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Aims Health services research (HSR) is affected by a widespread problem related to service terminology including non-commensurability (using different units of analysis for comparisons) and terminological unclarity due to ambiguity and vagueness of terms. The aim of this study was to identify the magnitude of the terminological bias in health and social services research and health economics by applying an international classification system. Methods This study, that was part of the PECUNIA project, followed an ontoterminology approach (disambiguation of technical and scientific terms using a taxonomy and a glossary of terms). A listing of 56 types of health and social services relevant for mental health was compiled from a systematic review of the literature and feedback provided by 29 experts in six European countries. The disambiguation of terms was performed using an ontology-based classification of services (Description and Evaluation of Services and DirectoriEs – DESDE), and its glossary of terms. The analysis focused on the commensurability and the clarity of definitions according to the reference classification system. Interrater reliability was analysed using κ. Results The disambiguation revealed that only 13 terms (23%) of the 56 services selected were accurate. Six terms (11%) were confusing as they did not correspond to services as defined in the reference classification system (non-commensurability bias), 27 (48%) did not include a clear definition of the target population for which the service was intended, and the definition of types of services was unclear in 59% of the terms: 15 were ambiguous and 11 vague. The κ analyses were significant for agreements in unit of analysis and assignment of DESDE codes and very high in definition of target population. Conclusions Service terminology is a source of systematic bias in health service research, and certainly in mental healthcare. The magnitude of the problem is substantial. This finding has major implications for the international comparability of resource use in health economics, quality and equality research. The approach presented in this paper contributes to minimise differentiation between services by taking into account key features such as target population, care setting, main activities and type and number of professionals among others. This approach also contributes to support financial incentives for effective health promotion and disease prevention. A detailed analysis of services in terms of cost measurement for economic evaluations reveals the necessity and usefulness of defining services using a coding system and taxonomical criteria rather than by ‘text-based descriptions’.

BACKGROUND: The implementation of eMental health interventions, especially in the workplace, is a complex process. Therefore, learning from existing implementation strategies is imperative to ensure improvements in the adoption, development, and scalability of occupational eMental health (OeMH) interventions. However, the implementation strategies used for these interventions are often undocumented or inadequately reported and have not been systematically gathered across implementations in a way that can serve as a much-needed guide for researchers. OBJECTIVE: The objective of this scoping review was to identify implementation strategies relevant to the uptake of OeMH interventions that target employees and detail the associated barriers and facilitation measures. METHODS: A scoping review was conducted. The descriptive synthesis was guided by the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework and the Consolidated Framework for Implementation Research. RESULTS: A total of 31 of 32,916 (0.09%) publications reporting the use of the web-, smartphone-, telephone-, and email-based OeMH interventions were included. In all, 98 implementation strategies, 114 barriers, and 131 facilitators were identified. The synthesis of barriers and facilitators produced 19 facilitation measures that provide initial recommendations for improving the implementation of OeMH interventions. CONCLUSIONS: This scoping review represents one of the first steps in a research agenda aimed at improving the implementation of OeMH interventions by systematically selecting, shaping, evaluating, and reporting implementation strategies. There is a dire need for improved reporting of implementation strategies and combining common implementation frameworks with more technology-centric implementation frameworks to fully capture the complexities of eHealth implementation. Future research should investigate a wider range of common implementation outcomes for OeMH interventions that also focus on a wider set of common mental health problems in the workplace. This scoping review's findings can be critically leveraged by discerning decision-makers to improve the reach, effectiveness, adoption, implementation, and maintenance of OeMH interventions.

