- Research article
- Open Access
- Open Peer Review
Interacting factors associated with Low antibiotic prescribing for respiratory tract infections in primary health care – a mixed methods study in Sweden
- Eva Lena Strandberg†1, 2Email author,
- Annika Brorsson†1, 3,
- Malin André4, 5,
- Hedvig Gröndal6,
- Sigvard Mölstad1 and
- Katarina Hedin†1, 7
© The Author(s). 2016
- Received: 24 February 2016
- Accepted: 13 July 2016
- Published: 18 July 2016
Prescribing of antibiotics for common infections varies widely, and there is no medical explanation. Systematic reviews have highlighted factors that may influence antibiotic prescribing and that this is a complex process. It is unclear how factors interact and how the primary care organization affects diagnostic procedures and antibiotic prescribing. Therefore, we sought to explore and understand interactions between factors influencing antibiotic prescribing for respiratory tract infections in primary care.
Our mixed methods design was guided by the Triangulation Design Model according to Creswell. Quantitative and qualitative data were collected in parallel. Quantitative data were collected by prescription statistics, questionnaires to patients, and general practitioners’ audit registrations. Qualitative data were collected through observations and semi-structured interviews.
From the analysis of the data from the different sources an overall theme emerged: A common practice in the primary health care centre is crucial for low antibiotic prescribing in line with guidelines. Several factors contribute to a common practice, such as promoting management and leadership, internalized guidelines including inter-professional discussions, the general practitioner’s diagnostic process, nurse triage, and patient expectation. These factors were closely related and influenced each other. The results showed that knowledge must be internalized and guidelines need to be normative for the group as well as for every individual.
Low prescribing is associated with adapted and transformed guidelines within all staff, not only general practitioners. Nurses’ triage and self-care advice played an important role. Encouragement from the management level stimulated inter-professional discussions about antibiotic prescribing. Informal opinion moulders talking about antibiotic prescribing was supported by the managers. Finally, continuous professional development activities were encouraged for up-to-date knowledge.
- Mixed methods design
- Antibiotic prescribing
- Primary care
Prescribing of antibiotics for common infections varies widely between different countries in Europe, and Sweden is one of the countries where antibiotic prescribing is lowest measured as prescriptions/1000 inhabitants per year .
In Sweden the prescribing, especially for respiratory tract infections (RTIs), varies among counties , between different primary health care centres (PHCCs) , and between individual doctors , but there is no medical explanation for the variation . The wide variation in prescribing of antibiotics suggests that guidelines for treatment of common infections are not implemented everywhere.
Strama (the Swedish strategic programme against antibiotic resistance) has worked for a more rational use of antibiotics in Sweden during the last 20 years and through local Strama groups have reduced prescribing of antibiotics both nationally and regionally. Different professions have cooperated in the matter and the prescribing of antibiotics has declined sharply in ambulatory care [2, 6]. Since the year 2000, Strama together with the Medical Product Agency (MPA) have developed guidelines for the diagnosis and treatment of common infections. The guidelines have been disseminated through mailings to the health centres, articles in the Swedish Medical Journal, presentations at national and local meetings and through out-reach visits to the health centres by members of the local Strama groups in each of the 21 counties.
The availability of established guidelines for diagnosis and treatment is seen as a prerequisite for reducing variation in medical practice, especially in modern health care . Modern health care is a complex system, where several factors of importance for the dissemination of knowledge have been identified: the individual professional caregiver, the patient, the professional interaction and organization, including leadership and support systems , and it is in the daily conversations that learning and practices develop .
In an international perspective, Swedish primary health care has unique features. PHCCs are often organized as group clinics with a limited budget for salaries for all staff, general practitioners (GPs) included, samples and medications. Significant is the close collaboration between nurses and GPs. Telephone counselling is often the first step when the patient needs medical advice or a doctor’s assessment.
