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      The barriers and facilitators to implementing dementia education and training in health and social care services: a mixed-methods study

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          Abstract

          Background

          The health and social care workforce requires access to appropriate education and training to provide quality care for people with dementia. Success of a training programme depends on staff ability to put their learning into practice through behaviour change. This study aimed to investigate the barriers and facilitators to implementation of dementia education and training in health and social care services using the Theoretical Domains Framework (TDF) and COM-B model of behaviour change.

          Methods

          A mixed-methods design. Participants were dementia training leads , training facilitators, managers and staff who had attended training who worked in UK care homes, acute hospitals, mental health services and primary care settings. Methods were an online audit of care and training providers, online survey of trained staff and individual/group interviews with organisational training leads, training facilitators, staff who had attended dementia training and managers. Data were analysed using descriptive statistics and thematic template analysis.

          Results

          Barriers and facilitators were analysed according the COM-B domains. “Capability” factors were not perceived as a significant barrier to training implementation. Factors which supported staff capability included the use of interactive face-to-face training, and training that was relevant to their role. Factors that increased staff “motivation” included skilled facilitation of training, trainees’ desire to learn and the provision of incentives (e.g. attendance during paid working hours, badges/certifications). “Opportunity” factors were most prevalent with lack of resources (time, financial, staffing and environmental) being the biggest perceived barrier to training implementation. The presence or not of external support from families and internal factors such as the organisational culture and its supportiveness of good dementia care and training implementation were also influential.

          Conclusions

          A wide range of factors may present as barriers to or facilitators of dementia training implementation and behaviour change for staff. These should be considered by health and social care providers in the context of dementia training design and delivery in order to maximise potential for implementation.

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          Most cited references29

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          E-learning for health professionals

          The use of e‐learning, defined as any educational intervention mediated electronically via the Internet, has steadily increased among health professionals worldwide. Several studies have attempted to measure the effects of e‐learning in medical practice, which has often been associated with large positive effects when compared to no intervention and with small positive effects when compared with traditional learning (without access to e‐learning). However, results are not conclusive. To assess the effects of e‐learning programmes versus traditional learning in licensed health professionals for improving patient outcomes or health professionals' behaviours, skills and knowledge. We searched CENTRAL, MEDLINE, Embase, five other databases and three trial registers up to July 2016, without any restrictions based on language or status of publication. We examined the reference lists of the included studies and other relevant reviews. If necessary, we contacted the study authors to collect additional information on studies. Randomised trials assessing the effectiveness of e‐learning versus traditional learning for health professionals. We excluded non‐randomised trials and trials involving undergraduate health professionals. Two authors independently selected studies, extracted data and assessed risk of bias. We graded the certainty of evidence for each outcome using the GRADE approach and standardised the outcome effects using relative risks (risk ratio (RR) or odds ratio (OR)) or standardised mean difference (SMD) when possible. We included 16 randomised trials involving 5679 licensed health professionals (4759 mixed health professionals, 587 nurses, 300 doctors and 33 childcare health consultants). When compared with traditional learning at 12‐month follow‐up, low‐certainty evidence suggests that e‐learning may make little or no difference for the following patient outcomes: the proportion of patients with low‐density lipoprotein (LDL) cholesterol of less than 100 mg/dL (adjusted difference 4.0%, 95% confidence interval (CI) −0.3 to 7.9, N = 6399 patients, 1 study) and the proportion with glycated haemoglobin level of less than 8% (adjusted difference 4.6%, 95% CI −1.5 to 9.8, 3114 patients, 1 study). At 3‐ to 12‐month follow‐up, low‐certainty evidence indicates that e‐learning may make little or no difference on the following behaviours in health professionals: screening for dyslipidaemia (OR 0.90, 95% CI 0.77 to 1.06, 6027 patients, 2 studies) and treatment for dyslipidaemia (OR 1.15, 95% CI 0.89 to 1.48, 5491 patients, 2 studies). It is uncertain whether e‐learning improves or reduces health professionals' skills (2912 health professionals; 6 studies; very low‐certainty evidence), and it may make little or no difference in health professionals' knowledge (3236 participants; 11 studies; low‐certainty evidence). Due to the paucity of studies and data, we were unable to explore differences in effects across different subgroups. Owing to poor reporting, we were unable to collect sufficient information to complete a meaningful 'Risk of bias' assessment for most of the quality criteria. We evaluated the risk of bias as unclear for most studies, but we classified the largest trial as being at low risk of bias. Missing data represented a potential source of bias in several studies. When compared to traditional learning, e‐learning may make little or no difference in patient outcomes or health professionals' behaviours, skills or knowledge. Even if e‐learning could be more successful than traditional learning in particular medical education settings, general claims of it as inherently more effective than traditional learning may be misleading. Is e‐learning more effective than traditional learning for health professionals? What is the aim of this review? The aim of this Cochrane Review is to find out whether e‐learning, that is, interactive online educational programmes, is more effective than traditional learning (with no access to e‐learning) in licensed health professionals for improving patient outcomes or health professionals' behaviours, skills and knowledge. Cochrane researchers collected and analysed all relevant evidence to answer this question and identified 16 studies. Key messages When compared to traditional learning, e‐learning may make little or no difference for improving patient outcomes or health professionals' behaviours and knowledge, and it is uncertain whether it improves or reduces health professionals' skills. What was studied in this review? Modern technologies have created new platforms for advancing medical education. E‐learning has gained popularity due to the potential benefits of personalised instruction, allowing learners to tailor the pace and content of courses to their individual needs, increasing the accessibility of information to remote learners, decreasing costs and facilitating frequent content updates. Previous reviews have not identified differences, but they were limited by the type of participants included (mix of licensed health professionals and medical students) and study types evaluated (randomised together with non‐randomised trials). What are the main results of the review? The review authors identified 16 relevant studies from 10 different countries, providing data on 5679 participants (4759 mixed health professionals, 587 nurses, 300 doctors and 33 childcare health consultants). Companies funded three studies, whereas government agencies financed six. One study with 847 health professionals found little or no difference between e‐learning and traditional learning on patient outcomes at one year, and two studies with 950 health professionals suggested little to no difference in health professionals' behaviours at 3 to 12 months, as the certainty of the evidence was low. We are uncertain whether e‐learning improves or reduces health professionals' skills at 0 to 12 weeks' follow‐up, based on the results of six studies with 2912 participants and very low certainty of evidence. E‐learning may also make little or no difference on health professionals' knowledge, based on the results from 11 studies with 3236 participants at 0 to 12 weeks follow‐up, as the certainty of the evidence was low. How up‐to‐date is this review? The review authors searched for studies that had been published up to July 2016.
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            The bowel preparation for magnetic resonance enterography in patients with Crohn’s disease: study protocol for a randomized controlled trial

