Abstract
Objectives
Endoscopic sinus surgery (ESS) is a common operation typically performed due to chronic rhinosinusitis (CRS). There are limited data on the nationwide ESS rate and factors contributing to its regional variation. The aim was to evaluate factors causing variation of ESS rate.
Design
Cross-sectional nationwide observational study.
Setting
A ll patients undergoing ESS in Finland 2013–2015.
Population
Nationwide Finnish population aged 15 years or over.
Main outcome measures
ESS rate per 1000 inhabitants between 2013 and 2015 in all 21 hospital districts and independent factors for multilevel model analyses.
Methods
We used the Finnish register data of all patients with CRS who underwent ESS in 2013–2015. Patients aged under 15 years and those with ESS due to neoplasia were excluded. The age and gender standardised ESS rates were calculated, and multilevel Poisson regression models were used to evaluate variation in ESS in the 21 hospital districts. The likelihood ratio test was applied to assess the statistical significance of random components in the models.
Results
The nationwide annual rate of ESS is 0.71 per 1000 people in Finland. Hospital district rates varied from 0.25/1000 (95% CI 0.18 to 0.32) to 1.15/1000 (95% CI 1.09 1.21). Compared with males, females undergo ESS significantly more frequently (57% of the procedures), more often due to CRS without nasal polyps, and at a younger age (mean age 44.2 and 46.2 years, correspondingly). Multilevel analyses showed that lower age (between 24 years and 45 years) and availability/ease of medical services were independently associated with higher ESS rates.
Conclusions
This study confirms marked regional variation in the ESS rate in Finland, explained only in part by patients’ age and differing availability of medical services. To analyse ESS across different CRS phenotypes or to compare quality registers on ESS properly, more research on regional variation is needed.
Keywords: surgery, ginusitis, register, chronic rhinosinusitis, nasal polyps
Strengths and limitations of this study.
Strengths of this study comprise a population-based nationwide design including all patients undergoing ESS in both public and private hospitals in Finland for the study years and information concerning the diagnoses, procedures performed and individual level demographic data.
The completeness and accuracy of the hospital discharge register have consistently been shown to be good.
Multilevel models enabled us to capture the hierarchical nature of the data (patients nested in hospital districts) allowing us to analyse the association more efficiently.
A limitation is that no data on the need for sinus surgery are provided as no register data exist concerning the prevalence of conditions leading to endoscopic sinus surgery.
Our data did not include information on health behaviours, earlier treatment of the condition or clinical information.
Introduction
Chronic rhinosinusitis (CRS) is a clinical disorder encompassing a heterogeneous group of endotypes and two main phenotypes.1 It is one of the most common chronic adult health problems in the Western world with a prevalence of 6%–11%.1–4 CRS has an independent and severe impact on the quality of life similar to chronic diseases such as asthma, chronic obstructive pulmonary disease (COPD) and diabetes.1 In the USA, the CRS-related healthcare costs are estimated to be $6.9–$9.9 billion dollars per year.5
The predisposing factors of CRS include genetic and airborne factors in addition to host immunity.1 6 7 CRS is associated with airway allergy, asthma and COPD.1 8 CRS with nasal polyps (CRSwNP) and CRS without nasal polyps (CRSsNP) are considered to be phenotypes of CRS, with presumably different aetiologies and pathomechanisms.1 CRSwNP affects between 1% and 4% of the general population.1
Endoscopic sinus surgery (ESS) has been the most common operative approach for patients with CRS among whom maximal medical treatments have failed.1 ESS is a common procedure, with an estimated 250 000 cases annually in the USA.9–11 ESS also creates a considerable financial burden. One study estimated the total cost of ESS to the UK National Health Service to be in excess of £30 million per year.12
Three non-population-based studies within the USA have shown ESS rates to vary according to geographic area or ethnicity. An observational cohort study performed on the MarketScan Commercial Claim and Encounters database yielded a mean ESS rate of 0.94 per 1000 employed, working-aged people in the USA.9 Moreover, the study showed fourfold to fivefold differences between the states with the highest and lowest rates. Venkatraman et al investigated a 20% sample of Medicare beneficiaries aged 65–99 years. Their study showed an increase in ESS rates for the period 1998–2006.13 The third study based on the MarketScan Medicaid database in the USA reported overall sinus surgery rates per 1000 people in the Medicaid population to range from 0.36 to 0.40 in 2009–2013.13 The ESS rate was significantly lower for African-Americans than for persons of Hispanic origin.
