An Educational and Skill-Building Intervention to Improve Symptom Recognition and Interpretation in Women With Acute Coronary Syndrome: A Pilot Study

Symptom clusters and unplanned hospital readmission in Chinese patients with acute myocardial infarction on admission

Backgroud

Acute myocardial infarction (AMI) has a high morbidity rate, high mortality rate, high readmission rate, high health care costs, and a high symptomatic, psychological, and economic burden on patients. Patients with AMI usually present with multiple symptoms simultaneously, which are manifested as symptom clusters. Symptom clusters have a profound impact on the quality of survival and clinical outcomes of AMI patients.

Objective

The purpose of this study was to analyze unplanned hospital readmissions among cluster groups within a 1-year follow-up period, as well as to identify clusters of acute symptoms and the characteristics associated with them that appeared in patients with AMI.

Methods

Between October 2021 and October 2022, 261 AMI patients in China were individually questioned for symptoms using a structured questionnaire. Mplus 8.3 software was used to conduct latent class analysis in order to find symptom clusters. Univariate analysis is used to examine characteristics associated with each cluster, and multinomial logistic regression is used to analyze a cluster membership as an independent predictor of hospital readmission after 1-year.

Results

Three unique clusters were found among the 11 acute symptoms: the typical chest symptom cluster (64.4%), the multiple symptom cluster (29.5%), and the atypical symptom cluster (6.1%). The cluster of atypical symptoms was more likely to have anemia and the worse values of Killip class compared with other clusters. The results of multiple logistic regression indicated that, in comparison to the typical chest cluster, the atypical symptom cluster substantially predicted a greater probability of 1-year hospital readmission (odd ratio 8.303, 95% confidence interval 2.550-27.031, P < 0.001).

Conclusion

Out of the 11 acute symptoms, we have found three clusters: the typical chest symptom, multiple symptom, and atypical symptom clusters. Compared to patients in the other two clusters, those in the atypical symptom cluster-which included anemia and a large percentage of Killip class patients-had worse clinical indicators at hospital readmission during the duration of the 1-year follow-up. Both anemia and high Killip classification suggest that the patient's clinical presentation is poor and therefore the prognosis is worse. Intensive treatment should be considered for anemia and high level of Killip class patients with atypical presentation. Clinicians should focus on patients with atypical symptom clusters, enhance early recognition of symptoms, and develop targeted symptom management strategies to alleviate their discomfort in order to improve symptomatic outcomes.

Gender disparities in the mediating role of symptom knowledge level in reducing acute coronary syndrome (ACS) decision delay: Findings from a community-based study in China

BACKGROUND

Implementing training programs to educate patients on the prodromal symptoms of acute coronary syndrome (ACS) may assist patients in accurately recognizing these symptoms, and ultimately decrease their time delay in seeking emergency medical services (EMS). However, the effectiveness of this approach remains uncertain, particularly among the Chinese population.

METHODS

A cross-sectional study was conducted within 22 communities in Beijing, China between 2015 and 2018, with a total of 1099 participants recruited. The study utilized a standardized questionnaire to evaluate the presence of intentional decision delay in turning to EMS under a hypothetical chest pain, the participants' knowledge of ACS prodromal symptoms, and whether they had ever received any training programs aimed at increasing their symptom knowledge. Mediation analysis was performed with regression models and bootstrapping methods, and gender difference was further analyzed through moderated mediation analysis.

RESULTS

A total of 1099 participants (58.2% female, median [IQR] age 34 [20]) were included in the study. The results of the mediation analysis indicated that training programs were associated with a decrease risk in decision delay, with increased knowledge playing a mediating role (mediation effect/total effect = 36.59%, P < 0.0001). Gender modified this mediation effect, with it being observed only in the male group. Specifically, training programs were not found to significantly decrease decision delay among females (P > 0.05), even though they did improve women's knowledge of ACS prodromal symptoms (β = 0.57, P = 0.012).

CONCLUSION

The results suggested a relationship between prior training programs and reduced decision delay, with increased knowledge of prodromal symptoms of ACS serving as a mediator. However, the effect was only observed in male participants and not in female participants. This highlights the notion that mere transfer of knowledge regarding ACS prodromal symptoms may not be sufficient to mitigate decision delay in the female population. Further research is needed to corroborate these results and to gain deeper insights into the gender-specific barriers encountered in this study.

