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1.
J Knee Surg ; 2023 Dec 04.
Artigo em Inglês | MEDLINE | ID: mdl-38049097

RESUMO

Revision anterior cruciate ligament reconstruction (ACLR) can be achieved in a single-stage or two-stage approach. Single-stage revisions have several advantages, including one less operation, decreased cost, and a quicker recovery for patients. Revision ACLR can be complicated by malpositioned or dilated bone tunnels, which makes a single-stage revision more challenging or sometimes necessitates a two-stage approach. The use of fast-setting bone graft substitutes (BGS) has been described in recent literature as a strategy to potentially help address this problem in the setting of single-stage revision ACLR. The aim of this study was to evaluate patient-reported clinical outcomes of patients who have undergone single-stage revision ACLR using fast-setting BGS to address prior malpositioned or dilated tunnels. A retrospective review was conducted of the first nine consecutive patients who had undergone single-stage revision ACLR using a fast-setting BGS by a single surgeon between May 2017 and February 2020 with a minimum of 2-year follow-up. Patient-reported clinical outcomes, including the International Knee Documentation Committee (IKDC) questionnaire, the Tegner Lysholm Knee Scoring Scale, patient satisfaction questions, and the need for additional surgery were evaluated for this group between 26 and 49 months postoperative. Of the nine patients eligible for inclusion, eight patients (88.9%) were evaluated, and one was lost to follow-up. At an average follow-up of 37.9 months (range: 27.8-55.7), the mean postoperative IKDC score was 75.0 ± 11.3, and the mean postoperative Tegner Lysholm Knee Score was 83.0 ± 17.6. None of the patients required additional revision surgery or experienced construct failure at the time of follow-up. Seven of eight respondents (87.5%) had their preoperative expectations met with the surgery, and 100% of patients stated they would have the surgery again. Single-stage revision ACLR using fast-setting BGS showed overall positive clinical outcomes for this pilot group of patients at a minimum 2-year follow-up. In select revision scenarios, these materials may be a valuable option to allow the filling of defects without compromising fixation or clinical outcomes.

2.
JAMIA Open ; 6(3): ooad060, 2023 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-37638125

RESUMO

As part of its data modernization initiative (DMI), the Centers for Disease Control and Prevention, Division of Cancer Prevention and Control is testing and implementing innovative solutions to improve cancer surveillance data quality and timeliness. We describe a consensus-based effort to create a framework to guide the evaluation of cancer surveillance modernization efforts by addressing specific context, processes, and costs related to cancer registration. We drew on prior theories, consulted with experts, and sought feedback from cancer registry staff. We developed the cancer surveillance systems, context, outcomes, and process evaluation (CS-SCOPE) framework to explain the ways in which cancer registry data quality, timeliness, and efficiency are impacted by external and internal contextual factors and interrelated process and content factors. The framework includes implementation measures to understand acceptability of process changes along with outcome measures to assess DMI initiation and ongoing sustainability. The framework's components and structures can be tailored for use in other DMI evaluations.

3.
JCO Clin Cancer Inform ; 5: 24-29, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-33411623

RESUMO

Cancer surveillance is a field focused on collection of data to evaluate the burden of cancer and apply public health strategies to prevent and control cancer in the community. A key challenge facing the cancer surveillance community is the number of manual tasks required to collect cancer surveillance data, thereby resulting in possible delays in analysis and use of the information. To modernize and automate cancer data collection and reporting, the Centers for Disease Control and Prevention is planning, developing, and piloting a cancer surveillance cloud-based computing platform (CS-CBCP) with standardized electronic reporting from laboratories and health-care providers. With this system, automation of the cancer case collection process and access to real-time cancer case data can be achieved, which could not be done before. Furthermore, the COVID-19 pandemic has illustrated the importance of continuity of operations plans, and the CS-CBCP has the potential to provide such a platform suitable for remote operations of central cancer registries.


Assuntos
Computação em Nuvem , Coleta de Dados/métodos , Gerenciamento de Dados/métodos , Neoplasias/epidemiologia , Automação , Centers for Disease Control and Prevention, U.S. , Sistemas Computacionais , Monitoramento Epidemiológico , Política de Saúde , Humanos , Sistema de Registros , Estados Unidos
4.
JCO Clin Cancer Inform ; 4: 985-992, 2020 10.
Artigo em Inglês | MEDLINE | ID: mdl-33125274

RESUMO

PURPOSE: Given the reach, breadth, and volume of data collected from multiple clinical settings and systems, US central cancer registries (CCRs) are uniquely positioned to test and advance cancer health information exchange. This article describes a current Centers for Disease Control and Prevention (CDC) National Program of Cancer Registries (NPCR) cancer informatics data exchange initiative. METHODS: CDC is using an established cloud-based platform developed by the Association of Public Health Laboratories (APHL) for national notifiable disease reporting to enable direct transmission of standardized electronic pathology (ePath) data from laboratories to CCRs in multiple states. RESULTS: The APHL Informatics Messaging Services (AIMS) Platform provides an infrastructure to enable a large national laboratory to submit data to a single platform. State health departments receive data from the AIMS Platform through a secure portal, eliminating separate data exchange routes with each CCR. CONCLUSION: Key factors enabling ePath data exchange from laboratories to CCRs are having established cancer registry data standards and using a single platform/portal to reduce data streams. NPCR plans to expand this approach in alignment with ongoing cancer informatics efforts in clinical settings. The 50 CCRs supported by NPCR provide a variety of scenarios to develop and disseminate cancer data informatics initiatives and have tremendous potential to increase the implementation of cancer data exchange.


Assuntos
National Program of Cancer Registries , Neoplasias , Centers for Disease Control and Prevention, U.S. , Eletrônica , Humanos , Informática , Neoplasias/epidemiologia , Sistema de Registros , Estados Unidos/epidemiologia
5.
J Am Med Inform Assoc ; 27(9): 1488-1495, 2020 07 01.
Artigo em Inglês | MEDLINE | ID: mdl-32941600

RESUMO

OBJECTIVES: This review summarizes past and current informatics activities at the Centers for Disease Control and Prevention National Program of Cancer Registries to inform readers about efforts to improve, standardize, and automate reporting to public health cancer registries. TARGET AUDIENCE: The target audience includes cancer registry experts, informaticians, public health professionals, database specialists, computer scientists, programmers, and system developers who are interested in methods to improve public health surveillance through informatics approaches. SCOPE: This review provides background on central cancer registries and describes the efforts to standardize and automate reporting to these registries. Specific topics include standardized data exchange activities for physician and pathology reporting, software tools for cancer reporting, development of a natural language processing tool for processing unstructured clinical text, and future directions of cancer surveillance informatics.


Assuntos
Neoplasias , Informática em Saúde Pública , Vigilância em Saúde Pública , Sistema de Registros/normas , Centers for Disease Control and Prevention, U.S. , Computação em Nuvem , Interoperabilidade da Informação em Saúde/normas , Humanos , Uso Significativo , Informática Médica , Processamento de Linguagem Natural , Neoplasias/classificação , Neoplasias/epidemiologia , Neoplasias/terapia , Vigilância em Saúde Pública/métodos , Software , Estados Unidos/epidemiologia
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