Aim: To identify discrete approaches to specialist healthcare support for older care home residents in the UK and to estimate their prevalence.
Background: Internationally, a range of new initiatives are emerging to meet the multiple and complex healthcare needs of care home residents. However, little is known about their relative effectiveness and, given their heterogeneity, a classification scheme is required to enable research staff to explore this.
Method: A UK survey collected information on the funding, age, coverage, aims, staffing and activities of 64 specialist care home support services. Latent class analysis (LCA) was used to allocate the sample into subgroups with similar characteristics.
Findings: Three classes were identified. Class 1 (55% of sample) contained services with a high probability of providing scheduled input (regular preplanned visits) and support for all residents and a moderate probability of undertaking medication management, but a low probability of training care home staff ('predominantly direct care'). Class 2 (23% of sample) had a moderate/high probability of providing scheduled input, support for all residents, medication management and training ('direct and indirect care'). Class 3 (22% of sample) had a low probability of providing scheduled input, support for all residents and medication management, but a high probability of providing training for care home staff ('predominantly indirect care'). Consultants were more likely to be members of services in Class 1 than Class 2, and Class 2 than Class 3.
Conclusions: LCA offers a promising approach to the creation of a taxonomy of specialist care home support services. The skills and knowledge required by healthcare staff vary between classes, raising important issues for service design. The proposed classification can be used to explore the extent to which different organisational forms are associated with better resident, process and service outcomes.
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http://dx.doi.org/10.1017/S1463423619000586 | DOI Listing |
Introduction: This report provides prevalence estimates of adult obesity and severe obesity during August 2021-August 2023 by age and sex, as well as obesity prevalence by education level. Trends in the prevalence of adult obesity and severe obesity over the previous 10 years are also shown.
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PLoS One
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Department of Urology, Renmin Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
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View Article and Find Full Text PDFJAMA Netw Open
January 2025
Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, the Netherlands.
Importance: Patients with achalasia face a higher risk of developing esophageal cancer (EC), but the surveillance strategies for these patients remain controversial due to the long disease duration and the lack of identified risk factors.
Objective: To investigate the prevalence of esophageal Candida infection among patients with achalasia and to assess the association of Candida infection with EC risk within this population.
Design, Setting, And Participants: This retrospective cohort study included patients with achalasia diagnosed at or referred for treatment and monitoring to the Erasmus University Medical Center in Rotterdam, the Netherlands, between January 1, 1980, and May 31, 2024.
Aging Clin Exp Res
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Department of Spine Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, 710054, Shaanxi, China.
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Clin Transl Sci
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School of Pharmacy, Sungkyunkwan University, Suwon, Gyeonggi-do, Republic of Korea.
This study investigated the success rate of Phase 1 clinical trial entry and the factors influencing it in oncology projects involving academia-industry collaboration during the discovery and preclinical stages. A total of 344 oncology projects in the discovery stage and 360 in the preclinical stage, initiated through collaborations with universities or hospitals between 2015 and 2019, were analyzed. The Phase 1 clinical trial entry success rates for oncology collaborative projects were 9.
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