ArticlePloS one2025
Examine frameworks policies and strategies for effective information governance in healthcare organizations.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Patient-Centered Summarization Framework for AI Clinical Summarization: Mixed Methods Study.Journal of medical Internet research · 2026Article
- Multi-heterogeneous data fusion for enterprise data asset valuation in public health policy context.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background studyHealth information, over the years, has been regarded as one of the crucial assets in the landscape of health on the grounds of the myriads of benefits derived from it. It plays a major role in policy planning and implementation, quality improvement, clinical decision-making, care continuity, disease surveillance, etc., making it an integral part of healthcare delivery. This substantiates the pressing need for an appropriate information governance (IG) system, ensuring proper data stewardship, measures to ensure data quality and that preserving the privacy and confidentiality of patient data are in place. As part of conscious efforts to improve health information governance, this study examines the entire information governance structure of healthcare facilities used as study areas, taking into account the effectiveness of data stewardship, data quality management and compliance with regulatory requirements. METHODOLOGY: Employing a cross-sectional study design, data was collected from 432 healthcare professionals emanating from Cape Coast Teaching Hospital (CCTH), Eastern Regional Hospital Koforidua (ERHK) and Ledzokuku-Krowor Municipal Assembly (LEKMA) Hospital, all in Ghana. A semi-structured questionnaire, demarcated into five (5) parts, was used to collect the data. Closed-ended questions were analyzed with Stata 15.0 involving frequencies, percentages, means, standard deviation, standard errors and confident intervals. A chi-square test of independence was deployed to ascertain relationships between variables. Open-ended questions were coded and analyzed with Qualitative Data Analysis Miner 6.0, deploying inductive thematic analysis.
resultsThe level of understanding of data stewardship (2.87/4.0), familiarity with concepts of data quality (2.73/5.0) and ethical considerations and privacy (3.13/5.0) when dealing with patient health data were found to be varied among the professionals, overall rated as moderate and affirming the need for improvement. The level of knowledge and understanding on these pertinent areas were highly influenced by type of profession (p < 0.001; p = 0.031 and, p < 0.001) respectively and been indicative that some type of health workers is much concerned about data stewardship and health information governance than others. Various methods and efforts were in place to ensure the quality of data; however, hampering these attempts included factors such as poor data collection methods, lack of resources, inadequate competency and some behavioral factors. In addition to these factors is the low level of training on data stewardship (1.86/4.0), which heavily leads to skewness in knowledge. The majority of healthcare professionals were familiar with and advocated for adherence to regulatory requirements such as HIPAA (33.7%), GDPR (21.3%) and HITECH Act (14.4%), in making data governance much robust. Efforts were also identified in ensuring privacy and confidentiality during the storage, processing and transmission of patient data mostly by deploying methods such as authentication (58.9%), use of secured computers and software (71.2%) and using secure electronic platforms (66.0%) respectively indicating a keen attention for data stewardship and governance. About 70% of healthcare professionals attested to the regular conduct of monthly compliance audits, however, the rate of training on data stewardship was discovered to be very low (1.86/4.0).
conclusionThere is an existence of clear policies and procedures to guide data stewardship to enhance overall information governance, however, healthcare professionals' level of knowledge on subjects of information governance ought to be enhanced. There is a need to intensify training sessions on data quality, and regulatory requirements for health information governance to mitigate the gaps in knowledge among professionals.
Indexed as
Identifiers
What OpenQuestion holds
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.