{"doi":"10.3233/shti230986","title":"Accurate Dosing Weight: When the 10% Really Matters","abstract":"<jats:p>Introduction: Children are at increased risk of medication-associated adverse events, often due to weight-based dosing errors. We aimed to reduce the proportion of medications that were administered where the dosing weight was ≥ 10% different from the recorded weight. Methods: We adopted in-situ usability testing to iteratively improve design of clinical decision support that would enable accurate dosing weight documentation by prompting clinicians to update weight if recorded weight was &gt; 10% different and it had been at least 7 days since the last dosing weight update. Results: The proportion of medication administrations with difference &gt;10% between their recorded weight and dosing weight decreased from 13.1% (56,256/ 429,006) in the baseline period to 9.5% (35,560 / 372,443) in the intervention period (P &lt; 0.001). Discussion and Conclusion: User-centered design of an interruptive alert improved the accuracy of dosing weights during medication administrations without substantial alert burden. In-situ usability testing is an effective approach to rapidly obtain feedback from frontline users and iterate on the design to effect desired behavior changes</jats:p>","journal":"Studies in Health Technology and Informatics","year":2024,"id":594429,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1008190,"name":"Sarah Thompson","orcid":"0000-0001-6687-8260","position":1,"is_corresponding":false},{"id":696499,"name":"Evan Orenstein","orcid":"0000-0003-3756-8575","position":2,"is_corresponding":false},{"id":1401851,"name":"Swaminathan Kandaswamy","orcid":"0000-0003-2109-5769","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Accurate Dosing Weight: When the 10% Really Matters","abstract":"<jats:p>Introduction: Children are at increased risk of medication-associated adverse events, often due to weight-based dosing errors. We aimed to reduce the proportion of medications that were administered where the dosing weight was ≥ 10% different from the recorded weight. Methods: We adopted in-situ usability testing to iteratively improve design of clinical decision support that would enable accurate dosing weight documentation by prompting clinicians to update weight if recorded weight was &gt; 10% different and it had been at least 7 days since the last dosing weight update. Results: The proportion of medication administrations with difference &gt;10% between their recorded weight and dosing weight decreased from 13.1% (56,256/ 429,006) in the baseline period to 9.5% (35,560 / 372,443) in the intervention period (P &lt; 0.001). Discussion and Conclusion: User-centered design of an interruptive alert improved the accuracy of dosing weights during medication administrations without substantial alert burden. In-situ usability testing is an effective approach to rapidly obtain feedback from frontline users and iterate on the design to effect desired behavior changes</jats:p>","is_dataset_classified":null,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"38269824","pmcid":null,"openalex_id":"https://openalex.org/W4391224393","authors":[],"funders":[],"total_grants":0,"fwci":4.3538,"citation_percentile":0.89036251,"influential_citations":0,"citation_trend":[{"year":2024,"count":1}],"oa_status":"hybrid","license":"cc-by-nc","oa_locations":[{"url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230986","host_type":"book series"},{"url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230986","host_type":"HYBRID"},{"url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI230986","host_type":"publisher"},{"url":"https://doi.org/10.3233/shti230986","host_type":"book series"},{"url":"https://pubmed.ncbi.nlm.nih.gov/38269824","host_type":"repository"}],"fields_of_study":["Patient Safety and Medication Errors","Hyperglycemia and glycemic control in critically ill and hospitalized patients","Pharmaceutical studies and practices","Medicine","Computer Science"],"mesh_terms":["User-Centered Design","Child","Documentation","Humans","Records"],"keywords":["Dosing","Usability","Medicine","Body weight","Adverse effect","Computer science","Pharmacology","Internal medicine","Clinical Decision Support","Medication Safety"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Peace, Justice and strong institutions"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-27T14:34:06.919598Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}