Health information management : journal of the Health Information Management Association of Australia最新文献

Background: The quality of data in electronic health records (EHRs) depends on adherence of clinicians to principles of diagnosis documentation.

Objective: A concept mapping (CM) approach was used to extract factors related to quality of clinicians' documentation that govern EHR data quality.

Method: Influential factors extracted from brainstorming sessions were sorted by individual participants, followed by a quantitative analysis using multidimensional scaling and cluster analysis to categorise sorted factors. Finally, a questionnaire was used to elicit the importance-feasibility of the extracted factors. Results were visualised by cluster maps and Go-Zone plots.

Result: Factors were classified into seven clusters: "knowledge about International Classification of Diseases and clinical coding," "need for facilitators and guidelines," "explaining the importance of the issue and defining responsibilities," "cooperation of other personnel," "codify legal requirements," "workload" and "clinical obstacles," as ranked by importance.

Conclusion: To enhance the quality of EHR data, a collaboration between physicians, nurses, managers and EHR developers is required. CM is an acceptable approach to meet this objective. Our findings highlight the significance of clinical coding knowledge, awareness about its importance and applicability and use of well-structured information systems. In combination, these three factors can have a strong positive impact on the quality of EHR data.

Implications: A list of solutions is provided for policymakers, and two interventions suggested, based on the findings of this study, including the adoption of EHRs that incorporate documentation guidelines. We further propose updated clinical training programs and a monitoring and feedback mechanism to facilitate the EHR documentation process.

Background: Clinical documentation is a fundamental component of patient care. The transition from paper based to electronic medical records/electronic health records has highlighted a number of issues associated with documentation practices including duplication. Developing new ways to document the care provided to patients and in turn, persuading clinicians to accept a change, must be supported by evidence that a change is required. In Australia, there has been a limited number of studies exploring the clinical documentation practices and beliefs of clinicians.

Objective: To gain an in-depth understanding of clinician documentation practices.

Method: A qualitative design using semi-structured interviews with clinicians (allied health professionals, doctors (physicians) and nurses) working in a tertiary-level hospital in South-East Queensland, Australia.

Results: Several themes emerged from the data: environmental factors, including departmental policy and systemic issues, and personal factors, including verification, clinical reasoning and experience influencing documentation practices.

Conclusion: Our study identified that the documentation practices of clinicians are complex, being driven by both environmental and systemic factors and personal factors. This in turn leads to duplication and some redundancy. The documentation burden of duplication could be reduced by changes in policy, supported by multidisciplinary documentation procedures and electronic systems aligned with clinician workflows, while retaining some flexible documentation practices. The documentation practices of individuals, when considered from the perspective of enhancing quality care, are considered legitimate and therefore will continue to form part of the health (medical) record regardless of the format.

Background: National implementation of electronic personal health record (ePHR) systems is of vital importance to governments worldwide because this type of technology promises to promote and enhance healthcare. Although there is widespread agreement as to the advantages of ePHRs, the level of awareness and acceptance of this technology among healthcare consumers has been low.

Objective: The aim of this study was to identify the factors that can influence the acceptance and use of an integrated ePHR system in Saudi Arabia.

Method: The unified theory of acceptance and use of technology model was extended in this study to include e-health literacy (e-HL) and tested using structural equation modelling. Data were collected via a questionnaire survey, resulting in 794 valid responses.

Results: The proposed model explained 56% of the variance in behavioural intention (BI) to use the integrated ePHR system. Findings also highlighted the significance of performance expectancy, effort expectancy, social influence (SI) and e-HL as determinants of Saudi healthcare consumers' intentions to accept and use the integrated ePHR system. Additionally, assessment of the research model moderators revealed that only gender had a moderating influence on the relationship between SI and BI. Finally, findings showed a low level of awareness among Saudi citizens about the national implementation of an integrated ePHR system, suggesting the need to promote a greater and more widespread awareness of the system and to demonstrate its usefulness.

Conclusion: Findings from this study can assist governments, policymakers and developers of health information technologies and systems by identifying important factors that may influence the diffusion and use of integrated ePHRs.

Background: Assessment processes applied within some health service accreditation programs have been criticised at times for being inaccurate, inconsistent or inefficient. Such criticism has inspired the development of innovative assessment methods.

Objective: The Australian Commission on Safety and Quality in Health Care considered the use of three such methods: short-notice or unannounced methods; patient journey or tracer methods; and attestation by governing bodies.

Method: A systematic search and synthesis of published peer-reviewed and grey literature associated with these methods.

Results and conclusion: The published literature demonstrates that the likely benefits of these three assessment methods warrant further evaluation, real-world trials and stakeholder consultation to determine the most appropriate models to introduce into national accreditation programs.

Implications: The subsequent introduction of models of short-notice assessments and attestation by governing bodies into the Australian Health Service Safety and Quality Accreditation Scheme in January 2019 demonstrates how the findings presented in this article influenced the national change in assessment practice, providing an example of evidence-informed accreditation development.

