International Journal of Methods in Psychiatric Research最新文献

{"title":"Prevalence Estimation Using a Depression Screening Tool in the National Health and Nutrition Examination Survey: Comparison of Different Cutoffs","authors":"Ali Mertcan Köse,&nbsp;Paul Petzold,&nbsp;Dario Zocholl,&nbsp;Polychronis Kostoulas,&nbsp;Matthias Rose,&nbsp;Felix Fischer","doi":"10.1002/mpr.70019","DOIUrl":"https://doi.org/10.1002/mpr.70019","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>The National Health and Nutrition Examination Survey (NHANES) in the US relies on the depression screening tool PHQ-9 to assess depressive symptoms in the general population. For prevalence estimation, PHQ-9s imperfect diagnostic accuracy can be modeled with a Bayesian Latent Class Model. We investigate the impact of different cutoffs on prevalence estimation.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used data from the 16-th wave of the National Health and Nutrition Examination Survey (NHANES). We assessed the joint posterior distribution to asssess the prevalence of major depression as well as sensitivity and specificity of the PHQ-9 at cutoffs 5 to 15. We also assessed the impact of weakly and strongly informative prevalence priors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Data from 9693 participants of the NHANES Wave 2019–2020 were analyzed. Under weakly informative prevalence priors, prevalence estimates ranged from 16.0% (95% CrI: 0.3%–87.8%) when using a cut-off of 5% to 3.9% (0.2%–12.7%) at 13. More informative prevalence priors led to narrower credible intervals, but the observed data was still in accordance with a wide range of possible MDD prevalence estimates.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Regardless of the cutoff and the prevalence prior chosen, prevalence estimation of major depressive disorders in the NHANES based on the PHQ-9 is imprecise.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"34 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.70019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143762096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IJMPR Didactic Paper: Weighting for Causal Inference in Mental Health Research","authors":"Eric R. Cohn,&nbsp;José R. Zubizarreta","doi":"10.1002/mpr.70018","DOIUrl":"https://doi.org/10.1002/mpr.70018","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Inverse probability weighting is a fundamental and general methodology for estimating the causal effects of exposures and interventions, but standard approaches to constructing such weights are often suboptimal.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this paper, we describe a recent approach for constructing such weights that directly balances covariates while optimizing the stability of the resulting weighting estimator.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>To illustrate the use of this approach in mental health research, we present an exploratory study of the effects of exposure to violence on the risk of suicide attempt.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The direct balancing approach to weighting should be given strong consideration in empirical research due to its robustness and transparency in building weighting estimators.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"34 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.70018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Problematic Smartphone Use Among Chinese Primary School Students Using SABAS: An IRT and Network Analysis","authors":"Siyang Liu,&nbsp;Qian Chen,&nbsp;Jiayang Li,&nbsp;Yimeng Zhu,&nbsp;Xiaorong Guo,&nbsp;Xin Zhao","doi":"10.1002/mpr.70016","DOIUrl":"https://doi.org/10.1002/mpr.70016","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study assessed the psychometric properties of the Smartphone Application-Based Addiction Scale (SABAS) among Chinese primary school students, focusing on validity, reliability, and factor structure using Item Response Theory (IRT) and Network Analysis (NA).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data were collected from 1108 primary school students in China (52.98% female; ages 7–14 years; <i>M</i> = 10.58, SD = 0.99). SABAS was assessed using Item Response Theory (IRT) for factor structure, item parameters, cut-off scores, and reliability, while Differential Item Functioning (DIF) detected gender biases. Network Analysis (NA) examined the interrelationships among SABAS items.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Confirmatory factor analysis supported SABAS's unidimensional structure (RMSEA = 0.055, CFI = 0.984, TLI = 0.973, SRMR = 0.025). IRT indicated high item discrimination (<i>α</i> = 1.47–2.47) and identified a cut-off score of 27, classifying 1.7% of students as high-risk for problematic smartphone use. Gender DIF was noted in item 6, with boys showing higher relapse tendencies (<i>p</i> &lt; 0.05). NA highlighted the centrality of tolerance and withdrawal items.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>SABAS is a reliable tool for assessing problematic smartphone use in Chinese primary school students, particularly those at moderate to high risk.