{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T00:49:08Z","timestamp":1789778948596,"version":"4.0.1"},"reference-count":71,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T00:00:00Z","timestamp":1755129600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100013276","name":"Interreg Europe","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100013276","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Nursing Studies"],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1016\/j.ijnurstu.2025.105188","type":"journal-article","created":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T06:37:25Z","timestamp":1755153445000},"page":"105188","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":8,"special_numbering":"C","title":["Identifying risk prediction models and predictors for hospital readmission in patients with medical conditions: A systematic review and meta-analysis"],"prefix":"10.1016","volume":"171","author":[{"given":"Nanna","family":"Selmer","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Connie","family":"Berthelsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bastiaan","family":"Van Grootven","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriele","family":"Meyer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mia Ingerslev","family":"Loft","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ijnurstu.2025.105188_bb0005","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1002\/jhm.805","article-title":"Redefining readmission risk factors for general medicine patients","volume":"6","author":"Allaudeen","year":"2011","journal-title":"J. Hosp. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0010","doi-asserted-by":"crossref","DOI":"10.1183\/16000617.0166-2019","article-title":"Risk factors for all-cause hospital readmission following exacerbation of COPD: a systematic review and meta-analysis","volume":"29","author":"Alqahtani","year":"2020","journal-title":"Eur. Respir. Rev."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0015","doi-asserted-by":"crossref","DOI":"10.3390\/jcm13020539","article-title":"Relationship between anemia and readmission among older patients in rural community hospitals: a retrospective cohort study","volume":"13","author":"Amano","year":"2024","journal-title":"J. Clin. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0020","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1186\/s12913-023-09608-z","article-title":"Predictors of readmission in a medical department of a tertiary university hospital in the Philippines","volume":"23","author":"Balane","year":"2023","journal-title":"BMC Health Serv. Res."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0025","first-page":"176","article-title":"Systematic review of hospital readmissions among patients with cancer in the United States","volume":"44","author":"Bell","year":"2017","journal-title":"Oncol. Nurs. Forum"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0030","article-title":"Age trends in 30 day hospital readmissions: US national retrospective analysis","volume":"360","author":"Berry","year":"2018","journal-title":"BMJ"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0035","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1186\/s12874-022-01801-8","article-title":"Methodological guidance for the evaluation and updating of clinical prediction models: a systematic review","volume":"22","author":"Binuya","year":"2022","journal-title":"BMC Med. Res. Methodol."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0040","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0219348","article-title":"Development of a predictive score for potentially avoidable hospital readmissions for general internal medicine patients","volume":"14","author":"Blanc","year":"2019","journal-title":"PLoS One"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0045","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1001\/jamainternmed.2013.3023","article-title":"Potentially avoidable 30-day hospital readmissions in medical patients: derivation and validation of a prediction model","volume":"173","author":"Donz\u00e9","year":"2013","journal-title":"JAMA Intern. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0050","doi-asserted-by":"crossref","first-page":"f7171","DOI":"10.1136\/bmj.f7171","article-title":"Causes and patterns of readmissions in patients with common comorbidities: retrospective cohort study","volume":"347","author":"Donz\u00e9","year":"2013","journal-title":"BMJ: Br. Med. J. (Clin. Res. Ed.)"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0055","doi-asserted-by":"crossref","first-page":"836","DOI":"10.1016\/j.amjmed.2016.02.036","article-title":"Impact of hyponatremia correction on the risk for 30-day readmission and death in patients with congestive heart failure","volume":"129","author":"Donz\u00e9","year":"2016","journal-title":"Am. J. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0060","doi-asserted-by":"crossref","first-page":"164","DOI":"10.7196\/SAMJ.2019.v109i3.13367","article-title":"Evaluation of factors and patterns influencing the 30-day readmission rate at a tertiary-level hospital in a resource-constrained setting in Cape Town, South Africa","volume":"109","author":"Dreyer","year":"2019","journal-title":"S. Afr. Med. J."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0065","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1186\/s12874-023-01849-0","article-title":"CHARMS and PROBAST at your fingertips: a template for data extraction and risk of bias assessment in systematic reviews of predictive models","volume":"23","author":"Fernandez-Felix","year":"2023","journal-title":"BMC Med. Res. Methodol."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0070","doi-asserted-by":"crossref","DOI":"10.1186\/s12911-019-0836-6","article-title":"Identifying patients at highest-risk: the best timing to apply a readmission predictive model","volume":"19","author":"Flaks-Manov","year":"2019","journal-title":"BMC Med. Inform. Decis. Making"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0075","doi-asserted-by":"crossref","first-page":"942","DOI":"10.1111\/jep.13516","article-title":"A simple index predicting 30-day readmissions in acutely hospitalized patients","volume":"27","author":"Froom","year":"2021","journal-title":"J. Eval. Clin. Pract."