Systematic reviews have highlighted factors that may influence the prescribing of antibiotics, for example socio-demographic factors of the doctors, their attitudes, patient characteristics and factors related to health care organization, and they conclude that antibiotic prescribing is a complex process [9, 10]. Near-patient testing has been discussed as a way to reduce uncertainty and improve the physician’s diagnosis in respiratory tract infections in ambulatory care. Near-patient tests are extensively used in Sweden  but there are divergent results from studies of their effect on antibiotic prescribing [12–19]. It is unclear how factors interact and how the organization and collaboration within the PHCC affect diagnostic procedures and the prescribing of antibiotics. There are no empirical studies of the interaction between these factors.
The aim of this study was to explore and understand interactions between factors influencing antibiotic prescribing for RTIs in primary care, with special focus on PHCCs with low antibiotic prescribing.
During January and February 2014 we studied six PHCCs in three different regions in Sweden. From each region we chose one PHCC with low and one with high prescribing levels compared to the average in the county in the first half of 2013. By studying both types of PHCCs, we expected to gain an understanding of conditions and factors influencing antibiotic prescribing for RTIs, even though the focus of the study was on health centres with low prescribing.
To arrive at an understanding of how these factors interact, we chose a mixed methods design. Our mixed methods design was guided by the Triangulation Design Model according to Creswell both in the design and the analysis of the study [20–22]. The collection of the quantitative and qualitative data was simultaneous and the presentation of the findings from the different sources was integrated in the results and discussion sections. Quantitative data were collected through prescription statistics, questionnaires to patients, and GPs’ audit registrations according to the Audit Project Odense (APO) method . Qualitative data were collected through observations and semi-structured interviews. Observations contribute to visualizing the gap between people’s attitudes and their actions [24, 25]. Observations and interviews were conducted by the same researchers.
A questionnaire survey was performed during the study period. All patients (or legal guardians for children younger than 15 years) with symptoms of RTIs were asked to answer the questionnaire before their consultation with the doctor. Those who had difficulties understanding Swedish were excluded. Questions were asked about age, sex, other diseases, expectations and other questions related to the visit.
Audit registrations were performed by the GPs for each visit for RTIs. Symptoms, sampling, diagnoses and antibiotic treatment as well as the clinical assessment of the severity of the RTI were noted prospectively and consecutively, in accordance with the APO method, which can neither be defined as strictly quantitative nor qualitative. The APO method is a voluntary process with the aim to audit GPs’ own clinical work proceeding from the question, ‘are we doing the right thing in the right way?’.
Observations were performed by six researchers, one GP and one social scientist in each region. During the study period we performed direct observations of the patient’s way through the PHCC. We observed the interaction between patients and employees, the routines of the PHCC concerning RTIs at different work units: telephone counselling, in the reception, the doctor’s surgery, nurse reception, and at different workplace meetings. We also observed the clinical treatment of three different RTI cases: sore throat, pain in the ear and patients with cough where an infection was suspected. All observations were documented as reflective field notes directly after the observation .
Interviews - distribution of participants
The different data were compiled and analysed for each participating PHCC. The quantitative data were analysed by descriptive statistics and the categorical variables were presented as proportions. In comparisons Chi-square test or Fisher’s exact test were used.
For the qualitative data we used qualitative content analysis, an editing analysis style according to Crabtree and Miller . We analysed both the transcribed interviews and the field notes from each observation. The data were organized in categories and themes, predefined as well as newly emerging from the data.
In the next steps, we identified the common traits for the three low-prescribing PHCCs and for the three high-prescribing PHCCs and compared those with each other. This paper presents the characteristics of the low-prescribing PHCCs.
When comparing the PHCCs, the research group used a mixed inductive and deductive approach that built on knowledge gained from the literature on high-performing organizations . The qualitative analysis was performed manually. The results were discussed in the research group until consensus was achieved.
The research team visited each PHCC with feedback on the results of the specific PHCC, which gave all GPs and nurses an opportunity to reflect on the findings, thereby enhancing the validity of our findings.
