- Research article
- Open Access
- Open Peer Review
The economic burden of urinary tract infections in women visiting general practices in France: a cross-sectional survey
© The Author(s). 2016
- Received: 4 February 2016
- Accepted: 2 August 2016
- Published: 9 August 2016
Urinary tract infections (UTIs) are among the most common bacterial infections. Despite this burden, there are few studies of the costs of UTIs. The objective of this study was to determine the costs of UTIs in women over 18 years of age who visit general practitioners in France.
The direct and indirect costs of clinical UTIs were estimated from societal, French National Health Insurance and patient perspectives. The study population was derived from a national cross-sectional survey entitled the Drug-Resistant Urinary Tract Infection (Druti). The Druti included every woman over 18 years of age who presented with symptoms of UTI and was conducted in France in 2012 and 2013 to estimate the annual incidence of UTIs due to antibiotic-resistant Enterobacteriaceae in women visiting general practitioners (GPs) for suspected UTIs.
Of the 538 women included in Druti, 460 were followed over 8 weeks and included in the cost analysis. The mean age of the women was 46 years old. The median cost of care for one episode of a suspected UTI was €38, and the mean cost was €70. The annual societal cost was €58 million, and €29 million of this was reimbursed by the French National Health Insurance system. In 25 % of the cases, the suspected UTIs were associated with negative urine cultures. The societal cost of these suspected UTIs with negative urine cultures was €13.5 million. No significant difference was found between the costs of the UTIs due to antibiotic-resistant E. coli and those due to wild E. coli (p = 0.63).
In the current context in which the care costs are continually increasing, the results of this study suggests that it is possible to decrease the cost of UTIs by reducing the costs of suspected UTIs and unnecessary treatments, as well as limiting the use of non-recommended tests.
- Urinary tract infection
- Cost of illness
- Primary care
Urinary tract infections (UTIs) are among the most common bacterial infections  and affect nearly half of all women at least once in their lives . Women are more affected than men and exhibit two incidence peaks, i.e., early in the period of sexual activity and in the postmenopausal period . Among those aged 18 years and over, 10.8 % of women reported having at least one UTI within the past 12 months . Escherichia coli (E. coli) is the most common urinary pathogen and is found in 74 % of outpatient UTIs . Antimicrobial resistance is increasing and varies between countries, and this variation is strongly related to antibiotic prescription practices [6–9]. Initial E. coli UTI episodes are followed in 44 % of cases by recurrence within 12 months .
Despite this burden, few studies have examined the costs of UTIs. In 1997, an American study estimated that the burden of UTIs represented 100,000 hospitalizations, 7 million visits and 1 million admissions to emergency services . In 1995, UTI costs were estimated at $1.6 billion in the USA ($659 million in direct costs and $936 million in indirect costs) . The direct cost per patient has been estimated to be between 112 and 172 dollars . In France, these costs are unknown. The main objective of this study was to calculate the direct and indirect UTI costs (including cystitis and acute pyelonephritis) in women over 18 years of age who visit general practices in France. The secondary objectives were to calculate the costs of suspected UTIs with negative urine cultures and to compare the costs of UTIs due to antibiotic-resistant E. coli with those of UTIs due to wild E. coli.
The data were collected during the Drug Resistance in Community Urinary Tract Infection (Druti) survey. The Druti was a national cross-sectional survey that was conducted in France between January 2012 and February 2013 by general practitioners (GP) of the Sentinelles network . The aim of this survey was to estimate the annual incidence of UTIs due to antibiotic-resistant bacteria in women who visited GPs for suspected UTIs .
A two-stage sampling design that has been described elsewhere  was applied. The eligible patients were females over 18 years old who presented within the previous 7 days with at least one of the following symptoms: dysuria and frequent or urgent of urination (Additional file 1). The patients who agreed to participate and had not taken antibiotics within the prior 7 days were included.
For each patient, a urine sample was collected, and urine cultures were performed on all samples in the same laboratory. The urine samples were analyzed, and the antimicrobial susceptibilities were tested. The bacteriological methods are described elsewhere [15, 16]. The GPs were blinded to the urine culture results. When needed, the GPs prescribed another urine culture.
The included patients completed an inclusion questionnaire that contained the patients’ characteristics (i.e., age, clinical status (chronic diseases and comorbidities) and socio-economic data) (Additional file 2). The women completed a questionnaire within 8 weeks following inclusion in which they specified the daily presence or absence of symptoms within the first 14 days (Additional file 3). The women provided information about their health care usage (e.g., physician visits, diagnostic tests, prescription drugs and hospitalization) and sick leave from the baseline time point to 8 weeks. A research assistant contacted by phone the women at two and 8 weeks to collect the data.
The direct and indirect costs of clinical UTIs were estimated from the societal perspective, the French National Health Insurance perspective and the patient perspective (prior to private complementary health insurance participation) .
