A systematic review/meta-analysis of prevalence and incidence rates illustrates systemic underrepresentation of individuals racialized as Asian and/or Asian-American in ADRD research.

We investigate Alzheimer's disease and related dementia (ADRD) prevalence, incidence rate, and risk factors in individuals racialized as Asian and/or Asian-American and assess sample representation. Prevalence, incidence rate, risk factors, and heterogeneity of samples were assessed. Random-effects meta-analysis was conducted, generating pooled estimates. Of 920 records across 14 databases, 45 studies were included. Individuals racialized as Asian and/or Asian-American were mainly from Eastern and Southern Asia, had higher education, and constituted a smaller sample relative to non-Hispanic white cohorts. The average prevalence was 10.9%, ranging from 0.4% to 46%. The average incidence rate was 20.03 (12.01-33.8) per 1000 person-years with a range of 75.19-13.59 (12.89-14.33). Risk factors included physiological, genetic, psychological, behavioral, and social factors. This review underscores the systemic underrepresentation of individuals racialized as Asian and/or Asian-American in ADRD research and the need for inclusive approaches accounting for culture, language, and immigration status. HIGHLIGHTS: There is considerable heterogeneity in the prevalence of ADRD among studies of Asian-Americans. There is limited data on group-specific risk factors for ADRD among Asian-Americans. The average prevalence of (ADRD) among Asian-Americans was found to be 7.4%, with a wide range from 0.5% to 46%.

Curbing COVID-19 progression and mortality with traditional Chinese medicine among hospitalized patients with COVID-19: A propensity score-matched analysis.

BACKGROUND: Viral- and host-targeted traditional Chinese medicine (TCM) formulae NRICM101 and NRICM102 were administered to hospitalized patients with COVID-19 during the mid-2021 outbreak in Taiwan. We report the outcomes by measuring the risks of intubation or admission to intensive care unit (ICU) for patients requiring no oxygen support, and death for those requiring oxygen therapy. METHODS: This multicenter retrospective study retrieved data of 840 patients admitted to 9 hospitals between May 1 and July 26, 2021. After propensity score matching, 302 patients (151 received NRICM101 and 151 did not) and 246 patients (123 received NRICM102 and 123 did not) were included in the analysis to assess relative risks. RESULTS: During the 30-day observation period, no endpoint occurred in the patients receiving NRICM101 plus usual care while 14 (9.27%) in the group receiving only usual care were intubated or admitted to ICU. The numbers of deceased patients were 7 (5.69%) in the group receiving NRICM102 plus usual care and 27 (21.95%) in the usual care group. No patients receiving NRICM101 transitioned to a more severe status; NRICM102 users were 74.07% less likely to die than non-users (relative risk= 25.93%, 95% confidence interval 11.73%-57.29%). CONCLUSION: NRICM101 and NRICM102 were significantly associated with a lower risk of intubation/ICU admission or death among patients with mild-to-severe COVID-19. This study provides real-world evidence of adopting broad-spectrum oral therapeutics and shortening the gap between outbreak and effective response. It offers a new vision in our preparation for future pandemics.

Variation in State COVID-19 Disease Reporting Forms on Social Identity, Social Needs, and Vaccination Status.

To assess variation in the way state health departments collect data on social identity, social needs, and vaccination status for people testing positive for COVID-19, we reviewed all state health department Web sites for COVID-19 disease reporting forms. We located forms for 39 states and coded each one for the presence and format of fields on race, ethnicity, disability, language, sexual and gender identity, comorbidities, pregnancy status, and social needs such as housing stability, occupation, and prior COVID-19 vaccination status. We find considerable variation in both type and format of data collected. For example, 10% of state forms have fields for race and ethnicity that are more disaggregated than the 5 US Census categories, 18% have fields on mental or physical ability, 37% have nonbinary or other fields for gender identity, 28% have fields on housing stability, and 15% have fields on vaccination status. Our findings suggest that national efforts to address COVID-19 may be limited by lack of standardization of data collection methods.

Taipei consensus on integrative traditional Chinese and Western Medicine.

