{"doi":"10.14485/hbpr.10.1.1","title":"Formative Evaluation of a Student Symptom Decision Tree for COVID-19","abstract":"Objectives: In support of schools restarting during the COVID-19 pandemic, some schools partnered with local experts in academia, education, community, and public health to provide decision-support tools for determining what actions to take when presented with students at risk for spreading infection at school. Methods: The Student Symptom Decision Tree, developed in Orange County, California, is a flow chart consisting of branching logic and definitions to assist school personnel in making decisions regarding possible COVID-19 cases in schools which was repeatedly updated to reflect evolving evidence-based guidelines. A survey of 56 school personnel evaluated the frequency of use, acceptability, feasibility, appropriateness, usability, and helpfulness of the Decision Tree. Results: The tool was used at least 6 times a week by 66% of respondents. The Decision Tree was generally perceived as acceptable (91%), feasible (70%), appropriate (89%), usable (71%) and helpful (95%). Suggestions for improvement included reducing the complexity in content and formatting of the tool. Conclusions: The data suggest that school personnel found value in the Decision Tree, which was intended to assist them with making decisions in a challenging and rapidly evolving pandemic.","journal":"Health Behavior and Policy Review","year":2023,"id":405777,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9451,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1184930,"name":"Nicole Miovsky","orcid":null,"position":1,"is_corresponding":false},{"id":1184931,"name":"Margaret Schnieder","orcid":null,"position":2,"is_corresponding":false},{"id":982182,"name":"Amanda Woodworth","orcid":"0000-0003-4055-4625","position":3,"is_corresponding":false},{"id":1184932,"name":"Michelle DeHaven","orcid":null,"position":4,"is_corresponding":false},{"id":1184933,"name":"Pamela Kahn","orcid":null,"position":5,"is_corresponding":false},{"id":1150099,"name":"Michael D. Weiss","orcid":"0000-0002-4567-9286","position":6,"is_corresponding":false},{"id":38137,"name":"Dan M. Cooper","orcid":"0000-0003-4022-0043","position":7,"is_corresponding":false},{"id":676287,"name":"Maritza Salazar Campo","orcid":null,"position":0,"is_corresponding":true}],"reference_count":19,"raw_metadata":null,"created_at":"2026-07-19T01:20:59.152593Z","pmid":"37143571","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":[]}