Skip to main content

Understanding the stakeholders’ preferences on a mobile application to reduce door to balloon time in the management of ST-elevated myocardial infarction patients – a qualitative study

Abstract

Background

ST-elevated myocardial infarction (STEMI) is a critical and time-sensitive emergency. The survival depends on prompt initiation of treatment requiring high precision and multi-level coordination between healthcare staff. The use of a mobile application may facilitate prompt management and shorten the door-to-balloon time by capturing information at the point of care and provide immediate feedback to all healthcare staff involved in STEMI management.

The objective of the present study has two primary components: (i) to explore the suggestions and opinions of stakeholders in the development of a novel mobile app for code activation in management of STEMI patients (ii) to find out the healthcare workers’ expectations including facilitating steps and challenges in the activation process of the proposed mobile app.

Methods

Unstructured interviews were conducted with key informants (n = 2) to identify all stakeholders, who also helped in developing the interview protocol and prototype designs. In-depth, semi-structured, open-ended, face to face interviews were conducted on 22 stakeholders involved in managing STEMI patients. All interviews were recorded and transcribed verbatim. Data were analyzed using ATLAS.ti 8 software, allowing themes and subthemes to emerge.

Results

The 22 participants included in the study were cardiology physicians (n = 3), emergency consultants (n = 4), emergency room (ER) senior nurses (n = 10), and cardiac catheterization lab staff (n = 5). The main themes identified during analysis were workflow and the App. The themes identified from the interviews surrounding the App were: 1) facilitating ideas 2) management steps needed 3) features 4) preferred code activation method 5) steps of integration 6) possible benefits of the App 7) barriers and 8) possible solutions to the suggested barriers. Most of the interviewed stakeholders expressed their acceptance after viewing the proposed mobile app prototype.

Conclusion

The study identified the mandatory features and the management steps needed from the stakeholder’s perspectives. The steps for integrating the current paper-based workflow with the suggested mobile app were identified. The expected benefits of the App may include improved and faster management, accuracy, better communication, and improvement in data quality. Moreover, the possible barriers might comprise of doubtful acceptability, device-related issues, and time and data-related challenges.

Peer Review reports

Background

ST elevated Myocardial Infarction (STEMI) is usually a life-threatening and time-sensitive critical emergency necessitating prompt management by reperfusion therapy and percutaneous coronary artery intervention (PCI) [1]. American College of Cardiology and American Heart Association (ACC/AHA) guidelines recommend a time interval of not more than 90 min for improved patient survival and outcomes, called door-to-balloon time (D2B) [2]. To state briefly, the incremental split would be ideal if STEMI diagnosis is made from the start of symptoms within 30 min (door to Electrocardiogram (ECG) time), the cardiac team mobilized with patients arrival at catheterization (cath) lab in the subsequent 30 min (ECG to cath lab time), and the blocked artery is opened in the last 30 min (cath lab arrival to device time) [3]. Studies have suggested shorter D2B time to be associated with improved survival outcomes, reduced one-year readmission rates and lower healthcare costs [4,5,6]. Extreme emphasis has been made to initiate immediate treatment following diagnosis as every minute delay damages the already hypoxic heart muscles [7].

In the US, progressive advancements in health care systems with a focus on adherence to the detailed clinical guidelines have reduced the D2B time form > 113 min in 2003 to 76 min in 2008 [8]. An earlier study from Saudi Arabia reported a mere 65 and 42% of male and female cardiac patients with myocardial infarction (MI) undergo treatment within D2B time respectively [9]. Although national statistics are not available, data from such sporadic studies suggests a delay in seeking medical attention. Diagnosis of MI depends on the patient’s symptoms upon presentation, raised levels of troponin and other biomarkers of myocardial necrosis, and typical ECG changes showing elevated ST-segment [10]. Prompt initiation of treatment within the door to ECG time and especially the ECG to Cath lab time results in shorter D2B time with marked improvement in prognosis [11, 12]. Door to ECG time depends on the patient utilization of Emergency Medical Services (EMS) and swift arrival at the hospital while hastening the ECG to cath lab time depends on large-scale and rapid coordination between various healthcare personnel including nurses, cath lab technologists, radiologists, emergency physicians and cardiac surgeons. Data from the Gulf registry have reported patient delays in using EMS services, thereby exerting enormous pressure on the healthcare team [13]. The success of the STEMI management depends on highly coordinated efforts on collecting and verifying the required data. The current protocol of STEMI activation necessitates multiple steps before the cardiology physician can respond to the code alert [14]. Incomplete or delayed tasks have shown to adversely affect the quality of healthcare in addition to the risks involved from paper-based checklists [15]. Although checklists have proven to enhance medical care and improve the quality of care [16], hand-written checklists are not always flawless, thereby compromising the management and prognosis. However, with the advent of the digitalization of checklists by electronic-based systems, it was possible to overcome the deficiencies mentioned above but with considerable inconvenience due to reliance on fixed desktops when the patients had to be mobilized for various other diagnostic tests [17]. Real-time performance feedback to the healthcare team during STEMI activation is associated with a shorter door-to-balloon time [18,19,20,21]. Besides, STEMI code activation can be done promptly, without having to progress through routine steps or being blocked by the physical boundaries of the hospital (e.g., the cardiology physician can respond and agree to activate the STEMI code even from outside the hospital).