BACKGROUND: Traditional Chinese medicine and western medicine have coexisted since 1958 in Taiwan. Integrative traditional Chinese and western medicine (TC&WM) remains to be studied and promoted. In response to the documentary report of WHO Traditional Medicine Strategy 2002-2005, the present study was planned and carried out. METHODS: During 2004-2008, 19 integrative TC&WM dialogue forums were held, in which 219 TC&WM scholars and professionals participated by invitation. The proceedings of the forums in Chinese were published. A study team was organized in 2009 to collect the consensus opinions, utilizing a Delphi method. The opinions collected were discussed in an international TC&WM forum held on November 1, 2014. RESULTS: The opinions of TC&WM experts and professionals on the integrative issues and values were quite divergent. Of the 39 integrative issues, 34 (87.8%) reached consensus, agreeing that WM is excellent in the diagnosis and treatment of diseases/disorders, yet is still evolving, and not perfect without defects. TCM is patient-centered, wellness-oriented, inadequate for acute, critical and life-threatening diseases, but has a complementary and alternative role to WM. Of the 44 diseases/disorders, 36 (81.8%) reached consensus, worthy for integrative clinical use or trials. CONCLUSIONS: Integrative TC&WM, combining the best features of two systems, could be a most useful and advanced healthcare medicine in the future, requiring development of regulations and guidelines for the use of TCM and more rigorous efforts have to be made in clinical trials.

The relationship between hospital and ehr vendor market dynamics on health information organization presence and participation.

BACKGROUND: Health Information Organizations (HIOs) are third party organizations that facilitate electronic health information exchange (HIE) between providers in a geographic area. Despite benefits from HIE, HIOs have struggled to form and subsequently gain broad provider participation. We sought to assess whether market-level hospital and EHR vendor dynamics are associated with presence and level of hospital participation in HIOs. METHODS: 2014 data on 4523 hospitals and their EHR vendors were aggregated to the market level. We used multivariate OLS regression to analyze the relationship between hospital and vendor dynamics and (1) probability of HIO presence and (2) percent of hospitals participating in an HIO. RESULTS: 298 of 469 markets (64%) had HIO presence, and in those markets, 47% of hospitals participated in an HIO on average. In multivariate analysis, four characteristics were associated with HIO presence. Markets with more hospitals, markets with more EHR vendors, and markets with an EHR vendor-led HIE approach were more likely to have an HIO. Compared to markets with low hospital competition, markets with high hospital competition had a 25 percentage point lower probability of HIO presence. Two characteristics were associated with level of hospital HIO participation. Markets with more hospitals as well as markets with high vendor competition (compared to low competition) had lower participation. CONCLUSION: Both hospital and EHR vendor dynamics are associated with whether a market has an HIO as well as the level of hospital participation in HIOs.

Latent profiles of stress and their relationships with depression and problematic Internet use among college freshmen.

As noted in previously published literature, college students frequently experience academic stress, financial stress, and the stresses caused by intimate, peer, and parent-adolescent relationships. The present study uses latent profile analysis to identify stress profiles based on the aforementioned five stressors among 430 college freshmen. Thereafter, we compare the levels of depression and problematic Internet use (PIU) among the different profile groups and investigate whether background variables could predict each latent stress group. Three latent groups were labelled as follows: Ordinary (n = 257, 59.77%); all moderate-high (n = 98, 22.79%); and college-life moderate-high (n = 75, 17.44%). Compared with the ordinary group, the all moderate-high and college-life moderate-high groups displayed significantly higher levels of depression. Moreover, the all moderate-high group had a severer level of PIU than the college-life moderate-high and ordinary groups. Interestingly, males and students who were dating were more likely to fall under the all moderate-high group than the college-life moderate-high group; but students who were more concerned with their academic performance were more likely to fall under the college-life moderate-high group than the all moderate-high group. These findings have important implications for college educators and school counsellors with regard to developing appropriate interventions as required.

Impulsivity as a precedent factor for problematic Internet use: How can we be sure?

Previous research has suggested that problematic Internet use (PIU) is associated with impulse control disorder. Although researchers have suggested that impulsivity is a risk factor for PIU, the literature lacks longitudinal evidence on the relationship between impulsivity and PIU. We aimed to use a cross-lagged analytic framework to identify temporal order effects and hypothesised that impulsivity was the precedent factor for PIU. In a panel sample of college students (N = 367), trait impulsivity and PIU were measured in the spring of freshman year and in their junior year. The measures included a self-developed PIU Scale and the revised Impulsiveness Scale based on Barratt's concept. We found that "non-planning impulsivity" was not associated with PIU. The "motor impulsivity" subfactor was thus adopted in the cross-lagged model. The results suggest that motor impulsivity and PIU were stable across time. Motor impulsivity at Time 1 positively predicted PIU at Time 2, but PIU at Time 1 did not predict motor impulsivity at Time 2. A further investigation using gender as a moderator found a gender difference in the temporal relationship. Because motor impulsivity is a risk factor for PIU, potential prevention strategies based on this result are suggested.

