on the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ) [13]. These levels are established cut offs for clinically relevant levels of catastrophizing and risk for future disability for pain patients [12], [13] and were employed to ensure that only patients with high levels of pain coping problems were included in the study.

Fig. 1: 
            Flowchart of recruitment process.
Fig. 1:

Flowchart of recruitment process.

Of the 16 patients who filled out this screening, 11 met the inclusion criteria and were invited to the rehabilitation center for further information on the study. Informed consent was obtained and the first of two standardized pretest measures were completed.

All patients completed baseline phase A but five decided to discontinue filling out weekly assessments during phase B. One participant due to discontinuation of the multimodal assessment (and referral back to the GP) and four participants were unable or unwilling to continue filling out the forms but went through MMI as planned. Six patients completed the study (see Table 1 for the characteristics of these patients).

Table 1:

Characteristics of the participating patients.

No. Age Female=1 male=2 Cohabitant=1 single=2 Number of children Smoker yes=1/ number of cigarettes no=2 Working=1 non working=2 student=3 Pain distribution Diagnosis Pain duration (years)
1 20 1 1 0 1/10 2 Neck/shoulder Neck/shoulder myalgia 2
2 39 1 1 5 2 3 Generalizeda Fibramyalgia (FM) 1
3 26 1 1 1 2 1 Generalized FM+GADb 1.5
4 45 1 2 1 1/10 2 Generalized FM, exhaustion and depression 9
5 35 1 2 2 2 1 Generalized FM, exhaustion 5
6 51 1 1 2 2 1 Generalized FM 2.5
  1. aWidespread pain; bgeneralized anxiety disorder.

The study was approved by the Regional Ethical Board in Uppsala (D-nr 2012/305).

2.3 Measures

2.3.1 Weekly ratings

A weekly diary was constructed by selecting and adapting suitable questions from validated questionnaires. The included questions was covering validation (two items, selected from [14] e.g. “I have felt that the caregivers whom I last met [due to the pain] have understood me”), alliance (two items; selected from [15] e.g. “I have trusted my caregiver”) and acceptance (three items; selected from [16] e.g. “My life is going well, even though I have chronic pain”). The items were scored on 0–10 scales, 0 representing “not at all” and 10 represented “all the time”. The measure was administered at the end of each week and returned to the rehabilitation center in a prepaid envelop directly after. Overall, adherence was good with 98% completed questionnaires.

2.3.2 Screening, pre- and post-measures

The ÖMPSQ [17] is an 18-item, clinically reliable and valid instrument that measures psychosocial factors known to increase the risk of future disability in pain patients [13]. The ÖMPSQ was used as a screening instrument to ensure sufficient levels of pain coping problems in the patients included in the study.

The PCS [12] is a 13-item instrument that measures catastrophic thinking associated with pain [12], [18]. Participants rate how often they experience each of 13 thoughts or feelings when they are in pain, e.g. “I can’t stop thinking about how much it hurts” and “I’m afraid something serious might happen”. The ratings are scored on a 5-point Likert scale ranging from 0 not at all, to 4 all the time. Scores on the PCS can be added to form a total score or can be divided to form three subscales; rumination, magnification and helplessness. For the purpose of this study, only the total score was used. The PCS was used to screen for patients for sufficient levels of pain coping problems to be included in the study as well as a measure to investigate changes from pre- to post-investigation. The PCS has demonstrated good reliability and validity [12].

The Pain Solutions Questionnaire (PaSol) [9] is a 14-item questionnaire designed to measure assimilative and accommodative response to pain problems. An assimilative response is defined as a “directed effort at curing/controlling pain” and accommodative response is defined as “relinquishing pain relief as the primary goal by reducing its importance” [8]. PaSol uses Likert scales ranging from 0 (“not at all applicable”) to 6 (“highly applicable”). It can be divided into four subscales whereof two capture assimilative coping: Solving Pain (SP) scale (four items) and Belief in a Solution (BS) scale (two items) and two accommodative coping: Meaningfulness of Life Despite Pain (ML) scale (five items) and Acceptance of the Insolubility of Pain (Acc) scale (three items) [9]. The PaSol has demonstrated good reliability and validity [9], [19].

