Family Practice 2013; 30:325–331 doi:10.1093/fampra/cms076 © The Author 2012. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: [email protected]. Advance Access publication 11 December 2012 Using qualitative research to inform development of a diagnostic algorithm for UTI in children Isabel de Salis*, Penny Whiting, Jonathan A C Sterne and Alastair D Hay School of Social and Community Medicine, University of Bristol, Bristol, UK. *Correspondence to Isabel de Salis, School of Social and Community Medicine, University of Bristol, Canynge Hall, 39 Whatley Road, Bristol BS8 2PR, UK; E-mail: [email protected] Received 18 May 2012; Revised 22 October 2012; Accepted 10 November 2012. Background. Diagnostic and prognostic algorithms can help reduce clinical uncertainty. The selection of candidate symptoms and signs to be measured in Case Report Forms (CRFs) for potential inclusion in diagnostic algorithms needs to be comprehensive, clearly formulated and relevant for end users. Objective. To investigate whether qualitative methods could assist in designing CRFs in research developing diagnostic algorithms. Specifically, the study sought to establish whether qualitative methods could have assisted in designing the CRF for the Health Technology Association funded Diagnosis of Urinary Tract infection in Young children (DUTY) study, which will develop a diagnostic algorithm to improve recognition of urinary tract infection (UTI) in children aged <5 years presenting acutely unwell to primary care. Methods. Qualitative methods were applied using semi-structured interviews of 30 UK doctors and nurses working with young children in primary care and a Children’s Emergency Department. We elicited features that clinicians believed useful in diagnosing UTI and compared these for presence or absence and terminology with the DUTY CRF. Results. Despite much agreement between clinicians’ accounts and the DUTY CRFs, we identified a small number of potentially important symptoms and signs not included in the CRF and some included items that could have been reworded to improve understanding and final data analysis. Conclusions. This study uniquely demonstrates the role of qualitative methods in the design and content of CRFs used for developing diagnostic (and prognostic) algorithms. Research groups developing such algorithms should consider using qualitative methods to inform the selection and wording of candidate symptoms and signs. Keywords. Algorithm, methodological study, qualitative research, urinary tract infections. in the design of the CRF could ensure that relevant (and contentious features) arising within daily practice, probably unbeknown to experts in the field, are covered in the CRF, thereby improving an algorithm’s uptake and its ultimate impact. To our knowledge, formal qualitative research methods have not been used to inform the CRF in diagnostic or prognostic algorithm development. We therefore conducted a retrospective investigation to see how qualitative methods could have assisted the design of a CRF for the Diagnosis of Urinary Tract infection in Young children (DUTY) study,2 which will develop a diagnostic algorithm to improve recognition of urinary tract infection (UTI)3 in children aged <5 years. Our objective was to identify the clinical features that clinicians believe to be useful in diagnosing UTIs and to compare these with the symptoms and signs included in the CRF. Introduction There is growing interest among researchers and clinicians regarding the potential for diagnostic and prognostic algorithms to reduce clinical uncertainty. Study groups developing diagnostic and prognostic algorithms first need to decide the symptoms and signs that could be relevant for their algorithm and how they should be measured in the Case Report Form (CRF). Selection of candidate symptoms and signs are generally determined through previous evidence from the literature, research team debate and consensus among experts leading the research. However, such processes alone may not lead to comprehensive coverage of important items and selected symptom or sign terminology may not always be recognizable to patients and carers. Furthermore, uptake of algorithms in clinical practice is known to be poor.1 Using a range of clinicians 325 326 Family Practice—The International Journal for Research in Primary Care Methods Semi-structured interviews were conducted by the first author (IdeS) with clinicians responsible for the management of acutely unwell pre-school children in National Health Service walk-in centres, general practices and a Children’s Emergency Department (CED) in South West and North West England. Clinicians were recruited via contacts within the University of Bristol, Academic Unit of Primary Health Care and the DUTY study and they were purposively sampled to include varied clinical