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Information specialists search resources to identify information to answer research questions. Typically, we investigate the questions, identify relevant sources of information that might answer those questions, search those sources and retrieve documents. We may also be involved in managing retrieved records and documents and sometimes we also select information from the records or documents that may be most relevant to the questions being asked. Sometimes information specialists produce summaries of the most relevant information.
Information specialists have been undertaking these tasks for decades and many textbooks and guidance documents are available to support them. New techniques are constantly developing which can help with information retrieval and it is important to assess and appreciate what they may offer. New text mining tools, which analyse the frequency and relationship of words in texts, are growing in number and availability. These tools may be particularly relevant and attractive to information specialists developing searches for systematic reviews since text mining can assist with developing searches for broad-based and hard to define topics. It can also provide opportunities to manage and process large volumes of records, which can be a challenge for some research questions.
The use of text mining is not yet standard practice in systematic review searching and indeed is not necessary for many non-complex topics. However, its potential is being recognised and explored and it has been subject to several recent scoping reviews in the health sector. In disciplines where systematic reviews are not yet a common method, an awareness of the potential value of text mining is likely to be similarly low. Outside of the systematic review context, information specialists should also find that text mining is useful for many tasks needing textual analysis, including assessing terminology in complex topics, for appreciating the concepts being covered within a specific literature and for undertaking a variety of citation analyses.
This chapter presents an overview of what text mining tools have to offer for all disciplines and their potential value to information specialists. Table 7.1 (pages 165-7) contains the names and website addresses of all the text mining tools referred to in this chapter.
PURPOSE: The aim of the NHS England Vanguards of new care models was to improve healthcare provision and integration through the coordination of services, seeking to deliver the Five Year Forward View. The purpose of this paper is to report on an extensive analysis of one of the Vanguard programmes, exploring whether the implemented integrated response service (IRS) based in Harrogate, England, resulted in any meaningful change in secondary healthcare activity.
DESIGN / METHODOLOGY / APPROACH: The authors used an interrupted time series framework applied to aggregate secondary care data, specifically emergency attendances for patients 65+, emergency bed days for all adults and non-elective admissions for 65+. Synthetic and geographic comparator data were employed to inform additional scenario analyses.
FINDINGS: The majority of the analyses conducted found no statistically significant effect of the IRS team in either direction, suggesting that there was no change in the metrics that could be separated from natural variation. The data correlated with the findings of a qualitative analysis and challenges faced in staffing the team towards the end of the analysis period and the eventual disbanding of the IRS.
RESEARCH LIMITATIONS / IMPLICATIONS: The analysis was partially hampered by data access challenges, limited to poorly specified aggregate secondary care data, and a poorly specified intervention. Furthermore, the follow-up period was limited by the disbanding of the service.
ORIGINALITY / VALUE: This analysis indicates that the Harrogate-based IRS team is unlikely to have delivered any sustained quantifiable impact on the intended secondary care outcomes. While this does not necessarily demonstrate a failure of the core principle behind the drive for integrated care, it is an important exploration of the challenges of evaluating such a service.
BACKGROUND: NHS community pharmacies provide effective smoking cessation services; however, there is scope for increasing throughput and improving quit rates. This trial examines whether the Smoking Treatment Optimisation in Pharmacies (STOP) intervention can improve smoker engagement to increase service throughput, retention and quitting.
METHODS: This study is a pragmatic, cluster randomised controlled trial in 60 pharmacies in England and Wales. All workers in intervention pharmacies are offered STOP training while control pharmacies provide usual care. The STOP intervention, based on behavioural and organisational theories, comprises educational sessions for staff and environmental prompts in the pharmacy. Intervention fidelity is assessed by actors visiting pharmacies posing as smokers. The primary outcome is throughput, defined as the number of smokers who join the programme, set a firm quit date and undergo at least one stop smoking treatment session, and is measured using routinely collected data. Secondary outcomes include retention and quit rates at 4 weeks and continuous abstinence at 6 months verified by salivary cotinine. Cost-effectiveness is estimated using quality-adjusted life years and the probability that the intervention is effective at different levels of willingness to pay is calculated.
DISCUSSION: The trial will generate evidence to inform the public health smoking cessation strategy in England and Wales, and may help to shape service commissioning decisions. The STOP intervention model may help inform the undertaking of a range of health behaviour change tasks in community pharmacies.
INTRODUCTION: Health technology assessment (HTA) aims to provide a transparent framework within which normative judgements can be applied for decision making. Such transparency enables the public to understand the rationale for decision making, but conflicts with companies being able to offer commercially sensitive discounts. We investigated how to balance these conflicting ideals.
METHODS: National Institute for Health and Care Excellence (NICE) submissions were reviewed for products with an approved, simple Patient Access Scheme (PAS) discount. The approach to censoring was noted (e.g. total cost and clinical outcomes redacted). Submissions were then assessed for transparency (i.e. whether the decision appeared justifiable given the available information) and confidentiality (i.e. whether the PAS discount could be 'back calculated').
