Dataset Information

Improving Quality of Life in Patients at Risk for Post-Intensive Care Syndrome.

ABSTRACT: Objective:To improve quality of life (QOL) in patients at risk for post-intensive care syndrome (PICS). Patients and Methods:We conducted a mixed-method, prospective, observational, pre-post interventional study in an adult medical and mixed medical/surgical/transplant intensive care unit (ICU) at a tertiary academic hospital. Preintervention included patients admitted from October 1 through October 31, 2016, and postintervention included patients admitted from January 15 through February 14, 2017. First, a multidisciplinary team of stakeholders identified barriers associated with decreased QOL in patients at risk for PICS. Next, interventions were designed and implemented. The effect of interventions was assessed using a mixed-method analysis. The qualitative analysis used a modified grounded theory approach. The quantitative analysis included assessment of preexisting symptoms and risk factors associated with PICS. The 36-Item Short-Form Health Status Survey (SF-36), which surveys physical and mental composite scores, was used to assess QOL. Results:Barriers identified were lack of awareness and understanding of PICS. Interventions included educational videos, paper and online education and treatment materials, and online and in-person support groups for education and treatment. After interventions, the qualitative analysis found that patients who participated in the interventions after hospital discharge showed improved QOL, whereas education during hospitalization alone was not effective. The quantitative analysis did not find improvement in QOL, as defined by SF-36 physical or mental composite scores. Conclusion:Interventions targeted to patients after hospitalization may offer subjective improvement in QOL for those at risk for PICS.

SUBMITTER: Daniels LM

PROVIDER: S-EPMC6260497 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Improving Quality of Life in Patients at Risk for Post-Intensive Care Syndrome.

Daniels Lisa M LM Johnson Andrea B AB Cornelius Patrick J PJ Bowron Catherine C Lehnertz Andrea A Moore Mitch M Shen YongChun Y Schulte Philip J PJ Pendegraft Richard S RS Hall Kristin R KR Bauer Philippe R PR

Mayo Clinic proceedings. Innovations, quality & outcomes 20181126 4

<h4>Objective</h4>To improve quality of life (QOL) in patients at risk for post-intensive care syndrome (PICS).<h4>Patients and methods</h4>We conducted a mixed-method, prospective, observational, pre-post interventional study in an adult medical and mixed medical/surgical/transplant intensive care unit (ICU) at a tertiary academic hospital. Preintervention included patients admitted from October 1 through October 31, 2016, and postintervention included patients admitted from January 15 through ...[more]

PMID: 30560238

Similar Datasets

Project description:BackgroundMany studies have compared quality of life of post-intensive care syndrome (PICS) patients with age-matched population-based controls. Many studies on PICS used the 36-item Short Form (SF-36) health survey questionnaire version 2, but lack the data for SF-36 values before and after intensive care unit (ICU) admission. Thus, clinically important changes in the parameters of SF-36 are unknown. Therefore, we determined the frequency of co-occurrence of PICS impairments at 6 months after ICU admission. We also evaluated the changes in SF-36 subscales and interpreted the patients' subjective significance of impairment.MethodsA prospective, multicenter, observational cohort study was conducted in 16 ICUs across 14 hospitals in Japan. Adult ICU patients expected to receive mechanical ventilation for > 48 h were enrolled, and their 6-month outcome was assessed using the questionnaires. PICS definition was based on the physical status, indicated by the change in SF-36 physical component score (PCS) ≥ 10 points; mental status, indicated by the change in SF-36 mental component score (MCS) ≥ 10 points; and cognitive function, indicated by the worsening of Short-Memory Questionnaire (SMQ) score and SMQ score at 6 months < 40. Multivariate logistic regression model was used to identify the factors associated with PICS occurrence. The patients' subjective significance of physical and mental symptoms was assessed using the 7-scale Global Assessment Rating to evaluate minimal clinically important difference (MCID).ResultsAmong 192 patients, 48 (25%) died at 6 months. Among the survivors at 6 months, 96 patients responded to the questionnaire; ≥ 1 PICS impairment occurred in 61 (63.5%) patients, and ≥ 2 occurred in 17 (17.8%) patients. Physical, mental, and cognitive impairments occurred in 32.3%, 14.6% and 37.5% patients, respectively. Population with only mandatory education was associated with PICS occurrence (odds ratio: 4.0, 95% CI 1.1-18.8, P = 0.029). The MCID of PCS and MCS scores was 6.5 and 8.0, respectively.ConclusionsAmong the survivors who received mechanical ventilation, 64% had PICS at 6 months; co-occurrence of PICS impairments occurred in 20%. PICS was associated with population with only mandatory education. Future studies elucidating the MCID of SF-36 scores among ICU patients and standardizing the PICS definition are required. Trial registration UMIN000034072.