settings, experience, role and research interests. Interviews were structured around a topic guide to ensure coverage of key issues in diagnosing childhood UTIs: symptoms, signs, tests, diagnosis and management. This was used flexibly to allow unanticipated themes to emerge, and clinicians were encouraged to draw on experience rather than reproduce textbook accounts. The study had ethics approval [South West 3 Research Ethics Committee: 09/HO106/85] and interviewees gave written informed consent for publishing anonymized quotes. Interviews lasted between 30–40 minutes and were audio recorded and transcribed. Transcripts were anonymized and checked for misunderstandings or transcription errors. Analysis was thematic:4 key themes were developed and then compared across the data set with attention to clinical role and active involvement in the DUTY study. Data familiarization was facilitated by Nvivo software. Coding was guided by the topic guide, original research questions and emergent issues in the data. Areas of potential disagreement and lack of consensus were sought. Codes were cross-checked and key themes developed and refined by two team members (IdeS and ADH). Emergent themes were pursued in subsequent interviews, some developing into key themes and others losing importance. Towards completion of data collection, findings were discussed with the whole team. Clinical features were ranked according to number of clinicians reporting them and their accredited importance in interview. Credence was given to all features regardless of how often mentioned but considering clinicians’ level of experience. Findings were compared with the content of the DUTY CRF. The DUTY study, which began in 2010 in four centres in England and Wales, recruited acutely ill children presenting to primary and emergency care who were systemically unwell for <28 days. The CRF (see Supplementary material) was completed by the recruiting nurse or officer and the clinician responsible and consisted of five sections: eligibility criteria; participant registration; severity of the condition, symptoms and medical history; results of physical examination, working diagnosis and planned management; and method of urine collection and dipstick results. Results We interviewed 30 clinicians working in nine inner-city practices serving a range of socio-demographic areas; three walk-in centres; one suburban practice; seven town practices (three rural, four peri-urban); and a Children’s Emergency Department (CED). Practices served populations ranging between 2000 and 15 000 patients. There were 10 nurse practitioners (NPs), 10 GPs, 5 CED nurses and 5 CED doctors, all actively diagnosing UTIs in pre-school children (Table 1). Two were interviewed by telephone; the other 28 had face-to-face interviews. Table 1 Characteristics of clinicians interviewed during the study Clinical role N Research and training Nurse practitioners 10 Paediatric specialist (1) GPs 10 Research role (7) Research role in paediatrics (1) CED nurses 5 CED doctors 5 Staff nurses (4) Emergency NP (1) Paediatric ED Consultant (1) ED Consultant (1) Trainees (3) Number of acutely unwell children seen per week Qualifying dates Number of clinicians involved in recruitment to DUTY study <5 (2) 5–9 (5) 10–15 (2) >15 (1) <5 (4) 5–9 (8) 10–15 (6) >15 (2) 70–100 50–60 ~50 <15 20–40 1980s (5) 1990s (5) 4 1970s (2) 1980s (10) 1990s (8) 1 0 1970s (1) 1980s (1) 1990s (2) 2000 + (6) 0 CED, Children’s Emergency Department; ED, Emergency Department; GP, General Practitioner; NP, Nurse Practitioners; DUTY, Diagnosis of Urinary Tract infection in Young children. (N) refers to number of clinicians. Qualitative research in development of a diagnostic algorithm for UTI Clinicians identified a broad range of clinical signs and symptoms as potentially useful for ruling in and ruling out UTIs. Table 2 summarizes the clinical features identified by clinicians as helpful in diagnosing childhood UTI compared to the DUTY CRF. Some highlighted that several symptoms and signs often thought diagnostic for UTI may be unreliable or insufficiently specific in young children, e.g. dysuria, vomiting, abdominal pain and tenderness (primary care clinicians), whereas at other times, they focused on the optimal wording used to capture the essence of the symptom: Everybody’s pretty aware of signs and symptoms as an adult but with children I think, if I’ve got a bit of tummy pain it could be from anywhere, head to toe really… So I do think they can be difficult from that point of view and yeah I think they do need much more questioning. (NP5: DUTY [recruiting to DUTY study]) The following features were identified as helpful in suggesting a diagnosis of UTI but were not included in the DUTY CRF. Some features were additional signs and symptoms: history of febrile convulsions (2 clinicians), differing presentations of