Publications by authors named "P Whiting"
Objectives: This scoping review was undertaken to identify risk predictions models and preoperative predictors of surgical site infection (SSI) in adult cardiac surgery. A particular focus was on the identification of novel predictors that could underpin the future development of a risk prediction model to identify individuals at high-risk of SSI, and therefore guide a national SSI prevention strategy.
Methods: A scoping review to systematically identify and map out existing research evidence on preoperative predictors of SSI was conducted in two stages.
Background: Urinary tract infections are diagnosed by general practitioners based on symptoms, dipstick tests in some and laboratory urine culture. Patients may be given inappropriate antibiotics. Point-of-care tests can diagnose urinary tract infection in near-patient settings quicker than standard culture.
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- Effective communication of blood test results is crucial for patient care and safety, but there is a need for safer and more efficient methods to relay this information in primary care.
- A systematic review covering 71 studies showed that patients desire swift and comprehensive information about their test results, with electronic communication methods favored by some, but mixed opinions exist among clinicians regarding direct access to results.
- The findings highlight the importance of understanding patient and clinician preferences, as well as the challenges, as the NHS moves towards more patient-centered online access for test results.
Background: Acute respiratory infections are a common reason for consultation with primary and emergency healthcare services. Identifying individuals with a bacterial infection is crucial to ensure appropriate treatment. However, it is also important to avoid overprescription of antibiotics, to prevent unnecessary side effects and antimicrobial resistance.
View Article and Find Full Text PDFBackground: Quality assessment of diagnostic accuracy studies (QUADAS), and more recently QUADAS-2, were developed to aid the evaluation of methodological quality within primary diagnostic accuracy studies. However, its current form, QUADAS-2 does not address the unique considerations raised by artificial intelligence (AI)-centered diagnostic systems. The rapid progression of the AI diagnostics field mandates suitable quality assessment tools to determine the risk of bias and applicability, and subsequently evaluate translational potential for clinical practice.
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