Nonmalignant meningioma and vestibular schwannoma incidence trends in the United States, 2004-2017.

BACKGROUND: Given concerns about risks associated with the growing use of mobile phones over recent decades, the authors analyzed temporal trends in incidence rates of nonmalignant meningioma and vestibular schwannoma in the United States. METHODS: The incidence of nonmalignant meningioma and vestibular schwannoma among adults in the Surveillance, Epidemiology, and End Results 18 registries during 2004 through 2017 was evaluated according to the method of diagnosis: microscopically (MC) or radiographically confirmed (RGC). Annual percent changes (APCs) and 95% CIs were estimated using log-linear models. RESULTS: Overall meningioma rates (n = 108,043) increased significantly from 2004 to 2009 (APC, 5.4%; 95% CI, 4.4%-6.4%) but subsequently rose at a slower pace through 2017 (APC, 1.0%; 95% CI, 0.6%-1.5%). Rates for MC meningiomas changed little from 2004 to 2017 (APC, -0.3%; 95% CI, -0.7%, 0.1%) but rose rapidly for RGC meningiomas until 2009 (APC, 9.5%; 95% CI, 7.8%-11.1%) and rose more modestly thereafter (APC, 2.3%; 95% CI, 1.5%-3.0%). Overall vestibular schwannoma rates (n = 17,475) were stable (APC, 0.4%; 95% CI, -0.2%, 1.0%), but MC vestibular schwannoma rates decreased (APC, -1.9%; 95% CI, -2.7%, -1.1%), whereas RGC vestibular schwannoma rates rose (2006-2017: APC, 1.7%; 95% CI, 0.5%-3.0%). For each tumor, the trends by diagnostic method were similar for each sex and each racial/ethnic group, but RGC diagnosis was more likely in older patients and for smaller tumors. Meningioma trends and the proportion of RGC diagnoses varied notably by registry. CONCLUSIONS: Overall trends obscured differences by diagnostic method in this first large, detailed assessment, but the recent stable rates argue against an association with mobile phone use. Variation among registries requires evaluation to improve the registration of these nonmalignant tumors. LAY SUMMARY: The etiology of most benign meningiomas and vestibular schwannomas is poorly understood, but concerns have been raised about whether mobile phone use contributes to risk of developing these tumors. Descriptive studies examining temporal trends could provide insight; however, globally, few registries collect these nonmalignant cases. In the United States, reporting benign meningiomas and vestibular schwannomas became required by law in 2004. This was the first large, systematic study to quantify and characterize incidence trends for meningioma and vestibular schwannoma according to whether the tumors were diagnosed microscopically or only radiographically. Differential trends across registries and by diagnostic method suggest that caution should be used when interpreting the patterns.

Melanoma Tumor Depth Quality Audit: A Nonmatch Analysis.

Background: The National Cancer Institute's Surveillance Research Program (SRP) received reports from cancer registries in the Surveillance, Epidemiology, and End Results (SEER) Program concerning the coding of melanoma tumor depth. To address these concerns, SRP developed an algorithm to identify melanoma depth measurement values and conducted a nonmatch analysis. Methods: A nonmatch analysis was conducted on 1,117 cases diagnosed between 2010 and 2017. With the help of Information Management Services, a natural language processing algorithm was developed to identify melanoma tumor depth values along with a gold standard for comparison. A randomly sampled data set was created to compare the algorithm-generated and gold standard values to the originally reported values; these were analyzed using SAS software version 9.4. Analyses were conducted to determine the distribution of nonmatches by demographics and estimate the distribution of nonmatches by the derived T variable according to the 7th edition of the American Joint Committee on Cancer (AJCC)'s AJCC Cancer Staging Manual. Results: Of the 1,117 cases, 849 cases (76%) were a match between the originally reported values and the gold standard. The majority of cases were found to be in male patients (60%) and non-Hispanic White patients (93%). When comparing derived AJCC-7 T based on the originally reported value to the gold standard, 16% of the original derived AJCC-7 T values were incorrect, with most of the nonmatches resulting in incorrectly coding a case as TX instead of T1. Conclusion: In total, 24% of cases were found to have a discrepancy in the originally recorded values. Decimal errors made up 3% of all cases in this nonmatch analysis. This algorithm may prove to be an essential tool in optimizing registry resources by flagging inconsistencies via automated text review to be adjudicated by registrars, improving their quality of data as needed.

Medical Record-Documented TNM Categories and Stage Group: Feasibility of Use for Cancer Surveillance.