The reasons behind the detected geographic variation in ESS rates are not fully understood. Geographical variation might reflect a number of factors, including both underutilisation and overutilisation of surgery in the treatment of CRS, a lack of clinically unambiguous applicable guidelines and a lack of evidence in well-constructed randomised controlled trials.12 To our knowledge, no previous exhaustive nationwide studies have been conducted on ESS rates and factors affecting the likelihood of the surgical procedure. This nationwide study aimed to examine the number and rates of ESS performed due to inflammatory sinonasal diseases across Finland and putative factors explaining the difference.
Materials and methods
Data
The data of all patients who had undergone ESS by opening the ostiomeatal complex (DMB20) and/or opening the ethmoid sinuses (DNB20) due to sinonasal inflammations in Finland in 2013–2015 were extracted from the hospital discharge register, which registers all ESS procedures in Finland and is maintained by the Institute for Health and Welfare. Patients aged under 15 years and those operated on due to neoplastic lesions were excluded. Patients with CRS under 15 years of age were not included due to potential differences in their disease aetiopathogenesis and treatment.1 Age was classified into 5-year age brackets. Diagnosis was determined as CRSwNPs if any of the main or secondary diagnosis codes were J33.1 Furthermore, if any of the main or secondary diagnosis codes was J32 or the main diagnosis code was J01, the diagnosis was determined as CRSsNPs.1 Recurrent acute rhinosinusitis without nasal polyps (NPs) were regarded as belonging to the CRSsNP group. The rest of the procedures were classified into the group ‘Other diagnoses’. The collected data included information on the ESS procedure, code of diagnosis (ICD10), gender, age, service provider and hospital district in which the patient was living at the time of ESS.
The data concerning hospitals performing ESS was classified into hospital districts, which own the public hospitals. Finland is divided into 21 hospital districts. The public hospitals within the district are owned by the federations of municipalities and mainly serving residents of their catchment area. In Finland, public medical care covers the vast majority (92% in 2014) of all surgical interventions in different medical fields. Patient’s possibility to choose any public hospital in the country increased in the beginning 2014, yet most patients have used the closest public hospital in their home hospital district also after that (https://www.kkv.fi/2016/kkv-selvityksia-3-2016). Both public and private healthcare providers report all hospitalisations and surgical procedures to the same nationwide hospital discharge database.
National population data in hospital districts were tabulated by gender and age in 5-year age brackets from Statistics Finland’s website (http://www.stat.fi/til/vaerak/index_en.html) for the years 2013–2015. The number of working-aged physicians and ENT doctors was retrieved from the website of the Finnish Medical Association (https://www.laakariliitto.fi/tutkimus/laakarityovoima).
The institute granted the permission to use hospital discharge register data for the patient population as the competent register authority in charge of the register.
Patient and public involvement
This study used national register data and did not involve patients in the recruitment or conduct of the study.
Statistical analyses
The data were tabulated by hospital district according to patients’ residence. To reduce random variability, all analyses were performed for the whole study period from 2013 to 2015, but results were presented as annual averages. Due to the small number of cases, the smallest district of Åland islands (24 000 inhabitants aged over 15 years) was included only in the total number of ESS but excluded from the multilevel models.
We calculated age-adjusted and gender-adjusted rates of ESS in hospital districts using a direct standardisation method with the population structure of Finland in 2013–2015 as the standard population. Two-level Poisson regression models adjusted for age group with hospital district as random level and logarithm of population at risk as an offset variable were conducted to model the regional variation in ESS. Next, factors indicating proportion of operations performed by private ENT service providers, proportions of CRSwNP and CRSsNP and proportion of operations performed outside the hospital district of patients’ residence in each stratum, as well as the density of physicians in hospital districts were added to the models. Models were estimated separately for men and women, as descriptive analyses revealed differing ESS profiles between them. Multilevel models were applied to capture the hierarchical nature of the data, and effects of explaining factors were reported as risk ratios. Wald test was applied to assess the statistical significance of the variance term denoting variation at the hospital district level. Pearson’s χ2 test was used to test the distribution of diagnoses in hospital districts. A 95% CI was used to indicate statistical significance. Statistical analyses were performed by using SPSS V.22 and SAS V.9.3 software.
