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Background This study aimed to measure the association between electronic health record (EHR) use and quality measures in ambulatory healthcare. Methodology A quantitative, retrospective, cross-sectional design was used by examining secondary data from the 2015-2016 National Ambulatory Medical Care Survey. The relationship between EHR use and seven quality measures was examined using the Donabedian model as a framework. Quality measures included (a) diabetes measures, (b) obesity measures, (c) blood pressure screening, (d) depression screening, and (e) breast cancer screening. A total of 37,290 office visits were included, representing 817 million national office visits. For each of the quality measures, we determined the (a) associations using unadjusted and adjusted regression models based on subsets of the sample that met the inclusion criteria for quality measures; and (b) the changes in the area under the curve (AUC). Results Approximately 75% of office visits fulfilled all EHR use. Positive associations were found between EHR use and better quality for the following three out of seven measures: higher odds of screening for obesity (odds ratio (OR) = 2.2; p =0.0001), blood pressure (OR = 2.5; p =0.0001), and breast cancer (OR = 1.8; p = 0.0166). Receiver operating curve results showed the highest gain in the AUC for process-grouped measures. Hence, it was considered to be a strong predictor for all quality measures. Conclusions Evidence showed improvement in some quality measures (screening for obesity, blood pressure, and breast cancer). Common and standardized health processes were more likely to be completed and recorded than others. Future policies concerning health information technology can shift the focus from improving EHR use to enhancing patient and quality outcomes. Further research is needed to identify circumstances where quality is improved.

Objective The impact of stressful life events (SLEs) on health has been empirically studied with significant correlations documented. We developed a comprehensive stress rating toolkit, the Cross-Cultural Stress Scale (CCSS) from a triangulated qualitative research study. This article describes our pilot test of the scale to explore demographic-specific patterns of SLE scores and evaluate the scale's aptitude in assessing the stress-health correlation. Methods The face and content-validated CCSS was shared via a web-based survey to diverse individuals grouped by: (a) gender, (b) age, (c) race and ethnicity, (d) native, foreign-born or first-generation, (e) educational attainment, and (f) income. Participants from the Amazon crowdsourcing marketplace MTurk (N = 216) first indicated perceived stress intensities assuming experiences of all the SLEs in the CCSS. They then selected SLEs they had personally experienced in the last 12 months (N = 176). Multivariable analyses were conducted on perceived intensities. Correlations of experienced SLEs with self-reported health based on the Centers for Disease Control and Prevention (CDC) Health Related Quality of Life (HRQOL) indicators measured by the Behavioral Risk Factors Surveillance System (BRFSS) were analyzed. Results We validated the CCSS and obtained a high internal reliability (Cronbach's alpha >0.9). We found significant differences in stress rating by and within demographics. We also correlated stress to perceived health using the HRQOL and presence of a chronic disease ascertaining the stress-health hypothesis. Limitation Sampling limitations observed include data drawn from a convenience sample. Conclusion Despite sampling limitations, our research highlights demographic-specific stressors and offers an updated methodology in the stress-health correlation.

Background: Empirical evidence demonstrates the substantial burden of mental illness among people living with HIV and AIDS (PLWHA). Current literature also notes the co-morbidity of these two illnesses and its impact on quality of life and mortality. However, little evidence exists on patient outcomes, such as hospital length of stay or post-discharge status. Methods: A retrospective analysis of National Inpatient Sample data was conducted. The study population was defined as discharges having a primary diagnosis of HIV based on International Classification of Disease, 10th Revision, Clinical Modification (ICD-10-CM) codes in primary diagnosis field. Clinical Classification Software (CCS) codes are used to identify comorbid mental illness. Length of stay was defined as number of days between hospital admission and discharge. Disposition (or post-discharge status) was defined as routine versus not routine. Patient and hospital characteristics were used as control variables. All regression analyses were survey-weighted and adjusted for control variables. Results: The weighted population size (N) for this study was 26,055 (n = 5211). Among primary HIV discharges, presence of any mental illness as a secondary discharge was associated with 12% higher LOS, when compared to a lack of such comorbidity (incidence rate ratio [IRR] = 1.12, 95% confidence interval [CI] = 1.05, 1.22, p < 0.01). Likewise, among primary HIV discharges, those with mental illness had a 21% lower routine disposition, when compared to those without any mental illness (OR = 0.79, 95% CI = 0.68, 0.91, p < 0.001). Conclusion: Our results highlight the need for improved mental health screening and coordinated care to reduce the burden of mental illness among HIV discharges.