Description of the Primary Health Care Centres with low and high antibiotic prescribing during 2013
Low antibiotic prescription PHCC
High antibiotic prescription PHCC
Mean number of GPs (range)
Mean number of nurses (range)
Mean number of listed patients 31 December 2013
Mean number of telephone instructions/1000 listed patients
Mean number of visits/1000 listed patients
Mean number of visits/GP
Mean number of listed patients/GP
Factors influencing antibiotic prescribing – Subcategories, Categories and Theme
Dedicated Chief/Medical adviser
Promoting management and leadership – facilitating structure
Common practice in line with guidelines
Promoting evidence-based practice
The organization’s inner work
Professional discussions – within and between professions
Local processing – Internalization of guidelines
Informal opinion moulders
GP’s diagnostic process
Standardized nurse triage
Routines and procedures
Perceived patient expectation
A common practice in line with guidelines
Each main factor was of great importance in the process of achieving a common practice in line with guidelines for RTIs and antibiotic prescribing. The factors could be viewed as cogwheels that lock together in a constant process where internal discussions and continuous professional development activities are 'lubricants' to keep it going. The whole process was supported – and to some extent also controlled – by the manager.
In the three PHCCs with a high prescribing rate and low adherence to guidelines for RTIs, the conditions were reversed. They lacked several of the components demonstrated in Fig. 2, which led to a diverse practice.
Promoting management and leadership – facilitating structure
“Really important that I am engaged in how we work and that we have good routines and a good structure, so I feel that that is valuable. And I.. what I.. the signals I give to the staff show that I care too about how they prescribe and how they work with infections.” (Manager)
Several GPs expressed a desire to be able to collect data on prescribing themselves. (Observations, interviews)
From the observations and interviews we also noted that access to, and encouragement of, regular and planned education was typical for the low-prescribing PHCCs but not for the high-prescribing ones.
Local processing – Internalization of guidelines
“But he is after all the one with the knowledge and the authority that he has, and the wisdom too. So it’s like this … everyone listens to what he says, mostly, because he has wise things to say.” (Manager)
Individual feedback on prescribing behaviour, together with professional discussions, was essential both for maintaining and developing a low prescribing of antibiotics for RTIs (Prescribing statistics, interviews, audit). Patients sometimes said one thing to the nurse on the phone and another in the personal meeting with the GP. Feedback between GPs and nurses on the severity of the infection seemed more frequent in the low-prescribing PHCCs (Observations, interviews).
GP’s diagnostic process
“Well, it has been said … if we are to consider treatment, you must have a positive RADT too.” (Doctor)
“I never take a RADT without having set up these criteria first, you know, because taking a RADT with no grounds, that’s totally crazy.” (Doctor)
The GP’s assessment of the severity of the infection, near-patient testing, antibiotic prescriptions and diagnoses
Low antibiotic prescription PHCC
High antibiotic prescription PHCC
n = 128
n = 126
Assessment of the severity of the infection
RADT – Strep A
Acute media otitis
Standardized nurse triage
Telephone triage by a nurse or sometimes also by a doctor was a prioritized task at PHCCs where prescribing of antibiotics was low. Characteristic for such PHCCs was that there were special routines for nurse triage. Patients were passed through after a first contact with a nurse, often by telephone. When a patient or a parent called the PHCC for an RTI, the nurse had an important role assessing whether the patient could manage with self-care advice or if a GP consultation was necessary. If the nurse believed that self-care advice was not enough, the nurse gave the patient a consultation with one of the permanent doctors and not the locums. (Observations, interviews)
“our role is rather important, precisely to inform about self-care in situations where self-care is the thing to do and there both the triage handbook and the Strama guidelines are fairly clear and easy to follow, but of course there are exceptions where you … and then I think that children are the most difficult and elderly people with multiple diseases of course too.” (Nurse)
“But there the nurse has an important role in being able, well, at least making sure that only those come … that it’s the right patients who come, that those who don’t need to come don’t come.” (Manager)
Patients’ reports of knowledge, duration of symptoms and expectations
Low antibiotic prescribing PHCC
High antibiotic prescribing PHCC
n = 71 (%)
n = 120 (%)
It was easy to get an appointment with the GP?
