The experience of bearing witness to the lack of appetite and involuntary weight loss that characterizes cancer anorexia-cachexia syndrome (CACS) is reported to be stressful for family members. Research identifies that family members engage in a wide range of behaviors in response to a relative who shows minimal interest in eating and is literally \'wasting away\' before their eyes. Some families, though concerned about the symptoms of CACS, do not dwell excessively on the patient\'s nutritional intake while others continually harass the patient to eat and petition health care providers for aggressive nutritional interventions to eat in an attempt to stave off further physical deterioration. While studies have detailed how family members respond to a terminally ill relative with CACS, empirical work explicating the explanatory models of CACS that they hold is lacking. Explanatory models (EMs) reflect the beliefs and ideas that families have about why illness and symptoms occur, the extent to which they can be controlled, how they should be treated, and how interventions should be evaluated. To address this gap in the literature, a grounded theory study guided by Kleinman\'s Explanatory Model questions was conducted with 25 family members of advanced cancer patients. The core category of \'Wayfaring\' integrates the key categories of the model and maps onto Kleinman\'s questions about CACS onset, etiology, natural course, physiological processes/anatomical structures involved, treatment, and the impacts of disease on patient and family. Findings suggest that a divergence between some biomedical constructions of CACS and explanatory models held by family members may fuel the family-health care provider conflict, thereby providing direction for communication with families about care of the patient with anorexia-cachexia.

Obsessive-compulsive disorder (OCD) is a condition with high patient morbidity and mortality. Research shows that eliciting patient explanations about illness causes and treatment preferences promotes cross-cultural work and engagement in health services. These topics are in the Cultural Formulation Interview (CFI), a semi-structured interview first published in DSM-5 that applies anthropological approaches within mental health services to promote person-centered care. This study focuses on the New York City site of an international multi-site study that used qualitative-quantitative mixed methods to: (1) analyze CFI transcripts with 55 adults with OCD to explore perceived illness causes and treatment preferences, and (2) explore whether past treatment experiences are related to perceptions about causes of current symptoms. The most commonly named causes were circumstantial stressors (n = 16), genetics (n = 12), personal psychological traits (n = 9), an interaction between circumstantial stressors and participants\' brains (n = 6), and a non-specific brain problem (n = 6). The most common treatment preferences were psychotherapy (n = 42), anything (n = 4), nothing (n = 4), and medications (n = 2). Those with a prior medication history had twice the odds of reporting a biological cause, though this was not a statistically significant difference. Our findings suggest that providers should ask patients about illness causes and treatment preferences to guide treatment choice.

BACKGROUND: Alcohol use disorder (AUD) is a major clinical problem in Uganda. Explanatory models (EMs) of illness are important as they have consequences for treatment. Clinicians´ knowledge about patients´ EMs can improve understanding of the latter´s perspectives and adapting treatments. There is a lack of African studies about EMs of AUD. The aim of this study was to explore EMs for AUD among hospitalized patients and their relatives at the alcohol and drug unit (ADU) at Butabika hospital in Uganda.
METHODS: An adapted version of the Explanatory Model Interview Catalogue (EMIC) was used for interviews with ten patients and five relatives to investigate how both hospitalized patients with AUD and their relatives understand the disease. Data were analysed for themes with a qualitative content analysis and support of the software program, OpenCode 4.03.
RESULTS: Five major themes were identified from the patient interviews: \"Context promotes AUD\"; \"Alcohol is part of culture\"; \"Spiritual causes of AUD in the community\"; \"Help through Western medicine and religious sources is preferred\" and \"Social problems and stigmatization\". Six major themes identified from the interviews with relatives were: \"Numerous causes of drinking alcohol\"; \"Devastating consequences of drinking alcohol\"; \"Exploiting persons with AUD\"; \"Others\' suffering\"; \"Relatives struggling for help\" and \"Suggested solutions\".
CONCLUSIONS: Patients\' EMs of AUD included social and spiritual explanations. Alcohol is seen as an important part of the Ugandan culture among both patients and their relatives. The results indicate it is important in clinical contexts to investigate the EMs of the patients and relatives to individually tailor treatment interventions.

