How the COVID-19 Pandemic and its Consequences Affect the Presence of and Search for Meaning of Life: A Longitudinal Study.

The presence of meaning in life (PML) and the search for meaning in life (SML) are crucial when facing difficult times. Although several theoretical frameworks have tried to explain the dynamics of meaning in life during adversity, empirical evidence about interactions among both constructs using longitudinal designs is scarce. This study examined the trajectories of both PML and SML during the COVID-19 lockdown period in Spain. In total, 220 adults fulfilled an online survey during two periods: a strict and a relaxed lockdown period. Latent growth models showed that both PML and SML declined slightly during the strict lockdown, but they reached a plateau during the relaxed lockdown. Results also showed that age and having a partner predicted higher PML and lower SML at baseline, whereas being male predicted higher scores on PML. PML and SML were negatively associated at baseline, higher SML at baseline was related to a steeper decreasing PML slope during the strict lockdown, and the PML and SML slopes in the relaxed lockdown period were negatively related. This study contributes to better understanding longitudinal fluctuations of meaning in life in situations of adversity.

Effectiveness of the Internet Attachment-Based Compassion Therapy (iABCT) to improve the quality of life and well-being in a population with chronic medical illness: A study protocol of a randomized controlled trial (SPIRIT compliant).

BACKGROUND: Chronic medical illnesses significantly and negatively affect the quality of life of individuals who suffer them and represent one of the most important challenges faced by healthcare providers and policy-makers due to its rising prevalence and high rates of comorbidity. Compassion-based interventions delivered over the Internet may be a useful approach to facilitate illness management and improve the quality of life of individuals with chronic medical conditions. OBJECTIVES: The purpose of this study is to describe a protocol for a randomized controlled trial to test the efficacy of the Internet Attachment-Based Compassion Therapy (iABCT) to improve the quality of life and well-being of patients with chronic medical illnesses. METHOD: A two-arm, parallel-group, randomized controlled trial (RCT) will be carried out, with three assessment points (baseline, 3-month, and 6-month) under two conditions: intervention group and control group (waiting list). The primary outcomes include the quality of life on the EuroQol 5-Dimensions Questionnaire (EQ-5D) and the Pemberton Happiness Index (PHI). Secondary outcomes, such as compassion, self-care behaviors, illness interference, self-criticism, symptomatology, attachment styles, social support, and illness perception, will be considered. Moreover, an assessment on satisfaction and usability will be carried out. A total of 68 participants as minimum will be recruited (34 per arm). Intent-to-treat mixed-model analyses without any ad hoc imputations will be conducted. CONCLUSIONS: Findings of this study will provide new insights into the potential of self-applied compassion-based interventions (CBI) delivered online in the context of chronic medical illnesses, considering aspects of their implementation (e.g., facilitators, barriers) and mechanisms of change. TRIAL REGISTRATION: The study is registered under Clinicaltrials.gov (NCT04809610) and it is currently in the participant recruitment phase.

mHealth intervention to improve quality of life in patients with chronic diseases during the COVID-19 crisis in Paraguay: A study protocol for a randomized controlled trial.

BACKGROUND: Patients with chronic disease represent an at-risk group in the face of the COVID-19 crisis as they need to regularly monitor their lifestyle and emotional management. Coping with the illness becomes a challenge due to supply problems and lack of access to health care facilities. It is expected these limitations, along with lockdown and social distancing measures, have affected the routine disease management of these patients, being more pronounced in low- and middle-income countries with a flawed health care system. OBJECTIVES: The purpose of this study is to describe a protocol for a randomized controlled trial to test the efficacy of the Adhera® MejoraCare Digital Program, an mHealth intervention aimed at improving the quality of life of patients with chronic diseases during the COVID-19 outbreak in Paraguay. METHOD: A two-arm randomized controlled trial will be carried out, with repeated measures (baseline, 1-month, 3-month, 6-month, and 12-month) under two conditions: Adhera® MejoraCare Digital Program or waiting list. The primary outcome is a change in the quality of life on the EuroQol 5-Dimensions 3-Levels Questionnaire (EQ-5D-3L). Other secondary outcomes, as the effect on anxiety and health empowerment, will be considered. All participants must be 18 years of age or older and meet the criteria for chronic disease. A total of 96 participants will be recruited (48 per arm). CONCLUSIONS: It is expected that the Adhera® MejoraCare Digital Program will show significant improvements in quality of life and emotional distress compared to the waiting list condition. Additionally, it is hypothesized that this intervention will be positively evaluated by the participants in terms of usability and satisfaction. The findings will provide new insights into the viability and efficacy of mHealth solutions for chronic disease management in developing countries and in times of pandemic. TRIAL REGISTRATION: ClinicalTrials.gov NCT04659746.

