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      계획되지 않은 재입원 예측인자 고찰 = Predictive Factors for Unplanned Readmission: An Umbrella Review

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      https://www.riss.kr/link?id=A108884505

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      다국어 초록 (Multilingual Abstract)

      Unplanned hospital readmission could have negative consequences, including financial burdens. Identifying factors that affect readmission risk can help predict those at high risk. This review aimed to identify risk factors for hospital readmission after discharge in adult general population. A systematic search of PubMed, EMBASE and Cochrane Review databases was conducted for review articles on predictive models or risk factors for unplanned readmission up to January 18 2023.
      Of 965 articles identified, 11 review articles met inclusion criteria. The identified risk factors associated with readmission included demographic and social-determinants of health, healthcare utilization prior to index admission, overall health and function score, illness severity, index admission and discharge diagnosis, co-morbid disease, comorbidity index, medications, and polypharmacy. The identified risk factors for unplanned readmission are useful for developing prediction models or targeting hospitalized patients for preventive interventions to reduce unplanned readmission.
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      Unplanned hospital readmission could have negative consequences, including financial burdens. Identifying factors that affect readmission risk can help predict those at high risk. This review aimed to identify risk factors for hospital readmission aft...

      Unplanned hospital readmission could have negative consequences, including financial burdens. Identifying factors that affect readmission risk can help predict those at high risk. This review aimed to identify risk factors for hospital readmission after discharge in adult general population. A systematic search of PubMed, EMBASE and Cochrane Review databases was conducted for review articles on predictive models or risk factors for unplanned readmission up to January 18 2023.
      Of 965 articles identified, 11 review articles met inclusion criteria. The identified risk factors associated with readmission included demographic and social-determinants of health, healthcare utilization prior to index admission, overall health and function score, illness severity, index admission and discharge diagnosis, co-morbid disease, comorbidity index, medications, and polypharmacy. The identified risk factors for unplanned readmission are useful for developing prediction models or targeting hospitalized patients for preventive interventions to reduce unplanned readmission.

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      참고문헌 (Reference)

      1 Zhou H, "Utility of models to predict 28-day or 30-day unplanned hospital readmissions : an updated systematic review" 6 : e011060-, 2016

      2 Mahmoudi E, "Use of electronic medical records in development and validation of risk prediction models of hospital readmission : systematic review" 369 : m958-, 2020

      3 Arendts G, "Use of a risk nomogram to predict emergency department reattendance in older people after discharge : a validation study" 10 : 481-487, 2015

      4 Ashton CM, "The association between the quality of inpatient care and early readmission : a meta-analysis of the evidence" 35 : 1044-1059, 1997

      5 Schwab C, "Risk scores identifying elderly inpatients at risk of 30-day unplanned readmission and accident and emergency department visit : a systematic review" 9 : e028302-, 2019

      6 Kansagara D, "Risk prediction models for hospital readmission : a systematic review" 306 : 1688-1698, 2011

      7 García-Pérez L, "Risk factors for hospital readmissions in elderly patients : a systematic review" 104 : 639-651, 2011

      8 Pedersen MK, "Risk factors for acute care hospital readmission in older persons in Western countries : a systematic review" 15 : 454-485, 2017

      9 Jencks SF, "Rehospitalizations among patients in the medicare fee-forservice program" 360 : 1418-1428, 2009

      10 Jong Geol Jang ; June Hong Ahn, "Reasons and Risk Factors for Readmission Following Hospitalization for Community‑acquired Pneumonia in South Korea" 대한결핵및호흡기학회 83 (83): 147-156, 2020

      1 Zhou H, "Utility of models to predict 28-day or 30-day unplanned hospital readmissions : an updated systematic review" 6 : e011060-, 2016

      2 Mahmoudi E, "Use of electronic medical records in development and validation of risk prediction models of hospital readmission : systematic review" 369 : m958-, 2020

      3 Arendts G, "Use of a risk nomogram to predict emergency department reattendance in older people after discharge : a validation study" 10 : 481-487, 2015

      4 Ashton CM, "The association between the quality of inpatient care and early readmission : a meta-analysis of the evidence" 35 : 1044-1059, 1997

      5 Schwab C, "Risk scores identifying elderly inpatients at risk of 30-day unplanned readmission and accident and emergency department visit : a systematic review" 9 : e028302-, 2019

      6 Kansagara D, "Risk prediction models for hospital readmission : a systematic review" 306 : 1688-1698, 2011

      7 García-Pérez L, "Risk factors for hospital readmissions in elderly patients : a systematic review" 104 : 639-651, 2011

      8 Pedersen MK, "Risk factors for acute care hospital readmission in older persons in Western countries : a systematic review" 15 : 454-485, 2017

      9 Jencks SF, "Rehospitalizations among patients in the medicare fee-forservice program" 360 : 1418-1428, 2009

      10 Jong Geol Jang ; June Hong Ahn, "Reasons and Risk Factors for Readmission Following Hospitalization for Community‑acquired Pneumonia in South Korea" 대한결핵및호흡기학회 83 (83): 147-156, 2020

      11 El Morabet N, "Prevalence and preventability of drug-related hospital readmissions : a systematic review" 66 : 602-608, 2018

      12 Mouchtouris N, "Predictors of 30-day hospital readmission after mechanical thrombectomy for acute ischemic stroke" 134 : 1500-1504, 2020

      13 Artetxe A, "Predictive models for hospital readmission risk : A systematic review of methods" 164 : 49-64, 2018

      14 Healthcare Cost and Utilization Project, "Overview of Clinical Conditions With Frequent and Costly Hospital Readmissions by Payer, 2018"

      15 Linkens A, "Medication-related hospital admissions and readmissions in older patients : an overview of literature" 42 : 1243-1251, 2020

      16 Rajaguru V, "LACE index to predict the high risk of 30-day readmission : a systematic review and meta-analysis" 12 : 545-, 2022

      17 Rajaguru V, "LACE Index to Predict the High Risk of 30-Day Readmission in Patients With Acute Myocardial Infarction at a University Affiliated Hospital" 9 : 925965-, 2022

      18 Asomaning NC Loftus, "Identification of seniors at risk(ISAR)screening tool in the emergency department : implementation using the plan-do-study-act model and validation results" 40 : 357-364, 2014

      19 O'Caoimh R, "Frailty screening in the emergency department : comparing the variable indicative of placement risk, clinical frailty scale and PRISMA-7" 20 : 290-, 2022

      20 Healthcare Cost and Utilization Project, "Conditions With the Largest Number of Adult Hospital Readmissions by Payer, 2011"

      21 Huang Y, "Application of machine learning in predicting hospital readmissions : a scoping review of the literature" 21 : 96-, 2021

      22 Piffer I, "Ability of emergency department physicians using a functional autonomy-assessing version of the triage risk screening tool to detect frail older patients who require mobile geriatric team consultation" 24 : 634-641, 2020

      23 Gatt ML, "A review of literature on risk prediction tools for hospital readmissions in older adults" 36 : 521-557, 2022

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