35 research outputs found

    Medical psychiatry units: Improving their organization, focus, and value

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    Medical psychiatric units are hospital inpatient wards aimed at patients with physical and mental disorders, a combination that is common, especially in hospitals. For clinically admitted hospital patients, mental illness is associated with a longer length of hospital stay (LOS), higher medical costs and more readmissions. MPUs focus on the one hand on facilitating medical treatment, and on the other hand on restoration of functioning and quality of life. It is also often emphasized that they have the potential to reduce length of stay, costs and readmissions. Medical and psychiatric diagnoses of patients in these wards are wide and varying. Providing acute medical care creates a field of tension with more process-oriented treatment. There are approxim

    Organization and Outcomes of Integrated Inpatient Medical and Psychiatric Care Units:A Systematic Review

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    Abstract Objective: The goal of this review was to assess the relationships among aims, designs, and outcomes of integrated inpatient medical and psychiatric care units (IMPUs) and gather the evidence base on the effectiveness of these units. Methods: Using online searches of Embase, Medline, Web of Science, PsycINFO, Scopus, CINAHL, Cochrane, and Google Scholar, the authors identified and reviewed literature describing the aims and outcomes of specific IMPU designs. Results: The search yielded 55 studies, in which the authors identified 39 IMPUs that focused on patients with mood, psychotic, somatic symptom, substance use, organic, and personality disorders and a broad array of medical diagnoses. Most units were psychiatric-medical units and had medium medical and psychiatric acuity capabilities. The studies reviewed provided little information on the cost-effectiveness of various IMPU designs. Although some comparative studies indicated reductions in hospital length of stay (LOS), these studies were generally of low quality and rarely reported other intended outcomes. Conclusions: IMPUs may help shorten LOS. IMPUs should focus care on patients with complex conditions and high acuity to maximize health system value. Implementing compulsory admission facilities; qualified psychiatric, medical, and nursing staff involvement; and cross-disciplinary training may improve IMPUs’ capacity to treat high-acuity patients. Future research should relate IMPU designs to intended outcomes

    Health-economic outcomes in hospital patients with medical-psychiatric comorbidity: A systematic review and meta-analysis

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    Background: Hospital inpatients often experience medical and psychiatric problems simultaneously. Although this implies a certain relationship between healthcare utilization and costs, this relationship has never been systematically reviewed. Objective: The objective is to examine the extent to which medical-psychiatric comorbidities relate to health-economic outcomes in general and in different subgroups. If the relationship is significant, this would give additional reasons to facilitate the search for targeted and effective treatments for this complex population. Method: A systematic review in Embase, Medline, Psycinfo, Cochrane, Web of Science and Google Scholar was performed up to August 2016 and included cross-references from included studies. Only peer-reviewed empirical studies examining the impact of inpatient medical-psychiatric comorbidities on three health-economic outcomes (length of stay (LOS), medical costs and rehospitalizations) were included. Study design was not an exclusion criterion, there were no restrictions on publication dates and patients included had to be over 18 years. The examined populations consisted of inpatients with medical-psychiatric comorbidities and controls. The controls were inpatients without a comorbid medical or psychiatric disorder. Non-English studies were excluded. Results: From electronic literature databases, 3165 extracted articles were scrutinized on the basis of title and abstract. This resulted in a full-text review of 86 articles: 52 unique studies were i

    Hospital healthcare utilizers with medical and psychiatric claims in the Netherlands:a nationwide study