Research studies have demonstrated the effectiveness of using mobile applications and instant messaging for faster and accurate inter-team communication facilitating emergency alert [22, 23].

For instance, the use of instant messaging smartphone applications like WhatsApp as a communication medium for transfer of health information between the healthcare care personnel has demonstrated efficiency in handling obstetrics and neonatal care services.

Similar applications have proven superior efficiency in attending emergency injury response. Eksert and his colleagues demonstrated encouraging results in managing acute injury, accident and combat cases by using such applications that have largely reduced workload and time loss resulting in better coordination of the emergency response team and improved quality of care.

Likewise, STEMI management team obligates dealing with acute emergency response demanding simultaneous and multi-coordinated efforts that can be simplified by customized apps for STEMI management. Recent studies showed that the use of mobile applications can support shared decision making, empower patients, and can increase patients’ satisfaction. Mobile applications can also save health care providers time and increase their work efficiency [24].

A mobile app could also capture information at the point of care, provide immediate feedback to all healthcare staff involved in STEMI management, and facilitate data retrieval for statistical purposes. Also, the mobile app might reduce the false-positive activation. However, there is a need to analyze the optimal approach to the solution by an in-depth assessment of step by step procedures.

With this background, the current study was conducted to qualitatively explore the opinions and suggestions of healthcare workers in the development of a mobile-based application for code activation in the management of patients with acute MI. The facilitating steps and time-related challenges in the initial activation and management of STEMI were also explored. To our knowledge, this is the first study from Saudi Arabia, to explore the use of mobile applications in STEMI management and the results would prove highly beneficial to the healthcare personnel, policymakers and decision-makers in evolving improved strategies for a better quality of care.

Methods

Study design and sampling

A qualitative design was adopted with the use of in-depth, semi-structured, open-ended, face to face interviews [25] incorporating a semi-structured guide. This method is the most suitable to be applied in order to explore suggestions and opinions from the stakeholders as well as to understand healthcare workers’ expectations. Qualitative methodology allows naturalistic inquiry to elicit humans’ feelings and thoughts [26]. A single researcher was responsible for data collection during the period 4th February to 19th March 2019. The stakeholders were identified by analyzing clinical practice guidelines and the current workflow applied at the selected Center through unstructured interviews with key informants (ER manager and the head of Catheterization Laboratory). These key informants also helped in developing the interview protocol and prototype designs. This process of building interview protocol aligned with what were suggested by [26, 27]. Purposive sampling technique with maximum variation sampling from all stakeholders who participated in the management of STEMI patients was applied to understand the issue from multiple perspectives. All interviews were confidential and coded during transcription to ensure anonymity.

Data collection

Interview is defined as “purposeful conversation” [25] and it is the well-known qualitative method to elicit information from informants [26, 27]. Interview method is a primary source of data and able to explore people’s feelings and thoughts [28]. Interviews can be done one to one or group interviews and can be conducted using face to face, email and online chat [28].

All interviews were conducted in English at the hospital site. Collection of data continued until saturation between different groups was reached. In this study, our sample size reached 22 participants, which suffices the stated minimum number of participants to be at least 15 people [29]. All interviews were audio-recorded after receiving the permission from the interviewees, and these recordings were later transcribed. The study objectives were clearly explained before the in-depth interviews.

Interview components

The interviewees were asked to describe the daily management of STEMI patients, followed by a discussion on facilitators and challenges in the treatment pathway, which led to the identification of areas that needed improvement. Then, the possibility of a future mobile app was explored, with a focus on management steps, and the process of integration between the current paper-based workflow and the proposed mobile app, the concerns and barriers related to the application of App in STEMI management. Stakeholders were requested to suggest strategies to overcome the expected barriers. Triangulation was achieved by exploring the current workflow, its pros and cons from multiple resources and multiple personnel involving the key informants and the stakeholders who have different perspectives and roles in STEMI management. Based on the identified needs through key informant’s interviews, the current practice of STEMI management and universal guidelines prototypes were designed. The prototypes encompassed multiple interfaces, including ER nurse, ER consultant, catheterization and time interfaces.

