Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2025 May 1.
Published in final edited form as: J Nerv Ment Dis. 2024 May 1;212(5):289–294. doi: 10.1097/NMD.0000000000001719

Written imaginal exposure for hoarding disorder: A preliminary pilot study

Katie Fracalanza 1,*, Hannah Raila 1,2,*, Tatevik Avanesyan 1, Carolyn I Rodriguez 1
PMCID: PMC11008768  NIHMSID: NIHMS1924398  PMID: 38598729

Abstract

Hoarding disorder (HD) is marked by difficulty discarding possessions. Many refuse treatment or dropout, which may be due to treatment's incorporation of in-home decluttering, which is feared and avoided. Thus, strategies to prepare patients for decluttering/discarding are needed. Imaginal exposure (IE), or imagining one’s worst fears about discarding, could be one such strategy. This pilot preliminarily tested a short-duration IE intervention compared to a control intervention. Over three days, adults diagnosed with HD (N = 32) were randomly assigned to either write about and imagine their worst fears about discarding (IE Condition) or a neutral topic (Control Writing [CW] Condition). The IE Condition showed significant improvements in HD symptoms from pre-intervention to one-week follow-up, with medium to large effects; however, the CW Condition did as well. Comparing change scores between conditions, the IE Condition's improvements were not significantly different than the CW Condition's. Overall, IE was helpful in improving HD symptoms, but this pilot did not indicate that it was more helpful than control writing. This raises important questions about possible demand characteristics, placebo effects, or regression to the mean; and it has implications for the design and methodology of other studies assessing IE’s utility.

Keywords: hoarding disorder, imaginal exposure, cognitive behavioral therapy, writing


Hoarding disorder (HD) is a common and debilitating mental illness that causes personal disability and poses significant health and safety risks (APA, 2014; Tolin et al., 2008). It is marked by difficulty discarding possessions, which results in clutter that often makes living spaces unusable (APA, 2014; Tolin et al., 2008). Cognitive behavioral therapy (CBT) improves symptoms of HD for many (Tolin et al., 2015), but a considerable proportion refuse treatment (44%; Steketee et al., 2010) or drop out of treatment prematurely (10-29%; Steketee et al., 2010; Saxena et al., 2011). In addition to primary symptoms around difficulty discarding, people with HD have a host of other concomitant difficulties such as sleep disturbance and poor nutrition (Frost et al., 2012; Mahnke et al., 2021). Research is needed to develop alternative approaches for helping people with HD who are not ready to engage in CBT or who do not have access to it.

Imaginal exposure is an intervention strategy shown to improve symptoms of worry, anxiety disorders, and OCD (Abramowitz, 2018; Robichaud & Dugas, 2015). It involves repeatedly evoking mental images of feared and avoided scenarios for sustained periods to practice tolerating (vs avoiding) uncomfortable emotions and concerns. Imaginal exposure is can be used alongside or as a stepping stone to engaging in in-vivo (i.e., "real life") exposure (Whiteside et al., 2022), in part because it is more tolerable to imagine a feared scenario than to confront one in-vivo. The combination of imaginal and in-vivo can be superior to in-vivo alone (Abramowitz, 1996; Hunt & Fenton, 2007), although expert clinicians advise against stopping with only an imaginal exposure when in-vivo is also possible (Gillihan et al., 2012; Emmelkamp, 2004). One situation especially appropriate for imaginal exposure is when the fear is far in the future and cannot logically be disconfirmed (e.g., one is punished for discarding a receipt now needed for their taxes; Gillihan et al., 2012). Thus, imaginal exposure may be useful alongside gold-standard interventions like in-vivo exposure. Despite suggestions from CBT researchers that imaginal exposure could reduce hoarding behaviors (Tolin, Frost, & Steketee, 2007), imaginal exposure's impact on HD remains unknown.

There are many modalities to facilitate imaginal exposure, including through writing, recording audio, or speaking with a therapist. All of these have elicited significant symptom improvements in anxiety disorders and OCD, as well as in underlying processes (e.g., emotional avoidance; Berman et al., 2021; Foa et al., 1980; Fracalanza et al., 2014). Certain studies have found that varying the imagined feared scenario is beneficial (Lang & Craske, 2000), while others have found that consistent exposure to the same feared scenario is preferable (Sloan et al., 2005). It has been suggested that complex mental images (e.g., picturing a several-minute feared scenario) are more amenable to repetition while simple images (e.g., picturing a snake) are more amenable to varied content (Fracalanza et al., 2014); picturing imagined discarding scenario entails more complex mental imagery.

Imaginal exposure is often included as part of evidence-based CBT practices (Dugas & Robichaud, 2007). Only a few studies have examined imaginal exposure as standalone techniques, and the methods used in these studies have varied considerably – from, for GAD, twelve one-hour therapy sessions (Provencher et al., 2004) to five 30-minute writing sessions (Goldman et al., 2007). Indeed, researchers have called for the need to test a range of procedural variants to determine which variation yields the greatest impact (Fracalanza et al., 2014).

