Pre-hospital delay in patients with myocardial infarction: an observational study in a tertiary care hospital of northern Bangladesh

Factors affecting stroke pre-hospital delay behavioral intention among community residents: A path analysis

BACKGROUND

Pre-hospital delay is the major cause of stroke treatment delay, and behavioral intention is considered to be the most direct predictor of behavior. Therefore, to effectively reduce stroke pre-hospital delay, it is essential to further understand the relationship between stroke pre-hospital delay intention (SPDBI) and its social-psychological influencing factors, namely personality traits, social support and coping style.

AIM

This study aims at examining the relationships among personality traits, coping style, social support, and SPDBI.

METHODS

A cross-sectional, self-administered questionnaire was distributed to 845 residents. The content of the questionnaire included demographic information, the knowledge of "Stroke 120", Ten-Item Personality Inventory-Chinese version, Simplified Coping Style Questionnaire, Perceived Social Support Scale and SPDBI Scale. Path analysis was used to investigate the relationship among SPDBI and its psychosocial influencing factors.

RESULTS

The final path model showed a good fit to the data (χ2/df = 2.981, RMSEA = 0.048, GFI = 0.936, CFI = 0.941). Extroversion (β = 0.106), positive coping (β = -0.110), negative coping (β = 0.150) and the knowledge of "Stroke 120" (β = -0.152) had only direct effects on SPDBI. While agreeableness (β = 0.113), openness (β = -0.121) and social support (β = -0.118) had direct effects on SPDBI, they also had indirect effects (β = -0.009; -0.022; -0.049) on SPDBI though positive coping.

CONCLUSIONS

Adequate social support and positive coping of health threat may reduce residents' SPDBI. Meanwhile, the interventions to reduce SPDBI should take personality differences into consideration.

Presentation, management, and early outcomes of young acute coronary syndrome patients- analysis of 23,560 South Asian patients from 2012 to 2021

BACKGROUND

There is dearth of literature addressing early outcomes of acute coronary syndrome (ACS) among young patients, particularly South Asians descent who are predisposed to premature coronary artery disease (CAD). Therefore, we compared presentation, management, and early outcomes of young vs. old ACS patients and explored predictors of in-hospital mortality.

METHODS

We extracted data of 23,560 ACS patients who presented at Tabba Heart Institute, Karachi, Pakistan, from July 2012-June 2020, from the Chest pain-MI-Registry™. We categorized data into young ≤ 45 and old ACS patients > 45 years. Chi-sq/Fischer exact tests were used to assess the difference between presentation, disease management, and in-hospital mortality between both groups. Logistic regression was used to determine odds ratio along with 95% confidence interval of factors associated with early mortality.

RESULTS

The younger patients were 12.2% and women 23.5%. The prevalence of dyslipidemia (34.5% vs. 22.4%), diabetes (52.1% vs. 27.4%), and hypertension (68.3% vs. 42.9%) was higher in older patients. Family history of premature CAD (18.1% vs. 32.7%), smoking (40.0% vs. 22.9%), and smokeless tobacco use (6.5% vs. 8.4%) were lower in older patients compared to younger ones. Younger patients were more likely to present with STEMI (33.2% vs. 45%). The median symptom-to-door time was 125 min longer (p-value < 0.01) in the young patients compared to the older age group. In-hospital mortality (4.3% vs. 1.7%), cardiac arrest (1.9% vs. 0.7%), cardiogenic shock (1.9% vs. 0.9%), and heart failure (1% vs. 0.6%) were more common in older patients. After adjusting for other factors, younger age (AOR 0.6, 95% CI 1.5-3.7) had significantly lesser odds of in-hospital mortality. Other factors associated with early mortality included women, family history of premature CAD, STEMI, Killip class III and IV, coronary angiography, revascularization, CABG, and use of aspirin and beta blockers within the first 24 h.

CONCLUSION

We found every tenth ACS patient was younger than 45 years of age despite a lesser number of comorbidities such as hypertension and diabetes. Overall, the in-hospital prognosis of young patients was more favorable than that of older patients. The study emphasizes the need for tailored primary prevention programs for ACS, considering the varying risks among different age groups.

The potential of virtual triage AI to improve early detection, care acuity alignment, and emergent care referral of life-threatening conditions

Objective

To evaluate the extent to which patient-users reporting symptoms of five severe/acute conditions requiring emergency care to an AI-based virtual triage (VT) engine had no intention to get such care, and whose acuity perception was misaligned or decoupled from actual risk of life-threatening symptoms.

