The combination of physical activity with fruit and vegetable intake associated with life satisfaction among middle-aged and older adults: a 16-year population-based cohort study.

BACKGROUND: Life satisfaction (LS) is part of a positive psychological feeling that protects individuals from a physical decline in old age. A healthy lifestyle, including physical activity (PA) and a healthy diet, such as the intake of fruits and vegetables (F&V), can lead to a better experience of LS in older adults. However, the association between PA and F&V intake habits when occurring together in older adults is still unclear for LS. The study aimed to investigate the combined association of PA and F&V intake on LS among a cohort of older Taiwanese adults. METHODS: Five waves of population-based data gathered by the Taiwan Longitudinal Survey on Aging between 1999 and 2015 were analyzed. The year 1999 was set as the baseline, and the number of respondents was 4,440. The independent variables included the frequency, duration, and intensity of PA and the frequency of F&V intake. LS was assessed by using the Life Satisfaction Index. We performed generalized estimating equations (GEE) analysis with adjustment for covariates of health behaviors and health indicators. RESULTS: After adjusting for confounders, model 1 showed that moderate and high-PA levels significantly correlated with LS (odds ratio [OR] = 1.41, 95% CI = 1.12-1.79) and OR = 1.74, 95% CI = 1.50-2.02). Moreover, high-F&V intake significantly correlated with LS (OR = 2.07, 95% CI = 1.69-2.53). Regarding the combined association shown in model 2, compared with both the low PA and F&V intake group, there were significantly higher LS in the both-high-group (OR = 4.69, 95% CI = 3.49-6.31), only-high-F&V intake (OR = 2.87, 95% CI = 2.14-3.85), only-high-PA (OR = 2.48, 95% CI = 1.74-3.52). CONCLUSIONS: Our findings show the significant combined association of PA and F&V intake on LS among older adults. In addition, older adults who engaged in higher frequency, duration, and intensity of daily PA combined more than seven times a week of F&V intake had significantly higher LS than those who only engaged in low PA or only intake less F&V. Adopting multiple healthy behaviors in daily life is a safe and effective approach to promote LS among older adults.

Inherent Bias in Artificial Intelligence-Based Decision Support Systems for Healthcare.

The objective of this article is to discuss the inherent bias involved with artificial intelligence-based decision support systems for healthcare. In this article, the authors describe some relevant work published in this area. A proposed overview of solutions is also presented. The authors believe that the information presented in this article will enhance the readers' understanding of this inherent bias and add to the discussion on this topic. Finally, the authors discuss an overview of the need to implement transdisciplinary solutions that can be used to mitigate this bias.

Contextual, organizational and ecological effects on the variations in hospital readmissions of rural Medicare beneficiaries in eight southeastern states.

The enactment of the Patient Protection and Affordable Care Act (ACA) has been expected to improve the coverage of health insurance, particularly as related to the coordination of seamless care and the continuity of elder care among Medicare beneficiaries. The analysis of longitudinal data (2007 through 2013) in rural areas offers a unique opportunity to examine trends and patterns of rural disparities in hospital readmissions within 30 days of discharge among Medicare beneficiaries served by rural health clinics (RHCs) in the eight southeastern states of the Department of Health & Human Services (DHHS) Region 4. The purpose of this study is twofold: first, to examine rural trends and patterns of hospital readmission rates by state and year (before and after the ACA enactment); and second, to investigate how contextual (county characteristic), organizational (clinic characteristic) and ecological (aggregate patient characteristic) factors may influence the variations in repeat hospitalizations. The unit of analysis is the RHC. We used administrative data compiled from multiple sources for the Centers of Medicare and Medicaid Services for a period of seven years. From 2007 to 2008, risk-adjusted readmission rates increased slightly among Medicare beneficiaries served by RHCs. However, the rate declined in 2009 through 2013. A generalized estimating equation of sixteen predictors was analyzed for the variability in risk-adjusted readmission rates. Nine predictors were statistically associated with the variability in risk-adjusted readmission rates of the RHCs pooled from 2007 through 2013 together. The declined rates were associated with by the ACA effect, Georgia, North Carolina, South Carolina, and the percentage of elderly population in a county where RHC is located. However, the increase of risk-adjusted rates was associated with the percentage of African Americans in a county, the percentage of dually eligible patients, the average age of patients, and the average clinical visits by African American patients. The sixteen predictors accounted for 21.52 % of the total variability in readmissions. This study contributes to the literature in health disparities research from the contextual, organizational and ecological perspectives in the analysis of longitudinal data. The synergism of multiple contextual, organizational and ecological factors, as shown in this study, should be considered in the design and implementation of intervention studies to address the problem of hospital readmissions through prevention and enhancement of disease management of rural Medicare beneficiaries.

