Characteristics of frequent emergency department users with type 2 diabetes mellitus in Korea

Transitions in health care settings for frequent and infrequent users of emergency departments: a population-based retrospective cohort study

BACKGROUND

Efforts to reduce emergency department (ED) volumes often target frequent users. We examined transitions in care across ED, hospital, and community settings, and in-hospital death, for high system users (HSUs) compared to controls.

METHODS

Population-based databases provided ED visits and hospitalizations in Alberta and Ontario, Canada. The retrospective cohort included the top 10% of all the ED users during 2015/2016 (termed HSUs) and a random sample of controls (4 per each HSU) from the bottom 90% per province. Rates of transitions among ED, hospitalization, community settings, and in-hospital mortality were adjusted for sociodemographic and ED variables in a multistate statistical model.

RESULTS

There were 2,684,924 patients and 579,230 (21.6%) were HSUs. Patient characteristics associated with shorter community to ED transition times for HSUs included Alberta residence (ratio of hazard ratio [RHR] = 1.11, 95% confidence interval [CI] 1.11,1.12), living in areas in the lower income quintile (RHR = 1.06, 95%CI 1.06,1.06), and Ontario residents without a primary health care provider (RHR = 1.13, 95%CI 1.13,1.14). Once at the ED, characteristics associated with shorter ED to hospital transition times for HSUs included higher acuity (e.g., RHR = 1.70, 95% CI 1.61, 1.81 for emergent), and for many diagnoses including chest pain (RHR = 1.71, 95%CI 1.65,1.76) and gastrointestinal (RHR = 1.66, 95%CI 1.62,1.71). Once admitted to hospital, HSUs did not necessarily have longer stays except for conditions such as chest pain (RHR = 0.90, 95% CI 0.86, 0.95). HSUs had shorter times to death in the ED if they presented for cancer (RHR = 2.51), congestive heart failure (RHR = 1.93), myocardial infarction (RHR = 1.53), and stroke (RHR = 1.84), and shorter times to death in-hospital if they presented with cancer (RHR = 1.29).

CONCLUSIONS

Differences between HSUs and controls in predictors of transitions among care settings were identified. Co-morbidities and limitations in access to primary care are associated with more rapid transitions from community to ED and hospital among HSUs. Interventions targeting these challenges may better serve patients across health systems..

TRIAL REGISTRATION

Not applicable.

Factors related to the frequent use of emergency department services in Korea

BACKGROUND

Frequent Emergency Department (ED) visitors are identified by the policymakers to reduce avoidable ED visits and lessen the financial and operational burden. This study aimed to identify the factors related to the frequent use of ED services.

METHODS

This nationwide, cross-sectional observational study was conducted using information obtained from the 2019 National Emergency Department Information System (NEDIS) database. Frequent ED users were defined as patients with four or more ED visits a year. We performed multiple logistic regression analyses to verify the relationship among sociodemographic characteristics, residential characteristics, clinical characteristics, and frequency of ED visits.

RESULTS

Among 4,063,640 selected patients, 137,608 patients visited the ED four or more times a year (total number of visits = 735,502 times), which accounted for 3.4% and 12.8% of the total number of ED users and ED visits, respectively. A high ED visit frequency was associated with male sex, age < 9 or ≥ 70 years, Medical Aid (based on the insurance type), lower number of medical institutions and beds compared with that of the national average, and conditions, such as cancer, diabetes, renal failure, and mental illness. A low ED-visit frequency was associated with residence in regions vulnerable to emergency medical care and regions with high income. The possibility of frequent ED visits was high for patients with level 5 severity (non-emergent) and those with an increased need for medical treatment, including older patients and patients with cancer or mental illness. The possibility of frequent ED visits was low for patients aged > 19 years with level 1 severity (resuscitation).

CONCLUSIONS

Health service accessibility factors, including low income and medical resource imbalance, were associated with frequent ED visits. Future large-scale prospective cohort studies are warranted to establish an efficient emergency medical system.

How Outpatient Diabetes Education Programs Can Support Local Hospitals to Reduce Emergency Department Visits for Adults With Diabetes

OBJECTIVES

Our aim in this study was to assess the level of collaboration between a hospital-based outpatient diabetes education program (DEP) and emergency departments (EDs) for reducing number of ED revisits and hospital admissions by implementing intervention strategies to promote education services and streamlining referral and appointment intake processes.

METHODS

Patients (≥18 years of age) with an ED visit for hyper- or hypoglycemia were analyzed in 2 cohorts based on their intervention exposure. We conducted a single-cohort analysis of the exposed cohort (exposure to the intervention strategies) and compared 2-year outcomes with those of the unexposed cohort. Primary outcomes were hyper- or hypoglycemia-related ED revisit and hospitalization rates. Process outcomes included DEP referrals and DEP attendance.

