{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T07:31:35Z","timestamp":1758353495236,"version":"3.44.0"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T00:00:00Z","timestamp":1758240000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T00:00:00Z","timestamp":1758240000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Mitigating clinical deterioration relies upon recognition (afferent limb) and interventions (efferent limb) by a healthcare team. Healthcare provider (HP) communication by text messaging plays a role in facilitating both limbs in the inpatient setting.\u00a0We sought to quantitatively characterize healthcare provider team communications through the social network analysis (SNA) of secure text messages exchanged in the inpatient setting, and as they relate to a subgroup of patients demonstrating a deterioration during their hospitalization.\u00a0Messages linked to inpatients exchanged between HPs over a 12-month period, including a cohort of messages linked to patients experiencing deterioration were analyzed using SNA. Subnetworks corresponding to individual patient encounters were constructed, including a series of subnetworks pertaining to patients with an impending clinical deterioration. Network and network participant characteristics were calculated and analyzed.\u00a0From October 2022 through September 2023 there were 1,065,225 messages delivered by 3,272 HPs, associated with 4,328 inpatient hospital encounters, of which 120 hospital encounters were associated with a deterioration. SNA demonstrated significantly higher measures of eigenvector centrality among frontline providers (FLP) including advanced practice providers and housestaff, relative to attending physician (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) and registered nurses (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001), consistent with greater influence of the FLP on information dissemination through the entire network. Within individual subnetworks associated with the care of patients experiencing a clinical deterioration, FLP participants demonstrated greater overall network influence (<jats:italic>p<\/jats:italic>\u2009=\u20090.032) relative to FLP counterparts in networks not associated with a deterioration, despite comparable numbers of participants and connections.\u00a0Using SNA, we quantitatively characterized a text messaging network within an inpatient hospital setting, demonstrating the importance of FLPs on information dissemination, a finding demonstrated specifically within subnetworks dedicated to the care of individual deteriorating patients. Understanding characteristics of a dynamic communication network of healthcare providers may prove a valuable target in facilitating communication and in mitigating the risks of deterioration.<\/jats:p>\n          <jats:p>\n            <jats:bold>IRB Approval<\/jats:bold>: Johns Hopkins Medicine IRB (#CIR00419339).<\/jats:p>\n          <jats:p>\n            <jats:bold>Clinical trial number<\/jats:bold>: Not applicable.<\/jats:p>","DOI":"10.1007\/s10916-025-02250-8","type":"journal-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:59:59Z","timestamp":1758272399000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Social Network Analysis of Secure Text Messaging Metadata During Clinical Deterioration in an Inpatient Children\u2019s Hospital Setting"],"prefix":"10.1007","volume":"49","author":[{"given":"Andrew Harold","family":"Smith","sequence":"first","affiliation":[]},{"given":"Brant","family":"Tudor","sequence":"additional","affiliation":[]},{"given":"Vishnu","family":"Mohan","sequence":"additional","affiliation":[]},{"given":"Mohamed A.","family":"Rehman","sequence":"additional","affiliation":[]},{"given":"Luis","family":"Ahumada","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,19]]},"reference":[{"key":"2250_CR1","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1097\/PTS.0b013e3182948a69","volume":"9","author":"JT James","year":"2013","unstructured":"James JT (2013) A new, evidence-based estimate of patient harms associated with hospital care. 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This study was approved and waiver for informed consent was provided by the Johns Hopkins Medicine Institutional Review Board (IRB#CIR00419339).","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Protection of Human and Animal Subjects"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}],"article-number":"116"}}