Literature DB >> 27173814

Out-of-hours antibiotic prescription after screening with C reactive protein: a randomised controlled study.

Ingrid Keilegavlen Rebnord1, Hogne Sandvik2, Anders Batman Mjelle3, Steinar Hunskaar1.   

Abstract

OBJECTIVE: To evaluate the effect of preconsultation C reactive protein (CRP) screening on antibiotic prescribing and referral to hospital in Norwegian primary care settings with low prevalence of serious infections.
DESIGN: Randomised controlled observational study at out-of-hours services in Norway.
SETTING: Primary care. PARTICIPANTS: 401 children (0-6 years) with fever and/or respiratory symptoms were recruited from 5 different out-of-hours services (including 1 paediatric emergency clinic) in 2013-2015. INTERVENTION: Data were collected from questionnaires and clinical examination results. Every third child was randomised to a CRP test before the consultation; for the rest, the doctor ordered a CRP test if considered necessary. OUTCOME MEASURES: Main outcome variables were prescription of antibiotics and referral to hospital.
RESULTS: In the group pretested with CRP, the antibiotic prescription rate was 26%, compared with 22% in the control group. In the group pretested with CRP, 5% were admitted to hospital, compared with 9% in the control group. These differences were not statistically significant. The main predictors for ordering a CRP test were parents' assessment of seriousness of the illness and the child's temperature. Paediatricians ordered CRP tests less frequently than did other doctors (9% vs 56%, p<0.001).
CONCLUSIONS: Preconsultation screening with CRP of children presenting to out-of-hours services with fever and/or respiratory symptoms does not significantly affect the prescription of antibiotics or referral to hospital. TRIAL REGISTRATION NUMBER: NCT02496559; Results. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  C-reactive protein; PRIMARY CARE; Prescriptions; Referral and Consultation

Mesh:

Substances:

Year:  2016        PMID: 27173814      PMCID: PMC4874126          DOI: 10.1136/bmjopen-2016-011231

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


The study is a randomised controlled trial evaluating the effect on antibiotic prescription and hospital referral by screening children with fever and/or respiratory symptoms with a C reactive protein (CRP) test before the consultation. Nearly complete data since we used dedicated nurses to collect clinical symptoms and findings on all children. The study was underpowered, that is, the differences were too small to reach statistical significance. Identified predictors of CRP testing are observational and not a result of the randomised trial.

Introduction

Fever, respiratory symptoms and infections are common among children in primary care, especially at out-of-hours (OOH) services.1 Serious infections have low prevalence in primary care, and even more so after introduction of vaccines for Haemophilus influenzae type B and pneumococcal conjugate vaccines.2 3 It is challenging for clinicians to distinguish serious and low-prevalent diseases from common, self-limiting infections. A severity-of-illness scoring system does not exist for primary care. In Norway, 85% of antibiotics are prescribed in primary care.4 Despite a decrease in serious infections, the use of antibiotics has been increasing until 2012, and is generally believed to be unnecessarily widespread.5 Although there has been an increase in methicillin-resistant Staphylococcus aureus (MRSA), the prevalence of antibiotic resistant bacteria is lower than in most other countries.6 In order to keep the antimicrobial resistance low, it is important to avoid unnecessary antibiotics and use narrow spectrum penicillin when possible.7 C reactive protein (CRP) is an inflammation marker, reflecting the severity of inflammation and tissue injury, which is used as a tool to differentiate between bacterial and viral infections.8 It has high popularity in Norwegian primary care as a point-of-care test, and in OOH services it is used in more than half of all children with respiratory symptoms.1 9 It thus seems that CRP testing is more like a routine, rather than a supplement to history taking and clinical examination. The CRP test’s role in ruling out or ruling in serious infections, and the cut-off value for when to prescribe antibiotics, have been widely discussed.8 10 The impact of CRP as a way of reducing the number of antibiotic prescriptions is at best unclear.11–16 The aim of the present study was to evaluate the effect of preconsultation screening with CRP on antibiotic prescribing and referral to hospital for children aged 0–6 years presenting at OOH services with fever and/or respiratory symptoms.

