Management of Patients with Overactive Bladder in Brazil: A Retrospective Observational Study Using Data From the Brazilian Public Health System.

INTRODUCTION: In Brazil, current data on the use of healthcare resources to manage individuals with overactive bladder (OAB) are lacking. This study aimed to characterize contemporary treatment and the economic burden among patients with OAB managed under the Brazilian public health system (Sistema Único de Saúde [SUS]).
METHODS: Population-based data from January to December of 2015 were acquired from Brazil's public health database. Adults at least 18 years of age with an ICD-10 diagnostic code for OAB within the period were included. Records of outpatient visits, hospitalizations, and onabotulinumtoxinA injections were used to calculate estimates of resource use and costs (in Brazilian reals [R$]) among those with OAB (frequency [%] and mean (standard deviation [SD]) as appropriate). Patient identifiers were not available, so a record linkage methodology was used to match medical encounters to individuals. Pharmacologic management of OAB was informed by government medication purchases available from the official Brazilian government databases.
RESULTS: During 2015, 26,640 patients with OAB were identified. All cohort members had at least one outpatient visit and 15,349 (57.6%) were hospitalized. Of the study cohort, 10.0% visited a general practitioner (GP), 41.3% visited a specialist, and 52.0% visited other non-medical healthcare practitioners within the year. Mean (SD) healthcare costs among the study cohort totaled R$355 (R$866) per patient per year; and were R$291 (R$654), R$27 (R$130), R$27 (R$30), and R$11 (R$17) for hospitalizations, GP, specialist, and non-medical healthcare practitioner visits per patient per year, respectively. Regional analysis of reported government medication purchases suggested that access to OAB treatments is highly limited.
CONCLUSIONS: High resource use and costs were estimated among patients with OAB managed within the SUS. These data provide a snapshot of the management of patients with OAB in Brazil, with the patients seeking treatment under SUS likely representing a more burdened subpopulation.

Key Summary Points

Introduction

Overactive bladder (OAB) is a condition characterized by urinary urgency, with or without urinary incontinence, usually with nocturia, and urinary frequency [1]. Globally, estimates of OAB prevalence are widely variable, ranging between 11.8% and 30% of the adult population, with higher prevalence among older adults [2-4]. Because prevalence increases with age, and the proportion of people surviving into older age is growing, OAB is becoming an increasing burden on the healthcare system and providers [5]. In order to plan for that burden, accurate data on OAB prevalence and the healthcare resources used to manage individuals with OAB are needed.

In Brazil, estimates of the prevalence of OAB range from 7.6% to 25% [6-8]. The most contemporary of these estimates comes from a large population-based initiative that measured the frequency of lower urinary tract symptoms (LUTS) among patients aged 40 years and older. The prevalence of OAB in this study was estimated at approximately 25% (24%, women; 25%, men) [8].

An accurate understanding of the economic burden of OAB requires knowledge of both disease prevalence and contemporary management practices. Internationally, a 2005 study calculated total direct medical and nursing home costs among OAB sufferers in Canada, Germany, Italy, Sweden, Spain, and the UK to be in excess of 7 billion euro per year [9]. These costs are likely underestimates of the total potential burden, as while the majority of adults living with OAB may report their symptoms to a medical professional, a recent European study found that only 27% of individuals living with OAB seek pharmacologic treatment [10]. Presently, there are no published data on the economic burden of OAB in Brazil; however, given the size of Brazil’s population, and the known prevalence of OAB, the economic burden is likely substantial.

Because of a lack of comprehensive studies focusing on the pharmacologic treatment and costs of OAB in Brazil, many unanswered questions remain about the epidemiologic and health economic burden it poses. The overarching aim of this study was to characterize contemporary pharmacologic treatment and the economic burden associated with the management of patients with OAB, from the perspective of the Brazilian public health system.

