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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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CDC COMMUNITY GUIDE: Diabetes Prevention and Control: Disease Management Programs (USA)

CDC

Filed under Evidence-Based Practice, Health / Diabetes

Impact: The Diabetes Community Guide can improve biological components of diabetes for those treated for either type 1 or type 2 diabetes in both community clinics and managed care organizations.

CDC COMMUNITY GUIDE: Early Childhood Development Programs: Comprehensive, Center-Based Programs for Children of Low-Income Families (USA)

CDC

Filed under Evidence-Based Practice, Community / Social Environment, Children, Families, Racial/Ethnic Minorities

Impact: Evidence shows that publicly-funded, center-based, comprehensive early childhood development programs for low-income children aged 3 to 5 years can be effective in preventing delay of cognitive development and increasing readiness to learn.

CDC COMMUNITY GUIDE: Environmental and Policy Approaches to Increase Physical Activity: Community-Scale Urban Design Land Use Policies (USA)

CDC

Filed under Evidence-Based Practice, Health / Physical Activity, Children, Teens, Adults, Women, Men, Older Adults, Families, Racial/Ethnic Minorities

Impact: Design and land use policies that encourage physical activity in urban areas can help increase overall physical activity in bikers and walkers.

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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