Methods

A dataset of 3,022,882 VT interviews conducted over 16 months was evaluated to quantify and describe patient-users reporting symptoms of five potentially life-threatening conditions whose pre-triage healthcare intention was other than seeking urgent care, including myocardial infarction, stroke, asthma exacerbation, pneumonia, and pulmonary embolism.

Results

Healthcare intent data was obtained for 12,101 VT patient-user interviews. Across all five conditions a weighted mean of 38.5% of individuals whose VT indicated a condition requiring emergency care had no pre-triage intent to consult a physician. Furthermore, 61.5% intending to possibly consult a physician had no intent to seek emergency medical care. After adjustment for 13% VT safety over-triage/referral to ED, a weighted mean of 33.5% of patient-users had no intent to seek professional care, and 53.5% had no intent to seek emergency care.

Conclusion

AI-based VT may offer a vehicle for early detection and care acuity alignment of severe evolving pathology by engaging patients who believe their symptoms are not serious, and for accelerating care referral and delivery for life-threatening conditions where patient misunderstanding of risk, or indecision, causes care delay. A next step will be clinical confirmation that when decoupling of patient care intent from emergent care need occurs, VT can influence patient behavior to accelerate care engagement and/or emergency care dispatch and treatment to improve clinical outcomes.

Factors Responsible for Worse Outcomes in STEMI Patients With Early vs Delayed Treatment Presenting in a Tertiary Care Center in a Third World Country

The aim of the study is to compare the outcomes among ST-segment elevation myocardial infarction (STEMI) cases with early treatment vs delayed treatment. It was a prospective comparative study on 186 patients with consecutive (nonprobability) sampling. Two groups of cases were made as per their time to get admitted to the hospital (ie, within 2 hours of symptom onset = Group A; after 2 hours of symptom onset = Group B). Patients were asked for factors causing a delay in treatment after the onset of symptoms and were monitored for STEMI outcomes. The mean age of all patients was 46.62 ± 9.76 years and there were 140 (75.27%) male and 46 (24.73%) female, and male to female ratio 3:1.Factors significant for delayed treatment vs nondelayed treatment were poor social economic status (65.6% vs 20.4%), history of chronic stable angina (33.3% vs 11.8%), delayed response in the emergency room (20.4% vs 8.6%), delayed ECG acquisition (26.9% vs 8.6%), delayed ECG interpretation (25.8% vs 4.3%), pain at night 12:00-6:00 AM (21.5% vs 9.7%) and belief that the chest pain is noncardiac (26.9% vs 3.2%). Acute heart failure was significantly greater in group B (9.7%) in comparison with group A (2.2%), re-infarction was 18.3% in group B in comparison with 7.5% group A. Similarly sustained ventricular tachycardia and ventricular fibrillation and in-hospital mortality were higher in group B (12.9%, 14%, and 12.9% respectively). Due to delayed treatment patients had higher hospital stays, and complications, like acute heart failure, re-infarction, ventricular fibrillation, and in-hospital mortality.

Prevalence and determinants of delays in care among premature deaths due to acute cardiac conditions and stroke in residents of a district in India

Background

Lack of timely care is a predictor of poor outcomes in acute cardiovascular emergencies including stroke. We assessed the presence of delay in seeking appropriate care among those who died due to cardiac/stroke emergencies in a community in northern India and identified the reasons and determinants of this delay.

Methods

We conducted a social audit among all civil-registered premature (30-69 years) deaths due to acute cardiac event or stroke in the district. The three-delays model was used to qualitatively classify the delays in care-seeking-deciding to seek care, reaching the appropriate health facility (AHF) and initiating definitive treatment. Based on the estimated time from symptom onset to reaching AHF, we classified patients as early (reached within one hour) or delayed arrivers. We used mixed-effect logistic regression with postal code as a random effect to identify determinants of delayed arrival.

Findings

Only 10.8% of the deceased reached an AHF within one hour. We noted level-1 delay in 38.4% (60% due to non-recognition of seriousness); level-2 delay in 20% (40% due to going to an inappropriate facility) and level-3 delay in 10.8% (57% due to lack of affordability). Patients with a monthly family income of >270US$ (aOR 0.44; 95% CI 0.21-0.93) were less and those staying farther from AHF (aOR 1.12; 95% CI 1.01-1.25 for each Km) were more likely to have delayed arrival in AHF.

