Use of Digital Health Technology Among Older Adults With Cancer in the United States: Findings From a National Longitudinal Cohort Study (2015-2021).

BACKGROUND: Despite the benefits of digital health technology use, older adults with cancer (ie, aged 65 years) have reported challenges to technology adoption. However, there has been a lack of a good understanding of their digital health technology use patterns and the associated influential factors in the past few years. OBJECTIVE: This study aimed to examine the trends in and factors associated with digital health technology use among older adults with cancer. METHODS: The National Health and Aging Trends Study (NHATS) data set is a national longitudinal cohort study with annual survey waves of Medicare beneficiaries 65 years and older. Participants were community-dwelling older adults who self-reported previous or current cancer diagnoses in each round. The study sample size of each round ranged from 1996 (2015) to 1131 (2021). Digital health technology use was defined as using the internet or online in the last month to order or refill prescriptions, contact medical providers, handle Medicare or other insurance matters, or get information about their health conditions. The association of sociodemographics, clinical factors (self-rated health, chronic conditions, difficulties in activities of daily living, dementia, anxiety, and depression), and physical function (Short Physical Performance Battery and grip strength) with digital health technology use was examined using design-based logistic regression. All statistical analyses accounted for the complex sample design. RESULTS: The prevalence of any digital health technology use increased from 36% in 2015 to 45% in 2019. In 2020-2021, which was amid the COVID-19 pandemic, it ranged from 51% to 52%. In terms of each digital health technology use behavior, in 2015, overall, 28% of older cancer survivors used digital health technology to obtain health information, followed by contacting clinicians (19%), filling prescriptions (14%), and handling insurance (11%). Greater use of digital health technology was associated with younger age, being White, having a college or higher education, having a higher income, having more comorbidities, nondementia, and having a higher gait speed. CONCLUSIONS: Digital health technology use in older adults with cancer has gradually increased, particularly during the COVID-19 pandemic. However, socioeconomic and racial disparities have remained in older cancer survivors. Additionally, older adults with cancer may have some unique features associated with digital health technology use; for example, their use of digital health may be increased by their comorbidities (ie, health care needs) and reduced by their frailty.

Measurements of Intrinsic Capacity in Older Adults: A Scoping Review and Quality Assessment.

OBJECTIVES: This review summarizes the measurements of intrinsic capacity in 5 domains across different studies and evaluates the quality of research papers. DESIGN: Scoping review of papers written in English and Chinese published in peer-reviewed journals. SETTING AND PARTICIPANTS: The intrinsic capacity of older adults was assessed using the multidomain structure (Cognition, Locomotion, Psychological, Sensory and Vitality) proposed by the World Health Organization. METHODS: We searched PubMed, MEDLINE, and Web of Science for papers in English, and CNKI, CBM for papers written in Chinese published until September 13, 2022. Both cross-sectional and cohort studies of multidomain measurements of intrinsic capacity were included. Three independent reviewers appraised the quality of studies, and Cohen's kappa was calculated to determine interrater reliability. Data were listed by author, year, setting, country, age range and number of participants, measurement and calculation of intrinsic capacity, and data acquisition method. RESULTS: We included 53 studies. Twenty-one studies were of high quality, 31 studies were of moderate quality, and 1 study was of low quality. Measurements of intrinsic capacity and derivation of the summative index score were heterogeneous. Intrinsic capacity was usually assessed in 4 or 5 domains. Sensory was the most frequently overlooked domain or subdivided into vision and hearing in some studies. Indicators of vitality were the most heterogeneous. We also found consistency in heterogeneous measurements. The most common measurements of cognition, locomotion, and psychological capacity were the Mini-Mental State Examination, Short Physical Performance Battery, and Geriatric Depression Scale respectively. Self-reported questionnaires were commonly adopted in sensory domain. The Mini-Nutritional Assessment and grip strength were the most measured indicators of vitality. CONCLUSIONS AND IMPLICATIONS: The focus on capacity and disease should be balanced to better promote healthy aging in older adults. Heterogeneity of intrinsic capacity measurements underscores the need for consensus about standardized measurements and calculation procedures.