Low food security and poor mental health are a persistent concern for college students.Examine how food security and mental health are associated with college student's grade point average (GPA).American College Health Association (ACHA)-National College Health Assessment III survey data Spring 2020 of students from 75 US universities (The majority of the population self-reported high food security (58.3%) and moderate psychological distress (50.8%). Very low food security (Food security and mental health are negatively associated with GPA. To improve student success, universities must enhance services that address food insecurity and mental health.

Background: In the wake of the rising rate of prescription opioid misuse, there has been increased public health interest in the possibility that cannabis might help to curb or prevent opioid use d...

Background: Few studies have explored the relative burden and trends in pulmonary (PTB) vs. extra-pulmonary (EPTB) tuberculosis in the United States using a nationally representative sample. Methods: This study examined trends in hospitalization rates, length-of-stay (LOS), in-hospital mortality and inflation-adjusted charges, for PTB vs. EPTB using the Nationwide/National Inpatient Sample (NIS) from 1998 to 2014. Descriptive and multivariable analyses (linear, negative binomial and logistic) were utilized adjusting for demographics, co-morbidity and hospital characteristics. Results: During the study period there were a survey-adjusted, estimated 258,631 PTB (75.5%), 76,476 EPTB (22.3%) and 7552 concurrent PTB and EPTB (2.2%) discharges. Whites accounted for 27.6% of PTB, 21.9% of EPTB and 17.6% of concurrent discharges; and self-pay or no insurance accounted for 22.2%, 18.4%, and 25.9%, respectively. EPTB was more common among blacks (22.5%), and combined TB more common among Hispanics (24.8%). Mean LOS was 11.4 days, 13.2 days, and 19.5 days; with mean nominal charges of $48,031, $62,255, and $89,364 for PTB, EPTB and combined TB respectively. Inpatient mortality for all three groups was approximately 5.7%. Miliary TB and TB of meninges and central nervous system were positively associated with mortality (odds ratios of 2.44 and 2.11, respectively), as was alcohol abuse (OR 1.21). Trend analyses showed decreased hospitalizations for all TB types, no change in LOS trends, decreased mortality for PTB and ETB and increased charges for PTB and ETB from 1998 to 2014. Increased utilization, higher charges and higher risk of mortality (to some extent) among the EPTB cases warrant improved methods for screening, diagnosis and treatment. Conclusion: Though rates of TB hospitalization are declining, EPTB is becoming relatively more common and is more costly compared to pulmonary TB. Screening methods that focus on identification of ETB contrary to current practice guidelines are needed to aid ETB case finding. Keywords: Tuberculosis, Epidemiology, Health care utilization, Alcohol, Health care disparities

The Affordable Care Act (ACA) was passed in 2010 and implemented in 2014 in the United States (U.S.). It was partly intended to reduce the cost burden to health coverage and care.To determine if ACA implementation reduced the odds of experiencing cost barriers to needed healthcare services for vulnerable groups.National Health Interview Survey Data from the Integrated Public Use Microdata Set (2011-2013; 2015-2017) were used to examine cost barriers to primary health, mental health, dental services, and prescription medications particularly for adults living in poverty, those of color, and unmarried individuals before and after implementation of the ACA. The study sample included 112,245 individuals, representing an annual average of 138 million adults (aged 26 to 64 years of age), including 59,367 survey respondents from 2011 to 2013 and 52,878 from 2015 to 2017.Pre/post-ACA, cost barriers to medical care decreased from 9.6% to 7.0% of adults, mental care from 3.0% to 2.4%, dental care 15.0 to 11.7%, and prescriptions from 9.9% to 7.0% (all comparisons p.001). Survey design-adjusted regression results indicated significant decreases in the odds of experiencing cost barriers to physical, mental, dental health services and prescription medications after the implementation of the ACA for people living under 200% poverty, unmarried adults, and people of color. While the race was not a substantial barrier post-ACA, living in poverty and being unmarried remained the biggest predictors of cost barriers to services. Cost barriers for all services increased post ACA for adults with private coverage, and among older adults for prescription and dental services.While the ACA was largely successful in reducing the number of uninsured adults in the U.S., remaining barriers suggest the need to strengthen the ACA and reduce cost barriers to healthcare services for everyone.