Analysis

The field notes of the interviewees’ responses were also documented. All the interviews were transcribed using Microsoft Word for analysis by the same person who conducted the interviews. Transcripts coding was done using ATLAS.ti 8 software, which helped in organizing codes and retrieving the relevant quotations. Codes were created for each sentence based on the objective, followed by the grouping of codes to form significant themes based on links between codes. Early coded transcripts were reviewed for consistency and the emerging themes were discussed later by the research team. The disagreement was resolved by discussion until consensus was reached. Two external clinicians reviewed the final themes and sub-themes. The inter-coder reliability was 87 and 80%, respectively.

Ethics approval

The study was approved by the Institutional Review Board of the College of Medicine, King Saud University with the following IRB No: E-17-2753. All participants provided their written consent before participation in the interview.

Results

Twenty-two interviews were performed with the stakeholders who participated in the STEMI management at the hospital (Table 1).

Table 1 Interviewee code and characteristics

The central themes and subthemes that emerged from the interviews were mostly regarding App benefits, barriers, and solutions to possible barriers, facilitating ideas, App features, steps in integration, App concerns and needed App management steps.

Challenges related to the current paper-based workflow

The study identified specific challenges in STEMI patient management at the hospital which can be grouped in the following themes in a nutshell; a) delayed diagnosis: due to atypical symptoms (grey zone) and awaiting cardiac specialist to review ECG. b) ECG is paper-based and not integrated with the hospital’s electronic medical record (EMR), forcing the physicians to communicate the ECG images on WhatsApp. c) Limited resources on weekends and after working hours cause a delay. Moreover, with a single ECG machine at the emergency department delays are not infrequent if there are more patients with complaints of chest pain. d) Patient-related delays in arrival time. e) Process related delays concerning the failure of digitalizing the current paper-based workflow is another challenge affecting data accuracy and retrieval.

Based on the identification of the challenges faced by the workforce in action, some suggestions that were provided include; a) provision of more ECGs with linkage facilities to EMR. b) Improving communication between the ER consultant and cardiology team, improving the code activation process through an automatic, unified call for on-call team members c) increasing patient awareness on the use of EMS systems.

Thoughts on the implementation of a new mobile application

App: facilitating ideas

The stakeholders were prompted to think about how to implement their ideas to facilitate the workflow through the use of the mobile app. Some of the interviewees suggested activating the code simultaneously to all relevant stakeholders through an exclusive App. It is illustrated in the following quote:

“In a mobile application, if a patient arrives and they are activating this mobile application, then it will be a better idea so that everybody can get the same signal at the same time.” (Cath 3).

The other suggestion made by six other respondents was concerning developing a sophisticated mobile app by linking to red-crescent to enable early pre-hospital activation. One interviewee suggested the following:

“Mobile application will help too much for pre-hospital to the hospital, and it will help in communication regarding the cases that we did not decide in emergency consultant activate or not to activate you need the availing of the interventional cardiologist and the primary contact in the mobile application.” (Physician 1).

Some interviewees suggested using a particular mobile app to send the ECG report, which enables prompt communication with the cardiology team. Other interviewees proposed to use an App to show a real-time for each management step as quoted below:

“I think more on like timings. Actually, we are using a stopwatch it is not really helpful at all because this stopwatch actually different timing, so we are still looking for a real-time this time, is the time for mobile. So we are going to make an App it is mostly for the timing it helps to lesson timings, I do not know.” (Cath1).

One ER consultant suggested creating an algorithm through the App to help identify high-risk patients, including the ability to analyze ECG, while another cardiac consultant suggested having a checklist involving major questions regarding STEMI cases. The actual comment is as follows:

“If there is a checklist of 10 things that we have to do in the Emergency Room (ER) maybe, it will take 1 minute or a couple of minutes this will help a lot I think to also exclude other serious diagnosis and will help also us to make the plan for STEMI.” (Cardiologist 1).

App management steps needed

Management steps needed from the STEMI mobile app are summarized in Table 2. The main features needed for each step are also presented in Fig. 1.

Table 2 Management steps needed from STEMI app
Fig. 1
figure1

Mandatory features within each management step

Features to be added to the app

Stakeholders suggested some features that might add value to the App, such as adding the time of arrival of each team member once the code is activated for accuracy. A code cancellation option was also suggested.

Another ER consultant suggested adding some criteria to analyze the ECG using the App itself and to include a toolbar and ruler for the ECG image. He also suggested adding the ability to retrieve old ECGs – if any existed – for comparison. The following quote illustrates this:

… is there any way to put like, I do not know, its very difficult but you have like ECG captured by the program, so let’s say this patient came like in the weekend, as some ECG changes resemble STEMI. And today, he came again. Is there any way to retrieve both ECG done like a week ago and this is today for comparison.” (Physician 2).

