Different effects between the current capability of and changes in self-management strategies on improving health behavior and psychological health after 6 months: evidence from a prospective cohort study of patients with cancer.

PURPOSE: We aimed to examine different effects of the current capability of and changes in self-management strategies on improving health behavior and psychological health (satisfaction of life, depression, and anxiety) after 6 months in cancer patients. METHODS: A prospective cohort study was conducted, including 540 cancer patients. We measured cancer patients' self-management strategies' capability with Smart Management Strategies for Health (SMASH) Assessment Tool (SAT) baseline scores and changes with SMASH change scores based on a clinically meaningful 10% change of the scores. We conducted adjusted multivariate multiple logistic regression analyses using the stepwise selection method between SMASH baseline and health behavior, satisfaction with life (SWL), depression, and anxiety and between SMASH changes and health behavior, SWL, depression, and anxiety. RESULTS: 256 cancer patients completed both the first and second surveys. While various SMASH capabilities positively affected each health behavior, SWL, depression, and anxiety, the positive-reframing strategy at baseline only affected all health behavior, SWL, and depression. However, based on SMASH changes, using the positive-reframing strategy a lot for 6 months adversely affected some physical health behaviors' practice (balanced diet and stop smoking and drinking). Changes in the life value pursuing strategy only positively affected HB (proactive living) and anxiety. CONCLUSION: SMASH baseline and change scores were generally associated with practicing cancer patients' health behaviors, lower depression, and anxiety. However, it is necessary to consider that excessively using the positive-reframing strategy would interfere with practicing a balanced diet and stopping smoking and drinking behaviors.

Self-Management Strategy Clustering, Quality of Life, and Health Status in Cancer Patients Considering Cancer Stages.

BACKGROUND: In the cancer-care continuum, self-management can help cancer patients regardless of their treatment plan or cancer stage. However, research examining self-management strategy clusters considering cancer stages is lacking. Thus, we examined self-management strategy clusters considering cancer stages and the effects of self-management strategy clusters on quality of life (QoL) and overall health status. METHOD: A total of 256 patients who completed both baseline and second surveys for a 6-month period ultimately participated in this prospective cohort study. To identify the interrelationship between self-management strategies measured by the Smart management strategies for health assessment tool (SAT), we conducted cluster analysis using a principal component analysis in varimax rotation and the k-mean clustering method. We also performed multivariate-adjusted analyses in QoL and overall health status comparisons by dividing the cancer stage into early (I, II) and advanced (III, IV). RESULTS: All patients experienced two domains of self-management strategies concurrently. However, self-management strategy clusters differed by cancer stage, and the effect of self-management strategy clusters on quality of life and overall health status also differed. Self-management strategy clusters effectively improved the quality of life and overall health status of the entire cohort of patients, even in patients with advanced-stage cancer. CONCLUSION: This study revealed that the pattern of using self-management strategies might differ by cancer stage. The strategy cluster positively affected QoL and overall health status in cancer patients. Identifying the self-management clusters of cancer patients with different cancer stages may have clinical implications for supporting their health management.

Importance of worthwhile life and social health as predictors of suicide ideation among cancer patients.

OBJECTIVE: We identify the most associative factors among existential well-being, health-related quality of life, and health behaviors' sub-factors for cancer patients' suicidal ideation (SI) to develop practical intervention tools for general cancer patients in South Korea. PARTICIPANTS: We surveyed 766 cancer patients from two hospitals in South Korea. The eligibility criteria were as follows: 18 years of age or older, diagnosed with cancer, aware of the stage, and capable of understanding the purpose of the study. METHODS: We performed a multidimensional multivariate analysis to find the factors that are most associated with SI for cancer patients. RESULTS: The results showed that life worthwhile (adjusted odds ratio (aOR), 3.946; 95% CI, 1.64-9.48), social functioning (aOR, 2.817; 95% CI, 1.19-6.65), and living with loved ones (aOR, 0.353; 95% CI, 0.15-0.84) were the most predictive factors for SI. CONCLUSION: To prevent SI in cancer patients, it might be necessary to help them feel that their lives are worthwhile while helping them maintain a high degree of social health. IMPLICATIONS FOR PSYCHOSOCIAL PROVIDERS OR POLICY: It is important to help cancer patients value their life and lead the high-quality social life to reduce their SI.

