Association between Area-Level Socioeconomic Deprivation and Prehospital Delay in Acute Ischemic Stroke Patients: An Ecological Study

Stroke signs knowledge and factors associated with a delayed hospital arrival of patients with acute stroke in Kinshasa

Background

Rapid recognition and early medical intervention are essential to reduce stroke-related mortality and long-term disability. This study aimed to evaluate awareness of stroke symptoms/signs and determine factors delaying the hospital arrival of patients with acute stroke in Kinshasa.

Methods

Patients with stroke and/or accompanying family members were interviewed using a standard questionnaire, and their medical records were reviewed. Factors independently associated with a late arrival (≥4.5 h) to the hospital were identified using the logistic regression test in forward multivariate analysis.

Results

Overall, 202 patients with an average age of 57.9 ± 13.1 years were included. Only 27 (13.4%) patients immediately associated the initial symptoms with a stroke episode. Delayed hospital arrival was observed in 180 (89.1%) patients. Unmarried status (adjusted odds ratio [aOR], 2.29; 95% confidence interval [CI], 1.17-4.88; p = 0.007), low education level (aOR, 2.29; 95% CI, (1.12-5.10; p = 0,014), absence of impaired consciousness (aOR, 3.12; 95% CI, 1.52-4.43; p = 0.005), absence of a history of hypertention (aOR, 1.85; 95% CI, 1.18-3.78; p = 0.041), absence of a history of diabetes (aOR, 1.93; 95% CI, 1.15-4.58; p = 0.013), heavy alcohol consumption (aOR, 1.83; 95% CI, 1.12-2.83; p = 0.045), absence of a severe to very severe stroke (aOR, 4.93; 95% CI, 0.82-1.01; p = 0.002), and presence of ischemic stroke (aOR, 2.93; 95% CI, 1.54-4.59; p = 0.001) were identified as independent determinants of delayed hospital arrival.

Conclusions

This study depicted a low stroke awareness rate and a much longer prehospital delay than evidence-based guidelines recommend and identified eight factors that public health actions could target to promote the earliest management of stroke.

Association of Neighborhood-Level Socioeconomic Factors With Delay to Hospital Arrival in Patients With Acute Stroke

BACKGROUND AND OBJECTIVES

Delivery of acute ischemic stroke (AIS) therapies is contingent on the duration from last known well (LKW) to emergency department arrival time (EDAT). One reason for treatment ineligibility is delay in presentation to the hospital. We evaluate patient and neighborhood characteristics associated with time from LKW to EDAT.

METHODS

This was a retrospective observational study of patients presenting to the Yale New Haven Hospital in the AIS code pathway from 2010 to 2020. Patients presenting within 4.5 hours from LKW who were recorded in the institutional Get With the Guidelines Stroke registry were classified as early while those presenting beyond 4.5 hours were designated as late. Temporal trends in late presentation were explored by univariate logistic regression. Using variables significant in univariate analysis at p < 0.05, we developed a mixed-effect logistic regression model to estimate the probability of late presentation as a function of patient-level and neighborhood (ZIP)-level characteristics (area deprivation index [ADI] derived from the Health Resources and Services Administration), adjusted for calendar year and geographic distance from the centroid of the ZIP code to the hospital.

RESULTS

A total of 2,643 patients with AIS from 2010 to 2020 were included (63.4% presented late and 36.6% presented early). The frequency of late presentation increased significantly from 68% in 2010 to 71% in 2020 (p = 0.002) and only among non-White patients. Patients presenting late were more likely to be non-White (37.1% vs 26.9%, p < 0.0001), arrive by means other than emergency medical services (EMS) (32.7% vs 16.1%, p < 0.0001), have an NIHSS <6 (68.7% vs 55.2%, p < 0.0001), and present from a neighborhood with a higher ADI category (p = 0.0001) that was nearer to the hospital (median 5.8 vs 7.7 miles, p = 0.0032). In the mixed model, the ADI by units of 10 (odds ratio [OR] 1.022, 95% confidence interval [CI] 1.020-1.024), non-White race (OR 1.083, 95% CI 1.039-1.127), arrival by means other than EMS (OR 1.193, 95% CI 1.145-1.124), and an NIHSS <6 (OR 1.085, 95% CI 1.041-1.129) were associated with late presentation.

