Clinical Psychology Review最新文献

Background

The diagnosis Prolonged Grief Disorder (PGD) has recently been included in ICD-11 and DSM-5-TR. To identify individuals who need help coping with grief, knowledge is needed about who is at risk of developing PGD. We, therefore, conducted a comprehensive systematic review and meta-analysis of the available literature on risk factors for prolonged grief symptoms (PGS).

Methods

Based on a literature search in PsycInfo, PubMed, Web of Science, and CINAHL, we included the most frequently investigated risk factors in a meta-analysis. The effect size correlation was used as the standardized measure of the strength of the association between the risk factor and PGS.

Results

Based on 120 studies of 61.580 participants published between 1989 and 2023, 19 risk factors were included in the meta-analysis. For the adjusted associations, the strongest associations with PGS were pre-loss grief symptoms (ESr = 0.39, 95%CI[0.24–0.53]) and depression (ESr = 0.30, 95%CI[0.13–0.44]). Small, but statistically significant associations were observed for unexpected death, violent/unnatural death, low educational level, low income, female gender, anxious attachment style, and death of a child or partner.

Conclusions

An updated overview of risk factors for PGS is presented, including their predictive strength. The results offer knowledge that can aid prevention and early identification of people at risk of PGD.

Burgeoning technologies and the COVID-19 pandemic resulted in a boom of telehealth for immunocompromised patients, such as those with cancer. Telehealth modalities overcome barriers and promote accessibility to care. Currently, efficacious psychosocial interventions exist to address negative aftereffects of a cancer diagnosis and treatment. Many of these interventions often incorporate asynchronous telehealth (e.g., web-based, smartphone mobile app) features. However, asynchronous platforms are limited by suboptimal engagement. Subjective indicators of perceived engagement in the forms of acceptability, feasibility, and adherence are often captured, yet prior research has found discrepancies between perceived and actual engagement. The FITT (frequency, intensity, time/duration, type of engagement) model, originally developed for use to quantify engagement within exercise trials, provides a framework to assess objective engagement of psychosocial interventions for breast cancer. Using 14 keywords and searching six databases through 11/2023, 56 studies that used asynchronous telehealth interventions in breast cancer were identified. All FITT domains were reported at least once across studies with intensity metrics most commonly reported. Nine metrics were described across FITT domains. Human-centered design principles to guide telehealth development and privacy considerations are discussed. Findings offer suggestions for how to represent and optimize objective engagement in asynchronous telehealth cancer care.

The Reading the Mind in the Eyes Test (RMET) is one of the most influential measures of social cognitive ability, and it has been used extensively in clinical populations. However, questions have been raised about the validity of RMET scores. We conducted a systematic scoping review of the validity evidence reported in studies that administered the RMET (n = 1461; of which 804 included at least one clinical sample) with a focus on six key dimensions: internal consistency, test-retest reliability, factor structure, convergent validity, discriminant validity, and known group validity. Strikingly, 63% of these studies failed to provide validity evidence from any of these six categories. Moreover, when evidence was reported, it frequently failed to meet widely accepted validity standards. Overall, our results suggest a troubling conclusion: the validity of RMET scores (and the research findings based on them) are largely unsubstantiated and uninterpretable. More broadly, this project demonstrates how unaddressed measurement issues can undermine a voluminous psychological literature.

Internalized sexual stigma is a well-established risk factor for poor mental health among sexual minority individuals. However, there has been no synthesis of the literature pertaining to risk and protective factors that influence the development of internalized sexual stigma over time. This systematic review presents findings from 31 studies addressing this question (n = 9192); 23 studies examined psychosocial and sociodemographic predictors of internalized sexual stigma among sexual minority individuals, and eight studies tested the effects of psychological interventions on internalized sexual stigma. Longitudinal studies highlight the stability of internalized sexual stigma over time, and the role of stigma and discrimination, proximal minority stressors (e.g., outness, concealment), and psychological factors (e.g., depressive and anxious symptoms, coping styles, and demoralization) in predicting subsequent internalized sexual stigma. Demographic factors appear to play only a limited role in predicting subsequent internalized sexual stigma. Finally, most intervention studies found no significant effects in reducing internalized sexual stigma, with three exceptions finding significant intervention effects among young sexual minority individuals. We conclude by outlining a theory-driven model of internalized stigma and a research agenda to test more nuanced models of internalized stigma that include multifactorial risk indices.

Background

Moral distress (MD) and moral injury (MI) are related constructs describing the negative consequences of morally challenging stressors. Despite growing support for the clinical relevance of these constructs, ongoing challenges regarding measurement quality risk limiting research and clinical advances. This study summarizes the nature, quality, and utility of existing MD and MI scales, and provides recommendations for future use.

Method

We identified psychometric studies describing the development or validation of MD or MI scales and extracted information on methodological and psychometric qualities. Content analyses identified specific outcomes measured by each scale.

Results

We reviewed 77 studies representing 42 unique scales. The quality of psychometric approaches varied greatly across studies, and most failed to examine convergent and divergent validity. Content analyses indicated most scales measure exposures to potential moral stressors and outcomes together, with relatively few measuring only exposures (n = 3) or outcomes (n = 7). Scales using the term MD typically assess general distress. Scales using the term MI typically assess several specific outcomes.

Conclusions

Results show how the terms MD and MI are applied in research. Several scales were identified as appropriate for research and clinical use. Recommendations for the application, development, and validation of MD and MI scales are provided.

Psychosocial interventions play a key role in addressing mental health and substance use needs for children and adolescents living in low- and middle-income countries (LMICs). While research efforts have primarily focused on their effectiveness, implementation outcomes also require examining.