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0080","doi-asserted-by":"crossref","DOI":"10.3390\/jcm12093074","article-title":"The impact of weight loss prior to hospital readmission","volume":"12","author":"Fusco","year":"2023","journal-title":"J. Clin. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0085","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.jbi.2015.05.016","article-title":"A comparison of models for predicting early hospital readmissions","volume":"56","author":"Futoma","year":"2015","journal-title":"J. Biomed. Inform."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0090","doi-asserted-by":"crossref","DOI":"10.1097\/MD.0000000000000964","article-title":"Severity of Anemia predicts hospital length of stay but not readmission in patients with chronic kidney disease: a retrospective cohort study","volume":"94","author":"Garlo","year":"2015","journal-title":"Medicine"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0095","series-title":"ISSG Search Filter Resource [Internet]","author":"Glanville","year":"2024"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0100","doi-asserted-by":"crossref","DOI":"10.2196\/26486","article-title":"Prediction of readmission in geriatric patients from clinical notes: retrospective text mining study","volume":"23","author":"Goh","year":"2021","journal-title":"J. Med. Internet Res."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0105","article-title":"A hybrid machine learning framework to improve prediction of all-cause rehospitalization among elderly patients in Hong Kong","volume":"23","author":"Guan","year":"2023","journal-title":"BMC Med. Res. Methodol."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0110","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1111\/bcp.12293","article-title":"A systematic review of hospitalization resulting from medicine-related problems in adult patients","volume":"78","author":"Hamid","year":"2014","journal-title":"Br. J. Clin. Pharmacol."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0115","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1148\/radiology.143.1.7063747","article-title":"The meaning and use of the area under a receiver operating characteristic (ROC) curve","volume":"143","author":"Hanley","year":"1982","journal-title":"Radiology"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0120","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12913-017-2156-9","article-title":"Readmission and mortality in patients discharged with a diagnosis of medical observation and evaluation (Z03*-codes) from an acute admission unit in Denmark: a prospective cohort study","volume":"17","author":"Hansen","year":"2017","journal-title":"BMC Health Serv. Res."},{"issue":"3","key":"10.1016\/j.ijnurstu.2025.105188_bb5000","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11606-009-1196-1","article-title":"Hospital readmission in general medicine patients: a prediction model","volume":"25","author":"Hasan","year":"2009","journal-title":"J. Gen. Intern. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0125","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s11606-009-1196-1","article-title":"Hospital readmission in general medicine patients: a prediction model","volume":"25","author":"Hasan","year":"2010","journal-title":"J. Gen. Intern. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0130","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1136\/bmj.327.7414.557","article-title":"Measuring inconsistency in meta-analyses","volume":"327","author":"Higgins","year":"2003","journal-title":"Br. Med. J."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0135","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12877-018-0883-3","article-title":"Causes and correlates of 30 day and 180 day readmission following discharge from a medicine for the elderly rehabilitation unit","volume":"18","author":"Hughes","year":"2018","journal-title":"BMC Geriatr."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0140","doi-asserted-by":"crossref","DOI":"10.2196\/14756","article-title":"Readmission risk trajectories for patients with heart failure using a dynamic prediction approach: retrospective study","volume":"7","author":"Jiang","year":"2019","journal-title":"JMIR Med. Inform."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0145","doi-asserted-by":"crossref","first-page":"1688","DOI":"10.1001\/jama.2011.1515","article-title":"Risk prediction models for hospital readmission: a systematic review","volume":"306","author":"Kansagara","year":"2011","journal-title":"Jama"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0150","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1093\/intqhc\/mzy022","article-title":"A comprehensive framework identifying readmission risk factors using the CHAID algorithm: a prospective cohort study","volume":"30","author":"Kaya","year":"2018","journal-title":"Int. J. Qual. Health Care"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0155","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1002\/hpm.2648","article-title":"Predictors of hospital readmissions in internal medicine patients: application of Andersen\u2019s Model","volume":"34","author":"Kaya","year":"2019","journal-title":"Int. J. Health Plann. Manag."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0160","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12877-020-01599-4","article-title":"Readmission of older acutely admitted medical patients after short-term admissions in Denmark: a nationwide cohort study","volume":"20","author":"Klinge","year":"2020","journal-title":"BMC Geriatr."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0165","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1186\/s12874-019-0766-0","article-title":"How do studies assess the preventability of readmissions? A systematic review with narrative synthesis","volume":"19","author":"Kneepkens","year":"2019","journal-title":"BMC Med. Res. Methodol."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0170","doi-asserted-by":"crossref","first-page":"3428","DOI":"10.1210\/clinem\/dgaa547","article-title":"Risk of adverse clinical outcomes in hyponatremic adult patients hospitalized for acute medical conditions: a population-based cohort study","volume":"105","author":"Kutz","year":"2020","journal-title":"J. Clin. Endocrinol. Metab."