Background We report the psychometric properties of the Patient-Reported Impact of Symptoms in Schizophrenia Scale (PRISS), which assesses the impact of subjective experiences or qualia in outpatients with this condition. Methods A cross-sectional study was carried out in 162 patients diagnosed with schizophrenia in Spain. The PRISS measures the presence, frequency, concern and interference with daily life of self-reported experiences related to the main symptoms observed in these patients. The psychometric analysis included test-retest reliability, internal consistency and structural and convergent validity. Results The 28-item PRISS showed good test-retest reliability as 64.3% of the intraclass correlation coefficient values were between 0.40 and 0.79, which were statistically significant (p < 0.01). Analysis of the structural validity revealed a three-factor structure, (1) productive subjective experiences, (2) affective-negative subjective experiences and (3) excitation, which accounted for 56.11% of the variance. Of the Pearson's correlation coefficients analysed between the PRISS and the Positive and Negative Syndrome Scale (PANSS), Scale for Assessment of Negative Symptoms (SANS) and World Health Organization Disability Assessment Schedule (WHO-DAS), 72.2% were statistically significant (p < 0.05) and ranged from 0.38-0.42, 0.32-0.42 and 0.40-0.42, respectively. Conclusion Our results indicate that the PRISS appears to be a brief, reliable and valid scale to measure subjective experiences in schizophrenia and provides valuable information complementary to clinical evaluation.

Highlights • Overall, COVID-19 has had massive impacts on mental health care internationally. • Most mental health systems were under-resourced and under-prepared, both to manage existing clients and to manage new clients. • There were significant differences between sites, depending on the explosivity of COVID-19 and the readiness of the mental health system. • Integrated, community mental health systems exhibited greater adaptability in contrast to services which depended on face-to-face and hospital-based care. • There is an urgent requirement to use the lessons of COVID to drive the next wave of mental health reform, which should prioritise local, community and digital solutions., Aim To summarise commonalities and variations in the mental health response to COVID-19 across different sites and countries, with a view to better understanding key steps not only in crisis management, but for future systemic reform of mental health care. Method We conducted a Rapid Synthesis and Translation Process of lessons learned from an international panel of experts, collecting on the ground experiences of the pandemic as it evolved in real time. Digital conferencing and individual interviews were used to rapidly acquire knowledge on the COVID-19 outbreak across 16 locations in Australia, Denmark, Italy, Spain, Taiwan, the UK, and the USA. Results COVID-19 has had massive impacts on mental health care internationally. Most systems were under-resourced and under-prepared, struggling to manage both existing and new clients. There were significant differences between sites, depending on the explosivity the pandemic and the readiness of the mental health system. Integrated, community mental health systems exhibited greater adaptability in contrast to services which depended on face-to-face and hospital-based care. COVID-19 has demonstrated the need for a new approach to rapid response to crisis in mental health. New decision support system tools are necessary to ensure local decision-makers can effectively respond to the enormous practical challenges posed in these circumstances. Conclusions The process we have undertaken has generated clear lessons for mental health policymakers worldwide, beyond pandemic planning and response to guide next steps in systemic mental health reform. Key here is achieving some balance between national leadership and local context adaptation of evidence.

Aims\ud Although many mental health care systems provide care interventions that are not related to direct health care, little is known about the interfaces between the latter and core health care. ‘Core health care’ refers to services whose explicit aim is direct clinical treatment which is usually provided by health professionals, i.e., physicians, nurses, psychologists. ‘Other care’ is typically provided by other staff and includes accommodation, training, promotion of independence, employment support and social skills. In such a definition, ‘other care’ does not necessarily mean being funded or governed differently. The aims of the study were: (1) using a standard classification system (Description and Evaluation of Services and Directories in Europe for Long Term Care, DESDE-LTC) to identify ‘core health’ and ‘other care’ services provided to adults with mental health problems; and (2) to investigate the balance of care by analysing the types and characteristics of core health and other care services.\ud \ud Methods\ud The study was conducted in eight selected local areas in eight European countries with different mental health systems. All publicly funded mental health services, regardless of the funding agency, for people over 18 years old were identified and coded. The availability, capacity and the workforce of the local mental health services were described using their functional main activity or ‘Main Types of Care’ (MTC) as the standard for international comparison, following the DESDE-LTC system.\ud \ud Results\ud In these European study areas, 822 MTCs were identified as providing core health care and 448 provided other types of care. Even though one-third of mental health services in the selected study areas provided interventions that were coded as ‘other care’, significant variation was found in the typology and characteristics of these services across the eight study areas.\ud \ud Conclusions\ud The functional distinction between core health and other care overcomes the traditional division between ‘health’ and ‘social’ sectors based on governance and funding. The overall balance between core health and other care services varied significantly across the European sites. Mental health systems cannot be understood or planned without taking into account the availability and capacity of all services specifically available for this target population, including those outside the health sector.

