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Related Concept Videos

Randomized Experiments01:13

Randomized Experiments

The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...

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Comprehensive & Cost Effective Laboratory Monitoring of HIV/AIDS: an African Role Model
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Using behavioural insights to increase HIV self-sampling kit returns: a randomized controlled text message trial to

L J Brown1,2, K S Tan2, L E Guerra3

  • 1Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK.

HIV Medicine
|July 3, 2018
PubMed
Summary

Behaviourally informed (BI) text messages significantly increased HIV self-sampling kit return rates. Older age and identifying as men who have sex with men were associated with higher return rates.

Keywords:
HIV diagnostic testsbehavioural interventionspublic healthrandomized controlled trialtext messaging

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Area of Science:

  • Public Health
  • Digital Health Interventions
  • Behavioral Science

Background:

  • Online HIV self-sampling kits offer convenient access to testing.
  • Optimizing kit return rates is crucial for maximizing the impact of these programs.
  • Short Message Service (SMS) reminders are a common tool to encourage user engagement.

Purpose of the Study:

  • To evaluate the effectiveness of behaviourally informed (BI) short message service (SMS) primer and reminder messages in increasing the return rate of HIV self-sampling kits.
  • To assess the independent effects and interaction of primer messages and BI messages on kit return.

Main Methods:

  • A 2x2 factorial randomized controlled trial involving 9585 individuals ordering HIV self-sampling kits online.
  • Four SMS intervention groups: standard reminders, primer plus standard reminders, BI reminders, and primer plus BI reminders.
  • Logistic regression analysis to determine the impact of interventions and sociodemographic factors on kit return.

Main Results:

  • Behaviourally informed (BI) reminders significantly increased kit return rates by 4% (OR 1.13, P=0.003).
  • No significant effect was found for primer messages or an interaction between primer and BI reminders.
  • Kit return was higher among older individuals (≥65 years), men who have sex with men, and varied by ethnicity.

Conclusions:

  • Integrating behaviourally informed strategies into SMS reminders effectively improves HIV self-sampling kit return rates.
  • These digital health interventions can enhance public health program efficiency without additional costs.
  • Understanding sociodemographic factors can further refine targeted outreach for HIV testing.