Bridging the gap from medical to psychological safety assessment: consensus study in a digital mental health context.

BACKGROUND: Digital Mental Health Interventions (DMHIs) that meet the definition of a medical device are regulated by the Medicines and Healthcare products Regulatory Agency (MHRA) in the UK. The MHRA uses procedures that were originally developed for pharmaceuticals to assess the safety of DMHIs. There is recognition that this may not be ideal, as is evident by an ongoing consultation for reform led by the MHRA and the National Institute for Health and Care Excellence. AIMS: The aim of this study was to generate an experts' consensus on how the medical regulatory method used for assessing safety could best be adapted for DMHIs. METHOD: An online Delphi study containing three rounds was conducted with an international panel of 20 experts with experience/knowledge in the field of UK digital mental health. RESULTS: Sixty-four items were generated, of which 41 achieved consensus (64%). Consensus emerged around ten recommendations, falling into five main themes: Enhancing the quality of adverse events data in DMHIs; Re-defining serious adverse events for DMHIs; Reassessing short-term symptom deterioration in psychological interventions as a therapeutic risk; Maximising the benefit of the Yellow Card Scheme; and Developing a harmonised approach for assessing the safety of psychological interventions in general. CONCLUSION: The implementation of the recommendations provided by this consensus could improve the assessment of safety of DMHIs, making them more effective in detecting and mitigating risk.

User-Centered Development of STOP (Successful Treatment for Paranoia): Material Development and Usability Testing for a Digital Therapeutic for Paranoia.

BACKGROUND: Paranoia is a highly debilitating mental health condition. One novel intervention for paranoia is cognitive bias modification for paranoia (CBM-pa). CBM-pa comes from a class of interventions that focus on manipulating interpretation bias. Here, we aimed to develop and evaluate new therapy content for CBM-pa for later use in a self-administered digital therapeutic for paranoia called STOP ("Successful Treatment of Paranoia"). OBJECTIVE: This study aimed to (1) take a user-centered approach with input from living experts, clinicians, and academics to create and evaluate paranoia-relevant item content to be used in STOP and (2) engage with living experts and the design team from a digital health care solutions company to cocreate and pilot-test the STOP mobile app prototype. METHODS: We invited 18 people with living or lived experiences of paranoia to create text exemplars of personal, everyday emotionally ambiguous scenarios that could provoke paranoid thoughts. Researchers then adapted 240 suitable exemplars into corresponding intervention items in the format commonly used for CBM training and created 240 control items for the purpose of testing STOP. Each item included newly developed, visually enriching graphics content to increase the engagement and realism of the basic text scenarios. All items were then evaluated for their paranoia severity and readability by living experts (n=8) and clinicians (n=7) and for their item length by the research team. Items were evenly distributed into six 40-item sessions based on these evaluations. Finalized items were presented in the STOP mobile app, which was co-designed with a digital health care solutions company, living or lived experts, and the academic team; user acceptance was evaluated across 2 pilot tests involving living or lived experts. RESULTS: All materials reached predefined acceptable thresholds on all rating criteria: paranoia severity (intervention items: ≥1; control items: ≤1, readability: ≥3, and length of the scenarios), and there was no systematic difference between the intervention and control group materials overall or between individual sessions within each group. For item graphics, we also found no systematic differences in users' ratings of complexity (P=.68), attractiveness (P=.15), and interest (P=.14) between intervention and control group materials. User acceptance testing of the mobile app found that it is easy to use and navigate, interactive, and helpful. CONCLUSIONS: Material development for any new digital therapeutic requires an iterative and rigorous process of testing involving multiple contributing groups. Appropriate user-centered development can create user-friendly mobile health apps, which may improve face validity and have a greater chance of being engaging and acceptable to the target end users.

The role of consciousness in threat extinction learning.

Extinction learning is regarded as a core mechanism underlying exposure therapy. The extent to which learned threats can be extinguished without conscious awareness is a controversial and on-going debate. We investigated whether implicit vs. explicit exposure to a threatened stimulus can modulate defence responses measured using pupillometry. Healthy participants underwent a threat conditioning paradigm in which one of the conditioned stimuli (CS) was perceptually suppressed using continuous flash suppression (CFS). Participants' pupillary responses, CS pleasantness ratings, and trial-by-trial awareness of the CS were recorded. During Extinction, participants' pupils dilated more in the trials in which they were unaware of the CS than in those in which they were aware of it (Cohen's d = 0.57). After reinstatement, the percentage of fear recovery was greater for the CFS-suppressed CS than the CS with full awareness. The current study suggests that the modulation of fear responses by extinction with reduced visual awareness is weaker compared to extinction with full perceptual awareness.

