53 research outputs found

    The case for collaborative learning: Introducing opportunities in the higher education setting

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    Public Health England and the Department of Health (2015) have documented that parents are requesting consistent professional advice throughout pregnancy and the early weeks following birth, as their care is transferred from midwives to health visitors. In addition, commissioners are increasingly seeking to integrate services to provide joined-up care and improve health outcomes for parents and families. This paper discusses the benefits, to both parents and health professionals, of collaborative working, together with the challenges faced by midwives and health visitors in the current climate. It explores the benefits of collaborative learning between the two disciplines in the higher education setting, with an example of a successful collaboration at the University of Central Lancashire

    Organisational strategies and practices to improve care using patient experience data in acute NHS hospital trusts: an ethnographic study

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    The NHS collects a lot of information about patients’ experiences of care; however, it is not clear how this information is used to achieve quality improvements. This study had two main aims: one was to explore how this information, also called patient experience data, translates into quality improvements in NHS hospitals, and the other was to understand the role of nurses in collecting, making sense of and using these data for improving care. The study had two phases. In phase 1, we observed practices in five NHS hospitals in England and interviewed key participants (including NHS staff and patient/carer representatives) to study what happened to patient experience data, especially in the areas of cancer and dementia care. In phase 2, we held a series of workshops (the first with participants from all five trusts and policy-makers, and then one workshop at each trust) to discuss how the early findings from our research may be relevant to NHS trusts. We found that (1) each type of data, for example a survey, goes through several transformations – from a paper questionnaire, to an electronic database, to a report – which can lead to care improvements at different stages of this transformation process; (2) when data are part of interactions – either with members of staff or with certain processes in the organisation – characterised by authority and autonomy, and context-awareness, it often leads to care improvements; (3) nurses are largely responsible for how data are collected, made sense of and used to improve care, but other roles – including those of clerical staff and other clinicians – are also important and may need more attention; (4) official quality improvement work may not take into account the less documented ‘everyday quality improvement’ work that happens in the organisation; and (5) holding workshops with participants can help organisational learning

    Patient experience feedback in UK hospitals : What types are available and what are their potential roles in quality improvement (QI)?

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    BACKGROUND & OBJECTIVES: The comparative uses of different types of patient experience (PE) feedback as data within quality improvement (QI) are poorly understood. This paper reviews what types are currently available and categorizes them by their characteristics in order to better understand their roles in QI. METHODS: A scoping review of types of feedback currently available to hospital staff in the UK was undertaken. This comprised academic database searches for "measures of PE outcomes" (2000-2016), and grey literature and websites for all types of "PE feedback" potentially available (2005-2016). Through an iterative consensus process, we developed a list of characteristics and used this to present categories of similar types. MAIN RESULTS: The scoping review returned 37 feedback types. A list of 12 characteristics was developed and applied, enabling identification of 4 categories that help understand potential use within QI-(1) Hospital-initiated (validated) quantitative surveys: for example the NHS Adult Inpatient Survey; (2) Patient-initiated qualitative feedback: for example complaints or twitter comments; (3) Hospital-initiated qualitative feedback: for example Experience Based Co-Design; (4) Other: for example Friends & Family Test. Of those routinely collected, few elicit "ready-to-use" data and those that do elicit data most suitable for measuring accountability, not for informing ward-based improvement. Guidance does exist for linking collection of feedback to QI for some feedback types in Category 3 but these types are not routinely used. CONCLUSION: If feedback is to be used more frequently within QI, more attention must be paid to obtaining and making available the most appropriate types

    Extending the Scope of Health Visiting and School Nursing Practice Within a 0–19 Service

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    In 2018, an employing organisation in the north of England introduced an initiative for health visitors and school nurses (SCPHN) to work in the other field of practice. The aim of this study was to explore SCPHN professionals’ and managers’ views about the introduction, benefits and challenges of extended SCPHN practice. Semi-structured interviews were undertaken with health visitors, school nurses, practice teachers, mentors and managers undertaking or supporting this initiative (n=18) and one focus group with eight SCPHNs working in the 0–19 service. These were audio-recorded, transcribed and thematically analysed. Workplace learning was challenging. Support from colleagues, mentors and practice teachers was crucial. Additional skills and knowledge were valued. SCPHNs gained confidence in working with children and families across the 0–19 age range. Additional skills enabled SCPHNs to deliver a more streamlined service to families with children aged 0–19 but concerns about workforce capacity and changing professional roles remain

    Power to the people: To what extent has public involvement in applied health research achieved this?

