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PRS Efficacy Criteria for Best-Evidence (Tier I) Behavioral Interventions
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Intervention Description

  • Clear description of key aspects of the intervention

Quality–Study design

  • Prospective study design
  • Appropriate and concurrent comparison arm
  • Random or minimally biased assignment of subjects to study arms

Quality–Study implementation and analysis

  • At least a 3-month postintervention follow-up assessment for each study arm (with recall referring to postintervention period only)
  • At least a 70% retention rate at a single follow-up assessment for each study arm
  • Comparison between intervention arm and an appropriate comparison arm
  • Analysis of subjects in study arms as originally assigned
  • Analysis of subjects regardless of the level of intervention exposure
  • Use of appropriate cluster-level analyses if assigned to study arms by cluster or group
  • Analysis must be based on postintervention levels or among pre-post changes in measures
  • For pre-post changes used in analysis, measures must be identical, including identical recall period
  • Analysis based on an α =.05 (or more stringent) and a 2-sided test
  • In nonrandomized assignment, either no statistical differences in baseline levels of the outcome exist or baseline differences are controlled for in the analysis

Strength of Evidence–Significant positive intervention effects

  • Positive and statistically significant (p ≤ .05) intervention effect for ≥ 1 relevant outcome measure
    • A positive intervention effect is defined as a greater reduction in HIV/STD incidence or risk behaviors or a greater increase in HIV protective behaviors in the intervention arm relative to the comparison arm.
    • A relevant outcome is defined as a behavior (e.g., abstinence, mutual monogamy, number of sex partners, negotiating safer sex, condom use, injection drug use, HIV testing behaviors) that directly impacts HIV risk or a biologic measure indicating HIV or STD infection (i.e., HIV or STD incidence)
  • Effect at the follow-up and based on the analyses that meet study implementation and analysis criteria

Strength of Evidence–Negative intervention effects

  • No negative and statistically significant (p < .05) intervention effect for any relevant outcome (A negative intervention effect is defined as a greater increase in HIV/STD incidence or risk behaviors or a greater decrease in HIV protective behaviors in the intervention arm relative to the comparison arm.)
  • No other statistically significant harmful intervention effect
  • For an intervention with a replication evaluation, no significant negative intervention effects in the replication study

Overall fatal flaw

  • No evidence that any additional limitation was a fatal flaw
    • A fatal flaw has occurred when the limitation is thought to introduce considerable bias, thus substantially reducing the confidence of the findings
    • Examples of fatal flaws include: small sample size (<50 participants per study arm); effects only found within a potentially biased subset analyses; substantial missing data

All criteria must be satisfied for an intervention to be considered as a best-evidence behavioral intervention
Source. Lyles et al. (2006) [14] and Lyles at al. (2007) [15].

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Last Modified: December 26, 2006
Last Reviewed: December 26, 2006
Content Source:
Divisions of HIV/AIDS Prevention
National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention
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