Predictors of overnight hospital admission in older African American and Caucasian Medicare beneficiaries

Emergency Department Utilization, Hospital Admissions, and Office-Based Physician Visits Among Under-Resourced African American and Latino Older Adults

OBJECTIVES

This study uses a theoretical model to explore (a) emergency department (ED) utilization, (b) hospital admissions, and (c) office-based physician visits among sample of under-resourced African American and Latino older adults.

METHODS

Nine hundred five African American and Latino older adults from an under-resourced urban community of South Los Angeles participated in this study. Data was collected using face-to-face interviews. Poisson and logistic regression analysis were used to estimate the parameters specified in the Andersen behavioral model. Predictors included predisposing factors, defined as demographic and other personal characteristics that influence the likelihood of obtaining care, and enabling factors defined as personal, family, and community resources that support or encourage efforts to access health services.

RESULTS

African American older adults have a greater frequency of hospital admissions, ED, and physician visits than their Latino counterparts. About 25%, 45%, and 59% of the variance of the hospital admissions, ED utilization, and physician visits could be explained by predisposing and enabling characteristics. Lower health-related quality of life was associated with a higher number of hospital admissions, ED, and physician visits. Financial strain and difficulty accessing medical care were associated with a higher number of hospital admissions. Being covered by Medicare and particularly Medi-Cal were positively associated with higher hospital admissions, ED, and physician visits.

DISCUSSION

Compared to African American older adults, Latino older adults show higher utilization of (a) emergency department (ED) utilization, (b) hospital admissions, and (c) office-based physician visits. A wide range of predisposing and enabling factors such as insurance and financial difficulties correlate with some but not other types of health care use. Multi-disciplinary, culturally sensitive, clinic- and community-based interventions are needed to address enabling and predisposing factors that influence ED utilization and hospital admission among African American and Latino older adults in under-resourced communities.

Determinants of Healthcare Use Based on the Andersen Model: A Systematic Review of Longitudinal Studies

The aim was to give an overview of longitudinal observational studies investigating the determinants of healthcare use explicitly using the Andersen model. To this end, three electronic databases (Medline, PsycINFO and CINAHL) were searched (and an additional hand search was performed). Longitudinal observational studies examining the determinants of healthcare use (outpatient physician services and hospital stays) based on the Andersen model were included, whereas disease-specific samples were excluded. Study quality was evaluated. The selection of studies, extraction of data and assessment of the studies were conducted by two reviewers. The following determinants of healthcare use were displayed based on the (extended) Andersen model: predisposing characteristics, enabling resources, need factors and psychosocial factors. In sum, n = 10 longitudinal studies have been included in our systematic review. The included studies particularly showed a longitudinal association between increased needs and higher healthcare use. Study quality was rather high. However, several studies did not conduct robustness checks or clarify the handling of missing data. In conclusion, this systematic review adds to our current understanding of the factors associated with healthcare use (mainly based on cross-sectional studies). It showed mixed evidence with regard to the association between predisposing characteristics, enabling resources and healthcare use longitudinally. In contrast, increased need factors (in particular, self-rated health and chronic conditions) were almost consistently associated with increased healthcare use. This knowledge may assist in managing healthcare use. Since most of the studies were conducted in North America or Europe, future longitudinal studies from other regions are urgently required.

Institution-Specific Machine Learning Models for Prehospital Assessment to Predict Hospital Admission: Prediction Model Development Study

Background

Although multiple prediction models have been developed to predict hospital admission to emergency departments (EDs) to address overcrowding and patient safety, only a few studies have examined prediction models for prehospital use. Development of institution-specific prediction models is feasible in this age of data science, provided that predictor-related information is readily collectable.

Objective

We aimed to develop a hospital admission prediction model based on patient information that is commonly available during ambulance transport before hospitalization.

Methods

Patients transported by ambulance to our ED from April 2018 through March 2019 were enrolled. Candidate predictors were age, sex, chief complaint, vital signs, and patient medical history, all of which were recorded by emergency medical teams during ambulance transport. Patients were divided into two cohorts for derivation (3601/5145, 70.0%) and validation (1544/5145, 30.0%). For statistical models, logistic regression, logistic lasso, random forest, and gradient boosting machine were used. Prediction models were developed in the derivation cohort. Model performance was assessed by area under the receiver operating characteristic curve (AUROC) and association measures in the validation cohort.

