Translate to Spanish/Español, Mongolian or other language
Home > Promising Practices

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.

Submit a Promising Practice

Search Filters Clear all
(69 results)

Save a link to this search

Ranking
Featured
Primary Target Audience
Topics and Subtopics
Geographic Type
Search

Accelerated Benefits (AB) Demonstration (USA)

Filed under Evidence-Based Practice, Health / Disabilities, Adults

Goal: The program's goal was to eliminate the waiting period for access to health care benefits for newly entitled SSDI beneficiaries, and see if this investment has long-term benefits.

Impact: The AB Demonstration project successfully increased the use of health care services and reduced the reported unmet health care needs of participants in the program.

CDC COMMUNITY GUIDE: Decreasing Tobacco Use Among Workers: Smoke-Free Policies to Reduce Tobacco Use (USA)

CDC

Filed under Evidence-Based Practice, Health / Alcohol & Drug Use, Adults

Impact: The Community Preventive Services Task Force (CPSTF) recommends smoke-free policies to reduce secondhand smoke exposure and tobacco use on the basis of strong evidence of effectiveness. Evidence is considered strong based on results from studies that showed effectiveness of smoke‑free policies in:

Reducing exposure to secondhand smoke
Reducing the prevalence of tobacco use
Increasing the number of tobacco users who quit
Reducing the initiation of tobacco use among young people
Reducing tobacco-related morbidity and mortality, including acute cardiovascular events
Economic evidence indicates that smoke-free policies can reduce healthcare costs substantially. In addition, the evidence shows smoke-free policies do not have an adverse economic impact on businesses, including bars and restaurants.

CDC COMMUNITY GUIDE: Preventing Excessive Alcohol Consumption: Increasing Alcohol Taxes (USA)

CDC

Filed under Evidence-Based Practice, Health / Alcohol & Drug Use, Teens, Adults

Impact: The Community Preventive Services Task Force (CPSTF) has found that increasing the unit price of alcohol by raising taxes can help prevent excessive alcohol consumption and related harms.

CDC COMMUNITY GUIDE: Preventing Excessive Alcohol Consumption: Maintaining Limits on Days of Sale (USA)

CDC

Filed under Evidence-Based Practice, Health / Alcohol & Drug Use, Adults

Impact: In order to prevent excessive alcoholism and related harms, the Community Preventive Services Task Force recommends supporting existing limits on days in which alcoholic beverages may be sold.

CDC COMMUNITY GUIDE: Preventing Excessive Alcohol Consumption: Maintaining Limits on Hours of Sale (USA)

CDC

Filed under Evidence-Based Practice, Health / Alcohol & Drug Use, Adults

Impact: The Community Preventive Services Task Force recommends limiting access to alcohol by regulating the hours it can be sold as they found that increasing the hours available for alcohol sale can result in an increase in alcohol consumption and alcohol-related motor vehicle crashes.

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.