RESULTS

There were no significant differences in ED revisits and hospital admissions between the exposed and unexposed cohorts. However, patients were more likely to be referred to a DEP by ED physicians (odds ratio [OR], 1.76; p=0.02) and to attend a DEP appointment (OR, 1.96; p<0.01) after intervention exposure. DEP attendees from both cohorts became less likely to revisit an ED (exposed: OR, 0.41; 95% confidence interval [CI], 0.23 to 0.71; unexposed: OR, 0.4; 95% CI, 0.15 to 1.15) at 12-month follow up; however, this reduction was sustained only among the exposed cohort (OR, 0.5; 95% CI, 0.31 to 0.81) and not the unexposed cohort (OR, 1.32; 95% CI, 0.60 to 2.91) at 24 months (p=0.04 when comparing the 2 cohorts).

CONCLUSIONS

Collaboration between outpatient DEPs with local EDs could effectively reduce diabetes-related ED revisits by increasing diabetes program utilization.

Determining the Predictors of Self-Management Behaviors in Patients With Type 2 Diabetes: An Application of Socio-Ecological Approach

Background

Type 2 diabetes complications are responsible for 2% of hospital emergency visits. Self-management practices are one of the most essential approaches to control type 2 diabetes. The goal of this study was to use an ecological approach to investigate the predictors of self-management behaviors in diabetes patients referred to the emergency department in Ardabil in 2020.

Methods

In this cross-sectional study, 273 individuals with type 2 diabetes who were sent to the emergency department of Imam Khomeini Educational and Medical Center in Ardabil were included using the available sample method. Demographic information questionnaires, including the Diabetes Distress Screening Tool (DDS2), General Diabetes Knowledge (DKT2), Diabetes Empowerment Questionnaire (DES-SF), Patient Health Questionnaire 9 (PHQ 9), Beliefs to Treatment Effectiveness Scale (BTES), Diabetes Self-Efficacy Scale (DSES), Chronic Illness Resources Survey (CIRS), Situational Effects Questionnaire, and Diabetes self-management support (DSMS), were all used to collect data. The independent t-test, one-way ANOVA, Pearson correlation coefficient, and multiple regression were used to analyze the data.

Results

The results of the study showed that in the framework of ecological approach, predictors of self-management behaviors at the four levels are as follows: at the individual level—gender (p = 0.025), education (p = 0.002), duration of diabetes (p = 0.38), having a glucometer at home (p &lt; 0.001), diabetes empowerment (p &lt; 0.001), personal support (p = 0.002), and self-efficacy (p = 0.047); at the interpersonal level—the main health support (p &lt; 0.001), membership in social networks (p &lt; 0.005), family/friends support (p &lt; 0.001), and neighborhoods support (p &lt; 0.001); at the group and organizational level—organizational support (p = 0.013); at the community and policy level—the impact of mass media in health (p &lt; 0.001) and situational influence (p &lt; 0.001).

Conclusion

The impact of non-individual levels, such as the environment, on a person's decision to manage diabetes is crucial. Diabetes management necessitates a significant amount of effort, which involves maintaining the health of diabetes patients and the community while also minimizing emergency department workload.

Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review

BACKGROUND

Population segmentation permits the division of a heterogeneous population into relatively homogenous subgroups. This scoping review aims to summarize the clinical applications of data driven and expert driven population segmentation among Type 2 diabetes mellitus (T2DM) patients.

METHODS

The literature search was conducted in Medline®, Embase®, Scopus® and PsycInfo®. Articles which utilized expert-based or data-driven population segmentation methodologies for evaluation of outcomes among T2DM patients were included. Population segmentation variables were grouped into five domains (socio-demographic, diabetes related, non-diabetes medical related, psychiatric / psychological and health system related variables). A framework for PopulAtion Segmentation Study design for T2DM patients (PASS-T2DM) was proposed.

RESULTS

Of 155,124 articles screened, 148 articles were included. Expert driven population segmentation approach was most commonly used, of which judgemental splitting was the main strategy employed (n = 111, 75.0%). Cluster based analyses (n = 37, 25.0%) was the main data driven population segmentation strategies utilized. Socio-demographic (n = 66, 44.6%), diabetes related (n = 54, 36.5%) and non-diabetes medical related (n = 18, 12.2%) were the most used domains. Specifically, patients' race, age, Hba1c related parameters and depression / anxiety related variables were most frequently used. Health grouping/profiling (n = 71, 48%), assessment of diabetes related complications (n = 57, 38.5%) and non-diabetes metabolic derangements (n = 42, 28.4%) were the most frequent population segmentation objectives of the studies.

