56 research outputs found

    Waiting for surgery from the patient perspective

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    The aim of this study was to perform a systematic review of the impact of waiting for elective surgery from the patient perspective, with a focus on maximum tolerance, quality of life, and the nature of the waiting experience. Searches were conducted using Medline, PubMed, CINAHL, EMBASE, and HealthSTAR. Twenty-seven original research articles were identified which included each of these three themes. The current literature suggested that first, patients tend to state longer wait times as unacceptable when they experienced severe symptoms or functional impairment. Second, the relationship between length of wait and health-related quality of life depended on the nature and severity of proposed surgical intervention at the time of booking. Third, the waiting experience was consistently described as stressful and anxiety provoking. While many patients expressed anger and frustration at communication within the system, the experience of waiting was not uniformly negative. Some patients experienced waiting as an opportunity to live full lives despite pain and disability. The relatively unexamined relationship between waiting, illness and patient experience of time represents an area for future research

    Understanding the implementation of the holiday activities and food programme in the North East of England using normalization process theory

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    Following several pilot projects, in 2020, the Department for Education (DfE) in England committed funding of £220M p. a to its Holiday Activities and Food (HAF) programme to support all 153 upper-tier local authorities, comprising City Councils, County Councils and Metropolitan Borough Councils, to provide an activity and food programme for children who are in receipt of means-tested free school meals. In this study, qualitative interviews were conducted with representatives from three Local Authorities in the North East of England who were responsible for overseeing the implementation and delivery of HAF programmes in their Local Authority area to examine how the summer HAF programme was implemented during summer 2021. Interviews were conducted with eight participants prior to the implementation of the HAF programme, and four interviews were conducted after the programme had been delivered. Using a directed content analysis approach, an interpretative framework was co-developed, based on the four constructs (and selected sub-constructs) of Normalization Process Theory. This framework guided data coding. The analysis aimed to identify and understand the barriers and opportunities in relation to HAF implementation within local authorities. Participants did not perceive HAF as a totally new initiative as many had either commissioned or delivered holiday clubs in the past. However, the increased scale and scope of HAF was perceived as highly complex, involving multiple local authority departments and stakeholders. Nonetheless, HAF funding enabled local authorities to improve the quality and reach of their holiday programmes. Strong networks and good communication between all stakeholders supported successful delivery, despite tight delivery timescales. However, the rigidity of some of the DfE guidance was a barrier for some providers, particularly the recommended delivery model of 4 h a day, 4 days a week for 4 weeks, with many individual holiday clubs struggling to meet this level of delivery, and local authority leads interpreting the guidance at a club level rather than an individual child access level. Furthermore, participants considered the HAF eligibility criteria too restrictive. Many councils were developing long-term plans for HAF delivery, integrated into planning across several departments, and all local authorities were actively seeking ways to engage with and embed HAF within local communities

    Barriers and opportunities for evidence-based health service planning: the example of developing a Decision Analytic Model to plan services for sexually transmitted infections in the UK

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    Decision Analytic Models (DAMs) are established means of evidence-synthesis to differentiate between health interventions. They have mainly been used to inform clinical decisions and health technology assessment at the national level, yet could also inform local health service planning. For this, a DAM must take into account the needs of the local population, but also the needs of those planning its services. Drawing on our experiences from stakeholder consultations, where we presented the potential utility of a DAM for planning local health services for sexually transmitted infections (STIs) in the UK, and the evidence it could use to inform decisions regarding different combinations of service provision, in terms of their costs, cost-effectiveness, and public health outcomes, we discuss the barriers perceived by stakeholders to the use of DAMs to inform service planning for local populations, including (1) a tension between individual and population perspectives; (2) reductionism; and (3) a lack of transparency regarding models, their assumptions, and the motivations of those generating models

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

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    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
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