Factors associated with loneliness in middle-aged and older patients with breast cancer.

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.

Diagnostic Accuracy of the FRAIL Scale, Groningen Frailty Indicator, Tilburg Frailty Indicator, and PRISMA-7 for Frailty Screening Among Older Adults in Community Settings: A Systematic Review and Network Meta-Analysis.

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 index = 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.

Iron deficiency in Taiwanese patients with heart failure and reduced ejection fraction.

BACKGROUND: Iron deficiency (ID) is a common comorbidity among patients with heart failure and reduced ejection fraction (HFrEF), and is associated with poorer outcomes independent of anemia. This study aimed to evaluate the prevalence and prognostic significance of ID in Taiwanese patients with HFrEF. METHODS: We included HFrEF patients from two multicenter cohorts at different periods. The multivariate Cox regression analysis was applied to assess the risk of outcomes associated with ID, accounting for the varying risk of death. RESULTS: Of the 3612 patients with HFrEF registered from 2013 to 2018, 665 patients (18.4%) had available baseline iron profile measurements. Of these, 290 patients (43.6%) were iron deficient; 20.2% had ID+/anemia+, 23.4% ID+/anemia-, 21.5% ID-/anemia+, and 34.9% ID-/anemia-. Regardless of anemia status, patients with coexisting ID had a higher risk than those without ID (all-cause mortality: 14.3 vs 9.5 per 100 patient-years, adjusted hazard ratio [HR] 1.33; 95% confidence interval [CI], 0.96-1.85; p = 0.091; cardiovascular mortality: 10.5 per 100 patient-years vs 6.1, adjusted HR 1.54 [95% CI, 1.03-2.30; p = 0.037]; cardiovascular mortality or first unplanned hospitalization for HF: 36.7 vs 19.7 per 100 patient-years, adjusted HR 1.57 [95% CI, 1.22-2.01; p < 0.001]). Among patients eligible for treatment in the IRONMAN trial design (43.9%), parenteral iron therapy was estimated to reduce heart failure hospitalizations and cardiovascular deaths by 13.7 per 100 patient-years. CONCLUSION: Iron profiles were tested in less than one-fifth of the Taiwanese HFrEF cohort. ID was present in 43.6% of tested patients and was independently associated with poor prognosis in these patients.

Symptom Clusters in Lymphoma Survivors Before, During, and After Chemotherapy: A Prospective Study 
.

OBJECTIVES: To explore symptom clusters (SCs) in lymphoma survivors before, during, and after chemotherapy. . SAMPLE & SETTING: 61 lymphoma survivors from a medical center in central Taiwan were enrolled in the study. . METHODS & VARIABLES: A prospective observational study design was adopted. The MD Anderson Symptom Inventory was used to measure symptoms. The 13 symptoms assessed by the MD Anderson Symptom Inventory were evaluated after diagnosis and before chemotherapy (T1), after the fourth cycle of chemotherapy (T2), and after completion of chemotherapy (T3). Data were analyzed using mean, frequency, and latent profile analysis. . RESULTS: Three SCs were identified at T1, four at T2, and three at T3. Fatigue was the predominant symptom in each SC for the participants over time. Fatigue, disturbed sleep, and numbness constituted an SC at T2 and T3. An SC consisting of multiple psychological symptoms was found only at T1. IMPLICATIONS FOR NURSING: This study describes methods for grouping SCs. An SC of fatigue, disturbed sleep, and numbness was identified at T2 and T3. By familiarizing themselves with this SC, clinicians can be attentive to patients' concurrent symptoms and implement early prevention measures and timely symptom management.

The determinants of health-related quality of life among patients with newly diagnosed lung cancer in Taiwan: A cross-sectional study.

