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10.1136/bmjopen-2024-084613 http://scihub22266oqcxt.onion/10.1136/bmjopen-2024-084613 C11293408!11293408 !39089713     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=39089713 &cmd=llinks): Failed to open stream: HTTP request failed! 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A real-world data analysis of electronic health records to investigate the associations of predominant negative symptoms with healthcare resource utilisation, costs and treatment patterns among patients with schizophrenia |pdf=|usr=}}{{39089713 }} gab.com Text A real-world data analysis of electronic health records to investigate the associations of predominant negative symptoms with healthcare resource utilisation, costs and treatment patterns among patients with schizophrenia JO: BMJ Open http://www.kidney.de/pget.php?&tw=1&pmid=39089713 #FOAvip OBJECTIVES: Negative symptoms in schizophrenia are associated with significant illness burden. We sought to investigate clinical outcomes for patients with schizophrenia who present with predominant negative symptoms (PNS) vs without PNS. DESIGN: Retrospective analysis of electronic health record (EHR) data. SETTING: 25 US providers of mental healthcare. PARTICIPANTS: 4444 adults with schizophrenia receiving care between 1999 and 2020. EXPOSURE: PNS defined as ?3 negative symptoms and ?3 positive symptoms recorded in EHR data at the time of the first recorded schizophrenia diagnosis (index date). Symptom data were ascertained using natural language processing applied to semistructured free text records documenting the mental state examination. A matched sample (1:1) of patients without PNS was used to compare outcomes. Follow-up data were obtained up to 12 months following the index date. PRIMARY OUTCOME MEASURE: Mean number of psychiatric hospital admissions. SECONDARY OUTCOME MEASURES: Mean number of outpatient visits, estimated treatment costs, Clinical Global Impression - Severity score and antipsychotic treatments (12 months before and after index date). RESULTS: 360 (8%) patients had PNS and 4084 (92%) did not have PNS. Patients with PNS were younger (36.4 vs 39.7 years, p<0.001) with a greater prevalence of psychiatric comorbidities (schizoaffective disorders: 25.0 vs 18.4%, p=0.003; major depressive disorder: 17.8 vs 9.8%, p<0.001). During follow-up, patients with PNS had fewer days with an antipsychotic prescription (mean=111.8 vs 140.9?days, p<0.001). Compared with matched patients without PNS, patients with PNS were more likely to have a psychiatric inpatient hospitalisation (76.1% vs 59.7%, p<0.001) and had greater estimated inpatient costs ($16?893 vs $13?732, p=0.04). CONCLUSIONS: Patients with PNS were younger and presented with greater illness severity and more psychiatric comorbidities compared with patients without PNS. Our findings highlight an unmet need for novel therapeutic approaches to address negative symptoms to improve clinical outcomes. Twit Text FOAVip A real-world data analysis of electronic health records to investigate the associations of predominant negative symptoms with healthcare resource utilisation, costs and treatment patterns among patients with schizophrenia ????BMJ Open http://www.kidney.de/pget.php?&tw=1&pmid=39089713 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=39089713 #FOAvip English Wikipedia <ref>{{Cite pmid|39089713 }}</ref> A real-world data analysis of electronic health records to investigate the associations of predominant negative symptoms with healthcare resource utilisation, costs and treatment patterns among patients with schizophrenia #MMPMID39089713 Patel R ; Dembek C ; Won Y ; Kadakia A ; Huang X ; Zeni C ; Pikalov A BMJ Open 2024[Jul]; 14 (7 ): e084613 PMID39089713 show ga OBJECTIVES: Negative symptoms in schizophrenia are associated with significant illness burden. We sought to investigate clinical outcomes for patients with schizophrenia who present with predominant negative symptoms (PNS) vs without PNS. DESIGN: Retrospective analysis of electronic health record (EHR) data. SETTING: 25 US providers of mental healthcare. PARTICIPANTS: 4444 adults with schizophrenia receiving care between 1999 and 2020. EXPOSURE: PNS defined as ?3 negative symptoms and ?3 positive symptoms recorded in EHR data at the time of the first recorded schizophrenia diagnosis (index date). Symptom data were ascertained using natural language processing applied to semistructured free text records documenting the mental state examination. A matched sample (1:1) of patients without PNS was used to compare outcomes. Follow-up data were obtained up to 12 months following the index date. PRIMARY OUTCOME MEASURE: Mean number of psychiatric hospital admissions. SECONDARY OUTCOME MEASURES: Mean number of outpatient visits, estimated treatment costs, Clinical Global Impression - Severity score and antipsychotic treatments (12 months before and after index date). RESULTS: 360 (8%) patients had PNS and 4084 (92%) did not have PNS. Patients with PNS were younger (36.4 vs 39.7 years, p<0.001) with a greater prevalence of psychiatric comorbidities (schizoaffective disorders: 25.0 vs 18.4%, p=0.003; major depressive disorder: 17.8 vs 9.8%, p<0.001). During follow-up, patients with PNS had fewer days with an antipsychotic prescription (mean=111.8 vs 140.9?days, p<0.001). Compared with matched patients without PNS, patients with PNS were more likely to have a psychiatric inpatient hospitalisation (76.1% vs 59.7%, p<0.001) and had greater estimated inpatient costs ($16?893 vs $13?732, p=0.04). CONCLUSIONS: Patients with PNS were younger and presented with greater illness severity and more psychiatric comorbidities compared with patients without PNS. Our findings highlight an unmet need for novel therapeutic approaches to address negative symptoms to improve clinical outcomes. |*Antipsychotic Agents/therapeutic use/economics [MESH] |*Electronic Health Records [MESH] |*Schizophrenia/therapy/economics [MESH] |Adult [MESH] |Female [MESH] |Health Care Costs/statistics & numerical data [MESH] |Hospitalization/economics/statistics & numerical data [MESH] |Humans [MESH] |Male [MESH] |Middle Aged [MESH] |Patient Acceptance of Health Care/statistics & numerical data [MESH] |Retrospective Studies [MESH]A real-world data analysis of electronic health records to investigate(epmc).pdf DeepDyve Pubget Overpricing