38 research outputs found
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Knowledge management infrastructure to support quality improvement: A qualitative study of maternity services in four European hospitals
The influence of multilevel healthcare system interactions on clinical quality improvement (QI) is still largely unexplored. Through the lens of knowledge management (KM) theory, this study explores how hospital managers can enhance the conditions for clinical QI given the specific multilevel and professional interactions in various healthcare systems.
The research used an in-depth multilevel analysis in maternity departments in four purposively sampled European hospitals (Portugal, England, Norway and Sweden). The study combines analysis of macro-level policy documents and regulations with semi-structured interviews (96) and non-participant observations (193 hours) of hospital and clinical managers and clinical staff in maternity departments.
There are four main conclusions: First, the unique multilevel configuration of national healthcare policy, hospital management and clinical professionals influence the development of clinical QI efforts. Second, these different configurations provide various and often insufficient support and guidance which affect professionals’ action strategies in QI efforts. Third, hospital managers’ opportunities and capabilities for developing a consistent KM infrastructure with reinforcing enabling conditions which merge national policies and guidelines with clinical reality is crucial for clinical QI. Fourth, understanding these interrelationships provides an opportunity for improvement of the KM infrastructure for hospital managers through tailored interventions
A longitudinal, multi-level comparative study of quality and safety in European hospitals: the QUASER study protocol.
BACKGROUND: although there is a wealth of information available about quality improvement tools and techniques in healthcare there is little understanding about overcoming the challenges of day-to-day implementation in complex organisations like hospitals. The 'Quality and Safety in Europe by Research' (QUASER) study will investigate how hospitals implement, spread and sustain quality improvement, including the difficulties they face and how they overcome them. The overall aim of the study is to explore relationships between the organisational and cultural characteristics of hospitals and how these impact on the quality of health care; the findings will be designed to help policy makers, payers and hospital managers understand the factors and processes that enable hospitals in Europe to achieve-and sustain-high quality services for their patients. METHODS/DESIGN: in-depth multi-level (macro, meso and micro-system) analysis of healthcare quality policies and practices in 5 European countries, including longitudinal case studies in a purposive sample of 10 hospitals. The project design has three major features: • a working definition of quality comprising three components: clinical effectiveness, patient safety and patient experience • a conceptualisation of quality as a human, social, technical and organisational accomplishment • an emphasis on translational research that is evidence-based and seeks to provide strategic and practical guidance for hospital practitioners and health care policy makers in the European Union. Throughout the study we will adopt a mixed methods approach, including qualitative (in-depth, narrative-based, ethnographic case studies using interviews, and direct non-participant observation of organisational processes) and quantitative research (secondary analysis of safety and quality data, for example: adverse incident reporting; patient complaints and claims). DISCUSSION: the protocol is based on the premise that future research, policy and practice need to address the sociology of improvement in equal measure to the science and technique of improvement, or at least expand the discipline of improvement to include these critical organisational and cultural processes. We define the 'organisational and cultural characteristics associated with better quality of care' in a broad sense that encompasses all the features of a hospital that might be hypothesised to impact upon clinical effectiveness, patient safety and/or patient experience
Exposure to animals and risk of oligoarticular juvenile idiopathic arthritis: a multicenter case-control study
<p>Abstract</p> <p>Background</p> <p>An inverse association between early contact with microbial compounds and respiratory allergies is well established. The protective effect of infant contact with animals was also shown for inflammatory bowel disease (IBD) and systemic lupus erythematosus (SLE). We aimed to test the association between animal contact in infancy and oligoarticular juvenile idiopathic arthritis (OA JIA).</p> <p>Methods</p> <p>Parents of children with OA JIA registered at the Hospital for Pediatric Rheumatology in Garmisch-Partenkirchen were asked to complete a questionnaire. Children who underwent strabismus surgery at six referral centers for ophthalmology served as controls. Children age 6 to 18 years born in Germany without malformations were included (238 cases; response 89% and 832 controls; response 86%). Data were analyzed using logistic regression models after adjusting for potential confounders.</p> <p>Results</p> <p>Neither place of living (urban vs. rural area), living on a farm, nor regular farm animal (adjusted odds ratio 0.79; 95% confidence interval 0.42-1.47) or pet contact (0.79; 0.55-1.14) during infancy were clearly related to case status. Allergic rhinitis was inversely related to OA JIA (0.57; 0.34-0.95).</p> <p>Neither place of living (urban vs. rural area), living on a farm, nor regular farm animal (adjusted odds ratio 0.79; 95% confidence interval 0.42-1.47) or pet contact (0.79; 0.55-1.14) during infancy were related to case status. Allergic rhinitis was inversely related to OA JIA (0.57; 0.34-0.95).</p> <p>Conclusions</p> <p>Contact with farm environments in infancy might not be associated with OA JIA. This finding is consistent with previous findings for diabetes mellitus type 1 but contradicts results for IBD and SLE.</p
Health-related quality-of-life measures for long-term follow-up in children after major trauma
Objective: Our objective was to review measures of health-related quality of life (HRQL) for long-term follow
up in children after major trauma and to determine the measures that are suitable for a large age range, reliable
and valid, and cover a substantial amount of the domains of functioning using the International Classification of Functioning, Disability, and Health (ICF) of the World Health Organization (WHO).
Methods: The Medline and EMBASE databases were searched in all years up to October 2007 for generic HRQL
measures suitable for children aged 5-18 years old and validated in English or Dutch. Measures were reviewed with
respect to the age range for which the measure was suitable and reliability, validity, and content related to the ICF.