BACKGROUND: Although considered one of the most important prognostic factors for lung cancer patients, the health-related quality of life (HRQOL) of the newly diagnosed lung cancer population remains scarcely focused on in the literature. Therefore, we aimed to identify the determinants of HRQOL among newly diagnosed lung cancer patients in Taiwan. METHODS: Two hundred and fifty patients newly diagnosed with lung cancer were recruited from a medical center in northern Taiwan through convenience sampling. Four structured questionnaires, including the Taiwanese version of the MD Anderson symptom inventory (MDASI-T), the Taiwanese version of the Pittsburgh Sleep Quality Index (PSQI-T), the International Physical Activity Questionnaire-Short Form (IPAQ-SF), and the World Health Organization Quality of Life-BREF (WHOQOL-BREF), were used to collect data. Further, a multivariate stepwise linear regression was conducted to determine the independent risk factors for HRQOL. A p value of less than 0.05 was considered statistically significant. RESULTS: The patients (mean age was 61.04 years, 51.2% male, 94.0% non-small-cell lung cancer, 56.4% stage IIIB-IV) had moderate levels of HRQOL among the physical, psychological, social, and environmental domains, as well as overall QOL. HRQOL was not correlated with married status, religion, and comorbidity. Gender, age, family income, smoking status, cancer stage, ECOG PS scores, PA, symptom burden (severity and interference), and PSQI global scores were correlated with HRQOL. Notably, symptom severity was the dominant negative predictor affecting the psychological and environmental domains of QOL (ß = -4.313 and -3.500, respectively), accounting for 23.2% and 14.6% of the variance, respectively. On the other hand, symptom interference was the dominant negative predictor affecting the physical and social domains of QOL, as well as overall QOL (ß = -3.592, -1.984, and -0.150, respectively), accounting for 44.4%, 15.0%, and 24.1% of the variance, respectively. CONCLUSION: Newly diagnosed lung cancer patients suffered symptom severity and interference that significantly impaired their HRQOL; particularly, symptom interference affected the physical domain of QOL. Healthcare professionals should pay more attention to cancer-related symptom severity, symptom interference, and HRQOL changes when caring for newly diagnosed lung cancer patients.

Predicting readmission due to severe hyperglycemia after a hyperglycemic crisis episode.

AIM: This study aimed to investigate the readmission pattern and risk factors for patients who experienced a hyperglycemic crisis. METHODS: Patients admitted to MacKay Memorial Hospital for diabetic ketoacidosis (DKA) or hyperglycemic hyperosmolar state (HHS) between January 2016 and April 2019 were studied. The timing of the first readmission for hyperglycemia and other causes was recorded. Kaplan-Meier analysis was used to compare patients with hyperglycemia and all-cause readmissions. Cox regression was used to identify independent predictors for hyperglycemia and all-cause readmission post-discharge. RESULTS: The study cohort included 410 patients, and 15.3 % and 46.3 % of them had hyperglycemia and all-cause readmissions, respectively. The DKA and HHS group showed a similar incidence for hyperglycemia, with the latter group showing a higher incidence of all-cause readmissions. The significant predictors of hyperglycemia readmissions included young age, smoking, hypoglycemia, higher effective osmolality, and hyperthyroidism in the DKA group and higher glycated hemoglobin level in the HHS group. CONCLUSIONS: Patients who experienced DKA and HHS had similar hyperglycemia readmission rates; however, predictors in the DKA group were not applicable to the HHS group. Designing different strategies for different types of hyperglycemic crisis is necessary for preventing readmission.

Trajectories of symptom severity predicts quality of life change in newly diagnosis lymphoma survivors: An initial study.

OBJECTIVE: This study aimed to explore the subgroups of symptom severity and impact of their trajectories on quality of life in lymphoma survivors. METHODS: Secondary data were analysed from a prospective study with four-time measures: before treatment (T1), during treatment (T2), treatment completion (T3) and 10 weeks after treatment (T4). Data were analysed using descriptive statistics, group-based trajectory model and generalised estimation equation. RESULTS: Fifty nine of 61 participants completed three-time measure (mean age = 60.43 years, male-predominant). The changes in symptom severity over time were divided into two subgroups: slight-stable group (n = 54, 89%) and mild-fickle group (n = 7, 11%). Pain, tiredness and sleeping trouble were the predominant symptoms. The quality of life change in the slight-stable group was significantly better than that of the mild-fickle group (B = 13.35, SE = 3.53, p < 0.001). The overall quality of life at T2, T3 and T4 was better than it was at T1. CONCLUSION: The different trajectories of symptom severity significantly influenced quality of life changes in lymphoma survivors. Healthcare providers must be aware that there is a group of lymphoma survivors with relatively severe symptoms when newly diagnosed, compared to the opposite. More attention must be paid to this group, in addition to providing in-time symptom management.