Research on causal beliefs about mental illness-the beliefs people hold about what causes a particular mental illness, or mental illnesses in general-is split across a number of theories and disciplines. Although research on this subject has provided a number of insights and practical applications, the diversity of theories, terminology, and keywords makes it challenging for a new reader to gain a comprehensive understanding. We sought to address this by conducting a systematic scoping review of research on causal beliefs. This review included English-language articles from any year that mentioned causal beliefs for mental illness in their title or abstract. We identified articles in two stages. In the first stage, we used a narrow set of search terms referring specifically to causal beliefs (1227 records identified, 417 included). In the second stage, we used a comprehensive set of terms relevant to research on causal beliefs (10,418 records identified, 3838 included). We analyzed articles qualitatively, organizing them into one of five theories or categories: the common-sense model of self-regulation, explanatory models, mental health literacy, biogenetic causal beliefs, and other research on causal beliefs. We provide a comprehensive summary of these literatures in terms of their history, typical research questions and study design, findings, and practical applications. These theories differ in their theoretical orientation towards causal beliefs, research methods, findings, and applications. However, they broadly share a view of causal beliefs as multifaceted, culturally determined, and relevant for additional psychosocial variables such as mental illness stigma and help-seeking. We conclude by making recommendations for researchers, clinicians, public health messaging, and for individuals with mental illness.

BACKGROUND: 98% of people with surgical conditions living in low- and middle-income countries (LMICs) do not receive safe, timely and affordable surgical and anesthesia care. Research exploring barriers to receiving care has tended to be narrow in focus, often facility-based and ignoring the community beliefs, experiences and behaviours that will be an essential component of closing the gap in surgical care. Using qualitative methods, we captured diverse community perspectives in rural Ethiopia: exploring beliefs, perceptions, knowledge and experiences related to surgical conditions, with the overall aim of (re)constructing explanatory models.
METHODS: Our study was nested within a community-based survey of surgical conditions conducted in the Butajira Health and Demographic Surveillance Site, southern Ethiopia, and a follow-up study of people accessing surgical care in two local hospitals. We carried out 24 semi-structured interviews. Participants were community members who needed but did/did not access surgical care, community-based healthcare workers and traditional bone-setters. Interviews were conducted in Amharic, audio-recorded, transcribed, and translated into English. We initially carried out thematic analysis and we recognized that emerging themes were aligned with Kleinman\'s explanatory models framework and decided to use this to guide the final stages of analysis.
RESULTS: We found that community members primarily understood surgical conditions according to severity. We identified two categories: conditions you could live with and those which required urgent care, with the latter indicating a clear and direct path to surgical care whilst the former was associated with a longer, more complex and experimental pattern of help-seeking. Fear of surgery and poverty disrupted help-seeking, whilst community narratives based on individual experiences fed into the body of knowledge people used to inform decisions about care.
CONCLUSIONS: We found explanatory models to be flexible, responsive to new evidence about what might work best in the context of limited community resources. Our findings have important implications for future research and policy, suggesting that community-level barriers have the potential to be responsive to carefully designed interventions which take account of local knowledge and beliefs.

UNASSIGNED: Psychotherapy research has long preferred explanatory over predictive models. As a result, psychotherapy research is currently limited in the variability that can be accounted for in the process and outcome of treatment. The present study is a proof-of-concept approach to psychotherapy science that uses a datadriven approach to achieve robust predictions of the process and outcome of treatment.
UNASSIGNED: A trial including 65 therapeutic dyads was designed to enable an adequate level of variability in therapist characteristics, overcoming the common problem of restricted range. A mixed-model, data-driven approach with cross-validation machine learning algorithms was used to predict treatment outcome and alliance (within- and between-clients; client- and therapist-rated alliance).
UNASSIGNED: Based on baseline predictors only, the models explained 52.8% of the variance for out-of-sample prediction in treatment outcome, and 24.1-52.8% in therapeutic alliance. The identified predictors were consistent with previous findings and point to directions for future investigation. Although limited by its sample size, this study serves as proof of the great potential of the presented approach to produce robust predictions regarding the process and outcome of treatment, offering a potential solution to problems such as p-hacking and lack of replicability. Findings should be replicated using larger samples and distinct populations and settings.

