Abstract
Purpose
This study tests the value of a measure of eating disorder (ED) psychopathology in predicting outcome following guided self-help in a non-underweight sample with regular binge eating. It examines whether early reductions in ED psychopathology are associated with remission status at post-treatment.
Methods
Seventy-two adults with bulimia nervosa, binge-eating disorder, or an atypical form of these illnesses received up to ten sessions of cognitive behaviour therapy-based guided self-help. Using a session-by-session measure of eating pathology and associated reliable change indices, response was analysed using receiver operating characteristic analysis to predict outcomes at post-treatment.
Results
In this routine care setting, nearly one-quarter of the sample achieved remission following GSH, approximately two-thirds of whom showed early change in ED psychopathology. Early change prior to session 6 was accurate in predicting later remission. Individuals showing early change did not differ from others on baseline characteristics or rates of attrition.
Conclusion
Data suggest that a majority of those who respond to treatment will do so before the second half of treatment, information that could be used to ensure that evidence-based treatments are used as effectively as possible.
Level of evidence
Level III.
Keywords: Guided self-help, Receiver operating characteristic, Treatment outcome, Binge eating
Introduction
Despite difficulties in accurately predicting outcome following psychological treatments, early symptom change (also known as rapid response) has emerged as a robust predictor across several psychiatric disorders, including eating disorders ([1, 2]; see [3] and [4] for reviews). Early changes in both behavioural symptoms and eating disorder (ED) psychopathology are associated with better outcomes following outpatient treatments based on cognitive behaviour therapy (CBT) [3, 4]. Those who make early change are around twice as likely to achieve remission compared to those who do not [5], a finding demonstrated in intensive outpatient treatment [6], as well as brief [7] and standard [2, 5, 8] CBT for EDs.
Guided self-help (GSH) based on CBT principles is a recommended first-line treatment for bulimia nervosa (BN), binge-eating disorder (BED), and atypical forms of these illnesses not meeting full diagnostic criteria [9, 10]). If GSH is unsuccessful, it is recommended that patients are offered an alternative, such as individual or group CBT. Distinguishing individuals who will benefit from continuation of GSH from those who might be ‘stepped up’ to a more intensive treatment is likely to be more cost-effective, offer wider patient choice, and improve outcomes for a greater number of patients [11, 12].
Studies in this area considering GSH have commonly focused on reduction in binge-eating frequency (typically using ≥ 65% reduction from baseline to the fourth treatment week; [13, 14]) to determine early change, perhaps given that many have focused on single disorders, predominantly BED [13–15]. Secondary analysis from randomised controlled trials has often been used, with less data available from routine care (or ‘real-world’) settings, and therefore may not reflect recommendations that GSH can be used for a variety of EDs (i.e., transdiagnostically).
Varying approaches have been used to study early change [15], resulting in substantial heterogeneity regarding the definition of early improvement and the timing of this change [4]. Assessing change through a measure of ED psychopathology, as opposed to behaviours, has the advantage of being applicable across ED diagnoses [16] as it is not restricted to certain features, such as objective binge eating, which may not be present in all individuals [17]. Further, greater ED psychopathology has been linked to treatment response [2, 5–8], future relapse [18], and is more strongly associated with ED-related impairment than behavioural symptoms [19]. In one study of a transdiagnostic sample of individuals receiving CBT [8], early improvements in psychopathology were associated with post-treatment outcome whereas binge eating and self-induced vomiting were not. Such findings have led to the conclusion that “early change in cognitive symptoms may be a stronger factor than behavioural change in predicting outcome in shorter [CBT-based] treatments” ([7], p. 65). However, no studies have yet looked at the predictive value of ED psychopathology within a sample receiving GSH in routine care.
The aims of the current study are to investigate whether (and the point[s] at which) changes in ED psychopathology predict remission in EDs characterised by recurrent binge eating following GSH treatment. We will compare the baseline characteristics of those who demonstrate change to those who do not. We will also look at a behavioural index of early change, specifically ≥ 65% reduction in binge eating at each week of treatment.
Method
Participants
Data were collected from participants (n = 77) who began GSH between September 2016 and May 2018 (the final participant ended treatment in June 2018). Each was referred to one of two regional centres for the treatment of EDs, part of the UK National Health Service (NHS), providing treatment to individuals registered with a local physician on a no-fee basis. The services are governed by the same NHS Trust although funding arrangements mean that they cover different geographical areas (based on where the patient’s primary care physician is located). Both were commissioned to provide treatment to adults with a diagnosis of an ED according to ICD-10 [20] or DSM-5 [21] criteria. As such, patient demographics are similar and some staff (see below) work across services.