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    BACKGROUND: Psychiatric and medical multimorbidity is associated with low quality of life, poor functioning and excess mortality. Differences in healthcare utilization between those receiving co-occurring medical and psychiatric healthcare (HUMPCs) and those only receiving medical (HUMCs) or only psychiatric healthcare (HUPCs) may indicate differences in care accessibility, help-seeking behavior and the risk patterns of medical illness. We aimed to assess the occurrence of psychiatric diagnostic groups in HUMPCs compared to HUPCs and to compare their medical and psychiatric claims expenditures. METHODS: Using Dutch claims data covering psychiatric and medical hospital care in 2010–2011, healthcare utilization differences between HUMPCs and HUPCs were expressed as differences and ratios, accounting for differences in age and sex between groups. Median claims expenditures were then compared between HUMPCs and HUPCs. RESULTS: HUMPCs had 40% higher median medical cost of claims compared to HUMCs and a 10% increased number of psychiatric claims compared to HUPCs. HUMPCs were more often diagnosed with: organic disorders; behavioral syndromes associated with physiological disturbances and physical factors; mood [affective] disorders; neurotic, stress related and somatoform disorders; and disorders of adult personality and behavior. By contrast, disorders of psychological development, schizophrenia, schizotypal and delusional disorders, behavioral and emotional disorders with usual onset occurring in childhood, and mental and behavioral disorders due to psychoactive substance abuse were less often diagnosed in this group. CONCLUSIONS: Both medical and psychiatric disease become more costly where both are present. For HUMPCs the costs of both medical and psychiatric claims for almost all diagnostic groups were higher than for HUPCs and HUMCs

    Designing an herbarium digitisation workflow with built-in image quality management

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    Digitisation of natural history collections has evolved from creating databases for the recording of specimens’ catalogue and label data to include digital images of specimens. This has been driven by several important factors, such as a need to increase global accessibility to specimens and to preserve the original specimens by limiting their manual handling. The size of the collections pointed to the need of high throughput digitisation workflows. However, digital imaging of large numbers of fragile specimens is an expensive and time-consuming process that should be performed only once. To achieve this, the digital images produced need to be useful for the largest set of applications possible and have a potentially unlimited shelf life. The constraints on digitisation speed need to be balanced against the applicability and longevity of the images, which, in turn, depend directly on the quality of those images. As a result, the quality criteria that specimen images need to fulfil influence the design, implementation and execution of digitisation workflows. Different standards and guidelines for producing quality research images from specimens have been proposed; however, their actual adaptation to suit the needs of different types of specimens requires further analysis. This paper presents the digitisation workflow implemented by Meise Botanic Garden (MBG). This workflow is relevant because of its modular design, its strong focus on image quality assessment, its flexibility that allows combining in-house and outsourced digitisation, processing, preservation and publishing facilities and its capacity to evolve for integrating alternative components from different sources. The design and operation of the digitisation workflow is provided to showcase how it was derived, with particular attention to the built-in audit trail within the workflow, which ensures the scalable production of high-quality specimen images and how this audit trail ensures that new modules do not affect either the speed of imaging or the quality of the images produced

    Factors influencing the admission decision for Medical Psychiatry Units: A concept mapping approach

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    Objective Medical Psychiatry Units (MPUs), also known as Complexity Intervention Units (CIUs), provide care for complex patients suffering from both psychiatric and physical disorders. Because there is no consensus on the indications for admission to an MPU, daily practice and effectiveness research are hampered. This study therefore used a concept mapping approach to investigate which organizational and medical factors determine the decision to admit a patient to an MPU. Methods The first step of the concept mapping approach was to create a list of factors determining MPU admission from literature. Secondly, clinical experts sorted and ranked these factors. The sorted and ranked data were then analyzed, and a draft conceptual framework was created. A final conceptual MPU admission framework was then drawn during an expert consensus meeting and recommendations for implementation were suggested. Results Thirteen clinical experts defined 90 factors from literature, which were sorted and ranked by 40 experts from 21 Dutch hospitals. This concept mapping approach resulted in a five-cluster solution for an MPU admission framework based on: 1. Staff competencies and organizational pre-requisites; 2. Patient context; 3. Patient characteristics; 4. Medical needs and capabilities; and 5. Psychiatric symptoms and behavioral problems. Furthermore, three inclusion and two exclusion criteria were formulated to help the clinicians decide whether or not to admit patients to an MPU. These criteria can be implemented in daily practice. Conclusion Implementing the five criteria derived from this conceptual framework will help make the admission decision for complex patients with psychiatric and physical disorders to an MPU more correct, consistent, and transparent
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