Systematic review of transition models for young people with long-term conditions: A report for NHS Diabetes.

Aims For many young people with Type 1 diabetes, transition from paediatric to adult care can result in a marked deterioration in glycaemic control. A systematic review assessed the effectiveness of transition models, or components of models, for managing the transition process in young people with long-term conditions, including Type 1 diabetes. This involved identifying (i) the main barriers and facilitators in implementing a successful transition programme, and (ii) the key issues for young people with long-term conditions and professionals involved in the transition process. Methods The following databases were searched from inception to August 2012: MEDLINE, EMBASE, PsychINFO, CINAHL, ASSIA, Social Services Abstracts, Academic Search Complete, Social Science Citation Index, Cochrane and Campbell Libraries. Selected studies included young people aged 11 to 25 diagnosed with long-term conditions who were in transition from paediatric to adult secondary health care services. Results 16 systematic reviews and 13 primary studies were included from 9992 records retrieved. No single transition model was uniquely effective. The most successful transitions centred around: young person-focused; age and developmentally appropriate content and delivery; self-management education; family participation; paediatric and adult collaboration; designated transition clinics; transition co-ordinator; young person’s portfolio; specific professionals training; multidisciplinary approach; structured process embedded in service delivery. There were no distinctive characteristics of condition-specific Type 1 diabetes services. Conclusion This important and timely review summarises the key factors that need to be considered for the development of transition programmes for young people with long-term conditions, including those with Type 1 diabetes

Game Changer: Investing in Digital Play to Advance Children's Learning and Health

Based on a literature review and interviews with digital learning experts, explores how digital games can foster skills and knowledge for better academic performance and health. Makes recommendations for government research, partnerships, and media

Systematic review of communication technologies to promote access and engagement of young people with diabetes into healthcare

Background: Research has investigated whether communication technologies (e.g. mobile telephony, forums, email) can be used to transfer digital information between healthcare professionals and young people who live with diabetes. The systematic review evaluates the effectiveness and impact of these technologies on communication. Methods: Nine electronic databases were searched. Technologies were described and a narrative synthesis of all studies was undertaken. Results: Of 20,925 publications identified, 19 met the inclusion criteria, with 18 technologies assessed. Five categories of communication technologies were identified: video-and tele-conferencing (n = 2); mobile telephony (n = 3); telephone support (n = 3); novel electronic communication devices for transferring clinical information (n = 10); and web-based discussion boards (n = 1). Ten studies showed a positive improvement in HbA1c following the intervention with four studies reporting detrimental increases in HbA1c levels. In fifteen studies communication technologies increased the frequency of contact between patient and healthcare professional. Findings were inconsistent of an association between improvements in HbA1c and increased contact. Limited evidence was available concerning behavioural and care coordination outcomes, although improvement in quality of life, patientcaregiver interaction, self-care and metabolic transmission were reported for some communication technologies. Conclusions: The breadth of study design and types of technologies reported make the magnitude of benefit and their effects on health difficult to determine. While communication technologies may increase the frequency of contact between patient and health care professional, it remains unclear whether this results in improved outcomes and is often the basis of the intervention itself. Further research is needed to explore the effectiveness and cost effectiveness of increasing the use of communication technologies between young people and healthcare professionals

Toward a Standardized Strategy of Clinical Metabolomics for the Advancement of Precision Medicine

Despite the tremendous success, pitfalls have been observed in every step of a clinical metabolomics workflow, which impedes the internal validity of the study. Furthermore, the demand for logistics, instrumentations, and computational resources for metabolic phenotyping studies has far exceeded our expectations. In this conceptual review, we will cover inclusive barriers of a metabolomics-based clinical study and suggest potential solutions in the hope of enhancing study robustness, usability, and transferability. The importance of quality assurance and quality control procedures is discussed, followed by a practical rule containing five phases, including two additional "pre-pre-" and "post-post-" analytical steps. Besides, we will elucidate the potential involvement of machine learning and demonstrate that the need for automated data mining algorithms to improve the quality of future research is undeniable. Consequently, we propose a comprehensive metabolomics framework, along with an appropriate checklist refined from current guidelines and our previously published assessment, in the attempt to accurately translate achievements in metabolomics into clinical and epidemiological research. Furthermore, the integration of multifaceted multi-omics approaches with metabolomics as the pillar member is in urgent need. When combining with other social or nutritional factors, we can gather complete omics profiles for a particular disease. Our discussion reflects the current obstacles and potential solutions toward the progressing trend of utilizing metabolomics in clinical research to create the next-generation healthcare system.11Ysciescopu

ReseArch with Patient and Public invOlvement: a RealisT evaluation - the RAPPORT study

Background Patient and public involvement (PPI) is a prerequisite for many funding bodies and NHS research ethics approval. PPI in research is defined as research carried out with or by the public rather than to, about or for them. While the benefits of PPI have been widely discussed, there is a lack of evidence on the impact and outcomes of PPI in research. Objectives To determine the types of PPI in funded research, describe key processes, analyse the contextual and temporal dynamics of PPI and explore the experience of PPI in research for all those involved. Mechanisms contributing to the routine incorporation of PPI in the research process were assessed, the impact of PPI on research processes and outcomes evaluated, and barriers and enablers to effective PPI identified. Design A three-staged realist evaluation drawing on Normalisation Process Theory to understand how far PPI was embedded within health-care research in six areas: diabetes mellitus, arthritis, cystic fibrosis, dementia, public health and learning disabilities. The first two stages comprised a scoping exercise and online survey to chief investigators to assess current PPI activity. The third stage consisted of case studies tracked over 18 months through interviews and document analysis. The research was conducted in four regions of England. Participants Non-commercial studies currently running or completed within the previous 2 years eligible for adoption on the UK Clinical Research Network portfolio. A total of 129 case study participants included researchers and PPI representatives from 22 research studies, and representatives from funding bodies and PPI networks