Results

Of 5145 patients transported by ambulance, including deaths in the ED and hospital transfers, 2699 (52.5%) required hospital admission. Prediction performance was higher with the addition of predictive factors, attaining the best performance with an AUROC of 0.818 (95% CI 0.792-0.839) with a machine learning model and predictive factors of age, sex, chief complaint, and vital signs. Sensitivity and specificity of this model were 0.744 (95% CI 0.716-0.773) and 0.745 (95% CI 0.709-0.776), respectively.

Conclusions

For patients transferred to EDs, we developed a well-performing hospital admission prediction model based on routinely collected prehospital information including chief complaints.

Determinants of Overnight Stay in Health Centres and Length of Admission: A Study of Canadian Seniors

This study examines the influence of chronic health conditions and socio-economic status on overnight admission and length of stay among Canadian seniors. Incremental multivariate logistic and zero-inflated negative binomial regression models assessed the relationship between selected predictors, overnight admission, and duration of stay. The findings show that all chronic health conditions and socio-economic factors examined were significantly associated with overnight hospital admission. However, seniors with cardiovascular health conditions, the very old, and seniors living in lower-income households had a greater risk of longer stays. Canadian seniors diagnosed with hypertension, cancer, diabetes, and stroke had greater risk of longer overnight hospital stays. Seniors aged 75 to 79 years, 80 years or older, and those living in lower-income households (≤ $39,999) were more likely to have a longer overnight hospital stay. Findings suggest that improving seniors' health and socio-economic status may reduce the risk of overnight admission and longer stays of hospitalisation.

A National Study of U.S. Emergency Departments: Racial Disparities in Hospitalizations for Heart Failure

INTRODUCTION

Racial disparities in heart failure hospitalizations are well documented. The majority of heart failure hospitalizations originate from emergency departments, but emergency department hospitalization patterns for heart failure and the factors that influence hospitalization are poorly understood. This gap in knowledge was examined using a nationally representative sample of emergency department visits for heart failure.

METHODS

National Hospital Ambulatory Medicare Care Survey data on 2001-2010 emergency department visits were analyzed in 2015-2017 to examine age-related racial differences in hospitalization patterns for heart failure, using multivariable modified Poisson regression models.

RESULTS

More than 12million adult visits for heart failure to U.S. emergency departments occurred from 2001 to 2010, with 23% of visits by blacks. Overall, 71% of visits resulted in hospitalization (57% to floor beds and 14% to intensive care units). Among floor admissions for higher clinical acuity visits, whites were more likely than blacks to be hospitalized. Whites with higher clinical acuity were more likely to be hospitalized than those with lower clinical acuity (71% vs 63%, p=0.005). This expected pattern was not observed in blacks, particularly those aged ≥65years, who were hospitalized in 71% of lower clinical acuity visits, but only 61% of higher acuity visits. Among adults aged ≥65years, there was a significant interaction between clinical acuity Xrace with regard to hospitalization (p=0.037).

CONCLUSIONS

These results suggest age and racial disparities in hospitalization rates for emergency department patients with heart failure. The reasons for these disparities in hospitalization are unclear. Further studies on emergency department hospitalization decisions, and the impact of emergency department clinical factors, may help clarify this finding.

SUPPLEMENT INFORMATION

This article is part of a supplement entitled African American Men's Health: Research, Practice, and Policy Implications, which is sponsored by the National Institutes of Health.

Older Adults' Social Relationships and Health Care Utilization: A Systematic Review

BACKGROUND

Deficiencies in older people's social relationships (including loneliness, social isolation, and low social support) have been implicated as a cause of premature mortality and increased morbidity. Whether they affect service use is unclear.

OBJECTIVES

To determine whether social relationships are associated with older adults' use of health services, independently of health-related needs.

SEARCH METHODS

We searched 8 electronic databases (MEDLINE, Embase, CINAHL, Web of Science, PsycINFO, Scopus, the Cochrane Library, and the Centre for Reviews and Dissemination) for data published between 1983 and 2016. We also identified relevant sources from scanning the reference lists of included studies and review articles, contacting authors to identify additional studies, and searching the tables of contents of key journals.

SELECTION CRITERIA

Studies met inclusion criteria if more than 50% of participants were older than 60 years or mean age was older than 60 years; they included a measure of social networks, received social support, or perceived support; and they reported quantitative data on the association between social relationships and older adults' health service utilization.

