1
|
Hunold KM, Caterino JM, Carpenter CR, Mion LC, Southerland LT. Geriatric screening in the emergency department increases consultations to geriatric medicine and physical and occupational therapy: A pre/post cohort study. Acad Emerg Med 2024; 31:1121-1129. [PMID: 38873870 PMCID: PMC12082767 DOI: 10.1111/acem.14964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 05/07/2024] [Accepted: 05/23/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND The Geriatric Emergency Department (ED) Guidelines recommend screening older patients for need for evaluation by geriatric medicine, physical therapy (PT), and occupational therapy (OT), but explicit evidence that geriatric screening changes care compared to physician gestalt is lacking. We assessed changes in multidisciplinary consultation after implementation of standardized geriatric screening in the ED. METHODS Retrospective single-site observational cohort of older adult ED patients from 2019 to 2023 with three time periods: (1) preimplementation, (2) implementation of geriatric screening, and (3) postimplementation. Geriatric, PT, and OT consultations/referrals were available during all time periods. Descriptive analysis was stratified by disposition: discharged, observation and discharged, observation and hospital admission, and hospital admission. The independent variable was completion of three geriatric screening tools by ED nurses. The dependent variable was consultation and/or referral to geriatrics, PT, and OT. Secondary outcomes were disposition, ED revisits, and 30-day rehospitalizations. RESULTS There were 57,775 qualifying ED visits of patients age ≥ 65 years during the time periods: implementation increased geriatric screening from 0.5% to 63.2%; postimplementation, discharge patients who received screening had more consultations/referrals to geriatrics (1.5% vs. 0.4%), PT (7.9% vs. 1.9%), and OT (6.5% vs. 1.2%) compared to unscreened patients. Patients observed and then discharged had more consultations/referrals to geriatrics (15.1% vs. 11.3%), PT (74.1% vs. 64.5%), and OT (65.7% vs. 56.5%). Admitted patients had no change in consultation rates. Geriatric screening was not associated with a change in 7-day ED revisits for discharged patients but was associated with decreased revisits for patients discharged from observation (11.6% vs. 42.9%, p < 0.001). CONCLUSION Geriatric screening was associated with increased consultations/referrals to geriatrics, PT, and OT in the ED and ED observation unit. This suggests that geriatric screening changes ED care for older adults.
Collapse
|
2
|
Chang CM, Lin CY, -Hu FW, Wang YW, Huang CC, Lo YT, Wu CY, Chung YF, Kang CC, Chen YJ, Yang YC, Liu LF, Griffiths MD, Lin DC, Shen MR. Clinimetric Properties of the "FIND-NEEDS" to Screen Geriatric Conditions. Gerontology 2024; 70:893-902. [PMID: 38740010 DOI: 10.1159/000539261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 04/23/2024] [Indexed: 05/16/2024] Open
Abstract
INTRODUCTION Comprehensive geriatric assessment (CGA) is used to thoroughly assess and identify complex healthcare problems among older adults. However, administration of CGA is time-consuming and labor intensive. A simple screening tool with the mnemonic "FIND-NEEDS" was developed to quickly identify common geriatric conditions. The present study was to evaluate the clinimetric properties of the FIND-NEEDS. METHODS The participants comprised first-visiting older adults aged 65 years and above (and who were able to communicate by themselves or with the help of a caregiver) who were assessed (October to December, 2021) using the FIND-NEEDS and CGA at geriatric outpatient clinics of a tertiary, referred medical center. The FIND-NEEDS was examined for its criterion-related validity and compared with the CGA results. Two types of scoring (summed score and binary score) of FIND-NEEDS and CGA were analyzed using Spearman correlation, sensitivity and specificity, and area under receiver operating characteristic curve (AUC). RESULTS The mean age of the 114 outpatients was 78.3 ± 7.6 years, and 79 (69.3%) were female. The internal consistency was excellent when using all FIND-NEEDS items, and was acceptable when using domain scores. Exploratory factor analysis showed that most of the FIND-NEEDS domain scores had factor loadings higher than 0.3. Intercorrelations of binary scores between domains of FIND-NEEDS and CGA showed most domains were moderately correlated. The overall correlation of summed scores between FIND-NEEDS and CGA was high. The FIND-NEEDS summed score was moderately correlated with CGA score (r = 0.494; p < 0.001), and the binary score showed excellent correlation (r = 0.944; p < 0.001). When using the CGA score as the gold standard, the FIND-NEEDS showed excellent AUC (0.950), sensitivity (1.00), and specificity (0.90). DISCUSSION/CONCLUSION The present study demonstrated that the FIND-NEEDS had acceptable clinimetric properties to screen for geriatric problems among older adults. Further in-depth assessment and care plan can then be conducted afterwards.
