Abstracts

Introduction

The burden of cervical cancer is largely influenced by differential access to screening ¹1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018; 68:394-424.. In Brazil, the Brazilian Unified National Health System (SUS) offers free screening with the Papanicolaou (Pap) smear ²2. Instituto Nacional de Câncer José Alencar Gomes da Silva. Diretrizes brasileiras para o rastreamento do câncer do colo do útero. Rio de Janeiro: Instituto Nacional de Câncer José Alencar Gomes da Silva; 2016.. The access to this test expanded substantially, and in some state capitals over 80% of the target population is covered ³3. Oliveira MM, Andrade SSCA, Oliveira PPV, Azevedo e Silva G, Silva MMA, Malta DC. Pap-test coverage in women aged 25 to 64 years old, according to the National Health Survey and the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey, 2013. Rev Bras Epidemiol 2018; 21:e180014.^,44. Barbosa IR. Regional and socioeconomic differences in the coverage of the Papanicolau test in Brazil: data from the Brazilian Health Survey 2013. Rev Bras Ginecol Obstet 2017; 39:480-7.^,55. Costa RFA, Longatto-Filho A, Vazquez FL, Pinheiro C, Zeferino LC, Fregnani JHTG. Trend analysis of the quality indicators for the Brazilian cervical cancer screening program by region and state from 2006 to 2013. BMC Cancer 2018; 18:126.. However, cervical cancer incidence in Brazil remains high compared with some countries with equivalent coverage ¹1. Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2018; 68:394-424.^,66. Instituto Nacional de Câncer José Alencar Gomes da Silva. Estimativa 2018: incidência de câncer no Brasil. Rio de Janeiro: Instituto Nacional de Câncer José Alencar Gomes da Silva; 2017..

One explanation for this finding may be the limited access to diagnosis and treatment after an abnormal smear result. Women with cytological results suggestive of a high-grade lesion should be referred directly for colposcopy ²2. Instituto Nacional de Câncer José Alencar Gomes da Silva. Diretrizes brasileiras para o rastreamento do câncer do colo do útero. Rio de Janeiro: Instituto Nacional de Câncer José Alencar Gomes da Silva; 2016.. If an obstacle exists at the transition from the primary screening test to colposcopy, this would represent an important priority for service planning.

We addressed this question by following a cohort of women with abnormal smear results collected during a routine screening in the State of São Paulo, Brazil. We used a probabilistic technique to link the cytology results, recorded in the Information System on Uterine Cervical Cancer (SISCOLO; a national cervical cancer screening database), to colposcopy records in the Outpatient Information System of the SUS (SIA/SUS; a billing database for outpatient procedures); both available at http://datasus.saude.gov.br/. This study is part of a wider project that investigates inequalities in access to screening services in Brazil ⁷7. Rodrigues TB, De Stavola B, Bustamante-Teixeira MT, Guerra MR, Nogueira MC, Fayer VA, et al. Sobrerrastreio mamográfico: avaliação a partir de bases identificadas do Sistema de Informação do Câncer de Mama (SISMAMA). Cad Saúde Pública 2019; 35:e00049718.^,88. Tomazelli JG, Girianelli VR, Azevedo e Silva G. Estratégias usadas no relacionamento entre sistemas de informações em saúde para seguimento das mulheres com mamografias suspeitas no Sistema Único de Saúde. Rev Bras Epidemiol 2018; 21:e180015.^,99. Tomazelli JG, Girianelli VR, Azevedo e Silva G. Mulheres rastreadas para câncer de mama: acompanhamento por meio dos sistemas de informações em saúde, 2010-2012. Epidemiol Serv Saúde 2018; 27:e2017445..

Methods

Data sources

The SISCOLO is used to monitor cervical cancer screening activities. The results of smears performed on the SUS and the date of reporting are recorded. Patient identifiers in the SISCOLO are the woman’s name, mother’s name, date of birth, address, and the National Health Card (CNS) number. The CNS is a unique patient identifier. Unfortunately, its utility in this regard is limited, since some patients have more than one CNS ¹⁰10. Ministério da Saúde; Conselho Nacional de Secretários da Saúde. Nota técnica 22/2011. Proposta de consolidação do Cartão Nacional de Saúde - Cartão SUS. Atualização das notas técnicas 29/2010 e 32/2010 de 06/08 e 13/09/2010. Brasília: Conselho Nacional de Secretários da Saúde; 2011.. Furthermore, it is not an obligatory field in the SISCOLO, with only a roughly 50% completion rate.

