Journal of registry management最新文献

{"title":"Ongoing Collaboration between NCRA and NAACCR.","authors":"Recinda Sherman","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"51 1","pages":"11"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11200828/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141461542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Colorado's Triumph: Securing Vital Funding for the State Cancer Registry.","authors":"John Arend","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"51 3","pages":"124"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11781284/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NAACCR and HIPAA: Hip, Hip, Hooray?","authors":"T Patrick Hill","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"51 4","pages":"134-135"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11917975/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementing and Evaluating Modified Record Reporting in Ohio.","authors":"Kaitlin R Kruger, Emily C Bunt","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Introduction: </strong>For many years, Ohio's hospitals experienced challenges related to state cancer reporting as they were unable to provide updated information after an abstract was initially submitted to the state central registry. For this reason, hospitals would hold their data to ensure they submitted the most complete and accurate data, especially for treatment. Ohio needed to find an automated method to receive updates for abstracts.</p><p><strong>Methods: </strong>In 2020, the Ohio Cancer Incidence Surveillance System (OCISS) met with hospitals, hospital software vendors, and other state registries to investigate the option of collecting modified records (M-records). In 2021, OCISS completed an M-record pilot with a small subset of hospitals and began requiring M-records from all reporting hospitals in 2022. OCISS now has over a full years' experience processing M-record submissions.</p><p><strong>Results: </strong>OCISS has found creative solutions to overcome challenges, and M-record processing has become one of the standard tasks completed by OCISS. While the overall registry volume increased due to M-record reporting, the workload of the central registry did not. Additionally, Ohio hospitals expressed appreciation for being able to provide updated information and no longer needing to hold on to their abstract until treatment is completed.</p><p><strong>Discussion: </strong>M-record reporting has improved Ohio's registry operations. Ohio's cancer data is more complete and is reported more quickly. Implementing M-record reporting was challenging; however, as data timeliness becomes increasingly important, Ohio is well positioned to improve cancer reporting timeliness by leveraging M-record reporting.</p>","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"51 4","pages":"167-171"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11917976/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Empowerment: Nevada Central Cancer Registry's Cancer Dashboard.","authors":"Aundrea Ogushi","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"51 2","pages":"87-88"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11343430/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142054156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New Ideas and Fresh Perspectives: Improving Processes and Quality Assurance Using Automation and Expertise.","authors":"Jennifer Kachajian, Linda Bloschies, Michael Flaherty, Holly Maynard","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"51 2","pages":"93-94"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11343432/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142056853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ongoing Unknown Race Mitigation Project.","authors":"Kyle L Ziegler","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"51 2","pages":"97"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11343431/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142056854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter from the Editor.","authors":"Recinda Sherman","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"51 4","pages":"133"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11917974/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Examination of Liver Cancer Incidence in California.","authors":"Frances B Maguire, Brenda M Hofer, Arti Parikh-Patel, Theresa H M Keegan","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background and objective: </strong>Liver cancer is composed of 2 main types, hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA). After years of increasing HCC incidence rates in the United States, declines have been noted in recent years, but CCA incidence rates have continued increasing. Given these variable trends; documented disparities by sex, age, and race/ethnicity; and shifting risk factors from viral infection (hepatitis B and C) to metabolic causes (obesity, diabetes, nonalcoholic fatty liver disease), we sought to assess the incidence rate trends for HCC and CCA in California to inform whether California trends are similar to those observed in the United States as a whole, whether these trends have continued in the most recent years for which data is available, and to identify at-risk groups that may benefit from targeted intervention.</p><p><strong>Methods: </strong>Using SEER*Stat software, we calculated age-adjusted incidence rates (AAIR) by sex, age group, and race/ethnicity for patients aged ≥40 years diagnosed with HCC and CCA from 2010 to 2021 identified in the California Cancer Registry. We assessed the annual percent change (APC) over this period for each subgroup using Joinpoint software.</p><p><strong>Results: </strong>For HCC, the AAIR significantly decreased for men (-2.68%) and women (-2.23%) since 2014. Significant decreases were observed for men among all racial/ethnic groups, but among women, decreases were only seen in Black and Asian/Pacific Islander patients. Decreases in AAIR were greatest among those aged 40 to 64 years (men, -7.01%; women, -7.79%) and increases were observed for men aged ≥75 years since 2010 (1.15%). For CCA, the AAIR significantly increased for men aged ≥75 years (2.8%) and for women in all age groups. Only White men had decreasing AAIRs.</p><p><strong>Conclusion: </strong>HCC AAIR trends have declined in California, but not for all groups. Older men and Hispanic and White women did not experience the same reductions in HCC AAIR observed in other groups. CCA AAIR trends have increased among nearly all groups for women. Future research should focus on evaluating risk factors by liver cancer sub-type, and regular screening of individuals with risk factors should be considered.</p>","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"51 4","pages":"136-145"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11917983/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143664945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital Cancer Care and the Vision for Transforming the Quality of Care.","authors":"Heidi Nelson, Kelley Chan, Bryan E Palis","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>National efforts are underway to build a digital health system that can deliver existing knowledge real-time to increase evidence-based clinical decision-making and provide continuous learning models to reduce clinical errors. Electronic medical records and health information exchanges are increasing access to medical records for patients, professionals, and health systems. A next step will be to develop decision-support models with high-quality data from the clinical record. Patient findings that contribute to creating a diagnosis and a therapeutic plan-as well as all relevant outcomes measuring success or failure of such plans-need to be readily available as data to inform models. Registrars have been turning clinical narratives into high-quality standardized and structured data to monitor cancer trends for decades. Despite great success, it would be costly to scale this human-dependent process to include abstraction of all clinical and laboratory findings in real-time. Efforts to structure data after the fact using natural language processing have yielded mixed results. This article posits that cancer registrar professionals might play a new role in advising and assisting in the creation of novel approaches to abstracting high-quality clinical data. This would include building and auditing more standardized and structured clinical records, such as synoptic reports. Furthermore, in the absence of a single, comprehensive national patient registry, cancer registries are probably most qualified to take on the challenge of collecting, storing, and reporting all the additional clinical and biologic cancer data needed to build models that inform individual care and improve the overall quality of care. Improving the quality of patient care is the imperative behind national digital health care efforts. High-quality comprehensive cancer data will be a cornerstone to the success of this effort in oncology. Cancer registries and cancer registrar professionals have a lot to offer in the efforts to close the quality gaps in oncology care.</p>","PeriodicalId":39246,"journal":{"name":"Journal of registry management","volume":"51 3","pages":"104-108"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11781280/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}