The use a different alarm tone, if the patient status was critical, was also suggested, as illustrated in the following quote:

“And if your patient is critical use different code alert as if the patient is in hypotensive shock.” (Cath 5).

Preferred code activation method

Stakeholders were asked about their preferences for code activation using the mobile app, and their responses show that 45% preferred direct call, 36% favored alarm, while 14% preferred both methods for information delivery. Those who preferred an alarm focused on the importance of receiving a report of the alert.

Steps of integration

Stakeholders suggested many steps to integrate the current paper-based workflow to the proposed mobile app. First, each user should be provided with credentials to use the App. The proposed App should be composed of several phases for each user group; ER, cardiology, and Cath Lab phases. All users should be trained to use the App and policies and procedures should be developed for that purpose. Time in the App, EMR, and ER computers should be matched to prevent any discrepancies. The paper-based protocol should be converted to an electronic version. Finally, a pilot study on a few numbers of patients should be applied before going live.

App possible benefits

Several stakeholders mentioned the management process benefits of using a STEMI app that would facilitate diagnosis and shorten door-to-balloon time. Two statements from the stakeholders illustrate these benefits:

… so easy to diagnose.” (Nurse 7).

… shorten the time to activation, door-to-balloon.” (Nurse 9).

… retrieval is better. This could help me, later on, to review the case if there is a teaching point, so yes, it is helpful, this is added value.” (Physician 3).

“Better documentation.” (Physician 1).

Communication was also reported a possible benefit, especially after working hours. One cath staff commented:

“Sometimes we are at home, so this is double calling, but if the application can show they received the activation and acknowledged the code then that can help, we do not need to call, we need to run.” (Cath 5).

Other stakeholder responses suggested that using this App will lead to accurate diagnosis and documentation and reduce the false activation rate. The following comment illustrates this:

“So, the entire process will be more accurate.” (Physician 3).

App barriers

Stakeholders identified many possible barriers related to the use of a STEMI management App. The primary barrier reported in this study were device-related issues, including range, technical errors, and the internet. The following statement captured this barrier:

… .technical errors, errors of the mobile application, and I think the internet.” (Cath 1).

The other barrier reported by some stakeholders was time-consuming. As explained by one of the emergency consultants:

“Our system gets complicated when EMR was introduced, so adding an App will impact the time negatively.” (Physician 4).

The acceptability of using this App, especially from old physicians, was also mentioned.

“Maybe some people will not be familiar with them [Apps] to start so it might take some time to be familiar with that, especially senior people, sometimes they take a longer time to use it.”

Another barrier retrieval of previously entered data, which stated as;

“Maybe we cannot revise the data like if we are getting the activation of STEMI through that mobile application, we will get an idea of the patient and the management part initially. But through that mobile system, maybe we will not revert back.” (Cath 3).

Feasibility also was reported as a barrier by one of the nurses:

“For the eyeball staff maybe it will be difficult comparing to the number of patients that we see.” (Nurse 1).

Only one physician reported his worry of missing query STEMI cases “grey zone” if they relied on the proposed App. This physician commented:

“Sometimes we have a grey zone in the ECG, so if you depend too much on that application for code activation, you might miss those many patients in the grey zone.”

Possible solutions to the app barriers

Table 3 offers suggestions made by the stakeholders to overcome the possible App barriers.

Table 3 Solutions to the App barriers

Uncertainty about the application

About 55% of the participants (12 out of 22) expressed their uncertainty toward App use in STEMI management, however, after showing the prototypes, they expressed their acceptance and were enthusiastic to see it in reality which was reflected in the following comment:

“I think the emergency physician is willing to use these new … let us say modalities or technologies to facilitate patient care.” (Physician 3).

Discussion

This qualitative study facilitated detailed accounts of stakeholders’ opinions and recorded the suggestions on the development of a mobile-based application in the management of STEMI patients. The present study identified the management steps necessary for the App to provide better quality care with reduced patient management time. The stakeholders opined that the steps be included separately in phases for each stakeholder’s specialty according to his or her role in STEMI management. More importantly, calculating the time required for each completed task and this management step is considered to be crucial to stakeholders since the data are used as key performance indicators (KPIs) that reflect the quality of the stakeholders performance.