Too many lemons to make lemonade? Disentangling mental health during the third wave of COVID-19 infections in Spain.

The study aimed to analyze the longitudinal change in mental health during the third wave of COVID-19 infections in Spain. Negative (e.g., emotional distress) and positive (e.g., positive functioning variables) outcomes were analyzed. Protective factors (e.g., resilience) as predictors of psychological adjustment (i.e., positive mental health, openness to the future, and low burden due to COVID-19) after ten months of the pandemic were also examined. The sample consisted of 164 participants, and self-reported questionnaires were administered at the beginning of the lockdown (March 2020), at the end of the lockdown (June 2020), and during the third wave (January 2021). Linear mixed models showed that individuals' emotional distress increased, and positive functioning variables (i.e., meaning in life, gratitude, resilience, and life satisfaction) decreased over time, but an increase was observed in some dimensions of posttraumatic growth. Regression analyses showed that resilience scores at all three data collection time points were significant predictors of positive mental health, openness to the future, and burden during the third wave. Mediation analyses showed that positive mental health and openness to the future were mediators of the effect of resilience on burden. The prolonged situation of the COVID-19 crisis had an important impact on positive and negative mental health. However, resilience may help to build up resources that can act as a buffer against adverse psychological effects.

What is the Current and Future Status of Digital Mental Health Interventions?

The prevalence of mental disorders continues to increase, especially with the advent of the COVID-19 pandemic. Although we have evidence-based psychological treatments to address these conditions, most people encounter some barriers to receiving this help (e.g., stigma, geographical or time limitations). Digital mental health interventions (e.g., Internet-based interventions, smartphone apps, mixed realities -virtual and augmented reality) provide an opportunity to improve accessibility to these treatments. This article summarizes the main contributions of the different types of digital mental health solutions. It analyzes their limitations (e.g., drop-out rates, lack of engagement, lack of personalization, lack of cultural adaptations) and showcases the latest sophisticated and innovative technological advances under the umbrella of precision medicine (e.g., digital phenotyping, chatbots, or conversational agents). Finally, future challenges related to the need for real world implementation of these interventions, the use of predictive methodology, and hybrid models of care in clinical practice, among others, are discussed.

Exploring the Heterogeneity and Trajectories of Positive Functioning Variables, Emotional Distress, and Post-traumatic Growth During Strict Confinement Due to COVID-19.

COVID-19 pandemic-related confinement may be a fruitful opportunity to use individual resources to deal with it or experience psychological functioning changes. This study aimed to analyze the evolution of different psychological variables during the first coronavirus wave to identify the different psychological response clusters, as well as to keep a follow-up on the changes among these clusters. The sample included 459 Spanish residents (77.8% female, Mage = 35.21 years, SDage = 13.00). Participants completed several online self-reported questionnaires to assess positive functioning variables (MLQ, Steger et al. in J Loss Trauma 13(6):511-527, 2006. 10.1080/15325020802173660; GQ-6, McCullough et al. in J Person Soc Psychol 82:112-127, 2002. 10.1037/0022-3514.82.1.112; CD-RISC, Campbell-Sills and Stein in J Traum Stress 20(6):1019-1028, 2007. 10.1002/jts.20271; CLS-H, Chiesi et al. in BMC Psychol 8(1):1-9, 2020. 10.1186/s40359-020-0386-9; SWLS; Diener et al. in J Person Assess, 49(1), 71-75, 1985), emotional distress (PHQ-2, Kroenke et al. in Med Care 41(11):1284-1292, 2003. 10.1097/01.MLR.0000093487.78664.3C; GAD-2, Kroenke et al. in Ann Internal Med 146(5):317-325, 2007. 10.7326/0003-4819-146-5-200703060-00004; PANAS, Watson et al. in J Person Soc Psychol 47:1063-1070, 1988; Perceived Stress, ad hoc), and post-traumatic growth (PTGI-SF; Cann et al. in Anxiety Stress Coping 23(2):127-137, 2010. 10.1080/10615800903094273), four times throughout the 3 months of the confinement. Linear mixed models showed that the scores on positive functioning variables worsened from the beginning of the confinement, while emotional distress and personal strength improved by the end of the state of alarm. Clustering analyses revealed four different patterns of psychological response: "Survival", "Resurgent", "Resilient", and "Thriving" individuals. Four different profiles were identified during mandatory confinement and most participants remained in the same cluster. The "Resilient" cluster gathered the largest number of individuals (30-37%). We conclude that both the heterogeneity of psychological profiles and analysis of positive functioning variables, emotional distress, and post-traumatic growth must be considered to better understand the response to prolonged adverse situations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10902-021-00469-z.