Different item characteristics of a mild cognitive impairment screening tool in the community-based Yilan Study: application of the item response theory.

BACKGROUND: This study aimed to use item response theory (IRT) to explore the item-by-item characteristics of a mild cognitive impairment (MCI) screening tool using community-based data. METHODS: The Yilan Study is a community-based study that has been conducted since 2012. Until March 2020, 2230 older adults were interviewed according to the household registration data. IRT was applied to determine the item-by-item distinctive characteristics of the Eight-item Interview to Differentiate Aging and Dementia (AD8). RESULTS: The MCI characteristics in the AD8 items have varying degrees of item response threshold. In all circumstances, item AD8-8, which is related to self-rated memory ability, had a low item response threshold. AD8-5 and AD8-7, which are related to the comparisons of time-oriented functional status, had slightly lower thresholds, especially for those aged 65-79 years or without activity limitations. Conversely, AD8-1, AD8-2, AD8-3, AD8-4, and AD8-6 had similar item response thresholds and discriminative power; these items have more detailed functional descriptions or examples for illustration. CONCLUSIONS: Concise and understandable elements are often expected in community-based screening tools. For community-based health screening and population empowerment in the early detection of MCI, assessment tool items with detailed functional descriptions and examples for illustration have similar validities in most of the population. Items related to self-rated memory ability might be less valid. More examples may be needed for items constructed for comparing time-oriented functional status, especially in extremely old adults and individuals with activity limitations.

Applying classification and regression tree analysis to identify risks of developing sarcopenia in the older population.

BACKGROUND AND OBJECTIVE: Variations in the risk factors for sarcopenia can lead to differences in the likelihood of developing sarcopenia among older adults; however, few studies have explored the interactions among the risk factors. This study examined the interactions among risk factors and identified a discriminative pathway for groups at risk of sarcopenia in community-dwelling older adults. METHODS: A cross-sectional study was conducted between July and August 2019 to recruit 200 older adults from an outpatient department of a hospital providing care for older people. Data on various risk factors, namely demographics (age, gender, education, comorbidities, and body mass index [BMI]), dietary habits (weekly consumption of milk, coffee, and meat), lifestyle behaviours (vitamin D supplementation, smoking, drinking, and physical activity), and depression symptoms were collected. Sarcopenia was defined according to the Asian Working Group for Sarcopenia criteria. A classification and regression tree (CART) model was used to examine interactions among these factors and identify groups at risk of sarcopenia. FINDINGS: The prevalence of sarcopenia was 38.5%. The CART model identified two end groups at differential risks of sarcopenia, with a minimum of one and a maximum of three risk factors. In the first group, low BMI (<18.5 kg/m2 ) was a predominant risk factor for sarcopenia among older people. In the second group, older adults with a normal BMI, aged ≥68 years, and without a regular walking habit had a higher probability of developing sarcopenia than did their counterparts. CONCLUSIONS: The interactive effects among older age, BMI, and walking may cause different probabilities of developing sarcopenia in the older population. IMPLICATIONS FOR PRACTICE: Older adults with a low or normal BMI but without a regular walking habit could be a predominant risk group for sarcopenia. The appropriate maintenance of body weight and regular walking activity is suggested to prevent sarcopenia in community-dwelling older adults.

Evaluating the effectiveness of population-based breast cancer service screening: an analysis of parsimonious patient survival information with the time-varying Cox model.