A previous non-controlled case series found preliminary evidence in support of imaginal exposure for HD (Fracalanza et al., 2021), which was demonstrated to be feasible, useful, and associated with symptom improvement. This initial case series used the same written imaginal exposure approach described in the present study (i.e., writing about a feared discarding scenario for 20 minutes per day on three consecutive days), with the exception that this previous study was administered in an in-person group format rather than remotely. This suggested that imaginal exposure for HD merited further clinical investigation, with a controlled pilot study being a sensible next step.

Based on these previous studies, the present study investigates whether written imaginal exposure yields greater improvement in HD symptoms, particularly self-reported difficulty discarding, compared to a control writing condition. This study also explores the impact of imaginal exposure on two underlying HD processes: emotional avoidance and intolerance of uncertainty, both of which have been associated with HD (Wheaton et al., 2016; Wheaton et al., 2011). Emotional avoidance is the unwillingness to endure unpleasant internal experiences, which can lead to attempts to suppress negative affect (Berman et al., 2010), and exposure to such unpleasant affect via imaginal exposure may help to reduce emotional avoidance. Intolerance of uncertainty is the tendency to exhibit negative responses to uncertain situations, which may underlie a difficulty making decisions about which items to discard. Indeed, HD patients commonly report saving possessions because they are unsure if the items will be needed in the future (Wheaton et al., 2016). Tolerating the distress of uncertainty via imaginal exposure may help reduce intolerance of it.

The present study is the first known randomized controlled pilot trial to test imaginal exposure for HD. If imaginal exposure yields significant symptom improvement that surpasses that of control writing, this would provide evidence of imaginal exposure as a promising novel treatment for HD. If it yields non-significant symptom change or change equivalent to that of control writing, this would fail to demonstrate efficacy of imaginal exposure for HD and could speak to either exploration of alternative novel approaches, or to the need for future studies of imaginal exposure for HD to use a different instructional approach than that used here.

Method

Participants

Interested individuals were invited to participate if they were over 18; diagnosed with HD via the SCID-5-RV HD module administered by postdoctoral psychologists or psychiatrists (First et al., 2015); reported clinically significant hoarding symptoms (Saving Inventory Revised [SIR] score ≥ 41); and had clutter that impaired living conditions as assessed via clinician-rated videoconferencing (Clutter Image Rating [CIR] score ≥ 4). Participants were excluded if they were at risk of suicide (Columbia Suicide Severity Rating Scale [C-SSRS] ≥ 3; Posner et al., 2011) or currently in CBT for HD. Psychotropic medication was allowed if the dose was stable for at least 4 weeks (8 weeks for fluoxetine) before study start. In total, 64 individuals were screened, and 37 met inclusion criteria. Five people screened dropped out before completing study measures, providing a final sample of 32 adults with HD.

Demographic information about the sample can be found in Table 1. The sample was predominantly female (87%), with a mean age of 52.91 (SD = 13.79; range 22-73). The mean SIR score (M = 62.50, SD = 12.45) of participants in the current study was comparable to that of other clinical HD samples (e.g., Kellman-McFarlane et al., 2019; Tolin et al., 2010). Most were recruited via online advertisements (83%), while others were recruited by invitation if they had participated in a prior study with the lab and indicated interest in additional studies.

Table 1.

Sample Characteristics by Condition (n=32)

Characteristic Imaginal Exposure (IE)
(n = 17)
Control Writing (CW)
(n = 15)
Age in years a - M (SD) 56.9 (10.7) 48.3 (15.7)
Sex - Frequency (%)
 Female 14 (82%) 14 (93%)
 Male 3 (18%) 1 (7%)
Race/Ethnicity - Frequency (%)
 White 8 (47%) 10 (67%)
 Black - -
 East Asian 4 (24%) 4 (27%)
 Southeast Asian - -
 Latin American 3 (18%) -
 Mixed Race 2 (12%) -
 Other Ethnicity - 1 (7%)
Highest Education - Frequency (%)
 High School Diploma - 3 (20%)
 College Diploma 6 (35%) -
 Bachelor’s Degree 6 (35%) 10 (67%)
 Master’s Degree 2 (12%) -
 Doctoral Degree 1 (6%) 1 (7%)
 Other 2 (12%) 1 (7%)
Employment Status - Frequency (%)
 Not working (including student) 5 (29%) 2 (13%)
 Employed (full or part-time) 9 (53%) 9 (60%)
 Retired 3 (18%) 4 (27%)
Marital Status - Frequency (%)
 Single 6 (35%) 9 (60%)
 Married/Common-law 9 (53%) 4 (27%)
 Divorced 2 (12%) 2 (13%)
 Widowed - -

Measures

To increase sensitivity to weekly change, all self-report questionnaires instructed participants to reflect on their experiences “in the past week.”

