Unified Protocol for the transdiagnostic treatment of emotional disorders in people with post COVID-19 condition: study protocol for a multiple baseline n-of-1 trial.

Background: Post COVID-19 syndrome, defined as the persistence of COVID-19 symptoms beyond 3 months, is associated with a high emotional burden. Post COVID-19 patients frequently present comorbid anxiety, depressive and related disorders (emotional disorders, EDs) which have an important impact on their quality of life. Unfortunately, psychological interventions to manage these EDs are rarely provided to post COVID-19 patients. Also importantly, most psychological interventions do not address comorbidity, namely simultaneous EDs present in COVID-19 patients. This study will explore the clinical utility and acceptability of a protocol-based cognitive-behavioral therapy called the Unified Protocol for the transdiagnostic treatment of EDs in patients suffering post COVID-19 condition. Methods: A multiple baseline n-of-1 trial will be used, as it allows participants to be their own comparison control. Sample will be composed of 60 patients diagnosed with post COVID-19 conditions and comorbid EDs from three Spanish hospitals. After meeting the eligibility criteria, participants will answer the pre-assessment protocol and then they will be randomly assigned to three different baseline conditions (6, 8, or 10 days of assessments before the intervention). Participants and professionals will be unblinded to participants' allocation. Once the baseline assessment has been completed, participants will receive the online psychological individual intervention through video-calls. The Unified Protocol intervention will comprise 8 sessions of a 1 h duration each. After the intervention, participants will answer the post-assessment protocol. Additional follow-up assessments will be conducted at one, three, six, and twelve months after the intervention. Primary outcomes will be anxiety and depressive symptoms. Secondary outcomes include quality of life, emotion dysregulation, distress tolerance, and satisfaction with the programme. Data analyses will include between-group and within-group differences and visual analysis of patients' progress. Discussion: Results from this study will be disseminated in scientific journals. These findings may help to provide valuable information in the implementation of psychological interventions for patients suffering post COVID-19 conditions. Clinical trial registration: https://clinicaltrials.gov, identifier (NCT05581277).

Perinatal mental e-health: What is the profile of pregnant women interested in online assessment of their emotional state?

AIM: This study explores the profile of pregnant women interested in the online assessment of their emotional status according to their sociodemographic and obstetric characteristics, history of psychopathology, and healthcare setting used (private vs. public). DESIGN: This is a comparative and descriptive cross-sectional study. METHOD: Participants were 281 Spanish pregnant women assessed with the MamáFeliz (HappyMom) website. RESULTS: Participants were probably to be unemployed, in a relationship, and generally had a high educational level and an intermediate economic status. Most of them were primiparous, had non-complicated natural pregnancies and presented healthy habits and good physical and emotional health, despite 31.3% of them had a history of psychological treatment. Our results reveal the profile of women interested in the online assessment of their emotional status, which can contribute to improving future initiatives to facilitate rapid screenings of perinatal mental health by nurses in both public and private settings.

Guiding future research on psychological interventions in people with COVID-19 and post COVID syndrome and comorbid emotional disorders based on a systematic review.

Objective: The COVID-19 pandemic has been emotionally challenging for the entire population and especially for people who contracted the illness. This systematic review summarizes psychological interventions implemented in COVID-19 and long COVID-19 patients who presented comorbid emotional disorders. Methods and measures: 3,839 articles were identified in 6 databases and 43 of them were included in this work. Two independent researchers selected the articles and assessed their quality. Results: 2,359 adults were included in this review. Severity of COVID-19 symptoms ranged from asymptomatic to hospitalized patients; only 3 studies included long COVID-19 populations. Similar number of randomized controlled studies (n = 15) and case studies (n = 14) were found. Emotional disorders were anxiety and/or depressive symptoms (n = 39) and the psychological intervention most represented had a cognitive behavioral approach (n = 10). Length of psychological programs ranged from 1-5 sessions (n = 6) to 16 appointments (n = 2). Some programs were distributed on a daily (n = 4) or weekly basis (n = 2), but other proposed several sessions a week (n = 4). Short (5-10 min, n = 4) and long sessions (60-90 min, n = 3) are proposed. Most interventions were supported by the use of technologies (n = 18). Important risk of bias was present in several studies. Conclusion: Promising results in the reduction of depressive, anxiety and related disorders have been found. However, important limitations in current psychological interventions were detected (i.e., duration, format, length, and efficacy of interventions were not consistently established across investigations). The results derived from our work may help to understand clinical practices in the context of pandemics and could guide future efforts to manage emotional suffering in COVID-19 patients. A stepped model of care could help to determine the dosage, length and format of delivery for each patient.Systematic review registration: PROSPERO 2022 CRD42022367227. Available from: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022367227.