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"34 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.70016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of the MyDéfi Smartphone Application on Binge Drinking Among University Students: Protocol of a Double-Blind Multicenter Prospective National Randomized Controlled Trial Using Phosphatidylethanol as a Biomarker—The SMARTBINGE Trial","authors":"Camille André,&nbsp;Pierre Sauton,&nbsp;Méléna Dreinaza,&nbsp;Momar Diouf,&nbsp;Sandra Bodeau,&nbsp;Margaret Martinetti,&nbsp;Raphaël Trouillet,&nbsp;Clara de Groote,&nbsp;Jean-Louis Nandrino,&nbsp;Adèle Alexandre,&nbsp;Farid Benzerouk,&nbsp;Fabien Gierski,&nbsp;Pascal Perney,&nbsp;Laure Grellet,&nbsp;Judith André,&nbsp;Mickael Naassila","doi":"10.1002/mpr.70014","DOIUrl":"https://doi.org/10.1002/mpr.70014","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The purpose of this paper is to describe a study protocol of a clinical trial exploring the effectiveness of the new mobile application MyDéfi proposing personalized feedback, on both alcohol consumption and quality of life, as well as the blood alcohol exposure biomarker phosphatidylethanol, in university students displaying binge drinking behavior.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This prospective national multicentric randomized, two-arm (1:1), double-blind controlled trial will recruit 628 students (aged 18–25 years) with binge drinking behavior. Participants will be randomized in the “intervention” group (personalized feedback) or the “control” group (generic feedback) and will undergo four monthly visits. Monthly dried blood spot sample for measuring phosphatidylethanol concentration and online questionnaires will be collected. Our primary objective is to assess the reduction weekly standard drinks, through self-report gathered via MyDéfi. Secondary objectives will evaluate the application's impact on the dosage of phosphatidylethanol blood concentration and on quality of life”.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Recruitment started in March 2024 and will end in March 2026.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study aims to determine the effectiveness of two versions of the same mobile application (generic vs. personalized feedback) on alcohol consumption in students displaying binge drinking behavior. The effectiveness of the application will be measured, with a secondary objective of quantifying phosphatidylethanol. Our study will open new perspectives on the use of digital interventions for students who do not actively seek treatment.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Trial Registration</h3>\u0000 \u0000 <p>Trial registration number (NCT06084832), the date of registration (10th October 2023) and when this was done (16th October 2023). https://clinicaltrials.gov/study/NCT06084832</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"34 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.70014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Statistical methods to adjust for the effects on intervention compliance in randomized clinical trials where precision treatment rules are being developed","authors":"Nur Hani Zainal,&nbsp;Corina Benjet,&nbsp;Yesica Albor,&nbsp;Mauricio Nuñez-Delgado,&nbsp;Renato Zambrano-Cruz,&nbsp;Carlos C. Contreras-Ibáñez,&nbsp;Lorena Cudris-Torres,&nbsp;Francisco R. de la Peña,&nbsp;Noé González,&nbsp;José Benjamín Guerrero-López,&nbsp;Raúl A. Gutierrez-Garcia,&nbsp;Ana Lucía Jiménez-Peréz,&nbsp;Maria Elena Medina-Mora,&nbsp;Pamela Patiño,&nbsp;Pim Cuijpers,&nbsp;Sarah M. Gildea,&nbsp;Alan E. Kazdin,&nbsp;Chris J. Kennedy,&nbsp;Alex Luedtke,&nbsp;Nancy A. Sampson,&nbsp;Maria V. Petukhova,&nbsp;Jose R. Zubizarreta,&nbsp;Ronald C. Kessler","doi":"10.1002/mpr.70005","DOIUrl":"10.1002/mpr.70005","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Heterogeneity of treatment effects (HTEs) can occur because of either differential treatment compliance or differential treatment effectiveness. This distinction is important, as it has action implications, but it is unclear how to distinguish these two possibilities statistically in precision treatment analysis given that compliance is not observed until after randomization. We review available statistical methods and illustrate a recommended method in secondary analysis in a trial focused on HTE.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The trial randomized <i>n</i> = 880 anxious and/or depressed university students to guided internet-delivered cognitive behavioral therapy (i-CBT) or treatment-as-usual (TAU) and evaluated joint remission. Previously reported analyses documented superiority of i-CBT but significant HTE. In the reanalysis reported here, we used baseline (i.e., pre-randomization) covariates to predict compliance among participants randomized to guided i-CBT, generated a cross-validated within-person expected compliance score based on this model in <i>both</i> intervention groups, and then used this expected composite score as a predictor in an expanded HTE analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The significant intervention effect was limited to participants with high expected compliance. Residual HTE was nonsignificant.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Future psychotherapy HTE trials should routinely develop and include expected compliance composite scores to distinguish the effects of differential treatment compliance from the effects of differential treatment effectiveness.