DATA COLLECTION AND ANALYSIS

Two researchers independently screened studies for inclusion. They extracted data and appraised study quality by using standardized forms. In a narrative synthesis, we grouped the studies according to the outcome of interest (physician visits, hospital admissions, hospital readmissions, emergency department use, hospital length of stay, utilization of home- and community-based services, contact with general health services, and mental health service use) and the domain of social relationships covered (social networks, received social support, or perceived support). For each service type and social relationship domain, we assessed the strength of the evidence across studies according to the quantity and quality of studies and consistency of findings.

MAIN RESULTS

The literature search retrieved 26 077 citations, 126 of which met inclusion criteria. Data were reported across 226 678 participants from 19 countries. We identified strong evidence of an association between weaker social relationships and increased rates of readmission to hospital (75% of high-quality studies reported evidence of an association in the same direction). In evidence of moderate strength, according to 2 high-quality and 3 medium-quality studies, smaller social networks were associated with longer hospital stays. When we considered received and perceived social support separately, they were not linked to health care use. Overall, the evidence did not indicate that older patients with weaker social relationships place greater demands on ambulatory care (including physician visits and community- or home-based services) than warranted by their needs.

AUTHORS' CONCLUSIONS

Current evidence does not support the view that, independently of health status, older patients with lower levels of social support place greater demands on ambulatory care. Future research on social relationships would benefit from a consensus on clinically relevant concepts to measure. Public Health Implications. Our findings are important for public health because they challenge the notion that lonely older adults are a burden on all health and social care services. In high-income countries, interventions aimed at reducing social isolation and loneliness are promoted as a means of preventing inappropriate service use. Our review cautions against assuming that reductions in care utilization can be achieved by intervening to strengthen social relationships.

Racism and health service utilisation: A systematic review and meta-analysis

Although racism has been posited as driver of racial/ethnic inequities in healthcare, the relationship between racism and health service use and experience has yet to be systematically reviewed or meta-analysed. This paper presents a systematic review and meta-analysis of quantitative empirical studies that report associations between self-reported racism and various measures of healthcare service utilisation. Data were reviewed and extracted from 83 papers reporting 70 studies. Studies included 250,850 participants and were conducted predominately in the U.S. The meta-analysis included 59 papers reporting 52 studies, which were analysed using random effects models and mean weighted effect sizes. Racism was associated with more negative patient experiences of health services (HSU-E) (OR = 0.351 (95% CI [0.236,0.521], k = 19), including lower levels of healthcare-related trust, satisfaction, and communication. Racism was not associated with health service use (HSU-U) as an outcome group, and was not associated with most individual HSU-U outcomes, including having had examinations, health service visits and admissions to health professionals and services. Racism was associated with health service use outcomes such as delaying/not getting healthcare, and lack of adherence to treatment uptake, although these effects may be influenced by a small sample of studies, and publication bias, respectively. Limitations to the literature reviewed in terms of study designs, sampling methods and measurements are discussed along with suggested future directions in the field.

Estimating hazard ratios in cohort data with missing disease information due to death

In clinical and epidemiological studies information on the primary outcome of interest, that is, the disease status, is usually collected at a limited number of follow-up visits. The disease status can often only be retrieved retrospectively in individuals who are alive at follow-up, but will be missing for those who died before. Right-censoring the death cases at the last visit (ad-hoc analysis) yields biased hazard ratio estimates of a potential risk factor, and the bias can be substantial and occur in either direction. In this work, we investigate three different approaches that use the same likelihood contributions derived from an illness-death multistate model in order to more adequately estimate the hazard ratio by including the death cases into the analysis: a parametric approach, a penalized likelihood approach, and an imputation-based approach. We investigate to which extent these approaches allow for an unbiased regression analysis by evaluating their performance in simulation studies and on a real data example. In doing so, we use the full cohort with complete illness-death data as reference and artificially induce missing information due to death by setting discrete follow-up visits. Compared to an ad-hoc analysis, all considered approaches provide less biased or even unbiased results, depending on the situation studied. In the real data example, the parametric approach is seen to be too restrictive, whereas the imputation-based approach could almost reconstruct the original event history information.

Trend study on the association between hospital admissions and the health of Dutch older adults (1995-2009)

OBJECTIVES

An increase in hospital admission rates in older people may reflect improved access to healthcare, but also declining health trends in the older population. Owing to a lack of individual-level data, the latter possibility has received little attention. The current study examines associations between health status and hospitalisation rates of older adults in the Netherlands.

DESIGN

Observational individual-level data linked to hospital register data.

SETTING

Data from 1995 to 2009 from the nationally representative Longitudinal Aging Study Amsterdam were linked to the Dutch Hospital Discharge Register.