Methods

Study Design and Patient Population

This population-based retrospective cohort study focused on individuals who access care through the Brazilian public health system (Sistema Único de Saúde [SUS]), which provides healthcare for approximately 70% of the country’s population [11]. Beneficiaries who were 18 years of age or older and had a diagnosis indicative of OAB between January and December 2015 (referred to hereafter as the OAB cohort) were included. A prevalence-based approach was used because limited longitudinal data were available through which to identify newly diagnosed OAB cases. The OAB cohort was identified on the basis of the presence of medical encounters associated with one or more OAB-related International Classification of Diseases (ICD)-10 diagnostic codes (used within the Brazilian public health database) on inpatient or outpatient visits during the study period. As only 4-character ICD-10 codes were available in the Brazilian public health database (O Departamento de Informática do Sistema Único de Saúde, DATASUS), previously published lists of 5-digit ICD-9 codes for OAB [12-15] were mapped to corresponding 4-character ICD-10 codes (N32.8, Other specified disorders of the bladder; N39.4, Other specified urinary incontinence; R35.0, Frequency of micturition, R35.1 Nocturia, R39.1 Other difficulties with micturition, R39.8 Other symptoms and signs involving the genitourinary system) for identification of the cohort. All OAB codes were confirmed with clinical experts.

Data Sources

This study was conducted with population-based data from DATASUS which includes hospital data collected by the SUS Hospital Information System (Sistema de Informações Hospitalares, SIH), and outpatient data collected by the Outpatient Information System (Sistema de Informações Ambulatoriais, SIA) [16-20]. Cost data (included as fields within the SIH and SIA datasets) provided by SUS are based on set fees established by the government and paid to public health providers.

Data were available for de-identified medical encounters in the public health system comprising outpatient visits and hospitalizations. For outpatient visits, these data included the type of practitioner visited and associated costs. Within DATASUS, healthcare practitioners are categorized as general practitioner (GP), specialist, and non-medical healthcare providers (the database does not provide details on the type of practitioner, but it would include physiotherapy and similar types of services). Hospitalizations were identified by an OAB diagnostic code. Each hospitalization can have several diagnostic codes attributed to it; the presence of an OAB code is not necessarily indicative of the cause for the hospitalization. In the data it was indicated whether the patient had been admitted to the emergency room (ER), the intensive care unit (ICU), or a general ward; details on the length of stay, procedure undertaken, and associated costs were also available.

Each patient record includes information on the patient’s state of residence, sex, and age group, as well as diagnostic code(s) [21]; note, unique patient identifiers to link records across different healthcare providers are not available in DATASUS. Therefore, a deterministic approach to linking was undertaken within and between the hospital (SIH) and outpatient (SIA) datasets to link medical encounters with recorded OAB-related ICD-10 codes to individuals [22]. Pseudo-identification numbers were generated by merging all available demographic characteristics from the two datasets (zip code, sex, and age for SIH, and city, sex, and age for SIA).

As dispensation information is only available at the class level within DATASUS, available data proved insufficient to characterize the pharmacologic management of OAB within the public healthcare system. Instead, during the study period, local, state and federal government purchases of medications which are almost exclusively for the treatment of OAB (e.g., darifenacin, oxybutynin, solifenacin, tolterodine, and onabotulinumtoxinA) were analyzed at the level of the region, where available, using information obtained from two government databases: the Sistema Integrado de Administração de Serviços Gerais (SIASG) and Banco de Preços em Saúde (BPS) databases [23, 24]. These data were used to characterize uptake of OAB medications in Brazil within the public health system.

Outcomes for Analysis

The economic burden associated with the management of patients with OAB was characterized by mean (standard deviation [SD]) estimates of healthcare resource use and costs. Parameters summarized included the frequency of GP, specialist, and non-medical healthcare practitioner outpatient visits and associated costs; number of hospitalizations and associated costs; duration of hospital stays; number of hospital visits with codes for onabotulinumtoxinA injections to the bladder and associated costs; and use of pharmaceuticals for OAB management. It should be noted that presently, onabotulinumtoxinA is not eligible for reimbursement for OAB within SUS in Brazil; however, patients may access onabotulinumtoxinA in the private system, at the individual hospital level, and in rare cases through legal action. Costs for hospitalizations, onabotulinumtoxinA injections, and outpatient visits were presented as means (SD) per patient, as well as aggregated to estimate a cost for all medical services recorded among those with OAB for the entire cohort. Overall mean total costs were also calculated by age category. Unless otherwise stated, costs are presented in 2017 Brazilian reals (indicated as R$); one US dollar (US$) was approximately 3.49 Brazilian reals at the time of analysis [25]. Given the study objectives, all analyses were descriptive in nature.

DATASUS is under public domain; as such, approval from an ethics committee was not required [26]. Similarly, no ethics approval was necessary for accessing SIASG and BPS datasets. The study was conducted in accordance with STROBE guidelines for cohort studies.