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"34 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11711205/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142958166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From statistics to deep learning: Using large language models in psychiatric research","authors":"Yining Hua,&nbsp;Andrew Beam,&nbsp;Lori B. Chibnik,&nbsp;John Torous","doi":"10.1002/mpr.70007","DOIUrl":"10.1002/mpr.70007","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Large Language Models (LLMs) hold promise in enhancing psychiatric research efficiency. However, concerns related to bias, computational demands, data privacy, and the reliability of LLM-generated content pose challenges.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Gap</h3>\u0000 \u0000 <p>Existing studies primarily focus on the clinical applications of LLMs, with limited exploration of their potentials in broader psychiatric research.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study adopts a narrative review format to assess the utility of LLMs in psychiatric research, beyond clinical settings, focusing on their effectiveness in literature review, study design, subject selection, statistical modeling, and academic writing.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Implication</h3>\u0000 \u0000 <p>This study provides a clearer understanding of how LLMs can be effectively integrated in the psychiatric research process, offering guidance on mitigating the associated risks and maximizing their potential benefits. While LLMs hold promise for advancing psychiatric research, careful oversight, rigorous validation, and adherence to ethical standards are crucial to mitigating risks such as bias, data privacy concerns, and reliability issues, thereby ensuring their effective and responsible use in improving psychiatric research.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"34 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11707704/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142958165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Multinational Comparison Study of the Patient-Reported Outcomes Measurement Information System Anxiety, Depression, and Anger Item Bank in the General Population","authors":"Jiseon Lee,&nbsp;Yeonjung Lim,&nbsp;Dong Gi Seo,&nbsp;Minji K. Lee,&nbsp;Benjamin D. Schalet,&nbsp;Felix Fischer,&nbsp;Matthias Rose,&nbsp;Danbee Kang,&nbsp;Juhee Cho","doi":"10.1002/mpr.70012","DOIUrl":"10.1002/mpr.70012","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study aimed to compared Patient-Reported Outcomes Measurement Information System (PROMIS) anxiety, depression, and anger item bank among Korean, US and Dutch general population.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Between December 2021 and January 2022, we surveyed representative Korean participants (<i>N</i> = 2699). Then we compared the mean <i>T</i>-scores of PROMIS anxiety, depression, and anger full items bank among Korean, US (<i>N</i> = 1696) and the Dutch (<i>N</i> = 1002) populations. Differential item-functioning (DIF) analyses were also performed. We also compared each score by age group, sex, presence of comorbidities, and general health status.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In Korean, the mean <i>T</i>-scores for anxiety, depression, and anger were 45.3 (standard deviation [SD] = 11.6), 48.4 (SD = 11.2), and 44.9 (SD = 12.6), respectively. Among the general population in Korea, patients aged 35–44 years and those with comorbidities had higher anxiety, depression, and anger scores. In the DIF analyses between the US and Korean populations, 28%, 32%, and 45% were flagged for uniform or non-uniform DIF in anxiety, depression and anger, respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Considering the cultural differences, we recommend using a harmonized approach that includes country-specific reference values while retaining a standardized core set of items to enable cross-country comparability.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"34 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11685171/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142911206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of Causal Forest Model to Examine Treatment Effect Heterogeneity in Substance Use Disorder Psychosocial Treatments","authors":"Ryoko Susukida,&nbsp;Masoumeh Amin-Esmaeili,&nbsp;Elena Badillo-Goicoechea,&nbsp;Trang Q. Nguyen,&nbsp;Elizabeth A. Stuart,&nbsp;Michael Rosenblum,&nbsp;Kelly E. Dunn,&nbsp;Ramin Mojtabai","doi":"10.1002/mpr.70011","DOIUrl":"10.1002/mpr.70011","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Heterogeneity of treatment effect (HTE) is a concern in substance use disorder (SUD) treatments but has not been rigorously examined. This exploratory study applied a causal forest approach to examine HTE in psychosocial SUD treatments, considering multiple covariates simultaneously.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Data from 12 randomized controlled trials of nine psychosocial treatments were obtained from the National Institute on Drug Abuse Clinical Trials Network. Using causal forests, we estimated the conditional average treatment effect (CATE) on drug abstinence. To assess HTE, we compared CATE variance against total outcome variability, conducted an omnibus test, and applied the Rank-Weighted Average Treatment Effect (RATE).