The Safety of Digital Mental Health Interventions: Systematic Review and Recommendations.

BACKGROUND: Evidence suggests that digital mental health interventions (DMHIs) for common mental health conditions are effective. However, digital interventions, such as face-to-face therapies, pose risks to patients. A safe intervention is considered one in which the measured benefits outweigh the identified and mitigated risks. OBJECTIVE: This study aims to review the literature to assess how DMHIs assess safety, what risks are reported, and how they are mitigated in both the research and postmarket phases and building on existing recommendations for assessing, reporting, and mitigating safety in the DMHI and standardizing practice. METHODS: PsycINFO, Embase, and MEDLINE databases were searched for studies that addressed the safety of DMHIs. The inclusion criteria were any study that addressed the safety of a clinical DMHI, even if not as a main outcome, in an adult population, and in English. As the outcome data were mainly qualitative in nature, a meta-analysis was not possible, and qualitative analysis was used to collate the results. Quantitative results were synthesized in the form of tables and percentages. To illustrate the use of a single common safety metric across studies, we calculated odds ratios and CIs, wherever possible. RESULTS: Overall, 23 studies were included in this review. Although many of the included studies assessed safety by actively collecting adverse event (AE) data, over one-third (8/23, 35%) did not assess or collect any safety data. The methods and frequency of safety data collection varied widely, and very few studies have performed formal statistical analyses. The main treatment-related reported AE was symptom deterioration. The main method used to mitigate risk was exclusion of high-risk groups. A secondary web-based search found that 6 DMHIs were available for users or patients to use (postmarket phase), all of which used indications and contraindications to mitigate risk, although there was no evidence of ongoing safety review. CONCLUSIONS: The findings of this review show the need for a standardized classification of AEs, a standardized method for assessing AEs to statically analyze AE data, and evidence-based practices for mitigating risk in DMHIs, both in the research and postmarket phases. This review produced 7 specific, measurable, and achievable recommendations with the potential to have an immediate impact on the field, which were implemented across ongoing and future research. Improving the quality of DMHI safety data will allow meaningful assessment of the safety of DMHIs and confidence in whether the benefits of a new DMHI outweigh its risks. TRIAL REGISTRATION: PROSPERO CRD42022333181; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=333181.

Cognitive bias modification for paranoia (CBM-pa): a randomised controlled feasibility study in patients with distressing paranoid beliefs.

BACKGROUND: Cognitive Bias Modification for paranoia (CBM-pa) is a novel, theory-driven psychological intervention targeting the biased interpretation of emotional ambiguity associated with paranoia. Study objectives were (i) test the intervention's feasibility, (ii) provide effect size estimates, (iii) assess dose-response and (iv) select primary outcomes for future trials. METHODS: In a double-blind randomised controlled trial, sixty-three outpatients with clinically significant paranoia were randomised to either CBM-pa or an active control (text reading) between April 2016 and September 2017. Patients received one 40 min session per week for 6 weeks. Assessments were given at baseline, after each interim session, post-treatment, and at 1- and 3-months post-treatment. RESULTS: A total of 122 patients were screened and 63 were randomised. The recruitment rate was 51.2%, with few dropouts (four out of 63) and follow-up rates were 90.5% (1-month) and 93.7% (3-months). Each session took 30-40 min to complete. There was no statistical evidence of harmful effects of the intervention. Preliminary data were consistent with efficacy of CBM-pa over text-reading control: patients randomised to the intervention, compared to control patients, reported reduced interpretation bias (d = -0.48 to -0.76), improved symptoms of paranoia (d = -0.19 to -0.38), and lower depressed and anxious mood (d = -0.03 to -0.29). The intervention effect was evident after the third session. CONCLUSIONS: CBM-pa is feasible for patients with paranoia. A fully powered randomised control trial is warranted.

The Relationship Between Attention, Interpretation, and Memory Bias During Facial Perception in Social Anxiety.

