21 research outputs found

    Mobilising Clinical Practice Data to Improve Multidisciplinary Oncology Care

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    As cancer incidence grows, healthcare services are increasingly pressured to provide timely, efficient, evidence-based care. The use of quality indicators are essential to identify and address variations in care delivery and patient outcomes. This thesis aims to inform best-practice quality measurement, feedback, and improvement utilising routinely collected data in cancer care. A systematic review of electronic medical record enabled measurement feedback systems found 12 of 14 studies reported mostly positive outcomes, but were of low-quality and lacking implementation context to replicate findings. A qualitative study identified significant consensus among key informant interviews on factors influencing success of data use and measurement feedback systems. A common theme between the review and interviews was the importance of clinical relevance and engagement. The findings were applied to a case study in colorectal cancer (CRC), including a systematic review and modified Delphi to identify clinically relevant quality indicators and a quantitative study to test the feasibility of the identified indicators against a population-based linked dataset of clinical practice data. The review identified 93 indicators in the literature and 56 CRC professionals prioritised 26 of those indicators. The feasibility study found that only six of the clinically prioritised indicators were feasible using available data in NSW. Feasible indicators were predominantly surgical, whereas indicators related to imaging, (neo)adjuvant therapy, and supportive care were lacking required data. As the use of data and value-based care continues to grow, this thesis provides direction for future data driven quality measurement for clinically meaningful quality improvement. System-wide coordination and standardised data capture, management, and operable exchange is required to transform data and quality indicators into actionable information to improve care

    A Systematic Review of Electronic Medical Record Driven Quality Measurement and Feedback Systems

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    Historically, quality measurement analyses utilize manual chart abstraction from data collected primarily for administrative purposes. These methods are resource-intensive, time-delayed, and often lack clinical relevance. Electronic Medical Records (EMRs) have increased data availability and opportunities for quality measurement. However, little is known about the effectiveness of Measurement Feedback Systems (MFSs) in utilizing EMR data. This study explores the effectiveness and characteristics of EMR-enabled MFSs in tertiary care. The search strategy guided by the PICO Framework was executed in four databases. Two reviewers screened abstracts and manuscripts. Data on effect and intervention characteristics were extracted using a tailored version of the Cochrane EPOC abstraction tool. Due to study heterogeneity, a narrative synthesis was conducted and reported according to PRISMA guidelines. A total of 14 unique MFS studies were extracted and synthesized, of which 12 had positive effects on outcomes. Findings indicate that quality measurement using EMR data is feasible in certain contexts and successful MFSs often incorporated electronic feedback methods, supported by clinical leadership and action planning. EMR-enabled MFSs have the potential to reduce the burden of data collection for quality measurement but further research is needed to evaluate EMR-enabled MFSs to translate and scale findings to broader implementation contexts

    Qualitative study of international key informants’ perspectives on the current and future state of healthcare quality measurement and feedback

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    Objectives The aim of this study is to explore the current and future state of quality measurement and feedback and identify factors influencing measurement feedback systems, including the barriers and enablers to their effective design, implementation, use and translation into quality improvement.Design This qualitative study used semistructured interviews with key informants. A deductive framework analysis was conducted to code transcripts to the Theoretical Domains Framework (TDF). An inductive analysis was used to produce subthemes and belief statements within each TDF domain.Setting All interviews were conducted by videoconference and audio-recorded.Participants Key informants were purposively sampled experts in quality measurement and feedback, including clinical (n=5), government (n=5), research (n=4) and health service leaders (n=3) from Australia (n=7), the USA (n=4), the UK (n=2), Canada (n=2) and Sweden (n=2).Results A total of 17 key informants participated in the study. The interview length ranged from 48 to 66 min. 12 theoretical domains populated by 38 subthemes were identified as relevant to measurement feedback systems. The most populous domains included environmental context and resources, memory, attention and decision-making, and social influences. The most populous subthemes included ‘quality improvement culture’, ‘financial and human resource support’ and ‘patient-centred measurement’. There were minimal conflicting beliefs outside of ‘data quality and completeness’. Conflicting beliefs in these subthemes were predominantly between government and clinical leaders.Conclusions Multiple factors were found to influence measurement feedback systems and future considerations are presented within this manuscript. The barriers and enablers that impact these systems are complex. While there are some clear modifiable factors in the design of measurement and feedback processes, influential factors described by key informants were largely socioenvironmental. Evidence-based design and implementation, coupled with a deeper understanding of the implementation context, may lead to enhanced quality measurement feedback systems and ultimately improved care delivery and patient outcomes

    Dissolving Microneedle Delivery of Nanoparticle Encapsulated Antigen Elicits Efficient Cross-Priming and Th1 Immune Responses by Murine Langerhans Cells