Variations in Influenza and Pneumonia Immunizations for Medicare Beneficiaries Served by Rural Health Clinics.

The availability of a rural health clinic (RHC) database over the period of 6 years (2008-2013) offers a unique opportunity to examine the trends and patterns of disparities in immunization for influenza and pneumonia among Medicare beneficiaries in the southeastern states. The purpose of this exploratory study was twofold. First, it examined the rural trends and patterns of immunization rates before (2008-2009) and after (2010-2013) the Affordable Care Act (ACA) enactment by state and year. Second, it investigated how contextual, organizational, and aggregate patient characteristics may influence the variations in immunization for influenza and pneumonia of Medicare beneficiaries served by RHCs. Four data sources from federal agencies were merged to perform a longitudinal analysis of the influences of contextual, organizational, and aggregate patient characteristics on the disparities in immunization rates of rural Medicare beneficiaries for influenza and pneumonia. We included both time-varying and time-constant predictors in a multivariate analysis using Generalized Estimating Equation. This study revealed the increased immunization rates for both influenza and pneumonia over a period of 6 years. The ACA had a positive effect on increased immunization rates for pneumonia, but not for influenza, in rural Medicare beneficiaries in the eight states. The RHCs that served more dually-eligible patients had higher immunization rates. For influenza immunization, provider-based RHCs had a higher rate than the independent RHCs. For pneumonia immunization, no organizational variables were relevant in the explanation of the variability. The results also showed that no single dominant factor influenced health care disparities. This investigation suggested further improvements in preventive care are needed to target poor and isolated rural beneficiaries. Furthermore, the integration of immunization data from multiple sources is critically needed for understanding health disparities.

Estimating the Net Career Income of a Geriatrician and a Nurse Practitioner: Still Want to Be a Doctor?

OBJECTIVES: With a continual shortage of geriatricians, adult-gerontology primary care nurse practitioners have assumed a greater role in the delivery of outpatient care for older adults. Given the long duration of physician training, the high cost of medical school, and the lower salaries compared with subspecialists, the financial advantage of a career as a geriatrician as opposed to a nurse practitioner is uncertain. This study compares the estimated career earnings of a geriatrician and an adult-gerontology primary care nurse practitioner. METHODS: We used a synthetic model of estimated net earnings during a 43-year career span for a 22-year old person embarking on a career as a geriatrician versus a career as an adult-gerontology primary care nurse practitioner. We estimated annual net income and net retirement savings using different annual compound rates and calculated the financial impact of forgiving medical student loans, shortening the duration of physician training, and reinstituting the practice pathway for geriatric medicine certification. RESULTS: Career net incomes for the geriatrician did not match the nurse practitioner until almost age 40. At 65 years of age, the difference between the geriatrician and nurse practitioner was 30.6%. A higher annual compound rate was associated with an even smaller percentage difference. Combining all three health policy interventions lowered the break-even age to 28 and more than doubled the difference in career earnings. CONCLUSIONS: Small estimated differences in net career earnings exist between geriatricians and adult-gerontology primary care nurse practitioners. Health policy interventions had a dramatic positive effect on geriatricians' lifetime net earnings in calculated estimates.

A cost analysis of remote monitoring in a heart failure program.

In this study, we examine the cost per outcomes of remote monitoring services in home health care. The methodology followed case matched design via retrospective chart reviews. Results of the chi-square test suggest that there were no significant associations between the intervention and hospital readmissions, χ2 = (1, n = 210, p-value = .71, phi = .71). An independent t-test compared group means of the number of skilled nursing visits and agency costs, p-value of .002 and .000, respectively, favoring the standard of care group. Based on this data set, the home care agency lost $153.46 for each hospital readmission in the intervention group. The cost of care complicated the agency's resources through an increase in nursing visits without offsetting the agency's investment into technology; the cost did not support remote monitoring as a financially viable option to the standard of care.

The moderating effect of leadership on the relationship between personality and performance.