Efficacy of health coaching and a web-based program on physical activity, weight, and distress management among cancer survivors: A multi-centered randomised controlled trial.

OBJECTIVES: To investigate the efficacy of health coaching and a web-based program on survivor physical activity (PA), weight, and distress management among stomach, colon, lung and breast cancer patients. METHODS: This randomised, controlled, 1-year trial conducted in five hospitals recruited cancer survivors within 2 months of completing primary cancer treatment who had not met ≥1 of these behavioural goals: (i) conducting moderate PA for at least 150 minutes/week or strenuous exercise for over 75 minutes per week or, in the case of lung cancer patients, low or moderate intensity exercise for over 12.5 MET per week, (ii) maintaining normal weight, and (iii) attaining a score >72 in the Post Traumatic Growth Inventory (PTGI). Participants were randomly assigned to one of three groups: the control group, a web-only group, or a health coaching + web group. The primary endpoint was based on a composite of PA, weight, and PTGI score at 12 months. RESULTS: Patients in the health coaching + web group (difference = 6.6%, P = .010) and the web-only group (difference = 5.9%, P = .031) had greater overall improvements across the three-outcome composite than the control group. The health coaching + web group had greater overall improvement in PTGI (difference = 12.6%; P < .001) than the control group, but not in PA and weight. CONCLUSION: The web-based program, with or without health coaching, may improve health behaviours including PA, weight, and distress management among cancer survivors within 2 months of completing primary cancer treatment. The web-based program with health coaching was mainly effective for reducing psychological distress.

Maternal, neonatal, and child health systems under rapid urbanization: a qualitative study in a suburban district in Vietnam.

BACKGROUND: Vietnam has been successful in increasing access to maternal, neonatal, and child health (MNCH) services during last decades; however, little is known about whether the primary MNCH service utilization has been properly utilized under the recent rapid urbanization. We aimed to examine current MNCH service utilization patterns at a district level. METHODS: The study was conducted qualitatively in a rural district named Quoc Oai. Women who gave a birth within a year and medical staff at various levels participated through 43 individual in-depth interviews and 3 focus group interviews. RESULTS: Primary MNCH services were underutilized due to a failure to meet increased quality needs. Most of the mothers preferred private clinics for antenatal care and the district hospital for delivery due to the better service quality of these facilities compared to that of the commune health stations (CHSs). Mothers had few sociocultural barriers to acquiring service information or utilizing services based on their improved standard of living. A financial burden for some services, including caesarian section, still existed for uninsured mothers, while their insured counterparts had relatively few difficulties. CONCLUSIONS: For the improved macro-efficiency of MNCH systems, the government needs to rearrange human resources and/or merge some CHSs to achieve economies of scale and align with service volume distribution across the different levels.

Comparison of fatigue, depression, and anxiety as factors affecting posttreatment health-related quality of life in lung cancer survivors.

OBJECTIVE: To compare the effects of fatigue, anxiety, and depression on health-related quality of life (HRQoL) in survivors of surgically resectable lung cancer. METHODS: In total, 830 lung cancer survivors participated in the study. They completed a questionnaire consisting of items pertaining to sociodemographic characteristics, clinical variables, and HRQoL. We calculated prevalence rates for fatigue, anxiety, and depression and performed multiple logistic regression and general linear modeling to determine the main factors affecting HRQoL. RESULTS: The prevalence rates for moderate fatigue (Brief Fatigue Inventory mean score: ≥4), borderline depression (Hospital Anxiety and Depression Scale-Depression score: ≥8), and borderline anxiety (Hospital Anxiety and Depression Scale-Anxiety score: ≥8) were 42.2%, 38.9%, and 20.9%, respectively. The main factor was fatigue, which demonstrated the strongest explanatory power for HRQoL including all 5 functional HRQoL components (ie, physical, role, emotional, cognitive, and social functioning) and global health status (partial R2 range: .13 to .19). However, anxiety (partial R2  = .21) and fatigue (partial R2  = .19) both demonstrated strong explanatory power for emotional HRQoL. In addition, depression demonstrated weak explanatory power for HRQoL including emotional HRQoL. CONCLUSIONS: Relative to depression and anxiety, fatigue exerted a stronger effect on lung cancer survivors' HRQoL. Health professionals should consider the reduction of fatigue a priority in improving cancer patients' HRQoL following the completion of cancer treatment.

Development and validation of the smart management strategy for health assessment tool-short form (SAT-SF) in cancer survivors.