Results
Variation in ESS rates
In 2013–2015, the total number of ESS was 9640, and the nationwide mean rate was 0.71 procedures per 1000 inhabitants. Three per cent of the patients underwent ESS twice or three times during this period. Operations were more common among women (age-standardised rates: 0.79/1000 and 0.62/1000, respectively). The mean age at the time of ESS was 44.0 (SD 15.9) years in females and 46.1 (SD 15.8) years in males (figure 1). The ESS rate of working-aged patients with CRS (aged 26–65 years) was higher (0.86/1000) than the one among older patients with CRS aged 65 years or older (0.35/1000). No significant differences were found in the age distribution of ESS patients between the hospital districts. Of all ESS procedures, 87% were performed by community-run public healthcare providers and 96% in the patient’s home district (HD).
Seventy-two per cent of patients (62% of males, 80% of females) who underwent ESS were diagnosed as having CRSsNP. Twenty per cent of patients (30% of males, 13% of females) were diagnosed as having CRSwNP. Other diagnoses (7%) included paranasal cysts or mucoceles, hypertrophy of turbinates and miscellaneous reasons.
The mean ESS rates per 1000 inhabitants aged over 15 years in the 21 districts are shown in the heatmap (figure 2). Hospital district rates varied from 0.25/1000 (95% CI 0.18 to 0.32) to 1.15/1000 (1.09 to 1.21) denoting a fourfold difference. The proportion of patients operated on for CRSsNP and CRSwNP varied significantly between districts (p<0.001).
Multilevel models of factors affecting the variation in ESS rate
The multilevel models were created in order to study the level of variation in the probability of ESS between the hospital districts to examine whether certain factors had an independent effect on ESS and to assess whether the variation found between hospital districts could be explained by these factors.
Table 1 presents the results of multilevel modelling. In women, after adjusting for age, there was significant variation at the hospital district level (p<0.001). After adjusting for independent factors, the regional variation in ESS rates remained significant (p<0.001). In men, we found significant variation at the hospital district level after adjusting for age (p<0.001). Again, after adjustment for independent factors, the regional variation in ESS remained significant (p<0.001). No differences from the national average were found in half of the home districts after controlling for age only among both men and women. Controlling for other independent factors levelled out the operation risk compared with the national average in seven home districts among men and four among women. However, part of the variation between hospital districts remained unexplained.
Table 1.
Variable | Men | Women | ||
Null model | Adjusted model | Null model | Adjusted model | |
RR (95% CI) | RR (95% CI) | RR (95% CI) | RR (95% CI) | |
Age (years) | ||||
15–24 | 1.29 (1.11 to 1.51) | 1.16 (0.96 to 1.39) | 2.72 (2.39 to 3.11) | 2.71 (2.31 to 3.18) |
25–34 | 1.79 (1.55 to 2.06) | 1.68 (1.45 to 1.95) | 3.87 (3.41 to 4.39) | 3.87 (3.38 to 4.42) |
35–39 | 2.59 (2.23 to 3.02) | 2.40 (2.05 to 2.81) | 4.65 (4.06 to 5.32) | 4.63 (4.00 to 5.36) |
40–44 | 2.57 (2.20 to 3.00) | 2.48 (2.12 to 2.90) | 4.80 (4.19 to 5.50) | 4.76 (4.13 to 5.49) |
45–49 | 2.49 (2.14 to 2.90) | 2.35 (2.01 to 2.75) | 3.77 (3.28 to 4.34) | 3.73 (3.24 to 4.29) |
50–54 | 2.40 (2.06 to 2.80) | 2.24 (1.91 to 2.63) | 3.60 (3.13 to 4.14) | 3.56 (3.09 to 4.10) |
55–59 | 2.23 (1.90 to 2.60) | 2.06 (1.75 to 2.42) | 3.72 (3.24 to 4.27) | 3.69 (3.21 to 4.25) |
60–64 | 1.99 (1.69 to 2.33) | 1.88 (1.59 to 2.23) | 2.48 (2.14 to 2.88) | 2.46 (2.11 to 2.86) |
65–69 | 1.74 (1.48 to 2.06) | 1.72 (1.46 to 2.04) | 1.92 (1.63 to 2.25) | 1.90 (1.62 to 2.23) |
70+ | 1.00 | 1.00 | 1.00 | 1.00 |
% private ORL | 2.24 (1.49 to 3.38) | 1.22 (0.74 to 2.01) | ||
% CRSsNP | 0.73 (0.42 to 1.30) | 1.00 (0.56 to 1.76) | ||
% CRSwNP | 0.96 (0.56 to 1.66) | 1.27 (0.67 to 2.42) | ||
% outside HD | 0.49 (0.30 to 0.81) | 0.89 (0.49 to 1.64) | ||
Physician density | 1.11 (0.99 to 1.25) | 1.16 (1.02 to 1.33) | ||
HD (Var(SE)) | 0.1299 (0.0464) | 0.0751 (0.0287) | 0.1303 (0.0463) | 0.1012 (0.0381) |
CRSsNP, chronic rhinosinusitis without nasal polyps; CRSwNP, chronic rhinosinusitis with nasal polyps; ESS, endoscopic sinus surgery; HD, home district; ORL, otorhinolaryngologist operation; RR, risk ratio.