HD Measures

The Saving Inventory Revised (SIR; Frost et al., 2004) is the “gold standard” self-report measure of hoarding symptom severity, comprised of three subscales: clutter severity, difficulty discarding, and excessive acquisition. It has excellent internal consistency and good test-retest reliability. A single composite score ranges from 0 to 92, with higher scores indicating greater severity. Internal consistency in the present study was good, α = .93.

The Saving Cognitions Inventory (SCI; Steketee et al., 2003) is a self-report measure of beliefs related to discarding possessions, e.g., over-responsibility for items and reliance on items for memory. It includes cognitions across four subscales: emotional attachment to items, over-responsibility for items, reliance on items for memory, and need for control over items. The SCI has demonstrated good internal consistency (Steketee et al., 2003) and is a significant predictor of hoarding behaviors (Wheaton et al., 2011). A single composite score ranges from 24 to 168. Internal consistency in the present study was good, α = .96.

The Compulsive Acquisition Scale (CAS; Frost et al., 2002) is a self-report measure of the degree to which one feels compelled to acquire possessions. The CAS has good reliability and discriminates compulsive buyers from controls (Frost et al., 2002, Kyrios et al., 2004). A single composite score ranges from 18 to 126. Internal consistency in the present study was good, α = .96.

The Clutter Image Rating Scale (CIR; Frost et al., 2008) is a rating of home clutter, administered virtually by independent evaluators. On a scale of 1-9, degree of clutter is matched to one of nine photographs depicting various levels of clutter; this is done for several rooms in the home. A score of 4 or more in a room indicate clinically significant clutter requiring clinical attention. The CIR has demonstrated high internal consistency, test-retest reliability, and inter-rater reliability (Frost et al., 2008). Here, a CIR Total score was calculated by averaging the room scores of the three types of rooms that all participants had (a kitchen, a living room, and a bedroom), for a composite score that ranges from 1 to 9.

Transdiagnostic Process Measures

The Intolerance of Uncertainty Scale (IUS; Buhr & Dugas, 2002) is a self-report measure of distress in the face of uncertainty. It has demonstrated excellent internal consistency, good test-retest reliability, and construct validity (Sexton & Dugas, 2009). A single composite score ranges from 27 to 135, with higher scores indicating greater intolerance. Internal consistency in the present study was good, α = .98

The Acceptance and Action Questionnaire-II (AAQ-II; Hayes et al., 2004; Bond et al., 2011) is a 7-item measure of emotional avoidance. The AAQ-II has shown good internal consistency, reliability, and convergent validity (Bond et al., 2011). A single composite score ranges from 7 to 49, with higher scores indicating greater emotional avoidance. Internal consistency in the present study was good, α = .95

Procedure

Random Assignment to Experimental Conditions

Participants were randomly assigned to the Imaginal Exposure Condition (IE; n = 17) or the Control Writing (CW; n = 15) Condition. Participants in both conditions wrote for 20 minutes on three consecutive days, based on a meta-analysis showing that 15 or more minutes of writing over three or more days has significant and large positive effects on a range of psychological outcomes, while writing for fewer days has smaller effects (Frattaroli, 2006). Participants were sent writing instructions daily, on the three consecutive days, via a link. Instructions noted that participants were required to stay focused on their assigned writing topic, write at least 250 words, and that the writing must be timestamped for at least 20 minutes.

Writing Procedures

Imaginal Exposure (IE).

The IE writing instructions were similar to those from prior research on written IE for generalized anxiety and worry, wherein participants are asked to write about their worst-case scenario coming true in the first person, present tense, and with reference to their emotional experiences, thoughts, and sensations (Fracalanza et al., 2014; Goldman et al., 2007). Instructions were modified from this prior research to ask participants to write about their worst case scenario related to discarding a possession(s), to ensure relevance to HD concerns specifically. For example, “I donated a jacket that I really like, and now that it’s getting cold, I need to spend money that I don’t have just to replace it. I’m so anxious about spending money and feel angry at myself for parting with it.” Per prior research on optimizing the effectiveness of brief IE (e.g., Fracalanza et al., 2014), participants wrote about the same scenario on all three days. These instructions were also previously used in an initial case series on IE for HD (Fracalanza et al., 2021).

Control Writing (CW).

The control group was asked to write about what they would do if they found out that they had a day off. They were asked to write in a factual manner, with no references to emotions or opinions, as per the control procedure in other written imaginal exposure studies (e.g., Frattaroli, 2006; Goldman et al., 2007). For example, “I get up in the morning and check my emails. I respond to the many unread messages. Then I get my things ready and head out to the beach. I decide to walk there.” All participants wrote about their assigned topics, as reviewed by two independent evaluators (KF and TA).

Assessments

Participants completed the same battery of self-report questionnaires immediately before writing on Day 1 (pre), immediately after writing on Day 3 (post), and on Day 10, one week after the intervention (follow-up). The battery included HD measures (SIR, SCI, CAS, CIR) and transdiagnostic process measures (IUS, AAQ-II). To examine longer-term impact, pre to follow-up was examined.