BACKGROUND AND OBJECTIVES: In 2016, with the discontinuation of the Collaborative Staging system, the cancer surveillance community planned to rely on physician-assigned TNM stage documented in the medical record. The objectives of this study were to describe how often physician-assigned staging components were documented in the medical records accessible to the registrar and to assess the agreement of these physician-assigned components with registrar-assigned values. METHODS: Medical record documents for 282 routine cases from 5 cancer sites were selected from the Surveillance, Epidemiology, and End Results registries. First, the documents were evaluated to determine how often they contained the TNM staging components. Next, the available components were compared with values assigned by a panel of experienced cancer registrars. The agreement for each type of source document was estimated among 100 cases. RESULTS: Overall, the physician-assigned TNM components and stage groups were not often found in the medical record. Pathologic T and N were found most frequently (65% and 64%, respectively). Agreement between physician-assigned and registrar-assigned TNM components varied (cT = 57%, cN = 72%, pT = 83%, pN = 89%). For stage group, agreement was better when the stage group was documented more than once (clinical, 71%; pathologic, 67%). Path reports included valid pT and pN in 79% and 89% of cases, respectively. Oncology consultation notes provided valid cT for 83% of cases. Validity was lower for other document sources. CONCLUSIONS: The physician-assigned TNM components will rarely be documented in the medical record and available to the registrar. Collection of accurate stage information for cancer surveillance requires cancer registrars to review the full medical record and assign the TNM components required for stage.

Validation of prostate-specific antigen laboratory values recorded in Surveillance, Epidemiology, and End Results registries.

BACKGROUND: Researchers have used prostate-specific antigen (PSA) values collected by central cancer registries to evaluate tumors for potential aggressive clinical disease. An independent study collecting PSA values suggested a high error rate (18%) related to implied decimal points. To evaluate the error rate in the Surveillance, Epidemiology, and End Results (SEER) program, a comprehensive review of PSA values recorded across all SEER registries was performed. METHODS: Consolidated PSA values for eligible prostate cancer cases in SEER registries were reviewed and compared with text documentation from abstracted records. Four types of classification errors were identified: implied decimal point errors, abstraction or coding implementation errors, nonsignificant errors, and changes related to "unknown" values. RESULTS: A total of 50,277 prostate cancer cases diagnosed in 2012 were reviewed. Approximately 94.15% of cases did not have meaningful changes (85.85% correct, 5.58% with a nonsignificant change of <1 ng/mL, and 2.80% with no clinical change). Approximately 5.70% of cases had meaningful changes (1.93% due to implied decimal point errors, 1.54% due to abstract or coding errors, and 2.23% due to errors related to unknown categories). Only 419 of the original 50,277 cases (0.83%) resulted in a change in disease stage due to a corrected PSA value. CONCLUSIONS: The implied decimal error rate was only 1.93% of all cases in the current validation study, with a meaningful error rate of 5.81%. The reasons for the lower error rate in SEER are likely due to ongoing and rigorous quality control and visual editing processes by the central registries. The SEER program currently is reviewing and correcting PSA values back to 2004 and will re-release these data in the public use research file. Cancer 2017;123:697-703. © 2016 American Cancer Society.

Availability of TNM Staging Data Elements in the Medical Record and Training Needs Assessment: Results from the 2014 SEER Training Needs Assessment for TNM Study.

BACKGROUND: In 2016, the cancer registry community will directly assign T, N and M components of stage. The Surveillance, Epidemiology, and End Results program implemented a field study to determine how often T, N and M were not available in the medical record, requiring the registrar to directly assign clinical or pathologic TNM stage components. The field study also identified specific training needs. METHODS: T, N and M status were collected from multiple sources within medical records for a total of 280 cases, 56 each from breast, prostate, colon, lung, and ovarian cancer. TNM data elements were also directly assigned by a series of reviewers and by study participants using the medical records with TNM information redacted. Availability of physician-assigned TNM was estimated from the medical record. Also, participant responses were compared to preferred answers. RESULTS: Pathologic T, N and M were available more often in the medical records than were clinical values and varied by site. Pathologic T and N were available for about two-thirds of the cases, but the clinical elements were available for only about 20% of cases. The agreement between participant responses and review panel assignments varied by data element and cancer site. Agreement was modest for most data elements and cancer sites, ranging from 54% for clinical T to 92% for clinical M for all cancer sites combined. CONCLUSIONS: The data elements for TNM staging and stage group were often missing from the medical records, so registrars in the field will need to assign TNM frequently. Furthermore, the results of this study strongly suggest that more training is required, even among those who currently assign TNM.

