Utility involves the usefulness of the information to its intended users. Utility is achieved by staying informed of information needs and developing new data, models, and information products where appropriate.
Based on internal analyses of information requirements, convening and attending conferences, working with advisory committees, and sponsoring outreach activities, CMS keeps abreast of information needs with respect to the analysis of CMS programs. To the extent possible, we base our analysis on CMS administrative data and surveys by other federal agencies or established survey organizations. When major needs for data related to CMS populations are identified, CMS conducts special-purpose surveys to address these needs. CMS's ongoing publication series and other information products are reviewed to ensure that they remain relevant and address current information needs. Based on internal product reviews, consultation with users, and in response to changing needs and emphases, content of ongoing information products is changed, new products are introduced and others discontinued. CMS prepares special reports and topical studies that address emerging information needs stemming from proposed changes in the law and related policy debates. Where appropriate, contact information is available on each publication (and in some cases on each table of a publication) to allow feedback and questions by users.
New and revised information products are tested with focus groups of intended recipients. In many cases, the structure of the content itself is a collaborative process involving providers, consumers, academicians, and policy analysts.
Objectivity involves a focus on ensuring that information is accurate, reliable and unbiased and that information products are presented in an accurate, clear, complete and unbiased manner. Objectivity is achieved by using reliable data sources and sound analytical techniques, and carefully reviewing information products prepared by qualified people using proven methods.
Using reliable data sources. Much of the information disseminated by CMS is based on administrative data files. These files contain information used to manage CMS programs, including data to determine benefit entitlement, and to compute and pay benefits. CMS staff conduct ongoing reviews of claims information in CMS data systems to ensure its accuracy. CMS administrative data are also covered under CMS's Financial Management Systems and conform to the high standards of financial accountability demanded by these Systems. These financial management systems are mandated by the Office of Management and Budget and are designed to provide complete, reliable, consistent, timely and useful management information to enable agencies to carry out their fiduciary responsibilities.
CMS-sponsored surveys are conducted using methodologies that are consistent with generally accepted professional standards for all aspects of survey development, including sample frame development, statistical design of the survey sample, questionnaire design and testing, data collection, sampling and coverage errors, nonresponse analysis, imputation of missing data, weights and variance estimates. CMS surveys follow guidelines and policies set forth in the Paperwork Reduction Act (PRA) and other regulations related to the conduct of government surveys. Through the PRA process, CMS ensures that information will be collected, maintained, and used in a way that is consistent with OMB, HHS and CMS information quality guidelines. CMS also prepares information products using data produced or maintained by other federal agencies and established survey organizations. Where possible, external data used by CMS are produced using generally accepted methodologies.
Where samples from administrative data files are employed for analysis, sound statistical methods are employed to develop samples. Staff involved in producing statistical publications are knowledgeable about the content, structure and limitations of the administrative data files and maintain working relations with staff who create, update and maintain these files.
Where administrative files are linked to surveys for analysis, sound procedures for extracting and linking data from external sources are employed, based on a thorough understanding of the relevant components of the data sources. Computer programs for sampling, extracting and linking external data files are developed and tested by technically qualified staff. Samples from administrative files are evaluated to ensure that samples are representative of the underlying administrative data files. Estimates prepared from external data sources are reviewed to ensure that the data extraction and linkage processes were implemented correctly.
Using sound analytic techniques. Analytical reports are prepared using a variety of analytical techniques. These techniques range from simple tabulations and descriptive summary statistics to multivariate statistical methods and econometric models. Analytical techniques are reviewed for their appropriateness to the data and the analysis being conducted and are clearly identified in reports. Actuarial estimates are subject to the standards of that profession and are certified by the Chief Actuary.
Preparing statistical data products. Estimates in statistical data products are prepared from representative random samples of CMS administrative data files and from reliable external data sources. Procedures for sampling from administrative files and linking external data files to administrative data files are prepared using accepted statistical methods.
Output is reviewed by knowledgeable staff within the originating component and across components as appropriate. Estimates are compared to prior year estimates and estimates from other sources to ensure consistency, reasonableness and reliability.
All data sources used in producing statistical data products are identified, either for the publication as a whole or for individual tables. Documentation includes specification of variables used, definitions of variables when appropriate, sampling errors and disclosure avoidance rules or techniques.
Preparing analytical reports and policy studies. Information contained in analytical reports and policy studies is based on estimates derived from reliable administrative data files and external data sources. Analysts apply sound statistical and analytical techniques and are knowledgeable about the data sources and models being used.
All data sources are identified. When analyses are based on simulation model projections, the assumptions used to produce the projections are also identified as well as the rationale for the assumptions used and the impact of using alternative assumptions.
All analytic reports and policy studies are reviewed by technically qualified staff to ensure that analysis is valid, complete, unbiased, objective and relevant. Analytic reports and policy studies that are considered to be more technically complex are also reviewed by subject matter experts outside of the originating component to provide additional perspective and expertise.
Establishing editorial review for accuracy and clarity of information in publications. All information products are edited and proofread before release to ensure clarity and coherence of the final report. Text is edited to ensure that the report is easy to read and grammatically correct, that thoughts and arguments flow logically, and that information is worded concisely and lucidly. Tables and charts are edited to ensure that they clearly and accurately illustrate and support points made in the text, and include concise but descriptive titles. Tables and charts clearly indicate the unit of measure and the universe being examined and all internal labels (column heads, row stubs, and panel headings) accurately describe the information they contain. All changes made to a manuscript during the editing process are checked by a proofreader and reviewed and approved by the author.