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0175","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1136\/jim-2018-000748","article-title":"Patient and hospital factors associated with 30-day unplanned readmission in patients with stroke","volume":"67","author":"Lee","year":"2019","journal-title":"J. Investig. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0180","doi-asserted-by":"crossref","first-page":"e000544","DOI":"10.1136\/bmjoq-2018-000544","article-title":"Development of a prediction model for 30-day acute readmissions among older medical patients: the influence of social factors along with other patient-specific and organisational factors","volume":"8","author":"Lehn","year":"2019","journal-title":"BMJ Open Qual."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0185","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1097\/CCM.0000000000004246","article-title":"Development and reporting of prediction models: guidance for authors from editors of respiratory, sleep, and critical care journals","volume":"48","author":"Leisman","year":"2020","journal-title":"Crit. Care Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0190","doi-asserted-by":"crossref","first-page":"50","DOI":"10.3122\/jabfm.2016.01.150127","article-title":"Admission data predict high hospital readmission risk","volume":"29","author":"Logue","year":"2016","journal-title":"J. Am. Board Fam. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0195","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2025.1499564","article-title":"Risk factors analysis and nomograph model construction of unplanned readmission for ischemic stroke within 31\u00a0days in Wenzhou","volume":"16","author":"Ma","year":"2025","journal-title":"Front. Neurol."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0200","article-title":"Use of electronic medical records in development and validation of risk prediction models of hospital readmission: systematic review","volume":"369","author":"Mahmoudi","year":"2020","journal-title":"Br. Med. J."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0205","doi-asserted-by":"crossref","first-page":"1796","DOI":"10.1161\/CIRCULATIONAHA.114.010270","article-title":"Hospital readmissions reduction program","volume":"131","author":"Mcilvennan","year":"2015","journal-title":"Circulation"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0210","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1001744","article-title":"Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist","volume":"11","author":"Moons","year":"2014","journal-title":"PLoS Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0215","doi-asserted-by":"crossref","first-page":"W1","DOI":"10.7326\/M18-1377","article-title":"PROBAST: a tool to assess risk of bias and applicability of prediction model studies: explanation and elaboration","volume":"170","author":"Moons","year":"2019","journal-title":"Ann. Intern. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0220","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1002\/jhm.811","article-title":"Recurrent readmissions in medical patients: a prospective study","volume":"6","author":"Mudge","year":"2011","journal-title":"J. Hosp. Med. (Online)"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0225","article-title":"Association of in-hospital multimorbidity with healthcare outcomes in Swiss medical inpatients","volume":"151","author":"M\u00fcller","year":"2021","journal-title":"Swiss Med. Wkly."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0230","doi-asserted-by":"crossref","first-page":"1922","DOI":"10.1186\/s12889-021-11987-z","article-title":"Socio-demographic and -economic factors associated with 30-day readmission for conditions targeted by the hospital readmissions reduction program: a population-based study","volume":"21","author":"Murray","year":"2021","journal-title":"BMC Public Health"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0235","doi-asserted-by":"crossref","first-page":"25","DOI":"10.4097\/kja.21209","article-title":"Receiver operating characteristic curve: overview and practical use for clinicians","volume":"75","author":"Nahm","year":"2022","journal-title":"Korean J. Anesthesiol."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0240","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1002\/jhm.2568","article-title":"Predicting all-cause readmissions using electronic health record data from the entire hospitalization: model development and comparison","volume":"11","author":"Nguyen","year":"2016","journal-title":"J. Hosp. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0245","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1001\/jama.2015.11082","article-title":"Evaluating discrimination of risk prediction models: the C statistic","volume":"314","author":"Pencina","year":"2015","journal-title":"JAMA"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0250","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1186\/s12913-015-0950-9","article-title":"The number of discharge medications predicts thirty-day hospital readmission: a cohort study","volume":"15","author":"Picker","year":"2015","journal-title":"BMC Health Serv. Res."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0255","article-title":"Low haemoglobin level predicts early hospital readmission in patients with cirrhosis and acute decompensation","volume":"5","author":"Pompili","year":"2023","journal-title":"JHEP Rep."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0260","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s40266-023-01076-8","article-title":"Prevalence of and risk factors for drug-related readmissions in older adults: a systematic review and meta-analysis","volume":"41","author":"Prasad","year":"2024","journal-title":"Drugs Aging"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0265","article-title":"Impact of length of stay on readmission in hospitalized patients","volume":"12","author":"Rachoin","year":"2020","journal-title":"Cureus"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0270","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.ejim.2017.07.008","article-title":"Readmission to hospital of medical patients \u2013 a cohort study","volume":"46","author":"Rasmussen","year":"2017","journal-title":"Eur. J. Intern. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0275","doi-asserted-by":"crossref","first-page":"209","DOI":"10.7861\/fhj.2018-0039","article-title":"Predictors of 30-day hospital readmission: the direct comparison of number of discharge medications to the HOSPITAL score and LACE index","volume":"6","author":"Robinson","year":"2019","journal-title":"Future Healthc. J."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0280","series-title":"Identifying Risk Prediction Model Factors for All-cause Acute Hospital Readmission \u2014 A Systematic Review","author":"Selmer","year":"2024"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0285","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1097\/MLR.0000000000000315","article-title":"Predicting 30-day readmissions with preadmission electronic health record data","volume":"53","author":"Shadmi","year":"2015","journal-title":"Med. Care"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0290","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCOUTCOMES.117.003885","article-title":"Acute myocardial infarction readmission risk prediction models: a systematic review of model performance","volume":"11","author":"Smith","year":"2018","journal-title":"Circ. Cardiovasc. Qual. Outcomes"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0295","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2022-073538","article-title":"Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA)","volume":"381","author":"Snell","year":"2023","journal-title":"BMJ"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0300","doi-asserted-by":"crossref","first-page":"1925","DOI":"10.1093\/eurheartj\/ehu207","article-title":"Towards better clinical prediction models: seven steps for development and an ABCD for validation","volume":"35","author":"Steyerberg","year":"2014","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0305","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/S0895-4356(01)00341-9","article-title":"Internal validation of predictive models: efficiency of some procedures for logistic regression analysis","volume":"54","author":"Steyerberg","year":"2001","journal-title":"J. Clin. Epidemiol."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0310","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1093\/intqhc\/mzu038","article-title":"Derivation and validation of a formula to estimate risk for 30-day readmission in medical patients","volume":"26","author":"Taha","year":"2014","journal-title":"Int. J. Qual. Health Care"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0315","article-title":"Current trends in readmission prediction: an overview of approaches","volume":"1-18","author":"Teo","year":"2021","journal-title":"Arab. J. Sci. Eng."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0320","first-page":"33","article-title":"Developing a real-time prediction model for medicine service 30-day readmissions","volume":"27","author":"Trautwein","year":"2020","journal-title":"J. Clin. Outcomes Manag."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0325","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1186\/s12916-019-1466-7","article-title":"Calibration: the achilles heel of predictive analytics","volume":"17","author":"Van Calster","year":"2019","journal-title":"BMC Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0330","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2020-047576","article-title":"Prediction models for hospital readmissions in patients with heart disease: a systematic review and meta-analysis","volume":"11","author":"Van Grootven","year":"2021","journal-title":"BMJ Open"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0335","doi-asserted-by":"crossref","first-page":"2975","DOI":"10.1109\/TCBB.2021.3089682","article-title":"Predictive modeling of hospital readmission: challenges and solutions","volume":"19","author":"Wang","year":"2021","journal-title":"IEEE\/ACM Trans. Comput. Biol. Bioinform."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0340","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1016\/j.ejim.2012.01.005","article-title":"Predictive model of readmission to internal medicine wards","volume":"23","author":"Zapatero","year":"2012","journal-title":"Eur. J. Intern. Med."},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0345","article-title":"Risk prediction models for mortality and readmission in patients with acute heart failure: a protocol for systematic review, critical appraisal, and meta-analysis","volume":"18","author":"Zhang","year":"2023","journal-title":"PLoS One"},{"key":"10.1016\/j.ijnurstu.2025.105188_bb0350","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0273342","article-title":"Social disparities in unplanned 30-day readmission rates after hospital discharge in patients with chronic health conditions: a retrospective cohort study using patient level hospital administrative data linked to the population census in Switzerland","volume":"17","author":"Zumbrunn","year":"2022","journal-title":"PLoS One"}],"container-title":["International Journal of Nursing Studies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020748925001981?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020748925001981?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T08:23:19Z","timestamp":1774945399000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020748925001981"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":71,"alternative-id":["S0020748925001981"],"URL":"https:\/\/doi.org\/10.1016\/j.ijnurstu.2025.105188","relation":{},"ISSN":["0020-7489"],"issn-type":[{"value":"0020-7489","type":"print"}],"subject":[],"published":{"date-parts":[[2025,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Identifying risk prediction models and predictors for hospital readmission in patients with medical conditions: A systematic review and meta-analysis","name":"articletitle","label":"Article Title"},{"value":"International Journal of Nursing Studies","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ijnurstu.2025.105188","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"105188"}}