Of the independent factors, younger age (p<0.001) and high density of physicians (p=0.026) were significantly associated with a high ESS rate (table 1). Women aged 40–44 years were operated on 4.76 times more frequently than women aged over 70 years. Among men, age (p<0.001) and the proportion of ESS performed by private service providers (p=0.0001) were associated with high operation rates in the district, whereas ESS performed outside the patient’s home district (p=0.004) was significantly associated with a low rate.
The proportion of patients operated on due to CRSwNP varied from one district to another (p<0.001). The range was from 10% to 33%. In multivariate multilevel models, the diagnosis did not explain the risk on the operation rate.
Discussion
To reduce inefficient or unwarranted practice patterns and to improve the overall performance of the health system, it is essential to define the variations in healthcare and the underlying reasons.9 14 We found regional variation in ESS not explained by variations in gender and age of the patient population.
Comparison with other studies
In Finland, the nationwide mean annual rate of ESS among adult patients was 0.71/1000. The number is similar to what another study group has detected in the UK population.12 The ESS rate of working-aged people (0.86/1000) in the current study is fairly close to that reported among the employed cohort in the USA (0.94/1000).9 We demonstrate here that elderly people in Finland are operated on considerably less frequently (0.35/1000) than their peers in the USA (0.92/1000).13 In the present study, there was marked variability in ESS rates between the 21 hospital districts after standardisation of age and gender. We found a fourfold difference between the highest and the lowest regional operation rate. This is in line with the findings in the USA9 13 where up to fivefold differences between the states were observed. Private hospitals, in which 13% of all ESS procedures were performed, lack precise catchment areas in Finland and thereby population at risk. Yet, the risk ratios of the current study suggest that the proportion of private hospitals in the hospital district did have an effect on ESS operations. Nevertheless, the present nationwide study of Finland shows that regional differences exist also in a country with a universal nationwide healthcare system where the procedures are performed mostly in publicly financed institutions.
The effect of independent factors to ESS variation
We demonstrated that ESS is performed 1.3 times more frequently on women than on men. This is in accord with the expected population-based male-to-female ratio of CRS. CRS is estimated to be 1.1–2 times more common in women than in men.2 15 The infection rates in females aged between 20 and 34 years are higher probably due to a greater occupational risk to be exposed to infections relative to men.16 17 This might, in part, enhance the development of CRS in females. In the present study, the mean age of operated females was lower than that of males. This might be due to differences in host–environment interactions and pathomechanisms.18 It is also possible that women use more general healthcare services.19
In this study, the ESS rate of working-aged people (26–65 years) was 2.5 times higher than that of retirement-aged people. Moreover, the multilevel models showed that the patient’s age had an independent effect on ESS rate across Finland, which could putatively be related to differences in life style, operation eligibility or probability to have been already operated.
It is difficult to evaluate the population-based prevalence of CRSwNP and CRSsNP due to limitations of diagnostic methods in primary care. In the European population, the prevalence of CRSwNP has been estimated at 1%–4% and CRSsNP about 10%.1 20 In the present study, 20% of ESS was performed on patients with CRSwNP. This is slightly higher than the ratio of CRSwNP and CRSsNP phenotypes in the literature cited above. It is consistent with the greater need for surgery with nasal polyposis.
ESS due to CRSwNP was performed nearly three times more frequently on males than on females. In a retrospective, cross-sectional American study, data on CRS patients and their non-CRS controls were analysed.18 The authors found that the proportion of females with CRSwNP was 38% and that these women had more severe disease than men.18 In our study, 27% of the operated CRSwNP patients were female. This figure is in line with the previous study. Hypertrophy or air cells of the turbinates does not normally fulfil criteria for ESS and could in part be related to wrong or incomplete insertion of diagnosis code.