Falls are the leading cause of injuries and death among the elderly in the United States (U.S.). This study examined unintentional fall related-injuries and potential associations between various consumer products. Data was analyzed from the National Electronic Injury Surveillance System (NEISS) of hospital emergency department (ED) visits for unintentional injuries among the elderly between 2007 and 2017. Multiple logistic regression was used to examine the association between consumer products and fall-related injury ED visits. A total of 537,703 injury-related ED visits were analyzed. Two-thirds of visits were fall-related. Of those, 33% were among those 85 years and older, 62.5% occurred at home, 37.6% had head trauma, and 28.7% resulted in hospitalization. Flooring materials accounted for 29.1% of injuries. Ladders were significantly associated with fall-related injuries (adjusted odds ratio [AOR] 5.48, 95% confidence interval [CI] 4.72-6.36), followed by flooring materials (AOR 3.09, 95% CI 2.60-3.67), and porches and balconies (AOR 2.61, 95% CI 2.30-2.96). Several common consumer products are associated with fall-related injuries among the elderly. Increased awareness and education are critical.

Background: One in five adults are diagnosed with mental illness in the United States. Young adults, ages 18 to 25, have the highest prevalence of depression (10.9%). Depression is also a risk fa...

Background and Purpose: Young adults who are 18 to 25 years old have the highest prevalence of depression (10.9%). Depression is a risk factor for suicide. Mental health literacy (MHL) is a key component in assessing recognition and help-seeking for depression with suicidal ideation. This study investigated MHL as it relates to help-seeking for depression with suicidal ideation. Methods: A crosssectional survey design was used. Participants were young adults (n= 430, ages 18 to 24 years old) who lived, worked, and/or attended school in San Francisco, California. Reavley and colleagues’ MHL survey was modified and made available in English, Spanish, and Chinese. Results: Several background factors were positively, though weakly, correlated to MHL, based on the r coefficient. Significant factors were: being female [r=.12, p

BackgroundAsthma disproportionately affects minority and low-income children. We examined asthma prevalence, management and outcomes, focusing on race/ethnicity and acculturation of parents (particularly English language proficiency).MethodsThis cross-sectional, correlational analysis used a de-identified population-based survey, the California Health Interview Survey, for years 2001–2015. Survey-weighted analysis with SAS 9.4 was used to determine asthma prevalence among children 1 to 11 years of age. Descriptive analysis was conducted, adjusting for survey design and combination of multiple years of data. The Pearson test, using design-based F values was used to determine statistically significant differences between those having/not having a doctor diagnosis of asthma. Multivariable logistic regression, with jackknife approach to obtain confidence intervals, was used to examine associations of child and parental characteristics with asthma prevalence, management, and outcomes.ResultsThe 61,625 completed surveys represented an estimated annual population of 5.7 million children, of which 12.9 % had asthma. There were significant (p ConclusionsSocio-demographics had a limited role in explaining differences across a handful of asthma management and outcome measures in California. Parental English language proficiency had the most consistent influence, underscoring the need for culturally and linguistically competent care.

Introduction Electronic Health Record (EHR) adoption rates for office-based physicians doubled between 2008 and 2015, from 42% to 89%, and more than 60% of all office-based physicians achieved meaningful use by 2016. The US government has paid billions of dollars in incentives to promote EHR meaningful use. Nonetheless, evidence linking EHR meaningful use to quality measures improvements is limited. Objective This study aims to examine the relationship between EHR meaningful use and capabilities among four quality measures in an ambulatory healthcare setting. Study design A cross-sectional study design of the 2015-2016 National Ambulatory Medical Care Survey dataset. Methods We used adjusted multivariate regression models to examine associations between (a) EHR meaningful use and (b) 10 EHR-computerized capabilities, with four quality measures (blood pressure screening, tobacco use screening, obesity screening, and obesity education). Results We analyzed 30,787 office visits, representing an annual estimate of 680 million national office visits. Results showed that 95% of visits were to offices meeting EHR meaningful use criteria. We found one positive association between EHR meaningful use and obesity screening (OR= 3.5, 95% CI [1.742-6.917]). We also found eight positive associations between EHR capabilities and three quality measures (screening for blood pressure and obesity, and obesity education). These associations included five EHR-computerized capabilities: “record patient problem list”, “view lab results”, “Reminders for interventions/screening”, “Order lab results” and “Recording clinical notes”. No EHR capability was associated with screening for tobacco use. Conclusions We looked at a handful of screening-oriented quality measures in ambulatory healthcare and found limited associations with EHR meaningful use but multiple positively significant associations with EHR capabilities. Although EHR meaningful use has become more commonly used, offering substantial administrative efficiency over paper records, current patterns of EHR meaningful use do not always appear to translate into a better quality of care in physician offices. However, quality measures used represent limited procedures for a handful of specific conditions and not the overall healthcare aspect.