French National Health Insurance covers the costs of general and specialized medical visits, prescription drugs, diagnostic tests and hospitalizations. In cases of sickness, the insurance also provides daily allowances for economically active persons, insured and unable to work. Private health insurance can be utilized to reimburse patients for health-related costs that are not covered by social security. For the most disadvantaged, state-run programs provide universal health coverage. The patient contribution corresponds to the costs that are not covered by the French National Health Insurance and the patient’s private health insurance.
Only the costs of the initial UTI episode and associated relapses were taken into account. The costs related to reinfection were not included. The definitions of relapse and reinfection were based on those in the literature [2, 18, 19]. All costs were calculated based on the reported data declared by the women.
Direct costsDirect costs include direct medical costs related to physician visits, diagnostic tests, prescription drugs and hospitalizations .
Physician visits. All physician visits were considered including GP visits at baseline. In 2012, the average cost for a physician visit for a woman was determined based on the General Sample of Beneficiaries (EGB), which is permanent representative sample of the population that is protected by the French National Health Insurance . This cost was estimated according to medical specialty and department of residence and was available for the societal, French National Health Insurance and patient perspectives. The French National Health Insurance paid for 70 % of the costs of physician visits.
Diagnostic tests. Only tests performed for UTIs were considered. The costs of the urine cultures that were performed for the incidence study were not included in the analysis. The Nomenclature of Medical Biology Acts (NABM) was used to determine the costs of bio-medical analysis, and the Common Classification of Medical Acts (CCAM) was used to determine the costs of medical imaging procedures. When a patient did not provide the exact title of the diagnostic test, the weighted mean of the cost of same family of investigations (e.g., blood tests or ultrasound) was used. The French National Health Insurance paid for 60 % of the costs of the bio-medical analyses and 70 % of the costs of the medical imaging procedures.
Prescription drugs. Only treatments related to UTIs that were prescribed by a physician and partially (65, 35 or 15 % according to the drug) or totally paid for by the French National Health Insurance were considered. Over the counter drugs dispensed by pharmacists were not taken into account. Two French National Health Insurance databases were used, i.e., the drug’s database (which contains baselines for allopathic medicines that are reimbursed by health insurance) and the MEDICAM (which contains detailed information about reimbursed drugs) [23, 24]. These databases contained the costs of each box of drug (per molecule and by strength, packaging and laboratory), the number of boxes sold and the amount paid by the French National Health Insurance system in 2012. Pediatric and injectable (except third-generation cephalosporin) drugs were removed before the analysis. The average costs weighted by the number of boxes sold in 2012 per molecule and by strength and packaging were calculated. The prescriptions provided the physicians at baseline were used to determine the average cost of a prescription per molecule. This cost was then related to the patient-declared drug consumption.
Hospitalizations. Only admissions related to UTIs were considered. The hospitalizations cost was defined based on the Hospital Stay-Related Group (GHS), which is classification of hospital stays that is based on the care delivered to patients. A tariff order defined by the government was used to determine the cost of the GHS . The GHS were determined based on the patient’s age, disease and medical history . This information was recovered from hospitalization reports that were obtained directly from hospital after acquiring the patient’s consent. The French National Health Insurance reimbursed 80 % of the GHS.
The indirect costs included only morbidity costs (loss of productivity due to absenteeism) . The friction costs method was used to account for the ability of a company to adapt to the absence of an employee . An elasticity of 0.8 was applied. The daily productivity lost (or gross daily pay) for each women by socio-professional category was obtained by multiplying the gross hourly pay in 2010 based on data from the French National Institute of Statistics and Economic Studies (INSEE)  with the number of hours worked per day by a full time equivalent . Next, the employer’s contributions (32.85 % of gross pay) were added [17, 30, 31]. In 2010, the average gross hourly pays were null for non-economically active persons (i.e. students, unemployed person and retired person), €19.42 for manual workers, €21.06 for clerical workers, €29.77 for intermediate occupations and €42.57 for managers.
The French National Health Insurance pays patient daily allowances that represent 50 % of the gross daily pay [32, 33] only from the fourth day of the sick leave until the end of the sick leave. The daily allowance amounts were also calculated based on the women’s gross hourly pay according to socio-professional category . On the first of January 2012, the daily allowances were capped at €42.77. The patient loss of income was taken as the net daily pay for the first 3 days off, and the difference between the net daily pay and the daily allowances for the following days.
Economic and statistical analysis
The sampling design (stratification, stages and sampling weights) was taken into account in all of the analyses to make inferences about the population and has been described elsewhere . The average costs of clinical UTIs in France were calculated according to expense items (physician visits, diagnostic tests, prescription drugs, hospitalizations and productivity losses). The total costs according to expense items were calculated by multiplying the average costs by the estimated number of visits to general practices for UTIs in 2012. The mean costs of suspected UTIs that were confirmed and unconfirmed based on urine cultures were compared with Student’s t-tests as were the mean UTIs costs due to wild and antibiotic-resistance E. coli.
