Exploring willingness to use adverse drug reaction reporting systems: a multicentre qualitative study in China based...

Adverse drug reaction (ADR) reporting systems are critical for monitoring and managing drug safety. However, various factors influence the willingness to use these systems. This study aimed to investigate the willingness to use ADR reporting systems through an integrated model of the Technology Acceptance Model (TAM) and Task-Technology Fit (TTF) theory, conducting a multicentre qualitative study from the user's perspective.

This study used qualitative research methods, including in-depth interviews with clinicians, nurses, pharmacists and administrators who reported ADRs through the National Adverse Drug Reaction Monitoring System (NADRMS) and the China Hospital Pharmacovigilance System (CHPS). The interviews were audio-recorded, transcribed verbatim and analysed using QDA Miner software for data management and thematic analysis.

Eighteen healthcare workers from five healthcare organisations participated in the study. They found the ease of use and usefulness of the current NADRMS and CHPS to be acceptable. The essential technical requirements identified included accuracy, standardisation, timeliness and confidentiality. However, challenges such as inaccurate information capture, unstable interfacing with medical record systems, low reporting efficiency and lack of data sharing were highlighted. Overall, front-line healthcare workers exhibited a generally negative attitude towards using NADRMS and CHPS, driven more by necessity than preference. Factors influencing their willingness to use these systems included ease of use, practicality, risk perception and social impact, with varying attitudes and requirements observed between user groups.

This study provides practical recommendations that can be readily implemented to enhance the effectiveness and sustainability of ADR reporting systems. While front-line users in China acknowledged the systems' ease of use and usefulness, they also noted significant gaps in technological adaptation. They expressed the need for improvements in data openness and sharing, accessibility and system intelligence.