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Factors influencing the intentions of nurses and respiratory therapists to use automated external defibrillators during in-hospital cardiac arrest: a qualitative interview study

Published online by Cambridge University Press:  08 December 2016

Jessica Andrews
Affiliation:
Department of Surgery, Queen’s University, Kingston, ON
Christian Vaillancourt*
Affiliation:
Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Department of Emergency Medicine, University of Ottawa, Ottawa, ON
Jan Jensen
Affiliation:
Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Division of Emergency Medical Services, Dalhousie University Emergency Health Services, Halifax, NS.
Ann Kasaboski
Affiliation:
Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON
Manya Charette
Affiliation:
Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON
Catherine M. Clement
Affiliation:
Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON
Jamie C. Brehaut
Affiliation:
Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, ON
Martin H. Osmond
Affiliation:
Department of Pediatrics, University of Ottawa, Ottawa, ON
George A. Wells
Affiliation:
Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Department of Medicine, University of Ottawa, Ottawa, ON
Ian G. Stiell
Affiliation:
Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Department of Emergency Medicine, University of Ottawa, Ottawa, ON
Jeremy Grimshaw
Affiliation:
Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON Department of Medicine, University of Ottawa, Ottawa, ON
*
Correspondence to: Dr. Christian Vaillancourt, Ottawa Hospital, Civic Campus Clinical Epidemiology Unit, F649, 105–3 Carling Ave., Ottawa, ON K1Y 4E9; Email: [email protected]

Abstract

Objectives

Nurses and respiratory therapists are seldom allowed to use automated external defibrillators (AED) during in-hospital cardiac arrest. This can result in significant time delays before defibrillation occurs and lower survival for cardiac arrest victims. We sought to identify barriers and facilitators to AED use by nurses and respiratory therapists.

Methods

We conducted semi-structured qualitative interviews with a purposeful sample of nurses and respiratory therapists. We developed the interview guide based on the constructs of the theory of planned behaviour, which elicits salient attitudes, social influences, and control beliefs potentially influencing the intent to use an AED. Interviews were recorded, transcribed verbatim, and analysed until achieving data saturation. Two independent reviewers performed inductive analyses to identify emerging categories and themes, and ranked them by frequency of the number of participants stating the topic.

Results

Demographics for the 24 interviewees include mean age 40.5, 79.2% female, 87.5% performed cardiopulmonary resuscitation (CPR), 29.2% defibrillated a patient. Identified attitudes pertained to the timeliness of defibrillation, patient survival, simplicity of AED use, accuracy of rhythm recognition, and harm to self or others. Social influences consisted of physician and hospital administration support of AED use. Control beliefs included training on AED use, policy allowing AED use, familiarity with AED, and task burden during resuscitation.

Conclusions

Most nurses and respiratory therapists intended to use an AED if permitted to do so by a medical directive. Successful implementation would require educational initiatives focusing on safety and efficacy of AEDs, support from physicians and hospital administrators, and additional training on AED use.

Résumé

Objectifs

Les infirmières et les inhalothérapeutes sont rarement autorisés à utiliser les défibrillateurs externes automatiques (DEA) dans les cas d’arrêt cardiaque survenus en milieu hospitalier. Toutefois, cette lacune peut entraîner des délais importants avant la défibrillation et une diminution du taux de survie chez les malades concernés. Aussi les auteurs de l’étude ont-ils cherché à cerner les obstacles à l’utilisation du DEA par les infirmières et les inhalothérapeutes, de même que les facteurs favorisants.

Méthode

Des entrevues qualitatives, semi-structurées ont été menées sur un échantillon d’infirmières et d’inhalothérapeutes choisi à dessein. Le guide des entrevues a été élaboré sur les principes de la théorie du comportement planifié, laquelle tient compte des attitudes de base, des influences sociales et des croyances relatives au contrôle, toutes susceptibles d’influer sur l’intention d’utiliser le DEA. Les entrevues ont été enregistrées, transcrites mot pour mot, puis analysées jusqu’à saturation des données. Deux examinateurs indépendants ont procédé à une analyse inductive afin de cerner les catégories et les thèmes qui se détachaient de l’ensemble, puis les ont classés selon la fréquence des énoncés exprimés par les participants.