Interpretation

A small proportion of patients with cardiac and stroke emergencies reach health facility early with delays at multiple levels. Addressing the reasons for delay could prevent these deaths.

Funding

: Indian Council of Medical Research, New Delhi, India.

Factors associated with prehospital delay in acute myocardial infarction in Maldives

BACKGROUND

Acute myocardial infarction (AMI) is the top cause of death in Maldives. Our study aims to determine the prehospital delay and its associated factors in AMI patients in Maldives.

METHODS

A cross-sectional study was conducted with 127 patients, divided into early (≤ 6 h) and delayed (> 6 h) presenters to the hospital. The data collection for the study was carried out by interviewing AMI patients, focusing on their socio-demographic characteristics, coronary artery disease risk factors, clinical symptoms, situational factors, and behavioral and cognitive responses to symptoms.

RESULTS

The median onset-to-door time was 230 (IQR 420) minutes. The mean age of AMI patients was 50.9 (SD ± 12.9) years old, and 39.4% of them had delayed presentation to the hospital. Smokers (adj OR = 0.3; 95% CI: 0.1, 0.9; P = 0.047) and those with previous episodes of chest pain or AMI (adj OR = 0.2; 95% CI: 0.03, 0.91; P = 0.038) were significant factors for early presentation to the hospital, while denial of symptoms (adj OR = 29.3; 95% CI: 1.6, 547.2; P = 0.024) and lack of knowledge (adj OR = 7.2; 95% CI: 1.77, 29.43; P = 0.006) led to a delayed decision to seek treatment. Situational factors such as onset at the workplace (adj OR = 5.8; 95% CI: 1.24, 26.83; P = 0.025) had lower odds of delay, whereas referral cases (adj OR = 7.7; 95% CI: 1.9, 30.94; P = 0.004) and use of sea ambulance (adj OR = 11.1; 95% CI: 2.8, 43.8; P = 0.001) were prone to delay in presentation to the hospital.

CONCLUSION

Sea ambulance, referral cases, lack of knowledge, and denial of symptoms are significant factors associated with prehospital delay among patients with AMI. Public awareness about the benefits of early presentation and improvement of the means of transportation between islands is suggested to improve emergency cardiac care in the country.

Factors Responsible for Prehospital Delay in Patients with Acute Coronary Syndrome in Bangladesh

Background: Acute coronary syndrome (ACS) remains a cause of high morbidity and mortality among adults, despite advances in treatment. Treatment modality and outcomes of ACS mainly depend on the time yielded since the onset of symptoms. Prehospital delay is the time between the onset of myocardial ischemia/infarction symptoms and arrival at the hospital, where either pharmacological or interventional revascularization is available. This delay remains unacceptably long in many countries worldwide, including Bangladesh. The current study investigates several sociodemographic characteristics as well as clinical, social, and treatment-seeking behaviors, with an aim to uncover the factors responsible for the decision time to get medical help and home-to-hospital delay. Materials and Methods: A prospective cross-sectional study was conducted between July 2019 and June 2020 in 21 district hospitals and 6 medical college hospitals where cardiac care facilities were available. The population selected for this study was patients with ACS who visited the studied hospitals during the study period. Following confirmation of ACS, a semi-structured data sheet was used to collect the patient data and was subsequently analyzed. Results: This study evaluated 678 ACS patients from 30 districts. The majority of the patients were male (81.9%), married (98.2%), rural residents (79.2), middle-aged (40–60 years of age) (55.8%), low-income holders (89.4%), and overweight (56.9%). It was found that 37.5% of the patients received their first medical care after 12 h of first symptom presentation. The study found that the patients’ age, residence, education, and employment status were significant factors associated with prehospital delay. The patients with previous myocardial infarction (MI) and chest pain arrived significantly earlier at the hospital following ACS onset. Location of symptom onset, first medical contact with a private physician, distance from symptom onset location to location of first medical contact, the decision about hospitalization, ignorance of symptoms, and mode of transportation were significantly associated with prehospital delay. Conclusions: Several factors of prehospital delay of the ACS patients in Bangladesh have been described in this study. The findings of this study may help the national health management system identify the factors related to treatment delay in ACS and thus reduce ACS-related morbidity and mortality.

