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Introduction: Technological advancement in low-resource settings is opening the gateway to implementation of electronic data collection methods that improve data quality. We examined the concerns to use electronic data collection tool in Zanzibar, codeveloped a tool that addressed the concerns and evaluated the process and limitations of incorporating an electronic data collection tool aside from paper-based during a community-based study in Zanzibar.
Methods: The science of improvement Plan-Do-Study-Act model guided this mixed-method participatory action research (PAR). From November 2022 to October 2023, 14 data collection team members participated in (1) a consultative workshop with a fishbone analysis to understand their hesitance to use electronic data collection tools for fieldwork (Plan); (2) developing implementation and evaluation plan for the paper-based method (Do); (3) assessing the proportion of errors and challenges faced using paper-based method (Study); and (4) codeveloping, implementing and assessing an electronic data collection tool (Act).
Results: Stakeholders were hesitant to use electronic data collection tools because of fear of lost data due to poor internet, insufficient competency with technology due to lack of training, unfamiliarity with technology in general and fear of lost wages. The study revealed that using a paper-based data collection tool during baseline was time-consuming, with 12.8% of responses being errors (2611 errors out of 20 398 responses). However, once implemented, the electronic data collection application was fast and simple, with minimal errors (0.02%). Overall, there is a need to improve devices' storage capacity devices and provide more training.
Conclusion: Using the PAR approach, we understood the concerns with electronic data collection tools, allowed the team to experience the challenges faced with the paper-based collection method, codeveloped an appropriate solution and changed their attitude towards using technology that could increase accuracy and efficiency of their fieldwork.
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http://dx.doi.org/10.1136/bmjph-2023-000749 | DOI Listing |
JMIR Ment Health
September 2025
National Institute of Health and Care Research MindTech HealthTech Research Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Background: Cross-sector collaboration is increasingly recognized as essential for addressing complex health challenges, including those in mental health. Industry-academic partnerships play a vital role in advancing research and developing health solutions, yet differing priorities and perspectives can make collaboration complex.
Objective: This study aimed to identify key principles to support effective industry-academic partnerships, from the perspective of industry partners, and develop this into actionable guidance, which can be applied across sectors.
JMIR Res Protoc
September 2025
National Institute of Public Health, University of Southern Denmark, Copenhagen K, Denmark.
Background: The high and increasing rate of poor mental health among young people is a matter of global concern. Experiencing poor mental health during this formative stage of life can adversely impact interpersonal relationships, academic and professional performance, and future health and well-being if not addressed early. However, only a few of those in need seek help.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
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View Article and Find Full Text PDFJMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
School of Advertising, Marketing and Public Relations, Faculty of Business and Law, Queensland University of Technology, Brisbane, Australia.
Background: Labor shortages in health care pose significant challenges to sustaining high-quality care for people with intellectual disabilities. Social robots show promise in supporting both people with intellectual disabilities and their health care professionals; yet, few are fully developed and embedded in productive care environments. Implementation of such technologies is inherently complex, requiring careful examination of facilitators and barriers influencing sustained use.
View Article and Find Full Text PDF