Secondary Data

What it is:

  • Gathering, organizing and analyzing secondary data is essential in the process of Community and Population Health Development and the methodology of our Community and Population Health Status Assessment (CHSA), one of my services.
  • Secondary and "existing" data: An important dimension of collecting data that already exist on the health of a geographic area or population of interest is the use of "local" contact people and organizations to help assemble the data.
  • Demographics, the economy and local income distribution, the education system, state and local policies that influence access to resources, data from financing sources such as Medicare and Medicaid data, other data from departments of Welfare, Public Health, and Human Resources, individual states' Healthy People initiatives, and, most importantly, information on programs and efforts that have been researched and discussed, but never implemented in a community are just a few examples of types of secondary data that I analyze in a CHSA.

Value of Data:

Secondary data provides a context for qualitative and quantitative data.

  • Using these data is cost-effective in that someone else has already borne the costs of the collection and preliminary preparation of the data.
  • Community and Population Health Status Assessment (CHSA), organizing these data often involves requesting information from community members, state representatives or other resource holders.
  • Requesting data and information from organizations or individuals requires explaining the purpose for your request, and what will be done with the data or the report that is being shared. This request-exchange process builds relationships that bring other partners into the Community and Population Health Development process.
  • This "request" and exchange process begins to build a relationships that will have benefits immediately in the Community and Population Health Development process, and also in the future.

Where We Obtain Secondary Data:

  • Local organizations, such as hospitals or non-profits that have conducted previous assessments.
  • "Non-local" sources such as: U.S. Census Bureau, Centers for Disease Control (CDC) Wonder database and the national and State Behavioral Risk Factor Survey data.
  • Internet/Web-based sources; foundations, national research organizations and federal sources of data are most likely to be accessed via the Web.

Examples of Secondary Data:

  • History and geography
  • Population figures (total size, age and gender distribution, race/ethnicity)
  • Education indicators (high school drop out rate, educational attainment)
  • Income (persons under 100% and 200% of the federal poverty level, by age)
  • Household composition
  • Local employment (industry types, unemployment rate)
  • Housing (% of population that owns homes, current selling prices for new homes)
  • Government (local form, voting history, state and federal representatives with party)
  • Places of worship (number and types)
  • Local philanthropy (number and corpus, including United Way)
  • Resources and policies that influence access to care: primary care delivery sites, state
  • Medicaid policies, insurance mix at major primary and tertiary care providers, % of population uninsured, % of local market that is capitated insurance products
  • Incidence rates for select infectious diseases
  • Prevalence of health risks (smoking, overweight)
  • Prevalence of chronic diseases (hypertension, diabetes, asthma, cancer)
  • Death rates for eighteen "consensus" indicators selected by the Centers for Disease Control and Prevention
  • Utilization of preventive, primary and social services available in the community
  • Birth rates and percentage of births of low weight and to adolescents

What is a CHSA?


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Copyright © 2002 Charles Wiltraut.