For the analysis, the E. coli were classified as resistant based on disclosed resistance or intermediate susceptibility to a particular antimicrobial agent; otherwise, the isolate was classified as susceptible. Multi-resistance was defined as acquired resistance to at least three classes of antibiotic .
Population and urine cultures
Characteristics of the eligible women and the women who were followed for 8 weeks
Eligible patients n = 1,569
Patients followed for 8 weeks, n = 460
Age (mean, sd)
Urinary tract infection symptoms (n, %)
1,431 (91 %)
432 (94 %)
1,386 (88 %)
421 (92 %)
1,044 (67 %)
340 (74 %)
357 (23 %)
121 (26 %)
Pelvic of lower back pain
582 (37 %)
198 (43 %)
112 (7 %)
32 (7 %)
Socio-economic status of included women and French women in general population
Percentage of patients followed for 8 weeks, n = 460
Percentage for women in general population
Non-economically active persons
Complicated UTIs represented 25 % [21–29] of UTI cases. Women treated for a chronic disease (diabetes, cancer or renal insufficiency), pregnancy and urinary tract anomalies represented 6 % [4–8], 2 % [1–3], and 4 % [2–6] of UTI cases, respectively.
The number of visits to general practices for suspected UTIs was estimated to be 823,073 among over the age of 18 years in 2012 (95 % confidence interval (CI): 623,614–1,040,532). Among these clinical UTIs, 626,046 (95 % CI: 465,196–786,896) were confirmed by positive urine cultures, and 518,446 (95 % CI: 381,981–654,911) of these UTIs were due to E. coli.
Direct UTI costs in France
Estimated proportion of patients consuming at least one care modalityc
Mean cost per care modalityc
Societal cost (millions €)
French National Health Insurance cost (millions €)
Patient dost (before private complementary millions €)
GP (after inclusion)
13 % (9–19 %)
1 % (0.4–3 %)
0.4 % (0.06–2 %)
2.5 % (1–5 %)
24 % (18–31 %)
8 % (5–12 %)
0.3 % (0.1–2 %)
39 % (30–49 %)
64 % (55–73 %)
13 % (10–17 %)
4 % (2–8 %)
0.06 % (0.01–1.2 %)
At least one diagnostic test was performed for 29 % of the women (95 % CI: 22–36 %) including 24 % (95 % CI: 18–31 %) of women who underwent a urine culture and 8 % (95 % CI: 5–12 %) who underwent an ultrasound (Table 3). Nine percent (95 CI: 0–19 %) of women who underwent an ultrasound had a history of urinary tract abnormality. The mean costs per patient were €11.54 (95 % CI: €8.81–14.26) from the societal perspective and €7.27 (95 % CI: €5.54–8.99) from the French National Health Insurance perspective. Among these tests, 52 % (95 % CI: 43–60 %) were performed outside of the French recommendations.
Antibiotics were prescribed to 98 % (95 % CI: 96–99 %) of the women. Other treatments (i.e., analgesics, antifungals, digestive transit regulators, hormonal treatments, proton pump inhibitors with non-steroidal anti-inflammatory drugs and corticosteroids for cases with antibiotic allergies) were prescribed to 17 % (95 % CI: 13–22 %) of the women (Table 3). The mean costs per patient were €12.68 (95 % CI: €11.53–13.83) from the societal perspective and €7.30 (95 % CI: €6.60–8.01) from the French National Health Insurance perspective.
Only one patient in this study was hospitalized for pyelonephritis. This hospitalization cost was €1240.67 (Table 3). The mean costs were patient was €1.13 (95 % CI: €0–3.28) from the societal perspective and €0.86 (95 % CI: €0–2.51) from the French National Health Insurance perspective.
Morbidity costs: Loss of productivity due to absenteeism due to urinary tract infection (UTI) in France
French National Health Insurance perspective
Estimated proportion of patients with sick leave (% (95 % CI))a
Sick leave daily cost (euros)
Estimated proportion of patients with sick leave longer than 3 days
Daily allowances daily cost (euros)
Women visiting GP for suspected UTI
9 % (7–13 %)
1 % (0.6–3 %)
0.3 % (0.04–2 %)
0.05 % (0.01–0.1 %)
5 % (3–8 %)
1 % (0.03–3 %)
3 % (1–5 %)
0.1 % (0.2–1 %)
1 % (0.3–2 %)
0.1 % (0.02–1 %)
Total cost (million euros)
Mean urinary tract infection costs per patient from the perspectives (in euros)
French National Health Insurance perspective
Mean cost (95 % confidence interval)
Total cost (million euros)
Costs of suspected UTIs with negative urine cultures
Among the urine cultures, 75 % (95 % CI: 70–79 %) were positive. E. coli was the most common pathogen (77.4 %; 95 % CI: 73–81 %). The care consumptions were similar among women with positive and negative urine cultures. The mean cost per patient did not significantly differ between the two groups, i.e., €70.96 (95 % CI: €58.99–82.92) for the women with positive urine cultures and €66.13 (95 % CI: €48.39–83.87) for the women with negative urine cultures (p = 0.60). From the societal perspective, the total cost of suspected UTIs with negative urine cultures was €13.6 million (23 % of the total UTI costs).