CONCLUSIONS

Population segmentation has a wide range of clinical applications for evaluating clinical outcomes among T2DM patients. More studies are required to identify the optimal set of population segmentation framework for T2DM patients.

Identifying Potential High-Risk Medication Errors Using Telepharmacy and a Web-Based Survey Tool

BACKGROUND AND INTRODUCTION

Obtaining patient medication histories during emergency department (ED) admissions is an important step towards identifying potential errors that could otherwise remain in the patient's active medication list. This is a descriptive report of a standardized, electronic data collection tool created to document potential medication errors in patients receiving high-risk medications during ED admissions.

MATERIALS AND METHODS

Trained pharmacy technicians completed a survey following medication history collection using a secure web platform called REDCap®. Data collected included patient-specific information, the number and type of high-risk medications, and potential medication errors identified in the collection process.

RESULTS

During a pilot period of April 2019 to October 2020, 191 patient records were completed using the survey tool. Out of a total of 1088 medications recorded, 41% were considered high-risk medications. 42% of potential medication errors were classified as high-risk medication errors. Results from this survey tool demonstrated that 58% of high-risk medication orders could potentially result in a medication error that can be carried through patient admission and discharge.

DISCUSSION

Accurate medication history and transitions of care can significantly impact patient quality of life. The cost of addressing a medication related-adverse event is also substantial. Based on published reports, annual gross savings to a hospital is estimated to be $4532 per harmful error in 2020, after adjusting for inflation. This equated to approximately $1,182,852 in estimated savings for Ascension Texas in 18 months. Nationwide, preventing potential medication errors in an outpatient setting can save on average $3.5 billion per year.

CONCLUSION

This web-based survey tool has improved the quality and efficiency of potential error identification during medication history collection by pharmacy technicians. This information can be easily retrieved and aid in discussions regarding medication reconciliation at the leadership level and impact patient treatment outcomes by developing virtual processes that may result in fewer medication related events.

Identifying the Predictors of Self-Management Behaviors in Patients with Diabetes Based on Ecological Approach: A Systematic Review

BACKGROUND

Recognizing and promoting the factors that affect the self-management behaviors of diabetes lead to a reduction in the number of patients and an improvement in the quality of care. The ecological approach focuses on the nature of people's interactions with their physical and socio-cultural environments.

OBJECTIVE

The purpose of this study was to identify the predictors of self-management behaviors with a comprehensive approach in these patients.

METHODS

The keywords were investigated in the relevant national and international databases, including PubMed, Google Scholar, Science Direct, Scopus, and Scientific Information Database, Magiran, and Iran Medex, to obtain the articles published from 2009 to 2019. The search and article selection strategy was developed based on the Prisma checklist and was carried out in three steps.

RESULTS

Most studies have shown that personal factors had the highest prediction power for the self-management of diabetes. The interpersonal factors, society and policy-making factors, and group and organization factors were then the most frequently reported predictors of self-management behaviors in diabetic patients.

CONCLUSION

Self-management of diabetes is necessary for controlling it because 95% of care is done by the patient. When designing self-management interventions, factors are based on the individual level that is to increase self-management behaviors.

Frailty and health care use among community-dwelling older adults with diabetes: a population-based study

Purpose

The aims of this study were to investigate the prevalence of frailty and its relationship with health care use among community-dwelling older adults with diabetes.

Methods

We analyzed data from a nationally representative sample of people aged 65 years and above (n=3,203) participating in the 2013 National Health Interview Survey in Taiwan. A total of 719 participants had a history of self-reported physician-diagnosed diabetes. The presence of frailty was determined based on the Fatigue, Resistance, Ambulation, Illness, and Loss of weight (FRAIL) scale proposed by the International Association of Nutrition and Aging. FRAIL scores range from 0 to 5 and are categorized as frail (3–5), pre-frail (1–2), and robust (0). Participants were asked whether they had been hospitalized or had visited an emergency department in the past year.

Results

Among community-dwelling older adults with diabetes, 9.4% of participants were frail and 35.3 % were pre-frail. After adjustment for other factors, being frail was significantly associated with hospitalization during the past year (OR =5.31, 95% CI =1.87–15.10), whereas being pre-frail was not associated with hospitalization. Both being pre-frail and frail were significantly associated with emergency department visits during the past year (OR =2.64, 95% CI =1.35–5.17 and OR =4.05, 95% CI =1.31–12.49, respectively) after adjustment for other factors.

Conclusion

Our results highlight the high prevalence of frailty in community-dwelling older adults with diabetes. Furthermore, being frail is associated with a greater burden of hospitalizations and emergency department visits.