Diagnoses were established according to DSM-5 criteria [21] by qualified clinicians following clinical interview and agreed upon during multidisciplinary team meetings. Although similar areas are covered by assessing clinicians, the clinical interview is not standardised. Conduct of the study was approved by the Oxford Health NHS Foundation Trust Quality and Audit Department and deemed not to require further ethical approval as it comprised an evaluation of routine practice involving retrospective, routinely collected, de-identified data. Five individuals were excluded from the study as they attended the first session of treatment and then either failed to attend again (n = 3) or declined further treatment (n = 2).
Measures
Baseline measures
At initial assessment with the service, participants completed:
The EDE-Q [22], a self-report measure of eating pathology covering the past 28 days. This questionnaire assesses both cognitive and behavioural aspects of EDs and can produce a total score (EDE-Q Global), which ranges from 0 to 6, with higher scores indicating greater ED psychopathology. The EDE-Q also produces frequency ratings of disordered eating behaviours (e.g., binge eating, self-induced vomiting). The EDE-Q Global has been supported as a reliable measure of symptoms representing the “‘common core’ of psychopathological features underpinning” an ED ([23], p. 201). McDonald’s ω (used to assess internal consistency reliability) was 0.87.
The Clinical Impairment Assessment questionnaire (CIA; [24]), a 16-item measure which assesses psychosocial impairment over the past 28 days. Participants rate the degree to which their ED symptoms have impacted aspects of their life (e.g., “made it difficult to concentrate”) on a scale of 0 (not at all) to 3 (a lot). Higher scores (range = 0–48) indicate greater impairment and McDonald’s ω was 0.90. The CIA has been shown to be a useful measure of impairment in similar, transdiagnostic, samples [25].
The Clinical Outcomes in Routine Evaluation-Outcome Measure (CORE-OM; [26]), a self-report measure of psychological distress which has been supported for use in ED samples [27]. It comprises 34 items asking participants to rate how frequently they have experienced each item (e.g., “I have felt tense, anxious or nervous”) over the last week. A total score is calculated as a mean of scores on all items (rated from 0 to 4), with higher scores indicating greater distress. McDonald’s ω was 0.93.
Weekly measurement
As part of treatment, participants were asked to complete the ED-15 [28], a brief self-report measure designed to assess session-by-session change in ED symptoms. Ten items assessing ED psychopathology (e.g., “Been preoccupied with thoughts of food and eating”) are scored on a 0–6 scale reflecting frequency over the past week in addition to five items regarding the frequency of disordered eating behaviours. The instrument’s developers suggest that two subscales (Weight and Shape Concerns; Eating Concerns) can be derived from the ten psychopathology items, in addition to a total score (the mean of these ten items), a model supported in a study of the instrument’s psychometric properties [29]. As correlations between the subscales were high (rs = 0.599), the Total score (McDonald’s ω at first session = 0.90) was used to assess psychopathology, similar to the study of Raykos et al. [5] using the EDE-Q Global. The ED-15 Total has been found to correlate strongly with the EDE-Q Global [28, 29], suggesting that they measure similar constructs.
Treatment
Participants were provided with a popular self-help book which provides psychoeducation and a CBT approach for the treatment of broadly defined (i.e., addressing both subjective and objective) binge eating [30]. Participants were asked to attend a local clinic, weekly at first, for guidance from one of four trained facilitators. Participants were asked to attend ten face-to-face sessions, provided over 12 weeks. Lasting 20–25 min, sessions occurred weekly at first, with the final two occurring fortnightly. Facilitators comprised junior psychologists working for the NHS who attended weekly supervision from clinical psychologists with experience providing CBT and GSH for EDs. Three facilitators provided treatment in both locations. The ethos behind the guidance is ‘programme-led’, with facilitators supporting patients to make change by offering support and encouragement and keeping a focus on changing eating behaviour [31].
Reliable and clinically significant change
Jacobson and Truax [32] proposed two metrics to evaluate the impact of psychological therapy. To be considered “recovered”, an individual must show reliable change—where observed change is unlikely to be due to measurement error—and clinically significant change—where scores on a measure move from ‘dysfunctional’ population norms to those of a ‘functional’ population. Reliable change was calculated following the suggested amendment of Christensen and Mendoza [33], whereby change greater than 1.96 times the standard error of the difference is unlikely to have occurred by chance. In the current study, minimum reliable change on the ED-15 Total was 1.34. Regarding calculation of clinically significant change, Tatham et al. [28] provide scores for both a non-clinical and clinical sample: mean (SD) ED-15 Total scores were 2.05 (1.33) and 4.24 (1.09), respectively. Given overlapping distributions of these samples, the midpoint between the two was chosen to represent clinical significance (Jacobson and Truax’s Method c; p. 13). The resulting value is 3.254, similar to 1SD above the mean of the non-clinical sample [34].
Remission classification
Remission was defined by the combination of demonstrating a healthy body mass index (BMI) (≥ 19.0 kg/m2), abstinence (no episodes of binge eating, vomiting, or laxative use at the final session according to the ED-15) and both reliable and clinically significant change on the ED-15. This method follows guidance for defining outcome in EDs [35] and adopts a BMI cutoff above which participants are unlikely to experience adverse effects of being ‘underweight’ [36].