We conducted a systematic review of qualitative, quantitative, and mixed-methods studies (PROSPERO: CRD42022335997) to synthesize the literature on implementation outcomes for psychosocial interventions for children and adolescents in LMICs. We searched Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, Web of Science, PsychINFO, and Global Health through April 2023. Data were extracted and quality appraised through the Mixed Methods Appraisal Tool (MMAT) independently by two reviewers.

A total of 13,380 records were screened, and 87 studies met inclusion criteria. Feasibility was the most reported implementation outcome (69, 79%), followed by acceptability (60, 69%), and fidelity (32, 37%). Appropriateness was assessed in 11 studies (13%), implementation costs in 10 (11%), and sustainability in one (1%). None of the included studies reported on penetration or adoption.

Despite a growing body of evidence for implementation research in child and adolescent global mental health, most research focused on earlier-stage implementation outcomes, assessing them in research-controlled settings. To overcome this, future efforts should focus on assessing interventions in routine care, assessing later-stage implementation outcomes through standardized tools.

Current conceptualizations of control-related beliefs in Obsessive-Compulsive Disorder (OCD) have largely been limited to beliefs about the need to control thoughts. Although growing evidence supports the notion of considering broader control-related constructs in this disorder, there has been limited research aimed at integrating findings across studies, making it difficult to determine how different control-related beliefs may influence OCD symptoms. The current review sought to systematically analyze findings from all studies investigating the relationship between control beliefs and OCD. The systematic search identified 157 eligible articles that assessed the relationship between control beliefs and OCD symptoms. Results suggested that certain control beliefs (e.g., importance of/need to control of thoughts, sense of control, beliefs about losing control) may be more closely associated with OCD than others (e.g., locus of control, and desire for control). In general, control beliefs were positively associated with OCD, with effect sizes ranging from small to large depending on the symptom domain. Based on limited studies, the only control belief which demonstrated specificity to OCD was ICT. Findings support the importance of integrating additional control beliefs in conceptualizations of OCD and provide evidence to support the benefits of targeting these beliefs in cognitive behavioural therapy.

Mindfulness apps have become popular tools for addressing symptoms of depression and anxiety. Since the publication of earlier meta-analyses evaluating the efficacy of mindfulness apps for depression and anxiety symptoms, over 20 randomized controlled trials (RCTs) have been conducted. There is a need for an updated meta-analysis that quantifies the effects of mindfulness apps on these symptoms and tests for potential moderators.. Random effects meta-analyses were conducted on 45 RCTs. Small, significant effect sizes were found for symptoms of depression (N_comp = 46, N = 5852, g = 0.24, 95% CI = 0.17, 0.31, NNT = 13.57) and anxiety (N_comp = 48, N = 6082, g = 0.28, 95% CI = 0.21, 0.35, NNT = 11.47) in favour of mindfulness apps over control groups. This effect was not explained by symptom deterioration in participants allocated to control groups. Effects remained stable when restricting analyses to lower risk of bias and larger sample trials. No significant moderators were observed, except trials that offered monetary compensation produced larger effects on depression. Non-significant effects were observed when comparing mindfulness apps to active therapeutic comparisons (g = −0.15 depression, g = 0.10 anxiety), though the number of studies was low. Growing evidence indicates that mindfulness apps can acutely reduce symptoms of depression and anxiety, although higher quality studies with longer follow-ups are needed.

Background

Identification of the early warning signs (EWS) of relapse is key to relapse prevention in schizophrenia spectrum disorders, however, limitations to their precision have been reported. Substantial methodological innovations have recently been applied to the prediction of psychotic relapse and to individual psychotic symptoms. However, there has been no systematic review that has integrated findings across these two related outcomes and no systematic review of EWS of relapse for a decade.

Method

We conducted a systematic review of EWS of psychotic relapse and the behavioural antecedents of worsening psychotic symptoms. Traditional EWS and ecological momentary assessment/intervention studies were included. We completed meta-analyses of the pooled sensitivity and specificity of EWS in predicting relapse, and for the prediction of relapse from individual symptoms.

Results

Seventy two studies were identified including 6903 participants. Sleep, mood, and suspiciousness, emerged as predictors of worsening symptoms. Pooled sensitivity and specificity of EWS in predicting psychotic relapse was 71% and 64% (AUC value = 0.72). There was a large pooled-effect size for the model predicting relapse from individual symptom which did not reach statistical significance (d = 0.81, 95%CIs = −0.01, 1.63).

Conclusions

Important methodological advancements in the prediction of psychotic relapse in schizophrenia spectrum disorders are evident with improvements in the precision of prediction. Further efforts are required to translate these advances into effective clinical innovations.

The current study aimed at systematically reviewing evidence on the relationships between gender minority stress and mental health outcomes among European transgender and gender diverse (TGD) individuals. A systematic search was conducted in PsycINFO, PubMED, Scopus, and Google Scholar. It was based on Boolean operators to combine terms related to minority stress, TGD identities, and mental health. Thirty studies were identified as eligible. The results confirmed that gender minority stress factors are significantly related with mental health problems among European TGD individuals. Distal stressors were identified as strongly associated with poorer mental health, with gender-related discrimination emerging as the most documented risk factor. The significant role of proximal stressors was also highlighted, with some mediation analyses detecting an indirect effect on mental health. However, identity concealment appeared unrelated to mental health outcomes. Resilience-promoting factors buffering the impact of stressors were also identified, including self-esteem, pride, transitioning, and social support. Conversely, data on community connectedness as a source of resilience were inconclusive. The studies reviewed have several limitations, including lack of longitudinal designs, sampling bias, variability in measurement methods, and unaccounted ethnic variables. Research and clinical recommendations in this field are reported.