The SIA/SUS is an administrative billing database for outpatient procedures. Since March 2014, colposcopy services were required to record individual patient information on this system (Ordinance n. 189, from January 31, 2014 ¹¹11. Ministério da Saúde. Portaria nº 189, de 31 de janeiro de 2014. Institui o Serviço de Referência para Diagnóstico e Tratamento de Lesões Precursoras do Câncer do Colo de Útero (SRC), o Serviço de Referência para Diagnóstico de Câncer de Mama (SDM) e os respectivos incentivos financeiros de custeio e de investimento para a sua implantação. Diário Oficial da União 2014; 3 feb.). Each colposcopy record contains the date and location of the procedure, patient’s name, date of birth, address, and CNS (obligatory in the SIA/SUS). This is used as a record of the occurrence of a procedure but without clinical specifics.

Selection of the reference cohort

A cohort of women with abnormal cytology results was identified, requiring - according to the Brazilian guidelines ²2. Instituto Nacional de Câncer José Alencar Gomes da Silva. Diretrizes brasileiras para o rastreamento do câncer do colo do útero. Rio de Janeiro: Instituto Nacional de Câncer José Alencar Gomes da Silva; 2016. - a colposcopy referral. All records of women aged 25 years and older, resident in the State of São Paulo, and with a cytology class more severe than LSIL were retrieved from the SISCOLO. Only women whose results were released between May 1, 2014, and June 30, 2014, were included. This group of women with abnormal cytology will be referred to as the reference cohort.

Timing considerations and prevalent cases

Not all abnormal results in the SISCOLO represent screening smears. A repeat smear is indicated after a colposcopy when the findings were discordant with the original smear, or when the endocervical canal is not visualized. Furthermore, six-monthly smears are recommended for follow-up after treating a lesion. We sought to exclude these non-screening smears from the reference cohort since they represent women within the colposcopy services.

Thus, the SISCOLO lacks the indication for smears, two procedures were applied to best exclude the prevalent cases. First, we aimed to remove all women in the reference cohort who received at least one other abnormal result in the preceding 16 months. To achieve this, records in the reference cohort were linked with all abnormal smear results in the SISCOLO between January 1, 2013, and April 30, 2014.

Following, we reasoned that women undergoing follow-up (concurrent colposcopy and smear) after treatment in the preceding year may not be excluded by this procedure. The SISCOLO contains the date that the smear result was released, whereas the SIA/SUS records the date the colposcopy was performed. Therefore, these cases would appear as linked records where the colposcopy date preceded the smear date. The reference cohort was linked with the two preceding months in the SIA/SUS (March and April 2014); all records linked to a colposcopy before the smear release were excluded (Figure 1).

Finally, to determine the rate of colposcopy attendance, records in the SIA/SUS between May 1 and December 31, 2014, were included. This allowed a period of six to eight months for recording the colposcopy.

Data manipulation procedures

Cleaning and de-duplication

Data pre-processing and cleaning routines were conducted to minimize differences in typing and to standardize entries between the SISCOLO and SIA/SUS. For the women’s names, accents, double spaces, and punctuation were removed. Letters were converted to uppercase and known abbreviations replaced with full names (e.g., Ap → Aparecida). All prepositions in last names (e.g., “de”, “dos” etc.) were removed and full names were split into first, middle (when there was more than one, only the first was retained), and last names. The name fields were searched for strings consistent with the missing values (e.g., “ignorado” and synonyms) and other (more esoteric) entries that would not be consistent with names. The date of birth was split into separate fields for day, month, and year.