I know if I need an antibiotic prescription
Have confidence in your doctor’s decision not to prescribe antibiotics
Antibiotics help against bacteria
Antibiotics help against virus
Antibiotics speed the healing of cold
Coloured mucus needs antibiotics
Cough that has lasted long needs antibiotics
How long have you had trouble?
>1 week < 3
3 weeks or more
Expectation of today’s visit
get an evaluation
that tests are taken
get something soothing
get sick leave
In PHCCs where prescribing of antibiotics was low, nurses and GPs expressed that patients do not want unnecessary antibiotic treatments but rather good advice about how to treat the infection. Of all patients, 24% were expecting to receive an antibiotic prescription. Significantly more of these were visiting the low-prescribing PHCCs. Most of the patients answering the questionnaire knew that antibiotics were effective against bacteria and almost half of them thought they were effective against viruses (Table 5). (Prescribing statistics, interviews, audit, patient survey)
“people are so aware today that you shouldn’t take it [antibiotics] unnecessarily and the development of resistance and so on, so I don’t think so. We don’t have that type of patients here who demand antibiotics, I don’t think so.” (Nurse)
From the analysis of the data from the different sources an overall theme emerged: A common practice in the PHCC is crucial for low antibiotic prescribing in line with guidelines. Several factors contribute such as promoting management and leadership, internalized guidelines, the GP’s diagnostic process, nurse triage, and patient expectation. These factors were closely related and influenced each other.
The results also showed that new knowledge was internalized both in the PHCC as a whole and in all members of the staff. The guidelines were normative for the group as well as for every individual in the group.
The mixed methods design enabled us to get as complete a picture as possible of the studied PHCCs. Six PHCCs might seem too few, but with the mixed methods design we have obtained abundant data. One difficulty was to get an overview of all research data. A remedy was separate steps of the analysis and the fact that the researchers had different research experience. The analysis with both inductive and deductive elements as well as the descriptive statistics from the patient survey and the audit increased the validity of the results.
The observations gave an idea of the local culture at the PHCC as well as relations and interaction between the employees. Through the observations we reached an understanding of what actually happened between the patients and the staff on their way through the PHCC, although compared to ethnographic research the study period was relatively short. We believe this was outweighed by the presence of more than one observer.
The study period would normally have been a high season for respiratory tract infections, but during 2014 the infection season appeared later than usual and therefore there were fewer patients with RTIs than expected. Additionally, there were sometimes difficulties convincing the patients about the importance of answering the questionnaire and sometimes the receptionists forgot or did not have the time to hand them out. Due to the low numbers in both the patient survey and the audit, the data must be interpreted with caution when standing alone, but when aggregated with data from the interviews and observations the findings were strengthened.
We focused specifically on what happened at the low-prescribing PHCCs, even though we also collected data from high-prescribing PHCCs. Those were collected in order to mirror the low-prescribing PHCCs and to achieve a better understanding of factors influencing antibiotic prescribing for RTIs in primary health care.
The organization of Swedish PHCCs as group clinics implies that the findings of this study must be interpreted with reservations in an international perspective where group clinics are less common.
Comparison with existing literature
A common practice
Previous studies have shown that new knowledge will be used in clinical practice, when transformed through continuous discussions among staff. New knowledge must be applicable and meaningful in the local context and its credibility is tested in a learning process [8, 29]. Such a process requires forums and opportunities for discussions. Low-prescribing PHCCs had set aside time for regular meetings for medical issues and prioritized training, within and between professions, which enabled this process.
This study identified the leadership as a crucial factor for low antibiotic prescribing. The leadership must provide structural conditions and encouragement for inter-professional collaboration in order to achieve a common practice in keeping with guidelines. This is in line with the conclusions of two recent studies [28, 30]. In the present study the management strove for a common goal using feedback and active discussion regarding antibiotic prescribing. At low-prescribing PHCCs, GPs were also acting as explicit local opinion moulders, an important function for knowledge translation . Organizational readiness for change is also of importance. Unfortunately according to a systematic review from 2014 , practically no instruments have been developed for assessing organizational readiness for knowledge translation in health care. Developing such instruments might be a subject for future research. Our findings strengthen that the Strama model is a successful way of working. Strama contributes to enhanced discussions among different professions about antibiotic use for RTIs and supports the importance of feedback. Feedback helps to show that you do not always do what you think and therefore can stimulate behaviour change .