Evaluating the impact of physical activity apps and wearables: interdisciplinary review

Background: Although many smartphone apps and wearables have been designed to improve physical activity, their rapidly evolving nature and complexity present challenges for evaluating their impact. Traditional methodologies, such as randomized controlled trials (RCTs), can be slow. To keep pace with rapid technological development, evaluations of mobile health technologies must be efficient. Rapid alternative research designs have been proposed, and efficient in-app data collection methods, including in-device sensors and device-generated logs, are available. Along with effectiveness, it is important to measure engagement (ie, users’ interaction and usage behavior) and acceptability (ie, users’ subjective perceptions and experiences) to help explain how and why apps and wearables work. Objectives: This study aimed to (1) explore the extent to which evaluations of physical activity apps and wearables: employ rapid research designs; assess engagement, acceptability, as well as effectiveness; use efficient data collection methods; and (2) describe which dimensions of engagement and acceptability are assessed. Method: An interdisciplinary scoping review using 8 databases from health and computing sciences. Included studies measured physical activity, and evaluated physical activity apps or wearables that provided sensor-based feedback. Results were analyzed using descriptive numerical summaries, chi-square testing, and qualitative thematic analysis. Results: A total of 1829 abstracts were screened, and 858 articles read in full. Of 111 included studies, 61 (55.0%) were published between 2015 and 2017. Most (55.0%, 61/111) were RCTs, and only 2 studies (1.8%) used rapid research designs: 1 single-case design and 1 multiphase optimization strategy. Other research designs included 23 (22.5%) repeated measures designs, 11 (9.9%) nonrandomized group designs, 10 (9.0%) case studies, and 4 (3.6%) observational studies. Less than one-third of the studies (32.0%, 35/111) investigated effectiveness, engagement, and acceptability together. To measure physical activity, most studies (90.1%, 101/111) employed sensors (either in-device [67.6%, 75/111] or external [23.4%, 26/111]). RCTs were more likely to employ external sensors (accelerometers: P=.005). Studies that assessed engagement (52.3%, 58/111) mostly used device-generated logs (91%, 53/58) to measure the frequency, depth, and length of engagement. Studies that assessed acceptability (57.7%, 64/111) most often used questionnaires (64%, 42/64) and/or qualitative methods (53%, 34/64) to explore appreciation, perceived effectiveness and usefulness, satisfaction, intention to continue use, and social acceptability. Some studies (14.4%, 16/111) assessed dimensions more closely related to usability (ie, burden of sensor wear and use, interface complexity, and perceived technical performance). Conclusions: The rapid increase of research into the impact of physical activity apps and wearables means that evaluation guidelines are urgently needed to promote efficiency through the use of rapid research designs, in-device sensors and user-logs to assess effectiveness, engagement, and acceptability. Screening articles was time-consuming because reporting across health and computing sciences lacked standardization. Reporting guidelines are therefore needed to facilitate the synthesis of evidence across disciplines

The Value Driven Pharmacist: Basics of Access, Cost, and Quality 2nd Edition

https://digitalcommons.butler.edu/butlerbooks/1017/thumbnail.jp

Type 2 diabetes mellitus and online learning : a patient-centred approach

Type 2 diabetes mellitus is one of the most pressing global health problems. It is often considered to be a ‘lifestyle condition’ associated with distinct patterns of nutritional and physical activity. Treatment options can be biomedical or a combination of educational and biomedical approaches. Treatment strategies that focus on educational interventions in a health context tend to focus on psychological constructs (self-efficacy, for example) but are often under-theorised in terms of learning theory. Technology-based interventions are also similarly lacking in their employment of learning theory as they often tend to focus on the transactional nature of information flow between the user and adopted technology platform. This project, on the other hand, places learning theory at the core of the design of an online-based, patient-centred learning community for people with type 2 diabetes. The project adopted a design-based research approach and the objective was to provide an environment conducive to the development of a community of practice and learning for participants with type 2 diabetes and to explore if the characteristics of transformative learning could be identified. Interviews, self-efficacy surveys and focus groups were conducted during various stages of the design. The analytical approach included activity theory and the community of inquiry framework. The results demonstrate that a design-based research process can be effectively utilised for the development of an online patient-centred learning environment in the context of type 2 diabetes. It was shown that the adoption of the theory of transformative learning can help to frame the various types of learning that take place during the process associated with self-management of a chronic disease such as diabetes. Analysis of the engagement with the learning community Type 2 diabetes mellitus and online learning: a patient-centred approach indicates that the characteristics of transformative learning were partially realised although a community of practice was not established. The study illustrates the role that a theory-rich patient-centred learning environment can play in the ongoing process of patient care in the context of type 2 diabetes. Interventions in other chronic disease contexts may also benefit from the results of this study