Method

We designed a randomised controlled observational study including children aged 0–6 years with fever or any respiratory symptoms. The data consist of clinical symptoms and signs collected by a nurse at the OOH services before the doctor's consultation, a questionnaire filled in by the parents before the consultation, and the medical record. Every third child was randomised to a CRP test before the consultation with a predefined mark in their study folder. The remaining 2/3 received usual care, allowing the doctor to order a CRP test on individual indication. Other tests also available were rapid strep test, urine dipstick test, haemoglobin and glucose.

Inclusion and procedures

The inclusion of participants took place during the winter seasons from January 2013 to May 2015 at four different OOH services near Bergen and at one paediatric emergency clinic at Haukeland University Hospital in Bergen. This emergency clinic is a walk-in, open access facility, and it is located at a hospital and staffed by paediatricians. The nurses at the OOH services were trained in the study inclusion criteria and examination procedures. At the paediatric emergency clinic, two trained nurses were engaged specially for the project. The parents were approached by the nurse and invited to participate in the study and fill out a questionnaire prior to the consultation. The nurse did a clinical examination of all children and a CRP test of every child randomised to the test. The CRP result followed the patient to the consultation but not the study folder with the results from the questionnaire. The diagnosis and treatment were recorded from the medical record after the consultation. Numbers of potential patients not asked or approached were not recorded.

Variables

The two main outcome variables were antibiotic prescription and referral to hospital. Recorded variables from the medical history were age, gender, previous chronic disease, duration of present illness, fever during the past 24 h, variation in fever, vomiting, earache, coughing, dyspnoea, throat symptoms, diarrhoea, reduced diuresis, cervical rigidity, skin rash and use of paracetamol or ibuprofen during the past 24 h. The parents' assessment of the illness and its seriousness was also recorded. Variables from the nurse's examination were temperature, respiratory rate, oxygen saturation, degree of hydration, capillary refill time and general condition on a three-point scale (normal, ill and severely ill). Finally, we recorded whether the doctor was a paediatrician or working at the OOH services.

Study sample calculation

A power calculation was based on the following presumptions: we presumed that 35% of all children would receive antibiotic treatment based on data from earlier studies,17 18 and that CRP would be requested in every second consultation.1 Furthermore, we presumed that the doctor requested a CRP for the most seriously ill children and that 50% of these children would receive antibiotics, compared with 20% for the healthier non-tested group. The null hypothesis was that pretested CRP would not change the frequency of antibiotic treatment, that is, 35% of both groups would receive antibiotics. If a 40% change (effect size) in antibiotic treatment due to pretested CRP was defined as significant, using a two-sided test, power 80%, α level 5%, the sample sizes would have to be 130+259. If effect size was reduced from 40% to 20%, the sample sizes would have to be 525+1050. As it turned out, recruiting participants was challenging, and an interim analysis was performed when 400 children were included. The difference in antibiotic prescriptions was much smaller than what we considered clinically significant, and we therefore decided to stop further recruitment of participants.

Statistical analysis

Proportions were compared by χ2 tests, means by Student's t tests. A logistic regression analysis was performed to analyse predictors for ordering a CRP. Explanatory variables that were significant in bivariate analyses were included in the final model. The significance level was set at 5% (p<0.05). Data were analysed using IBM SPSS (V.21).

Results

A total of 401 children were included in the study, but four left the clinic before the doctor's consultation, leaving 397 for inclusion in our analyses (figure 1). A comparison of the two randomised groups is shown in table 1. The mean age was 2.3 years, and 223 (55.6%) were boys. The mean duration of illness was 6.5 days and the mean temperature at the consultation was 38.0°C. No significant differences were found, except that the general condition was more often assessed as normal in the group randomised to a CRP test. A similar comparison of children attending OOH services and the hospital clinic showed that those at the hospital clinic had a significantly lower temperature, respiratory rate, higher oxygen saturation, reported less use of paracetamol, and were assessed to be in better general condition than those at the OOH services (table 1).
Figure 1

Flow chart over included and investigated patients in the study. CRP, C reactive protein; OOH, out-of-hours.