            Background Adequate bowel preparation is required for magnetic resonance enterography (MRE), which can be achieved by administering contrast solution after mid-gut tubing or taking contrast solution orally. We present the design of randomized controlled trial (RCT) to compare the efficacy and compliance of bowel preparation between mid-gut tubing and oral administering for MRE in patients with Crohn’s disease (CD). Methods/design This is an open-label, multicenter RCT. Ninety-six patients with CD in need of MRE examination and mid-gut tubing (prepared for fecal microbiota transplantation and/or enteral nutrition), aged ≥ 14 years, will be included. Patients will be randomized 1:1 into either bowel preparation by oral administering (oral group) or bowel preparation through mid-gut transendoscopic enteral tubing (TET) (tubing group). The primary outcome measures are: (1) degree of discomfort before/during/after bowel preparation for MRE using a visual 5-grade scale (1 = few, 5 = very severe); and (2) grade of bowel distention evaluated by a 5-grade scale (1 = 0–20% segmental distention, 2 = 20–40% distention, 3 = 40–60% distention, 4 = 60–80% distention, 5 = 80–100% distention). The secondary outcome measure is the accuracy of lesion detection through MRE confirmed by colonoscopy which is evaluated by a 5-point scale. Discussion The outcome of this study is expected to provide a novel effective clinical protocol of bowel preparation for MRE in patients with CD. We hope to highlight the concept of physician–patient satisfaction based on different methods of bowel preparation for MRE. Trial registration ClinicalTrials.gov, NCT03541733. Registered on 30 May 2018. Electronic supplementary material The online version of this article (10.1186/s13063-018-3101-x) contains supplementary material, which is available to authorized users.
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              Why, and how, mixed methods research is undertaken in health services research in England: a mixed methods study

              Background Recently, there has been a surge of international interest in combining qualitative and quantitative methods in a single study – often called mixed methods research. It is timely to consider why and how mixed methods research is used in health services research (HSR). Methods Documentary analysis of proposals and reports of 75 mixed methods studies funded by a research commissioner of HSR in England between 1994 and 2004. Face-to-face semi-structured interviews with 20 researchers sampled from these studies. Results 18% (119/647) of HSR studies were classified as mixed methods research. In the documentation, comprehensiveness was the main driver for using mixed methods research, with researchers wanting to address a wider range of questions than quantitative methods alone would allow. Interviewees elaborated on this, identifying the need for qualitative research to engage with the complexity of health, health care interventions, and the environment in which studies took place. Motivations for adopting a mixed methods approach were not always based on the intrinsic value of mixed methods research for addressing the research question; they could be strategic, for example, to obtain funding. Mixed methods research was used in the context of evaluation, including randomised and non-randomised designs; survey and fieldwork exploratory studies; and instrument development. Studies drew on a limited number of methods – particularly surveys and individual interviews – but used methods in a wide range of roles. Conclusion Mixed methods research is common in HSR in the UK. Its use is driven by pragmatism rather than principle, motivated by the perceived deficit of quantitative methods alone to address the complexity of research in health care, as well as other more strategic gains. Methods are combined in a range of contexts, yet the emerging methodological contributions from HSR to the field of mixed methods research are currently limited to the single context of combining qualitative methods and randomised controlled trials. Health services researchers could further contribute to the development of mixed methods research in the contexts of instrument development, survey and fieldwork, and non-randomised evaluations.
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                Author and article information

                Contributors
                c.a.surr@leedsbeckett.ac.uk
                s.parveen27@bradford.ac.uk
                s.j.smith@leedsbeckett.ac.uk
                m.drury@bradford.ac.uk
                c.sass@leedsbeckett.ac.uk
                s.burden@leedsbeckett.ac.uk
                j.oyebode@bradford.ac.uk
                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central (London )
                1472-6963
                5 June 2020
                5 June 2020
                2020
                : 20
                : 512
                Affiliations
                [1 ]GRID grid.10346.30, ISNI 0000 0001 0745 8880, Centre for Dementia Research, , Leeds Beckett University, School of Health and Community Studies, ; Leeds, LS1 3HE UK
                [2 ]GRID grid.6268.a, ISNI 0000 0004 0379 5283, Centre for Applied Dementia Studies, , University of Bradford, ; Bradford, UK
                Author information
                http://orcid.org/0000-0002-4312-6661
                Article
                5382
                10.1186/s12913-020-05382-4
                7275489
                32503536
                c1e1b7b7-8749-4c23-bd6f-fc86670e1e1b
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 4 December 2019
                : 31 May 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001921, Public Health Research Programme;
                Award ID: PR-R10-0514-12006
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Health & Social care
                alzheimer’s disease,behaviour change,care homes,education,hospitals,mental health services,training,workforce development

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