To summarise commonalities and variations in the mental health response to COVID-19 across different sites and countries, with a view to better understanding key steps not only in crisis management, but for future systemic reform of mental health care. Method We conducted a Rapid Synthesis and Translation Process of lessons learned from an international panel of experts, collecting on the ground experiences of the pandemic as it evolved in real time. Digital conferencing and individual interviews were used to rapidly acquire knowledge on the COVID-19 outbreak across 16 locations in Australia, Denmark, Italy, Spain, Taiwan, the UK, and the USA. Results COVID-19 has had massive impacts on mental health care internationally. Most systems were under-resourced and under-prepared, struggling to manage both existing and new clients. There were significant differences between sites, depending on the explosivity the pandemic and the readiness of the mental health system. Integrated, community mental health systems exhibited greater adaptability in contrast to services which depended on face-to-face and hospital-based care. COVID-19 has demonstrated the need for a new approach to rapid response to crisis in mental health. New decision support system tools are necessary to ensure local decision-makers can effectively respond to the enormous practical challenges posed in these circumstances. Conclusions The process we have undertaken has generated clear lessons for mental health policymakers worldwide, beyond pandemic planning and response to guide next steps in systemic mental health reform. Key here is achieving some balance between national leadership and local context adaptation of evidence.

BACKGROUND: Over the last decade, telemedicine services have been introduced in the public health care systems of several industrialized countries. In Catalonia, the use of eConsulta, an asynchronous teleconsultation service between primary care professionals and citizens in the public health care system, has already reached 1 million cases. Before the COVID-19 pandemic, the use of eConsulta was growing at a monthly rate of 7%, and the growth has been exponential from March 15, 2020 to the present day. Despite its widespread usage, there is little qualitative evidence describing how this tool is used. OBJECTIVE: The aim of this study was to annotate a random sample of teleconsultations from eConsulta, and to evaluate the level of agreement between health care professionals with respect to the annotation. METHODS: Twenty general practitioners retrospectively annotated a random sample of 5382 cases managed by eConsulta according to three aspects: the type of interaction according to 6 author-proposed categories, whether the practitioners believed a face-to-face visit was avoided, and whether they believed the patient would have requested a face-to-face visit had eConsulta not been available. A total of 1217 cases were classified three times by three different professionals to assess the degree of consensus among them. RESULTS: The general practitioners considered that 79.60% (4284/5382) of the teleconsultations resulted in avoiding a face-to-face visit, and considered that 64.96% (3496/5382) of the time, the patient would have made a face-to-face visit in the absence of a service like eConsulta. The most frequent uses were for management of test results (26.77%, 1433/5354), management of repeat prescriptions (24.30%, 1301/5354), and medical enquiries (14.23%, 762/5354). The degree of agreement among professionals as to the annotations was mixed, with the highest consensus demonstrated for the question "Has the online consultation avoided a face-to-face visit?" (3/3 professionals agreed 67.95% of the time, 827/1217), and the lowest consensus for the type of use of the teleconsultation (3/3 professionals agreed 57.60% of the time, 701/1217). CONCLUSIONS: This study shows the ability of eConsulta to reduce the number of face-to-face visits for 55% (79% × 65%) to 79% of cases. In comparison to previous research, these results are slightly more pessimistic, although the rates are still high and in line with administrative data proxies, showing that 84% of patients using teleconsultations do not make an in-person appointment in the following 3 months. With respect to the type of consultation performed, our results are similar to the existing literature, thus providing robust support for eConsulta's usage. The mixed degree of consensus among professionals implies that results derived from artificial intelligence tools such as message classification algorithms should be interpreted in light of these shortcomings.