DISCUSSION

In addition to patient-level factors, socioeconomic deprivation of neighborhood of residence contributes to delays in hospital presentation for AIS. These findings may provide opportunities for targeted interventions to improve presentation times in at-risk communities.

Integrative Approaches in Acute Ischemic Stroke: From Symptom Recognition to Future Innovations

Among the high prevalence of cerebrovascular diseases nowadays, acute ischemic stroke stands out, representing a significant worldwide health issue with important socio-economic implications. Prompt diagnosis and intervention are important milestones for the management of this multifaceted pathology, making understanding the various stroke-onset symptoms crucial. A key role in acute ischemic stroke management is emphasizing the essential role of a multi-disciplinary team, therefore, increasing the efficiency of recognition and treatment. Neuroimaging and neuroradiology have evolved dramatically over the years, with multiple approaches that provide a higher understanding of the morphological aspects as well as timely recognition of cerebral artery occlusions for effective therapy planning. Regarding the treatment matter, the pharmacological approach, particularly fibrinolytic therapy, has its merits and challenges. Endovascular thrombectomy, a game-changer in stroke management, has witnessed significant advances, with technologies like stent retrievers and aspiration catheters playing pivotal roles. For select patients, combining pharmacological and endovascular strategies offers evidence-backed benefits. The aim of our comprehensive study on acute ischemic stroke is to efficiently compare the current therapies, recognize novel possibilities from the literature, and describe the state of the art in the interdisciplinary approach to acute ischemic stroke. As we aspire for holistic patient management, the emphasis is not just on medical intervention but also on physical therapy, mental health, and community engagement. The future holds promising innovations, with artificial intelligence poised to reshape stroke diagnostics and treatments. Bridging the gap between groundbreaking research and clinical practice remains a challenge, urging continuous collaboration and research.

Association between neighborhood socioeconomic status and mechanical thrombectomy for acute ischemic stroke: A nationwide multilevel observational study

OBJECTIVE

Acute ischemic stroke is a major health burden worldwide and mechanical thrombectomy is the treatment of choice for large-vessel occlusion stroke. This study aimed to evaluate the association between neighborhood socioeconomic status (SES) and the likelihood of receiving mechanical thrombectomy in patients with acute ischemic stroke.

METHODS

A nationwide cross-sectional study was conducted using the National Emergency Department Information System database. Patients who were diagnosed with ischemic stroke in the emergency department (ED) within 24 h of symptom onset between 2018 and 2021 were included. The neighborhood SES index was measured at the county level using property tax per capita, education level, and the proportions of single families and single-parent households. The study population was divided into quartiles based on the neighborhood SES index. The study outcome was mechanical thrombectomy. Multilevel multivariable logistic regression was performed. An interaction analysis between mental status at the ED triage and neighborhood SES was also performed.

RESULTS

Among the 196,007 patients, 8968 (4.6%) underwent mechanical thrombectomy. Compared with the affluent group, the deprived-middle and deprived groups were less likely to receive mechanical thrombectomy; the adjusted ORs (95% CIs) were 1.00 (0.92-1.09), 0.82 (0.74-0.91), and 0.82 (0.72-0.93) for the affluent-middle, deprived-middle, and deprived groups, respectively. Altered mental status at the ED triage strengthened the association between neighborhood SES and the likelihood of receiving mechanical thrombectomy (adjusted ORs [95% CIs] 0.85 [0.81-0.89] for the affluent-middle to deprived-middle group and 0.66 [0.65-0.66] for deprived groups, p-value for interaction < 0.05).