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Across nine interventions, CATE variance was lower than total outcome variability, indicating lack of strong evidence of HTE with respect to the baseline covariates considered. The omnibus test and RATE analysis generally support this finding. However, the RATE analysis identified potential HTE in a motivational interviewing trial; this could be a false positive given the multiple analyses; replication is needed to confirm this.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>While causal forests show utility in exploring HTE in SUD interventions, limited baseline assessments in most trials suggest a cautious interpretation. The RATE findings for motivational interviewing highlight potential subgroup-specific treatment benefits, warranting further research.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"34 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11675088/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142899968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patient-Reported Experience Measures for In- and Outpatients in Mental Health and Substance Use Services: Psychometric Properties and Results From a Nationwide Survey in Finland","authors":"Satu Viertiö,&nbsp;Sebastian Therman,&nbsp;Kristiina Kuussaari,&nbsp;Jaana Suvisaari","doi":"10.1002/mpr.70010","DOIUrl":"10.1002/mpr.70010","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>We implemented the first national patient experience survey, with novel patient-reported experience measures (PREMs), in out- and inpatient mental health and substance use services in Finland.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The Outpatient Experience Scale (OPES) and the Inpatient Experience Scale (IPES) were co-designed with experts by experience and professionals. The survey was carried out in 2021 in 435 treatment facilities. We applied bi-factor analysis of ordinal indicators to prespecified and exploratory models.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We received 8794 outpatient and 1112 inpatient responses. Both the OPES and the IPES were essentially unidimensional, with high internal consistency (omega 0.98 in both) and strong factor loadings. The Net Promoter Score item was a fairly poor indicator of overall satisfaction. The most positive experiences were related to respect and acceptance, while statements related to receiving information and inclusion of significant others in the treatment process received more critical feedback. The best experience was in integrated mental health and substance use services. Involuntarily admitted patients had the most negative patient experiences.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The new PREMs proved to work well in measuring patient experience. Service users generally reported positive experiences. The primary service development need is sharing information with patients.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"34 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11676435/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142900070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Relationship Between BRI and Depressive Symptoms in Chinese Older Adults: A CLHLS-Based Study","authors":"Yan Wang,&nbsp;Yuting Yang,&nbsp;Wanning Wang,&nbsp;Qiao Chen,&nbsp;Wangping Jia,&nbsp;Ling Li","doi":"10.1002/mpr.70009","DOIUrl":"10.1002/mpr.70009","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>There is a lack of research examining the association between obesity and depressive symptoms in relation to mental health. This study aimed to examine the correlation between Body Roundness Index (BRI) and depressive symptoms in elderly Chinese individuals.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The study sample consisted of 11,842 individuals aged 65 years or older from the 2018 Chinese Longitudinal Health Longevity Survey (CLHLS) database. A multivariate logistic regression analysis was used to investigate how BRI affects the likelihood of experiencing depressive symptoms, with restricted cubic spline (RCS) curves illustrating this impact. BRI values were calculated using a predefined formula for each participant, and depressive status was assessed using the Center for Epidemiologic Studies Depression Scale (CES-D-10).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The mean age of the participants was 83.1 ± 10.9 years. A non-linear relationship was identified between the BRI score and the risk of depressive symptoms. The analysis showed that for BRI scores below 5.17, there was a significant 9% increase in the risk of depressive symptoms for every 1-point decrease in BRI score. Conversely, when the BRI was 5.17 or higher, a decrease in the BRI score did not lead to a significant increase in the risk of depressive symptoms.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The study demonstrated a significant association between BRI and depressive symptoms in elderly Chinese individuals. Furthermore, it was noted that older adults classified as overweight and mildly obese had a lower likelihood of experiencing depressive symptoms and demonstrated improved mental health.</p>\u0000 </section>\u0000 </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/mpr.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142866088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}