Résultats

Suivent quelques données démographiques sur les 24 sujets interrogés; l’âge moyen était de 40,5 ans; il y avait 79,2 % de femmes; 87,5 % des sujets avaient déjà effectué des manœuvres de réanimation cardiorespiratoire (RCR) et 29,2 % des participants avaient déjà procédé à une défibrillation. Les attitudes relevées avaient principalement trait à la rapidité d’exécution de la défibrillation, à la survie des patients, à la simplicité d’utilisation du DEA, à la justesse de la reconnaissance du rythme cardiaque et au risque de préjudice à soi-même ou aux autres. Les influences sociales consistaient en l’appui des médecins et des administrateurs d’hôpitaux relativement à l’utilisation du DEA. Enfin, les croyances relatives au contrôle comprenaient la formation sur l’utilisation du DEA, les politiques concernant l’autorisation d’utilisation du DEA, une bonne connaissance du DEA et le fardeau des tâches durant les manœuvres de réanimation.

Conclusions

La plupart des infirmières et des inhalothérapeutes se montrés favorables à l’utilisation du DEA si une directive médicale existait à cet effet. La réussite de la mise en œuvre de ce type d’intervention nécessiterait des initiatives en matière d’éducation sur la sécurité d’emploi et l’efficacité du DEA, l’appui des médecins et des administrateurs d’hôpitaux ainsi que des séances supplémentaires de formation sur l’utilisation du DEA.

Type
Original Research
Copyright
Copyright © Canadian Association of Emergency Physicians 2016 

INTRODUCTION

In-hospital cardiac arrest is a common event, and overall survival to hospital discharge rarely exceeds 22%.Reference Mozaffarian, Benjamin and Go 1 , Reference Peberdy, Kaye and Ornato 2 A number of in-hospital cardiac arrest patients (18%) have an abnormal electrical heart rhythm that could be fixed with an electrical shock or defibrillation.Reference Chan, Krumholz and Spertus 3 Cardiac arrest victims are most likely to survive when they are defibrillated within 3 to 5 minutes.Reference Kleinman, Brennan and Goldberger 4 Defibrillation is usually provided by a resuscitation team responsible for providing such care in the whole hospital.Reference Sandroni, Ferro and Santangelo 5 Unfortunately, our own data suggest this team cannot always arrive at the patient’s bedside quickly, leading to an average delay of 9 minutes before defibrillation occurs.Reference Chehadi, Vaillancourt and Gatta 6 Nurses and respiratory therapists are often the first ones at the patient’s bedside. They are trained in cardiopulmonary resuscitation (CPR) and can use automated external defibrillators (AED) during out-of-hospital cardiac arrests,Reference Murphy and Fitzsimons 7 - Reference Makinen, Aune and Niemi-Murola 10 but are most commonly not allowed to use an AED during in-hospital cardiac arrests. This is true for nurses because AED use is considered a regulated health professional act in most jurisdictions, 11 , 12 and for respiratory therapists as a common institutional policy. There are limited reports on the attempted use of AEDs by nurses during in-hospital cardiac arrests.Reference Destro, Marzaloni and Sermasi 13 - Reference Hanefeld, Lichte and Mentges-Schroter 15 We need to better understand what would motivate nurses and respiratory therapists to use AEDs if we are to successfully implement such a program.Reference De Regge, Monsieurs and Vandewoude 16 , Reference Kenward, Castle and Hodgetts 17

Theoretical framework

The theory of planned behaviour (TPB) is a conceptual framework very commonly used in health care studies exploring the factors that influence and predict an individual’s intention to engage in a behaviour (e.g., using an AED).Reference Ajzen 18 The likelihood of engaging in a behaviour is determined by the strength of the individual’s intentions to carry out the behaviour and their perceived behavioural control over carrying out the action.Reference Ajzen 18 - Reference Bunce and Birdi 21 Intention is determined by measuring the following three predictive variables: attitudes/behavioural beliefs (whether the individual is in favour of doing something), subjective normative beliefs (social pressures), and control beliefs (whether the individual feels in control of engaging in a behaviour). Measuring an individual’s intention to engage in a particular behaviour has been shown to correlate well with actually performing the behaviour.Reference Ajzen 18 Those theoretically derived determinants of behaviour can later be mapped to specific behavioural change techniques.Reference Michie, Johnston and Francis 22 This framework was successful in nursing clinical trials on promoting healthy living,Reference Kelley and Abraham 23 administering opioids for pain relief,Reference Edwards, Nash and Najman 24 and performing venipunctures according to universal precautions.Reference Godin 25

The purpose of this qualitative study is to identify determinants of behaviour perceived to influence the intention of nurses and respiratory therapists to use an AED during in-hospital cardiac arrest before the arrival of the resuscitation team.

METHODS

Study design

We conducted semi-structured qualitative interviews based on the constructs of TPB (Figure 1),Reference Ajzen 18 - Reference Bunce and Birdi 21 and developed our interview guide as described by Francis et al.Reference Francis, Eccles and Johnston 26

Figure 1 The theory of planned behaviour.

Setting

This study was conducted at the Ottawa Hospital – Civic, General, and Riverside campuses. The Civic and General campuses respectively have 456 and 533 inpatient beds, as well as outpatient clinics and day units. The Riverside campus has no inpatient beds, is composed solely of outpatient clinics and day units, and does not have access to a resuscitation team. There is a medical directive in place at the Ottawa Hospital allowing critical care and emergency nurses to use manual defibrillators, and nurses working in locations not accessible to the resuscitation team to use AEDs.

Study population

We used a purposeful sampling strategy to ensure participation of nurses and respiratory therapists from various departments, with varying levels of experience, and different medical directives in place regarding defibrillation. We approached clinical managers from hospital units of interest to help identify individuals who were interested in participating in the interviews. We recruited nurses from the following units: medicine, surgery, geriatrics, neurology, emergency medicine, intensive care, rehabilitation centre, and outpatient clinics. We recruited respiratory therapists from the following units: operating room, emergency medicine, intensive care, neonatology, and those rotating through various medical/surgical wards. Our institution requires that all nurses and respiratory therapists update their CPR + defibrillation certification yearly. We conducted this study after receiving research ethics approval from the Ottawa Health Science Network Research Ethics Board. Nurses and respiratory therapists voluntarily participated in this study and gave written informed consent. Interviews were conducted outside of working hours, and participants were compensated $50 CDN for their time.

Methods of measurement

All interviews were conducted in person (except for one interview conducted by telephone). They were conducted by a single interviewer (JA) using a semi-structured open-ended interview guide based on the TPB standard practices.Reference Francis, Eccles and Johnston 26 Examples of questions asked for each TPB construct are presented in Figure 2. With the participant’s consent, interviews were recorded and then transcribed verbatim. Transcripts were verified by the interviewer prior to analysis. We recruited and interviewed new participants until data saturation was achieved (meaning until we obtained no new information during the interview process).Reference Francis, Johnston and Robertson 27

Figure 2 Examples of interview questions.

Main data analysis

Two independent researchers (JA and JLJ) performed inductive analyses of the transcripts to identify common themes or codes. The codes were categorized according to the constructs of the TPB and were counted. A given code could be mentioned several times in an interview but would be counted once only. Additionally, a code was counted as present in an interview if either investigator identified it in the transcript. As soon as all of the transcripts were coded, the codes were examined for common meanings and combined by way of consensus. We listed the codes for each TPB construct in order of frequency and, as suggested by Francis et al.,Reference Francis, Eccles and Johnston 26 retained those representing more than 75% of all codes counted. For example, if a common code appeared 50 times, a second code 20 times, a third code 5 times, and 25 other codes each appeared once only, we would have retained the three first codes representing 75% of all codes counted. In addition to these descriptive statistics, we present a narrative interpretation of the data with verbatim illustrative quotes from the participants.

RESULTS

We completed 24 interviews between June and July 2009. The mean age of the participants was 41 years; most of them were female, registered nurses, and full-time employees with 16 years of experience on average (Table 1). All participants stated that they had been involved in cardiac arrest resuscitation; while most provided CPR to a patient in cardiac arrest, only a few were allowed to use a defibrillator.

Table 1 Characteristics of the 24 interview participants

AED=automated external defibrillation; CCU=coronary care unit; CPR=cardiopulmonary resuscitation; ICU=intensive care unit; RN=registered nurse; RPN=registered practical nurse;

RT=respiratory therapist; SD=standard deviation.

We reached data saturation by the 24th interview, with minimal new information gathered in the last 4 interviews. This resulted in a total of 20 behavioural beliefs, 17 subjective norms, and 22 control beliefs (Tables 2-4). The codes were listed in order of frequency within each TPB construct, and only the codes representing more than 75% of all codes identified per construct were retained.Reference Francis, Eccles and Johnston 26 After this exercise, eight behavioural beliefs, nine subjective norms, and eight control beliefs remained. Tables 2, 3, and 4 contain a number of verbatim quotes from study participants. We present narrative descriptions of the codes/beliefs in the following paragraphs.

Table 2 Behavioural beliefs

* >75% of all codes reached.

Table 3 Subjective norms

* >75% of all codes reached.

Table 4 Control beliefs

* >75% of all codes reached.

Behavioural beliefs

  • 1. Using an AED may affect time to defibrillation.

    Almost all participants acknowledged that time is important when it comes to defibrillation, and 16 participants thought that having nurses and respiratory therapists use AEDs would decrease the time to first shock. In contrast, five participants were unsure as to whether being able to use the AED would decrease the time to first shock because they felt the resuscitation team arrives very quickly. One individual believed that being able to use the AED would not decrease the time to first shock because the patient arrives with the resuscitation team.

  • 2. Using an AED may affect patient survival.

    Most participants believed that a patient would be more likely to survive if he or she could use an AED, and that survival was often associated with a shorter time to shock delivery. One respiratory therapist felt that patient survival could decrease if an AED were used because it would require changing their focus away from airway management.

  • 3. An AED is a simple machine and is used in the community.

    A large proportion of participants felt that AEDs are simple machines to use and that a variety of non-medical professionals are currently using them safely.

  • 4. An AED can/cannot accurately recognize heart rhythm.

    Participants had diverging opinions about whether AEDs accurately recognize cardiac rhythms. Ten individuals were confident that AEDs could correctly identify cardiac rhythm, whereas six others had doubts. In addition, four individuals mentioned wanting to be able to see the rhythm themselves (which is not shown by AEDs) to determine whether a shock was necessary.

  • 5. Using an AED may cause more/less harm to the patient, myself, or others.

    Participants also expressed diverging opinions regarding harm to the patient, themselves, or others when using the AED. Six individuals felt that using an AED could result in less harm done to patients by possibly avoiding the need for CPR and resulting broken ribs. Many understood that using an AED would not harm the patient, themselves, or their coworkers because they are aware of the proper procedure when defibrillating; 13 participants were unsure or concerned that the patient could be harmed by inappropriately receiving a shock, or that they or their coworkers could be harmed by receiving a shock.

  • 6. Using an AED may affect the stress experienced during a resuscitation.

    More than half of the participants expressed opinions regarding the stress that would be involved when using the AED. Three participants felt that using the AED could either increase or decrease the stress that they felt, depending on the situation, two participants felt that they would experience less stress, and nine participants felt that they would experience more stress during the cardiac arrest if they had to use an AED.

  • 7. First responder defibrillation is important.

    More than half of the participants believed that the first responder to a cardiac arrest event should be allowed to use the AED. They expressed that first responder defibrillation is an important part of the initial resuscitation attempt prior to resuscitation team arrival.

  • 8. Using the AED is the best thing for the patient.

    Eleven participants expressed that using an AED is the best treatment for the patient. Participants acknowledged the role of CPR and medications in the resuscitation effort but felt that using an AED would be the best management option.

Subjective norms

According to interviewees, subjective norms had little influence on the decision to use an AED compared to behavioural and control beliefs.

  • 1. Individual group peer-pressure

    Of the nine subjective norms most commonly identified by the participants, eight represented individuals or groups that would have some influence on the participant’s intention to use the AED. They are in order of decreasing frequency: physicians, hospital administration, other health care professionals, colleagues, College of Nurses of Ontario/College of Respiratory Therapists of Ontario, patients, the public, and managers. For example, the approval/expectation of physicians responding to a cardiac arrest was perceived to be of some importance.

  • 2. Collective peer-pressure

    One subjective norm, identified by 11 of the participants, was not a specific individual or group but rather was described as the culture or common acceptance within the hospital supporting AED use.

Control beliefs

  • 1. Training on AED

    All interviewees expressed the opinion that having the appropriate training is a facilitator to using AEDs. Only three individuals felt that their current training was sufficient for them to use an AED; among these three, two were allowed to use an AED in the hospital setting. Nine individuals mentioned having received training to use an AED but felt they would benefit from additional or more frequent training.

  • 2. Policy allowing AED use

    The vast majority of participants stated that a hospital policy outlining the use of AEDs by nurses and respiratory therapists would facilitate their using an AED. Eight individuals felt that it would be necessary to have the support and/or approval of their regulatory college before they could use an AED during in-hospital cardiac arrests. Some participants were concerned that legal actions could result from their use of an AED, unless a hospital policy was in place.

  • 3. Familiarity with AED

    Most participants expressed the importance of being familiar with the AED prior to using it. Familiarity with the AED could be achieved by being responsible for its regular maintenance and scheduled verification of proper function.

  • 4. Role in cardiac arrest resuscitation

    Numerous participants mentioned that defibrillation is the role of physicians, the resuscitation team, or advanced cardiac life support (ACLS) certified health care providers. Participants were concerned that using an AED to defibrillate a patient would mean making decisions that physicians normally make. Of note, 16 of 17 individuals who were not allowed to use an AED/defibrillator expressed this opinion, whereas only 3 of 7 individuals currently allowed to use an AED/defibrillator shared this opinion.

  • 5. Machine availability and proximity

    A large proportion of participants stated that, for AEDs to be useful, they should be distributed throughout the hospital in such a way to assure their proximity and rapid access.

  • 6. Experience with cardiac arrest resuscitation

    Over two thirds of participants stressed the importance of having experience dealing with cardiac arrest situations as a facilitator to using an AED. It was perceived that lack of exposure to cardiac arrest situations would hinder AED use.

  • 7. Other tasks to do during resuscitation

    More than half of the participants were concerned with having other tasks that they were responsible for during cardiac arrest resuscitation, and that using an AED represented another task added on to an already overtaxed health care provider. Notably, all of the respiratory therapists we interviewed mentioned being already too preoccupied with managing the patient’s airway.

  • 8. Trust the AED to work or not

    Half of the participants expressed an opinion regarding the proper functioning of an AED. Five mentioned that they would trust the AED to work properly; four were not convinced that they reliably would, and three participants were concerned about malfunction.

DISCUSSION

This qualitative study used the constructs of the TPB to identify the factors influencing the intention of nurses and respiratory therapists to use an AED during in-hospital cardiac arrests. Overall, participants expressed a positive attitude toward AED use. The most common behavioural beliefs identified include timeliness of defibrillation, patient survival, simplicity of AED use, accuracy of rhythm recognition, and harm to the patient, self, or others. Although several subjective norms were acknowledged, including physicians and the hospital administration, these themes were mentioned less frequently than the behavioural beliefs and control beliefs. The most common control beliefs identified consisted of lack of training on AED use, policy allowing AED use, familiarity with the AED, AED availability, and roles during resuscitation.

It is important to mention that, in most institutions, critical care nurses and nurses working in the emergency department can already provide defibrillation during in-hospital cardiac arrests. This is most often resulting from the adoption of a medical directive allowing the use of manual defibrillators rather than AEDs. Our participants included such critical care and emergency nurses. They also shared their respective barriers to AED use and defibrillation.

The themes identified in this qualitative study represent areas to target in order to facilitate policy change and behaviour change regarding AED use during cardiac arrest in both critical care and non-critical care areas of the hospital. Those theoretically derived determinants of participants’ intention to use an AED can be mapped to behavioural change techniques to be implemented in a multi-interventional study design.Reference Michie, Johnston and Francis 22 Such an intervention could help clarify how the intention to use an AED (as measured by the TPB constructs) is linked to the behaviour of actually using one in a cardiac arrest situation, and how nurses and respiratory therapists may differ in their use of AEDs.

Dwyer also published a qualitative study examining the defibrillation-related beliefs of nurses in rural Australia using focus groups and the TPB.Reference Dwyer, Mosel Williams and Mummery 28 Among the 12 recruited participants, 7 were allowed to defibrillate patients, most often using manual defibrillators. Our study found very similar results in discussions with urban nurses and respiratory therapists. Of note, a theme common to both Dwyer’s and the current study is the participants’ concern regarding the safety and accuracy of AEDs, with their ability to recognize electrical rhythms accurately, and with the perceived potential harm to the user and patients.Reference Dwyer, Mosel Williams and Mummery 28 A number of studies has shown that AEDs can safely be used by both trained health care providers and lay responders,Reference Peberdy, Kaye and Ornato 2 , Reference Hanefeld, Lichte and Mentges-Schroter 15 , Reference Caffrey, Willoughby and Pepe 29 - Reference White, Hankins and Bugliosi 32 and that they can accurately identify cardiac rhythms.Reference Dickey and Adgey 33 - Reference Kerber, Becker and Bourland 35

It is also important to consider the potential impact of such an AED program. Chan conducted a multi-centre cohort study of 11,695 cardiac arrests examining the effect of AED use in-hospital.Reference Chan, Krumholz and Spertus 3 This study reports overall lower survival to hospital discharge with AED use (16.3% v. 19.3%; p<0.001).Reference Chan, Krumholz and Spertus 3 Chan’s study did not find a decreased time to defibrillation with AED use, which may contribute to the overall lower survival. Furthermore, the database/registry used for that study did not specify who was using the AED – nurses and other allied health professionals, or physicians. An AED may delay defibrillation in the hands of a physician due to the time needed for automated rhythm analysis compared to manual rhythm recognition and defibrillation.

LIMITATIONS

The TPB is only one of many existing frameworks to study and analyse behaviour. Although it focuses on the “intension” to adopt a behaviour, the TPB is a rigorous framework very commonly used in health care studies. Qualitative inductive analysis may possibly be influenced by the bias of the investigators performing the analysis. We attempted to limit this bias by having two independent investigators (neither of which were a nurse or a respiratory therapist) complete the analysis and resolve conflicts by way of consensus.

CONCLUSIONS

Most nurses and respiratory therapists would agree to use an AED during in-hospital cardiac arrests if permitted to do so by a medical directive. Successful implementation would require educational initiatives focusing on safety and efficacy of AEDs, support from physicians and hospital administrators, and additional training on AED use. These beliefs are important to address through future research using appropriately selected behavioural change techniques and policy changes.

Acknowledgements

This article’s abstract was presented at the Canadian Association of Emergency Physicians conference in Montréal, QC, Canada, 2010. We would like to acknowledge the help and support of Dr. Ginette Rogers, RN, PhD (Senior Vice-President, Professional Practice and Chief Nursing Executive), Mrs. Evelyn Kerr, RN/IA, MScN (Director of Nursing Clinical Practice), Mrs. Renee Pageau (Corporate RT Clinical Practice Coordinator), the clinical unit managers from which our participants were recruited, and, not the least of which, all of the participants who share their off-duty time with us for the purpose of this important project. We would also like to acknowledge the administrative support of Mrs. Angela Marcantonio for her role in processing and submitting this study material.

Competing interests: This study was supported by the Department of Emergency Medicine, University of Ottawa, and the Summer Studentship Program, Faculty of Medicine, University of Ottawa.

References

1. Mozaffarian, D, Benjamin, E, Go, A, et al. Heart disease and stroke statistics – 2015 update: a report from the American Heart Association. Circulation 2015;131:e29-322.Google ScholarPubMed
2. Peberdy, MA, Kaye, W, Ornato, JP, et al. Cardiopulmonary resuscitation of adults in the hospital: a report of 14,720 cardiac arrests from the National Registry of Cardiopulmonary Resuscitation. Resuscitation 2003;58(3):297-308.CrossRefGoogle Scholar
3. Chan, PS, Krumholz, HM, Spertus, JA, et al. Automated external defibrillators and survival after in-hospital cardiac arrest. JAMA 2010;304:2129-2136.Google Scholar
4. Kleinman, M, Brennan, E, Goldberger, Z, et al. Part 5: adult basic life support and cardiopulmonary resuscitation quality: 2015 American Heart Association guidelines update for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation 2015;132:S414-S435.Google Scholar
5. Sandroni, C, Ferro, G, Santangelo, S, et al. In-hospital cardiac arrest: survival depends mainly on the effectiveness of the emergency response. Resuscitation 2004;62:291-297.Google Scholar
6. Chehadi, W, Vaillancourt, C, Gatta, M, et al. Review of in-hospital cardiac arrest care processes and evaluation of time delays amenable to automated external defibrillator use by allied health professionals. CJEM 2011;13:211 [abstract].Google Scholar
7. Murphy, M, Fitzsimons, D. Does attendance at an immediate life support course influence nurses’ skill deployment during cardiac arrest? Resuscitation 2004;62:49-54.Google Scholar
8. Kaye, W, Mancini, ME, Giuliano, KK, et al. Strengthening the in-hospital chain of survival with rapid defibrillation by first responders using automated external defibrillators: training and retention issues. Ann Emerg Med 1995;25:163-168.Google Scholar
9. Hamilton, R. Nurses’ knowledge and skill retention following cardiopulmonary resuscitation training: a review of the literature. J Adv Nurs 2005;51:288-297.CrossRefGoogle ScholarPubMed
10. Makinen, M, Aune, S, Niemi-Murola, L, et al. Assessment of CPR-D skills of nurses in Goteborg, Sweden and Espoo, Finland: teaching leadership makes a difference. Resuscitation 2007;72:264-269.Google Scholar
11. Service Ontario e-Laws. Legislative Assembly of Ontario Canada Section 27. Regulated Health Professions Act (S.O. 1991, c18); 1991. Available at: http://wwwe-lawsgovonca/html/statutes/english/elwaws_statutes_91r18_ethm#BK24 (accessed 8 August 2014).Google Scholar
12. Service Ontario e-Laws. Legislative Assembly of Ontario Canada. Nursing Act (1991, O. Reg. 275/94). Part III Controlled Acts; 1991. Available at: wwwe-lawsgovonca/html/regs/english/elaws_regs_940275_ehtm#BK35 (accessed 8 August 2014).Google Scholar
13. Destro, A, Marzaloni, M, Sermasi, S, et al. Automatic external defibrillators in the hospital as well? Resuscitation 1996;31:39-43; discussion 43-4.Google Scholar
14. Gombotz, H, Weh, B, Mitterndorfer, W, et al. In-hospital cardiac resuscitation outside the ICU by nursing staff equipped with automated external defibrillators – the first 500 cases. Resuscitation 2006;70:416-422.Google Scholar
15. Hanefeld, C, Lichte, C, Mentges-Schroter, I, et al. Hospital-wide first-responder automated external defibrillator programme: 1 year experience. Resuscitation 2005;66:167-170.Google Scholar
16. De Regge, M, Monsieurs, KG, Vandewoude, K, et al. Should we use automated external defibrillators in hospital wards? Acta Clinica Belgica 2012;67:241-245.Google Scholar
17. Kenward, G, Castle, N, Hodgetts, TJ. Should ward nurses be using automatic external defibrillators as first responders to improve the outcome from cardiac arrest? A systematic review of the primary research. Resuscitation 2002;52:31-37.CrossRefGoogle ScholarPubMed
