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The increasing elderly population has led to a growing demand for healthcare services. A hospital at home treatment model offers an alternative to standard hospital admission, with the potential to reduce readmission and healthcare consumption while improving patients’ quality of life. However, there is little evidence regarding hospital at home treatment in a Danish setting. This article describes the protocol for a randomised controlled trial (RCT) comparing standard hospital admission to hospital at home treatment. The main aim of the intervention is to reduce 30-day acute readmission after discharge and improve the quality of life of elderly acute patients.
A total of 849 elderly acute patients will be randomised in a 1:2 ratio to either the control or intervention group in the trial. The control group will receive standard hospital treatment in a hospital emergency department while the intervention group will receive treatment at home. The primary outcomes of the trial are the rate of 30-day acute readmission and quality of life, assessed using the European Quality of Life-5 Dimensions-5-Level instrument. Primary analyses are based on the intention-to-treat principle. Secondary outcomes are basic functional mobility, resource use in healthcare, primary and secondary healthcare cost, incremental cost-effectiveness ratio, and the mortality rate 3 months after discharge.
The RCT was approved by the Ethical Committee, Central Denmark Region (no. 1-10-72-67-20). Results will be presented at relevant national and international meetings and conferences and will be published in international peer-reviewed journals. Furthermore, we plan to communicate the results to relevant stakeholders in the Danish healthcare system.
Understanding human mobility’s role in malaria transmission is critical to successful control and elimination. However, common approaches to measuring mobility are ill-equipped for remote regions such as the Amazon. This study develops a network survey to quantify the effect of community connectivity and mobility on malaria transmission.
We measure community connectivity across the study area using a respondent driven sampling design among key informants who are at least 18 years of age. 45 initial communities will be selected: 10 in Brazil, 10 in Ecuador and 25 in Peru. Participants will be recruited in each initial node and administered a survey to obtain data on each community’s mobility patterns. Survey responses will be ranked and the 2–3 most connected communities will then be selected and surveyed. This process will be repeated for a third round of data collection. Community network matrices will be linked with each country’s malaria surveillance system to test the effects of mobility on disease risk.
This study protocol has been approved by the institutional review boards of Duke University (USA), Universidad San Francisco de Quito (Ecuador), Universidad Peruana Cayetano Heredia (Peru) and Universidade Federal Minas Gerais (Brazil). Results will be disseminated in communities by the end of the study.
To identify studies and the content of the interventions that have facilitated the implementation of pressure injury (PI) prevention measures in nursing home settings.
A scoping review methodology was employed. The author has carried out the following steps successively: Identified this scoping review's questions, retrieved potentially relevant studies, selected relevant studies, charted the data, summarised the results, and consulted with stakeholders from nursing homes in China.
Six electronic databases and three resources of grey literature—PubMed, CINAHL, Web of Science Core Collection, Embase, Cochrane Central Register of Controlled Trials, Psych INFO, Open Grey, MedNar, ProQuest Dissertations, and Theses Full Texts were searched from January 2002 through May 2022.
Forty articles were included, among which the primary interventions were quality improvement, training and education, evidence-based practice, device-assisted PI prophylaxis, nursing protocols, and clinical decision support systems. Twenty-three outcome indicators were summarised in 40 articles, which included 10 outcome indicators, seven process indicators, and six structural indicators. Furthermore, only five articles reported barriers in the process of implementing interventions.
The common interventions to promote the implementation of PI prevention measures in nursing homes are quality improvement, training, and education. Relatively limited research has been conducted on evidence-based practice, clinical decision support systems, device-assisted PI prophylaxis, and nursing protocols. In addition, there is a paucity of studies examining the impediments to implementing these measures and devising targeted solutions. Therefore, it is recommended that future studies include analysis and reporting of barriers and facilitators as part of the article to improve the sustainability of the intervention.
This article reminds nursing home managers that they should realise the importance of implementation strategies between the best evidence of PI prevention and clinical practice. Also, this review provides the types, contents, and outcome indicators of these strategies for managers of nursing homes to consider what types of interventions to implement in their organisations.
The protocol of this scoping review was published as an open-access article in June 2022 (Yang et al., 2022).
Atrial fibrillation (AF) is a major public health issue and there is rationale for the early diagnosis of AF before the first complication occurs. Previous AF screening research is limited by low yields of new cases and strokes prevented in the screened populations. For AF screening to be clinically and cost-effective, the efficiency of identification of newly diagnosed AF needs to be improved and the intervention offered may have to extend beyond oral anticoagulation for stroke prophylaxis. Previous prediction models for incident AF have been limited by their data sources and methodologies.
We will investigate the application of random forest and multivariable logistic regression to predict incident AF within a 6-month prediction horizon, that is, a time-window consistent with conducting investigation for AF. The Clinical Practice Research Datalink (CPRD)-GOLD dataset will be used for derivation, and the Clalit Health Services (CHS) dataset will be used for international external geographical validation. Analyses will include metrics of prediction performance and clinical utility. We will create Kaplan-Meier plots for individuals identified as higher and lower predicted risk of AF and derive the cumulative incidence rate for non-AF cardio-renal-metabolic diseases and death over the longer term to establish how predicted AF risk is associated with a range of new non-AF disease states.
Permission for CPRD-GOLD was obtained from CPRD (ref no: 19_076). The CPRD ethical approval committee approved the study. CHS Helsinki committee approval 21-0169 and data usage committee approval 901. The results will be submitted as a research paper for publication to a peer-reviewed journal and presented at peer-reviewed conferences.
A systematic review to guide the overall project was registered on PROSPERO (registration number CRD42021245093). The study was registered on ClinicalTrials.gov (NCT05837364).
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