The other key findings are enumerated below;

Mandatory features to be included in app

The stakeholders suggested certain specific characteristics that were deemed mandatory in the App which includes, patient demographics, a brief history of the patient, risk factors, and an ECG image. However, simplicity and minimal time consumption are the two priorities to be considered while designing the App. More information collected will lead to a more accurate diagnosis but may also increase the time taken for the code to be activated. Furthermore, the information should then be sent to the ER consultant, and a code activation feature granted to the ER consultant sounds a unified call or single alarm to on-call team members [30]. Likewise, an important feature frequently noted by stakeholders was the ability to receive a notification delivery report from each team member to confirm the receipt of code alarm in order to ensure that the entire team has received the message and alert emergency staff. Another important area that needs to be considered is the confirmation of the STEMI code receipt by the cardiologist, particularly for the query cases. Other desirable features include capturing the name and ID of each user, making any entry and calculating a timestamp for each step performed using the App. This protocol can ensure accurate documentation, save time, and make it possible to track who accessed the App or made an entry.

Steps of integration from paper-based model to digital type

A phased conversion was suggested in a simplified manner integrating EMR, ER and Cardiac team followed by training. The primary concept suggested by most of the participants was the ability to exchange information between the proposed App and EMR which is crucial in saving time. Galligioni and his team made similar suggestions to integrate m-health in oncology [31]. The mobile app linkage with EMR assists in the preview of all the relevant information related to the patient, however, the interviewees felt the lab tests difficult to document in the mobile App due to time constraints.

App benefits over paper-based workflow

Based on semi-structured interviews with 22 stakeholders, the study after viewing prototypes found that the benefits of the App outweighed the current paper-based workflow in the management of STEMI patients. The expected benefits included timing accuracy, better communication, improved and faster management, and improvements in data quality, which are in accordance with similar studies [32, 33] . These findings were not surprising because the current workflow is based on a paper-based protocol that can be easily lost or contain inaccuracies, and the current code activation depends on the consecutive calling of all team members, which is also time-consuming.

App barriers and challenges

Despite the benefits, many barriers were predicted while using the mobile app in such a domain. These barriers included acceptability, device-related issues, and time and data-related challenges, which is consistent with other research [34,35,36] . The majority of interviewees expressed concern about relying on a mobile device to activate the STEMI code because any error, delay, or hanging in response time might result in a significant delay.

To the best of our knowledge, this study is the first in Saudi Arabia to investigate stakeholders’ preferences for a mobile app for the management of STEMI patients. This study provided an overview of stakeholders’ expectations and indicated areas for improvement and considerations that need to be taken into account for the design of such an App. Owing to its novelty, it is hard to compare the present study with similar literature from regional or global context. However, a small number of studies have demonstrated the effectiveness of integrating mobile applications in healthcare delivery. Apps like Diagnosaurus, LabPro values, Archimedes, MedCalc, AHRQ ePSS are some of the common apps effectively used by healthcare professionals for.

patient management and monitoring [37]. Other studies have tested Apps like Siilo and WhatsApp for effectiveness in instant communication and consulting during patient management demonstrating faster and efficient mode of contact for the caregivers [38, 39]. Furthermore, clinical monitoring Apps, intensive care units Apps, decision-making Apps in radiology units have together revolutionized digital healthcare facilitating quicker communication and improved patient management [40,41,42]. The functionalities of the proposed naive STEMI App follow an integration of the aforementioned components. The consolidated App may encompass features of communication exchanges and high alert signaling, in addition to patient management and monitoring.

Study limitations

The study contains some limitations. First, this study used prototypes and did not refer stakeholders to an actual App. Therefore, the results might reflect on the personal preferences and expectations, and there may be a disparity with the actual trial. Second, a convenience sample of stakeholders who manage STEMI patients was used. Significant variations in the study interviewees were followed. However, reliability was attained by data triangulation because the data were collected from different resources and stakeholder perspectives. Study themes and subthemes were validated by two external clinicians with experience in the field of cardiology.

The stakeholders’ responses and needs reported in this study were influenced by the current workflow and resources at the hospital. Therefore, the findings cannot be generalized to other settings.

Research implications

The research implications point towards novel use of the innovative technologies in healthcare and emergency medical services to augment better patient management and improve patient outcomes. Management of STEM-I specifically requires high precision coordinated efforts by multidisciplinary team in shortest possible time to improve patient survival and reduce associated morbidity and mortality. The study findings may guide App developers and entrepreneurs in developing the novel App mandatory features with STEMI management steps included in it. Given that time-management is a significant factor in STEMI treatment, these findings may prove pivotal for cardiologists, ER physicians, nurses, and cath. Lab staff who may integrate STEMI App into their management plan. The use of the mobile application thus not only quickens the EMS utilization, in addition, it also enables each other to know the status of teamwork and feasibility in communications exchange and retrieval of information. Adoption of the App by policymakers may reduce the valuable time to cover the prehospital STEMI patients’ management thereby advancing other phases of management with a high probability of saving patient’s life.