Background: This paper outlines the need for a health systems approach and rapid response strategy for gathering information necessary for policy decisions during pandemics and similar crises. It suggests a new framework for assessing the phases of the pandemic. Method: The paper draws its information and conclusions from a rapid synthesis and translation process (RSTP) of a series of webinars and online discussions from the Pandemic-Mental Health International Network (Pan-MHIN) - policy experts from across 16 locations in Australia, Denmark, Italy, Spain, Taiwan, the UK and the USA. While the initial focus of this research was on mental health, COVID-19 has raised much broader issues and questions for health planners. Results: We identified gaps affecting the capacity to respond effectively and quickly, including in relation to system indicators, the inadequacy of the prior classification of the phases of the pandemic, the absences of a healthcare ecosystem approach, and the quick shift to digital technologies. The strengths and weaknesses of COVID-19 responses across different systems, services, sites and countries been identified and compared, including both low and high impacted areas. Conclusions: There is an urgent need for managerial epidemiology based on healthcare ecosystem research encompassing multidisciplinary teams, visualization tools and decision analytics for rapid response. Policy and healthcare context played a key role in the response to COVID-19. Its severity, the containment measures and the societal response varied greatly across sites and countries. Understanding this variation is vital to assess the impact of COVID-19 in specific areas such as ageing or mental health.

© 2019 John Wiley & Sons Ltd Background: Behaviour and emotional problems are highly prevalent in children with autism spectrum disorder (ASD). In typically developing children, attachment quality acts as a risk/protective factor for behavioural outcomes and adjustment, warranting investigation in children with ASD. Method: We investigated the relationship between attachment and child behaviour and emotional problems in children with ASD and comorbid intellectual disability. Data were collected from parent–child dyads where children were diagnosed with ASD and ID (n = 28) or other developmental disabilities (n = 20). Results: Children with ASD had higher levels of behaviour and emotional problems and more attachment difficulties than children with other developmental disabilities. Poorer attachment quality contributed uniquely to the variance in child behaviour and emotional problems. Conclusions: Interventions targeting behaviour and emotional problems in children with ASD may benefit from an attachment model which addresses the child's difficulty in using caregivers as a coregulatory agent of emotions.

BACKGROUND: People with intellectual developmental disorders have significant health disparities and a lack of proper attention to their health needs. They have been underrepresented in scientific research, and very few studies have been carried out using a representative randomized sample. The aim of this study was to describe the methods used in the POMONA-ESP project to recruit a representative and randomized sample of participants with intellectual developmental disorders. METHODS: The POMONA-ESP project is an observational cross-sectional study. It aims to explore the health status of people with intellectual developmental disorders across Spain and the use they make of health services. RESULTS AND CONCLUSIONS: The results of the POMONA-ESP project may have a major impact on people with intellectual developmental disorders and society in general. It is the first study to obtain geographically representative epidemiological data from a large sample, information that is fundamental to improving care and healthcare planning for people with intellectual developmental disorders.

BACKGROUND: The aim of this paper was to summarize the main results of the POMONA-ESP project, the first study to explore health status in a large representative, randomized and stratified sample of people with intellectual developmental disorders in Spain. METHODS: The POMONA-ESP project collected information about the health of 953 individuals with intellectual developmental disorders. RESULTS: Diseases such as urinary incontinence, oral problems, epilepsy, constipation or obesity were highly prevalent among the participants; with gender-differentiated prevalences for certain conditions, and age and intellectual disability level as risk factors for disease. Overmedication was common in the sample, and drugs were often prescribed without any clinical indication or follow-up. The present authors also found a lack of important relevant information about the participant's health and a lack of adequate genetic counselling. CONCLUSIONS: Our findings may contribute to a better understanding of health status and needs of people with intellectual developmental disorders and suggest several courses of action to improve their health care.

© 2018, Springer Science+Business Media, LLC, part of Springer Nature. This paper investigates the role of caregiver mental health and parenting practices as predictors of attachment in children with intellectual disability/developmental delay, comparing between children with ASD (n = 29) and children with other developmental disabilities (n = 20). Parents reported that children with ASD had high levels of anxiety and stress, and attachment insecurity in children (less closeness and more conflict in attachment relationships, and more inhibited attachment behaviours) compared with children with other developmental disabilities. Children’s attachment quality was associated with parenting practices and the presence of an ASD diagnosis. These results highlight the bidirectional nature of the quality of caregiving environments and attachment in children with ASD, and also provide a strong rationale for targeting children’s attachment quality in early interventions.

