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Assessment tool for hospital admissions related to medications: development and validation in older patients
Thomas G H Kempen1,2, Mariann Hedström3, Hanna Olsson2
1Hospital Pharmacy Department, Uppsala University Hospital, Uppsala, Sweden.
Abstract:
Background Medication-related hospital admissions (MRAs) are frequently used to measure outcomes in studies involving medication reviews. The process of identifying MRAs is subjective and time-consuming, and practical, validated alternatives are required. Objective The aim of this study was to develop and validate a practical tool to identify MRAs. Setting Uppsala University Hospital, Sweden. Method We reviewed existing literature on methods to identify MRAs. The tool AT-HARM10 was developed using an iterative process including content validity and feasibility testing. The tool's inter-rater reliability (IRR) and criterion-related validity (CRV) were assessed: four pairs of either final-year undergraduate or postgraduate pharmacy students applied the tool to one of two batches of 50 older patients' hospital admissions. Assessment of the same 100 admissions by two experienced clinicians acted as gold standard. Main outcome measure Cohen's and Fleiss' kappa for IRR, and sensitivity, specificity, and positive and negative predictive value for CRV. Results AT-HARM10 consists of ten closed questions to distinguish between admissions that are unlikely to be and those that are possibly medication-related. The IRR was moderate to substantial (Cohen's kappa values were 0.45-0.75 and Fleiss' kappa values were 0.46 and 0.58). The sensitivity and specificity values were 70/86% and 74/70%, positive and negative predictive values were 73/74% and 71/83% respectively. Both AT-HARM10 and the gold standard identified approximately 50% of the admissions as MRAs. Conclusion AT-HARM10 has been developed as a practical tool to identify MRAs and the tool is valid for use in older patients by final-year undergraduate and postgraduate pharmacy students.
Insights
A new tool, AT-HARM10, was developed to identify medication-related hospital admissions (MRAs). This practical tool demonstrates moderate to substantial reliability and validity for use by pharmacy students in older patients.
Area of Science:
- Pharmacovigilance
- Medication Safety
- Health Services Research
Background:
- Medication-related hospital admissions (MRAs) are crucial outcome measures in medication review studies.
- Current MRA identification methods are subjective and time-intensive, necessitating practical, validated alternatives.
- Developing efficient tools is essential for improving medication safety research.
Purpose of the Study:
- To develop and validate a practical tool, AT-HARM10, for identifying medication-related hospital admissions (MRAs).
- To assess the inter-rater reliability (IRR) and criterion-related validity (CRV) of the AT-HARM10 tool.
- To establish a reliable method for MRA identification in clinical practice and research.
Main Methods:
- Literature review to inform tool development.
- Iterative development of the AT-HARM10 tool, including content validity and feasibility testing.
- Assessment of IRR and CRV using final-year undergraduate/postgraduate pharmacy students and experienced clinicians as a gold standard on 100 patient admissions.
Main Results:
- The AT-HARM10 tool, comprising ten closed questions, effectively differentiates between possibly and unlikely medication-related admissions.
- Moderate to substantial IRR was achieved (Cohen's kappa: 0.45-0.75; Fleiss' kappa: 0.46-0.58).
- The tool demonstrated acceptable validity (sensitivity: 70-86%; specificity: 70-74%; PPV: 73-74%; NPV: 71-83%), with similar MRA identification rates to the gold standard (~50%).
Conclusions:
- AT-HARM10 is a practical and validated tool for identifying medication-related hospital admissions (MRAs).
- The tool is suitable for use by final-year undergraduate and postgraduate pharmacy students in older patient populations.
- AT-HARM10 offers a reliable alternative to subjective and time-consuming MRA identification methods.
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