Conclusion

The main findings point towards the identification of mandatory features and the management steps needed as principal suggestions of the stakeholders for the proposed mobile application. The steps leading to integration between the current paper-based workflow and the suggested mobile app were also identified. The possible benefits of using such an App may include accuracy, better communication, improved and faster management, and improvement in data quality. And the possible barriers suggested were questionable acceptability, device-related issues, time and data-related challenges.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ACC / AHA :

American College of Cardiology / American Heart Association

App :

Application

ECG :

Electrocardiogram

EMR :

Electronic Medical Record

ER :

Emergency Room

EMS :

Emergency Medical Services

IRB :

Institutional Review Board

KPI:

Key Performance Indicator

MRN :

Medical Registration Number

MI :

Myocardial Infarction

PCI :

Percutaneous coronary artery intervention

STEMI :

ST-elevated myocardial infarction

References

  1. 1.

    Smith JN, Negrelli JM, Manek MB, Hawes EM, Viera AJ. Diagnosis and management of acute coronary syndrome: an evidence-based update. J Am Board Fam Med. 2015;28(2):283–93.

    Article  Google Scholar 

  2. 2.

    Antman EM, Anbe DT, Armstrong PW, et al. ACC/AHA guidelines for the Management of Patients with ST-elevation myocardial infarction. J Am Coll Cardiol. 2004;44:671–719.

    Article  Google Scholar 

  3. 3.

    Bradley EH, Herrin J, Wang Y, et al. Door-to-drug and door-to-balloon times: where can we improve? Time to reperfusion therapy in patients with ST-segment elevation myocardial infarction (STEMI). Am Heart J. 2006;151:1281–7.

    Article  Google Scholar 

  4. 4.

    Fan CM, Lai CL, Li AH, Chung KP, Yang MC. Shorter door-to-balloon time in ST-elevation myocardial infarction saves insurance payments: a single hospital experience in Taiwan. Acta Cardiologica Sinica. 2015;31(2):127–35. https://doi.org/10.6515/acs20140630f.

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    McNamara RL, Wang Y, Herrin J, et al. Effect of door-to-balloon time on mortality in patients with ST-segment elevation myocardial infarction. J Am Coll Cardiol. 2006;47:2180–6.

    Article  Google Scholar 

  6. 6.

    Cannon CP, Gibson CM, Lambrew CT, Shoultz DA, Levy D, French WJ, et al. Relationship of symptom-onset-to-balloon time and door-to-balloon time with mortality in patients undergoing angioplasty for acute myocardial infarction. JAMA. 2000;283(22):2941–7. https://doi.org/10.1001/jama.283.22.2941.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Hudson MP, Granger CB, O’Neill WW, Stebbins AL, Widimsky P, Aylward P, et al. Faster times to primary percutaneous coronary intervention are associated with better survival: insights from the APEX-AMI trial. J Am Coll Cardiol. 2007;49:42–3B.

    Article  Google Scholar 

  8. 8.

    Flynn A, Moscucci M, Share D, Smith D, LaLonde T, Changezi H, et al. Trends in door-to-balloon time and mortality in patients with ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention. Arch Intern Med. 2010;170(20):1842–9. https://doi.org/10.1001/archinternmed.2010.381.

    Article  PubMed  Google Scholar 

  9. 9.

    Alhabib KF, Kinsara AJ, Alghamdi S, Al-Murayeh M, Hussein GA, AlSaif S, et al. The first survey of the Saudi acute myocardial infarction registry program: Main results and long-term outcomes (STARS-1 program). PLoS One. 2019;14(5):e0216551. https://doi.org/10.1371/journal.pone.0216551 Accessed 12 Jan 2020.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Myocardial infarction redefined—A consensus document of The Joint European Society of Cardiology/American College of Cardiology Committee for the Redefinition of Myocardial Infarction. Eur Heart J. 2000;21(18):1502–13.

  11. 11.

    Shiomi H, Nakagawa Y, Morimoto T, Furukawa Y, Nakano A, Shirai S, et al. CREDO-Kyoto AMI investigators. Association of onset to balloon and door to balloon time with long term clinical outcome in patients with ST-elevation acute myocardial infarction having primary percutaneous coronary intervention: an observational study. BMJ. 2012;23:344.

    Google Scholar 

  12. 12.

    Brodie BR, Gersh BJ, Stuckey T, Witzenbichler B, Guagliumi G, Peruga JZ, et al. When is door-to-balloon time critical? Analysis from the HORIZONS-AMI (Harmonizing outcomes with revascularization and stents in acute myocardial infarction) and CADILLAC (Controlled abciximab and device investigation to lower late angioplasty complications) trials. J Am Coll Cardiol. 2010;56(5):407–13. https://doi.org/10.1016/j.jacc.2010.04.020.

  13. 13.

