130,619 research outputs found
General practitioners' attitudes and decision making regarding admission for older adults with infection:a UK qualitative interview study
No full textBackgroundThe world has an ageing population. Infection is common in older adults; serious infection has a high mortality rate and is associated with unplanned admissions. In the UK, general practitioners (GPs) must identify which older patients require admission to hospital and provide appropriate care and support for those staying at home.ObjectivesTo explore attitudes of UK GPs towards referring older patients with suspected infection to hospital, how they weigh up the decision to admit against the alternatives and how alternatives to admission could be made more effective.Methods. Qualitative study using semi-structured interviews. GPs were purposively sampled from across the UK to achieve maximum variation in terms of GP role, experience and practice population. Interview transcripts were coded and analysed using a modified framework approach.ResultsGPs' key influences on decision making were grouped into patient, GP and system factors. Patient factors included clinical factors, social factors and shared decision making. GP factors included gut instinct, risk management and acknowledging an associated personal emotional burden. System factors involved weighing up the pressure on secondary care beds against increasing GP workload. GPs described that finding an alternative to admission could be more time consuming, complex to arrange or were restricted by lack of capacity.ConclusionGPs need to be empowered to make safe decisions about place of care for older adults with suspected infection. This may mean developing strategies to support decision making as well as improving the ease of access to, and capacity of, any alternatives to admission.</p
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Infection in older adults:a qualitative study of patient experience
No full textBackground: Infection is common in older adults. Serious infection has a high mortality rate and is associated with unplanned hospital admissions. Little is known about the factors that prompt older patients to seek medical advice when they may have an infection.Aim: To explore the symptoms of infection from the perspective of older adults, and when and why older patients seek healthcare advice for a possible infection.Design and setting: A qualitative interview study among adults aged ≥70 years with a clinical diagnosis of infection recruited from ambulatory care units in Oxford, UK.Method: Interviews were semi-structured and based on a flexible topic guide. Participants were given the option to be interviewed with their carer. Thematic analysis was facilitated using NVivo (version 11).Results: A total of 28 participants (22 patients and six carers) took part. Patients (aged 70–92 years) had experienced a range of different infections. Several early non-specific symptoms were described (fever, feeling unwell, lethargy, vomiting, pain, and confusion/delirium). Internally minimising symptoms was common and participants with historical experience of infection tended to be better able to interpret their symptoms. Factors influencing seeking healthcare advice included prompts from family, specific or intolerable symptoms, symptom duration, and being unable to manage with self-care. For some, not wanting to be a burden affected their desire to seek help.Conclusion: Tailored advice to older adults highlighting early symptoms of infection may be beneficial. Knowing whether patients have had previous experience of infection may help healthcare professionals in assessing older patients with possible infection.</p
Improving the rehabilitation of older people after emergency hospital admission
No full textPurpose
Older adults are at risk of functional decline during emergency hospital admissions. This review aims to understand which exercise-based interventions are effective in improving function for older adults who experience unplanned admissions.
Methods
Database searches identified randomised control trials (RCTs) comparing exercise-based interventions with usual hospital care. The primary outcome was functional status measured by activities of daily living (ADL) scores. Secondary outcomes were length of hospital stay (LOS), mortality and readmissions. Sub-group meta-analyses were conducted on interventions delivered in-hospital only compared with interventions provided both in hospital and after discharge.
Results
After reviewing 8365 studies, nine were eligible for inclusion. Seven were included in the meta-analysis. Participants from five countries had a mean age of 79 years (1602 participants). Usual care varied considerably and the interventions showed heterogeneity, with different combinations of strengthening, resistance, high-intensity or mobility exercises. There were limited descriptions of exercise intervention delivery and participant adherence. There is low-quality evidence supporting exercise interventions that have both in-hospital and post-discharge components (3 trials, SMD 0.56 (−0.02, 1.13)). Trials involving only in-hospital interventions were inconclusive for functional gains (5 trials, SMD −0.04 (−0.31, 0.22)).
Conclusions
Exercise-based rehabilitation for older patients after emergency hospitalisation improves functional ability if the intervention starts in hospital and continues after discharge. No conclusions can be made regarding the effective exercise ‘dose’ or content
Antibiotic prescribing for the older adult:beliefs and practices in primary care
No full textBackground: Older adults suffer high morbidity and mortality following serious infections, and hospital admissions with these conditions are increasingly common. Antibiotic prescribing in the older adult population, especially in long-term care facilities, has been argued to be inappropriately high. In order to develop the evidence base and provide support to GPs in achieving antimicrobial stewardship in older adults it is important to understand their attitudes and beliefs toward antibiotic prescribing in this population. Objectives: To understand the attitudes and beliefs held by GPs regarding antibiotic prescribing in older adults. Methods: Semi-structured qualitative interviews were conducted with 28 GPs working in the UK. Data analysis followed a modified framework approach. Results: GPs described antibiotic prescribing in older adults as differing from prescribing in other age groups in a number of ways, including prescribing broad-spectrum, longer and earlier antibiotics in this population. There were also rationales for situations where antibiotics were prescribed despite there being no clear diagnosis of infection. Trials of antibiotics were used both as diagnostic aids and in an attempt to avoid admission. The risks of antibiotics were understood, but in some cases restrictions on antibiotic use were thought to hamper optimal management of infection in this age group. Conclusions: Diagnosing serious infections in older adults is challenging and antibiotic prescribing practices reflect this challenge, but also reflect an absence of clear guidance or evidence. Research that can fill the gaps in the evidence base is required in order to support GPs with their critical antimicrobial stewardship role in this population.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Population Vulnerability to Unexpected Health Shocks: Geographical Disparities in England at the Time of COVID-19
No full textObjectives The growth of COVID-19 infections in England raises questions about system vulnerability. Several factors that vary across geographies, such as age, existing disease prevalence, medical resource availability and deprivation, can trigger adverse effects on the National Health System during a pandemic. In this paper, we present data on these factors and combine them to create an index to show which areas are more exposed. This technique can help policy makers to moderate the impact of similar pandemics. Design We combine several sources of data, which describe specific risk factors linked with the outbreak of a respiratory pathogen, that could leave local areas vulnerable to the harmful consequences of large-scale outbreaks of contagious diseases. We combine these measures to generate an index of community-level vulnerability. Setting 91 Clinical Commissioning Groups (CCGs) in England. Main outcome measures We merge 15 measures spatially to generate an index of community-level vulnerability. These measures cover prevalence rates of high-risk diseases; proxies for the at-risk population density; availability of staff and quality of healthcare facilities. Results We find that 80% of CCGs that score in the highest quartile of vulnerability are located in the North of England (24 out of 30). Here, vulnerability stems from a faster rate of population ageing and from the widespread presence of underlying at-risk diseases. These same areas, especially the North-East Coast areas of Lancashire, also appear vulnerable to adverse shocks to healthcare supply due to tighter labour markets for healthcare personnel. Importantly, our index correlates with a measure of social deprivation, indicating that these communities suffer from long-standing lack of economic opportunities and are characterised by low public and private resource endowments. Conclusions Evidence-based policy is crucial to mitigate the health impact of pandemics such as COVID-19. While current attention focuses on curbing rates of contagion, we introduce a vulnerability index combining data that can help policy makers identify the most vulnerable communities. We find that this index is positively correlated with COVID-19 deaths and it can thus be used to guide targeted capacity building. These results suggest that a stronger focus on deprived and vulnerable communities is needed to tackle future threats from emerging and re-emerging infectious diseas
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