BACKGROUND: This study is aimed at estimating the unbiased effectiveness of population-based breast cancer service screening based on case survival information alone rather than large-scale individual screening data pursuant to the intention-to-treat principle of a randomized-controlled trial. METHODS: A novel time-dependent switched design with two modalities of cancer detection (screen-detected vs clinically detected) was proposed to evaluate the effectiveness of breast cancer screening. We used data on 767 patients from Kopparberg in the Swedish Two-County trial and on 78 587 patients in the Taiwan population-based service screening. We estimated the relative rate of the screen-detected vs the clinically detected with adjustment for both truncation and lead-time biases. The absolute effectiveness in terms of the number needed to screen (NNS) for averting one death from breast cancer was estimated. RESULTS: The relative rate of effectiveness was estimated as 33%, which was consistent with the 37% reported from the original Swedish randomized-controlled trial. The corresponding estimate for the Taiwan screening programme was 42%, which was also very close to that estimated using individual screening history data (41%). Both relative estimates were further applied to yield 446 and 806 of NNS for averting one death from breast cancer for the corresponding two data sets. CONCLUSION: The proposed time-dependent switched design and analysis with two modalities of case survival information provides a very efficient means for estimating the unbiased estimates of relative and absolute effectiveness of population-based breast cancer service screening dispensing with a large amount of individual screening history data.

Cervical cancer screening behavior of African women: The Rosenstock health belief model assessment.

Our paper is a narrative synthesis of the health belief model (HBM), which was developed in the early 1950s by social psychologists Hochbaum, Rosenstock, and Kegels working in the US Public Health Services. The HBM has been adapted to explore various long- and short-term health behaviors. In this narrative synthesis, we provide the analysis of the utilization of HBM and cervical cancer screening in Africa from 2009 to 2017 and critically evaluate the HBM in the context of different African countries. We also elucidate cervical cancer screening behavior among women living in Africa through a compassionate approach. Our results provide insights into individuals' health-seeking behavior and their place of residence, which provide valuable evidence for the development of further preventative medicine.

Relationships of exercise timing with sleep, fatigue and rest-activity rhythms of lung cancer patients in Taiwan: An exploratory study.

OBJECTIVE: To explore the relationship of exercise timing (exercising close to bedtime, exercising in daylight and maintaining fixed exercise schedule) with sleep quality, fatigue and rest-activity rhythms among lung cancer patients in Taiwan. METHODS: Results from 43 lung cancer patients who were assigned and adhered to the exercise intervention in a 12-week randomised controlled trial were analysed. The MD Anderson Symptom Inventory and Pittsburgh Sleep Quality Index (PSQI) were administered. Actigraphs were used to assess rest-activity rhythms (in-bed less than out-of-bed dichotomy index, I < O) and objective sleep parameters, including total sleep time (TST) and sleep onset latency (SOL). RESULTS: Patients who exercised >4 hr before bedtime had significant improvement in fatigue (p < .0001), sleep quality (p = .012 for PSQI; p = .037 for TST; p = .017 for SOL) and rest-activity rhythms (p = .048 for I < O). Furthermore, patients who exercised with daylight exposure had a significant improvement in fatigue (p = .037) and sleep quality (p = .039 for PSQI). CONCLUSIONS: Exercising >4 hr before bedtime with daylight exposure is associated with improvement in rest-activity rhythms, sleep quality and fatigue in lung cancer patients. The causal relationship requires further investigation with experimental design.

Associations of dietary carbohydrate and salt consumption with esophageal cancer risk: a systematic review and meta-analysis of observational studies.

CONTEXT: Evidence has shown that essential nutrients are highly correlated with the occurrence of esophageal cancer (EC). However, findings from observational studies on the associations between dietary carbohydrate, salt consumption, and the risk of EC remain controversial. OBJECTIVE: The aim of this study was to conduct a systematic review and meta-analysis to confirm the associations of dietary carbohydrate and salt consumption with EC risk. DATA SOURCE: Various electronic databases (PubMed, MEDLINE, Embase, Google Scholar, Cochrane Library, Chinese Electronic Periodical Services, and China Knowledge Resource Integrated) were searched up until January 31, 2019. DATA EXTRACTION: Data related to patient characteristics and study characteristics were extracted by 2 independent reviewers. The risk ratio reported as relative risk (RR) or odds ratio (OR) was extracted, and random-effects models were performed to estimate the summary risk ratio. RESULTS: In total, 26 studies were included in this analysis, of which 12 studies, including 11 case-control studies and 1 cohort study, examined dietary carbohydrates, and 18 studies, including 16 case-control studies and 2 cohort studies, examined dietary salt. The pooled OR showed that dietary carbohydrate intake was inversely related to EC risk (OR = 0.62; 95% confidence interval [CI], 0.50-0.77), but positive correlations between dietary salt intake and the risk of EC were supported by the recruited case-control studies (OR = 1.97; 95% CI, 1.50-2.61) and cohort studies (RR = 1.04; 95% CI, 1.00-1.08). CONCLUSIONS: Salt is an essential nutrient for body functions and biochemical processes. Providing health education and management regarding proper use of salt in daily foods and labeling the amount of sodium in manufactured products to reduce the risk of developing EC should be more appropriately performed in the general population.