    AlHabib KF, Sulaiman K, Al Suwaidi J, Almahmeed W, Alsheikh-Ali AA, Amin H, et al. Patient and system-related delays of emergency medical services use in acute ST-elevation myocardial infarction: results from the third gulf registry of acute coronary events (gulf RACE-3Ps). PLoS One. 2016;11(1):e0147385 Accessed 2 Feb 2020.

    Article  Google Scholar 

  14. 14.

    Strom JA, Sand IC, Box LC. Optimizing care for ST-elevation myocardial infarction patients: application of systems engineering. J Geriatr Cardiol. 2016;13(11):883–7.

    PubMed  PubMed Central  Google Scholar 

  15. 15.

    Wang N, Yu P, Hailey D. Description and comparison of quality of electronic versus paper-based resident admission forms in Australian aged care facilities. Int J Med Inform. 2013;82(5):313–24.

    Article  Google Scholar 

  16. 16.

    World Health Organization. Patient safety—The checklist effect. Available at www.who.int/patientsafety/implementation/checklists/background/en/index.html. Accessed 22 Jan 2020.

  17. 17.

    Blike G, Biddle C. Preanesthesia detection of equipment faults by anesthesia providers at an academic hospital: comparison of standard practice and a new electronic checklist. AANA J. 2000;68:497–505.

    CAS  PubMed  Google Scholar 

  18. 18.

    Lin JF, Hsu SY, Wu S, Liau CS, Chang HC, Liu CJ, et al. Data feedback reduces door-to-balloon time in patients with ST-elevation myocardial infarction undergoing primary percutaneous coronary intervention. Heart Vessel. 2011;26(1):25–30.

    Article  Google Scholar 

  19. 19.

    Correia LC, Brito M, Kalil F, Sabino M, Garcia G, Ferreira F, et al. Effectiveness of a myocardial infarction protocol in reducing door-to-ballon time. Arq Bras Cardiol. 2013;101(1):26–34.

    PubMed  PubMed Central  Google Scholar 

  20. 20.

    Hermans MP, Velders MA, Smeekes M, Drexhage OS, Hautvast RW, Ytsma T, et al. Call-to-balloon time dashboard in patients with ST-segment elevation myocardial infarction results in significant improvement in the logistic chain. Euro Intervention. 2017;13(5):e564–e57 Accessed 20 Dec 2019.

    PubMed  Google Scholar 

  21. 21.

    O'Gara PT, Kushner FG, Ascheim DD, Casey DE, Chung MK, De Lemos JA, et al. 2013 ACCF/AHA guideline for the management of ST-elevation myocardial infarction: executive summary: a report of the American College of Cardiology Foundation/American Heart Association task force on practice guidelines. J Am Coll Cardiol. 2013;61(4):485–510.

    Article  Google Scholar 

  22. 22.

    Eksert S, Asik MB, Akay S, Keklikçi K, Aydin FN, Çoban M, et al. Efficiency of instant messaging applications in the coordination of emergency calls for combat injuries: a pilot study. Ulus Travma Acil Cerrahi Derg. 2017;23(3):207–11 Accessed 3 Dec 2019.

    PubMed  Google Scholar 

  23. 23.

    Lin JH, Hsu MH, Huang CC, Liu CF, Tan C-K, Chou SL. Developing a mobile electronic D2B checklist for treatment of ST elevation myocardial infarction patients who need a primary coronary intervention. Telemed J E Health. 2015:274–80. https://doi.org/10.1089/tmj.2014.0070 Accessed 20 Dec 2019.

  24. 24.

    Abbasgholizadeh Rahimi S, Menear M, Robitaille H, Légaré F. Are mobile health applications useful for supporting shared decision making in diagnostic and treatment decisions? Global Health Action. 2017;10(sup3):1332259.

    Article  Google Scholar 

  25. 25.

    Kvale S. Interviews: an introduction to qualitative research interviewing. Thousand Oaks: Sage Publications; 1996.

    Google Scholar 

  26. 26.

    Creswell JW. Qualitative inquiry and research design: choosing among five traditions. 1st ed: Sage Publications; 1998.

  27. 27.

    Lincoln YS, Guba EG. Naturalistic inquiry. Beverly Hills: Sage; 1985.

    Google Scholar 

  28. 28.

    Salkind N. Exploring research. 7th ed: Pearson International Edition; 2009.

  29. 29.

    Mason M. Sample size and saturation in PhD studies using qualitative interviews. Forum qualitative Sozialforschung/Forum: qualitative social research. 2010;11(3).

  30. 30.

    Coyne CJ, Testa N, Desai S, Lagrone J, Chang R, Zheng L, et al. Improving door-to-balloon time by decreasing door-to-ECG time for walk-in STEMI patients. West J Emerg Med. 2015;16(1):184–9.