Treatment Seeking Behaviors and Associated Factors among Patients Experiencing Acute Coronary Syndrome Using Health Belief Model in Addis Ababa, Ethiopia

Background

Acute coronary syndrome (ACS) is a life-threatening condition. The mortality rate will be reduced if immediate treatment is provided. Patients' awareness of ACS is limited, so they do not seek help as quite often as they should. The level of treatment seeking behavior and associated factors among ACS patients admitted to three hospitals in Addis Ababa, Ethiopia, were assessed using a health belief model.

Methods

A cross-sectional study was conducted among 330 ACS patients from November 2019 to December 2020. Sociodemographic and clinical variables data were extracted using pre-tested checklist. The outcome and other variables data were collected using the checklist and structured questionnaire. The data were entered into Epi-data 3.1 and exported to STATA 17.1 for analysis. Descriptive statistics relevant to the variable was performed. A multivariable logistic regression was used to identify factors associated with treatment seeking behavior.

Results

This study revealed that the mean time from symptom onset to arrival at the emergency unit (EU) was 24 ± 19.5 hours, slightly < half of the participants (n=149, 45.1 %) had adequate treatment seeking behavior. Perceived threat (AOR=1.03,95% CI:1.01–1.06, p=0.002), perceived benefits (AOR=1.09, 95%CI: 1.02–1.0, p≤0.001), self-efficacy (AOR=1.16, 95% CI :1.01- 1.22, p≤0.001), education (AOR=2.2,95%CI:1.31–3.9, p≤0.01) self-autonomy (AOR=3.1,95%CI:1.82–5.4, p<.001) and no depression (AOR=1.9,95%CI:1.1–3.3, p≤0.05) were found to have significantly association with adequate treatment seeking behavior.

Conclusion

This study indicates, less than half of ACS patients had adequate treatment seeking behavior. Thus, context-specific behavioral interventions, along with public awareness campaigns about ACS, should be implemented.

Practice and Evaluation of a Protocol for Collating Information Related to the Emergency Clinical Pathway for Patients With Acute ST-Segment Elevation Myocardial Infarction

Acute ST elevation myocardial infarction (STEMI) is a common acute and critical disease that requires rapid treatment within a limited window of time. In this study, we attempt to introduce a clinical pathway for the whole-process management of emergency STEMI based on the creation of a specific information system that matches the characteristics of emergency clinical work and evaluates their clinical value by quality control analysis. We deployed this system for 3 years and found that complications, heart failure, and medical costs during hospitalization were significantly reduced (p = 0.019) in patients with STEMI. By analyzing each link in the clinical pathway, our research indicates the clear clinical importance of developing methods to continuously improve data quality. Collectively, out research led to the optimization of an information system that will facilitate the clinical management of patients with STEMI.

Study of outcomes of delay in referral of patients with acute myocardial infarction

BACKGROUND

Delay in seeking medical help in patients with acute myocardial infarction (AMI) challenges the patients in terms of diagnosis and treatment. This study aimed to evaluate the outcomes of delay referral (≥12 h) in patients with AMI.

MATERIALS AND METHODS

In this retrospective cohort study, the medical records of 252 patients with AMI (2017-2019) admitted to Shahid Beheshti Hospital, Qom, Iran, was reviewed. Data collection tool was a researcher-made data sheet that included demographic characteristics, times, hospitalization costs, risk factors, history of heart disease, results of paraclinical tests, clinical information at the time of admission, and outcomes of delayed referral. Data were analyzed using t-test, Chi-square, Kaplan-Meier estimator, log-rank test, Cox regression by STATA, and SPSS (version 25).

RESULTS

The levels of troponin, creatine phosphokinase, lactate dehydrogenase were significantly higher in the delayed referral group (P < 0.05). After treatment, the cardiac ejection fraction was significantly different in the nondelayed referral (41.56 ± 9.16) and the delayed referral group (38.39 ± 11.01) (P < 0.001). There was no significant difference in the percentage of hospital deaths in the groups (P = 0.078).

CONCLUSION

Delayed referral of patients with AMI is associated with decreased physiological cardiac function, which complicates recovery for these patients.

Perceived personal risk and vulnerability in recognizing and responding to symptoms of acute coronary syndrome: an integrative review

BACKGROUND

Simply knowing the common symptoms of acute coronary syndrome (ACS) is not sufficient to ensure prompt care-seeking when these symptoms occur. Factors other than symptom knowledge contribute to prompt care-seeking behaviours and correct symptom attribution to the heart.