Corrigendum: Elena+ Care for COVID-19, a Pandemic Lifestyle Care Intervention: Intervention Design and Study Protocol.

[This corrects the article DOI: 10.3389/fpubh.2021.625640.].

Psychometric properties of the Spanish version of the Patient Health Questionnaire-9 in users of the Ecuadorian public health care system

Introduction: Depression is one of the most prevalent public health problems worldwide and remains an underdiagnosed disease, especially in developing countries. The availability of instruments that permit detecting this problem is essential for reducing the burden of this disorder. The aim of this study was to examine the psychometric properties (factor structure, sex invariance, internal consistency, and convergent and divergent validity) of the Spanish version of the PHQ-9 (Patient Health Questionnaire-9). Method: A sample of 366 public hospital users in Ecuador was recruited and accordingly completed a survey that included sociodemographic data, the PHQ-9, and other standards of measurement such as the Beck Depression Inventory-II (BDI-II), the Generalised Anxiety Disorder Scale (GAD-7), the Positive and Negative Affect Scale (PANAS), and the Quality-of-Life Index (QLI). Results: The unidimensional factor model of the PHQ-9 provided the best fit for the data. The PHQ-9 assesses depressive symptoms equivalently in both sexes, and presents high internal consistency, as well as good convergent and divergent validity with the other constructs. Conclusion: The application of the PHQ-9 could aid in the screening of patients with depressive symptomatology in the Ecuadorian public health system (EPHS).

Introducción: La depresión es uno de los problemas de salud pública más prevalentes a nivel mundial, y suele ser subdiagnosticada especialmente en países en vías de desarrollo. Contar con instrumentos que permitan realizar un cribado de este problema es fundamental para reducir el costo de este trastorno. El objetivo de este artículo fue examinar las propiedades psicométricas (estructura factorial, invarianza en función del sexo, consistencia interna, validez convergente y divergente) de la versión española del PHQ-9 (Patient Health Questionnaire-9). Método: Se reclutó una muestra de 366 usuarios de un hospital público en Ecuador, los cuales respondieron una encuesta que incluía datos sociodemográficos, el PHQ-9, el inventario de depresión de Beck-II (BDI-II), la Escala de Trastorno de Ansiedad Generalizada-7 (GAD-7), la Escala de Afecto Positivo y Negativo (PANAS), y el índice de calidad de vida (QLI). Resultados: El modelo unidimensional del PHQ-9 proporcionó mejor ajuste de los datos. El PHQ-9 evalúa síntomas depresivos de forma equivalente en ambos sexos y presenta una elevada consistencia interna, así como una buena validez convergente y divergente con el resto de los constructos. Conclusión: La administración del PHQ-9 podría apoyar el cribado de pacientes con sintomatología depresiva en el sistema público de salud ecuatoriano (SSPE).

Elena+ Care for COVID-19, a Pandemic Lifestyle Care Intervention: Intervention Design and Study Protocol.