Interaction with Study Staff

Study staff first interacted with participants through Zoom during the screening process (at which time study staff explained the study procedures to participants) and whenever participants required assistance with study tasks. Throughout the study, study staff and participants maintained regular email communication.

Results

We tested whether written imaginal exposure (the IE Condition) improved HD symptoms and related processes relative to control writing (the CW Condition). Pre and follow-up scores on all measures, in both conditions, are shown in Table 2.

Table 2.

Means and Standard Deviations of HD Symptoms and Processes by Condition (n=32)

Measure Time Imaginal Exposure (IE) (n
= 17)
Control Writing (CW)
(n = 15)
Saving Inventory Revised (SIR) Total Score Pre 62.41 (13.22) 62.60 (11.97)
Follow-up 53.41 (16.87) 52.00 (14.05)
Saving Inventory Revised (SIR-DD) Difficulty Discarding Subscale Pre 20.65 (4.46) 20.13 (4.19)
Follow-up 18.06 (5.52) 17.47 (5.59)
Saving Cognitions Inventory (SCI) Pre 96.76 (35.47) 99.87 (36.33)
Follow-up 86.88 (45.04) 77.33 (42.83)
Compulsive Acquisition Scale (CAS) Pre 62.88 (29.59) 57.93 (27.68)
Follow-up 56.76 (30.47) 47.47 (23.52)
Clutter Image Rating (CIR) Total Score Pre 3.88 (1.46) 3.82 (1.72)
Follow-up 3.39 (1.51) 3.38 (1.55)
Intolerance of Uncertainty Scale (IUS) Pre 68.47 (31.63) 72.27 (28.86)
Follow-up 65.06 (33.27) 65.47 (30.21)
Acceptance and Action Questionnaire (AAQ-II) Pre 24.94 (12.40) 28.33 (10.93)
Follow-up 22.06 (12.47) 22.13 (11.87)

To test whether these pre to follow-up changes were significant in each of the two conditions, we used paired-sample t-tests. Examining pre to follow-up change scores in HD symptoms in the IE Condition, we found significant improvements in SIR-Total, SIR-DD, CAS, and CIR scores, ps < .030, though non-significant improvement in SCI score, p = .053. However, unexpectedly, we also found significant improvements in the CW Condition on these measures, including on the SCI, p = .012. Examining pre to follow-up change scores in transdiagnostic processes in the IE Condition, we found no significant improvements, ps > .086. However, unexpectedly, we found significant improvements in the CW Condition on the IUS and AAQ-II, ps < .011. These findings are shown in Table 3.

Table 3.

Change Score Comparison Between Written Imaginal Exposure (IE; n=16) and Control Writing (CW; n=15) Conditions

Measure Condition Mean %
Decrease
Within-Condition
Pre- to Follow-up
Comparison+
Cohen’s d Between-Condition
Comparison
SIR IE 14.42 t = 3.84, p = .001* 0.93 F = 0.15, p = .697
CW 16.93 t = 3.21, p = .006* 0.83
SIR-DD IE 12.54 t = 2.64, p = .018* 0.64 F = 0.01, p = .934
CW 13.25 t = 2.89, p = .012* 0.75
SCI IE 10.21 t = 2.09, p = .053 0.51 F = 2.01, p = .167
CW 22.56 t = 2.93, p = .011* 0.76
CAS IE 9.73 t = 2.39, p = .029* 0.58 F = 1.14, p = .294
CW 18.07 t = 2.32, p = .036* 0.60
CIR IE 12.63 t = 3.64, p = .002* 0.88 F = 0.04, p = .843
CW 11.63 t = 3.00, p = .010* 0.78
IUS IE 4.98 t = 1.10, p = .285 0.27 F = 0.69, p = .413
CW 9.41 t = 2.96, p = .010* 0.76
AAQ-II IE 11.56 t = 1.83, p = .087 0.44 F = 1.55, p = .222
CW 21.88 t = 3.61, p = .003* 0.93

Note. Mean % Decrease = pre to follow-up symptom decrease by condition, as a percentage of baseline score. +Calculated using paired t-tests. IE = Imaginal Exposure; CW = Control Writing; SIR = Saving Inventory Revised – Total Score; SIR-DD = Saving Inventory Revised – Difficulty Discarding Subscale; SCI = Saving Cognitions Inventory; CAS = Compulsive Acquisition Scale; IUS = Intolerance of Uncertainty Scale; AAQ-II = Acceptance and Action Questionnaire; CIR = Clutter Image Rating. * indicates significant change at p<.05.

To compare these symptom changes between conditions, we conducted a one-way ANCOVA to determine if there was a significant difference between conditions (IE vs CW) on the follow-up score for each measure (e.g., the follow-up SIR score), controlling for the pre score for each measure (e.g., the baseline SIR score). We found that improvements did not significantly differ between the IE Condition and the CW Condition on any of our measures. These findings are summarized in Table 3 for all measures and for SIR score specifically in Figure 1.

Figure 1.

Figure 1.