Mean costs of UTIs due to antibiotic-resistant E. coli and wild E. coli
Among the E. coli-positive urine cultures, 38 % (95 % CI: 31–45 %) were resistant to at least one antibiotic, and 19 % (15–24 %) were multi-resistant. The care consumptions were similar for the women infected with resistant and wild E. coli. The mean cost per patient for UTIs due to wild E. coli was €74.76 (95 % CI: €57.61–91.91), which did not significantly differ from the mean UTI cost due to E. coli strains that were resistant to at least one antibiotic (€67.44; 95 % CI: €43.93–90.95; p = 0.63) or the mean UTI cost due to multi-resistant E. coli (€74.49; 95 % CI: €30.87–118.11; p = 0.99).
This initial study conducted in France on the costs of community UTIs in women over 18 years of age estimated a total cost from the societal perspective of €58 million in 2012, €44 million for direct costs and €14 million for indirect costs. Half of this cost was supported by the French National Health Insurance, and half was supported by the patients (before private complementary health insurance participation). Visits represented the largest expense item followed by sick leave and prescription drugs. Although very expensive, hospitalizations were rare and therefore represented the smallest expense item. The costs for 75 % of the women were below the mean cost. Additional visits with specialist physicians, ultrasounds, hospitalizations and sick leave concerned less than one quarter of the women. The important costs of these additional health care procedures clearly increased the mean UTI cost.
An important strength of this study was the use of a sampling design. This allowed to correct the bias due to drop-outs and geographical repartition and to generalize with caution the cost of UTIs to the population of women over 18 years of age who visit GPs for presumed UTIs. Furthermore, to estimate the possible costs according to expense items as accurately as possible, the maximum amounts of data from the French National Health Insurance and the French National Institute of Statistics and Economic Studies were used. The use of the EGB allowed for the accounting of possible differences in care consumption according to gender and excess fees according to medical specialties and French departments, particularly in terms of the costs of physician visits . The systematic collection of urine sample from all women who visited their GPs for suspected UTIs permitted the distinction between clinical UTIs with positive urine cultures from clinical UTIs with negative urine cultures and the estimation of their related costs. Furthermore, to estimate the real cost, the women’ declarations were preferred to the GPs’ declaration to account only for prescriptions that were actually utilized or purchased.
This study has some limitations that might have resulted in the over- or underestimation of the costs of UTIs. First, the cost generalization should be interpreted with caution: women suffering from UTIs without dysuria, frequent or urgent of urination were not included, which could decrease the estimated cost of UTIs; patients included had more symptoms than eligible patients, which could influence the achievement of diagnostic test, especially lower back pain with suspected pyelonephritis; the socio economic status was not available for eligible women, preventing to compare eligible and included patients on this point. However, in our study, there were more workers and less non-economically active persons than in the general population. This is concordant with the French inequalities of health care recourse: unemployed and retired persons seek less care than economically active persons . Second, the costs calculated in this study were for women who visited GPs and not for the general population. The estimation of the costs of UTIs among the general population would have required the estimations of the costs of women who visited hospital emergencies departments and specialists (i.e., urologists and gynecologists). Third, the data used to estimate the non-medical direct costs (i.e., time lost and monetary expenses), intangible costs (i.e., loss of well-being for the patient and her close family and friends) and presenteeism costs (i.e., the loss of productivity due to a UTI while the patient was working) were not available. Fourth, the friction cost method was chosen to determinate the indirect costs. The cost’s results should be interpreted with caution because this method is controversial in cases of short-term disease. The human capital approach overstates the production lost because the sick employee’s colleagues can offset the absence via increased productivity . Consequently, the estimates of friction costs should represent the upper bound of the estimates of the short-term indirect costs . However, in cases involving teamwork, the absence of an employee can also reduce the production of several employees . Fifth, although the study was designed to exclude the costs of reinfection, the women who were symptomatic at 2 weeks might have experienced a reinfection between the second and the eighth weeks, and these costs were taken into account because differences between relapses and reinfections could not be identified during this period. Sixth, the costs of long-term symptomatic failure (i.e., the persistence of symptoms after 8 weeks) could not be taken into account because the follow-up period stopped after 8 weeks. Seventh, from the patient perspective, the costs could have been overestimated because some companies might have paid their employees during their sick leaves; or these costs could also have been underestimated because there were no data from which excess fees for medical imaging procedures could be assessed. Another point from the patient perspective is the costs of over the counter drugs, which could not still have been accounted for because costs differ between retail outlets. None of these data were available. As last limitation, the results of diagnostic tests prescribed by physicians were not collected.