The women’s names were completely recorded in the SISCOLO and missing in five records in the SIA/SUS. Mother’s name, although not used in the linkage procedure, was filled far less reliably. Date of birth was recorded in 100% of cases in both databases. The CNS was 98% and 58% completed in the SIA/SUS and SISCOLO, respectively. When present, the CNS was used as a key for de-duplication. Regarding the high level of missing CNS in the SISCOLO and issues with its performance as a unique identifier, the remaining records were de-duplicated based on the exact agreement of name, date of birth, municipality of residence (Brazilian Institute of Geography and Statistics - IBGE - code), and mother’s name (in the SISCOLO). Only the first record (date of cytology or date of colposcopy) was retained.

Linkage

First, a gold standard dataset of certain (or at least highly probable) matches between the SISCOLO and SIA/SUS were made, performing a deterministic linkage between records with a completed CNS. The links were manually reviewed. A total of 97.4% agreed on the name, date of birth and address, or name and either date of birth or address. We used this gold standard dataset to calculate m-probabilities: the probability that a particular field (e.g., first name) agrees concerning the two records being truly matched, m = P(agreement | match). The value reflects the data entry error rate; if data entry were error-free and completely standardized the m-probability would be 1. Next, the u-probabilities were calculated - the probability that a particular field agrees given that the records are truly unmatched, that is a chance agreement, u = P(agreement | non-match) - from the total set of pairwise comparisons, excluding the known matches ¹²12. Sayers A, Ben-Shlomo Y, Blom AW, Steele F. Probabilistic record linkage. Int J Epidemiol 2016; 45:954-64.. The u-probability reflects the uniqueness, or discriminatory power, of the identifier in question.

Complex comparison patterns were generated for agreement on first, middle, and last names with the Jaro-Winkler string comparator ¹³13. Yancey WE. Evaluating string comparator performance for record linkage. Washington DC: US Census Bureau; 2005.. Jaro-Winkler scores range from 0 (perfect dissimilarity) to 1 (perfect similarity) and were divided into five categories: (0.00, 0.75), (0.75, 0.90), (0.90, 0.95), (0.95, 0.99), and (0.99, 1.00). The m- and u-probabilities were frequency adjusted for each category of Jaro-Winkler score ¹⁴14. Paixao ES, Harron K, Campbell O, Teixeira MG, Costa MCN, Barreto ML, et al. Dengue in pregnancy and maternal mortality: a cohort analysis using routine data. Sci Rep 2018; 8:9938..

Match weights were calculated according to the Fellegi-Sunter method ¹⁵15. Fellegi IP, Sunter AB. A theory for record linkage. J Am Stat Assoc 1969; 64:1183-210.. That is, for a given pair of records, the match weight was calculated as the sum of the log-likelihood ratios determined from the probabilities m- and u-, so that:

Where the Log-LR+ is the positive likelihood ratio used for complete or partial field agreement, and Log-LR- is the negative likelihood ratio used for complete field disagreement.

The calculated match weights had a range of -30 to 24. Following a visual inspection of the distribution of match weights for true and false matches, a cut-off of 15 was chosen, above which matches were included without further review, and below which pairs were rejected. This threshold produced an excellent discriminatory capacity (see sensitivity and specificity further). Serial blocks were used to reduce the total number of comparisons. These were based on combinations of the SoundexBR (http://CRAN.R-project.org/package=SoundexBR) phonetic code of first, middle, and last names; date of birth; and the municipality of residence.

The gold standard set was used to estimate the performance of the linkage strategy. The sensitivity for true matches was 96%. The positive predictive value was found to be 96% and the false-positive rate, 4%.

Statistical analyses

Age was categorized into four groups, as well as the cytology class. The municipality of residence was classified as those located in the metropolitan region of São Paulo and those living outside this area. The proportion of women with a linked colposcopy record was calculated and categorical variables were compared between these groups using the chi-squared test.

Women whose cytology results were released at the beginning of the reference period had two months more follow-up compared with those with cytology results released at the end of the reference period. To account for this, the proportion of women that linked with a colposcopy record was calculated within six-month of the cytology result being released.

The linkage algorithm was written and implemented in the R language for statistical computing. Specifically functions from the RecordLinakge and SoundexBR packages were adapted for this specific application. The statistical analysis was performed in R version 3.6.3 (http://www.r-project.org) and Stata 14.1 (https://www.stata.com).

Ethics

The project was approved by the University of São Paulo (USP) Ethics Committee (CAAE 49655215.0.0000.0065).

