Help-seeking behaviour and subsequent patient and system delays in stroke

"I didn't even wonder why I was on the floor" - mixed methods exploration of stroke awareness and help-seeking behaviour at stroke symptom onset

INTRODUCTION

To better target stroke awareness efforts (pre and post first stroke) and thereby decrease the time window for help-seeking, this study aims to assess quantitatively whether stroke awareness is associated with appropriate help-seeking at symptom onset, and to investigate qualitatively why this may (not) be the case.

METHODS

This study conducted in a German regional stroke network comprises a convergent quantitative-dominant, hypothesis-driven mixed methods design including 462 quantitative patient questionnaires combined with qualitative interviews with 28 patients and seven relatives. Quantitative associations were identified using Pearson's correlation analysis. Open coding was performed on interview transcripts before the quantitative results were used to further focus qualitative analysis. Joint display analysis was conducted to mix data strands. Cooperation with the Patient Council of the Department of Neurology ensured patient involvement in the study.

RESULTS

Our hypothesis that stroke awareness would be associated with appropriate help-seeking behaviour at stroke symptom onset was partially supported by the quantitative data, i.e. showing associations between some dimensions of stroke awareness and appropriate help-seeking, but not others. For example, knowing stroke symptoms is correlated with recognising one's own symptoms as stroke (r = 0.101; p = 0.030*; N = 459) but not with no hesitation before calling help (r = 0.003; p = 0.941; N = 457). A previous stroke also makes it more likely to recognise one's own symptoms as stroke (r = 0.114; p = 0.015*; N = 459), but not to be transported by emergency ambulance (r = 0.08; p = 0.872; N = 462) or to arrive at the hospital on time (r = 0.02; p = 0.677; N = 459). Qualitative results showed concordance, discordance or provided potential explanations for quantitative findings. For example, qualitative data showed processes of denial on the part of patients and the important role of relatives in initiating appropriate help-seeking behaviour on patients' behalf.

CONCLUSIONS

Our study provides insights into the complexities of the decision-making process at stroke symptom onset. As our findings suggest processes of denial and inabilities to translate abstract disease knowledge into correct actions, we recommend to address relatives as potential saviours of loved ones, increased use of specific situational examples (e.g. lying on the bathroom floor) and the involvement of patient representatives in the preparation of informational resources and campaigns. Future research should include mixed methods research from one sample and more attention to potential reporting inconsistencies.

Precision emergency medicine

BACKGROUND

Precision health is a burgeoning scientific discipline that aims to incorporate individual variability in biological, behavioral, and social factors to develop personalized health solutions. To date, emergency medicine has not deeply engaged in the precision health movement. However, rapid advances in health technology, data science, and medical informatics offer new opportunities for emergency medicine to realize the promises of precision health.

METHODS

In this article, we conceptualize precision emergency medicine as an emerging paradigm and identify key drivers of its implementation into current and future clinical practice. We acknowledge important obstacles to the specialty-wide adoption of precision emergency medicine and offer solutions that conceive a successful path forward.

RESULTS

Precision emergency medicine is defined as the use of information and technology to deliver acute care effectively, efficiently, and authentically to individual patients and their communities. Key drivers and opportunities include leveraging human data, capitalizing on technology and digital tools, providing deliberate access to care, advancing population health, and reimagining provider education and roles. Overcoming challenges in equity, privacy, and cost is essential for success. We close with a call to action to proactively incorporate precision health into the clinical practice of emergency medicine, the training of future emergency physicians, and the research agenda of the specialty.

CONCLUSIONS

Precision emergency medicine leverages new technology and data-driven artificial intelligence to advance diagnostic testing, individualize patient care plans and therapeutics, and strategically refine the convergence of the health system and the community.

Dispatcher Stroke/TIA Recognition in Emergency Medical Call Center and Out-of-Hours Service Calls in Copenhagen, Denmark

Background and Objectives

Recognition of stroke/TIA symptoms by emergency medical services (EMS) is instrumental in providing timely recanalization treatments. We assessed the recognition of stroke/TIA by EMS via the emergency medical call center (EMCC) dispatchers and out-of-hours health service (OOHS) dispatchers.

Methods

In a registry study, based on 2015-2020 data from the Copenhagen EMS, we calculated sensitivity, positive predictive value (PPV), specificity, and negative predictive value (NPV) of dispatcher suspicion of stroke or transient ischemic attack (TIA) and compared against discharge diagnosis.