CONCLUSIONS

For patients diagnosed with acute ischemic stroke at the ED, low neighborhood SES is associated with low odds of receiving mechanical thrombectomy. Public health strategies should be developed to resolve these disparities and to decrease the health care burden of acute ischemic stroke.

Impact of areal socioeconomic status on prehospital delay of acute ischaemic stroke: retrospective cohort study from a prefecture-wide survey in Japan

OBJECTIVES

To examine whether the Areal Deprivation Index (ADI), an indicator of the socioeconomic status of the community the patient resides in, is associated with delayed arrival at the hospital and poor outcomes in patients with acute ischaemic stroke from a prefecture-wide stroke database in Japan.

DESIGN

Retrospective study.

SETTING

Twenty-nine acute stroke hospitals in Kochi prefecture, Japan.

PARTICIPANTS

Nine thousand and six hundred fifty-one patients with acute ischaemic stroke who were urgently hospitalised, identified using the Kochi Acute Stroke Survey of Onset registry. Capital and non-capital areas were analysed separately.

PRIMARY AND SECONDARY OUTCOME MEASURES

Prehospital delay defined as hospital arrival ≥4-hour after stroke onset, poor hospital outcomes (in-hospital mortality and discharge to a nursing facility) and the opportunities of intravenous recombinant tissue plasminogen activator (rt-PA) and endovascular reperfusion therapy.

RESULTS

In the overall cohort, prehospital delay was observed in 6373 (66%) patients. Among individuals residing in non-capital areas, those living in municipalities with higher ADI (more deprived) carried a significantly higher risk of prehospital delay (per one-point increase, OR (95% CI) 1.45 (1.26 to 1.66)) by multivariable logistic regression analysis. In-hospital mortality (1.45 (1.02 to 2.06)), discharge to a nursing facility (1.31 (1.03 to 1.66)), and delayed candidate arrival ≥2-hour of intravenous rt-PA (2.04 (1.30 to 3.26)) and endovascular reperfusion therapy (2.27 (1.06 to 5.00)), were more likely to be observed in the deprived areas with higher ADI. In the capital areas, postal-code-ADI was not associated with prehospital delay (0.97 (0.66 to 1.41)).

CONCLUSIONS

Living in socioeconomically disadvantaged municipalities was associated with prehospital delays of acute ischaemic stroke in non-capital areas in Kochi prefecture, Japan. Poorer outcomes of those patients may be caused by delayed treatment of intravenous rt-PA and endovascular reperfusion therapy. Further studies are necessary to determine social risk factors in the capital areas.

TRIAL REGISTRATION NUMBER

This article is linked to a clinical trial to UMIN000050189, No.: R000057166 and relates to its Result stage.

Area-Level Socioeconomic Inequalities in Intracranial Injury-Related Hospitalization in Korea: A Retrospective Analysis of Data From Korea National Hospital Discharge Survey 2008-2015

BACKGROUND

Although inequality in traumatic brain injury (TBI) by individual socioeconomic status (SES) exists, interventions to modify individual SES are difficult. However, as interventions for area-based SES can affect the individual SES, monitoring or public health intervention can be planned. We analyzed the effect of area-based SES on hospitalization for TBI and revealed yearly inequality trends to provide a basis for health intervention.

METHODS

We included patients who were hospitalized due to intracranial injuries (ICIs) between 2008 and 2015 as a measure of severe TBI with data provided by the Korea National Hospital Discharge Survey. Area-based SES was synthesized using the 2010 census data. We assessed inequalities in ICI-related hospitalization rates using the relative index of inequality and the slope index of inequality for the periods 2008-2009, 2010-2011, 2012-2013, and 2014-2015. We analyzed the trends of these indices for the observation period by age and sex.