Collapse
Affiliation(s)
- Chia-Ming Chang
- Department of Geriatrics and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chung-Ying Lin
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Biostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Fang-Wen -Hu
- School of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ying-Wei Wang
- Health Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan
- Department of Medicine, Tzu Chi University, HuaLien, Taiwan
| | - Chi-Chang Huang
- Department of Geriatrics and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Tai Lo
- Department of Geriatrics and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chien-Yuan Wu
- Health Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan
| | - Yuan-Fang Chung
- Health Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan
| | - Chiu-Chen Kang
- Health Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan
| | - Yi-Jung Chen
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yi-Ching Yang
- Department of Geriatrics and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Li-Fan Liu
- Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Mark D Griffiths
- International Gaming Research Unit, Psychology Department, Nottingham Trent University, Nottingham, UK
| | - Dai-Chan Lin
- Department of Geriatrics and Gerontology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Meng-Ru Shen
- Department of Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan
- Department of Pharmacology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| |
Collapse
|
3
|
Cilla F, Sabione I, D’Amelio P. Risk Factors for Early Hospital Readmission in Geriatric Patients: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1674. [PMID: 36767038 PMCID: PMC9914102 DOI: 10.3390/ijerph20031674] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/09/2023] [Accepted: 01/16/2023] [Indexed: 06/18/2023]
Abstract
The number of older patients is constantly growing, and early hospital readmissions in this population represent a major problem from a health, social and economic point of view. Furthermore, the early readmission rate is often used as an indicator of the quality of care. We performed a systematic review of the literature to better understand the risk factors of early readmission (30 and 90 days) in the geriatric population and to update the existing evidence on this subject. The search was carried out on the MEDLINE, EMBASE and PsycINFO databases. Three independent reviewers assessed the potential inclusion of the studies, and then each study was independently assessed by two reviewers using Joanna Briggs Institute critical appraisal tools; any discrepancies were resolved by the third reviewer. Studies that included inpatients in surgical wards were excluded. Twenty-nine studies were included in the review. Risk factors of early readmission can be classified into socio-economic factors, factors relating to the patient's health characteristics, factors related to the use of the healthcare system and clinical factors. Among these risk factors, those linked to patient frailty play an important role, in particular malnutrition, reduced mobility, risk of falls, fatigue and functional dependence. The early identification of patients at higher risk of early readmission may allow for targeted interventions in view of discharge.
Collapse
|
4
|
Sun CH, Chou YY, Lee YS, Weng SC, Lin CF, Kuo FH, Hsu PS, Lin SY. Prediction of 30-Day Readmission in Hospitalized Older Adults Using Comprehensive Geriatric Assessment and LACE Index and HOSPITAL Score. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:348. [PMID: 36612671 PMCID: PMC9819393 DOI: 10.3390/ijerph20010348] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 12/07/2022] [Accepted: 12/21/2022] [Indexed: 06/17/2023]
Abstract
(1) Background: Elders have higher rates of rehospitalization, especially those with functional decline. We aimed to investigate potential predictors of 30-day readmission risk by comprehensive geriatric assessment (CGA) in hospitalized patients aged 65 years or older and to examine the predictive ability of the LACE index and HOSPITAL score in older patients with a combination of malnutrition and physical dysfunction. (2) Methods: We included patients admitted to a geriatric ward in a tertiary hospital from July 2012 to August 2018. CGA components including cognitive, functional, nutritional, and social parameters were assessed at admission and recorded, as well as clinical information. The association factors with 30-day hospital readmission were analyzed by multivariate logistic regression analysis. The predictive ability of the LACE and HOSPITAL score was assessed using receiver operator characteristic curve analysis. (3) Results: During the study period, 1509 patients admitted to a ward were recorded. Of these patients, 233 (15.4%) were readmitted within 30 days. Those who were readmitted presented with higher comorbidity numbers and poorer performance of CGA, including gait ability, activities of daily living (ADL), and nutritional status. Multivariate regression analysis showed that male gender and moderately impaired gait ability were independently correlated with 30-day hospital readmissions, while other components such as functional impairment (as ADL) and nutritional status were not associated with 30-day rehospitalization. The receiver operating characteristics for the LACE index and HOSPITAL score showed that both predicting scores performed poorly at predicting 30-day hospital readmission (C-statistic = 0.59) and did not perform better in any of the subgroups. (4) Conclusions: Our study showed that only some components of CGA, mobile disability, and gender were independently associated with increased risk of readmission. However, the LACE index and HOSPITAL score had a poor discriminating ability for predicting 30-day hospitalization in all and subgroup patients. Further identifiers are required to better estimate the 30-day readmission rates in this patient population.
