Journal of evaluation in clinical practice
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Falls can have severe consequences particularly for older patients with cancer undergoing ambulatory care. The aim of the study is to identify the predictors of falls in older patients receiving cancer ambulatory care and evaluate the accuracy of the final multivariable model in detecting older patients with falls. ⋯ The results indicate that a reduction in falls is possible by introducing strategies to improve care for older patients in the advanced stage of cancer, eliminating the causes of fear of falling, examining and improving vision and hearing, and identifying and addressing the underlying causes of visits to the doctor.
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The Patient Assessment of Chronic Illness Care (PACIC) instrument assesses patient care in alignment with the chronic care model. The aim of the study was to comprehensively validate the PACIC using the Rasch model. A special focus was placed on the investigation of local dependence (LD), differential item functioning (DIF) and targeting. ⋯ The PACIC is a well-targeted, reliable unidimensional instrument to assess patient care in alignment with the chronic care model in patients with diabetes. It is free of substantial DIF. The PACIC-20 sum score can hence be used in clinical practice for individual diagnostic. For evaluation purposes like assessment of change or group evaluations, the usage of the interval-scale level person parameters is recommended as it permits using parametric statistical analyses and provides a more accurate picture about the actual amount of change.
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Randomized Controlled Trial
Lessons learned from two clinical trials on nutritional supplements to reduce aggressive behaviour.
Setting up and conducting a randomised controlled trial (RCT) has many challenges-particularly trials that include vulnerable individuals with behavioural problems or who reside in facilities that focus on care as opposed to research. These populations are underrepresented in RCTs. ⋯ By sharing these practical experiences, we hope to inform other researchers how to optimally design their trials, while avoiding and minimising the difficulties that we encountered, and to facilitate the implementation of a trial. Both trials were registered in the Clinical Trials Register (RCT A: NCT02498106; RCT B: NCT03212092).
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As quality measurement becomes increasingly reliant on the availability of structured electronic medical record (EMR) data, clinicians are asked to perform documentation using tools that facilitate data capture. These tools may not be available, feasible, or acceptable in all clinical scenarios. Alternative methods of assessment, including natural language processing (NLP) of clinical notes, may improve the completeness of quality measurement in real-world practice. Our objective was to measure the quality of care for a set of evidence-based practices using structured EMR data alone, and then supplement those measures with additional data derived from NLP. ⋯ Healthcare quality data can be significantly improved by supplementing structured EMR data with NLP-derived data. By using NLP, health systems may be able to fill the gaps in documentation when structured tools are not yet available or there are barriers to using them in clinical practice.
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Intravenous (IV) fluids are frequently involved in iatrogenic complications in hospitalized patients. Knowledge of IV fluids seems inadequate and is not covered sufficiently in standard medical education. ⋯ A clear need for more structured information on IV fluids was identified. Both physicians and nurses struggle with fluid therapy. Continuing education on IV fluid management, emphasizing multidisciplinary collaboration, and monitoring evidence-based practice is essential to support the clinical decision process in daily practice.