In our study, all PHCCs were given feedback on the health centre’s prescribed antibiotics every three months. At the low-prescribing PHCCs these data were discussed at staff meetings. According to the interviews, GPs would need easier access to a relevant presentation of their own prescribing data.
Several reviews have stressed well-functioning inter-professional collaboration as an important condition for knowledge dissemination and evidence-based practice [7, 33]. In this study the collaboration between nurses and GPs appeared particularly important. The nurses’ triage to either self-care or appointment to the GP was decisive for which patients were offered an appointment. Some studies have shown that fruitful collaboration between GPs and nurses is based on professional respect and confidence in each other’s professional competence [34, 35]. These conditions were present in the low-prescribing PHCCs. There was also a consensus that most infections are self-limiting and for those patients self-care was the first choice. Consequently these patients, not in need of an appointment, escape unnecessary testing and antibiotic treatment. Thus, correct triage is an important factor behind low antibiotic prescribing.
The patients had generally good knowledge of antibiotics. Most of the patients answering the questionnaire knew that antibiotics were effective against bacteria and less than half of them thought they were effective against viruses. This proportion is in line with an earlier Swedish study and better than in a Spanish study [36, 37].
More patients in the low-prescribing PHCCs expected antibiotics compared to patients in the high-prescribing PHCCs. A probable explanation might be that the nurses at the low-prescribing PHCCs had selected patients with respiratory infections who might benefit from antibiotic treatment according to guidelines. However, the GPs at low-prescribing PHCCs rated most infections as mild while GPs at high-prescribing PHCCs more often classified the respiratory tract infection as moderate. The more common use of bacterial diagnoses among the high prescribers compared to low prescribers has been shown earlier [38, 39]. The different assessment of the severity of the infection in our study, together with the different proportions of diagnoses requiring antibiotic treatment, may thus be seen as a way to retrospectively legitimize prescribing of antibiotics. The individual prescribing patterns may have greater significance than the clinical picture for treatment decisions, consistent with previous studies . In our study, one third of the patients were treated with antibiotics, which is lower than in most international studies [38, 41].
There has been a paradigm shift regarding the management of infections over the past 20 years, from an earlier approach according to which all infections of probable bacterial aetiology had to be treated with antibiotics, to a more modern policy of treating with antibiotics only if there is evidence for benefit [42, 43]. The earlier approach reappeared in several interviews, especially in the high-prescribing PHCCs. Moreover, our study showed that high-prescribing PHCCs also used near-patient tests (both RADT and CRP) to a higher degree than low-prescribing PHCCs. Thus, high use of rapid near-patient tests may be associated with high prescribing of antibiotics. This result differs from previous studies where the use of antibiotics decreased after these tests were introduced . The differences may be due to a different prescribing pattern than in Sweden, or that the tests were introduced with clear and specific guidelines for their use. The result in our study is in line with others indicating that the use of RADT and CRP not according to guidelines increases the risk of overtreatment with antibiotics [11–15].
In PHCC with low antibiotic prescribing some important factors were observed. Guidelines were adapted and transformed into a common practice within the staff at the PHCC, not only the GPs. Nurses’ triage in the telephone played an important role in daily practice. Encouragement from the manager stimulated inter-professional discussions concerning antibiotic prescribing and informal opinion moulders talking about antibiotic prescribing were supported by the managers. Near-patient tests were used in accordance with the guidelines. Moreover, routines and IT systems were adapted in a way that enabled GPs themselves to access prescribing data easily from registers as a basis for professional discussions. Finally, continuous professional development activities were encouraged for everyone to be able to have up-to-date knowledge. All these factors were interacting in the PHCC with low antibiotic prescribing and the managers need to facilitate them. The factors also have to be taken into account when making interventions to rational antibiotic use.
