Quality assurance for screening mammography data collection systems in 22 countries.

Item does not contain fulltextOBJECTIVES: To document the mammography data that are gathered by the organized screening programs participating in the International Breast Cancer Screening Network (IBSN), the nature of their procedures for data quality assurance, and the measures used to assess program performance and impact. METHODS: A detailed questionnaire covering multiple aspects of quality assurance in screening mammography was mailed to IBSN representatives in 23 countries. RESULTS: Countries collect a wealth of screening mammography data, much of it computerized. Most countries have designated staff for data quality assurance. All provide staff training, and most have documentation requirements for data collection. Nearly all have one or more procedures to maintain data confidentiality. Countries are heterogeneous in collecting and assessing data to monitor screening program performance and impact. CONCLUSIONS: Demonstrating that population-based screening mammography reduces breast cancer mortality requires collection of high-quality data on key aspects of the multi-step screening process. Assuring the quality of data collection systems for screening mammography programs is an important and evolving area for IBSN countries

Emerging approaches to multiple chronic condition assessment.

Older adults experience a higher prevalence of multiple chronic conditions (MCCs). Establishing the presence and pattern of MCCs in individuals or populations is important for healthcare delivery, research, and policy. This report describes four emerging approaches and discusses their potential applications for enhancing assessment, treatment, and policy for the aging population. The National Institutes of Health convened a 2-day panel workshop of experts in 2018. Four emerging models were identified by the panel, including classification and regression tree (CART), qualifying comorbidity sets (QCS), the multimorbidity index (MMI), and the application of omics to network medicine. Future research into models of multiple chronic condition assessment may improve understanding of the epidemiology, diagnosis, and treatment of older persons

Comorbidity-Adjusted life expectancy: A new tool to inform recommendations for optimal screening strategies

Background: Many guidelines recommend considering health status and life expectancy when making cancer screening decisions for elderly persons. Objective: To estimate life expectancy for elderly persons without a history of cancer, taking into account comorbid conditions. Design: Population-based cohort study. Setting: A 5% sample of Medicare beneficiaries in selected geographic areas, including their claims and vital status information. Participants: Medicare beneficiaries aged 66 years or older between 1992 and 2005 without a history of cancer (n = 407 749). Measurements: Medicare claims were used to identify comorbid conditions included in the Charlson index. Survival probabilities were estimated by comorbidity group (no, low/medium, and high) and for the 3 most prevalent conditions (diabetes, chronic obstructivepulmonary disease, and congestive heart failure) by using the Cox proportional hazards model. Comorbidity-adjusted life expectancy was calculated based on comparisons of survival models with U.S. life tables. Survival probabilities from the U.S. life tables providing the most similar survival experience to the cohort of interest were used.Results: Persons with higher levels of comorbidity had shorter life expectancies, whereas those with no comorbid conditions, including very elderly persons, had favorable life expectancies relative to an average person of the same chronological age. The estimated life expectancy at age 75 years was approximately 3 years longer for persons with no comorbid conditions and approximately 3 years shorter for those with high comorbidity relative to the average U.S. population. Limitations: The cohort was limited to Medicare fee-for-service beneficiaries aged 66 years or older living in selected geographic areas. Data from the Surveillance, Epidemiology, and End Results cancer registry and Medicare claims lack information on functional status and severity of comorbidity, which might influence life expectancy in elderly persons. Conclusion: Life expectancy varies considerably by comorbidity status in elderly persons. Comorbidity-adjusted life expectancy may help physicians tailor recommendations for stopping or continuing cancer screening for individual patients. Primary Funding Source: None