{"doi":"10.1093/pm/pnaa295","title":"Identifying Multisite Chronic Pain with Electronic Health Records Data","abstract":"BACKGROUND: Multisite chronic pain (MSCP) is associated with increased chronic pain impact, but methods for identifying MSCP for epidemiological research have not been evaluated. OBJECTIVE: We assessed the validity of identifying MSCP using electronic health care data compared with survey questionnaires. METHODS: Stratified random samples of adults served by Kaiser Permanente Northwest and Washington (N = 2,059) were drawn for a survey, oversampling persons with frequent use of health care for pain. MSCP and single-site chronic pain were identified by two methods, with electronic health care data and with self-report of common chronic pain conditions by survey questionnaire. Analyses were weighted to adjust for stratified sampling. RESULTS: MSCP was somewhat less common when ascertained by electronic health records (14.7% weighted prevalence) than by survey questionnaire (25.9% weighted prevalence). Agreement of the two MSCP classifications was low (kappa agreement statistic of 0.21). Ascertainment of MSCP with electronic health records was 30.9% sensitive, 91.0% specific, and had a positive predictive value of 54.5% relative to MSCP identified by self-report as the standard. After adjusting for age and gender, patients with MSCP identified by either electronic health records or self-report showed higher levels of pain-related disability, pain severity, depressive symptoms, and long-term opioid use than persons with single-site chronic pain identified by the same method. CONCLUSIONS: Identification of MSCP with electronic health care data was insufficiently accurate to be used as a surrogate or screener for MSCP identified by self-report, but both methods identified persons with heightened chronic pain impact.","journal":"Pain Medicine","year":2020,"id":106653,"datarank":0.31191623125197543,"base_score":2.0794415416798357,"endowment":2.0794415416798357,"self_citation_contribution":0.31191623125197543,"citation_network_contribution":0.0,"self_endowment_contribution":0.31191623125197543,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":7,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.7676,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":377020,"name":"Lynn DeBar","orcid":"0000-0001-9191-9706","position":1,"is_corresponding":false},{"id":59652,"name":"Richard A. Deyo","orcid":"0000-0002-1313-3721","position":2,"is_corresponding":false},{"id":415417,"name":"Meghan Mayhew","orcid":"0000-0002-9469-2188","position":3,"is_corresponding":false},{"id":431791,"name":"Robert D. Kerns","orcid":"0000-0002-3834-973X","position":4,"is_corresponding":false},{"id":348853,"name":"Joseph L. Goulet","orcid":"0000-0002-0842-804X","position":5,"is_corresponding":false},{"id":263472,"name":"Cynthia Brandt","orcid":"0000-0001-8179-1796","position":6,"is_corresponding":false},{"id":391765,"name":"Michael Von Korff","orcid":null,"position":0,"is_corresponding":true}],"reference_count":10,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:12:31.053776Z","pmid":"32918481","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":[]}