Results

Cohort Identification and Characteristics

A total of 26,640 individuals were identified as having sought medical attention for their OAB within the Brazilian public health system (SUS) in 2015. On the basis of an estimated adult population of 104 million included in DATASUS, this indicates that approximately 0.026% of the Brazilian population covered by SUS were managed for OAB within the public healthcare system in 2015. Seventy-two percent of the OAB cohort was female, and the mean age was 55.6 (SD 16.9) years (Table 1). The majority of the cohort was resident in the southeast region (52.1%), followed by the northeast (18.4%) (Table 1).

Table 1

Demographic characteristics of the individuals of the OAB cohort (n = 26,640), 2015

	N = 26,640
	n	%
Sex: n (%)
Male	7471	28.0
Female	19,169	72.0
Region: n (%)
North	814	3.1
Northeast	4894	18.4
Central west	2261	8.5
Southeast	13,885	52.1
South	4786	18.0
	Mean (SD)	Median (IQR)
Age	55.6 (16.9)	56.0 (24.0)

SD standard deviation, IQR interquartile range

Healthcare Resource Use and Costs

Healthcare resource use and costs among the OAB cohort are reported in Table 2. All the patients in the cohort had a record of at least one outpatient visit in 2015; 10.0% (n = 2664) visited a GP, 41.3% (n = 10,994) visited a specialist, and 52.0% (n = 13,845) visited a non-medical healthcare provider. The mean (SD) cost per patient per year was R$27 (R$130) for GP visits, R$27 (R$30) for specialist visits, and R$11 (R$17) for visits to other non-medical healthcare providers. Overall, mean total costs increased with increasing age; from a mean total cost of R$103.70 among those aged 25–35 years to R$323.56 among those aged 55–64 to R$954.00 among those aged 75 years or older (Fig. S1 in the supplementary material).

Table 2

Healthcare resource use and costs among the OAB cohort (n = 26,640), 2015

	Resource use
	n	%
Hospitalizationsa	15,349	57.6
n (%) hospitalized, by hospital wardb
ER	165	0.6
ICU	253	0.9
General ward	15,183	57.0
	Mean	(SD)
Among those hospitalized, mean (SD) length of stay (days), by hospital ward	3.4	4.8
ER	1.1	1.2
ICU	12.1	12.1
General ward	3.3	4.5
	n	%
n (%) experiencing one or more outpatient visits	26,640	100.0
GP	2664	10.0
Specialist	10,994	41.3
Other	13,845	52.0
	Costs (R$)
	Mean	SD
Overall cost per patient per year	$355	$866
Overall hospitalization costs (patient/year)	$291	$654
GP (mean cost/patient/year)	$27	$130
Specialist (mean cost/patient/year)	$27	$30
Other (mean cost/patient/year)	$11	$17
Hospitalizations (mean cost/hospital stay)	$572	$1272
ER (mean cost/hospitalization in ER)	$53	$28
ICU (mean cost/hospitalization in ICU)	$7154	$6878
General ward (mean cost/hospitalization in general ward)	$468	$384

$ Brazilian real, ER emergency room, GP General practitioner, ICU intensive care unit, SD standard deviation

a% corresponds to the absolute number of patients hospitalized at least once compared to the total number of patients

b% of absolute number of patients admitted in specified hospital ward at least once compared to the total number of individuals in the OAB cohort

Over half of the cohort experienced one or more hospitalizations where one of the diagnosis codes, in any position assigned, was for OAB during 2015 (n = 15,349; 57.6%). The majority were seen in the general ward (n = 15,183; 57.0%) and their average (SD) length of stay was 3.3 days (4.5). Only 253 (0.9%) patients had a record of an ICU admission, and 165 (0.6%) patients were recorded as having been admitted to the ER. Among those with records of an ICU admission, the average (SD) length of stay was 12.1 days (12.1); among those with an ER admission it was 1.1 day (1.2). For those with recorded hospital visits, 175 (1.1%) individuals were identified as having received treatment with onabotulinumtoxinA with a mean cost of R$525 (R$211) per treatment (data not shown). The mean (SD) cost per patient per year for hospital stays was R$291 (R$654). Mean (SD) cost per hospitalization on individual wards was R$468 (R$384) for the general ward, R$7,154 (R$6,878) for the ICU, and R$53 (R$28) for the ER.

Overall costs for medical services among those with OAB during the study period totaled R$355 (R$866) (US$102 [US$248]) per patient per year and amounted to R$9,457,200 (US$2,709,799) across the study cohort [25].