Results: The search resulted in 1,235 hits and 21 related articles. Seventy-nine papers met the inclusion criteria, describing in total 14 measures: Child Health and Illness Profile Adolescent and Child Edition (CHIP-AE/CE), Child Health Questionnaire Child and Parent Forms (CHQCF87/PF50/PF28), DISABKIDS, Functional Status II (FS II)(R), Health Utilities Index Mark 2 (HUI 2), KIDSCREEN 52/27, KINDL, Pediatric Quality of Life
Inventory (PedsQL), TNO Institute of Prevention and Health and the Leiden University Hospital (TNO-AZL),
TNO-AZL Children’s Quality Of Life (TACQOL), and Youth Quality of Life Instrument-Research Version
(YQOL-R). Measures that were suitable for a large age range were CHQ-PF50/PF28, DISABKIDS, FS II(R), HUI
2, KIDSCREEN, PedsQL, and TACQOL. All measures had moderate to good psychometric properties, except for
CHQ-PF50/PF28, KINDL, and TACQOL, which had either low internal consistency or bad test-retest reliability.
The measures that covered more than six chapters of the ICF domains were CHIP-AE/CE, CHQ-CF87/PF50, DISABKIDS,
KIDSCREEN-52, PedsQL, and TACQOL.
Conclusions: DISABKIDS, KIDSCREEN 52, and Peds-QL are suitable for long-term follow-up measurement of
HRQL in children after major trauma. They cover a large age range, have good psychometric properties, and cover
the ICF substantially
Seeking insights into the EPidemiology, treatment and Outcome of Childhood Arthritis through a multinational collaborative effort: Introduction of the EPOCA study
Improvement education by improving education: a model for integration of teaching, learning and research while practice is improved
A proposal: publication guidelines for healthcare improvement education reports
The value of education reports lies in improving patient care outcome
How Service Users Perceive the Concept of Participation, Specifically in Interprofessional Practice
In-depth comparison of two quality improvement collaboratives from different healthcare areas based on registry data-possible factors contributing to sustained improvement in outcomes beyond the project time
BackgroundQuality improvement collaboratives (QICs) are widely used to improve healthcare, but there are few studies of long-term sustained improved outcomes, and inconsistent evidence about what factors contribute to success. The aim of the study was to open the black box of QICs and compare characteristics and activities in detail of two differing QICs in relation to their changed outcomes from baseline and the following 3years.MethodsFinal reports of two QICs-one on heart failure care with five teams, and one on osteoarthritis care with seven teams, including detailed descriptions of improvement projects from each QIC's team, were analysed and coded by 18 QIC characteristics and four team characteristics. Goal variables from each team routinely collected within the Swedish Heart Failure Registry (SwedeHF) and the Better Management of Patients with OsteoArthritis Registry (BOA) at year 2013 (baseline), 2014, 2015 and 2016 were analysed with univariate statistics.ResultsThe two QICs differed greatly in design. The SwedeHF-QIC involved eight experts and ran for 12months, whereas the BOA-QIC engaged three experts and ran for 6months. There were about twice as many activities in the SwedeHF-QIC as in the BOA-QIC and they ranged from standardisation of team coordination to better information and structured follow-ups. The outcome results were heterogeneous within teams and across teams and QICs. Both QICs were highly appreciated by the participants and contributed to their learning, e.g. of improvement methods; however, several teams had already reached goal values when the QICs were launched in 2013.ConclusionsEven though many QI activities were carried out, it was difficult to see sustained improvements on outcomes. Outcomes as specific measurable aspects of care in need of improvement should be chosen carefully. Activities focusing on adherence to standard care programmes and on increased follow-up of patients seemed to lead to more long-lasting improvements. Although earlier studies showed that data follow-up and measurement skills as well as well-functioning data warehouses contribute to sustained improvements, the present registries' functionality and QICs at this time did not support those aspects sufficiently. Further studies on QICs and their impact on improvement beyond the project time should investigate the effect of those elements in particular
At least three hepatitis C virus strains implicated in Swedish and Danish patients with intravenous immunoglobulin-associated hepatitis C
BACKGROUND: Three reported Swedish cases of hepatitis C in patients receiving an intravenous immunoglobulin (Gammagard, Baxter Healthcare, Deerfield, IL) were among the first to bring to light a worldwide outbreak of hepatitis C associated with non-solvent/detergent (SD)-treated Gammagard. In February 1994, all implicated batches of Gammagard were recalled and exposed patients traced. STUDY DESIGN AND METHODS: Sera from all identified and hepatitis C-viremic Swedish and Danish patients (n = 14) exposed to the implicated batches underwent hepatitis C virus genotyping and sequencing of the core region and hypervariable region 1 of E2. Genomic amplification was also done on 15 non-SD-treated batches of Gammagard. RESULTS: Twelve patients were infected with subtype 1a and surprisingly, two with subtype 2b. Analysis of the core region showed identical sequences in four patients and the only consistently positive batch. Five patients shared another sequence, whereas three other subtype 1a patients each manifested unique sequences. The two subtype 2b isolates were identical. Genomic fingerprinting of the hypervariable region confirmed identity within each group with great stringency. Amplification with isolate-specific primers showed mixed infection in one patient whose exposure was confined to a single batch. CONCLUSION: The few batches implicated presumably were contaminated with several strains
