Revealing the divide: Contrasting COVID-19 outcomes in Green Houses and traditional nursing homes in the United States.

INTRODUCTION: This study compares COVID-19 case and mortality rates in Green Houses (GHs) and traditional nursing homes (NHs) during the COVID-19 pandemic. METHODS: CMS data from 10 states (June 2020 to September 2022) were analyzed for GHs (n = 19), small NHs (n = 266), and large NHs (n = 2,932). Multivariate Poisson regressions with GEE were used. RESULTS: Participants (mean age 73.4) were predominantly female (57.8 %) and White (78.2 %). Small and large NHs had a significantly higher COVID-19 case risk (RR = 1.61; 95 % CI 1.25-2.08 and RR = 1.75; 95 % CI 1.36-2.24, respectively) compared to GHs. Large NHs also had an increased mortality risk (RR = 1.67; 95 % CI 1.01-2.77) compared to GHs, with no difference found between GHs and small NHs. CONCLUSION: After adjusting for age, gender, and ADL disability, GHs demonstrated lower COVID-19 case and mortality rates than traditional NHs, likely due to their unique features, including person-centered care, size, and physical structure.

Determinants associated with medical-related long-term care service use among community-dwelling older adults in Taiwan.

INTRODUCTION: Medical-related long-term care (LTC) service use among community-dwelling older adults in Taiwan is resource-intensive, and planning is essential to promote aging-in-place. METHODS: Administrative data from 4/1/2017 to 11/26/2019 among more than 14,000 residents were analyzed with generalized estimating equations (GEEs) to identify determinants of medical-related LTC service use. RESULTS: Older adults using medical-related LTC services tended to be younger (79.9 vs. 80.7; p<.0001), male (42.7% vs. 38.5%; p<.0001), multi-morbid (3.1 vs. 2.5; p<.0001), and higher mean activities of daily living (ADL) disability (8.2 vs. 4.2; p<.0001), instrumental ADL (IADL) disability (11.0 vs. 9.1; p<.0001), and hospitalizations (1.1 vs. 0.4; p<.0001). Significant determinants of medical-related LTC services include age, education, stroke, coronary heart disease, diabetes, vision impairment, ADL disability, and prior hospitalization. DISCUSSION: The success of LTC 2.0 will depend on ADL support and care coordination to manage chronic conditions such as diabetes, vision impairment, coronary heart disease, and stroke.

Biomonitoring of exposure to Great Lakes contaminants among licensed anglers and Burmese refugees in Western New York: Toxic metals and persistent organic pollutants, 2010-2015.

Between 2010 and 2015, the New York State Department of Health (NYSDOH) conducted a biomonitoring program to gather exposure data on Great Lakes contaminants among licensed anglers and Burmese refugees living in western New York who ate locally caught fish. Four hundred and nine adult licensed anglers and 206 adult Burmese refugees participated in this program. Participants provided blood and urine samples and completed a detailed questionnaire. Herein, we present blood metal levels (cadmium, lead, and total mercury) and serum persistent organic pollutant concentrations [polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), dichlorodiphenyldichloroethylene (DDE), and trans-nonachlor]. Multiple linear regression was applied to investigate the associations between analyte concentrations and indicators of fish consumption (locally caught fish meals, store-bought fish meals, and consuming fish/shellfish in the past week). Licensed anglers consumed a median of 16 locally caught fish meals and 22 store-bought fish meals while Burmese refugees consumed a median of 106 locally caught fish meals and 104 store-bought fish/shellfish meals in the past year. Compared to the general U.S. adult population, licensed anglers had higher blood lead and mercury levels; and Burmese refuges had higher blood cadmium, lead, and mercury, and higher serum DDE levels. Eating more locally caught fish was associated with higher blood lead, blood mercury, and serum ∑PCBs concentrations among licensed anglers. Licensed anglers and Burmese refugees who reported fish/shellfish consumption in the past week had elevated blood mercury levels compared with those who reported no consumption. Among licensed anglers, eating more store-bought fish meals was also associated with higher blood mercury levels. As part of the program, NYSDOH staff provided fish advisory outreach and education to all participants on ways to reduce their exposures, make healthier choices of fish to eat, and waters to fish from. Overall, our findings on exposure levels and fish consumption provide information to support the development and implementation of exposure reduction public health actions.

Inpatient admissions and costs for adolescents and young adults with congenital heart defects in New York, 2009-2013.