Is there evidence that emotional reasoning processing underlies emotional disorders in adults? A systematic review.

The prevalence of emotional disorders has increased in recent times. Emotional Reasoning (ER), which is a transdiagnostic process, occurs when feelings, rather than objective evidence, are used as a source of information to make judgements about the valence of a situation. Differences in ER may explain the existence and maintenance of emotional disorders. The objective is to systematically review the role of ER in the occurrence and severity of emotional disorders. Following PRISMA guidelines, we searched through: PubMed, PsycInfo, Scopus and The Cochrane Library. Search terms were "Emotional Reasoning", "ex-consequentia reasoning", "Affect-as-information"; and "emotional disorders", "anxiety", "depression", "depressive". Nine articles were included. An association was demonstrated between ER and a greater degree of anxious symptomatological severity. In depressive symptomatology, no significant differences were found. One study reported the effect of Cognitive Behavioural Therapy on ER bias, finding no changes after the intervention. Finally, another study evaluated the efficacy of computerised experiential training in reducing ER bias, showing significant differences. There are few studies on ER and its evolution in research has not been uniform over time. Encouragingly, though, research to date suggests that ER is a transdiagnostic process involved in several anxiety disorders. More investigation is needed to dilucidate whether ER also underlies the onset and maintenance of depressive disorders.

Development and psychometric properties of the maternal ambivalence scale in spanish women.

BACKGROUND: maternal ambivalence, which refers to experiencing mixed emotions about motherhood, like happiness and sadness, is frequent during the perinatal period. AIM: Due to the relevance of this topic and the lack of psychometrically-sound instruments to measure it, this study aims to develop and test a measure of maternal ambivalence called the Maternal Ambivalence Scale (MAS). METHODS: in this cross-sectional, observational study, participants were 1424 Spanish women recruited online who were either pregnant (33%) or recent mothers of children under 2 years (67%). They responded to the MAS and measures of anxiety and depressive symptoms and life satisfaction. Analyses included exploratory and confirmatory factor solutions for the MAS, internal consistency estimates (Cronbach's α) for all scales, as well as bivariate correlations to investigate sources of validity evidence. Comparisons between pregnant and postpartum women were also examined. RESULTS: The assumptions for factor analysis about the relationship between items were met (Kaiser-Meyer-Olkin's [KMO] test = 0.90; Barlett's Chi-square sphericity test = 5853.89, p < .001). A three-factor solution (Doubts, Rejection, and Suppression) for the MAS showed a good model fit both in exploratory (Chi-square = 274.6, p < .001, Root Mean Square Error of Approximation [RMSEA] = 0.059, RMSEA 90% Confidence Interval [CI]=[0.052, 0.066], Comparative Fit Index [CFI] = 0.985, Tucker Lewis Index [TLI] = 0.974) and confirmatory analyses (Chi-square = 428.0, p < .001, RMSEA = 0.062, RMSEA 90% CI=[0.056, 0.068], CFI = 0.977, TLI = 0.971). Doubts (α = 0.83), Rejection (α = 0.70), and Suppression (α = 80) were associated with higher anxiety and depressive symptoms, as well as lower life satisfaction (all p < .001). Pregnant women presented greater Rejection (mean difference = 0.30, p = .037, 95% CI=[0.02, 0.58]) and less Suppression (mean difference=-0.47, p = .002, 95% CI=[-0.77,-0.17]) than mothers. CONCLUSION: with this study, we provide clinicians and researchers with a novel tool that successfully captures the complex nature of maternal ambivalence. Given the associations of maternal ambivalence with important outcomes in perinatal women, this tool could be important for the prevention of distress associated with chronic ambivalence and to evaluate the effectiveness of interventions addressing ambivalence.

Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review.

Emotional disorders are the most common mental disorders globally. Psychological treatments have been found to be useful for a significant number of cases, but up to 40% of patients do not respond to psychotherapy as expected. Artificial intelligence (AI) methods might enhance psychotherapy by providing therapists and patients with real- or close to real-time recommendations according to the patient's response to treatment. The goal of this investigation is to systematically review the evidence on the use of AI-based methods to enhance outcomes in psychological interventions in real-time or close to real-time. The search included studies indexed in the electronic databases Scopus, Pubmed, Web of Science, and Cochrane Library. The terms used for the electronic search included variations of the words "psychotherapy", "artificial intelligence", and "emotional disorders". From the 85 full texts assessed, only 10 studies met our eligibility criteria. In these, the most frequently used AI technique was conversational AI agents, which are chatbots based on software that can be accessed online with a computer or a smartphone. Overall, the reviewed investigations indicated significant positive consequences of using AI to enhance psychotherapy and reduce clinical symptomatology. Additionally, most studies reported high satisfaction, engagement, and retention rates when implementing AI to enhance psychotherapy in real- or close to real-time. Despite the potential of AI to make interventions more flexible and tailored to patients' needs, more methodologically robust studies are needed.

Mother-infant bonding screening in a sample of postpartum women: comparison between online vs offline format.

AIMS: We aim to study the the reliability and factorial structure of the Postpartum Bonding Questionnaire (PBQ)administered through two different formats, offline (paper-and-pencil) and online. We also compared clinical, obstetrical, reproductive, and psychopathological variables related to poor mother infant bonding (MIB). METHODS: A cross-sectional study was conducted on 1,269 mothers. The offline group included 812 women who attended a 40-day postpartum clinical appointment. The online group consisted of 457 women recruited during admission for delivery who volunteered to carry out the online protocol 40 days postpartum. All the participants individually completed the PBQ, the Edinburg Postnatal Depression Scale (EPDS) and other clinical and sociodemographic variables. RESULTS: The 4-factor solution proposed in the PBQ and its Spanish validation showed good model fit for both samples. Online participants reported higher levels of stress, depressive symptoms, and poor bonding, specifically on PBQ scores and the Rejection and Anger subscales. No differences were found in both samples regarding the type of statistical associations between PBQ and sociodemographic, reproductive, obstetric and psychological outcomes. CONCLUSION: Online assessment may be an appropriate option for detecting possible alterations in MIB due to the reduction of desirability bias, the increased perception of anonymity, and being a more cost-effective method.

mHealth for the Monitoring of Brace Compliance and Wellbeing in Adolescents with Idiopathic Scoliosis: Study Protocol for a Feasibility Study.

Attempts to optimize monitoring of brace adherence prescribed to adolescents with idiopathic scoliosis (IS) have generally relied on sensors. Sensors, however, are intrusive and do not allow the assessment of psychological and physical consequences of brace use that might underlie poor adherence. Mobile applications have emerged as alternatives to monitor brace compliance. However, the feasibility and utility of these app-based systems to assess key psychological and physical domains associated with non-adherence remain unexplored. This feasibility study aims to test the usability, acceptability, and clinical utility of an app-based system that monitors brace use and related psychological and physical factors. Forty adolescents with IS daily respond to the app for 90 days. The patient responses may generate clinical alarms (e.g., brace non-adherence, discomfort, or distress) that will be sent daily to the medical team. Primary outcomes will be app usability, acceptability, and response rates. Secondary outcomes will include brace adherence, the number of side effects reported, number and type of clinical alarms, stress, quality of life, perceived health status, and mood. If accepted by patients and clinicians, apps may allow rapid detection and response to undesired events in adolescents undergoing brace treatment.

