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1.
J Am Geriatr Soc ; 69(7): 1993-1999, 2021 07.
Article in English | MEDLINE | ID: mdl-33826150

ABSTRACT

OBJECTIVES/BACKGROUND: The Geriatric Surgery Verification (GSV) Program promotes clinical standards aimed to optimize the quality of surgical care delivered to older adults. The purpose of this study was to determine if preliminary implementation of the GSV Program standards improves surgical outcomes. DESIGN: Prospective study with cohort matching. SETTING: Data from a single institution compared with a national data set cohort. PARTICIPANTS: All patients aged ≥75 years undergoing inpatient operations between January 2018 and December 2019 were included. Cohort matching by age and procedure code was performed using a national data set. MEASUREMENTS: Baseline pre- and intraoperative characteristics prospectively recorded using Veterans Affairs Surgical Quality Improvement Program (VASQIP) variable definitions. Postoperative outcomes were recorded including complications as defined by VASQIP, 30-day mortality, and length of stay. RESULTS: A total of 162 patients participated in the GSV program, and 308 patients comprised the matched comparison group. There was no difference in postoperative occurrence of one or more complications (p = 0.81) or 30-day mortality (p = 0.61). Patients cared for by the GSV Program had a reduced postoperative length of stay (median 4 days [range 1,31] vs. 5 days [range 1,86]; p < 0.01; and mean 5.4 ± 4.8 vs. 8.8 ± 11.8 days; p < 0.01) compared with the matched cohort. In a multivariable regression model, the GSV Program's reduced length of stay was independent of other associated covariates including age, operative time, and comorbidities (p < 0.01). CONCLUSION: Preliminary implementation of the GSV Program standards reduces length of stay in older adults undergoing inpatient operations. This finding demonstrates both the clinical and financial value of the GSV Program.


Subject(s)
Geriatric Assessment/statistics & numerical data , Health Services for the Aged/statistics & numerical data , Inpatients/statistics & numerical data , Length of Stay/statistics & numerical data , Surgical Clearance/statistics & numerical data , Aged , Aged, 80 and over , Female , Health Plan Implementation , Health Services for the Aged/standards , Humans , Male , Postoperative Period , Preliminary Data , Program Evaluation , Prospective Studies , Quality Improvement , Surgical Clearance/standards , Surgical Procedures, Operative , United States , United States Department of Veterans Affairs
2.
Mil Med ; 182(3): e1704-e1708, 2017 03.
Article in English | MEDLINE | ID: mdl-28290946

ABSTRACT

BACKGROUND: Historically, disease and nonbattle injuries (DNBI) have caused more casualties during military operations than enemy combatants. Recent deployments to U.S. Central Commands (USCENTCOM) area of operation (AOR) have demonstrated similar outcomes. Intuitively, appropriate medical standards for our deploying Soldiers should result in no greater redeployments rates for those Soldiers who are waived for various medical conditions. However, no formal study has been published on redeployment rates of Soldiers with medical deployment waivers. The objective of this report was to evaluate the redeployment rates of Soldiers with and without medical waivers. METHODS: A matched retrospective cohort study design was used in this study. Data were obtained from USCENTCOM, Army Central Command, Transportation Command, and the Armed Forces Health Surveillance Center. All U.S. Soldiers deploying to USCENTCOM's AOR with a medical deployment waiver during the calendar years of 2008-2013 were eligible for inclusion into the exposure group of this study. Soldiers with a medical deployment waiver were matched 1:5 to Soldiers without a medical deployment waiver. The Soldiers with a medical deployment waiver and their matched counterparts were then subdivided into 5 strata on the basis of their diagnosis. A McNemar's χ2 test was performed to calculate risk ratios (RRs) per strata and for the group as a whole. RESULTS: The overall risk of being medically evacuated because of DNBI for all medical deployment waivers was an RR of 2.03 (CI: 1.74, 2.36). The greatest risk of being medically evacuated because of DNBI was from the group of Soldiers on a waiver for neurological conditions with an RR of 3.81 (CI: 1.99, 7.30). The RR of medical evacuation because of DNBI was increased and statistically significant for all strata (p < 0.05). CONCLUSION: There is a statistically significant increased RR of Soldiers with a Modification of the Operational Order waiver being medically redeployed for a DNBI reason from USCENTCOM's AOR from 2008 to 2013 compared with their matched peers without a waiver. The results of this study provide Commanders with additional information when making decisions regarding Soldier deployment.


Subject(s)
Military Personnel/statistics & numerical data , Personnel Selection/statistics & numerical data , Surgical Clearance/statistics & numerical data , Warfare , Adolescent , Adult , Cohort Studies , Female , Humans , Incidence , Iraq War, 2003-2011 , Male , Odds Ratio , Personnel Selection/methods , Retrospective Studies , Risk Factors , Surgical Clearance/methods , Travel/statistics & numerical data
3.
Rev. Hosp. Ital. B. Aires (2004) ; 36(3): 112-118, sept. 2016. graf, ilus
Article in Spanish | LILACS | ID: biblio-1147010

ABSTRACT

La edad está asociada con un aumento de la prevalencia de múltiples enfermedades y también con un deterioro de la reserva funcional y fisiológica. Los pacientes adultos mayores tienen un riesgo aumentado para el desarrollo de complicaciones frente a cirugías y diversas prácticas oncológicas. Los procesos de toma de decisiones en muchos casos son complejos, y la detección de toda esta comorbilidad geriátrica no está contemplada en muchos de los modelos clásicos para predicción de riesgo. En este artículo se describe una herramienta de evaluación geriátrica integral dirigida a la detección de riesgos para prácticas y procedimientos (DRIPP) en el adulto mayor, que fue desarrollada y se utiliza en el ámbito del Hospital Italiano de Buenos Aires. El objetivo de DRIPP es la detección de factores de riesgo clínicos y geriátricos asociados con malos resultados, a partir del cual se generan recomendaciones específicas de manejo, que aportan mayor información para el buen desarrollo del proceso de consentimiento informado y la toma de decisiones. Su integración transversal y longitudinal con las diferentes disciplinas e instancias para el seguimiento del paciente es una característica esencial que se traduce en ventajas asistenciales y académicas. (AU)


Aging is associated with an increased prevalence of multiple diseases, and also with decline in functional and physiologic reserve. Elderly patients have an increased risk to develop complications after surgeries and various oncological interventions. Decision-making processes are complex in several cases, and detection of all this geriatric comorbidity is not covered by many of the classic models for risk prediction. This article describes a comprehensive geriatric assessment tool for detection of risks for practices and procedures (DRIPP) in the elderly, which was developed and is used in the setting of Hospital Italiano de Buenos Aires. The aim of DRIPP is the systematic detection of clinical and geriatric risk factors associated with poor outcomes, and from which specific management recommendations are generated, as well as provides more information for the proper development of the informed consent and decision making processes. The transverse and longitudinal integration with different disciplines and instances for patient's follow up, are an essential feature, resulting in healthcare and academic advantages. (AU)


Subject(s)
Humans , Male , Female , Aged , Aged, 80 and over , Geriatric Assessment/methods , Decision Support Techniques , Argentina , Comorbidity , Geriatric Assessment/statistics & numerical data , Population Dynamics/statistics & numerical data , Prevalence , Frail Elderly/statistics & numerical data , Age Factors , Aftercare/methods , Aftercare/statistics & numerical data , Surgical Clearance/methods , Surgical Clearance/statistics & numerical data , Clinical Decision Rules , Informed Consent
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