Pharmacologic Management

In 2015, 4,316,920 pills of medications primarily used for the management of OAB were purchased by the Brazilian government. Of these, 99.7% were oxybutynin, primarily in a 5 mg formulation (4,316,920 pills purchased), with a negligible amount in a 10 mg formulation (720 pills purchased). It was estimated that the number of oxybutynin pills purchased nationwide in 2015 (Table 3) would cover a full year of treatment at the recommended 15 mg dose per day for about 4000 individuals.

Table 3

Brazilian government purchases of pills for the treatment of OAB in 2015

	Brazil	By Region
		North	Northeast	Central west	Southeast	South
Total number of pills	4,316,920	0	3,071,320	966,649	268,820	10,131
Darifenacin 7.5 mg	3500	0	0	0	0	3500
Oxybutynin 10 mg	720	0	0	720	0	0
Oxybutynin 5 mg	4,302,820	0	3,071,320	963,649	263,420	4431
Solifenacin 10 mg	1200	0	0	0	0	1200
Solifenacin 5 mg	3000	0	0	0	3000	0
Tolterodine 4 mg	5680	0	0	2280	2400	1000

On a regional level, the majority of the reported purchases were made in the northeast region of Brazil (71.1%), followed by the central west (22.4%; Fig. 1; Table 3). A very low proportion of the purchases were for the southeast (6.2%) and south (0.2%) regions. No purchases were recorded in the north region of Brazil (Table 4). It should be noted that 12 states had no pharmacologic OAB treatments listed on their formularies and 11 others had no data available on medication purchases.

Fig. 1

OAB treatments listed on formularies by Brazilian state, 2015. Map by Free Vector Maps (https://freevectormaps.com). OAB overactive bladder

Table 4

Uptake of OAB medications by region based on government purchases, 2015

	Brazil	By region
		North	North east	Central west	Southeast	South
Percent of total purchases (%)		0.0	71.1	22.4	6.2	0.2
Darifenacin	0.1	0.0	0.0	0.0	0.0	0.1
Oxybutynin	99.7	0.0	71.1	22.3	6.1	0.1
Solifenacin	0.1	0.0	0.0	0.0	0.1	0.0
Tolterodine	0.1	0.0	0.0	0.1	0.1	0.0
Population estimate	207,848,000a	17,251,384	57,781,744	15,380,752	87,504,008	29,930,112
Population percent (%)b		8.3	27.8	7.4	42.1	14.4

Regional population estimates were calculated on the basis of regional distribution percentages from the 2010 Census, multiplied by the WHO overall population estimate from 2015

aSource: Global Health Observatory [27]

bSource: IBGE (Brazilian Institute of Geography and Statistics) [28]

Discussion

Estimates of the economic burden of OAB in Brazil are presently lacking. This study has used a population-based dataset comprising data from the Brazilian public health service to identify a cohort with OAB in Brazil in order to investigate healthcare resource use and costs. Estimates were established for outpatient and inpatient resource use nationally and for public-sector OAB-related medication purchases at a regional level. These estimates are valuable because of their use for planning purposes. In addition, they provide insight into the limited access to medication for OAB through the public health service across many regions of the country. Almost 27,000 individuals had medical encounters within the public healthcare system in 2015 where OAB-related symptoms were addressed. Within this cohort, resource use was high, with 57.6% of patients experiencing hospitalizations and outpatient visits being frequent. Costs of management of these patients were estimated at almost 10 million reals in 2015. Data on the purchases of OAB medications made by the Brazilian government indicated limited access to pharmacologic OAB treatments in some regions of the country.