The depression subscale of the Hospital Anxiety and Depression Scale (HADS) [20] was used to assess depressed mood. Participants rate how often they experience each of seven thoughts or feelings related to depressed mood, e.g. “I still enjoy the things I used to enjoy”. The ratings are scored on a 4-point Likert scale ranging from 0 “not at all”, to 3 “very often”. The scores are interpreted as mild (8–10) moderate (11–15) and severe (>15) levels of depression [21]. The HADS has demonstrated good reliability and validity [21], [22].

2.3.3 Multimodal investigation

In this study the MMI was conducted by a team consisting of a physician, nurse, psychologist/psychotherapist and physiotherapist. The team had worked together for at least 6 months and had monthly supervision of a psychotherapist. All team members were working with a cognitive approach, including collaborative empiricism and Socratic interview techniques [23]. They also had a biopsychosocial model [24] for explanation of chronic pain. Each team-member’s role in the investigation was based on their profession. In addition, the nurse also had a coordinating role. Throughout the investigation – between appointments – team members informally communicated with one another for optimal coordination and adaptation of the MMI. They also strived to have an empathic and validating approach to create conditions for a good alliance with the patients trying to prepare them for future rehabilitation.

The content of the MMI was one 1.5-h visit to each team-member per week during 4 weeks. After the four visits, the team met to summarize their findings and come to an agreement on diagnosis and treatment suggestions. No new biomedical investigations and treatments were performed during the MMI. A written summary (with the diagnosis and treatment suggestions) was presented to the patient (and any significant others) at a final visit to the physician and one of the other three team members. Accordingly, the patient had the possibility to express thoughts and ideas regarding suggested treatment. Subsequently, the MMI was completed.

2.4 Data analysis

Graphs of weekly dairy ratings on validation, alliance and acceptance were made to enable visual analysis. To determine whether the MMI had produced any changes, the criteria for the visual analysis were differences in level, variability and trend between baseline phase “A” and intervention phase “B” [10]. To systematize our visual inspection, we describe ratings in the range of 0–3 as “low level”, 4–7 as “medium level” and 8–10 as “high level”. Variability within, and trends exceeding, these thresholds are described. To complement visual inspection of changes, the Nonoverlap of All Pairs (NAP) technique was used, including 90% confidence intervals (CI). NAP is a nonparametric technique for measuring percentage non overlap or “dominance” for two phases. NAP is equal to the empirical area under the curve from a receiver operating characteristic test. Strengths of NAP are its simplicity, its reflection of visual non overlap, and its statistical power [25]. As NAP does not include information on data trend, Kendall Rank Correlations (KRC) are used to indicate the tendency of ratings to increase or decrease from phase A to B.

To investigate if there was a reliable difference between the scores on standardized measures for pain catastrophizing and depression before and after the MMI, the Reliable Change Index (RCI) was calculated [26]. For this calculation, the standard deviation (SD) and test-retest reliability of the PCS and the HADS-D were obtained from previous research [12], [27]. Furthermore, as test retest reliability scores not were available, improvement on PaSol subscales was determined using a criterion of change from pre- to post of minimally one SD as a benchmark for clinical significance. Here, the SD of the mean of a comparison population with chronic pain [19], was used: SP M=21.60, SD=2.95; ML M=21.95, SD=6.65; Acc M=9.26, SD=4.86; BS M=8.41, SD=3.28 [19].

3 Results

Figure 2 graphically displays participants’ weekly dairy ratings on validation, alliance and acceptance. Table 2 shows pre- to post changes on standardized measures of pain catastrophizing (PCS), depression (HADS-D) and approach to pain problem solving (PaSol).

Fig. 2: 
          Weekly dairy ratings.
Fig. 2:

Weekly dairy ratings.

Table 2:

Pre- and post-measures.