AIM: To examine how personality and leadership influence efficiency in the nursing service environment. BACKGROUND: Leadership and personality contribute to the success and failure of a unit. However, how they interact to influence performance is still understudied. METHODS: We used matched pairs sample design to survey 135 head nurses and 1353 registered nurses on validated instruments of demographic characteristics, leadership styles and personality during June and July of 2014. Efficiency was calculated using Data Envelopment Analysis. Tobit regression was used for analysis. RESULTS: High conscientiousness and low neuroticism were significantly associated with higher efficiency. Particularly, under the initiating structure leadership style, high conscientiousness, high extraversion, high agreeableness, high openness and low neuroticism were related to higher efficiency. Openness would improve efficiency under a low consideration leadership style. CONCLUSIONS: Most personality traits were related to higher efficiency under the initiating leadership style. Only openness would improve leaders' efficiency under a high initiating structure and a low consideration leadership style. IMPLICATIONS FOR NURSING MANAGEMENT: Considering personality as one factor of selecting head nurses, selecting the right person can improve the fit between individuals and organisations, which in turn, improves job performance. Training head nurses to develop better leadership styles in nurses is another way to enhance efficiency.

Willingness to participate in accountable care organizations: health care managers' perspective.

This study examines how health care managers responded to the accountable care organization (ACO). The effect of perceived benefits and barriers of the commitment to develop a strategic plan for ACOs and willingness to participate in ACOs is analyzed, using organizational social capital, health information technology uses, health systems integration and size of the health networks, geographic factors, and knowledge about ACOs as predictors. Propensity score matching and analysis are used to adjust the state and regional variations. When the number of perceived benefits is greater than the number of perceived barriers, health care managers are more likely to reveal a stronger commitment to develop a strategic plan for ACO adoption. Health care managers who perceived their organizations as lacking leadership support or commitment, financial incentives, and legal and regulatory support to ACO adoption were less willing to participate in ACOs in the future. Future research should gather more diverse views from a larger sample size of health professionals regarding ACO participation. The perspective of health care managers should be seriously considered in the adoption of an innovative health care delivery system. The transparency on policy formulation should consider multiple views of health care managers.

Cost-Effectiveness Analysis of Digital Breast Tomosynthesis and Mammography in Breast Cancer Screening: A Markov Modeling Study.

BACKGROUND: Mammography (MG) has demonstrated its effectiveness in diminishing mortality and advanced-stage breast cancer incidences in breast screening initiatives. Notably, research has accentuated the superior diagnostic efficacy and cost-effectiveness of digital breast tomosynthesis (DBT). However, the scope of evidence validating the cost-effectiveness of DBT remains limited, prompting a requisite for more comprehensive investigation. The present study aimed to rigorously evaluate the cost-effectiveness of DBT plus MG (DBT-MG) compared to MG alone within the framework of Taiwan's National Health Insurance program. METHODS: All parameters for the Markov decision tree model, encompassing event probabilities, costs, and utilities (quality-adjusted life years, QALYs), were sourced from reputable literature, expert opinions, and official records. With 10,000 iterations, a 2-year cycle length, a 30-year time horizon, and a 2% annual discount rate, the analysis determined the incremental cost-effectiveness ratio (ICER) to compare the cost-effectiveness of the two screening methods. Probabilistic and one-way sensitivity analyses were also conducted to demonstrate the robustness of findings. RESULTS: The ICER of DBT-MG compared to MG was US$5971.5764/QALYs. At a willingness-to-pay (WTP) threshold of US$33,004 (Gross Domestic Product of Taiwan in 2021) per QALY, more than 98% of the probabilistic simulations favored adopting DBT-MG versus MG. The one-way sensitivity analysis also shows that the ICER depended heavily on recall rates, biopsy rates, and positive predictive value (PPV2). CONCLUSION: DBT-MG shows enhanced diagnostic efficacy, potentially diminishing recall costs. While exhibiting a higher biopsy rate, DBT-MG aids in the detection of early-stage breast cancers, reduces recall rates, and exhibits notably superior cost-effectiveness.

Need for an Artificial Intelligence-based Diabetes Care Management System in India and the United States.

Objective: Diabetes mellitus is an important chronic disease that is prevalent around the world. Different countries and diverse cultures use varying approaches to dealing with this chronic condition. Also, with the advancement of computation and automated decision-making, many tools and technologies are now available to patients suffering from this disease. In this work, the investigators attempt to analyze approaches taken towards managing this illness in India and the United States. Methods: In this work, the investigators have used available literature and data to compare the use of artificial intelligence in diabetes management. Findings: The article provides key insights to comparison of diabetes management in terms of the nature of the healthcare system, availability, electronic health records, cultural factors, data privacy, affordability, and other important variables. Interestingly, variables such as quality of electronic health records, and cultural factors are key impediments in implementing an efficiency-driven management system for dealing with this chronic disease. Conclusion: The article adds to the body of knowledge associated with the management of this disease, establishing a critical need for using artificial intelligence in diabetes care management.