Examining the Application of the DC-IA-A Diagnostic Criteria for Internet Addiction Disorder in At-Risk College Students.

Internet addiction disorder is a relatively new condition, and the criteria for its diagnosis have been developed only over the last several years. The criteria for Internet addiction remain controversial. We strive to further elucidate the clinical validity of the diagnostic criteria for Internet addiction. To test items of the diagnostic criteria for Internet addiction among adolescents, we conducted a clinical interview study of college students based on longitudinal data on their risky use of the Internet. Forty-one high-risk cases were selected from a 3-year 5-time point longitudinal survey of 716 college freshmen. We examined disputes relevant to symptoms and impairment in the DC-IA-A (Diagnostic Criteria for Internet Addiction among Taiwanese Adolescents). Of the 41 cases, 21 were diagnosed with Internet addiction via a psychiatric interview. In the Internet addiction disorder group, 23.8% of cases had a diagnosis of depression, whereas only 15.0% of the cases in the non-Internet addiction group had a diagnosis of depression. Two major criteria (A8 and A3) had low incidences in these high-risk college students and thus did not help provide a differential diagnosis between the groups. We suggest that A8, 'excessive effort spent on activities necessary to obtain access to the Internet', should be omitted, and that A3, 'tolerance: a marked increase in the duration of Internet use needed to achieve satisfaction', should be modified. A1 and A9 should be discussed regarding their role in the diagnosis of Internet addiction disorder. Additional well-designed studies examining the diagnostic criteria and the relationship between factors are needed.

Examining the diagnostic criteria for Internet addiction: Expert validation.

BACKGROUND/PURPOSE: Internet addiction is the coming problem around the world. The diagnostic criteria for Internet addiction among adolescents (DC-IA-A) has become a widely used measure for assessing the presence of Internet addiction in Taiwan. This study examined the diagnosis criteria for Internet addiction in adolescents by expert evaluation. METHODS: Twenty psychiatrists rated the adequacy of each criterion in DC-IA-A. The content validity and homogeneity reliability proposed by Aiken were calculated. RESULTS: The coefficients content validity and homogeneity reliability showed twenty psychiatrists agreed on each of DC-IA-A as relevant to the diagnosis of Internet addiction, though several criteria need improvements. Two criteria "excessive time spent on Internet activities and leaving the Internet" and "excessive effort spent on activities necessary to obtain access to the Internet" should be omitted, and the criteria of "tolerance" should be modified. CONCLUSION: The diagnostic criteria for Internet addiction among adolescents should be revised to meet the real condition of this population.

The Health Information Technology special issue: making innovations impactful, ethical, and equitable.

A letter from the guest editor highlights how the findings in this special issue draw attention to critical questions that have arisen from health care's digital transformation.

Factors affecting the ability of patients with complex vascular anomalies to navigate the healthcare system.

BACKGROUND: Vascular anomalies (VAs) are rare congenital disorders that can cause pain, disfigurement, coagulopathy, asymmetric growth, and disability. Patients with complex VAs experience multiple barriers to accessing expert care. It is imperative to understand which factors support these patients' ability to navigate the healthcare system. RESULTS: We surveyed adult patients with VAs using previously validated measures, recruiting participants from five patient advocacy groups and multidisciplinary VA clinics. The primary outcome was self-reported ability to access needed medical care, using the "Navigating the Healthcare System" subscale of the Health Literacy Questionnaire. We evaluated factors associated with the ability to navigate the healthcare system using multivariate linear regression (n = 136). We also performed an exploratory model that included the primary care doctor's knowledge of VAs for the subset of participants with a primary care doctor (n = 114). Participants were predominantly women (n = 90, 66%), White and non-Hispanic (n = 109, 73%), and college-educated (n = 101, 73%). Most participants had PIK3CA-Related Overgrowth Spectrum (n = 107, 78%). Most participants reported that navigating the healthcare system was "sometimes" or "usually difficult" (mean score 16.4/30, standard deviation 5.6). In multivariate linear regression, ability to navigate the healthcare system was associated positively with quality of information exchange (ß = 0.38, 95% Confidence Interval (CI) 0.22 to 0.55, p <.001) and whether patients had VA specialists (ß = 2.31, 95% CI 0.35 to 4.28, p =.021), but not associated with patient self-advocacy, anxiety, education, age, race and ethnicity, gender, or having a primary care doctor. In exploratory analysis of participants with primary care doctors, ability to navigate the healthcare system was positively associated with quality of information exchange (ß = 0.27, 95% CI 0.09 to 0.45, p =.004), having a VA specialist (ß = 2.31, 95% CI 0.22 to 4.39, p =.031), and primary care doctors' VA knowledge (ß = 0.27, 95% CI 0.04 to 0.50, p =.023). CONCLUSION: Patients with VAs struggle to navigate the healthcare system. High-quality information from clinicians and more knowledgeable primary care doctors might help patients to access needed care. Relying on patient self-advocacy is insufficient. Future efforts should focus on patient-directed and clinician-directed educational interventions. Additionally, future work should assess the structural barriers that impede healthcare access for these patients.

