Reassessing rumination: Validity of the Day Reconstruction Method for Rumination (DRM-R) to assess episodes of rumination in daily life.

Rumination is a robust vulnerability to depression and potential treatment target. However, we know relatively little about rumination in daily life. This study tested the validity of a new approach for assessing daily episodes of rumination, the Day Reconstruction Method for Rumination (DRM-R). Participants (N = 127) who were either high or low in neuroticism completed baseline self-report measures (e.g., depression, trait rumination). Next, they completed the DRM-R by reconstructing the previous day into a series of "scenes," identifying discrete episodes of rumination, and responding to follow-up items about each episode. 78.6% of high neuroticism participants reported experiencing discrete periods of rumination, 80.0% reported constant ruminative thoughts in the back of their heads, and 68.6% reported ruminative thoughts of fluctuating intensity. Time spent ruminating was moderately correlated with trait measures of rumination and worry. Findings provide preliminary evidence that the DRM-R is a valid method for assessing discrete episodes of rumination in daily life. The DRM-R may reveal, ideographically, the relationship between specific thought content and features of ruminative episodes (e.g., length, frequency). Further research is needed to establish whether the DRM-R can detect changes in rumination across multiple days and how it corresponds with traditional daily diary methods and ecological momentary assessment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Collaborative Care Models to Improve Pain and Reduce Opioid Use in Primary Care: a Systematic Review.

BACKGROUND: Collaborative care management (CCM) is an empirically driven model to overcome fractured medical care and improve health outcomes. While CCM has been applied across numerous conditions, it remains underused for chronic pain and opioid use. Our objective was to establish the state of the science for CCM approaches to addressing pain-related outcomes and opioid-related behaviors through a systematic review. METHODS: We identified peer-reviewed articles from Cochrane, Embase, PsycINFO, and PubMed databases from January 1, 1995, to October 31, 2022. Abstracts and full-text articles were screened for study inclusion, resulting in 18 studies for the final review. In addition, authors used the Patient-Centered Integrated Behavioral Health Care Principles and Tasks Checklist as a tool for assessing the reported CCM components within and across studies. We conducted this systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement. RESULTS: Several CCM trials evidenced statistically significant improvements in pain-related outcomes (n = 11), such as pain severity and pain-related activity interference. However, effect sizes varied considerably across studies and some effects were not clinically meaningful. CCM had some success in targeting opioid-related behaviors (n = 4), including reduction in opioid prescription dose. Other opioid-related work focused on CCM to facilitate buprenorphine treatment for opioid use disorder (n = 2), including improved odds of receiving treatment and greater prevalence of abstinence from opioids and alcohol. Uniquely, several interventions used CCM to target mental health as a way to address pain (n = 10). Generally, there was moderate alignment with the CCM model. CONCLUSIONS: CCM shows promise for improving pain-related outcomes, as well as facilitating buprenorphine for opioid use disorder. More robust research is needed to determine which aspects of CCM best support improved outcomes and how to maximize the effectiveness of such interventions.

Development of an mHealth App-Based Intervention for Depressive Rumination (RuminAid): Mixed Methods Focus Group Evaluation.

BACKGROUND: Depression is a common mental health condition that poses a significant public health burden. Effective treatments for depression exist; however, access to evidence-based care remains limited. Mobile health (mHealth) apps offer an avenue for improving access. However, few mHealth apps are informed by evidence-based treatments and even fewer are empirically evaluated before dissemination. To address this gap, we developed RuminAid, an mHealth app that uses evidence-based treatment components to reduce depression by targeting a single key depressogenic process-rumination. OBJECTIVE: The primary objective of this study was to collect qualitative and quantitative feedback that could be used to improve the design of RuminAid before the software development phase. METHODS: We reviewed empirically supported interventions for depression and rumination and used the key aspects of each to create a storyboard version of RuminAid. We distributed an audio-guided presentation of the RuminAid storyboard to 22 individuals for viewing and solicited user feedback on app content, design, and perceived functionality across 7 focus group sessions. RESULTS: The consumer-rated quality of the storyboard version of RuminAid was in the acceptable to good range. Indeed, most participants reported that they thought RuminAid would be an engaging, functional, and informational app. Likewise, they endorsed overwhelming positive beliefs about the perceived impact of RuminAid; specifically, 96% (21/22) believed that RuminAid will help depressed ruminators with depression and rumination. Nevertheless, the results highlighted the need for improved app aesthetics (eg, a more appealing color scheme and modern design). CONCLUSIONS: Focus group members reported that the quality of information was quite good and had the potential to help adults who struggle with depression and rumination but expressed concern that poor aesthetics would interfere with users' desire to continue using the app. To address these comments, we hired a graphic designer and redesigned each screen to improve visual appeal. We also removed time gating from the app based on participant feedback and findings from related research. These changes helped elevate RuminAid and informed its initial software build for a pilot trial that focused on evaluating its feasibility and acceptability.

Cleansing the Attentional Palate: A Preliminary Test of a Novel Approach to Facilitate Disengagement From Rumination.

Resource allocation theory suggests that rumination depletes cognitive resources that could be directed toward task-relevant processes. We propose a new approach to the treatment of rumination that specifically targets this misappropriation of cognitive resources, wherein individuals engage in an attentionally demanding task in order to interrupt the ruminative cycle. We argue that this strategy would serve to free cognitive resources from rumination and facilitate performance on other tasks. Thus, the present study served as an initial test of this novel approach. This study employed a within-subjects design, in which participants were 30 college students who completed self-report measures of baseline mood state, anxiety, depression, and trait rumination. Subsequently, they underwent sad mood and rumination inductions followed by random assignment to either a low attentional demand disengagement strategy (DS) followed by a high attentional demand DS or vice versa. Reading comprehension was assessed at baseline and following each of the two DSs. The high attentional demand DS condition was associated with better performance on the reading comprehension task compared to the low attentional demand DS condition. These results provide initial support for our novel approach to targeting rumination and demonstrate that attentionally demanding DSs may successfully free cognitive resources that might otherwise be consumed by rumination. Thus, future research into attentionally demanding DSs that interrupt ruminative cycles is warranted. This approach could be a useful adjunct for interventions targeting disorders driven by rumination, such as depression.