Potential factors behind variation in ESS
The multilevel models showed that in females, young age and high density of physicians were significantly associated with a high ESS likelihood. In males, independent factors associated with a high probability of ESS were young age and a high proportion of ESS performed by private ENT specialists. ESS performed out of the patient’s home district was associated with a low operation likelihood. Excluding the age factor, these findings reflect the impact of availability on operation rates. Availability of medical services would mean any kind of ease to get the medical service including distance, queuing time, easiness to get appointment and so on. Higher ESS rates were detected also in hospital districts with a high density of ENT specialists as well as in hospital districts having a university hospital with medical faculty. Yet, due to multicollinearity, these factors could not be included in the multilevel Poisson model. Taken together, our findings suggest that, in addition to the population’s age structure, the availability of medical services has an independent effect on ESS probability.
Putative other reasons for regional variation in ESS rate
In both females and males, after adjusting for age and factors related to the availability of medical services, a clear regional variation remained in ESS, probably due to in part relative indications for ESS In industrialised countries, ESS rate might depend on informed patient choice and the treatment strategies available and the rate can vary extensively because of differences in professional opinions.14 21 Future research should focus more on evidence-based treatments for CRS and indications of ESS in different disease course and phenotypes.
Strengths and limitations of the study
Strengths of this study comprise a population-based nationwide design and reliable register-based data, including information on all surgical procedures performed in Finland.22 Meticulously collected data on diagnosis, operating hospital and patient’s municipality of residence as well as data on the density of physicians and ENT specialists are readily available.
The study includes some limitations that must also be addressed. No data on the need for sinus surgery are provided, as we examined the numbers of operated patients instead of the CRS patient population as no register data exist on the total patient population eligible for the operation. Furthermore, our data did not include information on patient’s socioeconomic status, general health, subjective nasal symptoms or X-ray findings. Despite relatively small regional variation in socioeconomic or ethnic status of the Finnish population, some regional dissimilarities might exist, which could affect the probability of being operated on. We acknowledge that the register-based data have limited information on background factors and thus they could not be added to the multilevel models. A limitation is that paediatric patients with CRS under 15 years of age were not included due to potential differences in their disease aetiopathogenesis and treatment. Future studies should address potential variation in ESS in paediatric population. We acknowledge that lack of data of patient’s allergy and other associating conditions, as well as of ESS costs limit interpretation of the results.
Conclusions
This nationwide study shows that high regional variation in ESS rate exists in Finland where the vast majority of procedures are performed in a public healthcare system. Patient’s age and the availability of medical services are associated with ESS probability. However, these factors explained ESS rate variability only in part. This might create a problem on an unbiased quality control among operating institutions.
Supplementary Material
Footnotes
Contributors: All authors participated in the planning and conception of the study and the analytical strategy. HR, MA, KM and IK performed the data management, analyses, tables and figures. HR, SKT-S and MH wrote the manuscript. All authors critically reviewed the manuscript.
Funding: The study was supported in part by a research grant from the Aatos Erkko Foundation. All authors declare the statement of independence of researchers from the funder.
Competing interests: None declared.
Patient consent: Not required.
Ethics approval: Ethical consent was obtained from the Research Ethics Committee of the Finnish National Institute for Health and Welfare (approval number 9/2016/§746).
Provenance and peer review: Not commissioned; externally peer reviewed.
Data sharing statement: No additional data available.