Table 1

Comparison of background variables in the two randomised groups and the two different clinical settings

Intervention group
Clinical setting
VariablesPretested CRP n=138CRP not pretested n=259p Value*OOH service n=230Paediatric emergency clinic n=167p Value†
Age (year)
 Mean (SD)2.13 (1.7)2.44 (1.9)0.1042.38 (1.7)2.29 (1.9)0.638
 Median (IQR)1.5 (0.9–2.9)1.9 (1.0–3.5)1.9 (1.0–3.5)1.5 (0.9–3.0)
Duration illness (day)
 Mean (SD)7.0 (11.0)6.4 (7.7)0.4346.0 (7.7)7.2 (9.9)0.175
 Median (IQR)4 (3–7)4 (2–7)4 (2–7)4 (2–7)
Temperature (°C)
 Mean (SD)38.0 (0.9)37.9 (1.0)0.89338.2 (0.9)37.7 (1.0)<0.001
 Median (IQR)38.0 (37.3–38.7)37.9 (37.2–38.8)38.1 (37.5–39.0)37.4 (36.9–38.4)
Respiratory rate (breath/min)
 Mean (SD)34.2 (15.0)31.8 (12.7)0.11834.0 (13.4)30.9 (13.6)0.028
 Median (IQR)30 (20–42)28 (20–40)31 (22–44)25 (20–38)
Earache24.427.40.56626.326.30.955
Cough86.184.00.66585.184.80.987
Dyspnoea61.654.40.09860.052.60.090
Diarrhoea19.118.60.65718.918.70.963
Taken paracetamol during the past 24 h65.966.50.78373.457.30.001
Gender (male)53.656.70.50257.852.60.370
General condition
 Normal29.020.10.05218.329.20.003
 Ill68.876.877.869.6
 Severely ill2.22.73.51.2
Pulse oximetry
 >95%53.658.70.18151.763.20.002
 90–95%29.024.330.020.5
 <90%2.91.93.50.6
Earlier experienced CRP
 Yes69.671.50.80076.963.20.109
 No2.21.50.92.9
 Do not know18.820.222.322.2
Chronic disease
 No disease75.474.10.85174.374.30.948
 Asthma18.120.821.318.1
 Allergy/other6.55.04.47.6
Consultation with paediatrician42.842.60.8400.0100.0

Numbers are proportions (%) otherwise stated.

*p Values from comparison of means and proportions in the intervention groups, using Student's t tests and non-parametric tests.

†p Values from comparison of means and proportions in the different clinical settings, using Student's t tests and non-parametric tests.

CRP, C reactive protein; OOH, out-of-hours.

Comparison of background variables in the two randomised groups and the two different clinical settings Numbers are proportions (%) otherwise stated. *p Values from comparison of means and proportions in the intervention groups, using Student's t tests and non-parametric tests. †p Values from comparison of means and proportions in the different clinical settings, using Student's t tests and non-parametric tests. CRP, C reactive protein; OOH, out-of-hours. Flow chart over included and investigated patients in the study. CRP, C reactive protein; OOH, out-of-hours. A rapid strep test was taken in seven cases; all were negative, but three of the children got a prescription of antibiotics. A urine dipstick test was performed in three cases and two of the children were diagnosed with pyelonephritis. In total, 93 (23%) received a prescription for antibiotics and 31 (8%) were admitted to hospital. In the group pretested with CRP, the antibiotic prescription rate was 26%, compared with 22% in the control group. In the group pretested with CRP; 5% were admitted to hospital, compared with 9% in the control group (table 2).
Table 2

Effect of preconsultation screening with CRP on the rate of antibiotic prescription and referral to hospital

Intervention group CRP pretested
No intervention CRP at request
VariablesNumber of patientsPercentage (95% CI)Number of patientsPercentage (95% CI)p Value
All children n=397n=138n=259
 Prescription of antibiotics3626 (19 to 34)5722 (17 to 27)0.361
 Referral to hospital75 (1 to 9)249 (6 to 13)0.138
OOH services n=230n=79n=151
 Prescription of antibiotics2532 (21 to 42)3825 (18 to 32)0.295
 Referral to hospital45 (0 to 10)128 (4 to 12)0.414
Paediatric emergency clinic n=167n=59n=108
 Prescription of antibiotics1119 (8 to 29)1918 (10 to 25)0.866
 Referral to hospital35 (−1) to 11)1211 (5 to 17)0.193

CRP, C reactive protein; OOH, out-of-hours.