Results

We retrieved 2,018 abnormal cytology results reported between May 1, 2014, and June 30, 2014. Of these, 191 were linked with an abnormal result in the preceding 16 months and were excluded. Following linkage with the SIA/SUS, another 66 cases were removed where the colposcopy date preceded the cytology date (Figure 1). This resulted in 1,761 abnormal cytology records. Of these, 700 (39.8%) linked with a subsequent colposcopy record in the SIA/SUS. We observed that 671 (38.1%) records linked with a colposcopy within six months after the release of the cytology result.

Table 1 shows the age, area of residence, and cytology classes of women in the reference cohort according to linkage status. Cytology with atypical cells-unable to exclude a high-grade lesion was over-represented among women with a linked colposcopy. Women resident in the metropolitan area of São Paulo were more likely to have a linked colposcopy record than those living outside of the capital. Figure 2 shows the time from the cytology result to the colposcopy as a cumulative probability plot. Among women undergoing colposcopy, most exams occurred within four months of the release of the abnormal cytology result, with few being performed between four and eight months.

Discussion

Among women using the public health system in the State of São Paulo, we found that only 38% of those with abnormal smear results accessed a colposcopy within six months. We observed a higher colposcopy rate for women living in the metropolitan area of São Paulo compared with the rest of the state. We found no clear association between the rate of colposcopy attendance and women’s age or cytology class. These results are based on administrative data (SISCOLO and SIA/SUS). Thus, they can be taken to reflect the routine functioning of cervical cancer screening services in the State of São Paulo during the period studied.

A feasibility study of HPV primary testing in São Paulo previously estimated colposcopy attendance ¹⁶16. Buss LF, Levi JE, Longatto-Filho A, Cohen DD, Cury L, Martins TR, et al. Attendance for diagnostic colposcopy among high-risk human papillomavirus positive women in a Brazilian feasibility study. Int J Gynaecol Obstet 2021; 152:72-7.. In this study, we offered a single HPV test to women attending routine screening services. We invited those with a positive test for colposcopy and 80% ultimately attended. This markedly greater value (80% vs. 38% in the present study) has several likely explanations. First, we provided additional administrative support - over and above routine conditions - with reminder phone calls and letters sent to women that did not attend initially. Then, the participating centers were primary care units linked with the USP, offering a primary care residency program, and a hospital specialized in women’s health. Thus, likely to perform above the average. Finally, the period of follow-up was substantially longer than in this study. Therefore, the present estimate is likely more representative of the real situation.

In general, the literature on access to cervical cancer screening in Brazil focused on coverage with the smear test. This line of inquiry used national household surveys ³3. Oliveira MM, Andrade SSCA, Oliveira PPV, Azevedo e Silva G, Silva MMA, Malta DC. Pap-test coverage in women aged 25 to 64 years old, according to the National Health Survey and the Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey, 2013. Rev Bras Epidemiol 2018; 21:e180014.^,44. Barbosa IR. Regional and socioeconomic differences in the coverage of the Papanicolau test in Brazil: data from the Brazilian Health Survey 2013. Rev Bras Ginecol Obstet 2017; 39:480-7. and aggregate data in the SISCOLO ⁵5. Costa RFA, Longatto-Filho A, Vazquez FL, Pinheiro C, Zeferino LC, Fregnani JHTG. Trend analysis of the quality indicators for the Brazilian cervical cancer screening program by region and state from 2006 to 2013. BMC Cancer 2018; 18:126.. Population coverage follows a consistent socioeconomic gradient over the last 30 years ¹⁷17. Nascimento CM, Eluf-Neto J, Rego RA. Pap test coverage in São Paulo municipality and characteristics of the women tested. Bull Pan Am Health Organ 1996; 30:302-12.. In other countries, colposcopy non-attendance was also associated with greater deprivation ¹⁸18. Douglas E, Wardle J, Massat NJ, Waller J. Colposcopy attendance and deprivation: a retrospective analysis of 27 193 women in the NHS Cervical Screening Programme. Br J Cancer 2015; 113:119-22.. Our study could not explore this relationship due to the very limited sociodemographic information recorded in the SISCOLO and SIA/SUS.