Statistical analyses
Receiver operating characteristic (ROC) analysis was used to determine the point(s) at which change predicted remission at post-treatment. Specifically, the area under the curve (AUC) was used to obtain a probability that an individual who is deemed to have remitted at post-treatment will show change at a given point.
Chi-square or Fisher’s exact test (when sample sizes were small) were used for categorical data and non-parametric (Mann–Whitney U) tests for continuous data, given the presence of non-normality. ROC analysis is typically non-parametric and does not assume a normal distribution for the index test; it is therefore particularly well suited to hypothesis testing in routine care settings and less affected by issues such as non-normal distributions [37]. As a secondary aim, we report the timing of attrition—the point at which patients in GSH no longer attended for further sessions. The (non-parametric) Kaplan–Meier method was used to estimate timing of drop-out.
Sample size estimation
To investigate predictors of change using ROC analysis, at least 66 participants were desired [38], based on a power of 0.8, alpha level of 0.05, and AUC estimates from Nazar et al. [4].
Missing data
ED-15 Total data were missing completely at random (Little's MCAR, Χ2 (111) = 109.825, p = 0.514). To assess the possible impact of model misspecification [39], multiple imputation (with chained equations) of missing ED-15 Total data was conducted, regardless of why data were missing. Twenty imputed datasets were created, imputed at scale level given high internal consistency [40], with age, diagnosis, completer status, BMI, and baseline ED-15 Total as predictors of missing data, in addition to each subsequent ED-15 Total score. Results did not change the interpretation of data, with changes only in AUC estimates, not significance values. Data are therefore reported without imputation. It was not possible to calculate change indices for one individual who did not provide data for Session Two.
Timing of symptom change
To investigate predictors of remission at post-treatment, two methods of identifying change in ED psychopathology were tested: patients achieving clinically significant change on the ED-15 Total (i.e., scoring below 3.254) at each session; and patients achieving reliable change (i.e., a reduction in ED-15 Total scores of ≥ 1.34 from the first treatment session). As some patients did not provide data at Session One, we used data from Session Two where this was missing to represent the First Session of treatment, from which change scores were calculated. To investigate behavioural change, individuals were identified who showed ≥ 65% reduction in binge-eating frequency from baseline to each session they attended.
Results
Demographic and clinical characteristics
Participants ranged in age from 18 to 79 years (mean = 34.7, SD = 12.8). All had BMIs in the non-underweight range (> 18.5 kg/m2) and 93.1% were female. Mean (SD) duration of illness was 17.0 (13.4) years. Based on EDE-Q data at baseline (i.e., previous 28 days), mean (SD) binge eating frequency was 15.81 (10.05) episodes and mean (SD) Global score was 4.32 (0.90). Mean (SD) CIA total was 32.47 (8.43) and 1.95 (0.61) for the CORE-OM.
Of 72 individuals who commenced GSH, 50 completed all ten sessions and a further 4 completed treatment early; thus, attrition was 25.0%. ‘Early completers’ were patients who, following satisfactory response to treatment and progress through the programme, decided with the facilitator that further sessions were not required.1 On average, participants received 8.90 (2.15) sessions of support. Twenty-nine individuals (40.3%) reported abstinence at their final session and 22 (30.6%) were classified as “recovered” based on reliable change indices. Sixteen individuals (22.2%) reported both abstinence and recovery and were considered remitted for the purposes of this study. Remission was achieved by 10/38 (26.3%) individuals with BN, 3/12 (25.0%) of those with BED, and 3/22 (13.6%) of those with Other Specified Feeding and Eating Disorder (OSFED).
Predicting remission
Method 1: clinically significant change
As shown in Table 1, an ED-15 score below 3.254 prior to session 8 was significantly associated with remission at post-treatment, as was change prior to Session 10.
Table 1.
Session | ED-15 total < 3.254 (n) | AUC (95% CI) | Standard error | p value |
---|---|---|---|---|
First available (S1 or S2) | 13 | 0.496 (0.286–0.707) | 0.107 | 0.974 |
3 | 19 | 0.557 (0.344–0.770) | 0.109 | 0.596 |
4 | 22 | 0.575 (0.361–0.789) | 0.109 | 0.486 |
5 | 21 | 0.607 (0.396–0.818) | 0.108 | 0.320 |
6 | 28 | 0.604 (0.397–0.810) | 0.105 | 0.336 |
7 | 28 | 0.586 (0.378–0.793) | 0.106 | 0.426 |
8 | 23 | 0.793 (0.623–0.963) | 0.087 | 0.007 |
9 | 31 | 0.668 (0.478–0.857) | 0.097 | 0.119 |
10 | 31 | 0.750 (0.598–0.902) | 0.078 | 0.020 |
Method 2: reliable change
A decrease in ED-15 Total of at least 1.34 points before session 6 was associated with post‐treatment remission status (p = 0.007; AUC 95% CiIs 0.610–0.979; Table 2). Achieving reliable change at future sessions was associated with continued accuracy, except for change prior to session 7 which only approached significance (p = 0.055; 95% CiIs 0.505–0.910). ROC curves are presented in Fig. 1 and suggest that reliable change occurring prior to Session 6 can identify around two-thirds (11/16) of those who achieve remission.