OBJECTIVES: Most individuals born with congenital heart defects (CHDs) survive to adulthood, but healthcare utilization patterns for adolescents and adults with CHDs have not been well described. We sought to characterize the healthcare utilization patterns and associated costs for adolescents and young adults with CHDs. METHODS: We examined 2009-2013 New York State inpatient admissions of individuals ages 11-30 years with ≥1 CHD diagnosis codes recorded during any admission. We conducted multivariate linear regression using generalized estimating equations to examine associations between inpatient costs and sociodemographic and clinical variables. RESULTS: We identified 5,100 unique individuals with 9,593 corresponding hospitalizations over the study period. Median inpatient cost and length of stay (LOS) were $10,720 and 3.0 days per admission, respectively; 55.1% were emergency admissions. Admission volume increased 48.7% from 2009 (1,538 admissions) to 2013 (2,287 admissions), while total inpatient costs increased 91.8% from 2009 ($27.2 million) to 2013 ($52.2 million). Inpatient admissions and costs rose more sharply over the study period for those with nonsevere CHDs compared to severe CHDs. Characteristics associated with higher costs were longer LOS, severe CHD, cardiac/vascular hospitalization classification, surgical procedures, greater severity of illness, and admission in New York City. CONCLUSION: This study provides an informative baseline of health care utilization patterns and associated costs among adolescents and young adults with CHDs in New York State. Structured transition programs may aid in keeping this population in appropriate cardiac care as they move to adulthood.

Do Nursing Home Residents With Dementia Receive Pain Interventions?

This study compares pain interventions received by nursing home residents with and without dementia. Secondary data analyses of cross-sectional data from 50,673 nursing home residents in New York State were collected by the Minimum Data Set 3.0. Frequency distributions and bivariate analyses with χ2 tests were used to organize and summarize the data. Logistic regression analyses were performed to quantify the relationship between dementia and pain interventions. Our results show that residents with dementia had significantly fewer pain assessments and less reported pain presence than their counterparts. After adjusting for covariates, the results indicate that residents with dementia were significantly less likely to receive pro re nata and nonmedication pain intervention. However, there were no significant differences in scheduled pain medication between the 2 groups. To address the gap, we need more research to design a pain assessment tool that can differentiate severity of pain so that appropriate interventions can be applied.

A population-based case-control study of the association between weather-related extreme heat events and orofacial clefts.

BACKGROUND: Limited epidemiologic research exists on the association between weather-related extreme heat events (EHEs) and orofacial clefts (OFCs). We estimated the associations between maternal exposure to EHEs in the summer season and OFCs in offspring and investigated the potential modifying effect of body mass index on these associations. METHODS: We conducted a population-based case-control study among mothers who participated in the National Birth Defects Prevention Study for whom at least 1 day of their first two post-conception months occurred during summer. Cases were live-born infants, stillbirths, and induced terminations with OFCs; controls were live-born infants without major birth defects. We defined EHEs using the 95th and the 90th percentiles of the daily maximum universal apparent temperature distribution. We used unconditional logistic regression with Firth's penalized likelihood method to estimate adjusted odds ratios and 95% confidence intervals, controlling for maternal sociodemographic and anthropometric variables. RESULTS: We observed no association between maternal exposure to EHEs and OFCs overall, although prolonged duration of EHEs may increase the risk of OFCs in some study sites located in the Southeast climate region. Analyses by subtypes of OFCs revealed no associations with EHEs. Modifying effect by BMI was not observed. CONCLUSIONS: We did not find a significantly increased risk of OFCs associated with maternal exposure to EHEs during the relevant window of embryogenesis. Future studies should account for maternal indoor and outdoor activities and for characteristics such as hydration and use of air conditioning that could modify the effect of EHEs on pregnant women.

Economic Valuation of Selected Illnesses in Environmental Public Health Tracking.

BACKGROUND: In benefit-cost analysis of public health programs, health outcomes need to be assigned monetary values so that different health endpoints can be compared and improvement in health can be compared with cost of the program. There are 2 major approaches for estimating economic value of illnesses: willingness to pay (WTP) and cost of illness (COI). In this study, we compared these 2 approaches and summarized valuation estimates for 3 health endpoints included in the Centers for Disease Control and Prevention's National Environmental Public Health Tracking Network-asthma, carbon monoxide (CO) poisoning, and lead poisoning. METHOD: First, we compared results of WTP and COI estimates reported in the peer-reviewed literature when these 2 methods were applied to the same study participants. Second, we reviewed the availability and summarized valuations using these 2 approaches for 3 health endpoints. RESULT: For the same study participants, WTP estimates in the literature were higher than COI estimates for minor and moderate cases. For more severe cases, with substantial portion of the costs paid by the third party, COI could exceed WTP. Annual medical cost of asthma based on COI approach ranged from $800 to $3300 and indirect costs ranged from $90 to $1700. WTP to have no asthma symptoms ranged from $580 to $4200 annually. We found no studies estimating WTP to avoid CO or lead poisoning. Cost of a CO poisoning hospitalization ranged from $14 000 to $17 000. For patients who sustained long-term cognitive sequela, lifetime earnings and quality-of-life losses can significantly exceed hospitalization costs. For lead poisoning, most studies focused on lead exposure and cognitive ability, and its impact on lifetime earnings. CONCLUSION: For asthma, more WTP studies are needed, particularly studies designed for conditions that involve third-party payers. For CO poisoning and lead poisoning, WTP studies need to be conducted so that more comprehensive economic valuation estimates can be provided. When COI estimates are used alone, it should be clearly stated that COI does not fully capture the nonmarket cost of illness, such as pain and suffering, which highlights the need for WTP estimates.