Explanatory models are culturally informed representations of illness that convey understandings of the etiology and expected course of disease. Substantial research has explored lay explanatory models, but examining physicians\' clinical explanatory models can also provide insight into patients\' understandings of illness because physicians are a foundational source of authoritative knowledge that shapes lay concepts of illness and disease. This study characterized the explanatory models used by pediatric gastroenterologists when explaining inflammatory bowel disease (IBD) to children. We conducted semi-structured qualitative interviews with 20 pediatric gastroenterologists across the United States about their clinical communication and explanatory models. We identified two primary explanatory models used to describe immune dysregulation in pediatric IBD: the defense and protection model, which characterizes the immune system as an army that erroneously sees the body as \"non-self\" and attacks it; and the switch model, which conceptualizes treatment as activating a switch that turns off a faulty immune response. We also identified two models used by some physicians to describe inflammation: the scratch and scrape model, which compares IBD inflammation to scratches or scrapes on the skin; and the bonfire model, which compares inflammation to a fire in need of extinguishing. While the use of militaristic metaphors is pervasive in medicine, describing autoimmunity as a battle against the self may lead children to perceive their body as the enemy. This may be compounded by describing the immune system as \"confused\" while noting its ongoing protective function. Use of these explanatory models may nevertheless improve patient disease-related knowledge.

UNASSIGNED: Schizophrenia may cause significant impairment in social and economic aspects of a patient\'s life. Current evidence suggests that cognitive deficits may affect the functioning of a person with schizophrenia more than positive or negative symptoms. There is a lack of literature on explanatory models of cognitive deficits in schizophrenia that can influence help-seeking behavior.
UNASSIGNED: This study aimed to estimate the prevalence of cognitive deficits and assess their relationship with socio-demographic and clinical characteristics among patients with schizophrenia. We also planned to explore the explanatory models of cognitive deficits in these patients.
UNASSIGNED: Consecutive outpatients with schizophrenia who met eligibility criteria were recruited after obtaining informed consent. The Addenbrooke\'s Cognitive Examination Tamil version (ACE III) and Observable Social Cognition - A Rating Scale (OSCARS) and Positive and Negative Symptom Scale (PANSS) were used to assess cognitive functioning and symptom profile, respectively. Beliefs about illness were recorded using the modified Short Explanatory Model Interview (SEMI). Socio-demographic and treatment-related details were collected with a structured proforma. Statistical analysis was done using SPSS for Windows (version 16.0.1).
UNASSIGNED: One hundred and forty patients participated in the study. The prevalence of cognitive deficits was 75.7% using ACE-III scores, 19.3% on OSCARS, and 40% based on subjective reports. Though the majority (81.4%) of patients reported a medical explanatory model for cognitive impairment, a significant number of them (70.7%) also held non-medical models simultaneously.
UNASSIGNED: Cognitive deficits are prevalent in the majority of patients with schizophrenia. Poor test performance on cognitive testing was observed in those with a significant family history. Multiple contradictory explanatory models for the causation of cognitive deficits were reported.

Genuinely new discovery transcends existing knowledge. Despite this, many analyses in systems neuroscience neglect to test new speculative hypotheses against benchmark empirical facts. Some of these analyses inadvertently use circular reasoning to present existing knowledge as new discovery. Here, I discuss that this problem can confound key results and estimate that it has affected more than three thousand studies in network neuroscience over the last decade. I suggest that future studies can reduce this problem by limiting the use of speculative evidence, integrating existing knowledge into benchmark models, and rigorously testing proposed discoveries against these models. I conclude with a summary of practical challenges and recommendations.

This paper explores the explanatory models of mental challenges among Black Africans in England. It argues that understanding these models is critical for providing culturally appropriate care to this population. The study employed qualitative methodology, and interpretative phenomenological analysis (IPA). Twelve mental health service users who are living in England and self-identified as first or second-generation Black Africans were purposively selected. The data were gathered using face-to-face semistructured interviews. Data were manually analysed in accordance with IPA concepts of searching for common, unique and idiosyncratic themes across transcripts. The findings revealed three themes Black Africans associated to their explanatory model of mental health challenges: complexities of migration, African-centred worldview and negative life experiences. To help alleviate the Eurocentric nature of mental health practice in England, it is hoped that this explanatory model will become an integral part of mental health practice in England and around the world.