SIR Score Change from Pre to Follow-up (IE vs. CW Condition)

Discussion

The present study was a pilot to explore whether imaginal exposure – a technique that has shown utility in improving worry and anxiety disorders (Deacon & Abramowitz, 2004; Fracalanza et al., 2014) – could be useful in improving HD symptoms and transdiagnostic processes (e.g., avoidance of emotion) in people with HD. A previous case series had found promising results for this approach (Fracalanza et al., 2021). This is the first study to assess imaginal exposure (IE) for HD compared to a control writing condition.

We found that from pre-to-post in the IE Condition, there were significant improvements in several HD symptoms and related processes (with medium to large effects); however, the same was true in the Control Writing (CW) Condition, and when comparing pre-to-post change scores between conditions, improvements were no greater in the IE Condition than in the CW Condition. Overall, results suggest that although patients in both groups showed symptom improvement, IE worked no better than control writing. We discuss the implications of these pilot findings below.

These general improvements in HD symptoms aligned with previous findings on imaginal exposure for HD (Fracalanza et al., 2021), but results failed to indicate that confronting the mental imagery of discarding – the core fear in people with HD – and its associated emotions reduces difficulties discarding any more than neutral, unrelated writing. This is inconsistent with exposure therapy for anxiety disorders and OCD, which has demonstrated that facing fears – whether in real life (i.e., in-vivo exposure) or in the imagination (i.e., imaginal exposure) – helps improve symptoms associated with that anxiety much more than control approaches (Deacon & Abramowitz, 2004; Foa & McLean, 2016). Surprisingly, IE did not yield significant improvement on intolerance of uncertainty or emotional avoidance, which had been tested as potential mechanisms through which IE might work.

Four interesting possibilities arise from these results. First, the unexpected symptom reduction in the control group may derive from methodological confounds such as regression to the mean, demand characteristics, common factors like attention from knowledgeable professionals, or expectancy effects (Kazdin, 2003; Price et al., 2008). If so, this serves to reinforce the importance of control groups for methodological rigor.

Second, it could be that the writing itself, separate from its topic, was helpful for HD. Clinical trials testing the efficacy of emotion-related writing interventions for other disorders have sometimes found that control writing conditions improve symptoms as much as the experimental intervention (e.g., Baikie et al., 2012; see Qian et al., 2020 for review), and the effects of such interventions are more apparent in studies that included a no writing control condition. This has led previous researchers to suggest that trials include experimental writing, control writing, and no writing conditions in order to best capture the effects of an intervention (Qian et al., 2020). The present study’s control writing could have been particularly likely to yield positive results, as participants writing about a day off may have thought about the things they most enjoy rather than working, which could have elicited positive mood and been briefly therapeutic. Accordingly, future studies may wish to compare imaginal exposure writing to a no writing control condition.

Third, IE may only be measurably impactful when administered with other approaches, such as within a full course of CBT for HD. Perhaps IE as an augmentation to CBT boosts the potency of the treatment, or perhaps it helps people to engage in in-vivo exposures that they would otherwise refuse because it feels too difficult or overwhelming to do. In clinical practice, this is often how imaginal exposure helps (Moscovitch et al., 2009). IE may also be more effective when verbally administered with a therapist, such as reading aloud a script, and future studies testing its efficacy may wish to use this approach. Indeed, previous researchers have called for the need to test a range of procedural variants to determine which variation of imaginal exposure yields the greatest impact (Fracalanza et al., 2014), and perhaps the version as delivered in the present study is not "high dose" enough.

Fourth, IE may simply not be helpful for HD symptoms. Decades of research have found it helpful for anxiety and OCD, but its benefits for other disorders are less clear (e.g., eating disorders; Butler & Heimberg, 2020). People with HD may not extract expected benefits from imaginally facing their worst discarding-related fears. Indeed, the relationship between hoarding and anxiety is still unclear, with some research suggesting that neither anxiety sensitivity nor intolerance of uncertainty relate to hoarding symptoms (though they may relate to hoarding-related cognitions; Ayers & Dozier, 2015; Grisham et al., 2018). If anxiety is not a core contributor to the maintenance of HD, then imaginal exposure approaches - generally used to address disorders of anxiety - may accordingly not be efficacious for HD. However, more testing is needed before determining this.

There were several limitations to this study, some of which may account for the non-significant difference between conditions. These include the small sample and the limited “dose” of IE; future studies may wish to recruit larger samples and/or to increase duration of the writing. Future studies may further improve the potency of imaginal exposure by increasing the "emotional valence” of the writing, e.g., by encouraging participants to delve deeper into their emotional experience while writing. This could look include practices such as reading the imaginal script aloud repeatedly with a clinician, or voice recording the script and then listening to recordings between sessions. In the present study, writing instructions remained consistent across days, but future studies could have participants write about different feared scenarios on different days. It is also noteworthy that this study was conducted entirely remotely and in the context of the global COVID-19 pandemic, and it is unclear how this may have impacted results, as the consequences of engaging remotely vs in-person are unknown.