Collapse
Affiliation(s)
- Chia-Hui Sun
- Department of Family Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan
| | - Yin-Yi Chou
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung 40705, Taiwan
- Division of Allergy, Immunology and Rheumatology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan
| | - Yu-Shan Lee
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung 40705, Taiwan
- Department of Neurology, Neurological Institute, Taichung Veterans General Hospital, Taichung 40705, Taiwan
| | - Shuo-Chun Weng
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung 40705, Taiwan
- Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan
| | - Cheng-Fu Lin
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung 40705, Taiwan
- Division of Occupational Medicine, Department of Emergency, Taichung Veterans General Hospital, Taichung 40705, Taiwan
| | - Fu-Hsuan Kuo
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung 40705, Taiwan
- Department of Neurology, Neurological Institute, Taichung Veterans General Hospital, Taichung 40705, Taiwan
| | - Pi-Shan Hsu
- Department of Family Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan
| | - Shih-Yi Lin
- Center for Geriatrics & Gerontology, Taichung Veterans General Hospital, Taichung 40705, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan
| |
Collapse
|
5
|
Shah M, Noronha V, Ramaswamy A, Gattani S, Mokal S, Joshi A, Patil V, Menon N, Banavali S, Badwe R, Prabhash K. G8 and VES-13 as screening tools for geriatric assessment and predictors of survival in older Indian patients with cancer. J Geriatr Oncol 2022; 13:720-730. [DOI: 10.1016/j.jgo.2022.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 12/29/2021] [Accepted: 02/23/2022] [Indexed: 11/28/2022]
|
6
|
Deschasse G, Bloch F, Drumez E, Charpentier A, Visade F, Delecluse C, Loggia G, Lescure P, Attier-Żmudka J, Bloch J, Gaxatte C, Van Den Berghe W, Puisieux F, Beuscart JB. Development of a predictive score for mortality at 3- and 12-month after discharge from an acute geriatric unit as a trigger for advanced care planning. J Gerontol A Biol Sci Med Sci 2021; 77:1665-1672. [PMID: 34375411 DOI: 10.1093/gerona/glab217] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND There is a need for a mortality score that can be used to trigger advanced care planning among older patients discharged from acute geriatric units (AGUs). OBJECTIVE To develop a prognostic score for 3- and 12-month mortality after discharge from an AGU, based on a comprehensive geriatric assessment, in-hospital events, and the exclusion of patients already receiving palliative care. METHODS DAMAGE is a French multicentre, prospective, cohort study. The broad inclusion criteria ensured that the cohort is representative of patients treated in an AGU. The DAMAGE participants underwent a comprehensive geriatric assessment, a daily clinical check-up, and follow-up visits 3 and 12 months after discharge. Multivariable logistic regression models were used to develop a prognostic score for the derivation and validation subsets. RESULTS 3509 patients were assessed and 3112 were included. The patient population was very older and frail or dependant, with a high proportion of deaths at 3 months (n=455, 14.8%) and at 12 months (n=1014, 33%). The score predicted an individual risk of mortality ranging from 1% to 80% at 3 months and between 5% and 93% at 12 months, with an area under the receiving operator characteristic curve in the validation cohort of 0.728 at 3 months and 0.733 at 12 months. CONCLUSIONS Our score predicted a broad range of risks of death after discharge from the AGU. Having this information at the time of hospital discharge might trigger a discussion on advanced care planning and end-of-life care with very old, frail patients.
Collapse
Affiliation(s)
- Guillaume Deschasse
- CHU Amiens-Picardie, Department of Geriatrics, Amiens, France.,Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France
| | - Frédéric Bloch
- CHU Amiens-Picardie, Department of Geriatrics, Amiens, France
| | - Elodie Drumez
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.,CHU Lille, Department of Biostatistics, Lille, France
| | | | - Fabien Visade
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.,Lille Catholic Hospitals, Geriatrics Department, Lille, France
| | | | - Gilles Loggia
- Normandie Univ, UNICAEN, INSERM, COMETE, Caen, France.,Department of Geriatrics, Normandie Univ, UNICAEN, CHU de Caen Normandie, Caen, France
| | - Pascale Lescure
- Department of Geriatrics, Normandie Univ, UNICAEN, CHU de Caen Normandie, Caen, France
| | - Jadwiga Attier-Żmudka
- Geriatric department, General Hospital of Saint-Quentin, Saint-Quentin, France.,CHIMERE EA 7516 team research, Jules Verne University, Amiens, France
| | | | | | | | | | - Jean-Baptiste Beuscart
- Univ. Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France.,CHU Lille, Department of Geriatrics, Lille, France
| |
Collapse
|