Background: The current COVID-19 coronavirus pandemic is an emergency on a global scale, with huge swathes of the population required to remain indoors for prolonged periods to tackle the virus. In this new context, individuals' health-promoting routines are under greater strain, contributing to poorer mental and physical health. Additionally, individuals are required to keep up to date with latest health guidelines about the virus, which may be confusing in an age of social-media disinformation and shifting guidelines. To tackle these factors, we developed Elena+, a smartphone-based and conversational agent (CA) delivered pandemic lifestyle care intervention. Methods: Elena+ utilizes varied intervention components to deliver a psychoeducation-focused coaching program on the topics of: COVID-19 information, physical activity, mental health (anxiety, loneliness, mental resources), sleep and diet and nutrition. Over 43 subtopics, a CA guides individuals through content and tracks progress over time, such as changes in health outcome assessments per topic, alongside user-set behavioral intentions and user-reported actual behaviors. Ratings of the usage experience, social demographics and the user profile are also captured. Elena+ is available for public download on iOS and Android devices in English, European Spanish and Latin American Spanish with future languages and launch countries planned, and no limits on planned recruitment. Panel data methods will be used to track user progress over time in subsequent analyses. The Elena+ intervention is open-source under the Apache 2 license (MobileCoach software) and the Creative Commons 4.0 license CC BY-NC-SA (intervention logic and content), allowing future collaborations; such as cultural adaptions, integration of new sensor-related features or the development of new topics. Discussion: Digital health applications offer a low-cost and scalable route to meet challenges to public health. As Elena+ was developed by an international and interdisciplinary team in a short time frame to meet the COVID-19 pandemic, empirical data are required to discern how effective such solutions can be in meeting real world, emergent health crises. Additionally, clustering Elena+ users based on characteristics and usage behaviors could help public health practitioners understand how population-level digital health interventions can reach at-risk and sub-populations.

A Low-Intensity Internet-Based Intervention Focused on the Promotion of Positive Affect for the Treatment of Depression in Spanish Primary Care: Secondary Analysis of a Randomized Controlled Trial.

Background: A large number of low-intensity Internet-based interventions (IBIs) for the treatment of depression have emerged in Primary Care; most of them focused on decreasing negative emotions. However, recent studies have highlighted the importance of addressing positive affect (PA) as well. This study is a secondary analysis of a randomized control trial. We examine the role of an IBI focused on promoting PA in patients with depression in Primary Care (PC). The specific objectives were to explore the profile of the patients who benefit the most and to analyze the change mechanisms that predict a significantly greater improvement in positive functioning measures. Methods: 56 patients were included. Measures of depression, affect, well-being, health-related quality of life, and health status were administered. Results: Participants who benefited the most were those who had lower incomes and education levels and worse mental health scores and well-being at baseline (7.9%-39.5% of explained variance). Improvements in depression severity and PA were significant predictors of long-term change in well-being, F (3,55) = 17.78, p < 0.001, R2 = 47.8%. Conclusions: This study highlights the importance of implementing IBIs in PC and the relevance of PA as a key target in Major Depressive Disorder treatment.

Working Alliance Inventory for Online Interventions-Short Form (WAI-TECH-SF): The Role of the Therapeutic Alliance between Patient and Online Program in Therapeutic Outcomes.

BACKGROUND: Therapeutic alliance (TA) between the patient and therapist has been related to positive therapeutic outcomes. Because Internet-based interventions are increasingly being implemented, a tool is needed to measure the TA with Internet-based self-guided programs. The Working Alliance Inventory for online interventions (WAI-TECH-SF) was adapted based on the WAI Short Form (Hatcher & Gillaspy, 2006). The objectives of this study were: (1) to analyse the psychometric properties of the WAI-TECH-SF; (2) to explore the differences in the WAI-TECH-SF scores according to different categories of the sample; and (3) to analyse whether the WAI-TECH-SF can predict therapeutic outcomes and satisfaction with the treatment. METHODS: 193 patients diagnosed with depression were included and received blended Cognitive-Behavioural Therapy. Measures of preferences, satisfaction, and credibility about the treatment, TA with the online program, depressive symptoms, and satisfaction with the treatment were administered. RESULTS: An exploratory factor analysis revealed a one-dimensional structure with adequate internal consistency. Linear regression analyses showed that the WAI-TECH-SF predicted changes in depressive symptoms and satisfaction with the treatment. CONCLUSIONS: WAI-TECH-SF is a reliable questionnaire to assess the TA between the patient and the online program, which is associated with positive therapeutic outcomes and satisfaction with the treatment.

Efficacy of a cognitive and behavioral treatment for childhood obesity supported by the ETIOBE web platform.

