Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Formative Research

Date Submitted: May 30, 2024
Date Accepted: Feb 24, 2025

The final, peer-reviewed published version of this preprint can be found here:

Anticipated Acceptability of Blended Learning Among Lay Health Care Workers in Malawi: Qualitative Analysis Guided by the Technology Acceptance Model

Mbeya-Munkhondya TE, Meek CJ, Mphande M, Tembo TA, Chitani MJ, Jean-Baptiste M, Kumbayo C, Vansia D, Simon KR, Rutstein SE, Mwapasa V, Go V, Kim MH, Rosenberg NE

Anticipated Acceptability of Blended Learning Among Lay Health Care Workers in Malawi: Qualitative Analysis Guided by the Technology Acceptance Model

JMIR Form Res 2025;9:e62741

DOI: 10.2196/62741

PMID: 40194303

PMCID: 11996148

Anticipated acceptability of blended learning among lay health care workers in Malawi: A qualitative analysis guided by the Technology Acceptance Model

  • Tiwonge E. Mbeya-Munkhondya; 
  • Caroline J. Meek; 
  • Mtisunge Mphande; 
  • Tapiwa A. Tembo; 
  • Mike J. Chitani; 
  • Milenka Jean-Baptiste; 
  • Caroline Kumbayo; 
  • Dhrutika Vansia; 
  • Katherine R. Simon; 
  • Sarah E. Rutstein; 
  • Victor Mwapasa; 
  • Vivian Go; 
  • Maria H. Kim; 
  • Nora E. Rosenberg

ABSTRACT

Background:

HIV index case testing (ICT) aims to identify people living with HIV (PLWH) and their contacts, engage them in HIV testing services, and link them to care. ICT implementation has faced challenges in Malawi due to limited counselling capacity among lay health care workers (HCWs). Enhancing capacity through centralized face-to-face training is logistically complex and expensive. A decentralized blended learning approach to HCW capacity-building, combining face-to-face and digital modalities, may be an acceptable way to address this challenge. This analysis describes factors influencing HCW anticipated acceptability of blended learning.

Objective:

The objective of this analysis is to describe factors influencing HCW anticipated acceptability of blended learning.

Methods:

This formative qualitative study involved conducting twenty-six in-depth interviews (IDIs) with HCWs involved in the ICT program across 14 facilities in Machinga and Balaka, Malawi (November-December 2021). Results were analyzed thematically using the Technology Acceptance Model (TAM). Themes were grouped into factors affecting the two sets of TAM constructs: perceived usefulness and perceived ease of use.

Results:

Factors influencing perceived usefulness included the opportunity for self-guided learning through digital portions and the opportunity for social exchange through face-to-face interactions. Factors influencing perceived ease of use included need for orientation to the digital technology, accessibility of devices, communication around training schedules, support for logistical arrangements to avoid work interruptions; and monetary compensation to motivate learning.

Conclusions:

A decentralized blended learning approach may be an acceptable method of enhancing ICT knowledge and skills among HCWs in Malawi, although factors influencing acceptance of technology use need to be considered.


 Citation

Please cite as:

Mbeya-Munkhondya TE, Meek CJ, Mphande M, Tembo TA, Chitani MJ, Jean-Baptiste M, Kumbayo C, Vansia D, Simon KR, Rutstein SE, Mwapasa V, Go V, Kim MH, Rosenberg NE

Anticipated Acceptability of Blended Learning Among Lay Health Care Workers in Malawi: Qualitative Analysis Guided by the Technology Acceptance Model

JMIR Form Res 2025;9:e62741

DOI: 10.2196/62741

PMID: 40194303

PMCID: 11996148

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.