Better Self-report Health Status and Provider-Patient Communication in Dental Service Can Improve the Patient Experience: A Cross-year Comparison from the NHI Survey.

Several factors, including healthcare outcomes and quality, influence patients' expectations of healthcare services. Currently, as patients have more understanding about dental care services, patient satisfaction is essential for continually improving the services being provided. The purpose of this study is to analyze the multiyear annual National Health Insurance (NHI) patient experience survey in Taiwan to explore the factors associated with the satisfaction rate from 2012-2016. This study used the annual NHI survey to explore patients' experiences of receiving medical service in dental care from 2012 to 2016. There were over 40 major items in the survey each year; however, we only selected suitable items that followed the Andersen model. We ran a logistics regression testing the relationship between the covariates and the items related to satisfaction in outcomes in different years. Patients who received health education from a provider in most time, self-reported better health status, felt that cost of care was not expensive, did not wait too long for counseling time and found it easy to make an appointment, had two to ten times greater satisfaction in outcomes compared with those who did not (OR: 1.83-10.06). Individuals working in the healthcare industry should implement communication strategies to improve patients' experience in the care process by including easy-to-understand explanations or sharing decision-making with patients. Furthermore, in patient experience surveys in dental care, less attention should be paid to whether patients can provide meaningful quality measures and more attention to ways in which patient experiences can be improved. This can be achieved by providing easy-to-understand explanations, giving patients an opportunity to express their concerns, and by sharing decision-making with patients.

The effectiveness of a nurse-led exercise and health education informatics program on exercise capacity and quality of life among cancer survivors after esophagectomy: A randomized controlled trial.

BACKGROUND: Esophagectomy is the primary surgical treatment for esophageal cancer. However, patients often experience a decrease in physical activity, poor nutrition, and a reduction in quality of life following surgery. OBJECTIVES: The aim of this study was to examine the effects of an exercise and nursing education health informatics program on quality of life, exercise capacity, and nutrition among patients following esophagectomy for esophageal cancer. DESIGN: A randomized controlled trial. SETTINGS AND METHODS: Patients who had undergone an esophagectomy for cancer were recruited by purposive sampling from a medical center in Taiwan. Patients who met inclusion criteria and agreed to participate (N = 88) were randomly assigned to an exercise informatics program (intervention group, n = 44) or usual post-surgery care (control group, n = 44). Quality of life was assessed at baseline and 1, 3, and 6 months after discharge. Secondary outcomes of nutrition (albumin, body mass index), and exercise capacity (maximal oxygen uptake, the six-minute walking test) were conducted at baseline and 3 months following discharge. Differences in quality of life, nutrition and exercise capacity between the two groups were analyzed using generalized estimating equations. RESULTS: Analysis demonstrated significant improvements in outcome measures following hospital discharge for the intervention group compared to controls. Measures of quality of life were significantly better for the intervention group and varied with time following discharge. Functional scores for physical (1 and 3 months), role (1, 3, and 6 months), emotional (1 month), social (3 months) and global health (3 months) were significantly higher than controls. Cancer-related subscales improved for insomnia (1 and 3 months) and nausea/vomiting (3 and 6 months). Esophageal cancer-specific symptoms improved for dry mouth (1 month), dysphagia (3 months), and loss of taste (1 and 6 months). Three months following discharge, levels of albumin were significantly higher for the intervention group compared to controls (ß=0.32, 95% CI 0.09, 0.54, p < .01); body mass index did not differ between groups. Exercise capacity was also significantly better; the intervention group had higher maximal oxygen consumption (ß=2.61, 95% CI 1.54, 3.69, p < .001) and greater distance on the six-minute walking test (ß=83.30, 95% CI 52.60, 113.99, p < .001). CONCLUSION: The intervention group experienced significant improvements in nutrition, exercise capacity, and variables related to quality of life. These findings suggest a nurse-led exercise and health education informatics program should be implemented for survivors of esophagectomy prior to hospital discharge.