Table 2.
Session | Reliable change (n) | AUC (95% CI) | Standard error | p value |
---|---|---|---|---|
2 | 4 | 0.531 (0.315–0.748) | 0.111 | 0.771 |
3 | 7 | 0.563 (0.344–0.782) | 0.112 | 0.561 |
4 | 5 | 0.581 (0.360–0.803) | 0.113 | 0.452 |
5 | 10 | 0.644 (0.428–0.861) | 0.111 | 0.182 |
6 | 17 | 0.794 (0.610–0.979) | 0.094 | 0.007 |
7 | 20 | 0.707 (0.505–0.910) | 0.103 | 0.055 |
8 | 18 | 0.844 (0.683–1.000) | 0.082 | 0.001 |
9 | 22 | 0.807 (0.639–0.976) | 0.086 | 0.005 |
10 | 24 | 0.852 (0.732–0.972) | 0.061 | 0.001 |
Method 3: behavioural change
A reduction in frequency of binge eating ≥ 65% from baseline was predictive of remission only prior to Session 6, and this metric otherwise appeared to be a poor predictor of remission (Table 3).
Table 3.
Session | ≥ 65% reduction in binge eating (n) | AUC (95% CI) | Standard error | p value |
---|---|---|---|---|
2 | 7 | 0.558 (0.390–0.726) | 0.086 | 0.481 |
3 | 15 | 0.567 (0.401–0.733) | 0.085 | 0.416 |
4 | 21 | 0.513 (0.351–0.676) | 0.083 | 0.871 |
5 | 18 | 0.500 (0.339–0.661) | 0.082 | 0.999 |
6 | 24 | 0.688 (0.533–0.842) | 0.079 | 0.023 |
7 | 26 | 0.589 (0.428–0.751) | 0.083 | 0.279 |
8 | 30 | 0.594 (0.434–0.753) | 0.081 | 0.255 |
9 | 31 | 0.625 (0.469–0.781) | 0.080 | 0.129 |
10 | 30 | 0.634 (0.478–0.790) | 0.080 | 0.104 |
Comparison of groups at baseline
Seventeen individuals achieved reliable change prior to Session 6 (Method 2). There were no significant differences between this group and remaining participants on baseline measures (Table 4).
Table 4.
Baseline variable | n | Mean (SD) | Differences between RC and ARC | ||
---|---|---|---|---|---|
RC | ARC | Mann–Whitney U | p value | ||
Age, years | 71 | 35.45 (15.31) | 34.55 (11.73) | 531.00 | 0.921 |
BMI, kg/m2 | 68 | 29.47 (6.98) | 31.08 (9.64) | 453.50 | 0.721 |
DOI, years | 58 | 16.28 (16.33) | 17.38 (12.10) | 316.00 | 0.459 |
No. of sessions | 71 | 9.64 (0.79) | 8.71 (2.30) | 463.00 | 0.241 |
EDE-Q | |||||
Global | 70 | 4.37 (0.67) | 4.26 (0.98) | 502.00 | 0.847 |
OBEs | 68 | 18.18 (10.29) | 14.87 (9.87) | 403.00 | 0.217 |
Self-induced vomiting | 69 | 14.23 (20.53) | 10.11 (18.30) | 451.00 | 0.382 |
Laxative use | 69 | 1.86 (4.22) | 2.70 (5.95) | 481.00 | 0.556 |
CORE-OM Total | 70 | 1.89 (0.46) | 1.96 (0.66) | 492.00 | 0.747 |
CIA Total | 68 | 33.81 (6.62) | 31.67 (9.12) | 425.00 | 0.433 |
Numbers differ as data were not complete for all participants
DOI duration of illness, ARC absence of reliable change group, RC reliable change group
Comparison of treatment outcomes
Those showing reliable change did not differ from others on rates of treatment completion (82.4% (14/17) v. 74.1% (40/54); p = 0.745, Fisher’s exact test) or number of treatment sessions received (Table 4). Those showing reliable change prior to Session 6 were significantly more likely than others to achieve remission at post-treatment (64.7% (11/17) v. 9.3% (5/54); χ2 (1) = 22.77, p < 0.001, Φ = 0.57).
Attrition
Figure 2 presents the survival curve, representing the sessions after which patients no longer attended GSH. As noted above, attrition rates were not related to early change status and Mann–Whitney U tests suggested no baseline differences between those who dropped out and those who completed treatment (Table 5).