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    Public involvement in applied health research is a pre-requisite for funding from many funding bodies. In particular the National Institute of Health Research (NIHR) in the UK, clearly states that it values lay knowledge and there is an expectation that members of the public will participate as research partners in research. As a result a large public involvement infrastructure has emerged to facilitate this. However, there is concern that despite the flurry of activity in promoting public involvement, lay knowledge is marginalised and has limited impact on research decision-making. This article asks to what extent has power shifted from the scientific research community to the public? It discusses the meaning of power and models of public involvement and examines the development of public involvement in applied health research. It identifies public involvement in a range of decision-making: identifying priority areas for commissioning research; making decisions about which projects are funded; decisions about details of research design. Whilst there is evidence that the public voice is present in the composition of research proposals submitted to NIHR and in the decision-making about which projects are funded and how they are carried out, there is less evidence of a change in the power dynamic manifest in social relations between the scientific research community and the public. As a result the biomedical model remains dominant and largely unchallenged in research decision-making

    A stakeholder co-design approach for developing a community pharmacy service to enhance screening and management of atrial fibrillation

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    The authors would like to thank all participants in this research for their valuable input into the co-design process.Background: Community pharmacies provide a suitable setting to promote self-screening programs aimed at enhancing the early detection of atrial fibrillation (AF). Developing and implementing novel community pharmacy services (CPSs) is a complex and acknowledged challenge, which requires comprehensive planning and the participation of relevant stakeholders. Co-design processes are participatory research approaches that can enhance the development, evaluation and implementation of health services. The aim of this study was to co-design a pharmacist-led CPS aimed at enhancing self-monitoring/screening of AF. Methods: A 3-step co-design process was conducted using qualitative methods: (1) interviews and focus group with potential service users (n = 8) to identify key needs and concerns; (2) focus group with a mixed group of stakeholders (n = 8) to generate a preliminary model of the service; and (3) focus group with community pharmacy owners and managers (n = 4) to explore the feasibility and appropriateness of the model. Data were analysed qualitatively to identify themes and intersections between themes. The JeMa2 model to conceptualize pharmacybased health programs was used to build a theoretical model of the service. Results: Stakeholders delineated: a clear target population (i.e., individuals ≥65 years old, with hypertension, with or without previous AF or stroke); the components of the service (i.e., patient education; self-monitoring at home; results evaluation, referral and follow-up); and a set of circumstances that may influence the implementation of the service (e.g., quality of the service, competency of the pharmacist, inter-professional relationships, etc.). A number of strategies were recommended to enable implementation (e.g.,. endorsement by leading cardiovascular organizations, appropriate communication methods and channels between the pharmacy and the general medical practice settings, etc.). Conclusion: A novel and preliminary model of a CPS aimed at enhancing the management of AF was generated from this participatory process. This model can be used to inform decision making processes aimed at adopting and piloting of the service. It is expected the co-designed service has been adapted to suit existing needs of patients and current care practices, which, in turn, may increase the feasibility and acceptance of the service when it is implemented into a real setting.This work was funded by Covidien Pty Ltd. (Medtronic Australasia Pty Ltd) [UTS Project code: PRO16–0688], which is the company that has the rights to distribute the device Microlife BP A200 AFIB in Australia. Also, funding for this research has been provided by a UTS Chancellor’s postdoctoral fellowship awarded to the first author of this article (ID number: 2013001605)
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