dysuria in UTI (5), absence of sore genitalia (4), decreased urinary frequency (4), not drinking fluids (6), absence of history of infectious contacts (4), change in urine colour (3) and back pain (3). Other features were qualifiers to existing signs and symptoms: fluctuating fever (3), parental measurement of fever (4), direct elicitation of symptoms disproportionate to the attributed cause (6), persistent dysuria (1), urinary appearance assessed by clinician (2), persistent vomiting (3), cross-checking parental meaning of terms ‘vomiting’ (1) and ‘diarrhoea’ (2). Further elaboration is provided in the following sections. Fever: presentation and measurement Clinicians noted that they thought UTI fever was often high and fluctuating (especially at night) and can be accompanied by convulsions. So a fever that peaks, troughs over a couple of days…Parents have said well you know, there’s a fever, then it went down and then today it’s gone up… I just think that as a whole really, leads you to think of (UTI). (NP2: non-DUTY [not recruiting to DUTY study]). They reported carefully questioning parents about the nature and severity of fever and how it had been assessed: But you might not get a fever at the time you actually saw the child so you have to listen to the parents carefully on that one. We could talk about fever quite a lot if you like because there’s quite a problem here because most people don’t seem to 327 have thermometers….And so people assume that if the child feels hot they have a fever, and that’s often the case, but... So we’re talking about taking a careful history and I am quite careful. (GP 3: non-DUTY) Symptoms disproportionate to the attributed cause Clinicians noted that a typical UTI presentation was degree of fever or unwellness being greater than the attributed cause. And then there’s these things that just come with experience if a child looks ill. Disproportionately ill. Again, the problem with upper respiratory tract infection, which most of these are, is that you can almost persuade yourself that any child’s got an upper respiratory tract infection, a bit of a pink ear or a bit of a red throat. (GP4: non-DUTY) Say the parents were saying, ‘Oh he’s got a really snotty nose but actually the fever seems higher’, I would dip the urine then. (NP6: DUTY) Dysuria for ruling in and ruling out UTI UTI in younger children may not present as classic dysuria but by a child wanting to urinate in the bath, crying followed by a wet nappy or vaginal itching. Ensuring the persistency of dysuria is helpful for ruling in UTI. In young children, the symptom of dysuria may be caused by concentrated urine or sore genitalia: But one of the things I learnt at outpatients is that I think the dysuria and frequency especially in the little girls and in boys with balanitis can be because they’re sore, it is not because they’ve got cystitis it is because their vulva is sore. (CED DR5: non-DUTY) It’s important to ask how often, are they getting pain every time, or is it just a one-off, or and also to have a look and see if there’s anything there, which for this child it was, it was a small tear so it wasn’t a urinary tract infection. And if I hadn’t examined her I would have missed that, or if I hadn’t got more of a history. So mum saying about the stinging on passing urine, that kind of made me think well maybe she’s right, but actually on a bit more questioning it wasn’t, and on examination…I wouldn’t always examine the genital area, so maybe that’s worth doing. (NP1: non-DUTY) Urine appearance and reduced urinary frequency and fluid intake Some clinicians thought dry nappies could indicate UTI if a child avoids urinating or has reduced fluid intake. Clinicians, including all GPs, spontaneously commented on the significance of urinary appearance and smell, with doctors often disputing its significance: 328 Family Practice—The International Journal for Research in Primary Care Table 2 Clinical features identified as helpful in diagnosing childhood UTI compared to DUTY CRF Clinical feature Fever General fever Prolonged fever, i.e. >2–3 days Fluctuating (especially at night) Checked for history of fever If yes, checked how measured If used thermometer, asked reading Checked if analgesics used History of rigors (shaking, shivering) History of febrile convulsion UTI possible without fever >38° on examination Unwellness General unwellness (flat out, miserable, lethargic, irritable, grizzly, bit floppy, hanging about, listless, tearful, whinging, drowsy, unhappy, clingy, not themselves, off colour, unsettled, not talking, in pain) Chronicity >few days Repeat consultations/previously consulted GP More unwell than when normally ill/potentially toxic or septic Not feeding Not drinking fluids Failure to thrive Not sleeping well History of change in colour, pale Examination of colour (pale, mottled, flushed, clammy, change) Dehydrated on examination Symptoms disproportionate to the attributed cause Examination: not severe Urinary symptoms/signs Dysuria Alternative presentations of dysuria in UTI (e.g. child wanting to urinate in the bath, crying followed by a wet nappy, vaginal itching) Persistent (>once) Frequency increased Frequency decreased Newly incontinent/bed wetting History of blood in urine History of dark, offensive urine Check in clinic Heuristic/rule of thumb Fever, no focus/cause, think UTI Vomiting Vomiting Persistent vomiting/frequency Cross-checking parental understanding of term Without diarrhoea Abdominal symptoms/signs Abdominal pain And back pain Constipation Diarrhoea Cross-checking parental understanding of term Abdominal tenderness And back/loin/suprapubic tenderness Past medical history Renal disease, abnormality History of UTIs Symptoms/signs to exclude UTI History of infectious contacts (gastroenteritis and other viral) Clinical role (GP, NP, CEDDR, CEDN) Included in CRF All 8, 2, 1, 1 2, 1, 0, 0 3, 0, 0, 0 3, 1, 0, 0 3, 1, 0, 0 1, 2, 0, 0 2, 1, 2, 0 1, 0, 1, 0 3, 0, 1, 2 6, 6, 1, 1 Yes Yes No Yes No No Yes Yes No Yes Yes 10, 6, 4, 5 Yes 6, 4, 1, 3 4, 1, 0, 0 6, 2, 3, 3 7, 5, 3, 1 1, 4, 0, 1 1, 0, 0, 0 0, 1, 0, 0 1, 2, 0, 0 3, 3, 0, 2 3, 4, 4, 2 5, 1, 0,0 0, 0, 2, 1 Yes Yes Yes Yes No Yes Yes No Yes Yes Indirect1 Yes 7, 8, 4, 5 0, 4, 0, 1 Yes No 0, 1, 0, 0 2, 4, 1, 4 0, 3, 0, 1 7, 5, 1, 3 2, 0, 0, 2 10, 6, 4, 4 0, 1, 1, 0 No Yes No Yes Yes Yes No 8, 6, 4, 4 Yes 9, 4, 5, 3 2, 0, 1, 0 1, 0, 0, 0 3, 0, 2, 0 Yes No No Yes 7, 7, 2, 3 1, 1, 0, 1 0, 1, 0, 0 1, 0, 1, 0 1, 0, 1, 0 8, 3, 4, 1 1, 1, 2, 0 Yes No Yes Yes No Yes Yes 4, 4, 0, 0 6, 6, 1, 3 Yes Yes 3, 0, 1, 0 No 329 Qualitative research in development of a diagnostic algorithm for UTI Table 2 Continued Clinical feature Clinical role (GP, NP, CEDDR, CEDN) Upper respiratory tract (and ear, nose, throat) infections (cough, sneezing, red ear, ear pain, runny nose, snotty, pus in throat, cervical lymph nodes, tonsillitis) Lower respiratory tract infection (pneumonia, bronchiolitis. breathlessness, rapid breathing, wheezing) Gastroenteritis (diarrhoea and vomiting) Influenza (headache, miserable, achy) Meningitis (rash, limb pain, photophobia, drowsy) Viral illness (rash) Appendicitis/acute abdomen Dysuria caused by local irritation/soreness, not UTI Examination of genitalia for non-UTI dysuria Gender effect More common or less serious in females Included in CRF 10,8, 3, 5 Yes 4, 2, 4, 2 Yes 6,2, 4, 3 2, 0, 0, 0 7, 1, 4, 2 2,4, 1, 1 0, 1, 1, 0 0, 3, 1,0 0, 3, 1, 0 Yes Yes Yes Yes Yes Indirect2 No 2, 0, 1, 1 Yes GP, General Practitioner; NP, Nurse Practitioner; CEDDR, Emergency Doctor; CEDN, Emergency Nurse; CRF, Case Report Form. Indirect1: elicits indirectly through multiple questions; Indirect2: question on nappy rash. No and particularly not things like cloudy or smelly urine, because a lot of people think that means they’ve got a UTI and it doesn’t, your urine can be smelly because it is concentrated and I’ve seen the cloudier specimens come back negative. So I’ve learnt that over the years it’s often precipitants in the urine in the crystals that makes it cloudy not bugs. (CED DR5: non-DUTY) Others thought it helpful, some checking it themselves: Mum usually says urine is very dark or smelling very strong…You look at it, see if there’s anything in it, how dark it is, and when you test it you smell it. (NP10: non-DUTY) Vomiting All clinicians considered UTI in vomiting, feverish children without diarrhoea. Some stressed careful questioning of parents to ensure definite, persistent vomiting: But again, vomiting, I find that really non-specific in children. They just vomit when they’ve got a temperature. And parents mean very different things when they say a child has vomited. Sometimes they just mean they feel sick. Sometimes they mean they’ve had a really nasty cough, with lots of mucous and they’ve coughed and coughed and coughed and then sometimes vomited. So you really have to unpick what that means. But vomiting is something I would attribute to the urine infection….if it’s persistent vomiting. (GP5: non-DUTY) Diarrhoea Clinicians noted that mild diarrhoea (e.g. slightly loose stools), considered possible with UTI, needed distinguishing from full-blown diarrhoea of gastroenteritis: I mean you need to know what they (parents) mean when they say diarrhoea. So if you say, “Have you had diarrhoea?” you need to always ask, “How many dirty nappies are you having in a day?” and gastro-enteritis in babies are having 10, 12 dirty nappies a day. I had one yesterday. So 2 loose stools doesn’t necessarily make a gastro-enteritis. So I would be a little bit concerned, especially if they’re febrile, to look for something else and a UTI would probably be high up on that list. (CED DR4: non-DUTY) Alternative infective explanation