APO, Audit Project Odense; CRP, C-Reactive Protein; GP, General Practitioner; MPA, Medical Product Agency; PHCC, Primary Health Care Centre; RADT, Rapid Antigen Detection Test; RTI, Respiratory Tract Infection; Strama, Swedish strategic programme against antibiotic resistance
Special thanks to Ingvar Ovhed for his help with the audit and Lena Lennartsson for her excellent transcribing of the interviews.
The project was funded by grants from the Public Health Agency of Sweden. The funding body had no role in the design and implementation of the study, nor in writing the manuscript.
Availability of data and materials
Since sharing of data was not included in the approval from the ethics committee or the informed consent from participants, data will not be made public.
Conceived and designed the study: ELS, AB, MA, HG, SM, KH. Performed the interviews and observations: ELS, AB, MA, HG, KH. Data analysis: ELS, AB, MA, HG, KH. Wrote the paper: ELS, AB, KH. Commented and contributed to the final manuscript: ELS, AB, MA, HG, SM, KH. All authors have read and approved the final version of the manuscript.
The authors declare that they have no competing interests.
Consent for publication
Not applicable. The manuscript does not contain any individual person’s data.
Ethics approval and consent to participate
The study conforms to the principles outlined in the Declaration of Helsinki and was approved by the Regional Ethical Review Board in Lund, Sweden (2013/679). Participation was voluntary. All participants in the different data sources gave their written informed consent to participate by replying to a written invitation. All data were treated confidentially and could not be traced to any named person. Since sharing of data was not included in the approval from the ethics committee or the informed consent from participants, data will not be made public.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
- Adriaenssens N, Coenen S, Versporten A, Muller A, Minalu G, Faes C, et al. European Surveillance of Antimicrobial Consumption (ESAC): outpatient antibiotic use in Europe (1997-2009). J Antimicrob Chemother. 2011;66 Suppl 6:vi3–vi12.PubMedGoogle Scholar
- Hellman J, Aspevall O, Bengtsson B, Greko C, editors. Swedres-Swarm 2013. Use of antimicrobilas and occurence of antimicrobial resistence in Sweden. Solna/Uppsala: Public Health Agency of Sweden and National Veterinary Institute; 2013.Google Scholar
- Nord M, Engström S, Mölstad S. Variation in antibiotic prescription of antibiotics in Primary Health Care (Mycket varierande förskrivning av antibiotika i primärvården. Låg följsamhet til riktlinjer vid halsinfektiner, visar diagnosbaserade data). Lakartidningen. 2013;110:1282–4.PubMedGoogle Scholar
- Gjelstad S, Dalen I, Lindbaek M. GPs’ antibiotic prescription patterns for respiratory tract infections--still room for improvement. Scand J Prim Health Care. 2009;27:208–15.View ArticlePubMedPubMed CentralGoogle Scholar
- Hedin K, Andre M, Hakansson A, Molstad S, Rodhe N, Petersson C. A population-based study of different antibiotic prescribing in different areas. Br J Gen Pract. 2006;56:680–5.PubMedPubMed CentralGoogle Scholar
- Molstad S, Erntell M, Hanberger H, Melander E, Norman C, Skoog G, et al. Sustained reduction of antibiotic use and low bacterial resistance: 10-year follow-up of the Swedish Strama programme. Lancet Infect Dis. 2008;8:125–32.View ArticlePubMedGoogle Scholar
- Flottorp SA, Oxman AD, Krause J, Musila NR, Wensing M, Godycki-Cwirko M, et al. A checklist for identifying determinants of practice: a systematic review and synthesis of frameworks and taxonomies of factors that prevent or enable improvements in healthcare professional practice. Implementation science: IS. 2013;8:35.View ArticlePubMedPubMed CentralGoogle Scholar