OBJECTIVES

To explore how perceived personal risk and perceived personal vulnerability towards ACS affect a person's ACS symptom recognition and attribution and also how this perception affects a person's response to ACS symptoms.

DESIGN

An integrative review, using Whittemore and Knafl's approach.

DATA SOURCES

PubMed, Academic Search Complete, CINAHL Complete, APA PsycINFO, and APA PsycARTICLES.

ELIGIBILITY CRITERIA FOR STUDY SELECTION

We included studies that (i) were original human-subjects research or secondary analyses of human-subjects research, (ii) provided information about how perceptions of risk or perceptions of vulnerability towards ACS or heart disease affect symptom recognition, attribution, and/or response to symptoms, and (iii) were published in English.

RESULTS

Thirteen articles were included. Studies were conducted in nine different countries and were descriptive or exploratory in nature. The existing evidence suggests that perceived personal risk or vulnerability towards heart disease may promote earlier care-seeking for ACS symptoms and facilitates attribution of symptoms to the heart.

CONCLUSION

The designs of the included studies limit causal attribution, and additional prospective and intervention-based research is needed to determine how perceived risk/vulnerability may affect care-seeking and ACS symptom attribution. Increasing perceptions of vulnerability towards heart disease may reduce care seeking delay.

Pre hospital delay and its associated factors in acute myocardial infarction in a developing country

Background

Early revascularization and treatment is key to improving clinical outcomes and reducing mortality in acute myocardial infarction (AMI). In low- and middle-income countries such as Bangladesh, timely management of AMI is challenging, with pre-hospital delays playing a significant role. This study was designed to investigate pre-hospital delay and its associated factors among patients presenting with AMI in the capital city of Dhaka.

Methods

This retrospective cohort study was conducted on 333 patients presenting with AMI over a 3-month period at two of the largest primary reperfusion-capable tertiary cardiac care centres in Dhaka. Of the total patients, 239(71.8%) were admitted in the National Institute of Cardiovascular Diseases, Dhaka and 94(28.2%) at Ibrahim Cardiac Hospital & Research Institute, Dhaka Data were collected from patients by semi-structured interview and hospital medical records. Pre-hospital delay (median and inter-quartile range) was calculated. Statistical significance was determined by Chi-square test. Multivariate logistic regression analysis was done to determine the independent predictors of pre-hospital delay.

Results

The mean age of the respondents was 53.8±11.2 years. Two-thirds (67.6%) of the respondents were males. Median total pre-hospital delay was 11.5 (IQR-18.3) hours with median decision time from symptom onset to seeking medical care being 3.0 (IQR: 11.0) hours. Nearly half (48.9%) of patients presented to the hospital more than 12 hours after symptom onset. On multivariate logistic regression analysis, AMI patients with absence of typical chest pain [OR 5.21; (95% CI: 2.5–9.9)], diabetes [OR: 1.7 (95% CI: 1.0–2.9)], residing/staying > 30 km away from nearest hospital at the time of onset [OR: 4.3(95% CI = 2.3–7.2)] and belonged to lower and middle class [OR: 1.9(95% CI = 1.0–3.5)] were significantly associated with pre-hospital delays.

Conclusion

Acute myocardial infarction (AMI) patients with atypical chest pain, diabetes, staying far away from nearest hospital and belonged to lower and middle socioeconomic strata were significantly associated with pre-hospital delays. The findings could have immense implications for improvements about timely reaching of AMI patients to the hospital within the context of their sociodemographic status and geographic barriers of the city.

Reasons for delay in seeking healthcare among women with acute coronary syndrome from rural and urban areas in Jordan

We aimed to explore reasons for delay in seeking healthcare among women with acute coronary syndrome (ACS) for the first time from urban and rural areas in Jordan. A qualitative descriptive design was used through face-to-face interviews with 33 women. Themes that explained why women delayed seeking healthcare when experiencing ACS were: Knowledge deficit about coronary artery disease; the effect of disparity in healthcare services on women decision; and life priorities of women during the ACS attack. Educational needs should be addressed based on variations in both areas.Supplemental data for this article is available online at https://doi.org/10.1080/07399332.2021.1955889 .