Table 5.
Baseline variable | n | Mean (SD) | Group differences | ||
---|---|---|---|---|---|
Dropped out | Completed | Mann–Whitney U | p value | ||
Age, years | 72 | 33.56 (9.53) | 35.09 (13.76) | 486.00 | 0.999 |
BMI, kg/m2 | 68 | 30.08 (10.87) | 30.78 (8.29) | 380.50 | 0.453 |
DOI, years | 58 | 15.69 (8.59) | 17.42 (14.57) | 286.50 | 0.911 |
EDE-Q | |||||
Global | 70 | 4.22 (0.80) | 4.35 (0.94) | 393.50 | 0.317 |
OBEs | 68 | 15.13 (11.32) | 16.02 (9.74) | 385.00 | 0.653 |
Self-induced vomiting | 70 | 7.33 (9.42) | 13.10 (21.11) | 424.50 | 0.548 |
Laxative use | 70 | 5.50 (9.81) | 1.85 (3.95) | 363.00 | 0.077 |
CORE-OM total | 70 | 1.92 (0.69) | 1.97 (0.59) | 431.50 | 0.624 |
CIA total | 68 | 34.29 (8.79) | 31.86 (8.30) | 345.00 | 0.210 |
Numbers differ as data were not complete for all participants
DOI duration of illness
Discussion
The current study extended previous research looking at early symptom change in GSH for EDs characterised by recurrent binge eating. Participants who showed improvements in ED psychopathology before the sixth session of treatment were more likely to achieve remission at post-treatment compared to those who did not. Taken alongside studies of longer forms of CBT for EDs [2, 5], the findings reinforce the view that early response remains “the only consistent indicator of optimal prognosis across treatments” ([5], p. 767).
The current study, which extends analysis of early change to a transdiagnostic sample of individuals receiving GSH, found no baseline differences between rapid responders and others. Rates of attrition (at around 25%) were similar across groups. As previous authors have noted, those who demonstrate early change are not merely “easy” cases who can be identified according to clinical severity ([13], p. 388), a conclusion partially supported by the high levels of symptom and impairment noted in this sample.
The findings could have potential to expediently identify individuals who respond well to low-intensity treatments for binge eating and thus inform stepped care models for ED treatment [9, 10]. Use of a measure of ED psychopathology suggested that around one-quarter of patients who start treatment can be accurately classed as rapid responders [5], although this proportion is lower than in other studies using behavioural criteria [14, 15]. Assessing early change in such a way (as opposed to a behavioural index) can be implemented across samples of mixed ED groups [5, 12] to predict treatment response and may be particularly useful in routine care situations where mixed diagnostic groups present for treatment. Further, in the current study, behavioural change was a poor predictor of outcome, although it is notable that the only significant association which emerged was also prior to Session 6, suggesting that there is an association between early cognitive and behavioural change [8].
Rates of attrition seen in the current study are similar to those from systematic reviews [41]. Whilst numbers were small, the present findings suggest that attrition occurs over the course of treatment, although a large number failed to attend the final session (i.e., after Session 9, which was the modal number). Given the limited data available, it is difficult to form conclusions but this could reflect avoidance towards the end of treatment or that participants had made sufficient gains that they did not feel a final session was necessary [42]. Similar patterns have been observed in group-based CBT for atypical EDs [43] although other literature suggests that attrition tends to occur earlier in treatment [44] and reviews in this area have noted the limited data on the timing of dropout [41].
Identifying how best to help individuals who do not show early change should remain a research priority. More intensive treatment is an option, and several CBT-based interventions for EDs consider ‘therapeutic termination’ of treatment if patients appear unable to commit to goals around change [45, 46]. The current study suggests that limited change prior to Session 6 of GSH could be used to prompt such a discussion, and the findings might inform further research looking at patients who benefit from a ‘therapeutic termination’ and those who may require more intensive treatment.
Some limitations of the study are notable. Although a comprehensive definition of remission was used, including both behavioural and cognitive symptoms, the timeframe was short and limited by self-report, thus not representing the “gold standard” of assessing outcome in such designs [47]. Overlaps in the measures used may have provided artefactual correlation towards the end of treatment, although findings regarding early change are in line with previous work [3]. The study was also limited by recruitment from one NHS Trust and provided GSH with ten sessions of support, more than some GSH studies [15], which may have influenced the findings. The sample was intended to represent a transdiagnostic sample characterised by regular binge eating (broadly defined), but small numbers limit generalisation across the range of EDs, particularly OSFED. Given the paucity of validated session-by-session measures in EDs, further studies are required to confirm the psychometric properties of the ED-15 and similar measures [28] and to replicate the findings presented here.