- Gabbay J, Le May A, editors. Practice-based evidence for healthcare. Oxon: Routledge; 2011.Google Scholar
- Lopez-Vazquez P, Vazquez-Lago JM, Figueiras A. Misprescription of antibiotics in primary care: a critical systematic review of its determinants. J Eval Clin Pract. 2012;18:473–84.View ArticlePubMedGoogle Scholar
- Teixeira Rodrigues A, Roque F, Falcao A, Figueiras A, Herdeiro MT. Understanding physician antibiotic prescribing behaviour: a systematic review of qualitative studies. Int J Antimicrob Agents. 2013;41:203–12.View ArticlePubMedGoogle Scholar
- Grondal H, Hedin K, Strandberg EL, Andre M, Brorsson A. Near-patient tests and the clinical gaze in decision-making of Swedish GPs not following current guidelines for sore throat - a qualitative interview study. BMC Fam Pract. 2015;16:81.View ArticlePubMedPubMed CentralGoogle Scholar
- Burke P, Bain J, Lowes A, Athersuch R. Rational decisions in managing sore throat: evaluation of a rapid test. Br Med J (Clin Res Ed). 1988;296:1646–9.View ArticleGoogle Scholar
- Andre M, Schwan A, Odenholt I. The use of CRP tests in patients with respiratory tract infections in primary care in Sweden can be questioned. Scand J Infect Dis. 2004;36:192–7.View ArticlePubMedGoogle Scholar
- Cals JW, Butler CC, Hopstaken RM, Hood K, Dinant GJ. Effect of point of care testing for C reactive protein and training in communication skills on antibiotic use in lower respiratory tract infections: cluster randomised trial. BMJ. 2009;338:b1374.View ArticlePubMedPubMed CentralGoogle Scholar
- Neumark T, Brudin L, Molstad S. Use of rapid diagnostic tests and choice of antibiotics in respiratory tract infections in primary healthcare--a 6-y follow-up study. Scand J Infect Dis. 2010;42:90–6.View ArticlePubMedGoogle Scholar
- Llor C, Madurell J, Balague-Corbella M, Gomez M, Cots JM. Impact on antibiotic prescription of rapid antigen detection testing in acute pharyngitis in adults: a randomised clinical trial. Br J Gen Pract. 2011;61:244–51.View ArticleGoogle Scholar
- Pulcini C, Pauvif L, Paraponaris A, Verger P, Ventelou B. Perceptions and attitudes of French general practitioners towards rapid antigen diagnostic tests in acute pharyngitis using a randomized case vignette study. J Antimicrob Chemother. 2012;67:1540–6.View ArticlePubMedGoogle Scholar
- Huang Y, Chen R, Wu T, Wei X, Guo A. Association between point-of-care CRP testing and antibiotic prescribing in respiratory tract infections: a systematic review and meta-analysis of primary care studies. Br J Gen Pract. 2013;63:e787–94.View ArticlePubMedPubMed CentralGoogle Scholar
- Little P, Stuart B, Francis N, Douglas E, Tonkin-Crine S, Anthierens S, et al. Effects of internet-based training on antibiotic prescribing rates for acute respiratory-tract infections: a multinational, cluster, randomised, factorial, controlled trial. Lancet. 2013;382:1175–82.View ArticlePubMedPubMed CentralGoogle Scholar
- Yin RK. Case Study Research. Design and Methods. London: Sage; 1989.Google Scholar
- Creswell JW, Fetters MD, Ivankova NV. Designing a mixed methods study in primary care. Ann Fam Med. 2004;2:7–12.View ArticlePubMedPubMed CentralGoogle Scholar
- Klassen AC, Creswell J, Plano Clark VL, Smith KC, Meissner HI. Best practices in mixed methods for quality of life research. Qual Life Res. 2012;21:377–80.View ArticlePubMedGoogle Scholar
- Strandberg E. Developing General Practice: The Role of the APO Method. Malmö: Lund University; 2008.Google Scholar
- Gobo G. Ethnography. In: Silverman D, editor. Qualitative Research. 3rd ed. London: Sage; 2011.Google Scholar
- Baszanger I, Dodier N. Ethnography: Relating the Part to the Whole. In: Silverman D, editor. Qualitative Research: Theory, Method and Practice. London: Sage; 1997.Google Scholar