BACKGROUND: Self-injurious behaviour (SIB) is a prevalent form of challenging behaviour in people with intellectual developmental disorders (IDD). Existing research has yielded conflicting findings concerning the major risk factors involved, and in addition, SIB shows multiple topographies and presentations. Although presence of autism spectrum disorders (ASD) and severity of intellectual disability (ID) are known risk factors for SIB, there are no studies comparing SIB topographies by severity degrees of ID and ASD. The purpose of the present paper has been to identify risk factors and topographies for SIB in a representative, stratified and randomised sample of adults with IDD. METHOD: This study was conducted on the basis of data collected by the POMONA-ESP project, in a sample of 833 adults with IDD. Data concerning demographic and health information, ASD symptoms, psychopathology and ID, have been analysed to determine the presence of risk factors for SIB among participants and to explore the occurrence and topographies of SIB across different severity levels of ID and ASD symptoms. RESULTS: Self-injurious behaviour prevalence in the sample was 16.2%. Younger age, oral pain, greater severity of ID, presence of dual diagnosis, psychiatric medication intake and higher scores on Childhood Autism Rating Scale were risk factors for SIB among participants, whereas number of areas with functioning limitations, place of residence, diagnosis of epilepsy and sex were not. SIB was more frequent in participants with ASD symptoms regardless of its severity level, and they displayed a higher number of different topographies of SIB. People with profound ID without co-morbid ASD symptoms showed similar results concerning SIB prevalence and topographies. CONCLUSIONS: Knowledge on risk factors and topographies of SIB might play a vital role in the development of prevention strategies and management of SIB in people with IDD. The mere presence of ASD symptoms, regardless of its severity level, can be a crucial factor to be taken into account in assessing SIB. Accordingly, the presence of SIB in people with ID, especially when presented with a varied number of topographies, might provide guidance on ASD differential diagnosis.

Strategies for the early detection of autism spectrum disorders (ASD) in people with intellectual developmental disorder (IDD) are urgently needed, but few specific tools have been developed. The present study examines the psychometric properties of the EVTEA-DI, a Spanish adaptation of the PDD-MRS, in a large randomized sample of 979 adults with IDD. Factorial solution analysis suggested a three-factor solution (stereotyped behavior, communication, and social behavior). The EVTEA-DI showed good reliability and convergent validity when compared to the Childhood Autism Rating Scale. Discriminative validity analysis resulted in an acceptable global sensitivity of 70% and a high specificity of 90%. The EVTEA-DI proved to be a valid screening tool in ASD assessment of the adult Spanish population with IDD.

Objective: Common mental disorders are the most common reason for long-term sickness absence in most developed countries. Prediction algorithms for the onset of common mental disorders may help target indicated work-based prevention interventions. We aimed to develop and validate a risk algorithm to predict the onset of common mental disorders at 12months in a working population. Methods: We conducted a secondary analysis of the Household, Income and Labour Dynamics in Australia Survey, a longitudinal, nationally representative household panel in Australia. Data from the 6189 working participants who did not meet the criteria for a common mental disorders at baseline were non-randomly split into training and validation databases, based on state of residence. Common mental disorders were assessed with the mental component score of 36-Item Short Form Health Survey questionnaire (score 45). Risk algorithms were constructed following recommendations made by the Transparent Reporting of a multivariable prediction model for Prevention Or Diagnosis statement. Results: Different risk factors were identified among women and men for the final risk algorithms. In the training data, the model for women had a C-index of 0.73 and effect size (Hedges' g) of 0.91. In men, the C-index was 0.76 and the effect size was 1.06. In the validation data, the C-index was 0.66 for women and 0.73 for men, with positive predictive values of 0.28 and 0.26, respectively Conclusion: It is possible to develop an algorithm with good discrimination for the onset identifying overall and modifiable risks of common mental disorders among working men. Such models have the potential to change the way that prevention of common mental disorders at the workplace is conducted, but different models may be required for women.