According to Foxman , 10.8 % of women over 18 years of age experience at least one UTI per year, which represents more than 2.5 million people in France as of 1 January 2012 . In our study, the estimated number of women who visited a GP for a UTI was estimated to 832,073 (95 % CI = 623,614–1,040,532) in 2012. However, the rate of care seeking for UTIs in France is unknown. Some women with UTI symptoms might have spontaneously recovered healed , visited other specialists (e.g., gynecologists and urologists) or emergency departments. The yearly number of emergency visits for UTIs is estimated to 410 000 (2.3 % of the 18 million of emergency visits), half less than in primary care [42, 43].
In Italy, the mean annual direct cystitis cost (i.e., physician visits, diagnostic tests and prescription drugs) from the Italian National Health Service (NHS) perspective was evaluated to be €229 per patient between January 2007 and December 2010 . Each patient had an average of 4.5 episodes per year. The cost for the Italian NHS was higher than the cost for the French National Health Insurance. However, the women included in the Italian study visited referral centers for the treatment of cystitis, which might have resulted in the selection of more complicated UTIs. In the United Kingdom, a cost analysis was performed to evaluate the mean monthly direct UTIs costs in women between the ages of 18 and 70 years who were seen by a GP or a nurse between 2005 and 2006 from the NHS perspective. The mean monthly direct UTI costs were estimated at £30.60 when the UTIs were treated with empirical antibiotic therapy and £37.10 when urine cultures were performed . The cost differences between this study and the present French study may have been related to the systematic one-month follow-up (with no differences between relapse and reinfection) used in the English study and the higher remuneration of English GPs (approximately 30 % greater than that of French GPs in 2008 ). In the United States in 2010, the annual direct and indirect UTI cost was estimated at $2.3 billion . Considering that the American population was approximately five times greater than the French population in 2012, the American cost was six times greater than the French cost. This difference could be explained by the costs of physician visits and diagnostic tests, which are three to ten times more expensive in the United States than in France . Cost-effectiveness studies have found that most cost-effective treatment is the empirical use of antibiotics that are effective against E. coli [12, 49, 50]. Furthermore, in the present French study, the mean UTI cost due to wild E. coli was not significantly different from the mean UTI cost due to antibiotic-resistant E. coli. This lack of a difference could have resulted from our use of systematic urine analyses. Even without antibiotics, 20 % of women recover from uncomplicated lower UTIs within 3 days and 26 % recover within one week [41, 51]. The effect of inadequate antibiotic prescription should be studied in greater detail and might have little influence on the consumption of care by women who visit GPs for UTIs.
Approximately one quarter of the suspected UTIs seen in general practice had negative urine cultures. This illustrates the limits of the clinical diagnosis of urinary tract infections. The probability of having an UTI for a woman with urinary symptoms is 48 % ; this probability increases if dysuria, urinary frequency or hematuria is present . This suspected UTIs with negative urine cultures had a significant influence on cost, i.e., more than 23 % of the overall UTI cost. The environmental influence of antibiotic therapy for these women cannot be neglected due to the risk of the selection of resistant bacteria . More than half of diagnostic tests performed for UTIs were prescribed outside of the recommendations as previously reported by other authors . It is interesting to consider how to the prescription of potentially unnecessary and environmentally harmful treatments the administration of potentially inappropriate diagnostic tests can be prevented.
In the current economic context in which the costs of care are continually increasing, the present study estimated that the cost of UTIs among women who visited their GPs was €58 million from the societal perspective, and half of this value was reimbursed by the French National Health Insurance. This study provides new perspectives regarding the possibility of reducing the cost of the management of this pathology without reducing the quality of care, particularly via the prescription of diagnostic tests. For women with negative urine cultures, the development of new effective diagnostic tools could reduce antibiotic prescriptions and the costs of these UTIs. Another study should be performed to estimate the total UTI costs in France that includes the costs of women who visit hospital emergencies departments and specialists (e.g., urologists and gynecologists).
CCAM, common classification of medical acts; EGB, general sample of beneficiaries; GHS, hospital stay-related group; GP, general practitioners; CI, confidence interval; INSEE, French National Institute of Statistics and Economic Studies; NABM, nomenclature of medical biology acts; NHS, national health service; UTI, urinary tract infection
We thank all of the GPs and their patients.
We thank the experts for their encouragement and comments, which allowed us to improve the manuscript.
The authors report grants from the Health General Direction of France (DGS), the Corporate Foundation GPM, the French Urology Association that were utilized for the conduction of this study. These agencies had no role in the study design, data collection, analyses, decision to publish or preparation of this manuscript.
Availability of data and materials
Questionnaires are available in supplementary files. Data used in this study are available from the Sentinelles network upon request (email@example.com).