Alternative Payment Models and Patient-Reported Quality of Preparation for Discharge: A Retrospective Longitudinal Study.

Preparing patients for posthospital care may improve readmission risk. Alternative payment models (APMs) incent hospitals to reduce readmissions by tying payment to outcomes. The impact of APMs on preparation for discharge is not well understood. We assessed whether patient-reported preparation for posthospital care was associated with reduced readmissions, and whether APM participation was associated with improved preparation for posthospital care. We used mixed-effects regression on retrospective (2013-2017) observational data for 2685 U.S. hospitals. We measured patient-reported preparation for posthospital care using the 3-Item Care Transition Measure and readmission using 30-day all-cause risk-adjusted readmissions from Hospital Compare. Participation in accountable care organizations (ACOs), Medical Homes, and Medicare's Bundled Payments for Care Improvement program was obtained from Medicare, the American Hospital Association's Annual Survey, and Leavitt Partner's ACO database. We found that APMs are not associated with improved preparation for posthospital care, even though it was associated with reduced readmissions (Marginal Effect: -0.012 percentage points). This may be because hospitals are not investing in patient engagement. This study has limited insight into causality and reduced generalizability among smaller, rural, and non-teaching hospitals.

Bundled payments lead to quality improvements in hospitals' skilled nursing facility referral networks.

OBJECTIVES: To assess whether hospitals participating in Medicare's Bundled Payments for Care Improvement (BPCI) program for joint replacement changed their referral patterns to favor higher-quality skilled nursing facilities (SNFs). STUDY DESIGN: Retrospective observational study using 2009-2015 inpatient and outpatient claims from a 20% sample of Medicare beneficiaries undergoing joint replacement in US hospitals (N = 146,074) linked with data from Medicare's BPCI program and Nursing Home Compare. METHODS: We ran fixed effect regression models regressing BPCI participation on hospital-SNF referral patterns (number of SNF discharges, number of SNF partners, and SNF referral concentration) and SNF quality (facility inspection survey rating, patient outcome rating, staffing rating, and registered nurse staffing rating). RESULTS: We found that BPCI participation was associated with a decrease in the number of SNF referrals and no significant change in the number of SNF partners or concentration of SNF partners. BPCI participation was associated with discharge to SNFs with a higher patient outcome rating by 0.04 stars (95% CI, 0.04-0.26). BPCI participation was not associated with improvements in discharge to SNFs with a higher facility survey rating (95% CI, -0.03 to 0.11), staffing rating (95% CI, -0.07 to 0.04), or registered nurse staffing rating (95% CI, -0.09 to 0.02). CONCLUSIONS: BPCI participation was associated with lower volume of SNF referrals and small increases in the quality of SNFs to which patients were discharged, without narrowing hospital-SNF referral networks.

A quick method to customize pictorial blood assessment tools towards better measurement: Method development and validation.

OBJECTIVE: Identification of heavy menstrual bleeding (HMB) cases in primary care settings is often done by using pictorial blood assessment charts (PBAC). The study aims to highlight the challenge of assessing blood loss, to develop a standardized method to efficiently customize a patient-reported pictorial chart, to validate the tool produced with our proposed method, and to demonstrate the feasibility of using PBACs in settings where resources are scarce. MATERIALS AND METHODS: Using blood samples and feedback from 21 women aged 30-51 years, we followed guidelines suggested in the literature, developed a method to produce PBACs for regular, long and night sizes, and had 9 participants testuse them. Linear regression analysis was performed to determine the correlation between participants' scores and menstrual blood weight. RESULTS: The study demonstrated the feasibility of customizing product-sensitive and size-specific pictorial charts by adopting essential steps including collecting menstrual blood with menstrual cups, employing fluid application techniques, and using sanitary pads as icons for easy identification. Linear regression analyses of score versus blood weight showed that the recorded blood weight was around 95% of the scored values (R2 = 0.9428, 0.947, and 0.9508, respectively; p < 0.001). CONCLUSION: Valid patient-reported PBACs created by the proposed method provides an innovative women's healthcare solution to assist HMB identification and reduce health expenditure by preventing risks for HMB related complications in varying economic and technological contexts. Women's participation in tracking menstrual abnormalities may improve health literacy.

