入院患者の精神科の再採用に関連する患者の特性と、READMIT臨床リスク指数の有用性

入院患者の精神科施設への30日間の頻繁な再入院の問題に対応して、Vigod and Colleagues（2015）は、精神医学的入院患者の再入院の危険因子を特定するためにReadmit臨床リスク指数を開発しました。この記述的レトロスペクティブ研究の目的は、米国南東部の州精神病院で30日間の入院精神科医学再生のリスクが高い患者を特定するために、READMIT臨床リスク指数の有効性を調べることでした。Data were extracted from the discharge summaries of patients discharged between September 2013 and December 2014. Data collected included patient demographic variables (age, gender, race/ethnicity, primary diagnosis, housing status at discharge, employment, long-acting injectable at discharge, substance abuse, education, and insurance status) and study variables from the READMIT clinical risk index (repeat admission, emergent admission, age, diagnosis and discharge, medical comorbidity, intensity, and time病院で）。包含基準は18歳以上でした。除外基準はありませんでした。調査結果は、年齢、保険のステータス、以前の生涯入学、「診断と退院」スコア、およびより高いREADMIT臨床リスク指数スコアが30日間の再入院に関連していることを示しました。将来の研究には、30日間の再入院の予測可能性を評価し、最小臨床リスクインデックススコアの可能性のある使用を調査して、患者の患者の必要性の評価をトリガーして、診療後の退院を引き起こすために、Readmit臨床リスクインデックスの前向き研究を含める必要があります。

In response to the problem of frequent 30-day readmissions to inpatient psychiatric facilities, Vigod and colleagues (2015) developed the READMIT clinical risk index to identify risk factors for psychiatric inpatient readmissions. The purpose of this descriptive retrospective study was to examine the effectiveness of the READMIT clinical risk index to identify patients that are at high risk for a 30-day inpatient psychiatric readmission at a state psychiatric hospital in the southeastern US. Data were extracted from the discharge summaries of patients discharged between September 2013 and December 2014. Data collected included patient demographic variables (age, gender, race/ethnicity, primary diagnosis, housing status at discharge, employment, long-acting injectable at discharge, substance abuse, education, and insurance status) and study variables from the READMIT clinical risk index (repeat admission, emergent admission, age, diagnosis and discharge, medical comorbidity, intensity, and time in hospital). The inclusion criterion was age 18 and above. There were no exclusion criteria. Findings indicated that age, insurance status, previous lifetime admissions, 'diagnoses and discharge' scores, and higher READMIT clinical risk index scores were associated with 30-day readmissions. Future research should include a prospective study of the READMIT clinical risk index to assess its predictability of 30-day readmissions and explore possible use of the minimum clinical risk index score to trigger evaluation of patient need for enhanced transitional care services posthospital discharge.