Effect of preconsultation screening with CRP on the rate of antibiotic prescription and referral to hospital CRP, C reactive protein; OOH, out-of-hours. The mean result of pretested CRP was significantly lower than when requested by the doctor (21 vs 34 mg/L, p=0.006). Paediatricians ordered CRP tests less frequently than did other doctors (9% vs 56%, p<0.001). In the logistic regression analyses, three variables remained significantly associated with ordering a CRP test. Use of CRP increased if the parents thought their child had a serious infection or if the child had a high temperature at the consultation. Use of CRP decreased if the doctor was a paediatrician (table 3).
Table 3

OR for ordering a CRP test in the group randomised to CRP at request, n=259

VariableCRP requested %ORCI (95%)p Value
Parents' assessment of sickness
 No opinion n=11044Ref.
 Viral infection n=69250.510.16 to 1.590.248
 Bacterial infection n=79350.840.32 to 2.240.734
Parents’ assessment of degree of seriousness
 Think it is not serious but want a check n=6617Ref.
 Not sure, maybe in need of treatment n=97424.991.77 to 14.030.002
 Think antibiotics are needed n=89405.801.88 to 17.920.002
 Think the child needs hospitalisation n=6100NC
Respiratory rate*1.010.97 to1.040.768
Temperature (°C)*1.641.08 to2.480.019
Use of paracetamol during the past 24 h
 No n=8424Ref.
 Yes n=173421.430.59 to 3.420.428
Fever during the past 24 h
 No n=3511Ref.
 Yes n=224402.950.53 to 16.350.215
General condition
 Normal n=5221Ref.
 Ill n=199401.520.57 to 3.980.399
 Severely ill n=7711.300.14 to 12.020.817
Type of doctor
 Paediatric emergency clinic n=10856Ref.
 Out-of-hours services n=151915.656.06 to 40.43<0.001

Multiple logistic regression analysis.

*Continuous variables.

CRP, C reactive protein; NC, not calculated; Ref., reference.

OR for ordering a CRP test in the group randomised to CRP at request, n=259 Multiple logistic regression analysis. *Continuous variables. CRP, C reactive protein; NC, not calculated; Ref., reference. Upper respiratory infection was the most frequently used diagnosis, followed by otitis media and tonsillitis (table 4). Antibiotic prescription rate was highest with tonsillitis (68%) and otitis media/pneumonia (67%). All patients with pneumonia not given antibiotics were referred to hospital (33%). Pyelonephritis, dehydration, bronchiolitis and fever of unknown origin were the other most frequent reasons for referral to hospital.
Table 4

Distribution of diagnoses, how often CRP is taken on request, CRP values, antibiotic prescription, and referral to hospital for all children

DiagnosisPatients, numbern=397CRP on request, %n=259CRP values (mg/L) in pretested group, mean n=138CRP values (mg/L) in not pretested group, mean n=259Proportion prescribed antibiotic, % n=397Proportion referred to hospital, % n=397
Acute tonsillitis47322945680
Otitis media54402226670
Pneumonia158049866733
URI12834153452
Viral infection3128211633
Fever2050954015
Laryngitis17121619612
Bronchiolitis161016056
Respiratory infection13502716150
Cough125572188
Asthma817551212
Bronchitis7505114229
Influenza505020
Gastroenteritis55028040
Pyelonephritis2100910100
Other170141100

CRP, C reactive protein; URI, upper respiratory infection.

Distribution of diagnoses, how often CRP is taken on request, CRP values, antibiotic prescription, and referral to hospital for all children CRP, C reactive protein; URI, upper respiratory infection.

Discussion

Summary

In this randomised controlled study of preconsultation CRP testing of children with fever and/or respiratory symptoms, no significant effect was found on antibiotic prescription or hospital admittance. The study confirms that CRP tests are widely used in OOH services and the excessive use rather tends to increase the antibiotic prescription than to reduce it. High fever and concerned parents predict CRP testing. Paediatricians order CRP testing less frequently than do OOH doctors.