In summary, the current study offers support for use of an easily computed measure of symptom change in GSH that may be useful in informing stepped-care models [9, 10]. Monitoring ED psychopathology throughout treatment can help clinicians focus on helping patients achieve early change [2] and consider tailored approaches for those who are likely to respond more slowly [3, 5]. Conducting a formal review after around 4 weeks of treatment has been recommended for this purpose [7].
What is already known on this subject?
Early behavioural change has been consistently associated with positive outcomes following treatment for EDs. However, early change in ED psychopathology has been given less attention with limited exploration of this variable in guided self-help treatment.
What this study adds
This study extends findings regarding the predictive ability of early change in ED treatment to include a guided self-help approach. Change in ED psychopathology prior to Session 6 of treatment accurately predicted remission in a transdiagnostic sample. The study has implications for stepped care models of treatment, including early (non-)response.
Acknowledgements
We would like to thank Dr. Laurie Zandberg for her advice and discussion in the early stages of preparing this manuscript.
Funding
This work was supported by resources from Oxford Health NHS Foundation Trust but did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
All procedures were in accordance with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Conduct of the study was approved by the Oxford Health NHS Foundation Trust Quality and Audit Department.
Informed consent
Informed consent was not sought as this study considered collation of retrospective, routinely-collected data.
Availability of data and material
To protect participant confidentiality and due to ethical reasons (participants were not advised that this would be the case), supporting data cannot be made available.
Footnotes
These individuals ended treatment after 6, 7, 8, and 9 sessions respectively.
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Lutz W, Stulz N, Köck K. Patterns of early change and their relationship to outcome and follow-up among patients with major depressive disorders. J Affect Disord. 2009;18:60–68. doi: 10.1016/j.jad.2009.01.019. [DOI] [PubMed] [Google Scholar]
- 2.Turner H, Marshall E, Wood F, Stopa L, Waller G. CBT for eating disorders: the impact of early changes in eating pathology on later changes in personality pathology, anxiety and depression. Behav Res Ther. 2016;77:1–6. doi: 10.1016/j.brat.2015.11.011. [DOI] [PubMed] [Google Scholar]
- 3.Linardon J, Brennan L, de la Piedad GX. Rapid response to eating disorder treatment: a systematic review and meta-analysis. Int J Eat Disord. 2016;4:905–919. doi: 10.1002/eat.22595. [DOI] [PubMed] [Google Scholar]
- 4.Nazar BP, Gregor LK, Albano G, Marchica A, Lo Coco G, Cardi V, Treasure J. Early response to treatment in eating disorders: a systematic review and a diagnostic test accuracy meta-analysis. Eur Eat Disord Rev. 2017;25:67–79. doi: 10.1002/erv.2495. [DOI] [PubMed] [Google Scholar]
- 5.Raykos BC, Watson HJ, Fursland A, Byrne SM, Nathan P. Prognostic value of rapid response to enhanced cognitive behavioral therapy in a routine clinic sample of eating disorder outpatients. Int J Eat Disord. 2013;46:764–770. doi: 10.1002/eat.22169. [DOI] [PubMed] [Google Scholar]
- 6.Walker DC, Donahue JM, Heiss S, Gorrell S, Anderson LM, Brooks JM, Ehrlich EP, Morison JN, Anderson DA. Rapid response is predictive of treatment outcomes in a transdiagnostic intensive outpatient eating disorder sample: a replication of prior research in a real-world setting. Eat Weight Disord. 2020 doi: 10.1007/s40519-020-00939-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Pellizzer ML, Waller G, Wade TD. Predictors of outcome in cognitive behavioural therapy for eating disorders: an exploratory study. Behav Res Ther. 2019;116:61–68. doi: 10.1016/j.brat.2019.02.005. [DOI] [PubMed] [Google Scholar]
- 8.Turner H, Bryant-Waugh R, Marshall E. The impact of early symptom change and therapeutic alliance on treatment outcome in cognitive-behavioural therapy for eating disorders. Behav Res Ther. 2015;73:165–169. doi: 10.1016/j.brat.2015.08.006. [DOI] [PubMed] [Google Scholar]
- 9.National Institute for Health and Clinical Excellence (NICE) Eating disorders: recognition and treatment (guideline NG69) Manchester: NICE; 2017. [PubMed] [Google Scholar]