Project description:INTRODUCTION: Acute kidney injury (AKI) has high incidence among the critically ill and associates with dismal outcome. Not only the long-term survival, but also the quality of life (QOL) of patients with AKI is relevant due to substantial burden of care regarding these patients. We aimed to study the long-term outcome and QOL of patients with AKI treated in intensive care units. METHODS: We conducted a predefined six-month follow-up of adult intensive care unit (ICU) patients from the prospective, observational, multi-centre FINNAKI study. We evaluated the QOL of survivors with the EuroQol (EQ-5D) questionnaire. We included all participating sites with at least 70% rate of QOL measurements in the analysis. RESULTS: Of the 1,568 study patients, 635 (40.5%, 95% confidence interval (CI) 38.0-43.0%) had AKI according to the Kidney Disease Improving Global Outcomes (KDIGO) criteria. Of the 635 AKI patients, 224 (35.3%), as compared to 154/933 (16.5%) patients without AKI, died within six months. Of the 1,190 survivors, 959 (80.6%) answered the EQ-5D questionnaire at six months. The QOL (median with Interquartile range, IQR) measured with the EQ-5D index and compared to age- and sex-matched general population was: 0.676 (0.520-1.00) versus 0.826 (0.812-0.859) for AKI patients, and 0.690 (0.533-1.00) versus 0.845 (0.812-0.882) for patients without AKI (P?<0.001 in both). The EQ-5D at the time of ICU admission was available for 774 (80.7%) of the six-month respondents. We detected a mean increase of 0.017 for non-AKI and of 0.024 for AKI patients in the EQ-5D index (P?=?0.728). The EQ-5D visual analogue scores (median with IQR) of patients with AKI (70 (50-83)) and patients without AKI (75 (60-87)) were not different from the age- and sex-matched general population (69 (68-73) and 70 (68-77)). CONCLUSIONS: The health-related quality of life of patients with and without AKI was already lower on ICU admission than that of the age- and sex-matched general population, and did not change significantly during critical illness. Patients with and without AKI rate their subjective health to be as good as age and sex-matched general population despite statistically significantly lower QOL indexes measured by EQ-5D.

Project description:IntroductionWe wished to obtain the experiences felt by patients during their ICU stay using an original questionnaire and to correlate the memories of those experiences with health-related quality of life (HR-QOL).MethodsWe conducted a prospective study in 10 Portuguese intensive care units (ICUs). Six months after ICU discharge, an original questionnaire on experiences of patients during their ICU stay, the recollection questionnaire, was delivered. HR-QOL was evaluated simultaneously, with the EQ-5D questionnaire. Between 1 September 2002 and 31 March 2003 1433 adult patients were admitted. ICU and hospital mortalities were 21% and 28%, respectively. Six months after ICU discharge, 464 patients completed the recollection questionnaire.ResultsThirty-eight percent of the patients stated they did not remember any moment of their ICU stay. The ICU environment was described as friendly and calm by 93% of the patients. Sleep was described as being good and enough by 73%. The experiences reported as being more stressful were tracheal tube aspiration (81%), nose tube (75%), family worries (71%) and pain (64%). Of respondents, 51% experienced dreams and nightmares during their ICU stay; of these, 14% stated that those dreams and nightmares disturb their present daily life and they exhibit a worse HR-QOL. Forty-one percent of patients reported current sleep disturbances, 38% difficulties in concentrating in current daily activities and 36% difficulties in remembering recent events. More than half of the patients reported more fatigue than before the ICU stay. Multiple and linear regression analysis showed that older age, longer ICU stay, higher Simplified Acute Physiology Score II, non-scheduled surgery and multiple trauma diagnostic categories, present sleep disturbances, daily disturbances by dreams and nightmares, difficulties in concentrating and difficulties in remembering recent events were independent predictors of worse HR-QOL. Multicollinearity analysis showed that, with the exception of the correlation between admission diagnostic categories and length of ICU stay (0.47), all other correlations between the independent variables and coefficient estimates included in the regression models were weak (below 0.30).ConclusionThis study suggests that neuropsychological consequences of critical illness, in particular the recollection of ICU experiences, may influence subsequent HR-QOL.

Dataset Information

Improving Quality of Life in Patients at Risk for Post-Intensive Care Syndrome.

Publications

Improving Quality of Life in Patients at Risk for Post-Intensive Care Syndrome.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets