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Mapping the decision pathways of acute infection management in secondary care among UK medical physicians: a qualitative study
BMC Medicine volume 14, Article number: 208 (2016)
The inappropriate use of antimicrobials drives antimicrobial resistance. We conducted a study to map physician decision-making processes for acute infection management in secondary care to identify potential targets for quality improvement interventions.
Physicians newly qualified to consultant level participated in semi-structured interviews. Interviews were audio recorded and transcribed verbatim for analysis using NVIVO11.0 software. Grounded theory methodology was applied. Analytical categories were created using constant comparison approach to the data and participants were recruited to the study until thematic saturation was reached.
Twenty physicians were interviewed. The decision pathway for the management of acute infections follows a Bayesian-like step-wise approach, with information processed and systematically added to prior assumptions to guide management. The main emerging themes identified as determinants of the decision-making of individual physicians were (1) perceptions of providing ‘optimal’ care for the patient with infection by providing rapid and often intravenous therapy; (2) perceptions that stopping/de-escalating therapy was a senior doctor decision with junior trainees not expected to contribute; and (3) expectation of interactions with local guidelines and microbiology service advice. Feedback on review of junior doctor prescribing decisions was often lacking, causing frustration and confusion on appropriate practice within this cohort.
Interventions to improve infection management must incorporate mechanisms to promote distribution of responsibility for decisions made. The disparity between expectations of prescribers to start but not review/stop therapy must be urgently addressed with mechanisms to improve communication and feedback to junior prescribers to facilitate their continued development as prudent antimicrobial prescribers.
The growing threat of antimicrobial resistance (AMR) is a leading patient health and safety issue, with estimates that AMR will be responsible for more than 10 million deaths by 2050 . A major driver of AMR has been the misuse of antimicrobials in humans . Whilst reasons for the misuse of antimicrobials in humans are complex and multifaceted, a number of factors have been described and investigated. At the individual level, prescribers often prioritise the management of the patient in front of them, paying little regard to the long-term consequences (on future patients and generations) of overusing antimicrobials . Moreover, the majority of antimicrobial prescribing is performed by individuals who are not experts in infection management and may have limited understanding of antimicrobials and AMR [2, 4–6]. At the hospital/team level a number of barriers to the effective use of antimicrobials have been described, including the role of team hierarchies and prescribing etiquette, which can often hinder external interventions to optimise prescribing behaviours [7–9]. Finally, the role of patient involvement in the decision-making process for antimicrobial prescribing is now recognised to also shape the decisions made by physicians, with patient expectations and understanding of antimicrobials being important in shaping the appropriate use of therapy during infection management [10–12].
To address the challenges posed by AMR, the importance of behaviour change interventions in improving the long-term use of antimicrobials in infection management has been recognised [8, 9, 13]. Despite the growing body of evidence describing knowledge, attitudes and cultural determinants of antimicrobial prescribing [4, 7, 14], very little data exists mapping the clinicians decision pathway for the management of infections and antimicrobial prescribing within secondary care. A greater understanding of the decision pathways taken by prescribers may allow for the development of targeted interventions for specific aspects of this pathway.
We report a study to map the decision-making process of medical physicians in secondary care for acute infection management and investigate the factors that may hinder or facilitate the effective use of antimicrobials.
The sampling frame for this study included all non-infection specialist medical physicians (defined as either (1) clinical specialties who practiced general internal medicine, such as cardiology, respiratory, and geriatric medicine, or (2) augmented care specialties such as haematology and nephrology) who were, at the time of the study, practicing at Imperial College NHS Healthcare Trust. The Trust comprises of three separate hospitals (1500 beds) that serve a population of 2.5 million citizens. Medical physicians from those in training (i.e. on rotation and specialist trainees) to consultant grade were included. Given that the majority of UK antimicrobial prescribing is performed by physicians, we elected to exclude other healthcare professionals involved in infection management (e.g. pharmacists and nurses). Primary care physicians, surgeons, intensive care specialists and focused specialties, such as psychiatry, were excluded from this study as the focus was the management of acute infections in the medical specialty, outside of highly specialised settings. Furthermore, many specialist areas excluded tend to also engage in a broader range of antimicrobial prescribing activities (e.g. prophylactic therapy in surgery) and also often rely on support through multi-disciplinary management of infections with medical and/or infection team input, which has been demonstrated to improve patient outcomes for infection management in these settings [15–21].
Using purposive sampling, physicians were invited to participate in this study [22, 23]. The aim of this study was to map out and compare the decision-making processes employed for acute infection management on the hospital wards by non-infection medical specialties and explore any factors that influenced this process. Participants were purposively sampled at different levels of training (on-rotation, specialist trainee and consultant) with deliberate selection that aimed to reflect the diversity of medical specialties within the hospital environment. To achieve this, physicians in the 11 major non-infection medical specialties within the hospitals, who are responsible for in-patients, were contacted via email and invited to participate in face-to-face semi-structured interviews. Two follow-up emails were sent if there was no reply from the initial invitation email at weekly intervals. Respondents who accepted to participate via email were stratified into on-rotation, specialist trainee and consultant physicians for interviews. All participants consented to participating in the study and have their interviews recorded. Interviews were conducted between August 2015 and April 2016, by one researcher (TMR; a junior doctor/clinical researcher not working within the hospitals in question). A standardised, piloted 10-question semi-structured interview guide (Appendix) was initially used to structure the interviews. Participants from each of the specialties and grades of clinician were interviewed [22–24]. Interviews were continued for each stratified grade and specialty until saturation was reached and no new themes were found to emerge [22, 23, 25, 26]. All data were anonymised with only the interviewer knowing participant identities. The interviews were audio recorded and then transcribed verbatim.
The study protocol was reviewed by the West London Regional Ethics Committee and considered to meet criteria for monitoring under service evaluation governance structures (REC 15/LO/1269/ICHNT Service Evaluation SE113).
A grounded theory approach was applied to data analysis [22, 23]. NVIVO Pro 11.0 software was used to support analysis of the transcripts with the same researcher (TMR) reviewing all transcripts and performing initial line-by-line coding. During analysis, emerging themes and theories were discussed with a multi-professional team of researchers including non-medical researchers (BH, PH, PG), physicians (LSPM, AH), nurses (ECS), pharmacists (EC) and social science researchers (ECS, EC) to increase reflexivity and allow the main reviewer to be more aware of their own perceptions . Deviant statements that may contradict emerging themes were also actively sought out to improve the rigor of our analysis [25, 28].
Thirty four physicians from 10 non-infection medical specialties responded to the invitation email agreeing to participate in the study. However, saturation was reached after 20 interviews. Seven participants were on-rotation physicians (from newly qualified to fourth year in training), four were specialist trainees, and nine were consultant level (Table 1). The interviews ranged in duration from 12 to 32 minutes, with a median length of 20 minutes.
Mapping the decision making process
Analysis of the data identified six common themes describing the stages of the decision-making process for infection management. Clinicians reported that they begin with a predefined risk of an infection being present and then systematically add further information in a stepwise process, allowing optimisation of decisions on diagnosis and management in a dynamic manner. Although this process could also be viewed as a cyclical process, with physicians returning to step 1 every time they re-assess the patient, the steps and common variables considered within each step by the individual physician have been mapped out in a linear fashion for simplicity in Fig. 1.
The antibiotic decision-making process begins by looking for changes in the patient’s physiological parameters, with temperature being an important factor assessed at this point. Following this, participants report that the second stage involves attempting to localise and confirm that infection is present. This was reported to involve both searching for reported symptoms and backing this up with signs on examination. The third step reported as part of this process was the review and planning of further investigations, with C-reactive protein regarded as a key biological indicator of infection during this phase of management. Fourthly, through comparison and synthesis of findings from steps one to three, physicians reported that this allows them to construct a picture of the severity of the infection that they are managing. This was widely reported to be judged based on the overall ‘clinical picture’ that is built up during steps one to three with junior physicians also tending to report using criteria such as the ‘septic six’ or ‘Systemic Inflammatory Response Syndrome criteria’ to help determine the severity and whether or not this is classified as sepsis. The fifth reported step in the pathway is the decision of initiating antimicrobial treatment. The local microbiology guidance (written or electronic) provided within the hospitals involved was a key factor determining what therapy would be commenced, with physicians describing how steps one to four determine how this information is interpreted. Deferring therapy (or ‘watch and wait’) was an option also considered by the participants. The final step in the pathway was the review and refinement stage, which can occur through two separate or overlapping routes. The first of these is internally, with the individual physician returning to the first stage of the decision pathway and assessing for changes in each stage over time, building on the information observed during their initial review. The second route is by external review, by another physician (often reported as more senior or specialist), who uses stages one to five to review and refine the management decision made by the prescriber (Table 2).
Factors influencing the decision-making process
There were several key themes that emerged from the participant interviews to describe factors that influence the decision-making process outlined above. Two of these were common themes that have previously been reported in the literature; hierarchical team systems and etiquette around prescribing practices [7, 29, 30]. Several previously unreported concepts were also identified within this study surrounding stopping/de-escalating therapy, the role of guidelines and microbiology advice, and feelings of responsibility for providing optimal care. Many of these factors tended to largely influence the latter half of the decision pathway, surrounding initiation and review of antimicrobial therapy.
Physician skills used to assess the patient
Participants described the feeling of overall responsibility of the team and, in particular, the consultant for the patient under their care. This level of responsibility was reported to drive consultants to make autonomous decisions about the management of their own patients, using previous experiences and knowledge to make subjective assessments of the state of their patient using the pathway described in Fig. 1. Whilst junior members of the team may make initial decisions about the management of patients, the consultant reported seeing themselves as the final decision maker, with their job to review and refine the decisions of junior colleagues.
This perception projects down the medical team, with specific expectations made about junior colleagues’ actions, especially those on-rotation. On-rotation doctors report that they develop their assessment and decision-making skills through clinical practice. They are usually the first individuals to respond to an unwell patient, and tend towards reliance on objective parameters, such as heart rate and temperature in the place of subjective measures such as examination findings and general impression of the patient, which take more predominance when consultants make their assessment. Furthermore, on-rotation doctors report fears of missing the septic patient. It appears that this fear of sepsis, linked with the expectation placed on juniors to prescribe antibiotics, can often lead to inappropriate views of infection management, in particular antimicrobial prescribing. This often culminates in there being an overwhelming need to commence antimicrobials as soon as possible in anyone suspected of having an infection.
Antibiotic prescribing as a key component of provision of optimal care
Another reported factor that influences the provision of optimal care is the fact that the patient is in hospital, which promotes the physician to need to feel they are providing optimal care for their patient regardless of whether this is evidence based or not. A theme that emerged was that physician definitions of optimal care includes the prescription of antibiotics, with intravenous often felt to be more optimal than oral for those requiring treatment in hospital (Table 3).
Ambiguity in stopping/de-escalating antibiotic therapy
Whilst junior physicians have a huge weight of expectation to start antibiotics as quickly as possible in patients suspected of having infection, the opposite appears true of them stopping or de-escalating therapy. A key factor throughout the interviews was that on-rotation doctors are not expected to stop or de-escalate therapy, with this responsibility seen as something only consultants and specialist registrar trainees undertake. Furthermore, it was widely reported by junior physicians that there is often variable feedback on the decisions that they have made following review and refinement by an external reviewer. This caused a great deal of frustration with junior prescribers, who often did not fully appreciate why their decisions had been over-ruled/changed and therefore feel that they do not develop a deep understanding of this skill. Another area of frustration reported by junior doctors was the heterogeneity between senior clinicians to how they approach stopping or de-escalating therapy, which when teamed with lack of feedback can often deter trainees from even attempting to make or suggest changes to therapy in this respect. This is something that was supported by senior participants, who reflected on the lack of an evidence base for lengths of treatment to support them acting as senior decision-makers (Table 4).
The role of guidelines and microbiology advice
Antimicrobial prescribing guidelines and clinical microbiology services play a large role in the decision-making process for infection management, despite senior physicians taking responsibility for the patients’ overall management and care. On-rotation and specialist trainee physicians report adherence to guidelines for prescribing as they realise that this is the expectation of their senior colleagues and the hospital. Consultants report that their job is to ensure that these guidelines are adhered to when this is appropriate, but also retain autonomy to be able to adapt guidelines based on their own experience and feel for the situation.
For on-rotation and specialist trainee physicians, microbiology services and advice is seen as a very valuable and convenient point of access, often referred to as a safety-net for challenging decisions, which are not necessarily outlined in the local antimicrobial guidelines or when a junior physician is not confident that they have selected the correct treatment. It is at this point that physicians tend to “just call microbiology and ask….”. However, several issues with the reliance on microbiology services for helping the decision-making process are also reported by senior physicians. These include poor communication pathways during microbiology discussions, the lack of microbiologist responsibility for outcomes of therapy recommended and a lack of continuity in the service provided due to rotation of trainee physicians. Furthermore, this perceived lack of responsibility reported means that consultants report that they are often reluctant to change decisions based on the advice of junior colleagues from other specialties, such as microbiology, especially when it is perceived that they are not fully aware of all the patient factors outlined in the decision process (Table 5).
Medical physicians report a common stepwise approach to the decision process surrounding acute infection management, where new information is constantly considered in the context of prior knowledge in a dynamic and often multi-level Bayesian-like process. Despite a common overall approach, a number of factors alter the weighting given to individual variables in this process, many of which focus on the later phases of the decision process (initiation of therapy and reviewing/refining those decisions). Factors that significantly influence this are expectations of providing optimal care for the patient, perceptions surrounding stopping and de-escalating therapy, and interactions with local guidelines and microbiology advice provided by specialists. Previously reported factors of team hierarchies and prescribing etiquette, also featured heavily [7, 29, 30]. Prescribing etiquette refers to the unwritten social code of practice around antibiotic prescribing which includes the desire for clinical autonomy and the reluctance to interfere with the antibiotic prescribing behaviours of peers .
Windows of influence on decision making
There are four defined spheres of influence that affect physician-reported decision-making in the infection pathway. These could be thematically identified as either consciously or subconsciously influencing the non-infection specialist medical physician’s decision process for acute infection management. These are (1) implicit factors (such as the stages reported in Fig. 1), which are known to both the individual and the wider team and are what are commonly incorporated into guidelines and protocols for antimicrobial use such as the ‘start-smart-and-focus’ campaign within the UK ; (2) explicit factors, which are often blind spots that the individual often is not aware of but may be appreciated by others, such as observations of team hierarchies and prescribing etiquette; (3) internalised rationale (or hidden reasoning), that is known to the individual but often not externalised to others, such as is reported about senior decision-makers who do not feedback rationale for changing therapy to more junior colleagues (this can often cause confusion and frustration when reasons for decisions are not shared beyond the individual who has made them); and (4) subconscious influences that are neither identified by the individual or wider cohort, but are likely to play a significant role in the decision-making process. This could potentially include the role of other disciplines such as pharmacists and nursing staff who have been demonstrated to have a role in promoting optimal use of antimicrobials in several settings [32, 33], but were seldom reported and not identified by the participants in this study. This is especially grave, given that the role of the pharmacist, in the UK, is often described as the corner stone of antimicrobial stewardship (AMS) interventions and further highlights the need to challenge the current prescriber hierarchies that exist within the hospital setting [32, 34]. What could be observed from physician interviews was that a major factor for the engagement of pharmacists in the decision process appeared to be their level of seniority and presence and involvement in the core medical team caring for the patient.
“And the pharmacists are often good, I think when we often have the pharmacists on the post-take ward round and it depends a bit on their seniority and confidence, so the ones who will speak up and challenge are excellent” [Consultant, respiratory]
Therefore, interventions may also benefit from targeting the promotion of multi-professional integration to help normalise the role of the pharmacist and other healthcare professionals within the decision-making process surrounding infection management.
Despite there being several windows of influence that appear to contribute to the decision-making process, current interventions that include quality improvement and guidelines/policy appear to only focus on the initial implicit factors identified. Broader approaches to address the wider social and cultural knowns and unknowns must also be considered if we are to have a significant impact on the non-expert prescriber’s decision pathway. This is especially important as AMR is now a major driver of the patient safety and political agenda. With this, the role of behavioural sciences in promoting the appropriate and judicious use of antimicrobial agents has become a leading theme for AMS interventions [8, 34, 35]. The role of team dynamics and hierarchy has been explored in the intensive care unit and also considered for translation into clinical decision support software [30, 36–38]. However, our study has highlighted that simply understanding the decision process and incorporating it into AMS interventions is unlikely to be successful given the complex factors that influence decision making at all levels of the physician hierarchy.
Distributing responsibility for decision making
A major theme emerging from this study was that of responsibility for the decisions that are made for the patient. This was highlighted when consultants considered clinical microbiology advice. Whilst the role of clinical microbiology was seen as a great help overall, senior clinicians often see the quality of the advisory services to be dependent on the information that is provided by junior colleagues, the lack of continuity in who they gain advice from, and the limited responsibility for the consequences of therapy that the microbiologist has when they provide advice. This links with the senior clinicians’ experience and autonomy in decision-making, which often leads to frustration and consideration of alternative treatments that may not be based on evidence. Therefore, it would seem that, to effectively address these perceived issues, some level of responsibility for the impact of prescribing decisions must be distributed beyond that of the senior consultant in charge of the patient.
Addressing the role of antibiotics in providing optimal care
Physicians report reflective practices as they progress through their training. They report developing an understanding, that as junior trainees, they were scared of sepsis or under treating an individual and therefore causing harm. As a response to this concern, they focus solely on the short term, preferring to prescribe broad-spectrum agents and seek senior physician support to refine these decisions. This decision process is further supported by the provision of detailed local prescribing guidelines, which provide junior trainee’s with justification for making prescribing decisions and protecting them from judgement by their senior team members, even if those decisions are incorrect. This is further reinforced by the expectation placed upon them to be able to prescribe antibiotics for infections. The opposite is true of stopping or de-escalating antimicrobials, which is seen as a more serious decision that could affect the patient negatively and is therefore deferred to the senior decision-makers. To effectively promote improvements in antimicrobial use in secondary care these assumptions must be effectively challenged to address the negative aspects of antimicrobial therapy and empower individuals in revising the decisions that they have made.
This study had several limitations. Firstly, we only interviewed medical physicians working in a narrow number of specialties from one UK NHS hospital Trust, meaning that there may be variations in the team dynamics and workflows in different specialties (such as surgery) and regions of the world. Furthermore, the researcher, a junior medical doctor, performed all of the interviews (TMR), which was considered as a potential source of bias during the interview and analysis process. To address this during data analysis, a multi-professional group of researches involving doctors (LSPM, AH), a pharmacist (EC), a nurse (ECS), and lay researchers (BH, PH, PG) all reviewed the data and provided input on final thematic selection. Finally, although our theoretical sampling methodology followed validated guidelines and we purposefully sought out deviant statements to contradict emerging themes, the reliance on individual responses to invited emails may have introduced selection bias as individuals interested in antimicrobial prescribing and stewardship may have been more likely to respond to invitations [25, 28].
In conclusion, we have identified that physicians in secondary care adopt a Bayesian approach to the decision process for infection management. Whilst a large number of factors influence how physicians weight individual variables, there is also a common theme, which must be addressed if behaviour change interventions promoting optimised antimicrobial prescribing are to be successful. These include distribution of the responsibility of prescribing decision, fostering an earlier understanding of the risks of antimicrobial therapy and expectations about de-escalation, and promotion of true multi-professional involvement in decision-making for infection management. Future studies must look to quantify the influence of identified variables on the decision-making pathway. Furthermore, reported decision-making pathways must be linked with observations from clinical practice to allow triangulation of reported findings and identification of further areas for targeted interventions to promote the optimal management of acute infections within secondary care.
O’Neill J. Antimicrobial Resistance: Tackling a Crisis for the Health and Wealth of Nations. 2014. https://amr-review.org/Publications.
Holmes AH, Moore LSP, Sundsfjord A, Steinbakk M, Regmi S, Karkey A, Guerin PJ, Piddock LJV. Understanding the mechanisms and drivers of antimicrobial resistance. Lancet. 2016;387(10014):176–87. doi:10.1016/S0140-6736(15)00473-0.
Littmann J, Viens A. The ethical significance of antimicrobial resistance. Public Health Ethics. 2015;8(3):209–24.
Pulcini C, Williams F, Molinari N, Davey P, Nathwani D. Junior doctors’ knowledge and perceptions of antibiotic resistance and prescribing: a survey in France and Scotland. Clin Microbiol Infect. 2011;17:80–7.
Teixeira Rodrigues A, Roque F, Falcão A, Figueiras A, Herdeiro MT. Understanding physician antibiotic prescribing behaviour: A systematic review of qualitative studies. Int J Antimicrob Agents. 2013;41:203–12.
Doyle MP, Loneragan GH, Scott HM, Singer RS. Antimicrobial resistance: Challenges and perspectives. Compr Rev Food Sci Food Saf. 2013;12:234–48.
Charani E, Castro-Sanchez E, Sevdalis N, Kyratsis Y, Drumright L, Shah N, Holmes A. Understanding the determinants of antimicrobial prescribing within hospitals: The role of “prescribing etiquette”. Clin Infect Dis. 2013;57:188–96.
Charani E, Edwards R, Sevdalis N, Alexandrou B, Sibley E, Mullett D, Franklin BD, Holmes A. Behavior change strategies to influence antimicrobial prescribing in acute care: a systematic review. Clin Infect Dis. 2011;53:651–62.
Davey P, Brown E, Charani E, Fenelon L, Gould IM, Holmes A, Ramsay CR, Wiffen PJ, Wilcox M. Interventions to improve antibiotic prescribing practices for hospital inpatients. Cochrane Database Syst Rev. 2013;4:CD003543.
Lake Research Partners. Informing and Involving Patients in Medical Decisions: The Primary Care Physicians Perspective. 2009. http://www.hospitalmanagement.net/downloads/whitepapers/cleaning/1596/.
Coxeter P, Del Mar CB, McGregor L, Beller EM, Hoffmann TC. Interventions to facilitate shared decision making to address antibiotic use for acute respiratory infections in primary care. Cochrane Database Syst Rev. 2015;11:CD010907.
Jevsevar DS. Shared decision making tool: should I take antibiotics before my dental procedure? J Am Acad Orthop Surg. 2013;21:190–2.
Public Health England, Department of Health. Behaviour change and antibiotic prescribing in healthcare settings Literature review and behavioural analysis. 2015. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/405031/Behaviour_Change_for_Antibiotic_Prescribing_-_FINAL.pdf.
Pulcini C, Gyssens IC. How to educate prescribers in antimicrobial stewardship practices. Virulence. 2013;4:192–202.
Rawson TM, Gill D, Buckley J, Renton S. The role of the multidisciplinary team in decision making for vascular graft infection. J Vasc Surg. 2015;62:1686.
Epstein N. Multidisciplinary in-hospital teams improve patient outcomes: A review. Surg Neurol Int. 2014;5:295.
Bornard L, Dellamonica J, Hyvernat H, Girard-Pipau F, Molinari N, Sotto A, Roger PM, Bernardin G, Pulcini C. Impact of an assisted reassessment of antibiotic therapies on the quality of prescriptions in an intensive care unit. Med Mal Infect. 2011;41:480–5.
Pulcini C, Botelho-Nevers E, Dyar OJ, Harbarth S. The impact of infectious disease specialists on antibiotic prescribing in hospitals. Clin Microbiol Infect. 2014;20:963–72.
Raineri E, Pan A, Mondello P, Acquarolo A, Candiani A, Crema L. Role of the infectious diseases specialist consultant on the appropriateness of antimicrobial therapy prescription in an intensive care unit. Am J Infect Control. 2008;36:283–90.
Rimawi RH, Mazer M, Siraj DS, Gooch M, Cook PP. Impact of regular collaboration between infectious diseases and critical care practitioners on antimicrobial utilization and patient outcome. Crit Care Med. 2013;41:2099–107.
Taggart LR, Leung E, Muller MP, Matukas LM, Daneman N. Differential outcome of an antimicrobial stewardship audit and feedback program in two intensive care units: a controlled interrupted time series study. BMC Infect Dis. 2015;15:480.
Strauss A, Corbin J. Grounded theory methodology. In: Handbook of Qualitative Research. Thousand Oaks: Sage; 1994. p. 273–85.
Walker D, Myrick F. Grounded theory: an exploration of process and procedure. Qual Health Res. 2006;16:547–59.
Coyne IT. Sampling in qualitative research. Purposeful and theoretical sampling; merging or clear boundaries? J Adv Nurs. 1997;26:623–30.
Willig C. Introducing qualitative research in psychology. Maidenhead, England: McGraw Hill/Open University Press. 2008;69–82.
Charmaz K. Constructing Grounded Theory: A Practical Guide through Qualitative Analysis, vol. 10. London: Sage Publications; 2006.
Barry CA, Britten N, Barber N, Bradley C, Stevenson F. Teamwork in qualitative research. Heal (San Fr). 1999;9:26–44.
Pope C, Ziebland S, Mays N. Analysing qualitative data. Nurse Res. 2011;18:4–5.
Lewis PJ, Tully MP. Uncomfortable prescribing decisions in hospitals: the impact of teamwork. J R Soc Med. 2009;102:481–8.
Livorsi D, Comer A, Matthias MS, Perencevich EN, Bair MJ. Factors influencing antibiotic-prescribing decisions among inpatient physicians: a qualitative investigation. Infect Control Hosp Epidemiol. 2015;36:1065–72.
ESPAUR SSTF Implementation subgroup. Start Smart - Then Focus Antimicrobial Stewardship Toolkit for English Hospitals. 2015. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/417032/Start_Smart_Then_Focus_FINAL.PDF.
Cooke FJ, Franklin BD, Lawson W, Jacklin A, Holmes A. Multidisciplinary hospital antibiotic stewardship: a West London model. Clin Gov An Int J. 2004;9:237–43.
Edwards R, Drumright LN, Kiernan M, Holmes A. Covering more territory to fight resistance: considering nurses’ role in antimicrobial stewardship. J Infect Prev. 2011;12:6–10.
Dellit TH, Owens RC, McGowan JE, Gerding DN, Weinstein RA, Burke JP, Huskins WC, Paterson DL, Fishman NO, Carpenter CF, Brennan PJ, Billeter M, Hooton TM. Infectious Diseases Society of America and the Society for Healthcare Epidemiology of America Guidelines for developing an institutional program to enhance antimicrobial stewardship. Clin Infect Dis. 2007;44:159–77.
Department of Health, Department for Environment Food and Rural Affairs. UK Five Year Antimicrobial Resistance Strategy 2013 to 2018. 2013. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/244058/20130902_UK_5_year_AMR_strategy.pdf.