Strengths and limitations

Our data, according to protocol, are nearly complete due to the effort of the nurses. Collecting data from the medical record only would have been simpler and maybe increased the number of included children, but would probably have caused more missing data. The inclusion was challenging since the nurses at the OOH services had to ask and inform the parents to participate, interview them and do some tests before the consultation, all this on top of their normal job. The study inclusion may have been given a lower priority on busy days. At the paediatric emergency clinic, we used a dedicated study nurse who was able to include all children for whom the parents consented. The children who are seen by a paediatrician at the paediatric emergency clinic are unselected and not referred from primary care. At the OOH services, the doctor is a general practitioner (GP), a GP in training or locums. We have no detailed information about the experience of these OOH doctors but know that younger doctors are working more often OOH and use more CRP.9 19 How the experience affects the prescription is not known. The paediatric emergency clinic had the function as an OOH service for children in Bergen city, but the children at the clinic seemed to be slightly healthier, maybe due to the walk-in, open access facility. At the other OOH services, the parents had to call first for advice and only got an appointment if the child was assessed to need a doctor consultation.20 This difference may have influenced the use of CRP tests and prescription of antibiotics. Doctors at the OOH services get an extra fee for each CRP test, while there is no such economic incentive at the paediatric emergency clinic. This may explain some of the difference in use of CRP tests. The study was not blinded and knowledge about the purpose of the study may have influenced the doctor’s prescription pattern. However, this influence would probably affect both groups equally. One main limitation is the study sample, which was estimated from an expectation that preconsultation CRP screening would affect antibiotic prescription to a larger degree than what turned out to be true. If the differences found were to be statistically significant, the study sample would have to be several times larger. The number of referrals to hospital was small in this study and it is not possible to state from these data if screening with CRP affects it. Other laboratory tests (rapid strep test and urine dipstick) were used little.

Comparison with the existing literature

Children with fever and/or respiratory symptoms are frequent attenders at OOH services, but to compare the distribution of diagnoses is difficult because of the different diagnostic criteria and different precision level. In our material, there were a lot of symptom diagnoses, such as fever, cough, viral illness, upper respiratory infection, etc. This reflects how difficult it is to give a valid diagnosis in primary care. A high CRP result may indicate a more severe diagnosis, such as pneumonia, but rarely these diagnoses are validated in other ways (X-rays, sputum samples, etc). In one study from general practice in the UK, including children aged <5 years with acute illness,21 lower respiratory infections were more common, and tonsillitis and ear infections less common than in our study. The antibiotic prescription rate was higher for all diagnoses, with a total prescription rate of 26% compared with 23% in our study. In two Dutch studies from OOH services, the prescription rate was 36% and 37% for febrile children;22 23 in a comparable study from paediatric outpatient settings in Sweden and Estonia, the prescription rate was 35% and 61%.24 In a comparable study from Norwegian general practice, the total antibiotic prescription rate was 26%, but for otitis media it was only 42% compared with 67% in our study.25 For pneumonia and tonsillitis, the prescription rates were more similar, 71% and 79%, compared with 67% for both in our study. It seems that the prescription rates in our study were rather low compared with other countries, but correspond well with earlier published Norwegian results. Norway still seems to be a low-prescription country. The use of CRP at OOH services in Norway is high compared with other countries. In our study, CRP was ordered in 56% of consultations at the OOH services. In a Swedish study, CRP was ordered in 36% of all consultations.26 Another recently published Swedish study where both children and adults were included found CRP testing in 38% and that CRP pretesting correlated with increased antibiotic prescription.27 The effect of CRP testing on antibiotic prescription has been studied in several settings, with conflicting results. For adult patients, no effect was found for acute bronchitis28 or acute pharyngitis.14 However, in other studies of respiratory tract infections, CRP testing has resulted in lower prescription rates.15 16 29 For children, there are fewer studies, but one systematic review from 2011 analysed which CRP values that could be diagnostically useful when trying to rule in or rule out serious infections.10 Another study that included clinical signs and CRP in a prediction model found it useful for estimating pneumonia and other serious bacterial infections.30 Common for most other studies that look at the effect CRP testing has on antibiotic prescription, is that CRP is used as an intervention in settings where CRP rarely is used. In contrast, we have studied what happens in a low-prevalent population, where CRP is easily accessible, where normal practice and economic incentives stimulate to use CRP very often.