MF, LR, BD, SM, SV, BC and TH conceived and designed the experiments. MF, LR, SM and BH performed the experiments. MF, CS, MS and CR analyzed the data. MF, LR, CS, BD, SM, SV, MS, YLS, BC and TH wrote the paper. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The Druti and its ancillary studies obtained research authorization from the French independent administrative authority protecting privacy and personal data (CNIL) under number 911 485 and from the local human investigation committee of Ile de France V.
Written informed consent was obtained from all study participants.
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- Nicolle LE. Epidemiology of urinary tract infections. Clin Microbiol Newsl. 2002;24(18):135–40.View ArticleGoogle Scholar
- Foxman B. Epidemiology of urinary tract infections: incidence, morbidity, and economic costs. Am J Med. 2002;113(1):5–13.View ArticleGoogle Scholar
- Kunin CM. Urinary tract infections in females. Clin Infect Dis Off Publ Infect Dis Soc Am. 1994;18(1):1–10. quiz 11–2.View ArticleGoogle Scholar
- Foxman B, Barlow R, D’Arcy H, Gillespie B, Sobel JD. Urinary tract infection: self-reported incidence and associated costs. Ann Epidemiol. 2000;10(8):509–15.View ArticlePubMedGoogle Scholar
- Laupland KB, Ross T, Pitout JDD, Church DL, Gregson DB. Community-onset urinary tract infections: a population-based assessment. Infection. 2007;35(3):150–3.View ArticlePubMedGoogle Scholar
- Le TP, Miller LG. Empirical therapy for uncomplicated urinary tract infections in an era of increasing antimicrobial resistance: a decision and cost analysis. Clin Infect Dis. 2001;33(5):615–21.View ArticlePubMedGoogle Scholar
- Goossens H, Ferech M, Vander Stichele R, Elseviers M, ESAC Project Group. Outpatient antibiotic use in Europe and association with resistance: a cross-national database study. Lancet Lond Engl. 2005;365(9459):579–87.View ArticleGoogle Scholar
- Costelloe C, Metcalfe C, Lovering A, Mant D, Hay AD. Effect of antibiotic prescribing in primary care on antimicrobial resistance in individual patients: systematic review and meta-analysis. BMJ. 2010;340:c2096.View ArticlePubMedGoogle Scholar
- Cullen IM, Manecksha RP, McCullagh E, Ahmad S, O’Kelly F, Flynn RJ, et al. The changing pattern of antimicrobial resistance within 42 033 Escherichia coli isolates from nosocomial, community and urology patient-specific urinary tract infections, Dublin, 1999–2009. BJU Int. 2012;109(8):1198–206.View ArticlePubMedGoogle Scholar
- Ikäheimo R, Siitonen A, Heiskanen T, Kärkkäinen U, Kuosmanen P, Lipponen P, et al. Recurrence of urinary tract infection in a primary care setting: analysis of a 1-year follow-up of 179 women. Clin Infect Dis Off Publ Infect Dis Soc Am. 1996;22(1):91–9.View ArticleGoogle Scholar
- Schappert SM. Ambulatory care visits to physician offices, hospital outpatient departments, and emergency departments: United States. Ambul Outreach. 1996;1998:8–11.Google Scholar
- Rosenberg M. Pharmacoeconomics of treating uncomplicated urinary tract infections. Int J Antimicrob Agents. 1999;11(3–4):247–51. discussion 261–4.View ArticlePubMedGoogle Scholar
- Flahault A, Blanchon T, Dorléans Y, Toubiana L, Vibert JF, Valleron AJ. Virtual surveillance of communicable diseases: a 20-year experience in France. Stat Methods Med Res. 2006;15(5):413–21.View ArticlePubMedGoogle Scholar
- Rossignol L, Maugat S, Blake A, Vaux S, Heym B, Le Strat Y, et al. Risk factors for resistance in urinary tract infections in women in general practice: A cross-sectional survey. J Infect. 2015;71(3):302–11.Google Scholar
- Société française de microbiologie. Recommandations du comité de l’antibiogramme de la société française de microbiologie. 2013. http://www.sfm-microbiologie.org/UserFiles/files/casfm/CASFM2013vjuin.pdf. Accessed 18 Apr 2014.
- European Commitee on Antimicrobial Susceptibility Testing. Breakpoint Tables for Interpretation of MICs and Zone Diameters. 2013. http://www.eucast.org/clinical_breakpoints/. Accessed 12 Nov 2014.
- Collège des économistes de la santé. Actualisation partielle du Guide méthodologique pour l’évaluation économique des stratégies de santé. Collège des économistes de la santé; 2011. http://www.has-sante.fr/portail/upload/docs/application/pdf/2011-11/annexe_b_actualisation_guide_ces.pdf.
- Hooton TM. Recurrent urinary tract infection in women. Int J Antimicrob Agents. 2001;17(4):259–68.View ArticlePubMedGoogle Scholar
- Franco AVM. Recurrent urinary tract infections. Best Pract Res Clin Obstet Gynaecol. 2005;19(6):861–73.View ArticlePubMedGoogle Scholar
- OECD. Purchasing Power Parities (PPPs) Data. 2015. http://www.oecd.org/std/prices-ppp/. Accessed 01 Dec 2015.