18. Ajzen, I. The theory of planned behaviour. Organ Behav Hum Decis Process 1991;50:179-211.Google Scholar
19. Ajzen, I. The direct influence of attitudes on behaviour. In Gollwitzer PM, Bargh JA (eds.). The psychology of action: linking cognition and motivation to behaviour. New York: Guilford Press; 1996: 173-221.Google Scholar
20. Godin, G, Kok, G. The theory of planned behavior: a review of its applications to health-related behaviors. Am J Health Promot 1996;11:87-98.Google Scholar
21. Bunce, D, Birdi, KS. The theory of reasoned action and the theory of planned behaviour as a function of job control. Br J Health Psychol 2003;3:265-275.Google Scholar
22. Michie, S, Johnston, M, Francis, J, et al. From theory to intervention: mapping theoretically derived behavioural determinants to behaviour change techniques. Applied Psychol 2008;57:660-680.Google Scholar
23. Kelley, K, Abraham, C. Health promotion for people aged over 65 years in hospitals: nurses’ perceptions about their role. J Clin Nurs 2007;16:569-579.Google Scholar
24. Edwards, HE, Nash, RE, Najman, JM, et al. Determinants of nurses’ intention to administer opioids for pain relief. Nurs Health Sci 2001;3:149-159.CrossRefGoogle ScholarPubMed
25. Godin, G. Determinants of nurses compliance to universal precautions. Am J Infect Control 2000;28:359-364.Google Scholar
26. Francis, J, Eccles, M, Johnston, M, et al. Constructing questionnaires based on the theory of planned behaviour: a manual for health services researchers. Newcastle: Center for Health Services Research; 2004.Google Scholar
27. Francis, JJ, Johnston, M, Robertson, C, et al. What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychol Health 2010;25:1229-1245.Google Scholar
28. Dwyer, TA, Mosel Williams, L, Mummery, K. Defibrillation beliefs of rural nurses: focus group discussions guided by the Theory of Planned Behaviour. Rural Remote Health 2005;5:322.Google Scholar
29. Caffrey, SL, Willoughby, PJ, Pepe, PE, et al. Public use of automated external defibrillators. N Engl J Med 2002;347:1242-1247.Google Scholar
30. Page, RL, Joglar, JA, Kowal, RC, et al. Use of automated external defibrillators by a U.S. airline. N Engl J Med 2000;343:1210-1216.Google Scholar
31. Valenzuela, TD, Roe, DJ, Nichol, G, et al. Outcomes of rapid defibrillation by security officers after cardiac arrest in casinos. N Engl J Med 2000;343:1206-1209.CrossRefGoogle ScholarPubMed
32. White, RD, Hankins, DG, Bugliosi, TF. Seven years’ experience with early defibrillation by police and paramedics in an emergency medical services system. Resuscitation 1998;39:145-151.Google Scholar
33. Dickey, W, Adgey, AA. Mortality within hospital after resuscitation from ventricular fibrillation outside hospital. Br Heart J 1992;67:334-338.Google Scholar
34. Atkinson, E, Mikysa, B, Conway, JA, et al. Specificity and sensitivity of automated external defibrillator rhythm analysis in infants and children. Ann Emerg Med 2003;42:185-196.Google Scholar
35. Kerber, RE, Becker, LB, Bourland, JD, et al. Automatic external defibrillators for public access defibrillation: recommendations for specifying and reporting arrhythmia analysis algorithm performance, incorporating new waveforms, and enhancing safety. A statement for health professionals from the American Heart Association Task Force on Automatic External Defibrillation, Subcommittee on AED Safety and Efficacy. Circulation 1997;95:1677-1682.Google Scholar
Figure 0

Figure 1 The theory of planned behaviour.

Figure 1

Figure 2 Examples of interview questions.

Figure 2

Table 1 Characteristics of the 24 interview participants

Figure 3

Table 2 Behavioural beliefs

Figure 4

Table 3 Subjective norms

Figure 5

Table 4 Control beliefs