Implications for research and practice

Antibiotic prescription rates in Norway are relatively low compared with other countries, but still higher than recommended, and many prescriptions do not follow the national guidelines for antibiotic prescription.7 The extensive use of CRP in Norway and a tendency towards screening every febrile child with a CRP test, often before the consultation, is not according to any recommendations. There is no evidence for benefit of this practice. Our study shows that CRP screening does not reduce antibiotic prescription rates; the trend is rather an increase. Possibly, prescription rates are increased due to more often false positive CRP values when the test is taken so often at children with low risk of serious infections. Training in communication skills may affect prescription rates,29 and should be given priority over extensive laboratory testing in this setting. Widespread use of antibiotics for otitis media and tonsillitis, such as found in our study, is not recommended according to the national guidelines. The same goes for antibiotic prescriptions for unspecific diagnoses such as cough and upper respiratory infections. Further studies should focus on how to reduce clinicians' uncertainty with the use of clinical prediction rules validated for low-prevalent populations, and training in communication skills to reduce parents' concern.

Conclusion

CRP is extensively used in children at Norwegian OOH services, especially when the child has high fever, or if the parents think it is a serious infection. CRP screening of all children with fever and/or respiratory infections will not reduce the prescription of antibiotics.
  26 in total

1.  Use of laboratory tests in out-of-hours services in Norway.

Authors:  Ingrid Keilegavlen Rebnord; Hogne Sandvik; Steinar Hunskaar
Journal:  Scand J Prim Health Care       Date:  2012-06       Impact factor: 2.581

2.  [Changes in antibiotic consumption among day-care children in Oslo].

Authors:  Anne-Lise Nordlie; Bjørg Marit Andersen
Journal:  Tidsskr Nor Laegeforen       Date:  2007-11-15

3.  Decline in early childhood respiratory tract infections in the Norwegian mother and child cohort study after introduction of pneumococcal conjugate vaccination.

Authors:  Maria C Magnus; Didrik F Vestrheim; Wenche Nystad; Siri Eldevik Håberg; Hein Stigum; Stephanie J London; Marianne A R Bergsaker; Dominique A Caugant; Ingeborg S Aaberge; Per Nafstad
Journal:  Pediatr Infect Dis J       Date:  2012-09       Impact factor: 2.129

4.  Respiratory virus infections in febrile children presenting to a general practice out-of-hours service.

Authors:  Marijke Kool; Miriam Monteny; Gerard J J van Doornum; Henriette A Moll; Marjolein Y Berger
Journal:  Eur J Gen Pract       Date:  2014-05-21       Impact factor: 1.904

5.  Use of rapid diagnostic tests and choice of antibiotics in respiratory tract infections in primary healthcare--a 6-y follow-up study.

Authors:  Thomas Neumark; Lars Brudin; Sigvard Mölstad
Journal:  Scand J Infect Dis       Date:  2010

Review 6.  Association between point-of-care CRP testing and antibiotic prescribing in respiratory tract infections: a systematic review and meta-analysis of primary care studies.

Authors:  Yafang Huang; Rui Chen; Tao Wu; Xiaoming Wei; Aimin Guo
Journal:  Br J Gen Pract       Date:  2013-11       Impact factor: 5.386

7.  Antibiotic prescription in febrile children: a cohort study during out-of-hours primary care.

Authors:  Gijs Elshout; Marijke Kool; Johannes C Van der Wouden; Henriëtte A Moll; Bart W Koes; Marjolein Y Berger
Journal:  J Am Board Fam Med       Date:  2012 Nov-Dec       Impact factor: 2.657

8.  Sentinel monitoring of activity of out-of-hours services in Norway in 2007: an observational study.

Authors:  Elisabeth Holm Hansen; Erik Zakariassen; Steinar Hunskaar
Journal:  BMC Health Serv Res       Date:  2009-07-22       Impact factor: 2.655

9.  Clinical prediction model to aid emergency doctors managing febrile children at risk of serious bacterial infections: diagnostic study.

Authors:  Ruud G Nijman; Yvonne Vergouwe; Matthew Thompson; Mirjam van Veen; Alfred H J van Meurs; Johan van der Lei; Ewout W Steyerberg; Henriette A Moll; Rianne Oostenbrink
Journal:  BMJ       Date:  2013-04-02

10.  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.