In this study, we explored who is most likely to use electronic means to seek health information and why; our research was guided by the Health Belief Model (HBM). We used the National Cancer Institute’s Health Information Trends Survey (HINTS) dataset for 2017 and 2018 (n=6,697). We found that 67.5% of US adults used electronic means to seek health information and that females (52.4%), non-Hispanic whites (63.8%), those with at least some college education (76.5%), and those with a household income of at least $50,000 per year (58.3%) were most likely to do so. Respondents reporting depression were 42% more likely to use electronic means to seek health information, suggesting that stigma about mental health may direct people with depression to seek online information to avoid face-to-face communication. Using a tablet to track progress on a health-related goal [odds ratio (OR)=2.38, p

Background: Asthma continues to be the leading chronic disease affecting children in the United States. With mounting evidence of how diet plays a role in both chronic and allergic diseases, it is important to identify types of foods that may potentially promote a pro-inflammatory state. The study aims to examine the association between current asthma prevalence and intake of specific foods among children in California. Methods: Cross-sectional study conducting secondary analysis of data from the 2001 to 2015 California Health Interview Survey (CHIS) child surveys. A total of 65,565 completed surveys met the eligibility criteria (children ages 2–11) between the years 2001 and 2015. After excluding children with less than 2 years of age (for whom diet questions were not asked), analysis was conducted using 56,312 surveys. Multivariable logistic regression models estimated the adjusted odds ratios (ORs) and 95% CIs for the association of dietary intake with current asthma, controlling for confounding variables: gender, age, race, weight status, parent's education, English language proficiency of parent, household income, and location of residence. Analyses were survey weighted using raking variables to adjust for the oversampling and nonresponse surveys to reflect California Department of Finance Population Estimates for each survey period. Results: Approximately 13.4% of children in California currently have asthma. Consuming three or more sodas per day (adjusted OR = 1.83, 95% CI: 1.22–2.76, P = 0.004), two or more servings of French fries per day (adjusted odds ratio = 1.89, 95% CI: 1.08–3.21, P = 0.026), and fast food two or more times per week (adjusted odds ratio = 1.21, 95% CI: 1.02–1.45, P = 0.031) were positively associated with the prevalence for asthma. Conclusion: Analysis showed that children consuming energy dense foods were significantly associated with greater odds for current asthma after controlling for potential confounders.

Background and Purpose: The Patient Protection and Affordable Care Act resulted in establishment of Covered California (Covered CA), a marketplace providing federally subsidized health insurance in California. This study explored whether obtaining Covered CA coverage improves healthcare access and utilization among Latinos, and whether acculturation plays a role in utilization of healthcare. Methods: 270 Latino adults in San Diego community completed a self-report survey. Results: Those with Covered CA were significantly more likely to have a main provider (p