Developing Personas of Gamers with Problematic Gaming Behavior among College Students Based on Qualitative Data of Gaming Motives and Push-Pull-Mooring.

Gaming is a popular but possibly problematic activity among college students. To distinguish gamers with potential problematic gaming behaviors (PGB) is crucial to mental health staff. Two studies were conducted that aimed to explore portraits of gamers with PGB in college campuses. The first study selected 20 college students, diagnosed with problematic gaming behaviors, from a longitudinal dataset and semi-structured interviews were conducted for a systematic description of long-term PGB. The second study selected four personas with the richest coding data of internet addiction and depression from 20 gamers. The profiles and life experiences of the personas showed changing processes of gaming motives and push-pull-mooring effects across the years. "Loss of purpose in life" and "desperate to escape from stress or boredom in the real world" were the important push effects. Mooring effects revealed their addiction or depression symptoms and the process of developing the addiction. The dynamics of "push", "pull", and "mooring" effects were clearly indicated in the results suggesting PGB might be a long-term coping strategy and a consequence of depression and loneliness. Dealing with depression and finding real-life goals could help PGB gamers to change the dynamics of their gaming motives and push-pull-mooring effects. The results may help develop interventions for gamers with problematic gaming behaviors.

Mental and physical health of adult patients affected by complex vascular anomalies.

OBJECTIVE: We examined care and communication factors that affect physical and mental health for patients with complex vascular anomalies (VAs). METHODS: VA patients (N = 135) completed an online survey with measures of ability to navigate healthcare, quality of information exchange, perceived stigma, and demographic variables. We performed linear regression to determine if these variables were associated with mental and physical health. RESULTS: Physical and mental health were associated with information exchange (ß = .41, 95% CI=.12 -.69; ß = .33, 95% CI=.04 -.62), stigma (ß = -.49, 95% CI=-.74 to -.24; ß = -.63, 95% CI=-.89 to -.38), and education (ß = 4.00, 95% CI=.63 - 7.38; ß = 3.44, 95% CI=.06 to 6.82). Ability to navigate healthcare was associated with health outcomes in our bivariate model, but not significant in a multivariate model. CONCLUSION: The results underscore the importance of effective information exchange. Poor information exchange was associated with worse physical and mental health. VA patients with lower education levels and higher perceived stigma reported poorer health outcomes and likely face many struggles accessing care. PRACTICE IMPLICATIONS: Patient-centered information exchange between clinicians and patients is needed to address unmet information needs. Clinicians can also reduce perceived stigma by validating patients, and should provide resources to reduce disparities related to education.

Identifying contributors to disparities in patient access of online medical records: examining the role of clinician encouragement.

Objective: The aim of this study was to understand the influence of clinician encouragement and sociodemographic factors on whether patients access online electronic medical records (EMR). Materials and Methods: We analyzed 3279 responses from the Health Information National Trends Survey 5 cycle 4 survey, a cross-sectional, nationally representative survey administered by the National Cancer Institute. Frequencies and weighted proportions were calculated to compare clinical encouragement and access to their online EMR. Using multivariate logistic regression, we identified factors associated with online EMR use and clinician encouragement. Results: In 2020, an estimated 42% of US adults accessed their online EMR and 51% were encouraged by clinicians to access their online EMR. In multivariate regression, respondents who accessed EMR were more likely to have received clinician encouragement (odds ratio [OR], 10.3; 95% confidence interval [CI], 7.7-14.0), college education or higher (OR, 1.9; 95% CI, 1.4-2.7), history of cancer (OR, 1.5; 95% CI, 1.0-2.3), and history of chronic disease (OR, 2.3; 95% CI, 1.7-3.2). Male and Hispanic respondents were less likely to have accessed EMR than female and non-Hispanic White respondents (OR, 0.6; 95% CI, 0.5-0.8, and OR, 0.5; 95% CI, 0.3-0.8, respectively). Respondents receiving encouragement from clinicians were more likely to be female (OR, 1.7; 95% CI, 1.3-2.3), have college education (OR, 1.5; 95% CI, 1.1-2.0), history of cancer (OR, 1.8; 95% CI, 1.3-2.5), and greater income levels (OR, 1.8-3.6). Discussion: Clinician encouragement of patient EMR use is strongly associated with patients accessing EMR, and there are disparities in who receives clinician encouragement related to education, income, sex, and ethnicity. Conclusions: Clinicians have an important role to ensure that all patients benefit from online EMR use.