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Promising Practices

The Promising Practices database informs professionals and community members about documented approaches to improving community health and quality of life.

The ultimate goal is to support the systematic adoption, implementation, and evaluation of successful programs, practices, and policy changes. The database provides carefully reviewed, documented, and ranked practices that range from good ideas to evidence-based practices.
Learn more about the ranking methodology.

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Tribal Motor Vehicle Injury Prevention Programs (Arizona and Wisconsin)

Filed under Evidence-Based Practice, Community / Public Safety, Racial/Ethnic Minorities

Goal: The goal of tribal motor vehicle injury prevention programs is to reduce disparities in rates of motor vehicle-related injuries and deaths.

Impact: Projects to increase motor vehicle safety on tribal reservations increased seat belt use among drivers, increased use of child safety seats, and decreased motor vehicle crashes.

Trying Alternative Cafeteria Options in Schools (TACOS) (Minneapolis and St. Paul, Minnesota)

Filed under Evidence-Based Practice, Health / Physical Activity, Teens, Urban

Goal: The goal of the TACOS program was to use an environmental intervention to increase the availability and consumption of lower-fat foods in a la carte areas of secondary school cafeterias.

Impact: The TACOS program successfully increased both the availability and sale of lower-fat foods in a la carte areas of secondary school cafeterias.

Urban Mold and Moisture Program (Cuyahoga, OH)

Filed under Evidence-Based Practice, Health / Children's Health, Urban

Goal: The goal of the Urban Mold and Moisture Program is to reduce environmental mold, moisture, and asthma triggers in homes to improve pediatric respiratory health.

An Effective Practice meets the following HCI criteria:

  1. The program description includes at a minimum: the sponsoring organization, program goals, program implementation steps, and outcomes that have demonstrated program success and/or promise in achieving the program goal in one or more localities.
  2. The results from an evaluation of the program include quantitative measures of improvement in outcome of interest (i.e. increase in voter registration, not just delivery of voter registration drive) and/ or the outcome measure is increased or improved compared to the baseline measurement or the control group but the difference is not statistically significant.

A Good Idea meets the following HCI criteria:

  1. The program description includes: the sponsoring organization, program goals, program funding source, program implementation steps and outcomes.
  2. The program evaluation is limited to descriptive measure(s) of success/accomplishment (i.e., program participation rates, number of services/education sessions/radio messages provided). Note: oftentimes, the program has been newly implemented and a program evaluation has not yet been conducted. Programs that have not yet been evaluated, but which show promise in improving health or quality of life, are classified as Good Ideas until an evaluation is conducted.

An Evidence-Based Practice meets the following HCI criteria:

  1. The program description includes at a minimum: the sponsoring organization, program goals, program implementation steps, and outcomes that have demonstrated program success in achieving the program goal in one or more localities.
  2. The results from an evaluation of the program include quantitative measures showing improvement in the outcome(s) of interest after the implementation of the program (i.e. increase in smoking cessation, not just the delivery of a smoking cessation program). The outcome measure(s) is/are compared at relevant time periods before and after the intervention or program implementation. Alternatively, the evaluation study compares the outcome(s) between an intervention group and an appropriate control group.
  3. The study is of peer-review quality and presents numbers in a scientific manner; measurements of precision and reliability are included (e.g. confidence intervals, standard errors), results from statistical tests show a significant difference or change in the outcome measure(s), and relevant point estimates and p-values are presented. Note: if the results from an evaluation of a program are presented in a scientific manner and the outcome measure is improved compared to the baseline measurement or the control group but the difference is not statistically significant, the practice is classified as effective and not evidence-based.