ReviewOnline journal of public health informatics2018
Successful Public Health Information System Database Integration Projects: A Qualitative Study.
Review in Online journal of public health informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Adherence to Usability and Accessibility Principles in Digital Health Applications for Patients With Diabetes: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Rehab-AMD: co-design of an application for visual rehabilitation and monitoring of Age-related Macular Degeneration.BMC medical informatics and decision making · 2024Article
- Co-design of a Smartphone App for People Living With Dementia by Applying Agile, Iterative Co-design Principles: Development and Usability Study.JMIR mHealth and uHealth · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the most important public health information system database integration project success factors to include: technological, organizational, project-specific, or external.
methodsThis study involved a cross-case design. Cases were identified through literal replication logic and screened through a survey and review of available literature. Study participants were interviewed through hour-long sessions steered by a semi-structured guide. Survey responses, interview transcripts and available documents were coded and analyzed deductively, and matrices were developed to illustrate relationships.
resultsLeadership among the project's participants is the most important integration project success factor. This leadership factor manifests in the following ways. Executive sponsors champion the initiative. Informaticians facilitate communication and system requirement collection. Program directors contribute substantive energy to the project and remove obstacles. Some other factors also contribute to project success. For example, strong Financial Management and Support promotes project initiation. Technological aspects impact the final product's quality. Utilizing formal project management techniques, particularly the Agile software development methodology, contributes to successful project resolution by ensuring daily operational effectiveness. DISCUSSION: The principal finding illustrates important contributions by project leaders, transcending those of the executive sponsor. Other participants, notably informaticians and program directors, substantially contribute to the project's success. Additionally, the Agile software development methodology is emerging as a successful approach to project management for these and related projects.
conclusionInvesting in the leadership and project management skills of database integration project participants could improve the success of future projects. State health department staff considering these projects should carefully select project participants and train them accordingly.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.