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Objective: Loneliness is associated with adverse mental and physical health conditions and increased mortality. In this study, we identified significant factors associated with loneliness in middle-aged and older patients with breast cancer (BC). Methods: For this cross-sectional study, we enrolled 200 patients (aged from 20 to 60 years) with BC from two hospitals in Indonesia through convenience sampling. Demographic characteristics, distress symptoms (Symptom Distress Scale), social support (Multidimensional Scale of Perceived Social Support), frailty (Groningen Frailty Indicator), and loneliness (UCLA Loneliness Scale, version 3) were measured. Multivariate logistic regression was performed to identify significant factors associated with loneliness in our cohort. Results: Loneliness risk was negatively correlated with social support but positively correlated with unemployment and frailty. Thus, the patients received a high level of social support (odds ratio [OR]: 0.96; 95% confidence interval [CI]: 0.92-0.99) and had a low risk of severe loneliness. By contrast, patients who were unemployed (OR: 4.00; 95% CI: 1.65-9.66) and those who had frailty (OR: 5.79; 95% CI: 2.50-13.42) had an elevated risk of severe loneliness. Conclusions: Unemployment, social support, and frailty may significantly influence the risk of loneliness in patients with BC. Early and regular assessments of loneliness should be integrated in the care of these patients. Suitable strategies aimed at increasing social support and mitigating frailty may benefit middle-aged and older patients with BC, particularly unemployed patients, by reducing their risk of loneliness.
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BACKGROUND: Low-value care (LVC) is a critical issue in terms of patient safety and fiscal policy; however, little has been known in Asia. For the purpose of better understanding the extent of LVC on a national level, the utilization, costs, and associated characteristics of selected international recommendations were assessed in this study. METHODS: This retrospective cohort study used the National Health Insurance (NHI) claims data during 2013-2017 to evaluate the LVC utilization. Adult beneficiaries who enrolled in the NHI program and received at least one of the low-value services in hospitals were included. We measured seven procedures derived from the international recommendations at the hospital level, and a composite measure was created by summing the total utilization of selected services to determine the overall prevalence and corresponding cost. The generalized estimating equation (GEE) model was adopted to estimate the association. RESULTS: A total of 1 970 496 episodes of LVC was identified among 1 218 146 beneficiary-year observations and 2054 hospital-year observations. Overall, the utilization rate of the composite measure increased from 150.70 to 186.23 episodes per 10 000 beneficiaries with the growth in cost from US$ 5.40 to US$ 6.90 million. LVC utilization was proportional to the volume of outpatient visits and length of stay. Also, hospitals with a large volume of outpatient visits (adjusted odds ratio [aOR]: 95% CI, 2.10: 1.26 to 3.49 for Q2-Q3, 2.88: 1.45 to 5.75 for ≥Q3) and a higher proportion of older patients (aOR: 95% CI, 1.06: 1.02 to 1.11) were more likely to have high costs. CONCLUSION: The utilization and corresponding cost of LVC appeared to increase annually despite the relatively lower prevalence compared to other countries. Multicomponent interventions such as recommendations, de-implementation policies and payment reforms are considered effective ways to reduce LVC. Repeated measurements would be needed to evaluate the effectiveness of interventions.
Asunto(s)
Hospitales , Humanos , Estudios Retrospectivos , Femenino , Masculino , Persona de Mediana Edad , Adulto , Hospitales/estadística & datos numéricos , Anciano , Programas Nacionales de Salud/estadística & datos numéricos , Programas Nacionales de Salud/economíaRESUMEN
BACKGROUND AND OBJECTIVES: This study aimed to investigate the diagnostic accuracy of four questionnaire-based tools (i.e., the FRAIL scale, Groningen Frailty Indicator [GFI], Tilburg Frailty Indicator [TFI], and PRISMA-7) for screening frailty in older adults. RESEARCH DESIGN AND METHODS: The 4 databases comprising the Cumulative Index to Nursing and Allied Health Literature, Embase, PubMed, and ProQuest were searched from inception to June 20, 2023. Study quality comprising risks of bias and applicability was assessed via a QUADAS-2 questionnaire. A bivariate network meta-analysis model and Youden's index were performed to identify the optimal tool and cutoff points. RESULTS: In total, 20 studies comprising 13 for FRAIL, 7 for GFI, 6 for TFI, and 5 for PRISMA-7 were included. Regarding study quality appraisal, all studies had high risks of bias for study quality assessment domains. Values of the pooled sensitivity of the FRAIL scale, GFI, TFI, and PRISMA-7 were 0.58, 0.74, 0.66, and 0.73, respectively. Values of the pooled specificity of the FRAIL scale, GFI, TFI, and PRISMA-7 were 0.92, 0.77, 0.84, and 0.86, respectively. The Youden's index was obtained for the FRAIL scale with a cutoff of 2 points (Youden's indexâ =â 0.65), indicating that the FRAIL scale with a cutoff of 2 points was the optimal tool for frailty screening in older adults. DISCUSSION AND IMPLICATIONS: The FRAIL scale comprising 5 self-assessed items is a suitable tool for interview older adults for early frailty detection in community settings; it has the advantages of being short, simple, and easy to respond to.