Characterizing Breakthrough Cancer Pain Using Ecological Momentary Assessment with a Smartphone App: Feasibility and Clinical Findings.

BACKGROUND: mobile applications (apps) facilitate cancer pain ecological momentary assessment (EMA) and provide more reliable data than retrospective monitoring. The aims of this study are (a) to describe the status of persons with cancer pain when assessed ecologically, (b) to analyze the utility of clinical alarms integrated into the app, and (c) to test the feasibility of implementing an app for daily oncological pain monitoring. METHODS: in this feasibility study, 21 patients (mean age = 56.95 years, SD = 10.53, 81.0% men) responded to an app-based evaluation of physical status (baseline and breakthrough cancer pain (BTcP)) and mental health variables (fatigue, mood, and coping) daily during 30 days. RESULTS: cancer pain characterization with the app was similar to data from the literature using retrospective assessments in terms of BTcP duration and perceived medication effectiveness. However, BTcP was less frequent when evaluated ecologically. Pain, fatigue, and mood were comparable in the morning and evening. Passive coping strategies were the most employed daily. Clinical alarms appear to be useful to detect and address adverse events. App implementation was feasible and acceptable. CONCLUSION: apps reduce recall bias and facilitate a rapid response to adverse events in oncological care. Future efforts should be addressed to integrate EMA and ecological momentary interventions to facilitate pain self-management via apps.

Predicting the Physical and Mental Health Status of Individuals With Chronic Musculoskeletal Pain From a Biopsychosocial Perspective: A Multivariate Approach.

OBJECTIVES: Chronic pain is theoretically conceptualized from a biopsychosocial perspective. However, research into chronic pain still tends to focus on isolated, biological, psychological, or social variables. Simultaneous examination of these variables in the prediction of outcomes is important because communalities between predictors exist. Examination of unique contributions might help guide research and interventions in a more effective way. METHODS: The participants were 114 individuals with chronic pain (mean age=58.81, SD=11.85; 58.8% women and 41.2% men) who responded to demographics (age and sex), pain characteristics (duration and sensory qualities), psychological (catastrophizing and perceived injustice), and social (marital adjustment) measures. Multivariate analyses were conducted to investigate their unique contributions to pain-related health variables pain severity, pain interference, disability, anxiety, and depressive symptoms. RESULTS: Bivariate analyses evidenced significant associations between pain sensory qualities, catastrophizing, perceived injustice, and all health variables. In multivariate analyses, pain sensory qualities were associated with pain severity (ß=0.10; 95% confidence interval [CI]=0.05, 0.14; t=4.28, P<0.001), while perceived injustice was associated with pain interference (ß=0.08; 95% CI=0.03, 0.12; t=3.59, P<0.001), disability (ß=0.25; 95% CI=0.08, 0.42; t=2.92, P=0.004), anxiety (ß=0.18; 95% CI=0.08, 0.27; t=3.65, P<0.001), and depressive symptoms (ß=0.14; 95% CI=0.05, 0.23; t=2.92, P=0.004). Age, sex, pain duration, and marital adjustment were not associated with health variables either in bivariate or in multivariate analyses (all P>0.010). DISCUSSION: As expected, communalities between biopsychosocial variables exist, which resulted in a reduced number of unique contributions in multivariate analyses. Perceived injustice emerged as a unique contributor to variables, which points to this psychological construct as a potentially important therapeutic target in multidisciplinary treatment of pain.

Predicting Postpartum Depressive Symptoms from Pregnancy Biopsychosocial Factors: A Longitudinal Investigation Using Structural Equation Modeling.