Correlates of Delayed Initial Contact to Emergency Services among Patients with Suspected ST-Elevation Myocardial Infarction

Background

Early diagnosis and treatment of a patient displaying symptoms of myocardial ischemia is paramount in preventing detrimental tissue damage, arrhythmias, and death. Patient-related hospital delay is the greatest considerable cause of total delay in treatment for acute myocardial infarction.

Objective

To identify patient characteristics contributing to prehospital delay and ultimately developing health interventions to prevent future delay and improve health outcomes.

Methods

A retrospective chart review of 287 patients diagnosed with ST-elevation myocardial infarction (STEMI) was evaluated to examine correlates of patient-related delays to care.

Results

Stepwise logistic regression modeling with forward selection (likelihood ratio) was performed to identify predictors of first medical contact (FMC) within 120 minutes of symptom onset and door-to-balloon (DTB) time within 90 minutes. Distance from the hospital, being unmarried, self-medicating, disability, and hemodynamic stability emerged as variables that were found to be predictive of FMC within the first 120 minutes after symptom onset. Similarly, patient characteristics of gender and disability and having an initial nondiagnostic electrocardiogram emerged as significant predictors of DTB within 90 minutes.

Conclusions

Individual attention to high-risk patients and public education campaigns using printed materials, public lectures, and entertainment mediums are likely needed to disseminate information to improve prevention strategies. Future research should focus on identifying the strengths of prehospital predictors and finding other variables that can be established as forecasters of delay. Interventions to enhance survival in acute STEMI should continue as to provide substantial advances in overall health outcomes.

Health-seeking and diagnosis delay and its associated factors: a case study on COVID-19 infections in Shaanxi Province, China

This time-to-event study examines social factors associated with health-seeking and diagnosis of 165 COVID-19 cases in response to the pandemic spread in Shaanxi Province, China. In particular, we investigate the differential access to healthcare in terms of delayed time from symptom onset to first medical visit and subsequently to diagnosis by factors such as sex, age, travel history, and type of healthcare utilization. We show that it takes more time for patients older than 60 (against those under 30) to seek healthcare after developing symptoms (+ 2.5 days, [Formula: see text]), surveillance on people with living or travel history to Wuhan helps shorten the time to the first doctor visit (- 0.8 days) and diagnosis (- 2.2 days, [Formula: see text]). A delay cut is associated with the adoption of intermediary and large hospitals rather than community-based care as primary care choices (- 1.6 days, [Formula: see text] and - 2.2 days, [Formula: see text]). One unit increase of healthcare workers per 1000 people saves patients 0.5 days ([Formula: see text]) for diagnosis from the first doctor visit and 0.6 days ([Formula: see text]) in total. Our analysis of factors associated with the time delay for diagnosis may provide a better understanding of the health-seeking behaviors of patients and the diagnosis capacity of healthcare providers during the COVID-19 pandemic.

Pre-hospital Delay and Its Reasons in Patients With Acute Myocardial Infarction Presenting to a Primary Percutaneous Coronary Intervention-Capable Center

Objective

This study aimed to assess the duration of pre-hospital delay among ST-Segment Elevation Myocardial Infarction (STEMI) patients and its contributing factors.

Methodology

A cross-sectional study was conducted at Rural Satellite Center in Larkana, Pakistan from May to September 2020. A total of 240 STEMI patients who underwent primary percutaneous coronary intervention (P-PCI) were included. The patients' demographic characteristics, index event characteristics, mode of transportation, misinterpretations, misdiagnoses, and financial problems were recorded. Data were analyzed using SPSS version 22.0 (IBM Corp., Armonk, NY, USA).

Results

The observed pre-hospital time was 120 minutes; 229 (median; interquartile range [IQR]). It was found that 33.3% of patients arrived within one hour of the symptom onset, while 20.4% of patients delayed hospital arrival for more than six hours. The delay rate was highest among patients aged 41 to 65 years. Moreover, delayed admissions were more common among females as compared to males (p=0.008). Among the causes of delay in hospital arrival were misinterpretation, misdiagnosis, and transportation and financial issues. Of these, misdiagnosis significantly influenced the delay rate, i.e., more than 50% of the misdiagnosed patients arrived hospital after six hours of symptom onset (p<0.05).

Conclusion

The P-PCI rural satellite center had a positive impact as the observed pre-hospital delay rate was considerably less as compared to that reported in the existing literature. Moreover, the confounding factors were misdiagnosis and misinterpretations. We need to develop the concept of immediate appropriate help-seeking among patients.