and infectious contacts Clinicians reported that alternative explanations for the child’s symptoms or history of infectious contacts can be helpful for ruling out UTI: Well, upper respiratory tract infections is the biggie. That’s what they mostly would have, or other viral infections of one sort or another….The other biggie would be GI infections, diarrhoea, …and that is often on the history of who else, bugs like that are often going around, for example, another child’s had it, or it’s in the nursery or in the schools, that could help to support that bit of diagnosis. (GP5: non-DUTY) But if they don’t have any of those (respiratory) symptoms but they’ve got a temperature then I’d wonder if they had a rash or had been in contact with anyone who had any other, German measles and measles or chicken pox or something. If there is no other clues and they are just hot and unwell and no obvious cause, then I would think about urinary tract infection. (GP10: non-DUTY) 330 Family Practice—The International Journal for Research in Primary Care Discussion Our evidence suggests there is a role for qualitative research to support diagnostic and prognostic studies by helping inform the content of the CRF. Although there was much agreement between clinicians’ accounts and the DUTY CRF, our study identified a number of additional candidate items, some of which were additional symptoms or signs and others were qualifiers to existing symptoms or signs: symptoms disproportionate to the cause; fever (convulsions and intermittency, assessment method, highest temperature recorded); dysuria (alternative presentations, history and examination of sore genitalia); reduced urinary frequency and fluid intake; clinician assessment of urine presentation; vomiting and diarrhoea (duration, frequency and cross-checking parental understanding of terms); and the absence of a history of infectious contacts. Clinician interviews suggested how some symptom areas that were recorded in the CRF could have been improved. Further questioning in the CRF on the qualities of fever and how it was assessed might have elicited useful diagnostic information. Similarly, presence of vomiting and diarrhoea was recorded in the CRF but clinicians suggested that more specific questioning of parents’ understanding of these terms and further symptom details were required. National Institute for Health and Clinical Excellence (NICE) guidelines consider vomiting helpful for diagnosing UTI,5 and although the literature may imply otherwise,6 it is possible that previous studies did not collect sufficiently detailed information to identify diagnostically useful questions. For other symptoms, clinician interviews indicated that the CRF questions were too closed and that generic questions may have been more informative. For example, the CRF asks only about increased frequency, rather than change in urinary frequency—some clinicians believed decreased urinary frequency to be diagnostic. For other areas covered by multiple questions in the CRF, a specific question suggested by the interviews could have simplified its analysis. For example, the CRF asks clinicians to assess the severity of signs and state how certain they are of their working diagnosis. However, the direct question “Does the child appear sicker than expected from your working diagnosis?” might have been useful. Areas missed altogether included the following: history of infectious contacts; reduced drinking (despite reduced or no fluid intake being a potentially useful indicator for UTI)6; history and possible examination of sore genitalia; clinician assessment of urinary presentation, despite being a contentious sign that is valued by some practising clinicians but not by leading experts in the field. Our study focused on clinicians’ accounts, which were sufficient to investigate whether such methods could be useful in compiling a more comprehensive CRF. However, if time and resources had permitted, we would have also investigated parental perspectives and will do so in future research. Eight clinicians were research active, four clinicians were recruiting to the DUTY study and using the CRF, and one clinician was a lead researcher in DUTY. Participation in DUTY might have changed their ideas about diagnosis, making them less likely to suggest alternative symptoms or signs. However, these clinicians did provide notable examples of clinical features not mentioned in the CRF. Our sample was diverse, increasing the likelihood of eliciting relevant information in diagnosing UTIs in young children: clinicians had varied roles, worked in different clinical contexts, and in practices of different sizes and demographics. Clinicians’ practices and knowledge, derived from extensive experience, were explored in detail. The impact of this study would have been greater had it been initiated in