Recently, the prevalence of childhood obesity has increased alarmingly. Interventions combining eating habits, physical activity (PA), behavioral components, and family support have been shown to be effective, although variables such as self-efficacy beliefs and motivation seem to be important in achieving stable changes. Information and communication technologies (ICTs) can provide additional resources to traditional treatments. The objective is to analyze the efficacy of two treatments: a cognitive and behavioral treatment (CBT) focused on the promotion of healthy eating and PA habits, and this CBT intervention supported by a web platform (ETIOBE). Forty-seven obese children were randomized to these two conditions. Anthropometrical measures were evaluated before and after treatment and at follow-up. Self-efficacy and motivation questionnaires were filled out in the first and last intervention sessions. Mixed ANOVAs were performed for all variables. Simple mediation analyses were conducted to test whether the effect of condition on the post-intervention anthropometrical variable scores were mediated by self-efficacy. Results revealed that both treatments produced an improvement in the anthropometrical variables. CBT-E participants showed more PA self-efficacy as the treatment progressed and lower BMIz, lower fat mass, and higher lean mass. These results suggest that ICT help to improve the effects of childhood obesity interventions.

Clients' Experiences With Internet-Based Psychological Treatments for Mental Disorders: Protocol for a Metasynthesis of Qualitative Studies.

BACKGROUND: Given the rise of internet-based treatments as an effective therapeutic tool for psychological disorders, it is necessary to carry out research that examines clients' experiences with this type of intervention. The qualitative methodology has been found to be useful for analyzing clients' perceptions in terms of facilitators and barriers, acceptability, and negative effects of internet-based treatments. However, a lack of integration of these primary studies has prevented their findings from being applied to new research and in clinical practice. OBJECTIVE: The objective of this paper is to describe the protocol for a metasynthesis of qualitative studies exploring the experiences of clients who underwent an internet-based treatment. METHODS: Elliot and Timulak's metasynthesis approach will be used to review and synthesize qualitative studies related to client experiences in terms of the barriers and facilitators they perceived when undergoing internet-based treatment. For each search string, the features in the Sample, Phenomenon of Interest, Design, Evaluation, Research type (SPIDER) tool will be considered. Electronic databases (PubMed, PsycINFO, and Web of Science) will be searched. Two independent reviewers will analyze the material in order to determine whether the eligibility criteria are fulfilled. Findings will make it possible to create a hierarchy of domains in terms of their relevance across all the primary studies. The data obtained from primary studies will be cross-analyzed using descriptive and interpretative procedures. RESULTS: The search strategy is currently being conducted. First results are expected to be submitted for publication in 2019. CONCLUSIONS: We will develop conceptual framework of the barriers and facilitators perceived by clients and propose their implications and recommendations for clinical practice, research, and training. TRIAL REGISTRATION: PROSPERO CRD42018079894; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=79894 (Archived by WebCite at http://www.webcitation.org/73C6OtlS7). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/9722.

Efficacy and cost-effectiveness of a blended cognitive behavioral therapy for depression in Spanish primary health care: study protocol for a randomised non-inferiority trial.

BACKGROUND: Data from primary health care in Spain show a high prevalence of the major depressive disorder. Blended treatment (combination of face-to-face and online components) seems to be a very promising tool for the optimization and dissemination of psychological treatments in a cost-effective form. Although there is growing data that confirm the advantages of blended therapies, few studies have analyzed their application in regular clinical practice. The objective of the present paper is to describe the protocol for a clinical study aimed at exploring the clinical and cost-effectiveness of a blended cognitive behavioral therapy (b-CBT) for depression, compared to treatment as usual (TAU) in a primary health care setting. METHODS: A two-arm randomised controlled non-inferiority trial will be carried out, with repeated measures (baseline, 3 months, 6 months, and 12 months) under two conditions: b-CBT and TAU. The b-CBT program will consist in three face-to-face sessions and eight online sessions. The TAU is defined as the routine care delivered by the general practitioner for the treatment of depression in primary care. The primary outcome is a symptomatic change of depressive symptoms on the patient-health questionnaire (PHQ-9). Other secondary outcomes will be considered (e.g., quality of life, treatment preference). All participants must be 18 years of age or older and meet the diagnostic criteria for major depressive disorder according to the Diagnostic and Statistical Manual of Mental disorders 4th edition. 156 participants will be recruited (78 per arm). DISCUSSION: It is expected that b-CBT is clinically non-inferior when compared to TAU. This is the first study in Spain to use a b-CBT format in primary and specialized care, and this format could be an efficacious and cost-effective therapeutic strategy for the treatment of depression. TRIAL REGISTRATION: ClinicalTrials.gov NCT02361684. Registered on 8 January 2015. Currently recruiting participants.