Trends, composition and distribution of nurse workforce in China: a secondary analysis of national data from 2003 to 2018.

OBJECTIVES: Given the increased ageing population and frequent epidemic challenges, it is vital to have the nurse workforce of sufficient quantity and quality. This study aimed to demonstrate the trends, composition and distribution of nurse workforce in China. DESIGN: Secondary analysis using national public datasets in China from 2003 to 2018. SETTING/PARTICIPANTS: National population, nurse workforce and physician workforce. PRIMARY AND SECONDARY OUTCOME MEASURES: Frequency and proportion were used to demonstrate: (1) the longitudinal growth of nurse workforce; (2) the diversity of nurse workforce in gender, age, work experience and education level; and (3) the distribution of nurse workforce among provinces, rural-urban areas and hospital/community settings. The Gini coefficient and Theil L index were used to measure the inequality trends of nurse workforce. RESULTS: The total number of nurses increased from 1.3 million to 4.1 million and the density increased from 1 to 2.94 per 1000 population over 2003-2018. The nurses to physician ratio changed from 0.65:1 to 1.14:1. The majority of the nurse workforce was female, under 35 years old, with less than 30 years of work experience, with an associate's degree and employed within hospitals. Central and eastern regions had more nurses and there were 5.08 nurses per 1000 population in urban areas while less than two in rural areas in 2018. The Gini coefficient and between-provincial Theil index experienced a consistent decline. Within-province inequality accounted for overall inequality has risen from 52.38% in 2010 to 71.43% in 2018 suggested that the differences of distribution are mainly reflected in urban and rural areas. CONCLUSION: Chinese nurse workforce has been changed significantly in the past 15 years that may be associated with the reformations of policy, nursing education in China. Our study suggests current features in the nurse workforce and can be used to strengthen future health services.

The effects of job characteristics, organizational justice and work engagement on nursing care quality in China: A mediated effects analysis.

AIM: To analyse the structural associations among job characteristics, organizational justice, work engagement and nursing care quality in Chinese nurses. BACKGROUND: Nursing care quality helps ensure patient safety, which are core concerns. The explicit relationships among the study's variables from a management perspective can help hospital managers to implement effective strategies to improve nursing care quality. METHODS: This cross-sectional study was conducted to investigate the relationships among the variables in 1,615 nurses in eight Chinese tertiary hospitals. Structural equation modelling was used to test a proposed model of these relationships. RESULTS: The scores of job characteristics, organizational justice, work engagement and nursing care quality were 3.55 ± 0.41, 3.84 ± 0.77, 4.67 ± 1.30 and 3.42 ± 0.70. Job characteristics and organizational justice had direct effects on nursing care quality. Work engagement mediated the relationship of nursing care quality with job characteristics and organizational justice. The final model explained 24% of nursing care quality. CONCLUSION: The results provide a better understanding of the associations between the study's variables. Perceived job characteristics and organizational justice can improve nursing care quality through work engagement. IMPLICATIONS FOR NURSING MANAGEMENT: Reconfiguring work design to strengthen nurses' positive perceptions of job characteristics and organizational justice can enhance nursing care quality.

Communication channels to help build an international community of education and practice.

Two-way communication is required if nurses are to build knowledge networks of international communities of nursing education and practice. Are expensive new technologies feasible or preferred for effective communication and productive outcomes? In this report from a longstanding partnership between schools of nursing at Peking University and the University of Michigan, case study methodology is used to evaluate more than a decade of experience with communication modalities: in person, postal mail, express mail, e-mail, fax, telephone, hand delivery by other travelers, and Web sites. Although each education and practice community develops unique ways to build its shared knowledge, a communications plan is suggested, with use of multiple communication techniques, especially those that are low cost and the most dependable. High-cost technologies are not always feasible or preferred. For the project described, they were not necessary to the major outcome, a nursing education and practice network that resulted in the first nurse-managed community-based clinic in China.