Results

We included 462,029 contacts to EMCC and 2,573,865 contacts to OOHS. In total, 19,798 contacts had a stroke or TIA diagnosis at hospital discharge. Sensitivity was 0.64 for EMCC dispatchers and 0.25 for OOHS. PPV was 0.28 for EMCC and 0.22 for OOHS; specificity was 0.96 for EMCC and >0.99 for OOHS, and NPV was 0.99 for EMCC and >0.99 for OOHS. Sensitivity improved over the period of the study from 0.62 to 0.68 for EMCC and from 0.20 to 0.25 for OOHS. PPV did not change over the period for EMCC and decreased from 0.26 to 0.19 for OOHS. Both EMCC and OOHS more frequently overlooked stroke in women, in patients calling more than 3 hours after symptom onset, and for more severe strokes. For OHHS, advanced age correlated with lower recognition.

Discussion

As the first study reporting on OOHS setting dispatcher stroke/TIA recognition, we find a need for the improvement of stroke/TIA recognition both in EMCC and in OOHS. Solutions may include specific training of dispatchers, public awareness campaigns, and new technological solutions.

Delayed Diagnosis of Intracranial Trauma

Introduction Trauma is one of the leading causes of death and hospitalization in the United States. Head trauma often results in significant morbidity and mortality. This study was undertaken to identify reasons for delay in diagnosis of intracranial trauma. Methods This retrospective study analyzed patients with intracranial trauma between 2016 and 2022, in which there was a delay of two days or more from the date of injury to the date of diagnosis. Results Among 809 patients with head trauma, 140 subjects were identified with delayed diagnosis of intracranial trauma (17.3%). The most common diagnoses were subdural hemorrhage (N = 82; 56%) and intraparenchymal hemorrhage (N = 33; 24%). The most common reasons for delay in diagnosis included patient delay in seeking care (N = 111; 79%), and delayed diagnosis during inpatient hospitalization (N = 16; 11%) (Chi-Square <0.0001) (Table 2). Among inpatients with delayed diagnosis, confounding issues included alcohol intoxication (N = 4; 3%), other injuries (N = 9; 6%), and mental health issues (N = 2; 1%). Conclusions Among patients with delayed diagnosis of intracranial trauma, the majority of delays in diagnosis were due to patient delay in seeking care. Future directions may include improved public education regarding trauma and the importance of seeking timely medical care.

Association between Prehospital Visits and Poor Health Outcomes in Korean Acute Stroke Patients: A National Health Insurance Claims Data Study

This study aimed to determine whether prehospital visits to other medical institutions before admission are associated with prolonged hospital stay, readmission, or mortality rates in acute stroke patients. Using the claims data from the Korean Health Insurance Service, a cross-sectional study was conducted on 58,418 newly diagnosed stroke patients aged ≥ 20 years from 1 January 2019 to 31 December 2019. Extended hospital stay (≥7 days; median value) following initial admission, readmission within 180 days after discharge, and all-cause mortality within 30 days were measured as health outcomes using multiple logistic regression analysis after adjusting for age, sex, income, residential area, and medical history. Stroke patients with a prehospital visit (10,992 patients, 18.8%) had a higher risk of long hospitalization (odds ratio = 1.06; 95% confidence interval = 1.02-1.10), readmission (1.19; 1.14-1.25), and mortality (1.23; 1.13-1.33) compared with patients without a prehospital visit. Female patients and those under 65 years of age had increased unfavorable outcomes (p < 0.05). Prehospital visits were associated with unfavorable health outcomes.

Factors influencing patient delay in individuals with obstructive sleep apnoea: a study based on an integrated model

BACKGROUND

Obstructive sleep apnoea (OSA) is the most common sleep-related breathing disorder, yet it remains undiagnosed in a large proportion of adults.

OBJECTIVE

This study aims to investigate the status of patient delay and provider delay in OSA patients and examine related factors affecting patient delay in OSA individuals in China.

METHODS

A cross-sectional design was conducted on a sample of 309 OSA patients (aged from 18 to 76, median age of 47 years, 84.8% male) in Northeast China. Participants were required to complete the sociodemographic questionnaire, the symptom characteristics questionnaire, the help-seeking attitude scale (HSAS), the social support rating scale and the chronic disease self-efficacy scales (CDSES) to test the hypothesis. Binary logistic regression analysis was conducted to explore factors that account for the patient delay.