Thursky KA, Mahemoff M. User-centered design techniques for a computerised antibiotic decision support system in an intensive care unit. Int J Med Inform. 2007;76:760–8.
De Souza V, MacFarlane A, Murphy AW, Hanahoe B, Barber A, Cormican M. A qualitative study of factors influencing antimicrobial prescribing by non-consultant hospital doctors. J Antimicrob Chemother. 2006;58:840–3.
Montravers P, Dupont H, Gauzit R, Veber B, Bedos J-P, Lepape A. Strategies of initiation and streamlining of antibiotic therapy in 41 French intensive care units. Crit Care. 2011;15:R17.
The authors would like to thank members of Imperial College NHS Healthcare Trust who participated in the study. The authors would also like to acknowledge the National Institute of Health Research Imperial Biomedical Research Centre and the National Institute for Health Research Health Protection Research Unit (NIHR HPRU) in Healthcare Associated Infection and Antimicrobial Resistance at Imperial College London in partnership with Public Health England and the NIHR Imperial Patient Safety Translational Research Centre. The views expressed in this publication are those of the authors and not necessarily those of the NHS, the National Institute for Health Research or the UK Department of Health.
This report is independent research funded by the National Institute for Health Research Invention for Innovation (i4i) programme, Enhanced, Personalized and Integrated Care for Infection Management at Point of Care (EPIC IMPOC), II-LA-0214-20008.
Availability of data and materials
The anonymised datasets analysed during the current study are available from the corresponding author (TMR email@example.com) on reasonable request, as long as this meets local ethics and research governance criteria.
TMR, EC, LSPM, ECS and AH designed the study methodology. TMR conducted interviews and performed iterative data analysis. All authors (TMR, EC, LSPM, ECS, BH, PH, PG, AH) reviewed emerging themes and categories during data analysis and contributed comments to aid reflexivity. TMR drafted the initial manuscript with all authors (TMR, EC, LSPM, ECS, BH, PH, PG, AH) contributing significantly to revising this for submission to BMC. All authors agreed on the final version for submission to the journal.
AHH and LSPM have consulted for bioMérieux in 2013 and 2014, respectively. All other authors have no conflicts of interest to declare.
Consent for publication
All participants have provided written consent to participate in this study that included for the publication of anonymised direct quotations from interviews.
Ethics approval and consent to participate
The study protocol was reviewed by the West London Regional Ethics Committee (REC) and deemed to not require ethics approval with monitoring under service evaluation governance structures being recommended by the REC as more appropriate for this study (REC 15/LO/1269 / ICHNT Service Evaluation SE113). All participants were consented to participate and have the interviews recorded. All data was anonymised with only the interviewer knowing individuals identities.
Baseline questions used for decision mapping interviews
For a patient with an infection, describe how investigation and management decisions (including prescribing antimicrobials) are made.
If you had to rank (i) patient physiology, (ii) biomarker changes and (iii) microbiology results in their importance in relation to antimicrobial prescribing, how would you do so?
Prompts: how do these three factors relate to: sending further tests? If so which? Starting antimicrobials/narrowing spectrum of antimicrobials/stopping antimicrobials?
How is the final decision on infection management made?
How are these decisions made out of hours at night? And at the weekend?
Do you have a vision of an ideal way for infection management decisions to be made?
Are there any barriers to you making what you think are the optimal antimicrobial decisions?
Are there any aids that help with making the optimal antimicrobial decisions?
How do you access patient data when you are making infection management decisions?
How do you access published medical literature to help make decisions?
When do you access published medical information to help make decisions?
Do you feel empowered or dis-empowered to make decisions to start, stop or change antimicrobial prescriptions?
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Cite this article
Rawson, T.M., Charani, E., Moore, L.S.P. et al. Mapping the decision pathways of acute infection management in secondary care among UK medical physicians: a qualitative study. BMC Med 14, 208 (2016) doi:10.1186/s12916-016-0751-y
- Antimicrobial stewardship