- 10.Perkins SJ, Murphy R, Schmidt U, Williams C. Self-help and guided self-help for eating disorders. Cochrane Database Syst Rev. 2006 doi: 10.1002/14651858.CD004191.pub2. [DOI] [PubMed] [Google Scholar]
- 11.Wilson GT, Vitousek KM, Loeb KL. Stepped care treatment for eating disorders. J Consult Clin Psychol. 2000;68:564–572. doi: 10.1037/0022-006X.68.4.564. [DOI] [PubMed] [Google Scholar]
- 12.Dingemans AE, van Son GE, Aardoom JJ, Bruidegom K, Landt MCS, van Furth EF. Predictors of psychological outcome in patients with eating disorders: a routine outcome monitoring study. Int J Eat Disord. 2016;49:863–873. doi: 10.1002/eat.22560. [DOI] [PubMed] [Google Scholar]
- 13.Grilo CM, White MA, Masheb RM, Gueorguieva R. Predicting meaningful outcomes to medication and self-help treatments for binge-eating disorder in primary care: the significance of early rapid response. J Consult Clin Psychol. 2015;83:387–394. doi: 10.1037/a0038635. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Masheb RM, Grilo CM. Rapid response predicts treatment outcomes in binge eating disorder: implications for stepped care. J Consult Clin Psychol. 2007;75:639–644. doi: 10.1037/0022-006X.75.4.639. [DOI] [PubMed] [Google Scholar]
- 15.Vaz AR, Conceição E, Machado PPP. Early response as a predictor of success in guided self-help treatment for bulimic disorders. Eur Eat Disord Rev. 2014;22:59–65. doi: 10.1002/erv.2262. [DOI] [PubMed] [Google Scholar]
- 16.Hilbert A, Herpertz S, Zipfel S, Tuschen-Caffier B, Friederich H-C, Mayr A, Crosby RD, de Zwaan M. Early change trajectories in cognitive-behavioral therapy for binge-eating disorder. Behav Ther. 2019;50:115–125. doi: 10.1016/j.beth.2018.03.013. [DOI] [PubMed] [Google Scholar]
- 17.Mond JM, Latner JD, Hay PH, Owen C, Rodgers B. Objective and subjective bulimic episodes in the classification of bulimic-type eating disorders: another nail in the coffin of a problematic distinction. Behav Res Ther. 2010;48:661–669. doi: 10.1016/j.brat.2010.03.020. [DOI] [PubMed] [Google Scholar]
- 18.Keel PK, Dorer DJ, Franko DL, Jackson SC, Herzog DB. Postremission predictors of relapse in women with eating disorders. Am J Psychiatry. 2005;162:2263–2268. doi: 10.1176/appi.ajp.162.12.2263. [DOI] [PubMed] [Google Scholar]
- 19.Jenkins PE, Staniford J, Luck A. Symptoms predicting psychosocial impairment in bulimia nervosa. Eat Weight Disord. 2018;23:665–671. doi: 10.1007/s40519-017-0397-6. [DOI] [PubMed] [Google Scholar]
- 20.Word Health Organization (1992) The ICD-10 classification of mental and behavioural disorders: clinical descriptions and diagnostic guidelines, vol 1. World Health Organization. https://apps.who.int/iris/handle/10665/37958. Accessed 10 Oct 2020
- 21.American Psychiatric Association . Diagnostic and statistical manual of mental disorders (DSM-5) Washington: American Psychiatric Association; 2013. [Google Scholar]
- 22.Fairburn CG, Beglin S. Eating Disorder Examination Questionnaire (EDE-Q 6.0) In: Fairburn CG, editor. Cognitive behavior therapy and eating disorders. New York: Guilford Press; 2008. pp. 309–313. [Google Scholar]
- 23.Friborg O, Reas DL, Rosenvinge JH, Rø Ø. Core pathology of eating disorders as measured by the Eating Disorder Examination Questionnaire (EDE-Q): the predictive role of a nested general (g) and primary factors. Int J Methods Psychiatr Res. 2013;22:195–203. doi: 10.1002/mpr.1389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Bohn K, Fairburn CG. The Clinical Impairment Assessment Questionnaire (CIA) In: Fairburn CG, editor. Cognitive behavior therapy and eating disorders. New York: Guilford Press; 2008. pp. 315–316. [Google Scholar]
- 25.Jenkins PE. Psychometric validation of the clinical impairment assessment in a UK eating disorder service. Eat Behav. 2013;14:241–243. doi: 10.1016/j.eatbeh.2012.12.001. [DOI] [PubMed] [Google Scholar]
- 26.Barkham M, Margison F, Leach C, Lucock M, Mellor-Clark J, Evans C, Benson L, Connell J, Audin K, McGrath G. Service profiling and outcomes benchmarking using the CORE-OM: toward practice-based evidence in the psychological therapies. J Consult Clin Psychol. 2001;69:184–196. doi: 10.1037/0022-006X.69.2.184. [DOI] [PubMed] [Google Scholar]
- 27.Jenkins PE, Turner HM. An investigation into the psychometric properties of the CORE-OM in patients with eating disorders. Counsel Psychother Res. 2014;14:102–110. doi: 10.1080/14733145.2013.782057. [DOI] [Google Scholar]