However, we observed a clear divide between attendance in the metropolis (42%) and the rest of the state (34%). We also observed a similar rural-urban divide concerning smear coverage ⁴4. Barbosa IR. Regional and socioeconomic differences in the coverage of the Papanicolau test in Brazil: data from the Brazilian Health Survey 2013. Rev Bras Ginecol Obstet 2017; 39:480-7.. These findings are particularly relevant regarding the substantially higher mortality from cervical cancer among women living outside the state capitals ¹⁹19. Azevedo e Silva G, Girianelli VR, Gamarra CJ, Bustamante-Teixeira MT. Cervical cancer mortality trends in Brazil, 1981-2006. Cad Saúde Pública 2010; 26:2399-407.^,2020. Girianelli VR, Gamarra CJ, Azevedo e Silva G. Disparities in cervical and breast cancer mortality in Brazil. Rev Saúde Pública 2014; 48:459-67.. The greater density of health services in these cities may help explain this. We considered the proximity to screening services an important factor influencing access to colposcopy ¹⁶16. Buss LF, Levi JE, Longatto-Filho A, Cohen DD, Cury L, Martins TR, et al. Attendance for diagnostic colposcopy among high-risk human papillomavirus positive women in a Brazilian feasibility study. Int J Gynaecol Obstet 2021; 152:72-7..

Previous studies conducted in Brazil emphasized the difficulties in the longitudinal care of women undergoing cervical cancer screening. This is due to a lack of adherence to guidelines on the part of health care professionals and problems in the organization of the health system ²¹21. Santos ROMD, Ramos DN, Migowski A. Barreiras na implementação das diretrizes de detecção precoce dos cânceres de mama e colo do útero no Brasil. Physis (Rio J.) 2019; 29:e290402.^,2222. Farias ACB, Barbieri AR. Follow-up uterine cervical cancer: study of continue assistance to patient in a health region. Esc Anna Nery Rev Enferm 2016; 20:e20160096.^,2323. Araújo ES, Barbosa FM, Ázara CZS, Ferreira TXAM, Tavares SBN, Amaral RG. Avaliação do seguimento de mulheres com exames citopatológicos alterados de acordo com as condutas preconizadas pelo Ministério da Saúde do Brasil em Goiânia, Goiás. Rev Bras Cancerol 2014; 60:7-13.. Our results are similar to those from a study conducted in the State of Goiás, in which only 35% of women with abnormal cytology results (ASC-H/HSIL) underwent colposcopy ²³23. Araújo ES, Barbosa FM, Ázara CZS, Ferreira TXAM, Tavares SBN, Amaral RG. Avaliação do seguimento de mulheres com exames citopatológicos alterados de acordo com as condutas preconizadas pelo Ministério da Saúde do Brasil em Goiânia, Goiás. Rev Bras Cancerol 2014; 60:7-13.. Note that, in this same study, among women with ASC-US/LSIL - for whom the recommended approach is to repeat the smear - 15% were unnecessarily referred for colposcopy.

Studies using aggregate data to estimate the number of colposcopies required at a national level produced divergent results. Using data from 2015, one study showed that twice the number of colposcopies required were performed in Brazil ²⁴24. Ribeiro CM, Azevedo e Silva G. Avaliação da produção de procedimentos da linha de cuidado do câncer do colo do útero no Sistema Único de Saúde do Brasil em 2015. Epidemiol Serv Saúde 2018; 27:e20172124.. This calculation was based on the number of Pap smears performed that year and their known positivity rate ²⁵25. Instituto Nacional de Câncer José Alencar Gomes da Silva. Parâmetros técnicos para o rastreamento do câncer do colo do útero. Rio de Janeiro: Instituto Nacional de Câncer José Alencar Gomes da Silva; 2019.. However, using different - and potentially more robust - parameters to estimate the necessity for colposcopies in 2017, a second study found that the number of colposcopies performed nationally was 7% less than the required ²⁶26. Ribeiro CM, Dias MBK, Pla MAS, Correa FM, Russomano FB, Tomazelli JG. Parâmetros para a programação de procedimentos da linha de cuidado do câncer do colo do útero no Brasil. Cad Saúde Pública 2019; 35:e00183118..