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    Dendritic cells (DCs) of the skin have an important role in skin-mediated immunity capable of promoting potent immune responses. We availed of polymeric dissolving microneedle (MN) arrays laden with nano-encapsulated antigen to specifically target skin DC networks. This modality of immunization represents an economic, efficient, and potent means of antigen delivery directly to skin DCs, which are inefficiently targeted by more conventional immunization routes. Following MN immunization, Langerhans cells (LCs) constituted the major skin DC subset capable of cross-priming antigen-specific CD8+ T cells ex vivo. Although all DC subsets were equally efficient in priming CD4+ T cells, LCs were largely responsible for orchestrating the differentiation of CD4+ IFN-γ- and IL-17-producing effectors. Importantly, depletion of LCs prior to immunization had a profound effect on CD8+ CTL responses in vivo, and vaccinated animals displayed reduced protective anti-tumor and viral immunity. Interestingly, this cross-priming bias was lost following MN immunization with soluble antigen, suggesting that processing and cross-presentation of nano-particulate antigen is favored by LCs. Therefore, these studies highlight the importance of LCs in skin immunization strategies and that targeting of nano-particulate immunogens through dissolvable polymeric MNs potentially provides a promising technological platform for improved vaccination strategies

    Education messages and strategies to inform the public, potential screening candidates and healthcare providers about lung cancer screening: A systematic review

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    International lung cancer screening (LCS) trials, using low-dose computed tomography, have demonstrated clinical effectiveness in reducing mortality from lung cancer. This systematic review aims to synthesise the key messages and strategies that could be successful in increasing awareness and knowledge of LCS, and ultimately increase uptake of screening. Studies were identified via relevant database searches up to January 2022. Two authors evaluated eligible studies, extracted and crosschecked data, and assessed quality. Results were synthesised narratively. Of 3205 titles identified, 116 full text articles were reviewed and 22 studies met the inclusion criteria. Twenty studies were conducted in the United States. While the study findings were heterogenous, key messages mentioned across multiple studies were about: provision of information on LCS and the recommendations for LCS (n = 8); benefits and harms of LCS (n = 6); cost of LCS and insurance coverage for participants (n = 6) and eligibility criteria (n = 5). To increase knowledge and awareness, evidence from awareness campaigns suggests that presenting information about eligibility and the benefits and harms of screening, may increase screening intention and uptake. Evidence from behavioural studies suggests that campaigns supporting engagement with platforms such as educational videos and digital awareness campaigns might be most effective. Group based learning appears to be most suited to increasing health professionals\u27 knowledge. This systematic review found a lack of consistent evidence to demonstrate which strategies are most effective for increasing participant healthcare professional and community awareness and education about LCS

    Clinical impact of data feedback at lung cancer multidisciplinary team meetings : a mixed methods study

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    Aim: Multidisciplinary team (MDT) meetings can facilitate optimal lung cancer care, yet details of structured data collection and feedback remain sparse. This study aimed to investigate data collection and the impact of feedback to lung cancer MDTs. Methods: A mixed-methods study using pre and post-test surveys, semistructured interviews, and observation to evaluate data collection and response to modeled data feedback in three Australian lung cancer MDTs at different locations and development stage (site A: outer metropolitan, established; site B, outer metropolitan, new; and site C, inner metropolitan, established). Results: MDT attendees (range 13-25) discussed 5-8 cases per meeting. All sites collected data prospectively (80% prepopulated) into local oncology medical information systems. The pretest survey had 17 respondents in total (88% clinicians). At sites A and C, 100% of respondents noted regular data audits, occasional at site B. Regular audit data included number of cases, stage, final diagnosis, and time to diagnosis and treatment. The post-test survey had 25 respondents in total, all clinicians. The majority (88-96%) of respondents found modeled data easy to interpret, relevant to clinical practice and the MDT, and welcomed future regular data presentations (as rated on a 5-point Likert scale mean weighted average 4.5 where > 4 demonstrates agreement). Semistructured interviews identified five major themes for MDTs: current practice, attitudes, enablers, barriers, and benefits for the MDT. Conclusions: MDT teams exhibited positive responses to modeled data feedback. Key characteristics of MDT data were identified and may assist with future team research and development

    Optimising implementation of telehealth in oncology : a systematic review examining barriers and enablers using the RE-AIM planning and evaluation framework

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    Telehealth facilitates access to cancer care for patients unable to attend in-person consultations, as in COVID-19. This systematic review used the reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) framework to evaluate telehealth implementation and examine enablers and barriers to optimal implementation in oncology. MEDLINE, PubMed, CINAHL, and the Cochrane Database of Systematic Reviews were searched between January 2011-June 2022. Eighty-two articles representing 73 studies were included. One study explicitly used the RE-AIM framework to guide study design, conduct, or reporting. Reach (44%) and implementation (38%) were most commonly reported, maintenance (5%) least commonly. Key telehealth implementation enablers included professional-led delivery, patient-centred approaches, and positive patient perceptions. Key barriers included patient discomfort with technology, limited supporting clinic infrastructure, and poor access to reliable internet connection and videoconferencing. While a patient-centred and professional-supported approach enables telehealth implementation, technology and infrastructure constraints need surmounting for sustained implementation beyond the COVID-19 pandemic
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