Leveraging the Power of Knowledge Management to Transform Global Health and Development.

Good knowledge is essential to prevent disease and improve health. Knowledge management (KM) provides a systematic process and tools to promote access to and use of knowledge among health and development practitioners to improve health and development outcomes. KM tools range from publications and resources (briefs, articles, job aids) and products and services (websites, eLearning courses, mobile applications), to training and events (workshops, webinars, meetings) and approaches and techniques (peer assists, coaching, after-action reviews, knowledge cafés).

Bladder cancer collaborative stage variables and their data quality, usage, and clinical implications: a review of SEER data, 2004-2010.

BACKGROUND: Several changes were made to bladder cancer staging guidelines between the 6th and 7th editions of the American Joint Committee on Cancer (AJCC) Staging Manual. Also, Collaborative Stage (CS) Data Collection System version 2 (CSv2) implemented for 2010 Surveillance, Epidemiology, and End Results (SEER) cases involved collection of 3 new site-specific factors (SSFs): World Health Organization/International Society of Urological pathology grade (SSF1), size of metastasis in regional lymph nodes (SSF2), and extranodal extension (SSF3). Our objective was to evaluate these new SSFs to assist researchers in their use/interpretation and to describe data quality issues to be addressed moving forward. METHODS: Staging trends were assessed for invasive and noninvasive bladder cancer cases from 2004 to 2010. Among 2010 cases, staging was compared using the AJCC 6th and 7th edition guidelines, and evaluation of completeness/quality of the SSFs was performed in relevant subgroups. RESULTS: Age-adjusted incidence rates and proportions of cases by stage remained steady from 2004 to 2010. Changes from the AJCC 6th to 7th editions caused no substantial movement between stages. SSF1 had a known value in 82% of cases, which was higher than the traditional SEER grade/differentiation variable. SSF2 and SSF3 were less complete, with 41% and 37% having known values, respectively, among cases with lymph node involvement (according to CS lymph node variable). CONCLUSIONS: SSF1 was more complete and straightforward to interpret than the traditional grade/differentiation variable. SSF2 and SSF3 were less complete, may be associated with data quality issues, and should only be used among cases with known lymph node involvement.

mHealth resources to strengthen health programs.

A suite of resources provides implementation guidance for mHealth initiatives, particularly in less developed countries. The suite includes an eLearning course, online guide, evidence database, and a High-Impact Practices brief, along with the mHealth Working Group and website.

Meeting the health information needs of health workers: what have we learned?

The information challenges facing health workers worldwide include lack of routine systems for seeking and sharing information, lack of high-quality and current health information, and lack of locally relevant materials and tools. This issue of Journal of Health Communication presents three studies of health information needs in India, Senegal, and Malawi that demonstrate these information challenges, provide additional insight, and describe innovative strategies to improve knowledge and information sharing. Results confirm that health workers' information needs differ on the basis of the level of the health system in which a health worker is located, regardless of country or cultural context. Data also reveal that communication channels tailored to health workers' needs and preferences are vital for improving information access and knowledge sharing. Meetings remain the way that most health workers communicate with each other, although technical working groups, professional associations, and networks also play strong roles in information and knowledge sharing. Study findings also confirm health workers' need for up-to-date, simple information in formats useful for policy development, program management, and service delivery. It is important to note that data demonstrate a persistent need for a variety of information types--from research syntheses, to job aids, to case studies--and suggest the need to invest in multifaceted knowledge management systems and approaches that take advantage of expanding technology, especially mobile phones; support existing professional and social networks; and are tailored to the varying needs of health professionals across health systems. These common lessons can be universally applied to expand health workers' access to reliable, practical, evidence-based information.

SEER and NAACCR data completeness methods: how do they impact data quality in Central Cancer Registries?

There are 2 widely accepted methods for calculating data completeness in central cancer registries: The Surveillance, Epidemiology and End Results (SEER) Program's data completeness method and the North American Association of Central Cancer Registries' (NAACCR's) data completeness method. In recent years, the pros and cons of these methods have been discussed and debated by CTRs nationwide. The results from a myriad of studies have shown that each method offers its own set of strengths and unique applications. The aims of this paper are to provide an overview of both the SEER and NAACCR data completeness methods and to discuss the need for an alternative data completeness method.