Population-based case-control study of the association between weather-related extreme heat events and neural tube defects.

BACKGROUND: Elevated body core temperature has been shown to have teratogenic effects in animal studies. Our study evaluated the association between weather-related extreme heat events (EHEs) in the summer season and neural tube defects (NTDs), and further investigated whether pregnant women with a high pregestational body mass index (BMI) have a greater risk of having a child with NTDs associated with exposure to EHE than women with a normal BMI. METHODS: We conducted a population-based case-control study among mothers of infants with NTDs and mothers of infants without major birth defects, who participated in the National Birth Defects Prevention Study and had at least 1 day of the third or fourth week postconception during summer months. EHEs were defined using the 95th and the 90th percentiles of the daily maximum universal apparent temperature. Adjusted odds ratios and 95% confidence intervals were calculated using unconditional logistic regression models with Firth's penalized likelihood method while controlling for other known risk factors. RESULTS: Overall, we did not observe a significant association between EHEs and NTDs. At the climate region level, consistently elevated but not statistically significant estimates were observed for at least 2 consecutive days with daily universal apparent maximum temperature above the 95th percentile of the UATmax distribution for the season, year, and weather monitoring station in New York (Northeast), North Carolina and Georgia (Southeast), and Iowa (Upper Midwest). No effect modification by BMI was observed. CONCLUSION: EHEs occurring during the relevant developmental window of embryogenesis do not appear to appreciably affect the risk of NTDs. Future studies should refine exposure assessment, and more completely account for maternal activities that may modify the effects of weather exposure. Birth Defects Research 109:1482-1493, 2017.© 2017 Wiley Periodicals, Inc.

Utility of Capture-Recapture Methodology to Estimate Prevalence of Congenital Heart Defects Among Adolescents in 11 New York State Counties: 2008 to 2010.

BACKGROUND: Congenital heart defects (CHDs) are the most common birth defects in the United States, and the population of individuals living with CHDs is growing. Though CHD prevalence in infancy has been well characterized, better prevalence estimates among children and adolescents in the United States are still needed. METHODS: We used capture-recapture methods to estimate CHD prevalence among adolescents residing in 11 New York counties. The three data sources used for analysis included Statewide Planning and Research Cooperative System (SPARCS) hospital inpatient records, SPARCS outpatient records, and medical records provided by seven pediatric congenital cardiac clinics from 2008 to 2010. Bayesian log-linear models were fit using the R package Conting to account for dataset dependencies and heterogeneous catchability. RESULTS: A total of 2537 adolescent CHD cases were captured in our three data sources. Forty-four cases were identified in all data sources, 283 cases were identified in two of three data sources, and 2210 cases were identified in a single data source. The final model yielded an estimated total adolescent CHD population of 3845, indicating that 66% of the cases in the catchment area were identified in the case-identifying data sources. Based on 2010 Census estimates, we estimated adolescent CHD prevalence as 6.4 CHD cases per 1000 adolescents (95% confidence interval: 6.2-6.6). CONCLUSION: We used capture-recapture methodology with a population-based surveillance system in New York to estimate CHD prevalence among adolescents. Future research incorporating additional data sources may improve prevalence estimates in this population. Birth Defects Research 109:1423-1429, 2017.© 2017 Wiley Periodicals, Inc.

Are Hospital/ED Transfers Less Likely Among Nursing Home Residents With Do-Not-Hospitalize Orders?