PARTICIPANTS

A total of 5681 observations of 2520 respondents across 4 measurement points (each with a follow-up of 36 months; ages 65-88 years).

OUTCOME MEASURES

The contribution of health, demographic, psychosocial and lifestyle characteristics to time trends in hospitalisation was assessed in multivariate models.

RESULTS

Between 1995 and 2009, the percentage with 1 or more overnight admissions (planned or acute) increased slightly from 38.1% to 39.7%. This was due to an increase in acute admission only (22.2-27.0%). Increased prevalences of chronic diseases, functional limitations and polypharmacy accounted for part of the observed increase in acute admissions. In addition, a more than doubled prevalence of day admissions over time was observed (12.3-28.3%), a trend that was unrelated to changes in individual characteristics.

CONCLUSIONS

This trend study showed a contribution of declines in population health to increases in acute hospital admissions. Since these declines did not provide a full explanation, healthcare reforms and increases in treatment possibilities in this period are likely to have contributed as well.

C-reactive protein, frailty and overnight hospital admission in elderly individuals: A population-based study

BACKGROUND

C-reactive protein (CRP), an important inflammatory biomarker, has been linked to various diseases (e.g., cardiovascular disease). Here, we aimed to investigate the associations of high sensitivity C-reactive protein (hsCRP) with frailty and overnight hospital admission in an elderly Chinese population.

METHODS

We used cross-sectional data from 1478 participants (aged 70-84 years) who were randomly recruited from 31 villages in Jiang'an township, Rugao city, China. Frailty status was defined using a modified frailty phenotype. The number of overnight hospital admissions was ascertained.

RESULTS

The sample mean age was 75.3 years, and 53.0% of participants were female (n=784). The mean level of hsCRP was 3.6 mg/L. From the low (hsCRP≤1.00 mg/L) to high hsCRP (hsCRP≥3.0mg/L) group, the proportion of overnight hospital admission increased linearly (8.7%, 10.6%, vs. 15.5%; P for trend=0.007). For frailty, the age- and sex-adjusted odds ratios (ORs) were 1.21 (95% CI: 0.89, 1.64) for participants in the intermediate hsCRP group and 1.49 (95% CI: 1.05, 2.09) for participants in the high hsCRP group compared with those in the low hsCRP group. For overnight hospital admission, the corresponding ORs were 1.26 (95% CI: 0.72, 2.19) and 1.94 (95% CI: 1.08, 3.48), respectively. After adjustment for other covariates, the significance of these associations remained.

CONCLUSIONS

Elevated levels of hsCRP were associated with increased risks of frailty and overnight hospital admission among elderly individuals in Rugao. More public health concerns about inflammation and subsequent outcomes are needed to improve the quality of life in elderly populations.

Risk factors for hospitalization in a national sample of medicare home health care patients

Acute care hospitalization during or immediately following a Medicare home health care (HHC) episode is a major adverse outcome, but little has been published about HHC patient-level risk factors for hospitalization. The authors determined risk factors at HHC admission associated with subsequent acute care hospitalization in a nationally representative Medicare patient sample (N = 374,123). Hospitalization was measured using Medicare claims data; risk factors were measured using Outcome Assessment and Information Set data. Seventeen percent of sample members were hospitalized. Multivariate logistic regression analysis found that the most influential risk factors (all p < .001) were skin wound as primary HHC diagnosis, clinician-judged guarded rehabilitation prognosis, congestive heart failure as primary HHC diagnosis, presence of depressive symptoms, dyspnea severity, and Black, compared to White. HHC initiatives that minimize chronic condition exacerbations and actively treat depressive symptoms might help reduce Medicare patient hospitalizations. Unmeasured reasons for higher hospitalization rates among Black HHC patients deserve further investigation.

Struggle with the divine in Swiss patients visited by chaplains: prevalence and correlates

A body of evidence is developing that describes harmful effects of religious struggle that includes struggle with the divine (e.g. feeling abandoned or punished by God). We examined the prevalence and correlates of divine struggle among 540 Swiss hospital patients. Some divine struggle was reported by 46 percent of the sample. Unexpected hospital admission and scores on a measure of faith were associated with a greater likelihood of reporting any divine struggle. Higher levels of anxiety and depression were also associated with divine struggle. Screening for divine struggle or other forms of religious struggle will permit, where indicated, appropriate religious assessment and care to mitigate the harmful effects that may accompany religious struggle.