23 research outputs found

    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 IMPUsā€™ capacity to treat high-acuity patients. Future research should relate IMPU designs to intended outcomes

    Modeling Patient Journeys for Demand Segments in Chronic Care, With an Illustration to Type 2 Diabetes

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    Chronic care is an important area for cost-effective and efficient health service delivery. Matching demand and services for chronic care is not easy as patients may have different needs in different stages of the disease. More insight is needed into the complete patient journey to do justice to the services required in each stage of the disease, to the different experiences of patients in each part of the journey, and to outcomes in each stage. With patient journey we refer to the ā€œjourneyā€ of the patient along the services received within a demand segment of chronic care. We developed a generic framework for describing patient journeys and provider networks, based on an extension of the well-known model of Donabedian, to relate demand, services, resources, behavior, and outcomes. We also developed a generic operational model for the detailed modeling of services and resources, allowing for insight into costs. The generic operational model can be tailored to the specific characteristics of patient groups. We applied this modeling approach to type 2 diabetes (T2D) patients. Diabetes care is a form of chronic care for patients suffering diabetes mellitus. We studied the performance of T2D networks, using a descriptive model template. To identify and describe demand we made use of the following demand segments within the diabetes type 2 population: patients targeted for prevention; patients with stage 1 diabetes treated by their GP with lifestyle advice; patients with diabetes stage 2 treated by their GP with lifestyle advice and oral medication; patients with stage 3 diabetes treated by their GP with lifestyle advice, oral medication, and insulin injections; patients with stage 4 diabetes with complications (treated by internal medicine specialists). We used a Markov model to describe the transitions between the different health states. The model enables the patient journey through the health care system for cohorts of newly diagnosed T2D patients to be described, and to make a projection of the resource requirements of the different demand segments over the years. We illustrate our approach with a case study on a T2D care network in The Netherlands and reflect on the role of demand segmentation to analyse the case study results, with the objective of improving the T2D service delivery

    Outcomes in patients with chronic uveitis: which factors matter to patients? A qualitative study

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    PURPOSE: Outcome measurements currently used in chronic uveitis care fail to cover the full patient perspective. The aim of this study is to develop a conceptual model of the factors that adult patients with chronic uveitis consider to be important when evaluating the impact of their disease and treatment. METHODS: A qualitative study design was used. Twenty chronic uveitis patients were recruited to participate in two focus groups. Data were transcribed verbatim and analysed using thematic analysis in ATLAS.ti. RESULTS: Coding of the transcripts resulted in a total of 19 codes divided over five themes: 1) disease symptoms and treatment; 2) diagnosis and treatment process; 3) impact on daily functioning; 4) emotional impact; and 5) treatment success factors. CONCLUSION: The conceptual model resulting from this study can contribute to the development of future uveitis specific measures in adults

    'We are planning to leave, all of us'-a realist study of mechanisms explaining healthcare employee turnover in rural Ethiopia

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    Background: We study healthcare employees' turnover intentions in the Afar National Regional State of Ethiopia. This rural region is experiencing the globally felt crisis in human resources, which is inhibiting its ability to meet health-related sustainable development goals. Methods: Realist case study which combines literature study and qualitative analysis of interview and focus group discussion data, following a realist case study protocol. Results: A large majority of employees has turnover intentions. Building on Herzberg's two-factor theory, person-environment fit theory, as well as recent sub-Saharan evidence, analysis of the collected data yields four turnover mechanisms: (1) lack of social and personal opportunities in the region, (2) dissonance between management logic and professional logic, (3) standards of service operations are hard to accept, and (4) lack of financial improvement opportunities. Conclusions: While the first and fourth mechanisms may be out of reach for local (human resource) management interventions, the second and third mechanisms proposed to explain health workforce turnover appear to be amenable to local (human resource) management interventions to strengthen healthcare. These mechanisms are likely to play a role in other remote sub-Saharan regions as well
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