The spectrum of hospitalization-associated harm in the elderly

Predictive Factors and Risk Assessment for Hospitalization in Chest Pain Patients Admitted to the Emergency Department

BACKGROUND

Chest pain is one of the most common reasons for emergency department (ED) visits. Patients presenting with inconclusive symptoms complicate the diagnostic process and add to the burden upon the ED. This study aimed to determine factors possibly influencing ED decisions on hospitalization versus discharge for patients with the diagnosis of chest pain.

METHODS

In the cohort study including 400 patients admitted to the emergency unit with a working diagnosis of chest pain, data on demographics, medical history, symptoms, lab results, and risk scores were collected from the medical records of patients admitted to the ED with a working diagnosis of chest pain. To reduce potential bias, the analysis was restricted to 330 patients who were referred to the ED by a primary care provider or clinic for chest pain.

RESULTS

Of 330 patients admitted to the ED, 58.5% were discharged, and 41.5% were hospitalized. Hospitalized patients were significantly older, with a median age of 70 versus 57 years for those discharged (p < 0.001). A higher proportion of hospitalizations occurred during the late-night shift. Significant predictors of hospitalization included hyperlipidemia (OR 3.246), diaphoresis (OR 8.525), dyspnea (OR 2.897), and hypertension (OR 1.959). Nursing home residents had a lower risk of hospitalization (OR 0.381). The area under the ROC curve for this model was 0.801 (95% CI: 0.753-0.848), indicating the predictive accuracy of the model in estimating the probability of admission. The HEART (history, ECG, age, risk factors, and troponin level) score was more effective than the TIMI (Thrombolysis in Myocardial Infarction) score in predicting the need for hospitalization, with an area under the curve (AUC) of 0.807 compared to 0.742 for TIMI.

CONCLUSIONS

The HEART score in comparison with TIMI score proved especially valuable for quick risk assessment for hospitalization. The model that included hyperlipidemia, diaphoresis, dyspnea, and hypertension was the most predictive for the risk of hospitalization. Further research with larger populations is needed to validate these findings.

How do primary care clinicians approach hospital admission decisions for people in the final year of life? A systematic review and narrative synthesis

BACKGROUND

The final year of life is often associated with increasing health complexities and use of health services. This frequently includes admission to an acute hospital which may or may not convey overall benefit. This uncertainty makes decisions regarding admission complex for clinicians. There is evidence of much variation in approaches to admission.

AIMS

To explore how Primary Care clinicians approach hospitalisation decisions for people in the final year of life.

DESIGN

Systematic literature review and narrative synthesis.

DATA SOURCES

We searched the following databases from inception to April 2023: CINAHL, Cochrane Library, Embase, MedLine, PsychInfo and Web of Science followed by reference and forward citation reviews of included records.

RESULTS

A total of 18 studies were included: 14 qualitative, 3 quantitative and 1 mixed methods study. As most of the results were qualitative, we performed a thematic analysis with narrative synthesis. Six key themes were identified: navigating the views of other stakeholders; clinician attributes; clinician interpretation of events; the perceived adequacy of the current setting and the alternatives; system factors and continuity of care.

CONCLUSION

This review shows that a breadth of factors influence hospitalisation decisions. The views of other stakeholders take great importance but it is not clear how these views are, or should be, should be balanced. Clinician factors, such as experience with palliative care and clinical judgement, are also important. Future research should focus on how different aspects of the decision are balanced and to consider if, and how, this could be improved to optimise patient-centred outcomes and use of health resources.

Exploring depression, comorbidities and quality of life in geriatric patients: a study utilizing the geriatric depression scale and WHOQOL-OLD questionnaire

BACKGROUND

The increasing prevalence of depression among older adults is a growing concern. Chronic health conditions, cognitive impairments, and hospitalizations amplify emotional distress and depression levels in this population. Assessing the quality of life is crucial for the well-being of older adults.