References
- 1. Fokkens WJ, Lund VJ, Mullol J, et al. European position paper on rhinosinusitis and nasal polyps 2012. Rhinol Suppl 2012;23:3. [PubMed] [Google Scholar]
- 2. Hastan D, Fokkens WJ, Bachert C, et al. Chronic rhinosinusitis in Europe--an underestimated disease. A GA²LEN study. Allergy 2011;66:1216–23. 10.1111/j.1398-9995.2011.02646.x [DOI] [PubMed] [Google Scholar]
- 3. Kim JH, Cho C, Lee EJ, et al. Prevalence and risk factors of chronic rhinosinusitis in South Korea according to diagnostic criteria. Rhinology 2016;54:329–35. 10.4193/Rhin15.157 [DOI] [PubMed] [Google Scholar]
- 4. Pilan RR, Pinna FR, Bezerra TF, et al. Prevalence of chronic rhinosinusitis in Sao Paulo. Rhinology 2012;50:129–38. 10.4193/Rhino11.256 [DOI] [PubMed] [Google Scholar]
- 5. Smith KA, Orlandi RR, Rudmik L. Cost of adult chronic rhinosinusitis: a systematic review. Laryngoscope 2015;125:1547–56. 10.1002/lary.25180 [DOI] [PubMed] [Google Scholar]
- 6. Toppila-Salmi S, van Drunen CM, Fokkens WJ, et al. Molecular mechanisms of nasal epithelium in rhinitis and rhinosinusitis. Curr Allergy Asthma Rep 2015;15:495 10.1007/s11882-014-0495-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Bohman A, Juodakis J, Oscarsson M, et al. A family-based genome-wide association study of chronic rhinosinusitis with nasal polyps implicates several genes in the disease pathogenesis. PLoS One 2017;12:e0185244 10.1371/journal.pone.0185244 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Chien CY, Tai SY, Wang LF, et al. Chronic obstructive pulmonary disease predicts chronic rhinosinusitis without nasal polyps: A population-based study. Am J Rhinol Allergy 2015;29:e75–e80. 10.2500/ajra.2015.29.4172 [DOI] [PubMed] [Google Scholar]
- 9. Rudmik L, Holy CE, Smith TL. Geographic variation of endoscopic sinus surgery in the United States. Laryngoscope 2015;125:1772–8. 10.1002/lary.25314 [DOI] [PubMed] [Google Scholar]
- 10. Bhattacharyya N. Ambulatory sinus and nasal surgery in the United States: demographics and perioperative outcomes. Laryngoscope 2010;120:635–8. 10.1002/lary.20777 [DOI] [PubMed] [Google Scholar]
- 11. Svider PF, Darlin S, Bobian M, et al. Evolving trends in sinus surgery: what is the impact of balloon sinus dilation? Laryngoscope 2018;128 10.1002/lary.26941 [DOI] [PubMed] [Google Scholar]
- 12. Philpott C, Hopkins C, Erskine S, et al. The burden of revision sinonasal surgery in the UK-data from the Chronic Rhinosinusitis Epidemiology Study (CRES): a cross-sectional study. BMJ Open 2015;5:e006680 10.1136/bmjopen-2014-006680 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Venkatraman G, Likosky DS, Morrison D, et al. Small area variation in endoscopic sinus surgery rates among the medicare population. Arch Otolaryngol Head Neck Surg 2011;137:253–7. 10.1001/archoto.2011.17 [DOI] [PubMed] [Google Scholar]
- 14. Wennberg JE. Time to tackle unwarranted variations in practice. BMJ 2011;342:d1513 10.1136/bmj.d1513 [DOI] [PubMed] [Google Scholar]
- 15. Ference EH, Tan BK, Hulse KE, et al. Commentary on gender differences in prevalence, treatment, and quality of life of patients with chronic rhinosinusitis. Allergy Rhinol 2015;6:82–8. 10.2500/ar.2015.6.0120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Bachert C, Holtappels G. Pathophysiology of chronic rhinosinusitis, pharmaceutical therapy options. GMS Curr Top Otorhinolaryngol Head Neck Surg 2015;14:Doc09 10.3205/cto000124 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Heikkinen T, Järvinen A. The common cold. Lancet 2003;361:51–9. 10.1016/S0140-6736(03)12162-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Stevens WW, Peters AT, Suh L, et al. A retrospective, cross-sectional study reveals that women with CRSwNP have more severe disease than men. Immun Inflamm Dis 2015;3:14–22. 10.1002/iid3.46 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Kazanjian A, Morettin D, Cho R. Health care utilization by Canadian women. BMC Womens Health 2004;4(Suppl 1):S33–6874. 10.1186/1472-6874-4-S1-S33 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Chaaban MR, Walsh EM, Woodworth BA. Epidemiology and differential diagnosis of nasal polyps. Am J Rhinol Allergy 2013;27:473–8. 10.2500/ajra.2013.27.3981 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Wennberg JE, Fisher ES, Skinner JS. Geography and the debate over Medicare reform. Health Aff 2002;Suppl Web Exclusives:W96–114. 10.1377/hlthaff.w2.96 [DOI] [PubMed] [Google Scholar]
- 22. Sund R. Quality of the Finnish hospital discharge register: a systematic review. Scand J Public Health 2012;40:505–15. 10.1177/1403494812456637 [DOI] [PubMed] [Google Scholar]
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