1.Association Between Family Functioning and Health-related Quality of Life in Stroke SurvivoreInformal Family Caregiver Dyads
Chia-Chi LI ; Su-Ju TSAI ; Jo-Ching TAI ; Tzu-Jung WU ; Shu-Mei TSAI ; Shu-Chuan KAO ; Hsiang-Chu PAI
Asian Nursing Research 2024;18(2):141-147
Purpose:
Stroke survivors and their informal family caregivers may share the impact of the disease, which may affect family functioning and quality of life (QoL) for both. This study compared the perceptions of stroke survivors and informal family caregivers regarding family functioning and QoL and examined the QoL of those reporting effective versus ineffective family functioning.
Methods:
A cross-sectional study design and convenience sampling were used. Stroke survivoreinformal family caregiver dyads were recruited from a medical university hospital. We assessed participants’ demographic and clinical variables, including disease severity, family functioning, and QoL. Independent t-test, paired t-test, Wilcoxon signed-rank test, and ManneWhitney U test were used to analyze the data.
Results:
Seventy-one stroke survivoreinformal family caregiver dyads participated in the current study. Most stroke survivors and informal family caregivers reported effective family functioning, with no significant differences. However, significant differences existed in the seven domains (physical functioning, role-physical, bodily pain, general health, vitality, social functioning, and role-emotional) of QoL, except emotional health. Stroke survivors reporting ineffective family functioning had a significantly lower mental component summary score, unlike informal family caregivers.
Conclusions
Our findings suggest that family functioning is crucial to ensure stroke survivors’ QoL, particularly regarding their mental health. Health professionals should prioritize mental health assessments and provide appropriate care interventions for stroke survivors in the first 1e6 months after stroke onset.
2.Self-Management Programs on eGFR, Depression, and Quality of Life among Patients with Chronic Kidney Disease: A Meta-Analysis.
Mei Chen LEE ; Shu Fang Vivienne WU ; Nan Chen HSIEH ; Juin Ming TSAI
Asian Nursing Research 2016;10(4):255-262
PURPOSE: Chronic kidney disease (CKD) is a condition characterized by the gradual loss of kidney function over time. Self-management programs have been widely applied to chronic disease education programs, which are designed to delay deteriorating kidney functions, preclude depression, and improve quality of life. This study aims to analyze effectiveness of self-management programs in bettering CKD patients' eGFR, mitigating depression symptoms and improving quality of life in randomized control or clinical trials. METHODS: Using key terms, a search was conducted in English-language, peer-reviewed journals on CKD that were published between 2002 and 2014 on databases including CINAHL, Cochrane Library, MEDLINE. The measurable variables included CKD patients' eGFR, depression, and quality of life. Random and fixed effects meta analysis were applied with standard error and correlation based measure of effect size. RESULTS: Eight studies met the inclusion criteria. A self-management program significantly impacted CKD patients' depression and mental quality-of-life dimensions, with an effect size of .29 [95% confidence interval (CI) (0.07, 0.53)] and −.42 [95% CI (−0.75, −0.10)]. However, the intervention of a self-management program had no significant effect on patients' eGFR as well as physical quality-of-life dimensions, with effect sizes of .06 [95% CI (−0.69, 0.81)] and −.16 [95% CI (−0.81, 0.50)]. CONCLUSIONS: Self-management programs of patients with chronic kidney disease can improve the depression and mental quality of life. Aside from providing more objective evidence-based results, this study provides a reference for clinical health care personnel who tend to patients with CKD.
Cognitive Therapy/methods
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Depressive Disorder/*etiology/therapy
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Glomerular Filtration Rate/*physiology
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Humans
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*Quality of Life
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Randomized Controlled Trials as Topic
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Renal Insufficiency, Chronic/physiopathology/psychology/*therapy
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Self Care/*methods
3.Multimorbidity Pattern and Risk for Mortality Among Patients With Dementia: A Nationwide Cohort Study Using Latent Class Analysis
Che-Sheng CHU ; Shu-Li CHENG ; Ya-Mei BAI ; Tung-Ping SU ; Shih-Jen TSAI ; Tzeng-Ji CHEN ; Fu-Chi YANG ; Mu-Hong CHEN ; Chih-Sung LIANG
Psychiatry Investigation 2023;20(9):861-869
Objective:
Individuals with dementia are at a substantially elevated risk for mortality; however, few studies have examined multimorbidity patterns and determined the inter-relationship between these comorbidities in predicting mortality risk.
Methods:
This is a prospective cohort study. Data from 6,556 patients who were diagnosed with dementia between 1997 and 2012 using the Taiwan National Health Insurance Research Database were analyzed. Latent class analysis was performed using 16 common chronic conditions to identify mortality risk among potentially different latent classes. Logistic regression was performed to determine the adjusted association of the determined latent classes with the 5-year mortality rate.
Results:
With adjustment for age, a three-class model was identified, with 42.7% of participants classified as “low comorbidity class (cluster 1)”, 44.2% as “cardiometabolic multimorbidity class (cluster 2)”, and 13.1% as “FRINGED class (cluster 3, characterized by FRacture, Infection, NasoGastric feeding, and bleEDing over upper gastrointestinal tract).” The incidence of 5-year mortality was 17.6% in cluster 1, 26.7% in cluster 2, and 59.6% in cluster 3. Compared with cluster 1, the odds ratio for mortality was 9.828 (95% confidence interval [CI]=6.708–14.401; p<0.001) in cluster 2 and 1.582 (95% CI=1.281–1.953; p<0.001) in cluster 3.
Conclusion
Among patients with dementia, the risk for 5-year mortality was highest in the subpopulation characterized by fracture, urinary and pulmonary infection, upper gastrointestinal bleeding, and nasogastric intubation, rather than cancer or cardiometabolic comorbidities. These findings may improve decision-making and advance care planning for patients with dementia.