Desirable Characteristics and Current Status of State Web-based Data Query Systems National Association for Public Health Statistics and Information Systems.

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Presentation transcript:

Desirable Characteristics and Current Status of State Web-based Data Query Systems National Association for Public Health Statistics and Information Systems 6 June 2006 Daniel J. Friedman, Ph.D.

1 Topics 1.Background 2.Key terms 3.Desirable characteristics 4.Current status 5.Lessons

Daniel J. Friedman, Ph.D.2 Background Sponsors Purpose Participants Process Products

Daniel J. Friedman, Ph.D.3 Sponsors Centers for Disease Control and Prevention, National Center for Public Health Informatics, Assessment Initiative National Association of Public Health Statistics and Information Systems National Association of Health Data Organizations

Daniel J. Friedman, Ph.D.4 Purpose 1.Develop basic information about WDQS and WDQS development process useful to states and counties developing, considering developing or revising WDQS 2.Foster collaboration among CDC/AI-funded and other states interested in building, borrowing, or buying a WDQS 3.Explore potential of WDQS guidelines or de facto standards

Daniel J. Friedman, Ph.D.5 Participants States Florida (CHARTS) Georgia (OASIS) Massachusetts (MassCHIP) Missouri (MICA) Rhode Island Seattle/King County (VistaPHw) South Carolina (SCAN) Utah (IBIS) National CDC/NCPHI –AI –WONDER NAPHSIS NAHDO Public Health Agency of Canada/Office of Public Health Practice

Daniel J. Friedman, Ph.D.6 Process 2005 Workgroup meetings, March and September Conference calls and exchanges Iterative development, review, and revision of products

Daniel J. Friedman, Ph.D.7 Products 1.Matrices –Functionalities –Data sets –Funding and costs –Operations –Initial development and implementation case history 2.Final report –Current status of state WDQS –Desirable functionalities –Data sets 3.Journal of Public Health Management and Practice special issue, March 2006

Daniel J. Friedman, Ph.D.8 Key Terms

Daniel J. Friedman, Ph.D.9 Web-based data query system (WDQS) Provides user access through a dynamic interface to data pertaining to population health and the determinants of population health on the World Wide Web

Daniel J. Friedman, Ph.D.10 Data set A single file containing many records, each of which contains the same set of fields (adapted from FOLDOC [hp] database); “a collection of related data records” (American Heritage Dictionary 2000 [hp]).

Daniel J. Friedman, Ph.D.11 Dynamic and static interfaces Dynamic interface enables user to customize data queries through choosing data sets, variables, measures, and the format for presenting query results Static interface limits user choice to pre- calculated statistics presented in pre- formatted reports, tables, graphs, or maps

Daniel J. Friedman, Ph.D.12 Functionality Any aspect of what a Web-based data query system can do for a user: its features and capabilities

Daniel J. Friedman, Ph.D.13 Types of WDQS functionalities Basic=fundamental to a WDQS and serves as the starting point for WDQS enhancements and innovations Enhanced=increases the value and effectiveness of a WDQS for its users, beyond basic functionalities Innovative=original and creative features, beyond both basic and enhanced functionalities

Daniel J. Friedman, Ph.D.14 Identifying desirable WDQS functionalities Consensus process to: 1.Develop matrix of WDQS functionalities 2.Categorize each functionality into hierarchy consisting of Major functionalities (11) Sub-functionalities (21) Specific functionalities (141) 3.Classify each specific functionality as basic, enhanced, or innovative

Daniel J. Friedman, Ph.D.15 WDQS major functionalities (11) Query design Geographic Levels Statistics Tables Graphs Maps and interactive GIS Benchmark and time trend data Custom grouping of data Documentation for individual custom queries On-line meta-data and help tools Export to file

Daniel J. Friedman, Ph.D.16 WDQS major functionality—statistics Sub-functionalities (8) : Counts Percentages Rates Rate ratios Significance testing Other statistics and measures Treatment of unknown values Cell size suppression

Daniel J. Friedman, Ph.D.17 WDQS major functionality—statistics Sub-functionality—treatment of unknown values Specific functionalities (5): Basic specific functionalities –Unknown values excluded from numerator –Unknown values excluded from denominator Enhanced specific functionalities –Unknown values imputed (depending upon imputation methodology) Innovative specific functionalities: –User selects inclusion of unknown values

Daniel J. Friedman, Ph.D.18 Identifying desirable WDQS data sets Consensus process agreements: –State needs, resources, and priorities differ –No classification of desirable WDQS data sets –Major groups of data sets in leading state WDQS (12)

Daniel J. Friedman, Ph.D.19 Overview of data sets in well- established WDQS Administrative Chronic disease Communicable disease Environmental Health care resources Infant and child Injury Population counts, estimates, and projections Population-based surveys Programmatic Vital events Linked analytic files

Daniel J. Friedman, Ph.D.20 Overview of data sets in well- established WDQS Population-based surveys –Behavioral Risk Factor Surveillance System (BRFSS) –Youth Risk Factor Survey (YRBS) –Pregnancy Risk Assessment Monitoring Systems (PRAMS) –Other

Daniel J. Friedman, Ph.D.21 Current status of state WDQS--methods Identifying state WDQS –Consensus process –State health department Web sites –Personal knowledge

Daniel J. Friedman, Ph.D.22 Current status of state WDQS--methods One WDQS reviewed per state Single reviewer Perspective of member of public without previous WDQS experience Defined time periods for review Structured review form, with 54 specific functionalities –26 basic –20 enhanced –2 innovative No extraordinary measures

Daniel J. Friedman, Ph.D.23 Current status of state WDQS Number of states with WDQS 27 states with one or more WDQS –19 one WDQS –8 more than one 25 state WDQS used Web browser WDQS data sets Median of 5 data sets per WDQS 2 WDQS with more than 15 data sets Most commonly available: deaths, births, cancer incidence, hospital discharges, population counts

Daniel J. Friedman, Ph.D.24 Current status of state WDQS 26 reviewed basic specific functionalities –17 provided by at least half of 27 WDQS –4 provided by 5 or fewer WDQS 20 reviewed enhanced specific functionalities –6 provided by more than half of 27 WDQS –8 provided by 5 or fewer WDQS 2 reviewed innovative specific functionalities –1 provided by 11 WDQS –1 provided by 4 WDQS

Daniel J. Friedman, Ph.D.25 Lessons for requirements definition processes Identify full range of users Expertise continuum Professional role continuum Governmental continuum Consult and involve full range of users Employ considered, iterative process, with multiple opportunities for input, feedback, revision Let iterative process drive timeframe

Daniel J. Friedman, Ph.D.26