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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.

Practices that were submitted by local partners are listed first and will have a green box below them that indicates they are local. Users can also use the search features to find promising practices from across the country.

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CDC Communities Putting Prevention to Work: Increase Access to Cessation Services (Santa Clara County, CA)

Filed under Good Idea, Health / Alcohol & Drug Use, Racial/Ethnic Minorities

Goal: The goal is to increase cessation within communities with the highest tobacco use rates through culturally appropriate services provided through community-based organization partners.

Impact: The intervention has resulted in a 39% quit success rate.

CDC COMMUNITY GUIDE: Adolescent Health: Person-to-Person Interventions to Improve Caregivers' Parenting Skills (USA)

CDC

Filed under Evidence-Based Practice, Health / Adolescent Health, Teens, Families

Goal: To modify adolescents' risk and protective behaviors by improving their caregivers' parenting skills based on sufficient evidence of effectiveness in reducing adolescent risk behaviors.

Impact: Although the estimated effects varied substantially and were not statistically significant, risk behaviors decreased and youth participants reported increased refusal skills and self efficacy for avoiding risky behaviors in the future.

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.
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