Assessment of patient experience profiles and satisfaction with expectations of treatment effects by using latent class analysis based on a national patient experience survey in Taiwan.

OBJECTIVES: Health system responsiveness is a complicated issue that guides researchers wishing to design an efficient methodology for enhancing understanding of perspectives regarding healthcare systems. This study examined the relationship between patient experience profiles and satisfaction with expectations of treatment effects. DESIGN: This was a cross-sectional study. We used eight items obtained from latent class analysis to develop patient experience profiles. SETTING: Primary care users in Taiwan. PARTICIPANTS: This study conducted an annual National Health Insurance survey in Taiwan and sampled from those who had experience with the medical service in primary care clinics in 2015. PRIMARY OUTCOME MEASURE: Respondents were asked to indicate the extent of their satisfaction with their expectation of treatment effects (or symptom improvement). RESULTS: The proportions of participants in groups 1-4 were 34%, 24%, 29% and 12%, respectively. Patients in good health were more satisfied with their expectations of treatment effects (OR 1.639, p=0.007). Furthermore, group 4 (-eAll) were less satisfied with their expectations of treatment effects than those in the other three groups (ORs: group 1 (+eAll): 9.81, group 2 (-CwR): 4.14 and group 3 (-CnR): 4.20). CONCLUSIONS: The results revealed that experiences of poor accessibility and physician-patient relationships affected the patients' expectations. Therefore, greater accessibility and more positive physician-patient relationships could lead to higher patient satisfaction with their expectations of treatment effects. Furthermore, the findings could assist authorities in targeting specific patients, with the objective of improving their healthcare service experience. They could also serve as a mechanism for improving the quality of healthcare services and increase accountability in healthcare practices.

Using a Patient-Centered Approach to Identify Symptom Clusters Among Adolescents With Cancer.

BACKGROUND: Prior studies identifying symptom clusters used a symptom-centered approach to demonstrate the relationship among symptoms. Latent profile analysis (LPA) is a patient-centered approach that classifies individuals from a heterogeneous population into homogeneous subgroups, helping prioritize interventions to focus on clusters with the most severe symptom burden. OBJECTIVE: The aim of this study was to use LPA to determine the best-fit models and to identify phenotypes of severe symptom distress profiles for adolescents with cancer who are undergoing treatment and in survivorship. METHODS: We used estimated means generated by the LPA to predict the probability of an individual symptom occurring across on- and off-treatment groups for 200 adolescents with cancer. RESULTS: The 3-profile solution was considered the best fit to the data for both on- and off-treatment groups. Adolescents on treatment and classified into the severe profile were most likely to report distress in appetite, fatigue, appearance, nausea, and concentration. Adolescents off treatment and classified into the severe profile were most likely to report distress in fatigue, pain frequency, and concentration. CONCLUSIONS: Latent profile analysis provided a cluster methodology that uncovered hidden profiles from observed symptoms. This made it possible to directly compare the phenotypes of severe profiles between different treatment statuses. IMPLICATIONS FOR PRACTICE: The co-occurring 13-item Symptom Distress Scale symptoms found in the severe symptom distress profiles could be used as items in a prespecified severe symptom distress cluster, helping evaluate a patient's risk of developing varying degrees of symptom distress.

Trajectories of caregiver burden and related factors in family caregivers of patients with lung cancer.

