Improving alcohol and substance use screening in school-age children: translation, adaptation and psychometric evaluation of the CRAFFT tool for Lumasaaba, Uganda.

BACKGROUND: Children at risk of substance use disorders (SUD) should be detected using brief structured tools for early intervention. This study sought to translate and adapt the Car, Relax, Alone, Forget, Family/Friends, Trouble (CRAFFT) tool to determine its diagnostic accuracy, and the optimum cut-point to identify substance use disorders (SUD) risk in Ugandan children aged 6 to 13 years. METHODS: This was a sequential mixed-methods study conducted in two phases. In the first qualitative phase, in Kampala and Mbale, the clinician-administered CRAFFT tool version 2.1 was translated into the local Lumasaaba dialect and culturally adapted through focus group discussions (FGDs) and in-depth interviews, in collaboration with the tool's authors. Expert reviews and translations by bilingual experts provided insights on linguistic comprehensibility and cultural appropriateness, while pilot testing with the target population evaluated the tool's preliminary effectiveness. In the second phase, the CRAFFT tool, adapted to Lumasaaba, was quantitatively validated against the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID) for diagnosing SUD in Mbale district, through a survey. Participants, chosen randomly from schools stratified according to ownership, location, and school size, were assessed for the tool's reliability and validity, including comparisons to the MINI KID as the Gold Standard for diagnosing SUD. Data were analyzed using STATA-15. Receiver-operating-characteristic analysis was performed to determine the sensitivity, specificity, and criterion validity of the CRAFFT with the MINI-KID. RESULTS: Of the 470 children enrolled, 2.1% (n = 10) had missing data on key variables, leaving 460 for analysis. The median age and interquartile range (IQR) was 11 (9-12) years and 56.6% were girls. A total of 116 (25.2%) children had consumed alcohol in the last twelve-month period and 7 (1.5%) had used other substances. The mean CRAFFT score for all the children (n = 460) was 0.32 (SD 0.95). The prevalence of any alcohol use disorder (2 or more positive answers on the MINI KID) in the last 12 months was 7.2% (n = 32). The Lumasaaba version of the CRAFFT tool demonstrated good internal consistency (Cronbach's α = 0.86) and inter-item correlation (Spearman correlation coefficient of 0.84 (p < 0.001). At a cut-off score of 1.00, the CRAFFT had optimal sensitivity (91%) and specificity (92%) (Area Under the Curve (AUC) 0.91; 95% CI 0.86-0.97) to screen for SUD. A total of 62 (13.5%) had CRAFFT scores of > 1. CONCLUSION: The Lumasaaba version of the CRAFFT tool has sufficient sensitivity and specificity to identify school-age children at risk of SUD.

Protective factors for suicidal ideation: a prospective study from adolescence to adulthood.

Adolescent suicidality is associated with negative outcomes in adulthood. Suicide prevention has traditionally focused on identifying risk factors, yet suicide rates have remained stable. With suicidality often going undetected-especially suicidal ideation, further knowledge about protective factors is needed. The main objective of this study was to investigate potential protective factors for suicidal ideation from adolescence to adulthood. The study employed longitudinal population survey data, "Youth and Mental Health Study" consisting of self-reports at two-time points (mean age 14.9, SD = 0.6 and 27.2, SD = 0.6) (n = 2423 and n = 1198). Protective factors (at individual, social and environmental level) were selected based on a priori knowledge. Internal consistency of scales was analyzed using McDonald's omega. We used a linear mixed model with suicidal ideation as the dependent variable, time-points, a protective factor variable and their interaction as covariates, and individual participant as random effects. We adjusted for sex and also conducted separate analyses for males and females. The Benjamini-Hochberg procedure was used to adjust p-values for multiple hypotheses. Investigated protective factors were associated with temporal change in suicidal ideation (significant interactions). For both sexes, less emotion-orientated coping, higher self-perception scores, greater levels of physical activity and higher school wellbeing/connectedness were protective factors for suicidal ideations. Secure attachment and higher family function were protective factors for females only. The effects in adolescence were mostly maintained in adulthood. In this study, several protective factors for suicidal ideation persisted into adulthood, with distinct differences between males and females.

Success Factors of an Early EHR System for Child and Adolescent Mental Health: Lessons Learned for Future Practice Data-Driven Decision Aids.

This paper recounts the successful BUPdata, a discontinued electronic health record (EHR) system for Child and Adolescent Mental Health Services (CAMHS) in Norway. It was developed and owned by the national association for CAMHS and fulfilled needs for collaborative care, practice insight, and service management. It aimed to unify the requirements of government, administration, clinicians, patients, and researchers alike, with the goal of providing uniform quality of care nationally. When CAMHS became integrated with specialist healthcare, BUPdata was replaced with more a general EHR system offering far less functionality and insight into CAMHS practice. We have studied BUPdata, and interviewed stakeholders in order to develop decision aids based on practice data analysis and give clinicians and patients insight into successful local practice, collaboration patterns, and overview of local resources.

Attitudes of Mental Health Service Users Toward Storage and Use of Electronic Health Records.

OBJECTIVE: Electronic health records (EHRs) are used for both clinical practice and research. Because mental health service users' views are underrepresented in perspectives on EHR use, the authors examined service users' awareness, attitudes, and opinions about EHR data storage and sharing. METHODS: A mixed-methods, cross-sectional design was used to examine attitudes of 253 Norwegian mental health service users who were recruited online to complete a quantitative and qualitative (free-text) survey about EHR utilization. RESULTS: Most participants were aware that EHRs were stored (95%) and shared (58%). Most thought that patients benefited from EHR storage (84%), trusted authorities with EHR sharing (71%), were willing to share their EHRs to help others (75%), felt they benefited from EHR sharing (75%), and thought EHR sharing was ethical for health care and research (71%). Fewer were aware of EHR sharing for research (36%), and 62% were aware that shared data were anonymized. Of the participants, 69% recognized privacy risks associated with sharing. Lack of transparency and skepticism about anonymization and misuse of EHR data were concerns and perceived risks. Mental health service users thought that EHRs should be shared for policy development (81%), education and training (85%), improving care quality (89%), research (91%), and clinical decision support (81%). CONCLUSIONS: Participants were aware of and supported EHR sharing for research and clinical care. They supported sharing to help others and were willing to fully participate in clinical care and research, as well as to share EHR information for their own care, research, and the care of others.