Participant 1
2
3
4
5
6
Timepoint a b a−b/Sd a b a−b/Sd a b a−b/Sd a b a−b/Sd a b a−b/Sd a b a−b/Sd
PaSol-SP 11 17 2.03a 23 24 0.33 18 21 1.01a 13 11 0.51 18 13 −1.69a 19.5 21 0.51
PaSol-ML 22 22 0 22.5 23 0 17.5 18 0 13 11 −0.30 21.5 24 0.38 11.5 10 −0.23
PaSol-Acc 15 16 0.21 10 12 0.41 7.5 10 0.51 4 6 0.41 0 1 0.21 2.5 0 0.51
PaSol- BS 6 7 0.30 7.5 18 3.2a 4 7 0.91 6.5 4 0.76 5 6 0.30 7.5 11 1.07a
RCI RCI RCI RCI RCI RCI
PCS 18.5 25 0.71 21.5 26 0.49 38 37 −0.11 24 31 0.77 38.5 34 −0.44 45 48 0.33
HADS_D 8 8 0 6.5 12 1.6 8 11 0.87 13.5 18 1.31 9.5 11 0.44 8 6 −0.58
  1. Timepoint: a=before intervention (mean=1+2/2) b=after intervention; PaSol-SP=pain solutions questionnaire – solving pain; PaSol-ML=pain solutions questionnaire – meaningfulness of life despite pain; PaSol-Acc=pain solutions questionnaire – acceptance of the insolubility of pain; PaSol-BS=pain solutions questionnaire – belief in a solution; PCS=pain catastrophizing scale; HADS_D=the depression subscale of the hospital anxiety and depression scale; RCI=reliable change index. aSignifies clinically significant change.

3.1 Weekly ratings

Visual inspection of weekly ratings of participant 1 showed consistently high-level ratings on validation and alliance during baseline phase A as well as during MMI phase B (validation and alliance NAP=50% (CI=−53% to 53%), ns; KRC=0). Mostly high levels of acceptance of the pain can be seen, with some variation but no clear change toward higher or lower level values from phase A to phase B [NAP=46% (CI=−61% to 45%), ns: KRC=−0.08]. In summary, no changes could be detected on any of the variables.

Visual inspection of weekly ratings of participant 2 showed a decrease in ratings on both validation and alliance during phase A, stabilizing on a relatively low level. Ratings increase to high level with no variation during phase B [validation: NAP=100% (CI=43%–100%), p=0.004; KRC=1.0; alliance: NAP=100% (CI=48%–100%), p=0.002; KRC=1.0]. Medium levels of acceptance of pain can be seen, with some stabilization of variation during phase B, but no clear change toward higher or lower levels from phase A to phase B [NAP=50% (CI=−52% to 52%), ns; KRC=0]. In summary, alliance and validation show an increasing trend from phase A to B but no change in acceptance could be detected.

Visual inspection of weekly ratings of participant 3 showed predominantly medium level ratings of validation and alliance during phase A with a rising trend towards high level ratings during phase B [validation: NAP=78% (CI=5%–100%), p=0.07; KRC=0.55; alliance NAP=72% (CI=−6% to 95%), ns, KRC=0.45]. The ratings on acceptance showed stable low-level values during phase A, that increased towards medium levels during phase B [NAP=88% (CI=26%–100%), p=0.01; KRC=0.77]. In summary, validation showed an increasing trend while increases in alliance were non-significant. Acceptance showed an increasing trend from phase A to B.

Visual inspection of weekly ratings of participant 4 showed consistently high level ratings on validation and alliance during baseline phase A as well as during phase B [validation: NAP=60% (CI=−36% to 76%), ns; KRC=−0.20; alliance NAP=50% (CI=−53% to 53%), ns; KRC=0.0]. Acceptance ratings varied between medium and low levels during phase A, with slight decrease of variation and stability towards low level ratings during phase B [NAP=94% (CI=31%–100%), p=0.01; KRC=−0.88]. In summary validation and alliance were high across both phases and did not change. There was a significant decrease in acceptance ratings from variable medium/low to stable low ratings from phase A to B.

Visual inspection of weekly ratings of participant 5 showed a decrease in ratings on both validation and alliance during phase A, stabilizing on a low level. Validation ratings increase to high levels during phase B and Alliance rating increase to varying medium and high ratings [validation and alliance NAP=100% (CI=45%–100%), p=0.003; KRC=1.0]. The ratings for acceptance were low level and relatively stable during phase A as well as phase B [NAP=73% (CI=−7% to 100%) ns; KRC=0.48]. In summary, validation and alliance increased while acceptance ratings did not change.