- Segel JE. Cost-of-Illness Studies—A Primer. RTI International; 2006. https://www.rti.org/sites/default/files/resources/COI_Primer.pdf.
- De Roquefeuil L, Studer A, Neumann A, Merliere Y. L’échantillon généraliste de bénéficiaires : représentativité, portée et limites. Prat Organ Soins. 2009;40(3):213–23.View ArticleGoogle Scholar
- Maladie A. Bases des medicaments et informations tarifaires. 2014. http://www.ameli.fr/professionnels-de-sante/directeurs-d-etablissements-de-sante/codage/medicaments/base-des-medicaments-et-informations-tarifaires.php. Accessed 2 Apr 2014.Google Scholar
- Maladie A. MEDICAM. 2014. http://www.ameli.fr/l-assurance-maladie/statistiques-et-publications/donnees-statistiques/medicament/medic-am/medic-am-2008-2013.php. Accessed 2 Apr 2014.
- Arrêté du 28 février 2012 fixant pour l’année 2012 les éléments tarifaires mentionnés aux I et IV de l’article L. 162-22-10 du code de la sécurité sociale et aux IV et V de l’article 33 modifié de la loi de financement de la sécurité sociale pour 2004. JORF n°0051. 2012. http://www.legifrance.gouv.fr/affichTexte.do?cidTexte=JORFTEXT000025413804&dateTexte=&categorieLien=id. Accessed 7 Feb 2014.
- Décrets, arrêtés, circulaires. Journal officiel de la République française. 2012. http://www.ameli.fr/fileadmin/user_upload/documents/Arrete_du_14_fevrier_2012-prestations_MCO.pdf. Accessed 23 Jun 2014.
- Koopmanschap MA, Rutten FFH, van Ineveld BM, van Roijen L. The friction cost method for measuring indirect costs of disease. J Health Econ. 1995;14:171–89.View ArticlePubMedGoogle Scholar
- INSEE (Institut National de la Statistique et des Etudes Economiques). Nombres d’heures travaillées et rémunération horaire. 2014. http://www.insee.fr/fr/themes/detail.asp?reg_id=0&ref_id=ir-irsocess10#IRSOCESS10_HT. Acceded 2 May 2014
- INSEE (Institut National de la Statistique et des Etudes Economiques). Durée de travail des personnes travaillant à temps complet en 2012. 2014. http://www.insee.fr/fr/themes/tableau.asp?reg_id=0&ref_id=NATnon03259. Acceded 24 Feb 2014.
- Sultan-Taieb H, Tessier P, Bejean S. Capital humain et coûts de friction. Quels critères de choix pour l’évaluation des pertes de production? Rev Économique. 2009;60:293–306.View ArticleGoogle Scholar
- URSSAF. Taux de cotisation du régime générale de sécurité sociale. 2014. https://www.urssaf.fr/portail/home/taux-et-baremes/taux-de-cotisations/les-employeurs/les-taux-de-cotisations-de-droit.html. Accessed 21 Mar 2014.
- Assurance maladie. Vous êtes en arrêt de travail pour maladie. 2014. http://www.ameli.fr/assures/droits-et-demarches/par-situation-medicale/vous-etes-en-arret-de-travail-pour-maladie/salarie-vos-indemnites-journalieres_rhone.php. 25 Feb 2014
- Service-Public.fr - Le site officiel de l’administration française. Indemnités journalières en cas de maladie non professionnelle. 2014. https://www.service-public.fr/particuliers/vosdroits/F3053. 25 Feb 2014
- Magiorakos A-P, Srinivasan A, Carey RB, Carmeli Y, Falagas ME, Giske CG, et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect Off Publ Eur Soc Clin Microbiol Infect Dis. 2012;18(3):268–81.Google Scholar
- Team RC. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2012. [Internet]. ISBN 3-900051-07-0; 2014. https://www.r-project.org/. Accessed 12 Oct 2015.
- Lumley T. Survey: analysis of complex survey samples. 2014. http://cran.r-project.org/web/packages/survey/index.html. Accessed 8 Sep 2014.
- Jusot F. Les inégalités de recours aux soins: bilan et évolution. Rev DÉpidémiologie Santé Publique. 2013;61:S163–9.View ArticleGoogle Scholar
- Despres C, Dourgnon P, Fantin R, Jusot F. Le renoncement aux soins pour raisons financières: une approche économétrique [Internet]. 2011. IRDES, Available from: http://archive.cfecgc.org/e_upload/pdf/irdesnov2011.pdf. Accessed 17 May 2016.Google Scholar
- Pauly MV, Nicholson S, Xu J, Polsky D, Danzon PM, Murray JF, et al. A general model of the impact of absenteeism on employers and employees. Health Econ. 2002;11(3):221–31.View ArticlePubMedGoogle Scholar
- INSEE (Institut National de la Statistique et des Etudes Economiques). Population totale par sexe et âge au 1er janvier 2014. 2014. Available from: http://www.insee.fr/fr/themes/detail.asp?reg_id=0&ref_id=bilan-demo&page=donnees-detaillees/bilan-demo/pop_age2b.htm. Accessed 28 Apr 2014.