Conclusions

Overall, people with HD are an underserved population with high rates of dropout and/or refusal from the gold standard CBT treatment, and thus the exploration of low-investment and low-therapist-intensive interventions for them is of great interest. This study did not find that written imaginal exposure over three days yields greater improvement in HD symptoms than control writing does. At the same time, both IE and control writing conditions showed significant pre to follow-up changes. Thus, these findings support continued exploration of the utility of novel interventions for HD, and the potential of imaginal exposure though using a different approach. For example, virtual reality discarding may offer a more immersive approach to make feared discarding scenarios more real. Or, having a patient do in-vivo discarding (e.g., throw out an old cookbook) alongside imaginal writing about a chain of events that culminate in a core fear (e.g., forgetting how to cook) may be more effective than applying either approach separately. Preparing people for in-vivo discarding and re-engaging people who would otherwise refuse discarding altogether remain important obstacles to tackle.

Conflicts of Interest and Source of Funding:

This study was supported by the National Institute of Mental Health K23MH092434 (Dr. Rodriguez), the Stanford Small Grants Program (Dr. Rodriguez), a NARSAD Young Investigator Award from the Brain and Behavior Research Foundation (Dr. Fracalanza), and a National Institute of Mental Health T32MH019938 (Dr. Raila). Drs. Fracalanza, Raila, and Avanesyan report no additional financial or other relationships relevant to the subject of this manuscript. Dr. Rodriguez has served as a consultant for Allergan, BlackThorn Therapeutics, Rugen Therapeutics, and Epiodyne, and receives research grant support from Biohaven Inc., and a stipend from APA Publishing for her role as Deputy Editor at The American Journal of Psychiatry.

Footnotes

Ethical Considerations: The study was conducted according to acceptable research standards. It received Stanford University School of Medicine institutional review board approval, and informed consent was obtained from all study subjects.