Two studies of self-reported OAB in Brazil have estimated prevalence to be between 18.9% [6] and 25% [8], using an adapted version of the King’s Health Questionnaire and the OAB-V8, respectively. While establishing OAB prevalence was not feasible from this study, it should be noted that these numbers stand in sharp contrast to the estimated 0.026% of the Brazilian population covered by SUS that had medical encounters associated with OAB (as indicated by the presence of an ICD-10 code for OAB-related symptoms) within the public healthcare system in 2015. As OAB is largely understood to be an underdiagnosed condition [29, 30], and case identification via ICD codes would require an individual to seek medical care, prevalence estimates based on self-reported symptoms are generally higher than those based on ICD codes alone [2, 31]. There are a number of reasons for this: (1) the misconception that symptoms are a normal part of aging and therefore not reported to physicians [5, 32]; (2) embarrassment around discussing OAB symptoms with their doctor [5], which prevents cases from being identified and noted in medical records; (3) when OAB is discussed with a doctor, it may be mentioned with more burdensome comorbidities, to which the visit is coded, as there is no obligation to record secondary diagnoses. It is also possible that Brazilians are aware of the regional variability in access to OAB treatments (as indicated by the present study), or that the public health system will not provide care [32] and therefore do not seek pharmacotherapy. A recent study exploring barriers to access to healthcare in Brazil noted that patients accessing care through the public health service cited a lack of availability of health centers, doctors, and drugs, as well as longer waiting times [33]. An investigation of patient perceptions of the availability of OAB pharmacotherapies in different regions of Brazil could inform this hypothesis.

Even given these considerations, the number of patients identified through DATASUS was lower than expected. In their study of OAB prevalence, Teloken et al. [6] explored the proportion of patients accessing treatment; of the 160 who sought medical counselling for their OAB, only 30 received pharmaceutical treatment (types of treatment were not specified). This rate is higher than recent data from the USA where only 8.1% of patients with OAB were reported to be receiving treatment [30]. Using this figure as a broad estimate with the more conservative prevalence estimate (18.9%), it was initially expected that the cohort identified from DATASUS would represent about 1.5% of those covered by SUS, rather than the 0.026% observed. Two possible explanations for that are (1) in Teloken et al.’s study [6], most patients surveyed who acknowledged seeking treatment for OAB were not in the public health system—which denotes a worrisome imbalance and undertreatment of those in the public health system; and, (2) OAB is undercoded within DATASUS (particularly given that there has been low specificity in the ICD codes used for identifying actual OAB cases). Considering these suspected contributing factors, this cohort of individuals identified within DATASUS may represent a subpopulation of patients with urinary symptoms indicative of OAB with burdensome comorbid conditions who expressed a felt need for healthcare [34]. This hypothesis is supported by the fact that only 20% of identified hospitalization records had an OAB-related ICD code in the 1st or 2nd position (i.e., as primary or secondary diagnosis).

This study has shed light on the limited access and the regional disparities in access to OAB medication through the public sector healthcare service. Oxybutynin accounts for virtually all purchases of medicines specific to the treatment of OAB within the Brazilian public health service, potentially due to it being the most economical [35]. Regionally, in the Southeast, the country’s most populous region, only the state of Espirito Santo had OAB medications (oxybutynin and tolterodine) listed on its formulary, and its population represents only 4.5% [28] of the total population of the region. While we do not have private sector data for comparison, due to the lack of availability of pharmacologic OAB therapies within SUS, it is clear that the number of patients with OAB accessing care through the public sector is low and it is conceivable, as a result, that only a small subset of patients with OAB actively seek management of their condition through SUS.

To the best of the authors’ knowledge, the present study is the first to present an estimate of the economic burden of OAB to the Brazilian public healthcare system. The lack of granularity in the available data has meant that we are unable to attribute costs presented here directly to OAB (i.e. the costs presented are not OAB-specific) though an OAB-related code was present in each case. The data available was also limited in that it does not permit the direct matching of patients to encounters, which precluded the presentation of all-cause costs. As such, the figures presented here are characterized as costs associated with the management of patients with OAB, and despite the aforementioned limitations we do believe they can assist in characterizing the burden of OAB in Brazil.

Among the OAB cohort identified from SUS in 2015, the mean length of hospital stay was 3.3 days and the mean (SD) hospitalization cost was R$572 (R$1,272). No Brazilian publications were identified that reported on inpatient stays within an OAB population against which to contrast the findings of this study. However, the costs that resulted from the underlying lengths of stay were similar to values reported for other conditions in Brazil, where the mean cost per hospitalization has ranged from R$503 to R$566 [26, 36]. Although the mean hospitalization cost per patient in the present study was comparable to other published estimates, it is important to note that as the costs provided by SUS are based on set fees established by the government and paid to public health providers, the actual amount spent by the service provider is likely higher [26].

Another important finding of this study was the limited access to in-hospital procedural interventions for the management of OAB (e.g., onabotulinumtoxinA, percutaneous tibial nerve stimulation, and sacral neuromodulation). As it turns out, none of these procedures are available in Brazil within the public healthcare system, although a minority of individuals are granted special access to onabotulinumtoxinA; as such, it was not surprising that a small number of onabotulinumtoxinA injections into the bladder were identified in the data.