- Christiaens TCM, De Meyere M, Verschraegen G, Peersman W, Heytens S, De Maeseneer JM. Randomised controlled trial of nitrofurantoin versus placebo in the treatment of uncomplicated urinary tract infection in adult women. Br J Gen Pract. 2002;52(482):729–34.PubMedPubMed CentralGoogle Scholar
- Elkharrat D, Brun-Ney D, Cordier B, Goldstein F, Péan Y, Sanson-Le-Pors MJ, et al. Prescriptions d’antibiotiques dans 34 services d’accueil et de traitement des urgences français. Médecine Mal Infect. 2003;33(2):70–7.View ArticleGoogle Scholar
- Sécurité sociale. Les urgences hospitalières: une fréquentation croissante, une articulation avec la médecine de ville à repenser [Internet]. Cours des comptes. 2014 Available from: http://www.ccomptes.fr/Publications/Recherche-avancee/(filters)/root-parent_juridiction_s:Cour%20des%20comptes$root-keywords_k:urgences%20hospitali%C3%A8res. Accessed 17 May 2016
- Ciani O, Grassi D, Tarricone R. An economic perspective on urinary tract infection: the “costs of resignation.”. Clin Drug Investig. 2013;33(4):255–61.View ArticlePubMedGoogle Scholar
- Turner D, Little P, Raftery J, Turner S, Smith H, Rumsby K, et al. Cost effectiveness of management strategies for urinary tract infections: results from randomised controlled trial. BMJ. 2010;340:c346.View ArticlePubMedPubMed CentralGoogle Scholar
- Fujisawa R, Lafortune G. The remuneration of general practitioners and specialists in 14 OECD countries : what are the factors influencing variations across countries ? Directorate for employment, labour and social affairs - Health committee; 2008. http://www.oecd-ilibrary.org/docserver/download/5ksqfch1dcg1.pdf?expires=1470298335&id=id&accname=guest&checksum=EA073415F4CDBF56E40E8C6F410517C9.
- Foxman B. Urinary Tract Infection Syndromes. Infect Dis Clin North Am. 2014;28(1):1–13.View ArticlePubMedGoogle Scholar
- International Federation of Health Plans. 2012 Comparative Price Report. Variation in medical and hospital prices by country. 2012. http://hushp.harvard.edu/sites/default/files/downloadable_files/IFHP%202012%20Comparative%20Price%20Report.pdf. Accessed 20 Jul 2014.
- Fenwick EA, Briggs AH, Hawke CI. Management of urinary tract infection in general practice: a cost-effectiveness analysis. Br J Gen Pract J R Coll Gen Pract. 2000;50(457):635–9.Google Scholar
- Parienti JJ, Lucet JC, Lefort A, Armand-Lefèvre L, Wolff M, Caron F, et al. Empirical therapies among adults hospitalized for community-acquired upper urinary tract infections: A decision-tree analysis of mortality, costs, and resistance. Am J Infect Control. 2015;43(9):e53–9.Google Scholar
- Ferry SA, Holm SE, Stenlund H, Lundholm R, Monsen TJ. Clinical and bacteriological outcome of different doses and duration of pivmecillinam compared with placebo therapy of uncomplicated lower urinary tract infection in women: the LUTIW project. Scand J Prim Health Care. 2007;25(1):49–57.View ArticlePubMedPubMed CentralGoogle Scholar
- Medina-Bombardó D, Seguí-Díaz M, Roca-Fusalba C, Llobera J, Dysuria team. What is the predictive value of urinary symptoms for diagnosing urinary tract infection in women? Fam Pract. 2003;20(2):103–7.View ArticlePubMedGoogle Scholar
- Bent S, Nallamothu BK, Simel DL, Fihn SD, Saint S. Does this woman have an acute uncomplicated urinary tract infection? JAMA. 2002;287(20):2701–10.View ArticlePubMedGoogle Scholar
- Conclusions of the European Union Conference on “The microbial threat”, 9–10 September 1998. The Copenhagen Recommendation. Ministry of Health Ministry of Food, Agriculture and Fisheries. Vet Res. 1999 Feb;30(1):119–22.Google Scholar
- Haab F, Costa P, Colau J-C, Gérard A, Liard F, Bohbot J-M, et al. Les infections urinaires de la femme en médecine générale: résultats d’un observatoire réalisé auprès de 7916 patientes. Presse Med. 2006;35(9, Part 1):1235–40.View ArticlePubMedGoogle Scholar