Predicting quality of life after breast cancer surgery using ANN-based models: performance comparison with MR.

PURPOSE: The goal was to develop models for predicting long-term quality of life (QOL) after breast cancer surgery. METHODS: Data were obtained from 203 breast cancer patients who completed the SF-36 health survey before and 2 years after surgery. Two of the models used to predict QOL after surgery were artificial neural networks (ANNs), which included one multilayer perceptron (MLP) network and one radial basis function (RBF) network. The third model was a multiple regression (MR) model. The criteria for evaluating the accuracy of the system models were mean square error (MSE) and mean absolute percentage error (MAPE). RESULTS: Compared to the MR model, the ANN-based models generally had smaller MSE values and smaller MAPE values in the test data set. One exception was the second year MSE for the test value. Most MAPE values for the ANN models ranged from 10 to 20 %. The one exception was the 6-month physical component summary score (PCS), which ranged from 23.19 to 26.86 %. Comparison of criteria for evaluating system performance showed that the ANN-based systems outperformed the MR system in terms of prediction accuracy. In both the MLP and RBF networks, surgical procedure type was the most sensitive parameter affecting PCS, and preoperative functional status was the most sensitive parameter affecting mental component summary score. CONCLUSION: The three systems can be combined to obtain a conservative prediction, and a combined approach is a potential supplemental tool for predicting long-term QOL after surgical treatment for breast cancer. RELEVANCE: Patients should also be advised that their postoperative QOL might depend not only on the success of their operations but also on their preoperative functional status.

Gaps in nurse staffng and nursing home resident needs.

Trends in nurse staffing levels in nursing homes from 1997 to 2011 varied across the category of nurse and the type of nursing home. The gaps found in this study are important to consider because nurses may become overworked and this may negatively affect the quality of services and jeopardize resident safety. Nursing home administrators should consider improving staffing strategically. Staffing should be based not only on the number of resident days, but also allocated according to particular resident needs. As the demand for nursing home care grows, bridging the gap between nurse staffing and resident nursing care needs will be especially important in light of the evidence linking nurse staffing to the quality of nursing home care. Until more efficient nursing care delivery exits, there may be no other way to safeguard quality except to increase nurse staffing in nursing homes.

Transitional care: looking for the right shoes to fit older adult patients.

Potentially avoidable hospitalizations are associated with high costs and an increased risk for iatrogenic conditions in older adult patients. Although care managers may be aware of the common potential pitfalls that may arise in the transfer of patients to and from the hospital defining best practice models has been difficult. Many current models of geriatric care have had little or no impact on lowering the rates of hospitalizations and rehospitalizations when formally studied. Health care reform legislation mandates initiatives involving new models of coordinated or guided care such as the medical home model and the accountable care organization. These new models too will face significant challenges in their attempt to provide the financial incentives and systematic changes needed to successfully address transitional care in older adults.

A Proposed Multi-Criteria Optimization Approach to Enhance Clinical Outcomes Evaluation for Diabetes Care: A Commentary.

There are several challenges in diabetes care management including optimizing the currently used therapies, educating patients on selfmanagement, and improving patient lifestyle and systematic healthcare barriers. The purpose of performing a systems approach to implementation science aided by artificial intelligence techniques in diabetes care is two-fold: 1) to explicate the systems approach to formulate predictive analytics that will simultaneously consider multiple input and output variables to generate an ideal decision-making solution for an optimal outcome; and 2) to incorporate contextual and ecological variations in practicing diabetes care coupled with specific health educational interventions as exogenous variables in prediction. A similar taxonomy of modeling approaches proposed by Brennon et al (2006) is formulated to examining the determinants of diabetes care outcomes in program evaluation. The discipline-free methods used in implementation science research, applied to efficiency and quality-of-care analysis are presented. Finally, we illustrate a logically formulated predictive analytics with efficiency and quality criteria included for evaluation of behavioralchange intervention programs, with the time effect included, in diabetes care and research.

The combined effect of physical activity and fruit and vegetable intake on decreasing cognitive decline in older Taiwanese adults.