Background: The management of data on coronary artery disease (CAD) plays a significant role in controlling the disease and reducing the mortality of patients. The diseases registries facilitate the management of data.

Objective: This study aimed to identify the attributes of hospital-based CAD registries with a focus on key registry processes.

Method: In this systematic review, we searched for studies published between 2000 and 2019 in PubMed, Scopus, EMBASE and ISI Web of Knowledge. The search terms included coronary artery disease, registry and data management (MeSH terms) at November 2019. Data gathering was conducted using a data extraction form, and the content of selected studies was analysed with respect to key registry processes, including case finding, data gathering, data abstracting, data quality control, reporting and patient follow-up.

Results: A total of 17,604 studies were identified in the search, 55 of which were relevant studies that addressed the 21 registries and were selected for the analysis. Results showed that the most common resources for case finding included admission and discharge documents, physician's reports and screening results. Patient follow-up was mainly performed through direct visits or via telephone calls. The key attributes used for checking the data quality included data accuracy, completeness and definition.

Conclusion: CAD registries aim to facilitate the assessment of health services provided to patients. Putting the key registry processes in place is crucial for developing and implementing the CAD registry. The data quality control, as a CAD registry process, requires developing standard tools and applying appropriate data quality attributes.

Implications: The findings of the current study could lay the foundation for successful design and development of CAD registries based on the key registry processes for effective data management.

Background: Health information governance (IG) in Australian hospitals was hitherto unexplored.

Objectives: To determine hospitals' health IG status and maturity in Victoria, Australia, identify drivers and barriers affecting IG adoption, examine electronic health data breach response plan usage and assess employees' electronic data breach awareness.

Method: Mixed-methods descriptive study utilising an online survey of directors - clinical/health information services and chief health information managers (HIMs) in Victorian hospitals, ≥50 beds.

Results: Response rate: 42.9% (n = 36). Fifty percent (n = 17) of respondent-hospitals had an IG program. IG equally supported decision-making and risk identification and prevention. The greatest potential organisational damages from system disruption or failure were information loss (66.7%) and clinical risks (63.9%). HIMs in 15 (55.6%) hospitals had knowledge to monitor and detect electronic data breaches. Staff in 19 (70.4%) hospitals knew who to inform about a suspected breach. Most hospitals had mature health information-related IG practices, most (88.9%, n = 24) provided IG-related education, 77.8% (n = 21) regularly reviewed data breach response plans. The strongest IG drivers were privacy-security compliance and changes to data capture or documentation practices (82.8%, n = 24); the greatest barriers were implementation complexity (57.1%, n = 16) and cost (55.6%, n = 15).

Conclusion: These baseline Australian data show 50% of respondent-hospitals had no formal health IG program. Privacy-security compliance, and audits, needed improvement; however, most hospitals had well-developed medical record/health information IG-relevant schedules, policies and practices. HIMs, the professionals most engaged in IG, required upskilling in electronic data breach detection.

Background: Evidence-based interventions are necessary for planning and investing in health information systems (HIS) and for strengthening those systems to collect, manage, sort and analyse health data to support informed decision-making. However, evidence and guidance on HIS strengthening in low- and middle-income countries have been historically lacking.

Objective: This article describes the approach, methods, lessons learned and recommendations from 5 years of applying our learning agenda to strengthen the evidence base for effective HIS interventions.

Methods: The first step was to define key questions about characteristics, stages of progression, and factors and conditions of HIS performance progress. We established a team and larger advisory group to guide the implementation of activities to build the evidence base to answer questions. We strengthened learning networks to share information.

Results: The process of applying the learning agenda provided a unique opportunity to learn by doing, strategically collecting information about monitoring and evaluating HIS strengthening interventions and building a body of evidence. There are now models and tools to strengthen HIS, improved indicators and measures, country HIS profiles, documentation of interventions, a searchable database of HIS assessment tools and evidence generated through syntheses and evaluation results.

Conclusion: The systematic application of learning agenda processes and activities resulted in increased evidence, information, guidance and tools for HIS strengthening and a resource centre, making that information accessible and available globally.

Implications: We describe the inputs, processes and lessons learned, so that others interested in designing a successful learning agenda have access to evidence of how to do so.

Safe and reliable healthcare depends on access to health information that is accurate, valid, reliable, timely, relevant, legible and complete. National data collections are repositories of health and social care data and play a crucial role in healthcare planning and clinical decision-making. We describe the development of an evidence-informed multi-method quality improvement program aimed to improve the quality of health and social care data in Ireland. Specific components involved: development of guidance to support implementation of health information standards; review program to assess compliance with standards; and educating health information stakeholders about health data and information quality. Observations from implementation of the program indicate enhanced health information stakeholder awareness of, and increased adoption of information management standards. The methodology used in the review program has proved to be a robust approach to identify areas of good practice and opportunities for improvement in information management practices. There has been positive adoption of the program among organisations reviewed and acceptance of the proposed recommendations. Early indications are that this multi-method approach will drive improvements in information management practices, leading to an improvement in health and social care data quality in Ireland. Aspects of this approach may be adapted to meet the needs of other countries.