- 28.Tatham M, Turner H, Mountford VA, Tritt A, Dyas R, Waller G. Development, psychometric properties and preliminary clinical validation of a brief, session-by-session measure of eating disorder cognitions and behaviors: the ED-15. Int J Eat Disord. 2015;48:1005–1015. doi: 10.1002/eat.22430. [DOI] [PubMed] [Google Scholar]
- 29.Rodrigues T, Vaz AR, Silva C, Conceição E, Machado PPP. Eating Disorder-15 (ED-15): factor structure, psychometric properties, and clinical validation. Eur Eat Disord Rev. 2019;27:682–691. doi: 10.1002/erv.2694. [DOI] [PubMed] [Google Scholar]
- 30.Fairburn CG. Overcoming binge eating. 2. New York: Guilford Press; 2013. [Google Scholar]
- 31.Fairburn CG. Guided self-help for bulimia nervosa: therapist’s manual. Oxford: University of Oxford; 1999. [Google Scholar]
- 32.Jacobson NS, Truax P. Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. J Consult Clin Psychol. 1991;59:12–19. doi: 10.1037/0022-006X.59.1.12. [DOI] [PubMed] [Google Scholar]
- 33.Christensen L, Mendoza JL. A method of assessing change in a single subject: an alteration of the RC index. Behav Ther. 1986;17:305–308. doi: 10.1016/S0005-7894(86)80060-0. [DOI] [Google Scholar]
- 34.Nietzel MT, Russell RL, Hemmings KA, Gretter ML. Clinical significance of psychotherapy for unipolar depression: a meta-analytic approach to social comparison. J Consult Clin Psychol. 1987;55:156–161. doi: 10.1037/0022-006X.55.2.156. [DOI] [PubMed] [Google Scholar]
- 35.Bardone-Cone AM, Harney MB, Maldonado CR, Lawson MA, Robinson DP, Smith R, Tosh A. Defining recovery from an eating disorder: conceptualization, validation, and examination of psychosocial functioning and psychiatric comorbidity. Behav Res Ther. 2010;48:194–202. doi: 10.1016/j.brat.2009.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Fairburn CG. Cognitive behavior therapy and eating disorders. New York: Guilford Press; 2008. [Google Scholar]
- 37.Youngstrom EA. A primer on receiver operating characteristic analysis and diagnostic efficiency statistics for pediatric psychology: we are ready to ROC. J Pediatr Psychol. 2014;39:204–221. doi: 10.1093/jpepsy/jst062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Goksuluk D, Korkmaz S, Zararsiz G, Karaağaoğlu AE. easyROC: an interactive web-tool for ROC curve analysis using R language environment. R J. 2016;8:213–230. doi: 10.32614/RJ-2016-042. [DOI] [Google Scholar]
- 39.Karakaya J, Karabulut E, Yucel RM. Sensitivity to imputation models and assumptions in receiver operating characteristic analysis with incomplete data. J Stat Comput Simul. 2015;85:3498–3511. doi: 10.1080/00949655.2014.983111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Graham JW. Missing data analysis: making it work in the real world. Ann Rev Psychol. 2009;60:549–576. doi: 10.1146/annurev.psych.58.110405.085530. [DOI] [PubMed] [Google Scholar]
- 41.Linardon J, Hindle A, Brennan L. Dropout from cognitive-behavioral therapy for eating disorders: a meta-analysis of randomized, controlled trials. Int J Eat Disord. 2018;51:381–391. doi: 10.1002/eat.22850. [DOI] [PubMed] [Google Scholar]
- 42.Gutner CA, Gallagher MW, Baker AS, Sloan DM, Resick PA. Time course of treatment dropout in cognitive behavioral therapies for posttraumatic stress disorder. Psychol Trauma. 2016;8:115–121. doi: 10.1037/tra0000062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Riesco N, Agüera Z, Granero R, Jiménez-Murcia S, Menchón JM, Fernández-Aranda F. Other specified feeding or eating disorders (OSFED): clinical heterogeneity and cognitive-behavioral therapy outcome. Eur Psychiatry. 2018;54:109–116. doi: 10.1016/j.eurpsy.2018.08.001. [DOI] [PubMed] [Google Scholar]
- 44.Carter O, Pannekoek L, Fursland A, Allen KL, Lampard AM, Byrne SM. Increased wait-list time predicts dropout from outpatient enhanced cognitive behaviour therapy (CBT-E) for eating disorders. Behav Res Ther. 2012;50:487–492. doi: 10.1016/j.brat.2012.03.003. [DOI] [PubMed] [Google Scholar]
- 45.Waller G, Turner HM, Tatham M, Mountford VA, Wade TD. Brief cognitive behavioural therapy for non-underweight patients: CBT-T for eating disorders. Abingdon: Routledge; 2019. [Google Scholar]
- 46.Jenkins PE. Can temporary cessation of CBT really be therapeutic? A case study. Cogn Behav Ther. 2017;10:e8. doi: 10.1017/S1754470X17000101. [DOI] [Google Scholar]
- 47.Pepe MS. Receiver operating characteristic methodology. J Am Stat Assoc. 2000;95:308–311. doi: 10.1080/01621459.2000.10473930. [DOI] [Google Scholar]