Although cognitive theories suggest the interactive nature of information processing biases in contributing to social anxiety, most studies to date have investigated these biases in isolation. This study aimed at (a) testing the association between social anxiety and each of the threat-related cognitive biases: attention, interpretation, and memory bias; and (b) examining the relationship between these cognitive biases in facial perception. We recruited an unselected sample of 188 adult participants and measured their level of social anxiety and cognitive biases using faces displaying angry, disgusted, happy, and ambiguous versions of these expressions. All bias tasks were assessed with the same set of facial stimuli. Regression analyses showed that social anxiety symptoms significantly predicted attention avoidance and poorer sensitivity in recognizing threatening faces. Social anxiety was, however, unrelated to interpretation bias in our sample. Results of path analysis suggested that attention bias influenced memory bias indirectly through interpretation bias for angry but not disgusted faces. Our findings suggest that, regardless of social anxiety level, when individuals selectively oriented to faces displaying anger, the faces were interpreted to be more negative. This, in turn, predicted better memory for the angry faces. The results provided further empirical support for the combined cognitive bias hypothesis.

The combined cognitive bias hypothesis in anxiety: A systematic review and meta-analysis.

Cognitive theories have postulated the relational nature of different cognitive biases in the development and maintenance of anxiety disorders. To test this combined cognitive bias hypothesis, this review addressed the following questions: (i) whether different cognitive biases are associated with each other and (ii) whether one bias influences another bias. We identified 36 articles that studied the relationship between cognitive biases (attention, interpretation and memory bias). Of these, 31 studies were entered into two meta-analyses. Sixteen studies were included in the first meta-analysis of the correlation between cognitive bias indices. A further 15 studies were included in another meta-analysis to examine the transfer effects of cognitive bias modification (CBM) to another bias. Both meta-analyses yielded small but significant overall pooled effect sizes after the removal of outliers (r = 0.11 and g = 0.19 respectively). Moderator analyses revealed that the relationship between interpretation and memory bias was significantly stronger than other types of cognitive bias correlations and CBM is more potent in modifying biases when it was delivered in the laboratory compared with online. Our review quantifies the strength of the relationships between biases and transfer effects following CBM, which serves as a basis to further understand the mechanisms underlying biased information processing.

Personalized cognitive training: Protocol for individual-level meta-analysis implementing machine learning methods.

Accumulating evidence suggests that cognitive training may enhance well-being. Yet, mixed findings imply that individual differences and training characteristics may interact to moderate training efficacy. To investigate this possibility, the current paper describes a protocol for a data-driven individual-level meta-analysis study aimed at developing personalized cognitive training. To facilitate comprehensive analysis, this protocol proposes criteria for data search, selection and pre-processing along with the rationale for each decision. Twenty-two cognitive training datasets comprising 1544 participants were collected. The datasets incorporated diverse training methods, all aimed at improving well-being. These training regimes differed in training characteristics such as targeted domain (e.g., working memory, attentional bias, interpretation bias, inhibitory control) and training duration, while participants differed in diagnostic status, age and sex. The planned analyses incorporate machine learning algorithms designed to identify which individuals will be most responsive to cognitive training in general and to discern which methods may be a better fit for certain individuals.

Anxiety mediates the relationship between interpretation bias and paranoia in patients with persistent persecutory beliefs.

Background and Objectives: The role of interpretation bias in generating and maintaining persecutory beliefs/paranoid ideation is becoming established in the literature, but how negative mood affects this relationship remains unclear. The current study investigated the mediating role of anxiety and depression in the association between interpretation bias and paranoia in patients with persistent paranoia. Methods/Design: We applied the mediation model to clinical data gathered from patients with persistent paranoia (N = 62), and compared how levels of depression and anxiety affected the association between interpretation bias and paranoia. Results: Interpretation bias and anxiety accounted for 43% of the variance in paranoia, while interpretation bias and depression explained 31% of this variance. Levels of anxiety, but not depression, partially mediated the relationship between interpretation bias and paranoid beliefs. Our data suggest that the association between interpretation bias and paranoid beliefs takes effect partly, although not completely, through heightened levels of anxiety. Conclusions: The current study highlighted the role of anxiety as a mediator in the association between interpretation bias and paranoid beliefs in patients with distressing paranoia. These findings inform the potential mechanism underlying cognitive interventions for pathological paranoia. Trial registration: Current Controlled Trials ISRCTN: 90749868. Retrospectively registered on 12 May 2016.