The prediction of postpartum depression (PPD) should be conceptualized from a biopsychosocial perspective. This study aims at exploring the longitudinal contribution of a set of biopsychosocial factors for PPD in perinatal women. A longitudinal study was conducted, assessment was made with a website and included biopsychosocial factors that were measured during pregnancy (n = 266, weeks 16-36), including age, affective ambivalence, personality characteristics, social support and depression. Depression was measured again at postpartum (n = 101, weeks 2-4). The analyses included bivariate associations and structural equation modeling (SEM). Age, affective ambivalence, neuroticism, positive, and negative affect at pregnancy were associated with concurrent depression during pregnancy (all p < 0.01). Age, affective ambivalence, positive affect, and depression at pregnancy correlated with PPD (all p < 0.05). Affective ambivalence (ß = 1.97; p = 0.003) and positive (ß = -0.29; p < 0.001) and negative affect (ß = 0.22; p = 0.024) at pregnancy remained significant predictors of concurrent depression in the SEM, whereas only age (ß = 0.27; p = 0.010) and depression (ß = 0.37; p = 0.002) at pregnancy predicted PPD. Biopsychosocial factors are clearly associated with concurrent depression at pregnancy, but the stability of depression across time limits the prospective contribution of biopsychosocial factors. Depression should be screened early during pregnancy, as this is likely to persist after birth. The use of technology, as in the present investigation, might be a cost-effective option for this purpose.

Can We Predict the Evolution of Depressive Symptoms, Adjustment, and Perceived Social Support of Pregnant Women from Their Personality Characteristics? A Technology-Supported Longitudinal Study.

Background: Research exploring the relationship between personality and important pregnancy outcomes (i.e., depressive symptoms, adjustment, and perceived social support) tends to be cross-sectional, arguably due to the difficulties of conducting longitudinal and mental health research in this population. The objective of this study is to use a web-based solution to longitudinally explore how personality traits are associated, not only with the co-occurrence of these outcomes but also with their evolution during pregnancy. Stability and change of these outcomes will also be investigated. Methods: The sample included 85 pregnant women attending several medical centers in Spain. The web-based assessment included sociodemographic and obstetric variables (ad hoc) and personality (at the second trimester only), and outcomes at both the second and the third trimester (i.e., depressive symptoms, adjustment, and perceived social support). Results: The results showed that adjustment worsened from the second to the third trimester of pregnancy. Neuroticism (N), low extraversion (E), and psychoticism (P) were cross-sectionally and longitudinally associated with outcomes. In addition, N and, to a lesser extent P, uniquely contributed to the evolution of these outcomes in the multivariate analyses, including autoregressions. Conclusion: Personality and especially N and P should be evaluated early during pregnancy mental health screening. The use of a web page appears to be a useful tool for that purpose. Technologies might also help disseminate mental health prevention programs for these women, which would be especially recommended for those with a personality profile characterized by high N and P and, to a lesser extent, low E.

How Are Information and Communication Technologies Supporting Routine Outcome Monitoring and Measurement-Based Care in Psychotherapy? A Systematic Review.

Psychotherapy has proven to be effective for a wide range of mental health problems. However, not all patients respond to the treatment as expected (not-on-track patients). Routine outcome monitoring (ROM) and measurement-based care (MBC), which consist of monitoring patients between appointments and using this data to guide the intervention, have been shown to be particularly useful for these not-on-track patients. Traditionally, though, ROM and MBC have been challenging, due to the difficulties associated with repeated monitoring of patients and providing real-time feedback to therapists. The use of information and communication technologies (ICTs) might help reduce these challenges. Therefore, we systematically reviewed evidence regarding the use of ICTs for ROM and MBC in face-to-face psychological interventions for mental health problems. The search included published and unpublished studies indexed in the electronic databases PubMed, PsycINFO, and SCOPUS. Main search terms were variations of the terms "psychological treatment", "progress monitoring or measurement-based care", and "technology". Eighteen studies met eligibility criteria. In these, ICTs were frequently handheld technologies, such as smartphone apps, tablets, or laptops, which were involved in the whole process (assessment and feedback). Overall, the use of technology for ROM and MBC during psychological interventions was feasible and acceptable. In addition, the use of ICTs was found to be effective, particularly for not-on-track patients, which is consistent with similar non-ICT research. Given the heterogeneity of reviewed studies, more research and replication is needed to obtain robust findings with different technological solutions and to facilitate the generalization of findings to different mental health populations.