time to inform the design of the CRF. Incorporation of patient perspectives may also be useful: for example, a study designed to improve diagnosis of ovarian cancer used interviews with patients with suspected malignancy alongside quantitative methods to identify a broad set of potentially significant diagnostic factors, using patients’ symptom terminology (which differed from medical terminology).7 Focus groups are an alternative to interviews, as suggested by Beattie and Nelson8 in their overview on how to use clinical prediction rules, although these may be less good for eliciting areas of dissent.9 In our study, the strongly held differences of opinion about urine appearance, for example, may have been less apparent. Observational data could also help to develop a CRF in a similar way that Krebes et al.10 analysed emergency calls of stroke patients to develop the final algorithm itself. We suggest that qualitative methods be used alongside expert knowledge and systematic reviews, if present, and to inform other methods developed to select predictors for prognostic or diagnostic algorithms, such as the Delphi technique.11,12 Whereas the latter are primarily tools for consensus making and ranking,13 qualitative methods such as interviews are tools for in-depth exploratory work that can generate new topics, which are explored in depth and understood in context. Formal qualitative research methods, in-depth interviews in this case, may ensure a more comprehensive final diagnostic or prognostic algorithm by including end users’—either clinicians’ and/or patients’—perspectives in the selection of candidate predictors used in CRFs, thereby improving the predictive performance of the prediction rule. Such methods may also improve the applicability of the prediction rule by ensuring predictors are relevant, clearly formulated and in sufficient detail, as well as improving the uptake of the algorithm in clinical practice.1 We believe that qualitative research should be considered in selection of candidate signs and symptoms for inclusion in CRFs for all diagnostic and prognostic studies. Qualitative research in development of a diagnostic algorithm for UTI Supplementary material Supplementary material is available at Family Practice online. Acknowledgements The authors would like to thank the clinicians who participated in this study; all the DUTY team members, particularly Harriet Downing and Catherine Derrick, for their support; and Dr Alison Heawood for comments on the manuscript. Declaration Funding: Medical Research Council National Institute for Health Research (MRC NIHR) Methodology Research Programme (G0801405); and the NIHR Health Technology Association-funded DUTY study (08_66). Ethical approval: South West 3 Research Ethics Committee (09/HO106/85). Conflicts of interest: none. References Bruins Slot MHE, Rutten FH, van der Heijden GJMG, et al. Diagnosing acute coronary syndrome in primary care: 1 331 comparison of the physicians risk estimation and a clinical decision rule. Fam Pract 2011; 28: 323–28. 2 The Diagnosis of Urinary Tract Infection in Young Children Study. www.dutystudy.org.uk/ (accessed on 31 October 2012). 3 NICE. Urinary Tract Infection in Children: Diagnosis, Treatment and Long-Term Management. London, UK: National Institute for Health and Clinical Excellence; 2007. 4 Miles M, Huberman M. Qualitative Data Analysis: An Expanded Sourcebook. London, UK: Sage; 1994. 5 NICE. CG54 Urinary Tract Infection in Children: Full Guidelines. www.nice.org.uk/nicemedia/pdf/CG54fullguideline.pdf (accessed on 31 October 2012). 6 Hay AD, Whiting P, Butler CC. How best to diagnose urinary tract infection in preschool children in primary care? BMJ 2011; 343: d6316. 7 Bankhead CR, Collins C, Stokes-Lampard H, et al. Identifying symptoms of ovarian cancer: a qualitative and quantitative study. BJOG 2008; 115: 1008–14. 8 Beattie P, Nelson R. Clinical prediction rules: what are they and what do they tell us? Austral J Physiother 2006; 52: 157–63. 9 Kitzinger J. Qualitative research. Introducing focus groups. BMJ 1995; 311: 299–302. 10 Krebes S, Ebinger M, Baumann AM, et al. Development and validation of a dispatcher identification algorithm for stroke emergencies. Stroke 2012; 43: 776–81. 11 Vergouw D, Heymans MW, de Vet HC, van der Windt DA, van der Horst HE. Prediction of persistent shoulder pain in general practice: comparing clinical consensus from a Delphi procedure with a statistical scoring system. BMC Fam Pract 2011; 12: 63. 12 Meijer R, Ihnenfeldt D, Vermeulen M, De HR, Van LJ. The use of a modified Delphi procedure for the determination of 26 prognostic factors in the sub-acute stage of stroke. Int J Rehabil Res 2003; 26: 265–70. 13 Jones J, Hunter D. Consensus methods for medical and health services research. BMJ 1995; 311: 376–80.
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