Visual inspection of weekly ratings of participant 6 showed consistently high-level ratings for validation and alliance across both phase A and B, with little variation [validation: NAP=50% (CI=−53% to 53%), ns; KRC=0; alliance NAP=35% (CI=−22% to 83%), ns; KRC=0.31]. The ratings for acceptance varied predominantly in the medium level range during phase A with some stabilization of variation during phase B at the lower end of the medium level range (NAP=86% CI=19%–100% p=0.03; KRC=−0.71). In summary, validation and alliance were high and did not change while there was a significant decrease in acceptance ratings from variable medium to stable lower end medium ratings from phase A to B.

Taken together, the validation and alliance ratings were either already high in phase A and remained in phase B (P1, 4, 6), or increased from phase A to B (P2, 3, 5). Acceptance of pain increased for only one participant (P3) and did not change (P1, 2, 5) or slightly decreased (P4, 6) for the others.

3.2 Pre- and post-measures

Table 2 displays absolute scores on standardized measures for pain catastrophizing, depression and pain problem solving before and after the MMI period as well as RCI and differences in SD. There were no reliable differences between pre- and post-ratings on pain catastrophizing and depression for any of the participants. Neither were there any significant changes on the accommodating subscales of the PaSol (ML and Acc subscales). On the subscales measuring assimilative coping (SP and BS subscales) participant 1, 2, 3 and 6 showed an increase towards assimilative coping while participant 5 showed a decrease.

4 Discussion

This single case experimental study aimed to explore if patients with chronic pain change in validation, alliance, pain catastrophizing, acceptance of pain and pain coping during the MMI process. Based on the theory of “misdirected problem solving” it was assumed that patients would report increased validation and alliance with the caregiver and that this would be accompanied by a positive change in pain coping style, acceptance of pain and decreased distress. This assumption could only partly be confirmed. The three of six patients who reported low baseline levels of validation and alliance indeed showed increased levels during the MMI. For these three patients the investigation process, and interaction with MMRP clinicians/team appears to have been experienced as validating and trustworthy as opposed to interactions before. However, the MMI procedure did not influence these patients’ pain coping approach, acceptance of pain and level of distress, with the exception of a trend of increasing acceptance during MMI in one of the patients. This lack of change was confirmed in the pre-post measures.

In line with the “misdirected problem solving” model we assumed that experience of validation and alliance would be a start for the patient to begin reframing their pain problem from a biomedical to a bio-psycho-social model. This broadened pain perspective would then hypothetically also have influenced acceptance of pain and distress levels. However, the results show that while validation and alliance were both already high and remained so, or did indeed improve, they were unrelated to patients’ acceptance of pain, problem framing and emotional distress. It must also be highlighted that three of the patients (P1, 4 and 6) experienced high validation and alliance already during phase A, this ceiling phenomenon did not allow for any further increase in alliance and validation, but nevertheless also in these cases acceptance of pain was almost unchanged during the MMI process. One conclusion from the results of this study may thus be that these variables were largely unaffected by the MMI procedure, opposed to what was hypothesized based on the theory. While these results are preliminary, and cannot be generalized to all chronic pain patients, they may indicate that the rather extensive MMI procedure was not exerting its assumed therapeutic effect and did not affect patients’ mood and coping approach to their pain. In fact, there were no significant improvements but in some case slight worsening with higher degree of pain catastrophizing, distress and dysfunctional pain management strategies after MMI.

One possible other explanation for lack of change is that we selected unrepresentative patients, resistant to change in attitudes. However, the patients in this study were typical pain patients with similar diagnoses, pain history and pain management approach as patients in other studies [28], [29]. While the fact that all participants were women could be viewed as a sign of unrepresentativeness, we interpret this rather as a random consequence of the consecutive recruitment procedure, as four of five patients referred to the clinic are females. Another explanation may be that we selected patients with relatively high values in pain catastrophizing and emotional distress, and that these variables are difficult to influence without specific intervention. These factors are known risk factors for the development and maintenance of chronic pain. They are also known to be stable and quite resistant to change [30], [31]. In fact, previous studies have shown that patients scoring high in both distress and catastrophizing have an elevated risk of not improving during rehabilitation as compared to other subgroups [29], [32]. Therefore, it could be that the therapeutic dose and method were insufficient to instill change in those patients. Related to this, an important reflection is that the assumption or goal of achieving therapeutic change during the MMI process on variables such as catastrophizing, pain coping and distress may not be a viable one. Indeed, the process may be too short, and lack important, more specific, cognitive and behavioral therapeutic methods that could influence these processes [33]. This is plausible, and a sufficient aim of an investigation could instead be to select and prepare patients for coming rehabilitation. This would be in line with a study of Habib et al. [6] showing that a brief motivational intervention increased engagement in pain management workshops. If so, the current form of the MMI procedure probably could be reformed to become more efficient and less time and resource consuming.