- Hammersley M, Atkinson P. Ethnography: Principles in Practice. 3rd ed. Oxon: Routledge; 2007.Google Scholar
- Miller W, Crabtree B. Primary Care research: a multi method typology and qualitative road map. In: Crabtree B, Miller W, editors. Doing Qualitative Research: Research methods for Primary Care, vol. 3. Newbury Park: Sage publications; 1992.Google Scholar
- Beaulieu MD, Geneau R, Del Grande C, Denis JL, Hudon E, Haggerty JL, et al. Providing high-quality care in primary care settings: how to make trade-offs. Can Fam Physician. 2014;60:e281–9.PubMedPubMed CentralGoogle Scholar
- Greenhalgh T. What is this knowledge that we seek to “exchange”? Milbank Q. 2010;88:492–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Tubbesing G, Chen FM. Insights from exemplar practices on achieving organizational structures in primary care. Journal of the American Board of Family Medicine : JABFM. 2015;28:190–4.View ArticlePubMedGoogle Scholar
- Grimshaw JM, Eccles MP, Lavis JN, Hill SJ, Squires JE. Knowledge translation of research findings. Implementation science : IS. 2012;7:50.View ArticlePubMedPubMed CentralGoogle Scholar
- Gagnon MP, Attieh R, Ghandour El K, Legare F, Ouimet M, Estabrooks CA, et al. A systematic review of instruments to assess organizational readiness for knowledge translation in health care. PLoS One. 2014;9:e114338.View ArticlePubMedPubMed CentralGoogle Scholar
- Brennan SE, Bosch M, Buchan H, Green SE. Measuring team factors thought to influence the success of quality improvement in primary care: a systematic review of instruments. Implementation science : IS. 2013;8:20.View ArticlePubMedPubMed CentralGoogle Scholar
- Pullon S. Competence, respect and trust: key features of successful interprofessional nurse-doctor relationships. J Interprof Care. 2008;22:133–47.View ArticlePubMedGoogle Scholar
- Schadewaldt V, McInnes E, Hiller JE, Gardner A. Views and experiences of nurse practitioners and medical practitioners with collaborative practice in primary health care - an integrative review. BMC Fam Pract. 2013;14:132.View ArticlePubMedPubMed CentralGoogle Scholar
- Andre M, Vernby A, Berg J, Lundborg CS. A survey of public knowledge and awareness related to antibiotic use and resistance in Sweden. J Antimicrob Chemother. 2010;65:1292–6.View ArticlePubMedGoogle Scholar
- Cals JW, Boumans D, Lardinois RJ, Gonzales R, Hopstaken RM, Butler CC, et al. Public beliefs on antibiotics and respiratory tract infections: an internet-based questionnaire study. Br J Gen Pract. 2007;57:942–7.View ArticlePubMedPubMed CentralGoogle Scholar
- van Duijn HJ, Kuyvenhoven MM, Tiebosch HM, Schellevis FG, Verheij TJ. Diagnostic labelling as determinant of antibiotic prescribing for acute respiratory tract episodes in general practice. BMC Fam Pract. 2007;8:55.View ArticlePubMedPubMed CentralGoogle Scholar
- Howie JG. Diagnosis--the Achilles heel? J R Coll Gen Pract. 1972;22:310–5.PubMedPubMed CentralGoogle Scholar
- De Sutter AI, De Meyere MJ, De Maeseneer JM, Peersman WP. Antibiotic prescribing in acute infections of the nose or sinuses: a matter of personal habit? Fam Pract. 2001;18:209–13.View ArticlePubMedGoogle Scholar
- Welschen I, Kuyvenhoven M, Hoes A, Verheij T. Antibiotics for acute respiratory tract symptoms: patients’ expectations, GPs’ management and patient satisfaction. Fam Pract. 2004;21:234–7.View ArticlePubMedGoogle Scholar
- Cosby JL, Francis N, Butler CC. The role of evidence in the decline of antibiotic use for common respiratory infections in primary care. The Lancet Infect Dis. 2007;7:749–56.View ArticlePubMedGoogle Scholar
- Bradley CP. Taking another look at the acute sore throat. Br J Gen Pract. 2000;50:780–1.PubMedPubMed CentralGoogle Scholar