AIMS

Our study aimed to examine how comorbidities affect depression and quality of life in geriatric patients in both outpatient and hospital settings.

METHODS

100 patients (50 from internal medicine outpatient clinic and 50 from internal medicine ward) were included in the study according to inclusion and exclusion criteria. Patients were classified into different age groups (65-74 years, 75-84 years and ≥ 85 years). Data on patients' location of application, age, sex, living alone or with family status, number of comorbid diseases, types of accompanying diseases were recorded and WHOQOL-OLD and Geriatric Depression Scale (GDS) questionnaires were administered. Results were evaluated using SPSS.

RESULTS

The WHOQOL-OLD questionnaire score was higher in the 65-74 age group compared to other groups, but there was no significant difference between outpatient group and hospitalized group. Patients with comorbid diseases had lower WHOQOL-OLD questionnaire scores compared to those without comorbid diseases. In the 75-84 and ≥ 85 age groups, the GDS scores were higher compared to the 65-74 age group. In hospitalized group, GDS scores were higher than outpatient clinic group. In patients with comorbid diseases, GDS scores were higher than the ones without comorbid diseases.

DISCUSSION

Our findings indicate that quality of life is higher among those aged 65-74, with lower incidence of depression compared to other age groups. Hospitalization correlates with higher depression rates but not quality of life. As number of comorbid diseases increases in older adults, the frequency of depression rises and the quality of life declines.

CONCLUSIONS

Early detection and intervention for depression are crucial for enhancing older adults' well-being.

Ethnicity and outcomes for patients with gastrointestinal disorders attending an emergency department serving a multi-ethnic population

BACKGROUND

Ethnic inequalities in acute health acute care are not well researched. We examined how attendee ethnicity influenced outcomes of emergency care in unselected patients presenting with a gastrointestinal (GI) disorder.

METHODS

A descriptive, retrospective cohort analysis of anonymised patient level data for University Hospitals of Leicester emergency department attendees, from 1 January 2018 to 31 December 2021, receiving a diagnosis of a GI disorder was performed. The primary exposure of interest was self-reported ethnicity, and the two outcomes studied were admission to hospital and whether patients underwent clinical investigations. Confounding variables including sex and age, deprivation index and illness acuity were adjusted for in the analysis. Chi-squared and Kruskal-Wallis tests were used to examine ethnic differences across outcome measures and covariates. Multivariable logistic regression was used to examine associations between ethnicity and outcome measures.

RESULTS

Of 34,337 individuals, median age 43 years, identified as attending the ED with a GI disorder, 68.6% were White. Minority ethnic patients were significantly younger than White patients. Multiple emergency department attendance rates were similar for all ethnicities (overall 18.3%). White patients had the highest median number of investigations (6, IQR 3-7), whereas those from mixed ethnic groups had the lowest (2, IQR 0-6). After adjustment for age, sex, year of attendance, index of multiple deprivation and illness acuity, all ethnic minority groups remained significantly less likely to be investigated for their presenting illness compared to White patients (Asian: aOR 0.80, 95% CI 0.74-0.87; Black: 0.67, 95% CI 0.58-0.79; mixed: 0.71, 95% CI 0.59-0.86; other: 0.79, 95% CI 0.67-0.93; p < 0.0001 for all). Similarly, after adjustment, minority ethnic attendees were also significantly less likely to be admitted to hospital (Asian: aOR 0.63, 95% CI 0.60-0.67; Black: 0.60, 95% CI 0.54-0.68; mixed: 0.60, 95% CI 0.51-0.71; other: 0.61, 95% CI 0.54-0.69; p < 0.0001 for all).

CONCLUSIONS

Significant differences in usage patterns and disparities in acute care outcomes for patients of different ethnicities with GI disorders were observed in this study. These differences persisted after adjustment both for confounders and for measures of deprivation and illness acuity and indicate that minority ethnic individuals are less likely to be investigated or admitted to hospital than White patients.