OBJECTIVES: This study aims to examine whether an advance directive "Do Not Hospitalize" (DNH) would be effective in reducing hospital/emergency department (ED) transfers. Similar effects in residents with dementia were also examined. DESIGN: Cross-sectional study. SETTING/SUBJECTS: New York State (NYS) nursing home residents (n = 43,024). MEASUREMENTS AND ANALYSIS: The Minimum Data Set 2.0 was used to address the study aims. Advance directives with an indication of DNH and Alzheimer disease/dementia other than Alzheimer disease were coded (yes vs no). Logistic regression analyses were performed to quantify the relationship between DNH orders and hospital/ED transfers while adjusting for confounders. RESULTS: Our results show that 61% of nursing home residents had do-not-resuscitate orders, 12% had feeding restrictions, and only 6% had DNH orders. Residents with DNH orders had significantly fewer hospital stays (3.0% vs 6.8%, P <.0001) and ED visits (2.8% vs 3.6%, P = .03) in the last 90 days than those without DNH orders. Dementia residents with DNH orders had significantly fewer hospital stays (2.7% vs 6.3%, P < .0001) but not ED visits (2.8% vs 3.5%, P = .11) than those without DNH orders. After adjusting for covariates in the model, the results show that for residents without DNH orders, the odds of being transferred to a hospital was significantly higher (odds ratio = 2.23, 95% confidence interval = 1.77-2.81) than those with DNH orders. CONCLUSION: Residents with DNH orders had significantly fewer transfers. This suggests that residents' end-of-life care decisions were respected and honored. Efforts should be made to encourage nursing home residents to complete DNH orders to promote integration of the resident's values and goals in guiding care provision toward the end of life.

Parsimonious covariate selection for a multicategory ordered response.

We propose a flexible continuation ratio (CR) model for an ordinal categorical response with potentially ultrahigh dimensional data that characterizes the unique covariate effects at each response level. The CR model is the logit of the conditional discrete hazard function for each response level given covariates. We propose two modeling strategies, one that keeps the same covariate set for each hazard function but allows regression coefficients to arbitrarily change with response level, and one that allows both the set of covariates and their regression coefficients to arbitrarily change with response. Evaluating a covariate set is accomplished by using the nonparametric bootstrap to estimate prediction error and their robust standard errors that do not rely on proper model specification. To help with interpretation of the selected covariate set, we flexibly estimate the conditional cumulative distribution function given the covariates using the separate hazard function models. The goodness-of-fit of our flexible CR model is assessed with graphical and numerical methods based on the cumulative sum of residuals. Simulation results indicate the methods perform well in finite samples. An application to B-cell acute lymphocytic leukemia data is provided.

Seasonal and temperature modifications of the association between fine particulate air pollution and cardiovascular hospitalization in New York state.

It is known that extreme temperature and ambient air pollution are each independently associated with human health outcomes. However, findings from the few studies that have examined modified effects by seasons and the interaction between air pollution and temperature on health endpoints are inconsistent. This study examines the effects of short-term PM2.5 (particulate matter less than or equal to 2.5µm in aerodynamic diameter) on hospitalization for cardiovascular diseases (CVDs), its modifications by season and temperature, and whether these effects are heterogeneous across different regions in New York State (NYS). We used daily average temperature and PM2.5 concentrations as exposure indicators and performed a time series analysis with a quasi-Poisson model, controlling for possible confounders, such as time-relevant variables and dew point, for CVDs in NYS, 1991-2006. Stratification parametric models were applied to evaluate the modifying effects by seasons and temperature. Across the whole year, a 10-µg/m3 increment in PM2.5 concentration accounted for a 1.37% increase in CVDs (95% confidence interval (CI): 0.90%, 1.84%) in New York City, Long Island & Hudson. The PM2.5 effect was strongest in winter, with an additional 2.06% (95% CI: 1.33%, 2.80%) increase in CVDs observed per 10-µg/m3 increment in PM2.5. Temperature modified the PM2.5 effects on CVDs, and these modifications by temperature on PM2.5 effects on CVDs were found at low temperature days. These associations were heterogeneous across four PM2.5 concentration regions. PM2.5 was positively associated with CVD hospitalizations. The short-term PM2.5 effect varied with season and temperature levels, and stronger effects were observed in winter and at low temperature days.

Extreme winter temperature and birth defects: a population-based case-control study.