The factors associated with cognitive decline among older adults include physical activity and fruit and vegetable intake. However, the long-term effects of concomitant physical activity and fruit and vegetable intake are unknown. This 16-year longitudinal study explored the joint effect of mitigating cognitive decline in a cohort of older Taiwanese individuals. Five population-based surveys (Taiwan Longitudinal Survey on Aging [1999-2015]) involving 4440 respondents over 53 years old in 1999 were conducted. Cognitive function was assessed using the Short Portable Mental Status Questionnaire (SPMSQ). The demographic, socioeconomic, health-related, behavioral, and disease status covariates were adjusted in the regression analysis. Trends in cognitive decline were observed over 16 years. The risk of cognitive decline decreased by 63% when high physical activity and high fruit and vegetable intake were combined (odds ratio 0.37; 95% confidence interval 0.23-0.59), indicating a potential combined effect of physical activity and fruit and vegetable intake on mitigating cognitive decline. These personal actions are safe, effective, and economical approaches to health promotion and disease prevention.

Assessing Patient Safety Culture in United States Hospitals.

A positive patient safety culture plays a major role in reducing medical errors and increasing productivity among healthcare staff. Furthermore, understanding staff perceptions of patient safety culture and effective patient safety factors is a first step toward enhancing quality of care and patient safety. The objectives of this study were to assess patient safety culture in hospitals in the United States and to investigate the effects of hospital and respondent characteristics on perceived patient safety culture. An analysis of 67,010 respondents in the 2018 Agency for Healthcare Research and Quality (AHRQ) comparative database was conducted with partial least squares structural equation modeling (PLS-SEM). The results revealed that perceptions of patient safety culture had a positive influence on the overall perceptions of patient safety and frequency of event reporting. Moreover, staff position, teaching status, and geographic region were found to have varying influence on the patient safety culture, overall perceptions of patient safety, and frequency of event reporting.

Effect of Hand Hygiene Intervention in Community Kindergartens: A Quasi-Experimental Study.

This study aimed to evaluate the effect of hand hygiene interventions on the overall hand hygiene (HH) status of teaching instruction of hand hygiene in kindergartens, given the vulnerability of kindergarten children and their high risk due to infectious diseases and the current COVID-19 epidemic. We investigated the HH status of teachers from two kindergartens in the same community. The participants were recruited from 28 classes in both kindergartens. After completing the baseline survey, the intervention program consisted of three components: lectures on infectious diseases, lectures on HH, and seven-step hand washing techniques conducted in two kindergartens. The intervention program effectively increased teachers' perceived disease susceptibility (p < 0.05), reduced the total bacterial colonization of children's hands (p < 0.001), and improved the HH environment (p < 0.01). We recommend that health authorities or kindergartens adopt this HH intervention program to effectively improve the HH status in kindergartens and allow for preventive responses to the COVID-19 epidemic or other emerging infectious diseases.

Demand study for advanced dental hygiene educational degrees: part 2: assessing educational demand.

Currently, the debate over the addition of the midlevel provider position for dental hygienists rages on. The midlevel provider (similar to the physician's assistant) in dentistry exists in a handful of states in various forms, but is hotly contested in many other states. This is the second half of a 2-part study undertaken to add to the current body of knowledge by addressing the clinical needs changing in our population and the associated demand study for additional educational degrees for dental hygienists to address these changing needs. Part 1 addressed a literature update on oral health and systemic correlations contributing to our populations' declining health conditions, whereas part 2 illustrates the results of the demand study. It attempts to benchmark "adequate demand" and applies the stakeholder theory as its theoretical framework.

Demand study for advanced dental hygiene educational degrees: Part 1: Assessing the clinical changes of our population.

The debate over the addition of the midlevel provider position for dental hygienists currently rages on. The midlevel provider (similar to the physician's assistant) in dentistry exists in a handful of states but is hotly contested in many other states. This is a 2-part study to add to the current body of knowledge by addressing the changing clinical needs in our population and the associated demand study for additional educational degrees for dental hygienists to address these changing needs. Part 1 addresses a literature update on oral health and systemic correlations contributing to our populations' declining health conditions, whereas part 2 illustrates the results of the demand study.

Predictive Analytics for the KMAP-O Model in Design and Evaluation of Diabetes Care Management Research.

This is a commentary on methodological challenges and analytical requirements in designing an evaluation of the knowledge, motivation, attitude, preventive practice-outcome (KMAP-O) model for selfcare management of diabetes. Critical issues pertaining to an investigation of the dose-response relationship between the intervention program and outcomes, the comparative effectiveness evaluation, and the lengths of observation were noted. Although numerous publications on factors influencing diabetes care and control were systematically reviewed and documented in the literature, scientific results on artificial intelligence research remain to be uncovered. To optimizing the knowledge and clinical practice in selfcare management, specific methodological approaches to predictive analytics are suggested for future clinical studies, using a comprehensive behavioral system such as the KMAP-O model.