OBJECTIVE: This study aimed to (1) identify the changes of 5 domains of family caregiver (FC) burden, overall burden, and its subtrajectories when caring for newly diagnosed advanced lung cancer patients during the first 6 months following cancer diagnosis; and (2) identify the FC-related and patient-related factors most associated with the overall FC burden and each of its subtrajectories. METHODS: A total of 150 newly diagnosed advanced lung cancer patient-FC dyads were recruited from a Taiwanese medical center. The overall FC burden was evaluated 4 times: before treatment, and 1, 3, and 6 months after treatment. The potential subtrajectory of the caregiver burden was investigated by latent class growth analysis. The FC-related and patient-related factors having the greatest effect on the overall FC burden and its subtrajectories over time were identified by generalized estimating equations. RESULTS: The highest level of burden domain was "Impact on daily schedule" over time. Generally, most of the FC reported a moderate level of overall burden over the investigation period. Three subtrajectories of the overall FC burden over time (% caregivers) were identified: high burden (34.7%), moderate burden (56.0%), and low burden (9.3%), respectively. The self-efficacy of FC was the strongest factor related to the changes of the FC's burden and burden in each subtrajectory. CONCLUSION: The results support the existing and different types of subtrajectories of the FC's burden. Health care professionals should provide care based on those differences. Further research to test interventions which integrate those important factors related to FC's burden, particularly FC's self-efficacy, is strongly suggested.

Symptom Cluster Trajectories During Chemotherapy in Breast Cancer Outpatients.

CONTEXT: Breast cancer patients often experience multiple symptoms and substantial discomfort. Some symptoms may occur simultaneously and throughout the duration of chemotherapy treatment. OBJECTIVES: The aim of this study was to investigate symptom severity and symptom cluster trajectories during chemotherapy in outpatients with breast cancer in Taiwan. METHODS: This prospective, longitudinal, repeated measures study administered a standardized questionnaire (M. D. Anderson Symptom Inventory Taiwan version) to 103 breast cancer patients during each day of the third 21-day cycle of chemotherapy. Latent class growth analysis was performed to examine symptom cluster trajectories. RESULTS: Three symptom clusters were identified within the first 14 days of the 21-day chemotherapy cycle: the neurocognition cluster (pain, shortness of breath, vomiting, memory problems, and numbness/tingling) with a trajectory of Y = 2.09 - 0.11 (days), the emotion-nausea cluster (nausea, disturbed sleep, distress/upset, drowsiness, and sadness) with a trajectory ofY = 3.57 - 0.20 (days), and the fatigue-anorexia cluster (fatigue, lack of appetite, and dry mouth) with a trajectory of Y = 4.22 - 0.21 (days). The "fatigue-anorexia cluster" and "emotion-nausea cluster" peaked at moderate levels on chemotherapy days 3-5, and then gradually decreased to mild levels within the first 14 days of the 21-day chemotherapy cycle. CONCLUSION: Distinct symptom clusters were observed during the third cycle of chemotherapy. Systematic and ongoing evaluation of symptom cluster trajectories during cancer treatment is essential. Healthcare providers can use these findings to enhance communication with their breast cancer patients and to prioritize symptoms that require attention and intervention.

Evaluation of Pain Intensity Assessment Tools Among Elderly Patients With Cancer in Taiwan.

BACKGROUND: Effective pain management requires careful assessment of pain. Auditory, visual, cognitive, and motor impairments in elderly people may affect their ability to use pain assessment tools. OBJECTIVE: The aim of this study was to evaluate the reliability, validity, and no-response rate of pain scales among elderly patients with cancer pain, as well as patient preference for the scales. METHODS: A cross-sectional correlational design was used with a convenience sample of 73 elderly cancer patients recruited at a cancer-based hospital in southern Taiwan. Participants were asked to rate their pain by using a numeric rating scale (NRS-11), a facial pain scale (FPS), a verbal descriptor scale (VDS), and a mixed scale (consisting of NRS-11, FPS, and VDS) on 2 consecutive days. RESULTS: Test-retest reliability, as indicated by Spearman rank correlation coefficients for the 24-hour interval pain ratings, ranged from 0.426 to 0.683. The criterion-related validity of the scales was supported by significant Spearman rank-order correlation. The time taken to respond to the scales ranged from 40.3 to 16.2 seconds. The no-response rates for the scales decreased in the order NRS-11 > FPS > mixed scale > VDS. Patient preference for the scales decreased in the order mixed scale > VDS > NRS-11 > FPS. CONCLUSIONS: All 4 scales were reliable and valid for assessing cancer pain among elderly patients. IMPLICATIONS FOR PRACTICE: Because the no-response rates for the scales depended on educational level and cognitive function, nurses should exercise good judgment in choosing pain intensity assessment tools for use with elderly patients.