BACKGROUND/OBJECTIVE: We examined the relationship between extreme winter temperatures and birth defects to determine whether pregnant women might be vulnerable to the weather extremes expected with climate change. METHODS: In this population-based, case-control study, we linked the New York State Congenital Malformations Registry to birth certificates (1992-2006). Cases were defined as live births with birth defects, and controls were selected from a 10% random sample of live births. We assigned meteorological data based on maternal birth residence and summarized universal apparent temperature across gestational weeks 3-8 (embryogenesis). We defined an extreme cold day as a day with mean temperature below the 10th percentile of the regional winter temperature distribution and a cold spell as 3 consecutive extreme cold days. We averaged temperature for each week of the first trimester to identify susceptible periods. We estimated adjusted odds ratios (ORs) and 95% confidence intervals (CIs) with multivariable logistic regression for 30 birth defects groups. RESULTS: Among 13,044 cases and 59,884 controls with at least 1 week of embryogenesis in winter, coarctation of the aorta was associated with a 1°C decrease in mean universal apparent temperature (OR 1.06, 95% CI 1.02-1.11), cold spell (OR 1.61, 95% CI 1.11-2.34), and number of extreme cold days. We observed reduced odds of hypoplastic left heart syndrome and dislocated hip for some cold indicators. CONCLUSIONS: Most birth defects were not associated with cold indicators; however, we found positive associations between cold indicators and coarctation of the aorta in the biologically-relevant developmental window which warrants replication.

Effect of comorbidity on functional recovery after hip fracture in the elderly.

OBJECTIVE: The aim of this study was to assess the relationship between self-reported disease burden (stroke, congestive heart failure, diabetes, chronic obstructive pulmonary disease, arthritis, or cancer) and functional improvement during and after inpatient rehabilitation among older adults with hip fractures. DESIGN: This is a longitudinal study examining 238 community-dwelling adults 65 yrs or older with unilateral hip fractures who underwent surgical repair and inpatient rehabilitation and were followed for 1 yr after discharge from the inpatient rehabilitation facility. The Functional Independence Measure (FIM) instrument was the outcome variable, collected at inpatient rehabilitation facility admission and discharge and at 2, 6, and 12 mos after discharge from the inpatient rehabilitation facility. A mixed-effect model was applied to quantify FIM functional improvement patterns between groups with and without selected preexisting chronic conditions while adjusting for potential confounders. RESULTS: Maximum functional improvement occurred during rehabilitation and the first 6 mos after rehabilitation for all six chronic conditions under study. In regard to the effect of disease on selected FIM outcomes, compared with patients without the selected preexisting chronic conditions, those who have had a stroke had significantly worse self care (ß = -0.33; P = 0.02), transfer (ß = -0.36; P = 0.03), and locomotion (ß = -0.84; P = 0.0005) ratings, whereas the patients with congestive heart failure had significantly worse transfer (ß = -0.59; P = 0.001) and locomotion (ß = -0.71; P = 0.01) ratings. Significant interactions in stroke with time were seen in self-care (ß = -0. 03; P = 0.04), suggesting that those who have had a stroke before hip fracture had poorer functional improvement over time than those who did not have the conditions. The patients with congestive heart failure demonstrated a faster rate of recovery over time in locomotion than those without (ß = 0.06; P = 0.03). CONCLUSIONS: Intervention strategies should monitor the first 6 mos after discharge from inpatient rehabilitation, during which the maximum level of functional improvement is expected. However, the individuals who have had a stroke had poor functional improvement at 1 yr (adjusted mean FIM score, 5.74) than those who have not had a stroke (adjusted mean FIM score, 6.56). The patients who have had a stroke required human supervision at 12 mos after rehabilitation. Therefore, long-term care needs should be monitored in the discharge plan.

Excessive heat and respiratory hospitalizations in New York State: estimating current and future public health burden related to climate change.

BACKGROUND: Although many climate-sensitive environmental exposures are related to mortality and morbidity, there is a paucity of estimates of the public health burden attributable to climate change. OBJECTIVE: We estimated the excess current and future public health impacts related to respiratory hospitalizations attributable to extreme heat in summer in New York State (NYS) overall, its geographic regions, and across different demographic strata. METHODS: On the basis of threshold temperature and percent risk changes identified from our study in NYS, we estimated recent and future attributable risks related to extreme heat due to climate change using the global climate model with various climate scenarios. We estimated effects of extreme high apparent temperature in summer on respiratory admissions, days hospitalized, direct hospitalization costs, and lost productivity from days hospitalized after adjusting for inflation. RESULTS: The estimated respiratory disease burden attributable to extreme heat at baseline (1991-2004) in NYS was 100 hospital admissions, US$644,069 in direct hospitalization costs, and 616 days of hospitalization per year. Projections for 2080-2099 based on three different climate scenarios ranged from 206-607 excess hospital admissions, US$26-$76 million in hospitalization costs, and 1,299-3,744 days of hospitalization per year. Estimated impacts varied by geographic region and population demographics. CONCLUSIONS: We estimated that excess respiratory admissions in NYS due to excessive heat would be 2 to 6 times higher in 2080-2099 than in 1991-2004. When combined with other heat-associated diseases and mortality, the potential public health burden associated with global warming could be substantial.