A key strength of this study was its population-based approach. The results provide insight into the current management of OAB in Brazil, in particular providing estimates of resource use and costs associated with the management of OAB which, to the best of the authors’ knowledge, are presently lacking in the literature. A wide range of healthcare resources and costs were considered in the study, including both inpatient and outpatient use as well as medication uptake. The wide variety of data sources drawn on for the study, which enabled the formation of a comprehensive picture of the management and healthcare resource use associated with the management of OAB in Brazil, also add to the study’s strengths.

There are several limitations that warrant mentioning. Firstly the unavailability of 5-digit ICD-10 codes through which to identify OAB cases required a mapping of the validated list of 5-digit codes specific to OAB, to broader 4-character codes. This may have led to misclassification of patients with other urinary tract conditions as having OAB; leading to an inflation of the cohort size and inclusion of patients with other urinary conditions. However, it is important to note that misclassification was unavoidable, as there are no 4-digit codes indicative of OAB. An a priori decision was made in favor of overestimation because at least that would lead to an upper threshold estimate of the economic burden of OAB to the public healthcare system. Underinclusion would have also led to an imprecise estimate that was deemed less useful. Misclassification may also have impacted specific estimates of resource use and costs, although the direction of this impact is unknown, as this would depend on the intensity of clinical management required by the other urinary health condition. Thirdly, availability of medication data only at the class level in DATASUS limited the ability to understand OAB prescribing patterns within the cohort. As anticholinergic medications, as a class, are prescribed for several conditions, it was not possible to identify antimuscarinic medications prescribed for OAB specifically. This limitation was addressed by accessing supplementary data sources that report on drug purchases across Brazilian states, which provided a picture of medication access in this country. It should be noted, however, that as data were unavailable for a number of states, the estimates reported by region may represent a lower bound of medication uptake in each region. Additionally, the unavailability of patient identifiers with DATASUS required the generation of pseudo identification codes. Within the outpatient data, only sex, age, and city were available for linkage. The combination of these fields did not provide enough granularity for a linkage in the full general population dataset, so the linkage relied on medical encounters with OAB-related codes to increase the likelihood of success of the linkage protocol. This feature of the data led to the following study limitations: (a) inability to capture non-OAB-related resource use and costs, so that resource use and costs were only captured for encounters coded with an OAB-related ICD code; (b) inability to explore the degree to which OAB was responsible for the OAB-related hospital encounters identified; and (c) inability to identify a comparison cohort without OAB. Thus, individual-level estimates of resource use and costs identified here may not be relevant to all individuals with OAB in Brazil, particularly for those not actively seeking treatment. Finally, as administrative claims databases are developed for billing rather than research purposes, the results may be limited because of potential coding and data entry errors in the classification of diagnoses and procedures. And further, as the data for this study comprises medical events and medication purchases occurring within the Brazilian public health sector, the results may not be applicable to those accessing medical services either entirely or in a complementary manner through the private sector.

Conclusion

This study provides new evidence on the management of OAB within the Brazilian public healthcare system, as well as healthcare resource use and costs among those actively seeking management of their OAB. Total 1-year healthcare costs incurred among those with suspected OAB were in excess of R$9,457,200; or R$355 per cohort member. This is despite what appears to be very limited access to OAB pharmacotherapies in Brazil for those covered under SUS, at present, and considering limited data access. Accurate estimation of OAB prevalence was not feasible using data from DATASUS. Nevertheless, the disparity between published prevalence estimates and the number of patients managing their OAB within the Brazilian public healthcare system in this study highlights a great unmet need for pharmacologic OAB treatment in Brazil within SUS. Future research is needed that focuses on the private healthcare system to better understand the overall economic burden of OAB in Brazil.

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 130 kb)

Why carry out this study?

An accurate understanding of the economic burden of overactive bladder (OAB) requires knowledge of both disease prevalence and contemporary management practices.

While some studies of the prevalence of OAB in Brazil exist, studies exploring treatment practices and economic burden in relation to OAB are lacking.

This study sought to characterize contemporary treatment and the economic burden associated with the management of patients with OAB in the Brazilian public health system.

What was learned from the study?

This study helped highlight the undertreatment of OAB within the Brazilian public health system, and helped quantify healthcare resource use and associated costs among those actively managed for OAB within that system.