3 research outputs found

    HIS-based Kaplan-Meier plots - a single source approach for documenting and reusing routine survival information

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    <p>Abstract</p> <p>Background</p> <p>Survival or outcome information is important for clinical routine as well as for clinical research and should be collected completely, timely and precisely. This information is relevant for multiple usages including quality control, clinical trials, observational studies and epidemiological registries. However, the local hospital information system (HIS) does not support this documentation and therefore this data has to generated by paper based or spreadsheet methods which can result in redundantly documented data. Therefore we investigated, whether integrating the follow-up documentation of different departments in the HIS and reusing it for survival analysis can enable the physician to obtain survival curves in a timely manner and to avoid redundant documentation.</p> <p>Methods</p> <p>We analysed the current follow-up process of oncological patients in two departments (urology, haematology) with respect to different documentation forms. We developed a concept for comprehensive survival documentation based on a generic data model and implemented a follow-up form within the HIS of the University Hospital Muenster which is suitable for a secondary use of these data. We designed a query to extract the relevant data from the HIS and implemented Kaplan-Meier plots based on these data. To re-use this data sufficient data quality is needed. We measured completeness of forms with respect to all tumour cases in the clinic and completeness of documented items per form as incomplete information can bias results of the survival analysis.</p> <p>Results</p> <p>Based on the form analysis we discovered differences and concordances between both departments. We identified 52 attributes from which 13 were common (e.g. procedures and diagnosis dates) and were used for the generic data model. The electronic follow-up form was integrated in the clinical workflow. Survival data was also retrospectively entered in order to perform survival and quality analyses on a comprehensive data set. Physicians are now able to generate timely Kaplan-Meier plots on current data. We analysed 1029 follow-up forms of 965 patients with survival information between 1992 and 2010. Completeness of forms was 60.2%, completeness of items ranges between 94.3% and 98.5%. Median overall survival time was 16.4 years; median event-free survival time was 7.7 years.</p> <p>Conclusion</p> <p>It is feasible to integrate survival information into routine HIS documentation such that Kaplan-Meier plots can be generated directly and in a timely manner.</p

    Mapping Turnaround Times (TAT) to a Generic Timeline: A Systematic Review of TAT Definitions in Clinical Domains

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    <p>Abstract</p> <p>Background</p> <p>Assessing turnaround times can help to analyse workflows in hospital information systems. This paper presents a systematic review of literature concerning different turnaround time definitions. Our objectives were to collect relevant literature with respect to this kind of process times in hospitals and their respective domains. We then analysed the existing definitions and summarised them in an appropriate format.</p> <p>Methods</p> <p>Our search strategy was based on Pubmed queries and manual reviews of the bibliographies of retrieved articles. Studies were included if precise definitions of turnaround times were available. A generic timeline was designed through a consensus process to provide an overview of these definitions.</p> <p>Results</p> <p>More than 1000 articles were analysed and resulted in 122 papers. Of those, 162 turnaround time definitions in different clinical domains were identified. Starting and end points vary between these domains. To illustrate those turnaround time definitions, a generic timeline was constructed using preferred terms derived from the identified definitions. The consensus process resulted in the following 15 terms: admission, order, biopsy/examination, receipt of specimen in laboratory, procedure completion, interpretation, dictation, transcription, verification, report available, delivery, physician views report, treatment, discharge and discharge letter sent. Based on this analysis, several standard terms for turnaround time definitions are proposed.</p> <p>Conclusion</p> <p>Using turnaround times to benchmark clinical workflows is still difficult, because even within the same clinical domain many different definitions exist. Mapping of turnaround time definitions to a generic timeline is feasible.</p

    Strategies for the implementation of clinical practice guidelines in the intensive care : a systematic review

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    Implementation strategies for the use of clinical practice guidelines are an integral component in bridging the gap between the best research evidence and clinical practice. However, despite some remarkable investments in health research regarding clinical practice guidelines implementation strategies, it is not yet known which of these are the most effective for intensive care units. The purpose of this research study was to systematically identify and /or search, appraise, extract and synthesize the best available evidence for clinical practice guidelines implementation strategies in intensive care units, in order to develop a draft guideline for clinical practice guidelines implementation strategies in the intensive care units. A systematic review design was used to systematically identify and /or search, appraise, extract and synthesize the best available evidence from the eligible included Level 2 studies (randomized controlled trials and quasi-experimental studies). Level 2 studies were applicable because they present robust evidence in the research results regarding effectiveness of clinical practice guideline implementation strategies. Furthermore, although other systematic reviews conducted in this area before, they included studies of In addition, no systematic review was identified that reviewed Level 2 studies and developed a guideline for clinical practice guideline implementation strategies in the intensive care units. Hence, including only Level 2 studies was distinctive to this research study. Databases searched included: CINAHL with full text, Google Scholar, Academic search complete, Cochrane Register for Randomized Controlled Trials Issue 8 of 12, August 2013, and MEDLINE via PUBMED. Hand search in bound journals was also done. The search strategy identified 315 potentially relevant studies. After the process of critical appraisal, thirteen Level 2 studies were identified as relevant for the review. Of the 13 relevant studies, 10 were randomized controlled trials and three were quasi experimental studies. After the critical appraisal ten RCTs were included in the systematic review. Three studies (quasi-experimental) were excluded on the basis of methodological quality after the critical appraisal and agreement by the two independent reviewers. The Joanna Briggs Institute Critical Appraisal MASTARI Instrument for Randomized Controlled trials/ Experimental studies, and The Joanna Briggs Institute data extraction tools were used to critically appraise, and extract data from the ten included randomized controlled trials. The two reviewers who performed the critical appraisal were qualified critical care professional nurses and experts in research methodology. These reviewers conducted the critical appraisal independently to ensure the objectivity of the process. Appropriate ethical considerations were maintained throughout the process of the research study. The results indicated that 80 percent of the included studies were conducted in adult intensive care units while 20 percent were conducted in the neonatal intensive care units. Furthermore, 60 percent of the studies were conducted in the United States of America, 10 percent in France, a further 10 percent in Taiwan, another 10 percent in England and yet another 10 percfent was conducted in Australia and Newzealand. The included studies utilized more than one (multifaceted) implementation strategies to implement clinical practice guidelines in the intensive care units. The first most utilized were: printed educational materials; Information/ educational sessions/meetings; audit and feedback and champion/local opinion leaders; seconded by educational outreach visits; and computer or internet usage. Third most used were active/passive reminders; systems support; academic detailing/ one-on-one sessions teleconferences/videoconferences and workshops/in services. Fourth most used were ollaboration/interdisciplinary teams; slide shows, teleconferences/videoconferences and discussions. Fifth most used were practical training; monitoring visits and grand rounds. However all the strategies were of equal importance. Conclusively, the included studies utilized multifaceted implementation strategies. However, no study indicated the use of a guideline for the implementation strategies in the process of clinical practice guidelines implementation. The systematic review developed a draft guideline for clinical practice guideline implementation strategies in the intensive care units. The guideline will enhance effective implementation of clinical practice guidelines in such a complex environment
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