Background While the link between frequent cannabis use and alcohol use disorders is well documented, it is not clear whether alcohol drinkers who use cannabis less frequently are also vulnerable to alcohol use disorders. We estimate the association of frequency of past 12-months cannabis use with alcohol-associated adverse effects variables in the same time frame: alcohol dependence, heavy drinking, driving under alcohol influence, alcohol-related interpersonal problems, use after interpersonal problems, alcohol-related risky behaviors, and alcohol-related legal problems. Methods We analyzed data from U.S. individuals aged 12 to 25 years who participated in annual, cross-sectional U.S. National Surveys on Drug Use and Health from 2002 to 2014. Logistic regression models were used to examine the association of cannabis use with six alcohol-associated adverse effects variables. Frequency of cannabis use served as the primary independent variable, and were divided into four categories: frequent use (21–30 days per month), less frequent use (1–20 days per month), no use over the past 12 months, and no lifetime cannabis use. Alcohol dependence and six alcohol-associated adverse effects variables served as our primary outcomes. Results The study included 465,090 respondents aged 12 to 25 years, among all past-year cannabis users, (47.5%) were less frequent (1–20 days/month) users. Less frequent cannabis use was highest among male, 15–25-year-olds, and non-Hispanic white 11.8, 84 and 10.6%, respectively. In adjusted models, past-year less frequent cannabis use (1–20 days/month) was significantly associated with past-year alcohol dependence (adjusted odds ratio aOR 5.57, 95% confidence interval (CI) 5.5–6.4); heavy drinking in the past-year (aOR 3.41, 95% CI 3.2–3.5); alcohol-related interpersonal problems in the past-year (aOR 7.33, 95% CI 7.0–7.5); use after interpersonal problems (aOR 5.17, 95% CI 4.8–5.5); alcohol-related risky behaviors (aOR 7.29, 95% CI 7.0–7.5), and, driving under influence of alcohol (aOR 7.19, 95% CI 6.9–7.4). No cannabis use past-year were more likely to report alcohol dependence (aOR 2.81, 95% CI 2.6–3) compared with no lifetime cannabis use. Conclusion These findings indicated that within the general population, not only frequent cannabis user (21–30 days per month) but even less frequent cannabis use (1–20 days/month) was significantly associated with past-year alcohol dependence and alcohol-associated adverse effects than no lifetime cannabis use. These adverse alcohol-related outcomes associated with less frequent cannabis use, should be taken under careful consideration in alcohol use disorder treatment setting and policy planning.

California Health Interview Survey (2005-2015) data were used to examine the association between dietary intake frequencies and mental health - Kessler-6 scores categorised as no/low (NLPD), moderate (MPD) or serious psychological distress (SPD). The 245,891 surveys represented 27.7 million adults annually, with 13.2% having MPD and 3.7% SPD. Survey-adjusted regression adjusting for gender, age, race, education, poverty, marital status, BMI, geography and year found MPD and SPD associated with lower consumption of fruits (adjusted odds ratio 0.79 and 0.65, respectively), vegetables (AOR 0.81 and 0.68), and increased consumption of French fries (AOR 1.24, 1.30), fast food (AOR 1.32, 1.27), soda (AOR 1.23, 1.26) and variance-adjusted daily teaspoons of sugar (coefficients 3.05, 4.21), all p-values less than 0.001. In this large population-based sample, moderate and SPD were independently associated with unhealthy diet. Targeted public health interventions could focus on young adults and those with less than 12 years of education.

Primarily we aimed to examine the crude and standardized schizophrenia hospitalization trend from 2005 to 2014. We hypothesized that there will be a statistically significant linear trend in hospitalization rates for schizophrenia from 2005 to 2014. Secondarily we also examined trends in hospitalization by race/ethnicity, age, gender, as well as trends in hospitalization Length of Stay (LOS) and inflation adjusted cost.In this observational study, we used Nationwide Inpatient Sample data and International Classification of Diseases, Eleventh Revisions codes for Schizophrenia, which revealed 6,122,284 cases for this study. Outcomes included crude and standardized hospitalization rates, race/ethnicity, age, cost, and LOS. The analysis included descriptive statistics, indirect standardization, Rao-Scott Chi-Square test, t-test, and adjusted linear regression trend.Hospitalizations were most prevalent for individuals ages 45-64 (38.8%), African Americans were overrepresented (25.8% of hospitalizations), and the gender distribution was nearly equivalent. Mean LOS was 9.08 days (95% confidence interval 8.71-9.45). Medicare was the primary payer for most hospitalizations (55.4%), with most of the costs ranging from $10,000-$49,999 (57.1%). The crude hospitalization rates ranged from 790-1142/100,000 admissions, while the US 2010 census standardized rates were 380-552/100,000 from 2005-2014. Linear regression trend analysis showed no significant difference in trend for race/ethnicity, age, nor gender (P > .001). The hospitalizations' overall rates increased while LOS significantly decreased, while hospitalization costs and Charlson's co-morbidity index increased (P