    Article  Google Scholar 

  31. 31.

    Galligioni E, Piras EM, Galvagni M, Eccher C, Caramatti S, Zanolli D, et al. Integrating mHealth in oncology: experience in the province of Trento. J Med Internet Res. 2015;17(5):e114.

    Article  Google Scholar 

  32. 32.

    Chauhan V, Negi PC, Raina S, Raina S, Bhatnagar M, Guleri R, et al. Smartphone-based tele-electrocardiography support for primary care physicians reduces the pain-to-treatment time in acute coronary syndrome. J Telemed Telecare. 2018;24(8):540–6.

    Article  Google Scholar 

  33. 33.

    Stahl I, Dreyfuss D, Ofir D, Merom L, Raichel M, Hous N, et al. Reliability of smartphone-based teleradiology for evaluating thoracolumbar spine fractures. Spine J. 2017;17(2):161–7.

    Article  Google Scholar 

  34. 34.

    Payne KFB, Weeks L, Dunning P. A mixed- methods pilot study to investigate the impact of a hospital-specific iPhone application (iTreat) within a British junior doctor cohort. Health Informatics J. 2014;20(1):59–73.

    Article  Google Scholar 

  35. 35.

    Green BL, Kennedy I, Hassanzadeh H, Sharma S, Frith G, Darling JC. A semi-quantitative and thematic analysis of medical student attitudes towards M-L earning. J Eval Clin Pract. 2015;21(5):925–30.

    Article  Google Scholar 

  36. 36.

    Baig MM, Gholam Hosseini H, Connolly MJ. Mobile healthcare applications: system design review, critical issues and challenges. Australas Phys Eng Sci Med. 2015;38(1):23–38.

    Article  Google Scholar 

  37. 37.

    Ventola CL. Mobile devices and apps for health care professionals: uses and benefits. P T. 2014;39(5):356–64.

    PubMed  PubMed Central  Google Scholar 

  38. 38.

    Ezra O, Toren A, Tadmor O, et al. Secure Instant Messaging Application in Prenatal Care. J Med Syst. 2020;44:73.

    Article  Google Scholar 

  39. 39.

    Gulacti U, Lok U, Hatipoglu S, Polat H. An analysis of WhatsApp usage for communication between consulting and emergency physicians. J Med Syst. 2016;40(6):130.

    Article  Google Scholar 

  40. 40.

    Nikolic A, Wickramasinghe N, Claydon-Platt D, Balakrishnan V, Smart P. The use of communication apps by medical staff in the Australian health care system: survey study on prevalence and use. JMIR Med Inform. 2018;6(1):e9.

    Article  Google Scholar 

  41. 41.

    Carmona S, Alayed N, Al-Ibrahim A, D’Souza R. Realizing the potential of real-time clinical collaboration in maternal–fetal and obstetric medicine through WhatsApp. Obstetric Med. 2018;11(2):83–9.

    Article  Google Scholar 

  42. 42.

    Eksert S, Aşık MB, Akay S, et al. Efficiency of instant messaging applications in coordination of emergency calls for combat injuries: a pilot study. Ulus Travma Acil Cerrahi Derg. 2017;23(3):207–11.

    PubMed  Google Scholar 

Download references

Acknowledgments

The authors thank all physicians and staff who took part in this study. The authors are grateful to the Deanship of Scientific Research, King Saud University for funding through Vice Deanship of Scientific Research Chairs.

Funding

This work is supported by vice deanship of scientific research chairs, Deanship of Scientific Research, King Saud University.

Author information

Affiliations

Authors

Contributions

All listed authors have made substantial contributions to the manuscript and have approved the final submitted version of the manuscript. NA played a role in conceptualization, data collection, analysis and drafted the initial manuscript. AJ and NZ conceptualized the design and supervised the study. MH provided his valuable guidance in the study methodology and reviewed the manuscript. ST wrote the complete manuscript. OA and MQ assisted in the conduct of the study.

Corresponding author

Correspondence to Amr Jamal.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Institutional Review Board, College of Medicine, King Saud University with the reference number IRB # E-17-2753.

All participants provided their written consent before participating in the interview.

Consent for publication

Not applicable.

Competing interests

The authors declare that there is no competing interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Alkamel, N., Jamal, A., Alnobani, O. et al. Understanding the stakeholders’ preferences on a mobile application to reduce door to balloon time in the management of ST-elevated myocardial infarction patients – a qualitative study. BMC Med Inform Decis Mak 20, 205 (2020). https://doi.org/10.1186/s12911-020-01219-6

Download citation

Keywords

  • ST elevation myocardial infarction
  • Chest pain
  • Patient management
  • Mobile applications
  • Software
  • Cell phone
  • Qualitative research