Two inter-related problems are likely co-existing: unnecessary colposcopies in women who have no indication and insufficient access to the procedure among those who had. This is a doubly problematic situation. The harm in not investigating women with abnormal smears is self-evident. However, colposcopy itself is not a benign procedure, carrying the inherent risks of bleeding and infection, and the chance of identifying transient lesions. The U.S. Preventive Screening Task Force considers colposcopy use to be a proxy for the harms of cervical cancer screening ²⁷27. US Preventive Services Task Force; Curry SJ, Krist AH, Owens DK, Barry MJ, Caughey AB, et al. Screening for cervical cancer: US Preventive Services Task Force recommendation statement. JAMA 2018; 320:674-86.. Therefore, it should be reserved for and targeted towards those that need it.

In Brazil, cervical cancer screening is conducted opportunistically, putting the onus on individual women and health care providers. However, we observed widespread support for a transition to an organized program ²2. Instituto Nacional de Câncer José Alencar Gomes da Silva. Diretrizes brasileiras para o rastreamento do câncer do colo do útero. Rio de Janeiro: Instituto Nacional de Câncer José Alencar Gomes da Silva; 2016.^,2828. Zeferino LC, Bastos JB, Vale DBAP, Zanine RM, Melo YLMF, Primo WQSP, et al. Guidelines for HPV-DNA testing for cervical cancer screening in Brazil. Rev Bras Ginecol Obstet 2018; 40:360-8.. Ideally, this would allow resources that are currently used for over screening to be focused on testing the right women - including at the point of colposcopy referral.

Strengths and limitations

The main strength of this study was the use of administrative databases, thus the results reflect the performance of routine screening services and not simply a single unit or trial. Using a gold standard dataset, we could validate our linkage procedure. Furthermore, we could identify only the women with an indication based on an abnormal smear result in the SISCOLO, thereby avoiding our results being distorted by inappropriate use of colposcopy.

We found some limitations. Our reference cohort may have been contaminated with prevalent cases - i.e., those already within secondary care services for cervical cancer. We could not definitively exclude all these cases, largely due to limitations of the available data. However, by removing all women with an abnormal cytology in the preceding 16 months, most were likely excluded. This is because the primary mode of identification of cases, and therefore entry into secondary screening services, is through an abnormal cytology.

The SIA/SUS follow-up period ended on December 31, 2014. This resulted in six to eight months of follow-up depending on the point of entry in the reference cohort. This period was constrained by the original ethical approval for the project. Thus, instabilities and seasonal variation in local service provision are possible, and this could have biased our estimate of access to colposcopy downwards if colposcopy provision in the State of São Paulo during the study (March 1, 2014, to December 31, 2014) were subject to additional pressures. However, to the best of our knowledge, the period studied is representative of the typical functioning of colposcopy services in the State of São Paulo. Furthermore, many women in our reference cohort may have eventually accessed colposcopy after the study follow-up period was completed even if, in other contexts, screen-detected cancers were defined as those diagnosed within four months of the primary screening test ¹⁸18. Douglas E, Wardle J, Massat NJ, Waller J. Colposcopy attendance and deprivation: a retrospective analysis of 27 193 women in the NHS Cervical Screening Programme. Br J Cancer 2015; 113:119-22.. Our period of follow-up substantially exceeded four months, especially considering that entry into the cohort was from the date of result release and not of smear collection.

One assumption of our study design was that women accessing primary screening on the public health system did not undergo a colposcopy in a private service. This assumption is supported by results from a recent feasibility study of HPV-based screening in São Paulo, in which less than 1% of women underwent colposcopy in the private sector ¹⁶16. Buss LF, Levi JE, Longatto-Filho A, Cohen DD, Cury L, Martins TR, et al. Attendance for diagnostic colposcopy among high-risk human papillomavirus positive women in a Brazilian feasibility study. Int J Gynaecol Obstet 2021; 152:72-7..

Conclusion

In the State of São Paulo, only 38% of women with abnormal smears accessed colposcopy services within six months. Meanwhile, aggregate data suggest that many colposcopies are performed on women without indication. This is a waste of resources and harmful to both under- and over-screened women.

Acknowledgments

To the Brazilian Graduate Studies Coordinating Board (CAPES).

References

Publication Dates

History