On the other hand, literature has shown changes in patients as a result of “therapeutic assessment” [34]. In contrast to traditional information-gathering psychological assessment therapeutic assessment is described as a brief intervention where the patient can get insight and change during the assessment process. Even if therapeutic assessment as described by Finn differs from multimodal assessment in pain patients, there are similarities. According to Finn the “assessors” (as in MMI) “hope to make the assessment experience a positive one and to help create positive changes in patients” [34], [35], [36] reflecting similarities regarding the goals in both therapeutic assessment and MMI. A third possibility then, could be that the MMI was in fact not therapeutic enough to bring about desired change in for example, acceptance of pain. It could be that the approach was the right one, but it was done with too little intensity or not comprehensive enough for these patients. Irrespectively, the lack of change in acceptance of pain, catastrophizing, depression, anxiety and pain coping when exploring these patients across a multimodal assessment raises important questions about the exact aim of the assessment procedure, and its subsequent form and function. This is an important issue as there are considerable resources devoted to relatively extensive MMI procedures in rehabilitation settings.

This study has some important limitations. The single case design restricts the confidence with which conclusions can be generalized to other pain patients and other clinics. The choice of the study design was based on the aim to explore the multimodal assessment, from an individual perspective. Besides there are no studies detailing the process of MMI so we considered an exploratory study with a single case design an appropriate first choice. Moreover, while we aimed to recruit patients consecutively to increase the likelihood of representativeness of typical clinic patients with chronic pain, there were several dropouts at the beginning that made the external validity uncertain. Future studies may use a group design to capture a truly representative sample. This study was conducted in a clinical setting. On the one hand this is a strength as it ensures a high degree of ecological validity, but on the other hand there was no opportunity to standardize, monitor or influence the exact content of the MMI. It therefore restricts the confidence with which these results can be generalized to other rehabilitation clinics, and opens for the possibility that the clinicians involved, while experienced and trained, may have provided a non-representative and suboptimal MMI.

In conclusion, we studied a clinically important group of pain patients with high levels of catastrophizing that underwent an evidenced based investigation method (MMI). The patients did not change their acceptance of pain nor their pain coping strategies despite their experience of good alliance and being validated during the MMI process. Since catastrophizing and distress also were unchanged we cannot conclude that the MMI of this patients were therapeutic. As seen from the theory of misdirected problem solving the results were unexpected. On the other hand, studies have shown that the acceptance of chronic pain is a process that takes time [37] and the MMI was therefore perhaps too short for change to occur. The results of this study underscore the need for specific management of the pain patients who in addition to their pain also suffer from psychological distress and catastrophizing thoughts. Specifically, the results suggest that more support than MMI in its current form is needed to alter these patients’ pain attitudes and coping models. Since the Acceptance and Commitment Therapy has shown good results as a treatment model for chronic pain [38], the principles guiding this treatment could be applied already in the investigation before MMRP. This study questions the value of MMI as a therapeutic intervention but even more so highlight the need for more research to increase knowledge of the key elements of the MMI process.

  1. Authors’ statements

  2. Research funding: The research was funded by MS’ employer – Region of Västmanland.

  3. Conflict of interest: There are no conflicts of interest.

  4. Informed consent: The participants gave informed consent before participating.

  5. Ethical approval: The study was approved by the Regional Ethical Board in Uppsala (D-nr 2012/305).

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Received: 2018-03-09
Revised: 2018-08-14
Accepted: 2018-08-17
Published Online: 2018-10-30
Published in Print: 2019-01-28

©2018 Scandinavian Association for the Study of Pain. Published by Walter de Gruyter GmbH, Berlin/Boston. All rights reserved.

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