PURPOSE: The aim of this study was to develop and validate a short form (SF) of the Smart Management Strategy for Health Assessment Tool (SAT) for cancer patients. METHODS: Data for item reduction were derived from cancer patient data (n = 300) previously used to develop the original SAT. We used regression methods to select and score the new SAT-SF. To assess the instrument's reliability and validity, we recruited another 354 cancer patients from the same hospitals who were older than 18 years and accustomed to using the web. All results were compared with that of the long-form SAT (original SAT). RESULTS: The SAT-SF used is the shorter version, a 30-item (from the original 91-item) instrument, to measure cancer patient's health. The 30-item SAT-SF explained 97.7% of total variance of the full 91-item long-form SAT. All SAT-SF subscales demonstrated a high reliability with good internal consistency compared with the original SAT. The total short-form scores of the three SAT sets (SAT-Core, SAT-Preparation, SAT-Implementation) differentiated participant groups according to their stage of goal implementation and percentage of actions taken in the 10 Rules for Highly Effective Health Behavior. We found acceptable correlations between the three SAT-SF sets and the additional assessment tools compared with the original SAT. CONCLUSIONS: The 30-item SAT-SF had a satisfactory internal consistency and validity for cancer patients with minimal loss of information compared with the original SAT.

Patient-reported assessment of self-management strategies of health in cancer patients: development and validation of the Smart Management Strategy for Health Assessment Tool (SAT).

OBJECTIVE: The objective of this study was to evaluate the psychometric properties of the Smart Management Strategy for Health Assessment Tool (SAT), which we developed to enable cancer patients to assess their self-management (SM) strategies of health by themselves. PATIENTS AND METHODS: The development of the questionnaire included four phases: item generation, construction, pilot testing, and field testing. To assess the instrument's sensitivity and validity, we recruited 300 cancer patients from three Korean hospitals who were 18 or more years old and accustomed to using the Internet or email. Using the appropriate and priority criteria for pilot and field testing, we tightened the content and constructed the first version of the SAT. RESULTS: We developed the core strategies with 28 items, preparation strategies with 30 items, and implementation strategies with 33 items. Factor analysis of data from 300 patients resulted in core strategies with four factors, preparation strategies with five factors, and implementation strategies with six factors. All the SAT subscales demonstrated a high reliability with good internal consistency. The total scores of the three SAT sets differentiated participant groups well according to their stage of goal implementation and proportions of action of the 10 Rules for Highly Effective Health Behavior. Each factor of the three SAT sets correlated positively with the scores for additional assessment tool. CONCLUSION: The SAT is a three-set, 16-factor, 91-item tool that assesses the SM strategies of health that patients use to overcome a crisis. Patients can use the SAT to assess their SM strategies of health and obtain feedback from clinicians in the practice setting.

The association of self-leadership, health behaviors, and posttraumatic growth with health-related quality of life in patients with cancer.

PURPOSE: We tried to evaluate the association of self-leadership, effective health behaviors, and posttraumatic growth with health-related quality of life (HRQOL). METHODS: We recruited survivors of cancer from seven hospitals in Korea between 2011 and 2012. The patients completed the Seven Habits Profile (7HP) to evaluate leadership competency, the 10 rules for highly effective health behavior to evaluate health behavior, the Posttraumatic Growth Inventory (PTGI) to evaluate posttraumatic growth, the Short Form 36 (SF-36) to evaluate HRQOL, and the Hospital Anxiety and Depression Scale (HADS) to evaluate anxiety and depression. We performed multiple logistic regressions to identify significant associations. RESULTS: A total of 668 patients with cancer participated in the study. Patients who scored high on the leadership subscales of Be Proactive, Begin with the End in Mind, Put First Things First, Think Win-Win, Synergize, and Sharpen the Saw in 7HP tried to practice and keep their health behaviors more. The Begin with the End in Mind, Put First Things First, Synergize, and Sharpen the Saw subscales of the 7HP were also significantly correlated with subscales on the PTGI. Patients who scored high on the leadership subscales of Life Balance, Be Proactive, Begin with the End in Mind, Think Win-Win, and Sharpen the Saw had higher physical and mental component scale scores on the SF-36 and lower anxiety and depression subscale scores on the HADS. CONCLUSION: Self-leadership, health behaviors, and posttraumatic growth are associated with QOL in survivors of cancer.