The goal of this clinical study is to evaluate whether a digital decision support tool integrated into the electronic medical record improves antibiotic prescribing in hospitalized patients with a reported allergy to penicillin. Around 5 out of 100 hospitalized patients at our center have a penicillin allergy label in their medical record. However, this allergy is confirmed in less than 10 out of 100 cases. Despite this, more than 90 out of 100 of these patients receive alternative antibiotics that may be less effective or less aligned with clinical guidelines. This study includes adults older than 16 years treated at Hospital Sant Joan de Déu de Manresa (Althaia) for infections that require systemic antibiotic treatment. Participants are those with a recorded penicillin allergy in their medical record or who report an allergy during their current hospital admission. The main questions this study aims to answer are: Does the use of a digital decision support tool increase the use of beta-lactam antibiotics (such as penicillins and cephalosporins) in patients with a reported penicillin allergy? Does the tool reduce the use of alternative antibiotic treatments that are less aligned with hospital guidelines? Participants will receive standard clinical care. In addition, healthcare professionals will use a digital tool integrated into the electronic medical record. This tool supports clinical decision-making by assessing individual allergy risk and aligning antibiotic selection with hospital treatment guidelines. The study will last approximately 15 months and will be conducted at a single hospital center.
Study design and setting This is a prospective, open-label, single-center study conducted at Hospital Sant Joan de Déu de Manresa (Althaia University Healthcare Network). The study evaluates the implementation of a digital clinical decision support tool integrated into the electronic medical record (EMR) to optimize antibiotic prescribing in hospitalized patients with a reported penicillin allergy. The study includes two phases: Pre-implementation phase A retrospective cohort is used to describe antibiotic prescribing patterns in patients meeting eligibility criteria before implementation of the digital tool. Patients are identified through a digital EMR filter implemented in March 2024 that detects hospitalized patients or emergency department visits longer than 16 hours with a recorded penicillin allergy label. Post-implementation phase A prospective cohort includes consecutive eligible patients after implementation of the digital decision support tool. Patients are included after providing informed consent. Intervention and implementation strategy The intervention consists of a digital decision support tool integrated into the EMR. The tool is structured as a decision tree adapted from the hospital's 2025 adult empirical antibiotic treatment guideline. The tool systematically evaluates the individual risk of penicillin allergy and provides recommendations to support antibiotic selection according to hospital guidelines. Implementation includes: * Training sessions for emergency department physicians, who are the main prescribers of empirical antibiotics in this population. * Hospital-wide dissemination campaign through EMR communication channels to promote awareness and use of the tool. Study population and data collection The study includes patients older than 16 years treated at the hospital for infections requiring systemic antibiotic therapy who: * Have a documented penicillin allergy in the EMR, or * Report a penicillin allergy during the current admission. Data collected include: * Demographic variables (age, sex). * Clinical setting (emergency, medical, surgical, obstetric/gynecological, day hospital, dialysis units). * Infection focus (respiratory, urinary, abdominal, skin/soft tissue, bloodstream infection, osteoarticular, central nervous system). * Characteristics of reported penicillin allergy, including timing and type of reaction (immediate, delayed, immunological or non-immunological reactions). * Allergy risk stratification using the PEN-FAST score. * History of allergy to non-beta-lactam antibiotics. Antibiotic treatment variables. Antibiotic prescribing is recorded for empirical and modified treatments, including: * Beta-lactams (penicillins, cephalosporins, carbapenems, monobactams). * Alternative antibiotics (fluoroquinolones, glycopeptides, lipopeptides, oxazolidinones, aminoglycosides, lincosamides, sulfonamides, macrolides). Data include: * Start and end dates of empirical and modified antibiotic therapy. * Treatment modifications and reasons (guideline adherence, targeted therapy, adverse reactions). * Final antibiotic regimen after modification. Outcomes and follow-up Patients are followed until hospital discharge or day +30 after inclusion. Outcomes include: * Antibiotic prescribing patterns, including beta-lactam use. * Guideline-concordant empirical therapy. * Adverse drug reactions to beta-lactams. * Changes in allergy label status after clinical evaluation. * Hospital length of stay. * In-hospital mortality and 30-day status (discharge, hospitalization, death). Data management and statistical analysis Data are collected in a secure REDCap database hosted by the institution. Statistical analysis is performed using SPSS version 26. Categorical variables are expressed as frequencies and percentages. Continuous variables are expressed as mean ± standard deviation or median with interquartile range, depending on distribution. Normality is assessed using the Kolmogorov-Smirnov test. Group comparisons are performed using chi-square or Fisher's exact test for categorical variables, and t-test or rank-sum test for continuous variables. Confidence intervals at 95% are reported for primary and secondary outcomes. Study timeline The study includes: * Pre-implementation retrospective cohort * Development and implementation of the digital tool * Training and dissemination phase * Prospective post-implementation recruitment * Final data analysis and dissemination of results Total study duration is 15 months. Ethics and data protection The study has been approved by the institutional ethics committee. It is conducted in accordance with the Declaration of Helsinki (2024 revision), Good Clinical Practice guidelines, and applicable Spanish and European data protection regulations (EU Regulation 2016/679 and Organic Law 3/2018). All patient data are pseudonymized and stored securely. Retrospective data use is performed under applicable legal provisions for research use of pseudonymized health data without informed consent when authorized by the ethics committee. Quality assurance and implementation procedures The study includes EMR-based data validation and structured data extraction. The digital tool implementation is supported by clinician training and institutional communication strategies to ensure correct use and adherence. Expected impact The study aims to improve antibiotic prescribing in patients with reported penicillin allergy by increasing appropriate use of beta-lactam antibiotics, improving adherence to institutional guidelines, enhancing allergy documentation, and potentially reducing hospital length of stay.
Study Type
OBSERVATIONAL
Enrollment
182
Hospital Sant Joan de Déu - Althaia
Manresa, Barcelona, Spain
Proportion of patients receiving empirical beta-lactam antibiotics
The primary outcome is the proportion of hospitalized patients with reported penicillin allergy who receive empirical treatment with beta-lactam antibiotics (penicillins or cephalosporins). The objective is to assess whether implementation of a digital clinical decision support tool increases beta-lactam use by 30% compared with the pre-implementation period.
Time frame: During hospital admission (up to discharge or day +30 after inclusion)
Adherence to hospital antibiotic treatment guidelines
Comparison of the proportion of patients receiving empirical antibiotic therapy consistent with the hospital's antimicrobial treatment guidelines before and after implementation of the digital decision support tool.
Time frame: During hospital admission (up to discharge or day +30)
Time to antibiotic treatment optimization according to hospital guidelines
Time elapsed from initiation of empirical antibiotic therapy to adjustment according to guideline-recommended treatment.
Time frame: During hospital admission (up to discharge or day +30)
Proportion of patients requiring hospital admission longer than 24 hours
Percentage of patients requiring hospitalization exceeding 24 hours during the index infection episode.
Time frame: During hospital admission
Incidence of antibiotic-related adverse reactions
Incidence and classification of adverse reactions associated with antibiotic therapy, including immediate, delayed, and non-immunologically mediated reactions.
Time frame: During treatment and up to day +30 after inclusion
In-hospital and 30-day mortality
All-cause mortality during hospital admission and within 30 days after inclusion.
Time frame: Up to discharge and day +30 after inclusion
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