mHealth-based peer mentoring for prevention of alcohol and substance abuse among first year university students: protocol for quasi-experimental intervention

Figures & data

Table 1. Gives a summary of the methodology: the study objectives, data needed, study design, location, sources of data, sample size, data collection tools, and data analysis

	Objective One	Objective Two	Objective Three	Objective Four	Objective Five	Objective Six
Objectives	To determine the knowledge, attitude and prevalence (KAP) of alcohol and substance use at the entry to university and a repeat survey 12 months later after the intervention	To determine the acceptability of a peer mentoring intervention program on alcohol and substance use prevention, delivered via a mHealth or paper-based approach by peer mentors	To determine the reach (number of contacts between peer mentors and students) in the mHealth technology group as compared to the paper-based approach group.	To determine the patterns of alcohol and substance use among the students’ population as identified by peer mentors in the mHealth and paper-based intervention groups.	To evaluate the awareness and sensitization sessions on alcohol and substance use conducted by peer mentors in the mHealth group and the paper-based group	To explore qualitatively, the experiences of all peer, mentors, whether they used the paper-based approach or mHealth for alcohol and drug abuse intervention
Data collected	KAP frequencies, lifetime substance use, current substance use, attitude measures toward drug use	Acceptability of intervention measures, perceived usefulness, perceived ease of use, behavior intention to use the intervention and actual use	Contacts between mentors and Mentees Frequency and duration of contacts	Substances consumed by the mentees, patterns of use, levels of use Other problem areas presented by the mentees	Enumerate the number of awareness sessions, how many mentees attend the sensitizations, Topics discussed during sensitization meetings	Lived experiences of the mentors while delivering the intervention
Study design	Cross-sectional survey	Pretest and posttest questionnaire	Quasi-experimental	Quasi-experimental	Quasi-experimental	Focused Group Discussions
Location	Two separate University campuses	Two separate University campuses	Two separate University campuses	Two separate University campuses	Two separate University campuses Campus one will be the site for an experimental group while Campus two will have mentors who use treatment as usual practice	Two separate University campuses
Source of data	First-year university students	Student Peer Mentors	mHealth Application Paper-based intervention tool	mHealth Application Paper-based intervention tool	mHealth Application Paper-based intervention tool	mHealth Application Paper-based intervention tool
Sample size	384 students	100 Student Peer Mentors	100 student Peer Mentors	100 Student Peer Mentors	100 student Peer Mentors	Sets of 8 to 12 homogenous Student Peer Mentors participate in a focused group discussion until saturation is achieved
Inclusion criteria	All first-year university students who give written consent	All first-year student peer mentors who meet the inclusion criteria and as well give consent	All first-year student peer mentors who meet the inclusion criteria and as well give consent	All first-year student peer mentors who meet the inclusion criteria and as well give consent	All first-year student peer mentors who meet the inclusion criteria and as well give consent	All first-year student peer mentors who meet the inclusion criteria and as well give consent
Data collection tools	Questionnaire: (WHO- ASSIST) and (AUDIT) and a researcher designed Socio-demographic questionnaire	Technology Acceptability Measure(TAM) tool Acceptance of Intervention Measure (AIM), Appropriateness of Intervention Measure and Feasibility of Intervention Measure (FIM) tool	MHealth App data, Researcher designed peer mentoring guide tool	The researcher designed a peer mentoring guide tool Health App data and	ODK based mHealth data collection tool and The researcher designed a peer mentoring guide tool	Focused Group Discussion Interview Guide
Data analysis	Descriptive statistics Frequencies and percentages Logistic regression analysis	Descriptive statistics Frequencies and percentages Logistic regression analysis	Descriptive statistics Frequencies and percentages Logistic regression analysis	Descriptive statistics Frequencies and percentages Logistic regression analysis	Descriptive statistics Frequencies percentages and Logistic regression analysis	Thematic content Analysis

Data availability

This article is a research proposal. The dataset generated will be made available from the corresponding author on a reasonable request.