Predictors of acute coronary syndrome symptom knowledge, attitudes, and beliefs in adults without self-reported heart disease

BACKGROUND

The time of symptom onset to the time an individual decides to seek care is the most significant contributor to total treatment delay.

OBJECTIVES

To explore predictors of ACS symptom knowledge, attitudes, and beliefs in adults without diagnosed heart disease.

METHODS

We used a cross-sectional, descriptive, and correlational design, employing an online survey including the ACS Response Index and the avoidance subscale of the Coping Strategy Indicator. We leveraged social media platforms and a university email list-serv to enroll participants. Stepwise hierarchical linear regressions were used.

RESULTS

We analyzed responses from 981 participants, with a mean age of 35.2 years (SD 16.5) and 75% female. The regression analyses yielded models that explained 14%, 23%, and 25% of the variance for knowledge, beliefs, and attitudes, respectively. Ethnicity, race, exposure to ACS symptom information (in the media or by teaching), and perceived health were the predictors of ACS symptom knowledge, attitudes, and beliefs with the largest effect, though others were statistically significant.

CONCLUSIONS

The findings underscore the importance of community education to raise awareness of ACS symptoms while considering social determinants of health. Future research and clinician interventions for ACS symptom knowledge, attitudes and beliefs should be expanded with a focus on ethnicity and gender.

Symptom recognition and treatment-seeking behaviors in women experiencing acute coronary syndrome for the first time: a qualitative study

BACKGROUND

Women are more likely to delay medical help-seeking for ACS symptoms. Understanding patients' experience of the symptoms and their response is essential in improving help-seeking behaviors and timely diagnosis and treatment for ACS. This study aimed to explore women's experience of ACS, their response to the symptoms, and treatment-seeking decisions.

METHODS

This qualitative descriptive study was conducted in a tertiary referral specialized heart hospital affiliated with Tabriz University of Medical Sciences, Iran. Participants included 39 women who had experienced ACS for the first time.

RESULTS

Four main themes emerged from the analysis of interview transcripts: (1) the onset of symptoms, (2) the types of symptoms, (3) response to symptoms and (4) arriving at the hospital. These themes and associated sub-themes explained women's experience of ACS symptoms, their response to the symptoms, and decision to seek medical help.

CONCLUSIONS

This study identified and discussed factors contributing to the prehospital delay in women and their decision-making to seek medical care for ACS symptoms. The results are consistent with previous research indicating that ACS symptoms in women are somewhat different from men, and women tend to underestimate their symptoms and attribute them to non-cardiac causes. Women should be supported to develop awareness and understanding of ACS symptoms and appreciate the importance of early treatment-seeking in the disease outcomes.

Approaches to improving symptom appraisal: a systematic literature review

OBJECTIVES

Poor symptom appraisal (detection, interpretation and response to symptoms) plays a major role in prolonged prediagnosis interval in various health conditions. Theories and models have been proposed to study the symptom appraisal process but how they could be employed to improve symptom appraisal remains unclear. We therefore aimed to review approaches to improving symptom appraisal in the literature and to develop a theoretical framework that could guide the development of approaches to improving symptom appraisal among individuals in the general population.

DESIGN

Systematic review.

DATA SOURCES

Medline, Web of Science, PsycINFO, Embase, CINAHL and Scopus were searched from inception to 30 March 2021.

ELIGIBILITY CRITERIA

We included original articles in English in which approaches to improve the detection, interpretation or response to symptoms for symptomatic individuals were described. We excluded articles in which approaches were developed to improve symptom appraisal among healthcare professionals.

DATA EXTRACTION AND SYNTHESIS

A predefined data extraction form was used to extract the development, characteristics and evaluation of approaches to improving symptom appraisal. This formed the basis for the narrative synthesis.

RESULTS

Of 19 046 publications identified from the literature search, 112 were selected for full-text review and 29 approaches comprising provision of knowledge of symptoms/signs and additional components (eg, symptom self-examination and comparison) for symptom appraisal were included in the synthesis. Less than half (41.4%) of these approaches were developed based on theories/models. Interestingly, despite the variety of theories/models adopted in developing these approaches, the components of these approaches were similar.

CONCLUSION

Symptom appraisal is an essential process in a patient's journey that can be targeted to facilitate early diagnosis but is largely unstudied. Building on the literature, we proposed a theoretical framework and approaches to improving symptom appraisal. This could facilitate early identification of a variety of health conditions in the general population.

TRIAL REGISTRATION NUMBER

CRD42021279500.