Authors:  Jochen W L Cals; Christopher C Butler; Rogier M Hopstaken; Kerenza Hood; Geert-Jan Dinant
Journal:  BMJ       Date:  2009-05-05
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  11 in total

Review 1.  Biomarkers as point-of-care tests to guide prescription of antibiotics in people with acute respiratory infections in primary care.

Authors:  Ole Olsen; Siri Aas Smedemark; Rune Aabenhus; Carl Llor; Anders Fournaise; Karsten Juhl Jørgensen
Journal:  Cochrane Database Syst Rev       Date:  2022-10-17

2.  How patients' experiences of respiratory tract infections affect healthcare-seeking and antibiotic use: insights from a cross-sectional survey in rural Anhui, China.

Authors:  Mengjie Diao; Xingrong Shen; Jing Cheng; Jing Chai; Rui Feng; Panpan Zhang; Rongyao Zhou; Helen Lambert; Debin Wang
Journal:  BMJ Open       Date:  2018-02-03       Impact factor: 2.692

3.  Factors predicting antibiotic prescription and referral to hospital for children with respiratory symptoms: secondary analysis of a randomised controlled study at out-of-hours services in primary care.

Authors:  Ingrid Keilegavlen Rebnord; Hogne Sandvik; Anders Batman Mjelle; Steinar Hunskaar
Journal:  BMJ Open       Date:  2017-01-17       Impact factor: 2.692

4.  Use of C-reactive protein to tailor antibiotic use: a systematic review and meta-analysis.

Authors:  Dara Petel; Nicholas Winters; Genevieve C Gore; Jesse Papenburg; Marc Beltempo; Jacques Lacroix; Patricia S Fontela
Journal:  BMJ Open       Date:  2018-12-22       Impact factor: 2.692

Review 5.  Rapid Tests for Influenza, Respiratory Syncytial Virus, and Other Respiratory Viruses: A Systematic Review and Meta-analysis.

Authors:  Andrea H L Bruning; Mariska M G Leeflang; Johanna M B W Vos; Rene Spijker; Menno D de Jong; Katja C Wolthers; Dasja Pajkrt
Journal:  Clin Infect Dis       Date:  2017-09-15       Impact factor: 9.079

Review 6.  Point-of-Care C-Reactive Protein Testing to Reduce Antibiotic Prescribing for Respiratory Tract Infections in Primary Care: Systematic Review and Meta-Analysis of Randomised Controlled Trials.

Authors:  Nahara Anani Martínez-González; Ellen Keizer; Andreas Plate; Samuel Coenen; Fabio Valeri; Jan Yvan Jos Verbakel; Thomas Rosemann; Stefan Neuner-Jehle; Oliver Senn
Journal:  Antibiotics (Basel)       Date:  2020-09-16

7.  Respiratory tract infections in Norwegian primary care 2006-2015: a registry-based study.

Authors:  Leo Larsen; Knut-Arne Wensaas; Knut Erik Emberland; Guri Rortveit
Journal:  Scand J Prim Health Care       Date:  2022-04-29       Impact factor: 3.147

8.  Phone triage nurses' assessment of respiratory tract infections - the tightrope walk between gatekeeping and service providing. A qualitative study.

Authors:  Bent Håkan Lindberg; Ingrid Keilegavlen Rebnord; Sigurd Høye
Journal:  Scand J Prim Health Care       Date:  2021-04-01       Impact factor: 2.581

Review 9.  Rational use of antimicrobials in the treatment of upper airway infections.

Authors:  Santiago Alfayate Miguélez; Luis Garcia-Marcos
Journal:  J Pediatr (Rio J)       Date:  2019-12-17       Impact factor: 2.990

10.  Antibiotics for gastroenteritis in general practice and out-of-hour services in Norway 2006-15.

Authors:  Knut Erik Emberland; Knut-Arne Wensaas; Sverre Litleskare; Leo Larsen; Kristine Morch; Sabine Ruths; Guri Rortveit
Journal:  Fam Pract       Date:  2022-01-19       Impact factor: 2.267

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