References

  1. Abramowitz JS (2018). Getting over OCD: A 10-step workbook for taking back your life (2nd ed.). New York: Guilford Press. [Google Scholar]
  2. Ayers CR, & Dozier ME (2015). Predictors of hoarding severity in older adults with hoarding disorder. International psychogeriatrics, 27(7), 1147–1156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Baikie KA, Geerligs L, & Wilhelm K (2012). Expressive writing and positive writing for participants with mood disorders: An online randomized controlled trial. Journal of affective disorders, 136(3), 310–319. [DOI] [PubMed] [Google Scholar]
  4. Berman NC, Hezel DM, & Wilhelm S (2021). Is my patient too sad to approach their fear? Depression severity and imaginal exposure outcomes for patients with OCD. Journal of Behavior Therapy and Experimental Psychiatry, 70, 101615. [DOI] [PubMed] [Google Scholar]
  5. Berman NC, Wheaton MG, McGrath P, & Abramowitz JS (2010). Predicting anxiety: The role of experiential avoidance and anxiety sensitivity. Journal of anxiety disorders, 24(1), 109–113. [DOI] [PubMed] [Google Scholar]
  6. Bond FW, Hayes SC, Baer RA, Carpenter KM, Guenole N, Orcutt HK, Waltz T, & Zettle RD (2011). Preliminary psychometric properties of the Acceptance and Action Questionnaire - II: A revised measure of psychological flexibility and experiential avoidance. Behavior Therapy, 42, 676–688. [DOI] [PubMed] [Google Scholar]
  7. Buhr K, & Dugas MK (2002). The intolerance of uncertainty scale: Psychometric properties of the English version. Behaviour Research and Therapy, 40, 931–945. [DOI] [PubMed] [Google Scholar]
  8. Butler RM, & Heimberg RG (2020). Exposure therapy for eating disorders: A systematic review. Clinical Psychology Review, 78, 101851. [DOI] [PubMed] [Google Scholar]
  9. Cuthbert BN, Lang PJ, Strauss C, Drobes D, Patrick CJ, & Bradley MM (2003). The psychophysiology of anxiety disorder: Fear memory imagery. Psychophysiology, 40, 407–422. [DOI] [PubMed] [Google Scholar]
  10. Deacon BJ, & Abramowitz JS (2004). Cognitive and behavioral treatments for anxiety disorders: A review of meta-analytic findings. Journal of clinical psychology, 60(4), 429–441. [DOI] [PubMed] [Google Scholar]
  11. Devilly GJ, & Borkovec TD (2000). Psychometric properties of the credibility/expectancy questionnaire. Journal of Behavior Therapy and Experimental Research, 31, 73–86. [DOI] [PubMed] [Google Scholar]
  12. Dugas MJ, & Robichaud M (2007). Cognitive-behavioral treatment for generalized anxiety disorder: From science to practice. New York: Routledge [Google Scholar]
  13. Emmelkamp PM (2004). Behavior therapy with adults. Bergin and Garfield’s handbook of psychotherapy and behavior change, 393–446. [Google Scholar]
  14. First MB, Williams JBW, Karg RS, & Spitzer RL (2015) Structured Clinical Interview for DSM-5—Research Version (SCID-5 for DSM-5, Research Version; SCID-5-RV). American Psychiatric Association, Arlington, VA. [Google Scholar]
  15. Foa EB, & McLean CP (2016). The efficacy of exposure therapy for anxiety-related disorders and its underlying mechanisms: The case of OCD and PTSD. Annual review of clinical psychology, 12, 1–28 [DOI] [PubMed] [Google Scholar]
  16. Foa EB, Steketee G, Turner RM, & Fisher SC (1980). Effects of imaginal exposure to feared disasters in obsessive-compulsive disorder. Behavioral Research and Therapy, 18, 449–455. [DOI] [PubMed] [Google Scholar]
  17. Fracalanza K, Koerner N, & Antony MM (2014) Testing a procedural variant of written imaginal exposure for generalized anxiety disorder. Journal of Anxiety Disorders, 28, 559–569. [DOI] [PubMed] [Google Scholar]
  18. Fracalanza K, Raila H, & Rodriguez CI (2021). Could written imaginal exposure be helpful for hoarding disorder? A case series. Journal of Obsessive-Compulsive and Related Disorders, 29, 100637. [Google Scholar]
  19. Frattaroli J (2006). Experimental disclosure and its moderators: a meta-analysis. Psychological bulletin, 132, 823. [DOI] [PubMed] [Google Scholar]
  20. Freeston M, Rhéaume J, Letarte H, Dugas M, & Ladouceur R (1994) Why do people worry? Personality and Individual Differences, 17, 791–802. [Google Scholar]
  21. Frost RO, Steketee G, & Tolin DF (2012). Diagnosis and assessment of hoarding disorder. Annual Review of Clinical Psychology, 8, 219–242. [DOI] [PubMed] [Google Scholar]
  22. Frost RO, Pekareva-Kochergina A, & Maxner S (2011). The effectiveness of a biblio-based support group for hoarding disorder. Behaviour Research and Therapy, 49, 628–634. [DOI] [PubMed] [Google Scholar]
  23. Frost RO, Steketee G, Tolin DF, & Renaud S (2008). Development and validation of the clutter image rating. Journal of Psychopathology and Behavioral Assessment, 30, 193–203. [Google Scholar]
  24. Frost RO, Steketee G, & Grisham J (2004). Measurement of compulsive hoarding: Saving inventory-revised. Behaviour Research and Therapy, 42, 1163–1182. [DOI] [PubMed] [Google Scholar]
  25. Frost RO, Steketee G, & Williams L (2002) Compulsive buying, compulsive hoarding, and obsessive-compulsive disorder. Behavior Therapy, 33, 201–214. [Google Scholar]
  26. Gillihan SJ, Williams MT, Malcoun E, Yadin E, & Foa EB (2012). Common pitfalls in exposure and response prevention (EX/RP) for OCD. Journal of obsessive-compulsive and related disorders, 1(4), 251–257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Goldman N, Dugas MJ, Sexton KA, & Gervais NJ (2007). The impact of written exposure on worry: A preliminary investigation. Behavior Modification, 31, 512.538. [DOI] [PubMed] [Google Scholar]
  28. Grimes DA, & Schulz KF (2002). Descriptive studies: What they can and cannot do. Lancet, 359, 145–149. [DOI] [PubMed] [Google Scholar]
  29. Grisham JR, Roberts L, Cerea S, Isemann S, Svehla J, & Norberg MM (2018). The role of distress tolerance, anxiety sensitivity, and intolerance of uncertainty in predicting hoarding symptoms in a clinical sample. Psychiatry research, 267, 94–101. [DOI] [PubMed] [Google Scholar]