Empathic Accuracy in Chronic Pain: Exploring Patient and Informal Caregiver Differences and Their Personality Correlates.

BACKGROUND AND OBJECTIVES: Social factors have demonstrated to affect pain intensity and quality of life of pain patients, such as social support or the attitudes and responses of the main informal caregiver. Similarly, pain has negative consequences on the patient's social environment. However, it is still rare to include social factors in pain research and treatment. This study compares patient and caregivers' accuracy, as well as explores personality and health correlates of empathic accuracy in patients and caregivers. MATERIALS AND METHODS: The study comprised 292 chronic pain patients from the Pain Clinic of the Vall d'Hebron Hospital in Spain (main age = 59.4 years; 66.8% females) and their main informal caregivers (main age = 53.5 years; 51.0% females; 68.5% couples). RESULTS: Patients were relatively inaccurate at estimating the interference of pain on their counterparts (t = 2.16; p = 0.032), while informal caregivers estimated well the patient's status (all differences p > 0.05). Empathic accuracy on patient and caregiver status did not differ across types of relationship (i.e., couple or other; all differences p > 0.05). Sex differences in estimation only occurred for disagreement in pain severity, with female caregivers showing higher overestimation (t = 2.18; p = 0.030). Patients' health status and caregivers' personality were significant correlates of empathic accuracy. Overall, estimation was poorer when patients presented higher physical functioning. Similarly, caregiver had more difficulties in estimating the patient's pain interference as patient general and mental health increased (r = 0.16, p = 0.008, and r = 0.15, p = 0.009, respectively). Caregiver openness was linked to a more accurate estimation of a patient's status (r = 0.20, p < 0.001), while caregiver agreeableness was related to a patient's greater accuracy of their caregivers' pain interference (r = 0.15, p = 0.009). CONCLUSIONS: Patients poorly estimate the impact of their illness compared to caregivers, regardless of their relationship. Some personality characteristics in the caregiver and health outcomes in the patient are associated with empathic inaccuracy, which should guide clinicians when selecting who requires more active training on empathy in pain settings.

The Use of Information and Communication Technologies in Perinatal Depression Screening: A Systematic Review.

Perinatal mental illness refers to psychiatric disorders that exist during pregnancy and up to 1 year after childbirth. The aim of this systematic review was to discuss the use of Information and Communication Technologies (ICTs) on perinatal depression (PeD) screening in the past three decades. Published articles were searched between 1990 and 2018, both in English and Spanish. In the search, we used different keywords, such as "pregnancy," "depression," or "technology" in ScienceDirect, PubMed-NCBI, and Web of Science. We found 10 articles that combined the use of ICTs and a focus on PeD screening. Studied periods included pregnancy (n = 2) and postpartum (n = 8). The telephone was the most commonly used communication method (n = 5), followed by the Internet (n = 4). One investigation used both, the telephone and the Internet. The Edinburgh Postnatal Depression Scale was the most frequently used screening measure (n = 8). The proportion of depressed perinatal women varied across studies depending on the pregnancy status and the cutoff values used, showing a very broad range between 5.8 and 51.9 percent. Despite the increasing popularity of ICTs in health settings, their use in perinatal mental health screening is still rare. Overall, encouraging findings have been reported when using ICTs for screening of PeD, such as eliminating the need to travel to the health center to conduct the screening and allowing for a wider dissemination. However, more research is needed to support their inclusion in perinatal care.