RESULTS

The median patient delay among OAS patients in this study was 22 months, the median provider delay was one month, and the median total delay was 26 months. As shown by multivariate analysis results, patients who have snored for over 6 years (OR = 3.377, 95%CI: 1.175-9.702) were more likely to experience prolonged patient delays. Per capita monthly family income above 3000 RMB (OR = 0.172, 95%CI: 0.052-0.571), taking up residence in cities or towns (OR = 0.484, 95%CI: 0.248-0.946), higher self-recognition of the disease (OR = 0.793, 95%CI: 0.647-0.972), higher objective support (OR = 0.825, 95%CI: 0.739-0.921) and stronger self-efficacy (OR = 0.674, 95%CI: 0.525-0.867) were significantly associated with shorter patient delays.

CONCLUSION

Patient delay is common in Chinese OSA patients. The upstream factors affecting the patient delay in individuals with OSA include income, place of residence, and objective support; midstream factors include self-recognition of the disease and self-efficacy; downstream factors include years of snoring.KEY MESSAGESDespite being a high-prevalence disease, many obstructive sleep apnoea (OSA) patients are not clearly diagnosed and treated.The factors affecting the delay in seeking medical treatment in individuals with OSA included income, place of residence, objective support, self-recognition of the disease, self-efficacy and years of snoring.Investigations into OSA patients' care-seeking behaviours can better reflect the secondary prevention of OSA, and it is crucial to pay attention to the delayed phase of patients.

Atypical painful stroke presentations: A review

Stroke is a leading cause of death and disability. Some patients may present with atypical symptoms. One of the very rare presentations of stroke is initial neurogenic pain. Rare painful presentations include, amongst others, acute trigeminal neuralgia, atypical facial pain, hemi-sensory pain, and episodic pain. Based on the available literature, the pain at presentation may be episodic, transient, or persistent, and it may herald other debilitating stroke symptoms such as hemiparesis. Pain quality is often described as burning; less often as sharp. Patients often have accompanying focal symptoms and findings on neurological examination. However, in several of the reviewed cases, these were discrete or non-existent. In patients with pain located in the trunk and/or extremities, lesions may involve the thalamus, lateral medulla oblongata, insula, or parietal lobe. In patients with atypical facial or orbital pain (including the burning "salt and pepper" sensation), the stroke lesions are typically located in the pons. In this narrative review, we included studies/case series of patients who had pain at the time of onset, shortly before or within 24 h of stroke symptoms (on the day of admission). Cases with pain related to aortic or cervical vessel dissection, cerebral venous sinus thrombosis, subarachnoid hemorrhage, reversible cerebral vasoconstriction syndrome, and CNS vasculitis were excluded. With this review, we aim to summarize the current knowledge on stroke presenting with acute pain.

Reasons and predictors of non-thrombolysis in patients with acute ischemic stroke admitted within 4.5 h

Objectives

Thrombolytic treatment in acute ischemic stroke (AIS) reduces stroke‐related disability. Nearly 40% of all patients with AIS (<4.5 h) receive thrombolysis, but there is a large variation in the use between hospitals. Little is known about reasons and predictors for not giving thrombolytic treatment. Therefore, we aimed to investigate reasons for non‐thrombolysis in patients admitted within 4.5 h.

Methods

All patients with AIS (<4.5 h) admitted to Akershus University Hospital, Norway, between January 2015 and December 2017 were examined. Patient characteristics and reasons for not giving thrombolysis were registered. Descriptive statistics and logistic regression analyses were performed.

Results

Of 535 patients admitted with AIS (<4.5 h), 250 (47%) did not receive thrombolysis and of these only 26% had an absolute contraindication to treatment. Among the 74% with relative contraindications, the most common reasons given were mild and improving symptoms. Previous stroke (OR 3.32, 95%CI 1.99–5.52), arriving between 3 h and 4.5 h after onset (OR 7.76, 95%CI 3.73–16.11) or having mild symptoms (OR 2.33, 95%CI 1.56–3.49) were all significant predictors of not receiving thrombolytic treatment in the multivariable logistic regression model.

Conclusion

A large proportion of patients with AIS do not receive thrombolysis. This study highlights up‐to‐date findings that arriving late in the time window, mild symptoms, and previous stroke are strong predictors of non‐treatment. It is uncertain whether there is an underuse of thrombolysis in AIS. Increasing the utility of thrombolysis in the 4.5 h time window must be weighed against possible harms.