1,721,023 research outputs found
Eliciting and prioritising determinants of improved care in Multiple Long Term Health Conditions (MLTC): a modified online Delphi study
No full textIntroduction: Multiple Long Term Conditions (MLTC) are a major challenge to health and social care systems around the world. There is limited research exploring the wider contextual determinants that are important to improving care for people living with MLTC. In this study, we aimed to elicit and prioritise determinants of improved care in people with MLTC.Methods: a three round online Delphi study was conducted in England with health and social care professionals, data scientists, researchers, people living with MLTC and their carers.Results: our findings suggest a care system which is still predominantly single condition focused. ‘Person-centred and holistic care’ and ‘coordinated and joined up care’, were highly rated determinants in relation to improved care for MLTC. We further identified a number of non-medical determinants that are important to providing holistic care for MLTC.Conclusions: further progress towards a holistic and patient centred model is needed to ensure that care more effectively addresses the complex range of medical and non-medical needs of people living with MLTC. This requires a move from a single condition focused biomedical model to a person-based biopsychosocial approach, which has yet to be achieved
Clustering populations by health and social care with multiple long-term conditions: a cohort study — the English Longitudinal Study of Ageing (ELSA)
Full text linkBackground The integration of health and social care services is a potential solution for improving care, despite monetary constraints and increasing demand. How two or more multiple long-term conditions (MLTC) cluster, interact and associate with socioeconomic factors, and affect access to unscheduled primary healthcare services is understudied.
Aim To cluster an MLTC population by health and social care, examine clusters, and quantify associations with health outcomes.
Method A retrospective cohort study was conducted using the ELSA database (2002 to 2019) on 19802 participants aged ≥50 years. Ten major health conditions, and social care need, including difficulty in activities of daily living (ADL) and mobility, for example, were used to cluster MLTC by latent class modelling. Multivariate logistic regression models were used to establish further association.
Results The mean age of the participants at baseline (wave 2) was about 66 years and 55% of participants were female, with more than 60% developing MLTC in their lifetime (waves 2 to 9). Of the five distinct latent clusters, cluster 5 was the most significant cluster composed of lung diseases, stroke, dementia, and high ADL and mobility difficulty scores. The majority of the participants were aged 70–79 years, female, and married. The odds of having a longer nursing home stay were 8.97 (95% confidence interval = 4.36 to 18.45), and death was 10% higher in this cluster compared to the highest probability cluster 4 in the maximally adjusted regression model.
Conclusion This study identified MLTC clusters by social care need with the highest primary care demand. Targeting clinical practice to prevent MLTC progression for these groups may lessen future pressures on primary care demand
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Risk of cardiovascular disease outcomes in primary care subjects with familial hypercholesterolaemia: A cohort study
Full text linkBackground and aims: Familial hypercholesterolaemia (FH) is a known major cause of premature heart disease. However, the risks of atherosclerotic disease in other vascular regions are less known. We determined the risk of major cardiovascular disease (CVD) outcomes associated with clinical FH.Methods: In a retrospective cohort study (1 January, 1999 to 22 July, 2016), we randomly-matched 14,097 UK subjects with clinical FH diagnoses or characteristics (Simon-Broome definite or Dutch Lipid Clinic Score >8) to 42,506 subjects without FH by age, sex, general practice. We excluded those with CVD at baseline. Incident rates for coronary heart disease (CHD), stroke or transient ischaemic attack (TIA) and peripheral vascular disease (PVD) were estimated. Cox proportional hazards regression, stratified on matched-pairs, determined adjusted hazards ratios (HR) for incident CVD.Results: During follow-up (median 13.8 years), incidence rates (95% CI) of CVD (per 1000 person-years) were 25.6 (24.8–26.3) in FH and 2.9 (2.8–3.1) in non-FH subjects. The risk of CHD, stroke/TIA and PVD was higher in FH compared to non-FH subjects: CHD (HR 10.63, 95% CI 9.82–11.49), stroke/TIA (HR 6.74, 95% CI 5.84–7.77), PVD (HR 7.17, 95% CI 6.08–8.46). The risk of CVD was greater in those with FH characteristics (HR 13.52, 95% CI 12.48–14.65) than those with clinical diagnoses (HR 1.66, 95% CI 1.42–1.93).Conclusions: In addition to the recognised increased risk of CHD, subjects with FH have greatly elevated risk of stroke/TIA and PVD. This emphasises need for early diagnosis and preventive interventions beyond CHD, to reduce CVD risk in these individuals
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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