RESULTS

The overall relative indices of inequality for each 2-year period were 1.82 (95% confidence interval, 1.5-2.3), 1.97 (1.6-2.5), 2.01 (1.6-2.5), and 2.01 (1.6-2.5), respectively. The overall slope indices of inequality in each period were 38.74 (23.5-54.0), 36.75 (21.7-51.8), 35.65 (20.7-50.6), and 43.11 (27.6-58.6), respectively. The relative indices of inequality showed a linear trend for men (P = 0.006), which was most evident in the ≥ 65-year age group.

CONCLUSION

Inequality in hospitalization for ICIs by area-based SES tended to increase during the observation period. Practical preventive interventions and input in healthcare resources for populations with low area-based SES are likely needed.

Job Burnout Is Associated With Prehospital Decision Delay: An Internet-Based Survey in China

Background

Prehospital delay is associated with non-modifiable factors such as age, residential region, and disease severity. However, the impact of psychosocial factors especially for job burnout on prehospital decision delay is still little understood.

Method

This internet-based survey was conducted between 14 February 2021 and 5 March 2021 in China through the Wechat platform and web page. Self-designed questionnaires about the expected and actual length of prehospital decision time and the Chinese version of Maslach Burnout Inventory-General Survey, Type D Personality Scale-14, and Social Support Rating Scale were applied. A total of 1,039 general participants with a history of perceptible but tolerable body discomfort were included.

Results

The top six reasons for prehospital decision delay were: (1) endure until self-healing (50.7%), (2) too busy to ask for leave (40.3%), (3) process for seeing a doctor too complicated (35.8%), (4) too tired after work (26.2%), (5) worry about the expenditure (16.6%), and (6) fear of being identified as with serious problem (14.5%). The univariate analyses revealed that older age (p = 0.001), type D personality (p = 0.025), job burnout (p = 0.055), and worrying about expenditure (p = 0.004) were associated with prolonged prehospital decision time, while engaged in medical-related job (p = 0.028) and with more social support (p = 0.066) would shorten the delay. The multivariate analysis using logistic regression model with forward selecting method showed that age [per 10 years, odds ratio (OR) 1.19 (1.09–1.31), p < 0.001], job burnout [per 10 points in Maslach Burnout Inventory-General Survey (MBI-GS), OR 1.17 (1.04–1.31), p = 0.007], and worrying about expenditure [OR 1.75 (1.25–2.47), p = 0.001] were the three determinants for prehospital decision delay (>7 days). Mediating effects were analyzed by using bias-corrected percentile bootstrap methods (N = 10,000). Social support was found partially mediated the relationship between the determinants and prehospital decision time. The partial mediating effect of social support accounted for 24.0% of the total effect for job burnout and 11.6% for worrying about expenditure.

Conclusion

Psychosocial factors have a non-negligible impact on prehospital decision delay. The crucial part of prehospital decision delay may be the lack of motivation inside. Job burnout and lack of social support, as two commonly seen features in the modern world, should be given enough consideration in disease prevention and treatment.

Association of Esophageal Cancer Mortality with Municipal Socioeconomic Deprivation Level in Japan, 2013–2017: An Ecological Study Using Nationwide Data

This study aimed to show geographical differences in esophageal cancer mortality in Japan and reveal an association of esophageal cancer mortality with municipal socioeconomic deprivation level. Esophageal cancer mortality data in the Vital Statistics from 2013 to 2017 for each municipality and corresponding population data were analyzed. The deprivation level was derived from the municipal socioeconomic variables by principal component analysis. Municipalities were classified into five quintiles based on the deprivation level, and an association between the level and esophageal cancer mortality was evaluated using a Bayesian spatial model. As a result of regression analysis, the relative risk of esophageal cancer mortality tended to become larger as the deprivation level increased irrespective of sex, and the relative risk of esophageal cancer mortality was significantly higher in quintile 5 (most deprived) than quintile 1 (least deprived) among men and women. These results suggest that the deprivation level increases the risk of esophageal cancer mortality in Japan.