  30. Hamilton M. (1960). A rating scale for depression. Journal of Neurology, Neurosurgery, and Psychiatry, 23, 56–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Hunt M, & Fenton M (2007). Imagery rescripting versus in vivo exposure in the treatment of snake fear. Journal of Behavior Therapy and Experimental Psychiatry, 38(4), 329–344. [DOI] [PubMed] [Google Scholar]
  32. Kazdin AE (2003). Research design in clinical psychology (4th ed.). Needham Heights, MA: Allyn & Bacon. [Google Scholar]
  33. Lancaster GA, Dodd S, & Williamson PR (2004). Design and analysis of pilot studies: Recommendations for good practice. Journal of Evaluation in Clinical Practice, 10, 307–312. [DOI] [PubMed] [Google Scholar]
  34. Lang AJ, & Craske MG (2000). Manipulations of exposure-based therapy to reduce return of fear: A replication. Behaviour Research and Therapy, 38(1), 1–12 [DOI] [PubMed] [Google Scholar]
  35. Mahnke AR, Linkovski O, Timpano K, van Roessel P, Sanchez C, Varias AD, … & Rodriguez CI (2021). Examining subjective sleep quality in adults with hoarding disorder. Journal of Psychiatric Research, 137, 597–602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Moscovitch DA, Antony MM, & Swinson RP (2009). Exposure-based treatments for anxiety disorders: Theory and process. In Antony MM & Stein MB (Eds.), Oxford handbook of anxiety and related disorders (pp 461–475). Oxford University Press. [Google Scholar]
  37. Moulding R, Nedelikovic M, Kyrios M, Osborne D, & Morgan C (2017). Short-term cognitive-behavioural group treatment for hoarding disorder: A naturalistic treatment outcome study. Clinical Psychology and Psychotherapy, 24, 235–244. [DOI] [PubMed] [Google Scholar]
  38. Muroff J, Steketee G, Frost RO, & Tolin DF (2014). Cognitive behavior therapy for hoarding disorder: Follow-up findings and predictors of outcome. Depression and Anxiety, 31, 964–971. [DOI] [PubMed] [Google Scholar]
  39. Posner K, Brown GK, Stanley B, Brent DA, Yershova KV, Oquendo MA, Currier GW, Melvin GA, Greenhill I, Shen S, Mann JJ (2011). The Columbia suicide severity rating scale: Initial validity and internal consistency findings from three multisite studies with adolescents and adults. American Journal of Psychiatry, 168, 1266–1277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Postlethwaite A, Kellett S, & Mataix-Cols D (2019). Prevalence of hoarding disorder: A systematic review and meta-analysis. Journal of Affective Disorders, 256, 309–316. [DOI] [PubMed] [Google Scholar]
  41. Price DD, Ginniss DG, & Benedetti F (2008). A comprehensive review of the placebo effect: Recent advances and current thought. Annual Review of Psychology, 59, 565–590. [DOI] [PubMed] [Google Scholar]
  42. Provencher MD, Dugas MJ, & Ladouceur R (2004). Efficacy of problem-solving training and cognitive exposure in the treatment of generalized anxiety disorder: A case replication series. Cognitive and Behavioral Practice, 11(4), 404–414. [Google Scholar]
  43. Qian J, Zhou X, Sun X, Wu M, Sun S, & Yu X (2020). Effects of expressive writing intervention for women's PTSD, depression, anxiety and stress related to pregnancy: A meta-analysis of randomized controlled trials. Psychiatry Research, 288, 112933. [DOI] [PubMed] [Google Scholar]
  44. Robichaud M & Dugas MJ (2015). The generalized anxiety disorder workbook: A comprehensive CBT guide for coping with uncertainty, worry, and fear. Oakland, CA: New Harbinger Publications. [Google Scholar]
  45. Sloan DM, Marx BP, & Epstein EM (2005). Further examination of the exposure model underlying the efficacy of written emotional disclosure. Journal of consulting and clinical psychology, 73(3), 549. [DOI] [PubMed] [Google Scholar]
  46. Sloan DM, Marx BP, Greenberg EM (2011). A test of written emotional disclosure as an intervention for posttraumatic stress disorder. Behavior Research and Therapy, 49, 299–304. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Steketee G, Frost RO, Tolin DF, Rasmussen J, & Brown TA (2010). Waitlist-controlled trial of cognitive behavior therapy for hoarding disorder. Depression and Anxiety, 27, 476–484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Tolin DF, Frost RO, & Steketee G (2007). An open trial of cognitive-behavioral therapy for compulsive hoarding. Behaviour Research and Therapy, 45, 1461–1470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Tolin DF, Frost RO, Steketee G, & Muroff J (2015). Cognitive behavioral therapy for hoarding disorder: A meta-analysis. Depression and Anxiety, 32, 158–166. [DOI] [PubMed] [Google Scholar]
  50. van Minnen A & Foa EB (2006). The effect of imaginal exposure length on outcome of treatment for PTSD. Journal of Traumatic Stress, 19, 427–438. [DOI] [PubMed] [Google Scholar]
  51. Wheaton MG, Abramowitz JS, Jacoby RJ, Zwerling J, & Rodriguez CI (2016). An investigation of the role of intolerance of uncertainty in hoarding symptoms. Journal of Affective Disorders, 193, 208–214. [DOI] [PubMed] [Google Scholar]
  52. Wheaton MG, Abramowitz JS, Franklin JC, Berman NC, & Fabricant LE (2011). Experiential avoidance and saving cognitions in the prediction of hoarding symptoms. Cognitive Therapy and Research, 35, 511–516. [Google Scholar]
  53. Whiteside SP, Biggs BK, Ollendick TH, Dammann JE, Tiede MS, Hofschulte DR, … & Brennan E (2022). Using Technology to Promote Therapist Use of Exposure Therapy for Childhood Anxiety Disorders: A Randomized Pilot Study. Behavior Therapy, 53(4), 642–655. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Williams M, & Viscusi JA (2016). Hoarding disorder and a systematic review of treatment with cognitive behavioral therapy. Cognitive Behavioral Therapy, 45, 93–110. [DOI] [PubMed] [Google Scholar]

RESOURCES