RESULTS: One hundred and eighteen products have an approved commercial arrangement, of which 110 have simple PAS discounts considered within the NICE Single Technology Appraisal programme. A definitive incremental cost-effectiveness ratio was presented within final NICE guidance in only 20 appraisals. Documentation for seven appraisals allowed for the straightforward 'back calculation' of PAS discounts. Furthermore, a large amount of information was censored as academic-in-confidence and remains so many years later.
CONCLUSION: Appropriate redaction ensures discounts remain confidential, yet maintains the transparency of the HTA decisions made. Complete redaction does not allow for transparent, justifiable decision making. However, redacting 'enough' information to preclude direct estimation of discounts provides a means of maintaining both transparency and confidentiality. This study demonstrates a lack of consensus regarding presentation of results, and the importance of appropriate redaction.
OBJECTIVE: Congenital cytomegalovirus (cCMV) is the most common infectious cause of congenital disability. It can disrupt neurodevelopment, causing lifelong impairments including sensorineural hearing loss and developmental delay. This study aimed, for the first time, to estimate the annual economic burden of managing cCMV and its sequelae in the UK.
DESIGN: The study collated available secondary data to develop a static cost model.
SETTING: The model aimed to estimate costs of cCMV in the UK for the year 2016.
PATIENTS: Individuals of all ages with cCMV.
MAIN OUTCOME MEASURES: Direct (incurred by the public sector) and indirect (incurred personally or by society) costs associated with management of cCMV and its sequelae.
RESULTS: The model estimated that the total cost of cCMV to the UK in 2016 was £732 million (lower and upper estimates were between £495 and £942 million). Approximately 40% of the costs were directly incurred by the public sector, with the remaining 60% being indirect costs, including lost productivity. Long-term impairments caused by the virus had a higher financial burden than the acute management of cCMV.
CONCLUSIONS: The cost of cCMV is substantial, predominantly stemming from long-term impairments. Costs should be compared against investment in educational strategies and vaccine development programmes that aim to prevent virus transmission, as well as the value of introducing universal screening for cCMV to both increase detection of children who would benefit from treatment, and to build a more robust evidence base for future research.
BACKGROUND: Stroke is a significant burden in Saudi Arabia and the Saudi Ministry of Health's stroke committee has identified an urgent need to improve care.
AIM: The purpose of this study was to undertake a health-economic analysis to quantify the impact of developing stroke care in the country.
METHODS: An economic model was developed to assess the costs and clinical outcomes associated with an ischemic stroke care development program compared with current stroke care. Based on Saudi epidemiological data, cohorts of ischemic stroke patients enter the model each year for the first 10 years based on increasing incidence. Four treatment options were modeled including reperfusion and non-reperfusion treatments. The development scenario estimates the impact of gradually increasing uptake of more effective treatments over 10 years. Changes in the stroke care organization are considered along with resources required to increase capacity, allowing more patients to be admitted to stroke hospitals and access effective treatments.
RESULTS: The stroke care development program is associated with an increase in functionally independent patients and a decrease in disabling strokes compared with current stroke care. Additionally, the development program is associated with estimated cost savings of $602 million over 15 years ($255 million direct costs, $348 million indirect costs).
CONCLUSIONS: The model predicts that the stroke care development program is associated with improved patient outcomes and lower overall costs compared with the current stroke care program.
OBJECTIVES: Transferability of economic evaluations to low- and middle-income countries through adaptation of models is important; however, several methodological and practical challenges remain. Given its significant costs and the quality-of-life burden to patients, adjuvant treatment of early breast cancer was identified as a priority intervention by the South African National Department of Health. This study assessed the cost-effectiveness of docetaxel and paclitaxel-containing chemotherapy regimens (taxanes) compared with standard (non-taxane) treatments.
METHODS: A cost-utility analysis was undertaken based on a UK 6-health-state Markov model adapted for South Africa using the Mullins checklist. The analysis assumed a 35-year time horizon. The model was populated with clinical effectiveness data (hazard ratios, recurrence rates, and adverse events) using direct comparisons from clinical trials. Resource use patterns and unit costs for estimating cost parameters (drugs, diagnostics, consumables, personnel) were obtained from South Africa. Uncertainty was assessed using probabilistic and deterministic sensitivity analyses.
RESULTS: The incremental cost per patient for the docetaxel regimen compared with standard treatment was R6774. The incremental quality-adjusted life years (QALYs) were 0.24, generating an incremental cost-effectiveness ratio of R28430 per QALY. The cost of the paclitaxel regimen compared with standard treatment was estimated as -R578 and -R1512, producing an additional 0.03 and 0.025 QALYs, based on 2 trials. Paclitaxel, therefore, appears to be a dominant intervention. The base case results were robust to all sensitivity analyses.
CONCLUSIONS: Based on the adapted model, docetaxel and paclitaxel are predicted to be cost-effective as adjuvant treatment for early breast cancer in South Africa.
