Improving sustainable transportation options will help cities tackle growing challenges related to population health, congestion, climate change and inequity. Interventions supporting active transportation face many practical and political hurdles. Implementation science aims to understand how interventions or policies arise, how they can be translated to new contexts or scales and who benefits. Sustainable transportation interventions are complex, and existing implementation science frameworks may not be suitable. To apply and adapt implementation science for healthy cities, we have launched our mixed-methods research programme, CapaCITY/É. We aim to understand how, why and for whom sustainable transportation interventions are successful and when they are not.

Across nine Canadian municipalities and the State of Victoria (Australia), our research will focus on two types of sustainable transportation interventions: all ages and abilities bicycle networks and motor vehicle speed management interventions. We will (1) document the implementation process and outcomes of both types of sustainable transportation interventions; (2) examine equity, health and mobility impacts of these interventions; (3) advance implementation science by developing a novel sustainable transportation implementation science framework and (4) develop tools for scaling up and scaling out sustainable transportation interventions. Training activities will develop interdisciplinary scholars and practitioners able to work at the nexus of academia and sustainable cities.

This study received approval from the Simon Fraser University Office of Ethics Research (H22-03469). A Knowledge Mobilization Hub will coordinate dissemination of findings via a website; presentations to academic, community organisations and practitioner audiences; and through peer-reviewed articles.

It has been hypothesised that functional somatic disorders (FSD) could be initiated by sympathetic predominance in the autonomic nervous system as measured by low heart rate variability (HRV). Earlier studies on the association between HRV and FSD are small case–control studies hampered by selection bias and do not consider the great overlap between the various FSDs. The aim of the present study is to assess any associations between HRV and various FSDs and whether chronic stress confounds such an association.

A cross-sectional general population-based study.

The Danish Study of Functional Somatic Disorders conducted 2013–2015 in 10 municipalities in the western part of Greater Copenhagen, Denmark.

A total of 6891 men and women aged 18–72 years were included in the analyses after exclusion of 602 persons with missing HRV data. Various delimitations of FSD (chronic fatigue, chronic widespread pain, irritable bowel and bodily distress syndrome) were identified by validated questionnaires and diagnostic interviews. HRV parameters in time and frequency domains were calculated from successive beat-to-beat heart rate (HR) data using the ‘E-motion’ HR monitor device during 7 min of supine rest. Chronic stress was assessed by Cohen’s self-perceived stress scale.

Logistic regression analyses were used to calculate possible associations between the various delimitations of FSD and HRV adjusting for chronic stress.

Persons with FSD had a slightly higher mean HR and lower HRV as measured by time domain parameters, whereas associations with frequency domain parameters were not consistent. Adjusting for chronic stress attenuated associations slightly.

The study supports a sympathetic predominance in persons with FSD, which could not be entirely explained by chronic stress. However, it is not possible to conclude whether the association is a causal factor to or a consequence of FSD.

To provide an overview of existing instruments measuring patient-perceived quality of nursing care and to develop and psychometrically evaluate a new multidimensional scale applicable to the German acute care sector.

We conducted a scale development and validation study involving the following phases: (1) performing a structured literature search to identify existing scales, (2) generating an initial pool of items using the results of the literature search and expert interviews, (3) coding/categorising the item pool, (4) organising a peer researcher workshop to select relevant items, (5) drafting the survey questionnaire and conducting cognitive pretesting, (6) pilot testing the survey questionnaire, (7) administering the survey to a large sample of hospital patients and (8) conducting a psychometric evaluation comprising exploratory factor analysis using the survey results, followed by confirmatory factor analysis and reliability and validity assessment of the resulting draft scale.

17 859 recently hospitalised patients discharged from non-intensive care in non-paediatric and non-psychiatric hospital units in Germany between May and October 2019.

We identified 32 instruments comprising 635 items on nursing care quality. Alongside 135 indicators derived from expert interviews, these formed our initial item pool, which we coded into 15 categories. From this pool, 36 items were selected in the peer researcher workshop for pretesting and psychometric evaluation. Based on the results of our exploratory and confirmatory factor analyses, we propose a second-order scale to measure Patients’ Experience of Nursing Quality in Acute Hospitals (PENQuAH), including the two higher-order dimensions ‘patients’ perception of direct nursing care activities’ and ‘patients’ perception of guidance provided by nurses’. The results of various tests suggest the scale has sufficient goodness of fit, reliability and validity.

The PENQuAH scale is promising in terms of its psychometric properties, the plausibility and meaningfulness of its dimensions, and its ease of use.

According to the Medical Research Council (MRC) framework, the theorisation of how multilevel, multicomponent interventions work and the understanding of their interaction with their implementation context are necessary to be able to evaluate them beyond their complexity. More research is needed to provide good examples following this approach in order to produce evidence-based information on implementation practices.

This article reports on the results of the process evaluation of a complex mental health intervention in small and medium enterprises (SMEs) tested through a pilot study. The overarching aim is to contribute to the evidence base related to the recruitment, engagement and implementation strategies of applied mental health interventions in the workplace.

The Mental Health Promotion and Intervention in Occupational Settings (MENTUPP) intervention was pilot tested in 25 SMEs in three work sectors and nine countries. The evaluation strategy of the pilot test relied on a mixed-methods approach combining qualitative and quantitative research methods. The process evaluation was inspired by the RE-AIM framework and the taxonomy of implementation outcomes suggested by Proctor and colleagues and focused on seven dimensions: reach, adoption, implementation, acceptability, appropriateness, feasibility and maintenance.

Factors facilitating implementation included the variety of the provided materials, the support provided by the research officers (ROs) and the existence of a structured plan for implementation, among others. Main barriers to implementation were the difficulty of talking about mental health, familiarisation with technology, difficulty in fitting the intervention into the daily routine and restrictions caused by COVID-19.

The results will be used to optimise the MENTUPP intervention and the theoretical framework that we developed to evaluate the causal mechanisms underlying MENTUPP. Conducting this systematic and comprehensive process evaluation contributes to the enhancement of the evidence base related to mental health interventions in the workplace and it can be used as a guide to overcome their contextual complexity.

ISRCTN14582090.

One-third of children in England have special educational needs (SEN) provision recorded during their school career. The proportion of children with SEN provision varies between schools and demographic groups, which may reflect variation in need, inequitable provision and/or systemic factors. There is scant evidence on whether SEN provision improves health and education outcomes.

The Health Outcomes of young People in Education (HOPE) research programme uses administrative data from the Education and Child Health Insights from Linked Data—ECHILD—which contains data from all state schools, and contacts with National Health Service hospitals in England, to explore variation in SEN provision and its impact on health and education outcomes. This umbrella protocol sets out analyses across four work packages (WP). WP1 defined a range of ‘health phenotypes’, that is health conditions expected to need SEN provision in primary school. Next, we describe health and education outcomes (WP1) and individual, school-level and area-level factors affecting variation in SEN provision across different phenotypes (WP2). WP3 assesses the impact of SEN provision on health and education outcomes for specific health phenotypes using a range of causal inference methods to account for confounding factors and possible selection bias. In WP4 we review local policies and synthesise findings from surveys, interviews and focus groups of service users and providers to understand factors associated with variation in and experiences of identification, assessment and provision for SEN. Triangulation of findings on outcomes, variation and impact of SEN provision for different health phenotypes in ECHILD, with experiences of SEN provision will inform interpretation of findings for policy, practice and families and methods for future evaluation.

Research ethics committees have approved the use of the ECHILD database and, separately, the survey, interviews and focus groups of young people, parents and service providers. These stakeholders will contribute to the design, interpretation and communication of findings.