Healthcare services and medication use among cancer survivors and their partners: a cross-sectional analysis of 16 European countries

Comparative effects of different types of exercise on health-related quality of life during and after active cancer treatment: A systematic review and network meta-analysis

BACKGROUND

The positive influence of most types of exercise has been reported repeatedly, but what the most effective exercise approaches are for improving health-related quality of life (HRQoL) in people with cancer remains unknown. The aim of this systematic review and network meta-analysis was to synthesize the evidence from intervention studies to assess the effects of different types of exercise on HRQoL during and after cancer treatment.

METHODS

MEDLINE, SPORTDiscus, the Cochrane Library, Web of Science, and Scopus were searched for randomized controlled trials aimed at testing the effects of exercise interventions meant to improve HRQoL in people with cancer. Separate analyses were conducted for HRQoL as measured by general and cancer-specific questionnaires. We also evaluated whether the effects of exercise were different during and after cancer treatment in both the physical and mental HRQoL domains.

RESULTS

In total, 93 studies involving 7435 people with cancer were included. Network effect size estimates comparing exercise intervention vs. usual care were significant for combined exercise (0.35, 95% confidence interval (95%CI): 0.14-0.56) for HRQoL as measured by general questionnaires, and for combined (0.31, 95%CI: 0.13-0.48), mind-body exercise (0.54, 95%CI: 0.18-0.89), and walking (0.39, 95%CI: 0.04-0.74) for HRQoL as measured by cancer-specific questionnaires.

CONCLUSION

Exercise programs combining aerobic and resistance training can be recommended to improve HRQoL during and after cancer treatment. The scarcity and heterogeneity of these studies prevents us from making recommendations about other exercise modalities due to insufficient evidence.

Exploring patient medication adherence and data mining methods in clinical big data: A contemporary review

BACKGROUND

Increasingly, patient medication adherence data are being consolidated from claims databases and electronic health records (EHRs). Such databases offer an indirect avenue to gauge medication adherence in our data-rich healthcare milieu. The surge in data accessibility, coupled with the pressing need for its conversion to actionable insights, has spotlighted data mining, with machine learning (ML) emerging as a pivotal technique. Nonadherence poses heightened health risks and escalates medical costs. This paper elucidates the synergistic interaction between medical database mining for medication adherence and the role of ML in fostering knowledge discovery.

METHODS

We conducted a comprehensive review of EHR applications in the realm of medication adherence, leveraging ML techniques. We expounded on the evolution and structure of medical databases pertinent to medication adherence and harnessed both supervised and unsupervised ML paradigms to delve into adherence and its ramifications.

RESULTS

Our study underscores the applications of medical databases and ML, encompassing both supervised and unsupervised learning, for medication adherence in clinical big data. Databases like SEER and NHANES, often underutilized due to their intricacies, have gained prominence. Employing ML to excavate patient medication logs from these databases facilitates adherence analysis. Such findings are pivotal for clinical decision-making, risk stratification, and scholarly pursuits, aiming to elevate healthcare quality.

CONCLUSION

Advanced data mining in the era of big data has revolutionized medication adherence research, thereby enhancing patient care. Emphasizing bespoke interventions and research could herald transformative shifts in therapeutic modalities.

The Interplay between Housing Environmental Attributes and Design Exposures and Psychoneuroimmunology Profile-An Exploratory Review and Analysis Paper in the Cancer Survivors' Mental Health Morbidity Context

Adult cancer survivors have an increased prevalence of mental health comorbidities and other adverse late-effects interdependent with mental illness outcomes compared with the general population. Coronavirus Disease 2019 (COVID-19) heralds an era of renewed call for actions to identify sustainable modalities to facilitate the constructs of cancer survivorship care and health care delivery through physiological supportive domestic spaces. Building on the concept of therapeutic architecture, psychoneuroimmunology (PNI) indicators-with the central role in low-grade systemic inflammation-are associated with major psychiatric disorders and late effects of post-cancer treatment. Immune disturbances might mediate the effects of environmental determinants on behaviour and mental disorders. Whilst attention is paid to the non-objective measurements for examining the home environmental domains and mental health outcomes, little is gathered about the multidimensional effects on physiological responses. This exploratory review presents a first analysis of how addressing the PNI outcomes serves as a catalyst for therapeutic housing research. We argue the crucial component of housing in supporting the sustainable primary care and public health-based cancer survivorship care model, particularly in the psychopathology context. Ultimately, we illustrate a series of interventions aiming at how housing environmental attributes can trigger PNI profile changes and discuss the potential implications in the non-pharmacological treatment of cancer survivors and patients with mental morbidities.

Convalescent Hospital Use among Young and Older Female Cancer Survivors

This study analyzed national health data to assess convalescent hospital use among female cancer survivors according to age group. This retrospective study collected data from women recovering from breast, colon, and stomach cancer, based on health insurance claim data over 5 years (2013-2017), from the Korea Health Insurance Review and Assessment Service (KHIRA). Interestingly, the number of young and older women who were treated in convalescent hospitals increased every year. In addition, total medical expenses increased in both groups. The annual rate of convalescent hospitalization was higher in older women (8.29~16.39%) than in younger women (4.01~7.46%). The total yearly medical expenses of cancer survivors in convalescent hospitals increased in both age groups and all cancer types, and the range of increase rate was from 7.7% in young breast cancer survivors to 32.2% in young colon cancer survivors. Visit days and days of medication increased noticeably in young colon cancer survivors. Taken together, these data have confirmed the importance of developing standard guidelines for inpatient management in convalescent hospitals and the health management of women cancer survivors by cancer type. This includes establishing a health management system and medical policies.