MIRERC 037/2025: UTILIZATION OF SELECTED MOBILE PHONE APPLICATIONS AMONG HEALTHCARE WORKERS TO COMBAT SELECTED NFECTIOUS DISEASES IN MERU COUNTY, KENYA

Abstract

ABSTRACT

Infectious diseases remain a significant public health challenge, contributing substantially to
morbidity and mortality worldwide, particularly in resource-limited settings. While
traditional public health interventions have played a crucial role, the integration of mobile
phone applications (mHealth) offers a promising avenue for enhancing disease control. This
study investigates the utilization of selected mobile phone applications among healthcare
workers in Meru County, Kenya, focusing on their role in combating specific infectious
diseases prevalent in the region. The primary aim is to comprehensively assess the impact of
these applications on various aspects of disease management. Specifically, this research
explores the effectiveness of mHealth applications in: delivering targeted health education
and awareness campaigns to the community; providing diagnostic support to healthcare
professionals; facilitating remote health monitoring of patients; and supporting health
research initiatives related to infectious diseases. Employing a convergent mixed methods
design, this study will integrate quantitative and qualitative data to provide a holistic
understanding of mHealth application utilization. Quantitative data will be collected through
structured questionnaires administered to a sample of 321 healthcare workers, determined
using proportionate simple random sampling within a purposively selected population of
healthcare facilities in Meru County. Qualitative data will be gathered through focused
group discussions (FGDs) with 7-11 participants per group, purposively selected to
represent diverse professional roles and experiences. Quantitative data will be analyzed
using Statistical Package for Social Science (SPSS) version 27.0, employing descriptive
statistics (frequencies and percentages) and logistic regression analysis at a 95% Confidence
Interval (CI). Statistical significance will be determined at a p-value of less than 0.05.
Findings will be presented through tables, charts, and cross-tabulations. Qualitative data will
be transcribed, coded, and thematically analyzed using NVivo software, with results
presented as coherent themes. This study anticipates revealing critical insights into the
current utilization patterns, perceived benefits, and challenges associated with mHealth
application use among healthcare workers in Meru County. The findings are expected to
contribute significantly to the development of evidence-based strategies for enhancing
healthcare delivery and disease prevention, particularly in the context of infectious diseases.

Furthermore, the results will inform the formulation of targeted policies and interventions
aimed at strengthening infectious disease control efforts, ultimately improving public health
outcomes in the region. By elucidating the role of mobile technology in healthcare, this
research will offer valuable guidance for scaling up effective mHealth interventions in
similar settings.