Conectar
by Siting Chen, Corey L. Nagel, Ruotong Liu, Anda Botoseneanu, Heather G. Allore, Jason T. Newsom, Stephen Thielke, Jeffrey Kaye, Ana R. Quiñones
IntroductionMultimorbidity may confer higher risk for cognitive decline than any single constituent disease. This study aims to identify distinct trajectories of cognitive impairment probability among middle-aged and older adults, and to assess the effect of changes in mental-somatic multimorbidity on these distinct trajectories.
MethodsData from the Health and Retirement Study (1998–2016) were employed to estimate group-based trajectory models identifying distinct trajectories of cognitive impairment probability. Four time-varying mental-somatic multimorbidity combinations (somatic, stroke, depressive, stroke and depressive) were examined for their association with observed trajectories of cognitive impairment probability with age. Multinomial logistic regression analysis was conducted to quantify the association of sociodemographic and health-related factors with trajectory group membership.
ResultsRespondents (N = 20,070) had a mean age of 61.0 years (SD = 8.7) at baseline. Three distinct cognitive trajectories were identified using group-based trajectory modelling: (1) Low risk with late-life increase (62.6%), (2) Low initial risk with rapid increase (25.7%), and (3) High risk (11.7%). For adults following along Low risk with late-life increase, the odds of cognitive impairment for stroke and depressive multimorbidity (OR:3.92, 95%CI:2.91,5.28) were nearly two times higher than either stroke multimorbidity (OR:2.06, 95%CI:1.75,2.43) or depressive multimorbidity (OR:2.03, 95%CI:1.71,2.41). The odds of cognitive impairment for stroke and depressive multimorbidity in Low initial risk with rapid increase or High risk (OR:4.31, 95%CI:3.50,5.31; OR:3.43, 95%CI:2.07,5.66, respectively) were moderately higher than stroke multimorbidity (OR:2.71, 95%CI:2.35, 3.13; OR: 3.23, 95%CI:2.16, 4.81, respectively). In the multinomial logistic regression model, non-Hispanic Black and Hispanic respondents had higher odds of being in Low initial risk with rapid increase and High risk relative to non-Hispanic White adults.
ConclusionsThese findings show that depressive and stroke multimorbidity combinations have the greatest association with rapid cognitive declines and their prevention may postpone these declines, especially in socially disadvantaged and minoritized groups.
To assess the prognostic accuracy of the surprise question (SQ) when used by nurses working in hospital wards to determine 1-year mortality in acutely hospitalised older patients.
The predictive accuracy of the SQ, when used by general nurses caring for older hospitalised patients, has not been comprehensively studied.
A prospective cohort study.
This cohort study recruited consecutive 10,139 older patients (aged ≥65 years) who were admitted to Taipei City Hospital and were evaluated for the needs of palliative care in 2015. All patients were followed up for 12 months or until their death. The c-statistic value was calculated to indicate the predictive accuracy of the SQ and Palliative Care Screening Tool (PCST).
Of all participants, 18.8% and 18.6% had a SQ response of ‘no’ and a PCST score ≥4, respectively. After controlling for other covariates, an SQ response of ‘no’ (adjusted hazard ratio [aHR], 2.05; 95% confidence interval [CI], 1.83–2.31) and a PCST score ≥4 (AHR = 1.50; 95% CI: 1.29–1.75) were found to be the independent predictors for patients' 12-month mortality. The C-statistic values of the SQ and the PCST at recognising patients in their last year of life were .663 and .670, respectively. Moreover, there was moderate concordance (k = .44) between the SQ and the PCST in predicting 12-month mortality.
SQ response of ‘no’ and a PCST score ≥4 were independent predictors of 12-month mortality in older patients.
The SQ, when used by nurses working in hospital wards, is effective in identifying older patients nearing the end of life, as well as in providing advance care planning for patients.
Patients' palliative care needs at admission were assessed by general nurses using the SQ and PCST.
Providing a favourable practice environment has been regarded as an essential to improve the job outcomes of newly graduated nurses (NGNs). However, little is known about how and when NGNs can best utilize their practice environment to produce optimal job outcomes.
The aim of this study, which is based on the Conservation of Resources Theory and the Social Cognitive Model of Career Self-Management, is to investigate whether NGNs who have a higher level of personal growth initiative are more likely to benefit from their practice environment and achieve better job outcomes by increasing their occupational self-efficacy.
A cross-sectional study.
From 1 September 2022, to 30 September 2022, 279 NGNs from five Chinese state-owned hospitals were recruited for this study. The participants completed measures of practice environment, personal growth initiative, occupational self-efficacy, job stress, job satisfaction, turnover intention and quality of care. A descriptive analysis and a moderated mediation model were computed. Reporting adhered to the STROBE statement.
The influence of the practice environment on job outcomes was significantly mediated by occupational self-efficacy, with personal growth initiative acting as a moderator of this mediation effect.
NGNs who exhibited a higher degree of personal growth initiative were more likely to derive benefits from their practice environment and attain positive job outcomes by enhancing their occupational self-efficacy. To boost NGNs' occupational self-efficacy and achieve optimal job outcomes, hospital administrators may not only provide a supportive practice environment for them but also conduct interventions that promote their personal growth initiative.
This study was designed to examine the psychosocial factors associated with NGNs' job outcomes. The study was not conducted using suggestions from the patient groups or the public.
Our findings indicate that favourable practise contexts may not always benefit the nursing job outcome if NGNs do not exhibit a high level of personal growth initiative and produce increased occupational self-efficacy. Therefore, hospital administrators should consider implementing an intervention to improve the personal growth initiative of NGNs so that they can take full advantage of the practice environment and gain resources at work to create optimal job outcomes.
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