Biased interpretation in paranoia and its modification.

BACKGROUND AND OBJECTIVES: Cognitive models of psychosis implicate interpretation biases as one of the mechanisms involved in the formation and maintenance of symptoms. First we measured the strength of association between interpretation biases and psychosis-relevant traits. Next we manipulated these biases and quantified the effects of doing so on psychosis-relevant outcomes. METHODS: Experiment 1 used two measures of interpretation bias in a healthy sample (n = 70). Experiment 2 used a novel cognitive bias modification procedure (CMB-pa) in individuals with moderate trait paranoia (n = 60). RESULTS: Experiment 1 revealed that over a third of the variance in interpretation bias could be explained by the combined effect of trait measures of paranoia/psychosis. In Experiment 2, CBM-pa produced training-congruent changes in the interpretation of new ambiguous information and influenced the interpretation, attribution and distress associated with a real-life social event. LIMITATIONS: The potentially confounding effects of elevated anxiety and depression on interpretation bias and the restricted range of outcome measures to assess the wider effects of CBM-pa. CONCLUSIONS: These studies are consistent with interpretation biases contributing to the maintenance of paranoia. CBM-pa could next be adapted and evaluated to test its efficacy as a therapeutic intervention.

The implication of cognitive processes in emotional bias.

Recently, Yuan et al. (2019) quantitatively reviewed emotional bias studies with P3 event-related potential amplitudes and demonstrated that emotional bias varies with stimulus parameters, such as type, arousal, and task setting. We believe that emotional biases might profitably be studied together with cognitive processes in order to understand the affective dysregulation underpinning various mental illnesses. In this commentary, we highlighted the role of attention bias and interpretation bias as examples of cognitive processes affecting emotional bias in anxiety disorders. We discussed the potential synergy of examining cognitive processes alongside emotional bias to understand the psychopathology underlying various prevalent forms of mental disorders and potentially disentangle the intricate mechanisms for further interventions.

Why do parents not re-vaccinate their child for influenza? A prospective cohort study.

Child influenza vaccination rates for the UK are published annually, however there are no publicly available data on how many children are re-vaccinated the following year. This prospective cohort study aimed to identify factors associated with not re-vaccinating one's child. Participants (n = 270) completed a questionnaire before their child was vaccinated for influenza in the 2016/17 season, and follow-up questionnaires three days and one month after their child's vaccination. Re-vaccination data were collected at the end of the 2017/18 influenza season (n = 232, response rate 85.9%). Forty-one children (17.7%) were not re-vaccinated for influenza in 2017/18. Parental report of severe side-effects three days after vaccination (p = .04) and worry about side-effects one month after vaccination (p = .05) were associated with not re-vaccinating. However, the restricted sample size reduced the statistical power of these analyses. Decreasing parental worry about side-effects may help improve re-vaccination rates. Clinical trial registration: The study was registered on ClinicalTrials.gov (NCT02909855).

Psychosocial Factors Affecting Parental Report of Symptoms in Children: A Systematic Review.

OBJECTIVE: Parents make important treatment decisions for their children based on symptoms they perceive their child to be experiencing. Multiple psychological factors are associated with subjective symptom perception, but factors affecting perception of symptoms in others have been explored less. We systematically reviewed the literature to identify parent and child psychological factors associated with parental report of physical symptoms in their child. METHODS: We searched Embase, Ovid, PsycINFO, and Scopus for studies that investigated associations between psychological factors and parental report of symptoms in their child. RESULTS: Thirty-six citations reporting on 34 studies that assessed the association between parent or child psychological factors and parental report of physical symptoms in the child were included in the review. Three main factors were identified as being associated with parental symptom report. First, there was evidence for an association between parental symptom report and affect, in particular parent and child anxiety. Second, child behavioral and conduct problems, and temperament-related challenges (problems with feeding and sleeping) were associated with parental symptom report. Third, parental expectations and beliefs that symptoms would occur were associated with parental symptom report, although few studies investigated these associations. CONCLUSIONS: Parent and child affect, and parental expectations and beliefs may influence parents' cognition, causing them to pay more attention to their child, interpret their child's behavior as symptomatic, and recall symptoms in the child. Given the importance of parental perception of symptoms in driving decisions around care, additional research in this field is needed.

Biased cognition in East Asian and Western cultures.

The majority of cognitive bias research has been conducted in Western cultures. We examined cross-cultural differences in cognitive biases, comparing Westerners' and East Asians' performance and acculturation following migration to the opposite culture. Two local (UK, Hong Kong) and four migrant (short-term and long-term migrants to each culture) samples completed culturally validated tasks measuring attentional and interpretation bias. Hong Kong residents were more positively biased than people living in the UK on several measures, consistent with the lower prevalence of psychological disorders in East Asia. Migrants to the UK had reduced positive biases on some tasks, while migrants to Hong Kong were more positive, compared to their respective home counterparts, consistent with acculturation in attention and interpretation biases. These data illustrate the importance of cultural validation of findings and, if replicated, would have implications for the mental health and well-being of migrants.

Utilising cognitive bias modification to remedy appearance and self-worth biases in eating disorder psychopathology: A systematic review.

BACKGROUND AND OBJECTIVES: This study systematically reviewed the impact of Cognitive Bias Modification (CBM) on biases related to attention (CBM-A) and interpretation (CBM-I) for appearance and self-worth stimuli and the subsequent impact on eating disorder (ED) psychopathology. METHOD: The current review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), with 12 studies meeting inclusion criteria (CBM-A n = 5; CBM-I n = 7). RESULTS: The literature provides preliminary support for CBM-A and CBM-I efficacy in eliciting bias change in varying degrees of psychopathology (Cohen's d ranging between -1.67 and 1.34; 9 studies reflected improved bias, and 3 reflected no change or did not assess), while highlighting the less robust effects associated with improving ED psychopathology (d ranging between -1.30 and 0.61; 5 studies reflected symptom improvement, and 7 reflected no change or did not assess). LIMITATIONS: The review only considered peer reviewed research and did not report on the findings of unpublished data; thus, the current findings may not provide an accurate representation of CBM in EDs. CONCLUSIONS: The current findings highlight the potential of CBM as an adjunct intervention for EDs; however the limited number of investigations and high degree of heterogeneity across the included studies impedes on the generalisability of the findings.

Negative Interpretation Biases Precede the Onset of Psychosis.

This study investigated whether a negative interpretation bias was present in people at high risk for psychosis. People with an At Risk Mental State (ARMS; n = 21), patients with First Episode Psychosis (FEP; n = 20), and healthy controls (n = 20) performed three tasks, each of which was designed to measure interpretation bias. Both ARMS and FEP participants showed an attenuated positive bias compared to controls. These findings extend previous results investigating interpretation bias in psychosis by showing that interpretative biases are present before the onset of psychosis, and could therefore contribute to its development. Biased interpretation mechanisms could be a new target for clinical intervention in the early phase of psychosis.

Interaction between childhood adversity and functional polymorphisms in the dopamine pathway on first-episode psychosis.

BACKGROUND: There is consistent evidence of a cumulative relationship between childhood adversity and psychosis, with number of adversities experienced increasing the probability of psychosis onset. It is possible that genetic factors moderate the association between childhood adversity and psychosis, potentially by influencing how an individual reacts biologically and/or psychologically following exposure to adversity, in such a way as to set them off on the path to psychosis. However, identifying the specific genetic variants involved and how they interact with childhood adversity remains challenging. We examined whether the association between cumulative exposure to childhood adversity and development of psychotic disorder was moderated by the COMT Val158Met, AKT1 rs2494732 or DRD2 rs1076560 polymorphisms, known to affect dopamine levels. METHODS: Participants were 285 first-presentation psychosis cases and 256 geographically-matched controls drawn from the Genetics and Psychosis (GAP) study. Childhood adversity was assessed using the Childhood Experience of Care and Abuse Questionnaire (CECA.Q) and blood- and cheek-derived genotype data were collected. RESULTS: Our findings revealed no main effect of COMT Val158Met, AKT1 rs2494732 and DRD2 rs1076560 polymorphisms on psychosis case status or reports of childhood adversity. Individuals reporting a history of multiple adversities were more likely to be psychosis patients than controls, regardless of their genetic risk. There was no evidence of candidate genotype by childhood adversity interactions in relation to psychosis onset. CONCLUSION: These findings did not provide evidence of a possible role of COMT Val158Met, AKT1 rs2494732 or DRD2 rs1076560 genotypes in modifying the association between childhood adversity and onset of psychosis.

Parental Expectation of Side Effects Following Vaccination Is Self-fulfilling: A Prospective Cohort Study.

BACKGROUND: One of the major factors contributing to parental refusal of vaccinations is the perception that vaccines cause side effects. Although symptoms are commonly reported following vaccinations, their causes are not always straightforward. Although some may be directly attributable to the vaccine itself, others may reflect pre-existing or coincidental symptoms that are misattributed to the vaccine. PURPOSE: To investigate psychological factors associated with parental report of side effects following vaccination with the child influenza vaccine, and parental intention to re-vaccinate one's child the following year. METHODS: A prospective cohort study was run in primary care practices in London in the 2016-2017 influenza season (ClinicalTrials.gov number NCT02909855). Two hundred seventy parents from 14 practices completed a questionnaire before their child's vaccination. Follow-up questionnaires were completed 3 days after vaccination and one month after vaccination. Parental report of side effects and vaccination intention for the subsequent year were measured. RESULTS: Parental report of side effects was strongly associated with pre-vaccination expectation of side effects. Suggestions received from the media, National Health Service (NHS) vaccination leaflet, and health care workers, as well as uncertainty-related beliefs, perceived sensitivity of the child to medicines, pessimism, and anxiety were also associated with reporting side effects. Side effect report was associated with lower vaccination intention for the following influenza season. CONCLUSIONS: Side effect perception following vaccination is influenced by psychological factors, in particular expectations. Perceiving side effects reduces future vaccination intention. Future public health communications should aim to decrease unrealistic expectations of side effects to increase vaccine uptake.

The neural correlates of perceived energy levels in older adults with late-life depression.

Late-life depression is common among older adults. Although white-matter abnormality is highly implicated, the extent to which the corticospinal tract is associated with the pathophysiology of late-life depression is unclear. The current study aims to investigate the white-matter structural integrity of the corticospinal tract and determine its cognitive and functional correlates in older adults with late-life depression. Twenty-eight older adults with clinical depression and 23 healthy age-matched older adults participated in the study. The white matter volume and the white matter hyperintensities (WMHs) of the corticospinal tract, as well as the global WMHs, were measured. Psychomotor processing speed, severity of depression, perceived levels of energy and physical functioning were measured to examine the relationships among the correlates in the depressed participants. The right corticospinal tract volume was significantly higher in depressed older adults relative to healthy controls. Moreover, the right corticospinal tract volume was significantly associated with the overall severity of depression and accounted for 17% of its variance. It further attenuated the relationship between the severity of depression and perceived levels of energy. Our findings suggested that higher volume in the right corticospinal tract is implicated in LLD and may relate to lower perceived levels of energy experienced by older adults with depression.

A new cognitive bias modification technique to influence risk factors for eating disorders.

OBJECTIVE: Eating disorder psychopathology is associated with a propensity to interpret ambiguous stimuli to be negatively related to one's appearance and self-worth. The relative impact of modifying interpretation bias for these respective stimuli is unknown. Hence the main aim of the current study was to compare two cognitive bias modification protocols targeting interpretation bias (CBM-I), one focused on appearance and the other on self-worth, in terms of impacting interpretation bias, body dissatisfaction and negative affect. The appearance-based CBM-I protocol was developed for the current study. METHOD: Female university students (N = 123) were randomized into one of three CBM-I conditions: appearance, self-worth or control. Immediately following a negative induction that significantly increased body dissatisfaction and negative affect, participants underwent their respective CBM-I training. RESULTS: The CBM-I for appearance produced significant changes in the targeted bias, as well as significant improvements (moderate effect sizes) in appearance satisfaction, relative to the CBM-I for self-worth and control conditions. DISCUSSION: The results support the usefulness of the CBM-I for appearance protocol, and suggests that this technique warrants further investigation with respect to modifying interpretation bias and risk factors associated with eating disorder psychopathology. Null effects of CBM-I for self-worth should be interpreted in light of study limitations, including the potential unsuitability of training material for young women. CBM-I for both types of interpretation bias should be evaluated in future research.