Child alcohol use disorder in Eastern Uganda: screening, diagnostics, risk factors and management of children drinking alcohol in Uganda (TREAT C-AUD): a mixed-methods research protocol.

Background: Following a finding of alcohol use among children aged 5-8 years old in Mbale, Uganda, this project investigates the magnitude of alcohol and substance use among children ged 6-13 years old and related household, community, school, health system and clinical factors. Methods: The project includes four larger work packages (WPs). WP1 comprises management, WP2 and 3 include the scientific components and WP4 includes integration of results, dissemination, policy and implementation advice. This protocol presents the planned research work in WP 2 and 3. WP2 comprises the adaptation and validation of the alcohol use screening tool Car-Relax-Alone-Forget-Family and Friends-Trouble (CRAFFT) to the age group and setting. WP3 comprises four substudies (SS). SS1 is a cross-sectional community household survey with an estimated sample size of 3500 children aged 6-13 years and their caregivers. We apply cluster sampling and systematic sampling within the clusters. Data collection includes a structured questionnaire for caregiver and child, measuring social and demographic factors, mental health status, alcohol and substance use, nutrition history and anthropometry. Urine samples from children will be collected to measure ethyl glucuronide (EtG), a biological marker of alcohol intake. Further, facilitators, barriers and response mechanisms in the health system (SS2) and the school system (SS3) is explored with surveys and qualitative assessments. SS4 includes qualitative interviews with children. Analysis will apply descriptive statistics for the primary outcome of establishing the magnitude of alcohol drinking and substance use, and associated factors will be assessed using appropriate regression models. The substudies will be analysed independently, as well as inform each other through mixed methods strategies at the stages of design, analysis, and dissemination. Ethics and dissemination: Data protection and ethical approvals have been obtained in Uganda and Norway, and referral procedures developed. Dissemination comprises peer-reviewed, open access research papers, policy recommendations and intersectoral dialogues.Trial registration numberClinicaltrials.gov 29.10.2020 (NCT04743024).

Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents.

BACKGROUND: Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and long-term disability. In Norway, approximately 20% of all children and adolescents are experiencing mental health problems. To address this, health officials in Norway have called for the integration of innovative approaches. A clinical decision support system (CDSS) is an innovative, computer-based program that provides health professionals with clinical decision support as they care for patients. CDSS use standardized clinical guidelines and big data to provide guidance and recommendations to clinicians in real-time. IDDEAS (Individualised Digital DEcision Assist System) is a CDSS for diagnosis and treatment of child and adolescent mental health disorders. The aim of IDDEAS is to enhance quality, competency, and efficiency in child and adolescent mental health services (CAMHS). METHODS/DESIGN: IDDEAS is a mixed-methods innovation and research project, which consists of four stages: 1) Assessment of Needs and Preparation of IDDEAS; 2) The Development of IDDEAS CDSS Model; 3) The Evaluation of the IDDEAS CDSS; and, 4) Implementation & Dissemination. Both qualitative and quantitative methods will be used for the evaluation of IDDEAS CDSS model. Child and adolescent psychologists and psychiatrists (n = 30) will evaluate the IDDEAS` usability, acceptability and relevance for diagnosis and treatment of attention-deficit/hyperactivity disorder. DISCUSSION: The IDDEAS CDSS model is the first guidelines and data-driven CDSS to improve efficiency of diagnosis and treatment of child and adolescent mental health disorders in Norway. Ultimately, IDDEAS will help to improve patient health outcomes and prevent long-term adverse outcomes by providing each patient with evidence-based, customized clinical care. TRIAL REGISTRATION: ISRCTN, ISRCTN12094788. Ongoing study, registered prospectively 8 April 2020 https://doi.org/10.1186/ISRCTN12094788.

Local, Early, and Precise: Designing a Clinical Decision Support System for Child and Adolescent Mental Health Services.

Mental health disorders often develop during childhood and adolescence, causing long term and debilitating impacts at individual and societal levels. Local, early, and precise assessment and evidence-based treatment are key to achieve positive mental health outcomes and to avoid long-term care. Technological advancements, such as computerized Clinical Decision Support Systems (CDSSs), can support practitioners in providing evidence-based care. While previous studies have found CDSS implementation helps to improve aspects of medical care, evidence is limited on its use for child and adolescent mental health care. This paper presents challenges and opportunities for adapting CDSS design and implementation to child and adolescent mental health services (CAMHS). To highlight the complexity of incorporating CDSSs within local CAMHS, we have structured the paper around four components to consider before designing and implementing the CDSS: supporting collaboration among multiple stakeholders involved in care; optimally using health data; accounting for comorbidities; and addressing the temporality of patient care. The proposed perspective is presented within the context of the child and adolescent mental health services in Norway and an ongoing Norwegian innovative research project, the Individualized Digital DEcision Assist System (IDDEAS), for child and adolescent mental health disorders. Attention deficit hyperactivity disorder (ADHD) among children and adolescents serves as the case example. The integration of IDDEAS in Norway intends to yield significantly improved outcomes for children and adolescents with enduring mental health disorders, and ultimately serve as an educational opportunity for future international approaches to such CDSS design and implementation.