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      A Study on the Development of Predictive Model for Patient Visibility in Korean Intensive Care Units (ICUs) - Focused on “Corridor or Continental” type units = A Study on the Development of Predictive Model for Patient Visibility in Korean Intensive Care Units (ICUs) - Focused on “Corridor or Continental” type units

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      https://www.riss.kr/link?id=A102132498

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      다국어 초록 (Multilingual Abstract)

      Purpose: The purpose of this paper is to develop a predictive model for patient visibility in Korean ICUs (corridor or continental type). Methods: The measures of static visibility were used to quantify the patient visibility (upper third part of the patient bed) from the nurse station. The measure of space programme and area distribution (patient zone percentage, staff zone percentage and departmental gross square meter per patient bed) were calculated by using AutoCAD and MS Excel programs. Regression analysis was conducted for visibility as dependant variable with independent variables of patient area percentage, staff area percentage as well as departmental gross square meter per bed by using IBM SPSS. Results: (1) Average patient visibility and percentage of patient area in ICU shows a strong negative correlation (r²=0.66), p=0.01. (2) Patient visibility in Korean ICU (corridor or continental type) can be calculated as below with the given conditions: Y= -1.449(X)+124.3±6, Y is the total visibility of the ICU (corridor or continental type) and X is the percentage of patient area in the unit. Conditions:1. Given that the unit has a mixed programme of open bed and closed patient rooms and 2. The unit have a minimum of 20% patient rooms. Implications: This study may contribute to the visibility analysis of existing and future ICU design (corridor or continental type) in Korea to achieve maximum patient visibility and reduced patient mortality.
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      Purpose: The purpose of this paper is to develop a predictive model for patient visibility in Korean ICUs (corridor or continental type). Methods: The measures of static visibility were used to quantify the patient visibility (upper third part of the ...

      Purpose: The purpose of this paper is to develop a predictive model for patient visibility in Korean ICUs (corridor or continental type). Methods: The measures of static visibility were used to quantify the patient visibility (upper third part of the patient bed) from the nurse station. The measure of space programme and area distribution (patient zone percentage, staff zone percentage and departmental gross square meter per patient bed) were calculated by using AutoCAD and MS Excel programs. Regression analysis was conducted for visibility as dependant variable with independent variables of patient area percentage, staff area percentage as well as departmental gross square meter per bed by using IBM SPSS. Results: (1) Average patient visibility and percentage of patient area in ICU shows a strong negative correlation (r²=0.66), p=0.01. (2) Patient visibility in Korean ICU (corridor or continental type) can be calculated as below with the given conditions: Y= -1.449(X)+124.3±6, Y is the total visibility of the ICU (corridor or continental type) and X is the percentage of patient area in the unit. Conditions:1. Given that the unit has a mixed programme of open bed and closed patient rooms and 2. The unit have a minimum of 20% patient rooms. Implications: This study may contribute to the visibility analysis of existing and future ICU design (corridor or continental type) in Korea to achieve maximum patient visibility and reduced patient mortality.

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      참고문헌 (Reference)

      1 강철환, "중환자실의 중증도 보정 사망률 변이" 대한마취통증의학회 57 (57): 698-703, 2009

      2 "What is Intensive Care?" IntensiveCareSocietyUK

      3 Lee, Jaemin, "The inter-hospital variations of the intensive care unit (ICU) mortality in Korea: what's the problem and what do we have to do to solve it?" 57 (57): 691-692, 2009

      4 Catrambone, Cathy, "The design of adult acute care units in US hospitals" 41 (41): 79-86, 2009

      5 "The Number of Delivery Rooms, Infant Units, Operating Rooms, Emergency Rooms, Intensive Care Units (Unit: Number)" Medical Korea Statistics

      6 Leaf, David E, "Relationship between ICU design and mortality" 137 (137): 1022-1027, 2010

      7 Bauer, H., "Recording of walking performance of nurses working in hospital departments" 24 (24): 539-541, 1978

      8 Lu, Yi, "Patient visibility and ICU mortality: A conceptual replication" 7 (7): 92-103, 2014

      9 Cai, Hui, "Out of Sight, Out of Reach:Correlating spatial metrics of nurse station typology with nurses’ communication and co-awareness in an intensive care unit" 36 : 2012

      10 "Nightingale, Florence 1863. Notes on hospitals. Longman, Green, Lo gman, Roberts, and Green"

      1 강철환, "중환자실의 중증도 보정 사망률 변이" 대한마취통증의학회 57 (57): 698-703, 2009

      2 "What is Intensive Care?" IntensiveCareSocietyUK

      3 Lee, Jaemin, "The inter-hospital variations of the intensive care unit (ICU) mortality in Korea: what's the problem and what do we have to do to solve it?" 57 (57): 691-692, 2009

      4 Catrambone, Cathy, "The design of adult acute care units in US hospitals" 41 (41): 79-86, 2009

      5 "The Number of Delivery Rooms, Infant Units, Operating Rooms, Emergency Rooms, Intensive Care Units (Unit: Number)" Medical Korea Statistics

      6 Leaf, David E, "Relationship between ICU design and mortality" 137 (137): 1022-1027, 2010

      7 Bauer, H., "Recording of walking performance of nurses working in hospital departments" 24 (24): 539-541, 1978

      8 Lu, Yi, "Patient visibility and ICU mortality: A conceptual replication" 7 (7): 92-103, 2014

      9 Cai, Hui, "Out of Sight, Out of Reach:Correlating spatial metrics of nurse station typology with nurses’ communication and co-awareness in an intensive care unit" 36 : 2012

      10 "Nightingale, Florence 1863. Notes on hospitals. Longman, Green, Lo gman, Roberts, and Green"

      11 James, W. P, "Hospitals: design and development" Architectural Press 1986

      12 Seelye, Alan, "Hospital ward layout and nurse staffing" 7 (7): 195-201, 1982

      13 Society of Critical Care Medicine, "Guidelines for intensive care unit design" 23 : 582-588, 1995

      14 Cadenhead, C., "Critical care design: Trends in award winning designs" 2 : 72-77, 2010

      15 임채만, "Critical Care In Korea: Present and Future" 대한의학회 30 (30): 1540-1544, 2015

      16 Allison D, "Analysis of department area in contemporary hospitals: Calculation methodologies & design factors in major patient care departments" Funded in part by the American Institute of Architects’ Academy of Architecture for Health Foundation 2008

      17 Burgio, Louis D., "A staff management system for maintaining improvements in continence with elderly nursing home residents" 23 (23): 111-118, 1990

      18 Hendrich, Ann, "A 36-hospital time and motion study: how do medical-surgical nurses spend their time?" RCHE Publications 50-, 2008

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2012-08-31 학회명변경 한글명 : 한국의료복지시설학회 -> 한국의료복지건축학회 KCI등재
      2012-05-11 학술지명변경 한글명 : 한국의료복지시설학회지 -> 의료·복지 건축 KCI등재
      2011-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2008-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2007-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2006-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2005-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      2003-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.43 0.43 0.44
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.4 0.44 1.165 0.08
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