Is the time right for direct entry into a career in health and biomedical informatics?
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Career Choice↗
Biomedical subjects
Simon de Lusignan
Publications and source records attributed to Simon de Lusignan.
The Primary Care Electronic Library (PCEL) five years on: open source evaluation of usage.
BACKGROUND: The Primary Care Electronic Library (PCEL) is a collection of indexed and abstracted internet resources. PCEL contains a directory of quality-assured internet material with associated search facilities. PCEL has been indexed, using metadata and established taxonomies. Site development requires an understanding of usage; this paper reports the use of open source tools to evaluate usage. This evaluation was conducted during a six-month period of development of PCEL. OBJECTIVE: To use open source to evaluate changes in usage of an electronic library. METHOD: We defined data we needed for analysis; this included: page requests, visits, unique visitors, page requests per visit, geographical location of users, NHS users, chronological information about users and resources used. RESULTS: During the evaluation period, page requests increased from 3500 to 10,000; visits from 1250 to 2300; and unique visitors from 750 to 1500. Up to 83% of users come from the UK, 15% were NHS users. The page requests of NHS users are slowly increasing but not as fast as requests by other users in the UK. PCEL is primarily used Monday to Friday, 9 a.m. to 5 p.m. Monday is the busiest day with use lessening through the week. NHS users had a different list of top ten resources accessed than non-NHS users, with only four resources appearing in both. CONCLUSIONS: Open source tools provide useful data which can be used to evaluate online resources. Improving the functionality of PCEL has been associated with increased use.
Information Dissemination↗
A system of metadata to control the process of query, aggregating, cleaning and analysing large datasets of primary care data.
BACKGROUND: Metadata is data that describes other data or resources. It has a defined number of named elements that convey meaning. Medical data are complex to process. For example, in the Primary Care Data Quality (PCDQ) renal programme, we need to collect over 300 variables because there are so many possible causes of renal disease. These variables are not just single columns of data--all are extracted as code plus date, while others are code-date-value. Metadata has the potential to improve the reliability of processing large datasets. OBJECTIVE: To define unique and unambiguous metadata headings for clinical data and derived variables. METHOD: We defined the look-up tables we would use as a controlled vocabulary to name the core clinical concepts within the metadata. We added six other elements to describe data: (1) the study or audit name; (2) the query used to extract the data; (3) the data collection number; (4) the type of data, including specifying the units; (5) the repeat number (if the variable was extracted more than once); and (6) a processing suffix that defines how the data have been processed. RESULTS: The metadata system has enabled the development of a query library and an analysis syntax library that make data processing and analysis more efficient. Its stability means greater effort can be put into more complex data processing, and some semiautomation of processes. However, the system has had implementation problems. It has been particularly hard to stop clinicians using multiple synonyms for the same variable. CONCLUSIONS: The PCDQ metadata system provides an auditable method of data processing. It is a method that should improve the reliability, validity and efficiency of processing routinely collected clinical data. This paper sets out to demystify our data processing method and makes the PCDQ metadata system available to clinicians and data processors who might wish to adopt it.
Electronic Data Processing↗
Using feedback to raise the quality of primary care computer data: a literature review.
BACKGROUND: Primary care is recognised as a medical specialty and its unique information needs justify the existence of its own health informatics sub-specialty: primary care informatics (PCI). A challenge for PCI is how to raise the standard of computerised medical records so that meaningful conclusions can be drawn from them. In the UK the Primary Care Data Quality (PCDQ) programme has eight years experience of using feedback in an educational context to improve data quality. OBJECTIVE: This literature review set out to define the characteristics of a feedback process most likely to achieve change; the principles of which could be applied to PCDQ or to other data quality initiatives. METHOD: A literature review of the major medical bibliographical databases, and the websites and working groups of the international medical informatics associations. RESULTS: There are generalisable lessons for primary care derived from the literature about implementing best evidence, feedback and the theory of diffusion of innovation. The principles identified are: (1) Engage and support local innovators - i.e. those most likely to adopt change, demonstrate the evidence-base for the intervention and the form of feedback most acceptable to them (2) Model the clinical context in which quality improvement is required; (3) Develop an understanding of the health system, its culture and management system; and, (4) Identify and address technical issues relating to computer use and coding. CONCLUSIONS: Feedback is most effective when: clinically relevant, educationally orientated, given by peers, and sensitive to the socio-technical context.
Feedback↗
Ensuring the Quality of Aggregated General Practice Data: Lessons from the Primary Care Data Quality Programme (PCDQ).
BACKGROUND: There are large numbers of schemes that collect and aggregate data from primary care computer systems into large databases. These data are then used for market and academic research. How the data is aggregated, cleaned and processed is usually opaque. Making the method transparent allows researchers to compare methods, and users of the output to better understand the strengths and weaknesses of the data.Objectives To define the stages of the process of aggregating, processing and cleaning clinical data from multiple data sources. METHODS: Identify errors in design, collection, staging, integration and analysis. RESULTS: An eight step process defined: (1) Design (2) DATA: entry, (3) Extraction, (4) Migration, (5) Integration, (6) Cleaning, (7) Processing, and (8) Analysis. CONCLUSIONS: This eight step method provides a taxonomy to enable researchers to compare their methods of data process and aggregation.
Computer Systems↗
Foundations of a healthcare knowledge management application system.
Much of the knowledge management (KM) literature suggests that organizations should adopt either a "personalization" or "codification" strategy and that to mix the two is unwise. Two European schools have come to the conclusion that a broad strategy is needed. Its key conceptual elements are in three dimensions: the type (explicit - tacit), focus (information - learning) and organization (digital - social) of knowledge. Without this broad approach it is impossible to reconcile the wish to provide (codified) evidence-based solutions to populations at the same time as personalized care for individuals.
Hospital Information Systems↗
Preventing stroke in people with atrial fibrillation: a cross-sectional study.
BACKGROUND: The annual stroke rate in atrial fibrillation is around 5 per cent with increased risk in those with hypertension, diabetes, left ventricular dysfunction and other cardiovascular risk factors. This study set out to identify the patients with atrial fibrillation and modifiable risk factors for stroke. METHOD: Analysis of practice computer data taken from eight general practices (81 811 patients) in the south of England. 944 patients with a diagnosis of atrial fibrillation, of whom 782 (82.8 percent) were aged 65 years and over. RESULTS: The age standardised prevalence of diagnosed atrial fibrillation was 1.23 per cent (1.28 percent for men and 1.18 percent for women). It was much more prevalent in the older population, 8.28 percent and 6.66 percent for males and females over 65, respectively. Cardiovascular co-morbidities were more frequent with increasing age. Blood pressure (BP) was recorded in over 95 per cent of patients with atrial fibrillation though there was scope for improving control; 25 per cent of men and 31 per cent women had a BP over 150/90. Inconsistent recording of ECG and echocardiography made it hard to identify patients with left ventricular dysfunction. Forty six percent of men and 37 percent of women were either being prescribed Warfarin, or had contraindications to its use; of those on Warfarin 75.9 percent have an international normalized ratio in range. Forty four per cent were treated with aspirin. People at high risk of stroke were no more likely to be treated with Warfarin or aspirin than those at moderate risk. CONCLUSIONS: The rate of use of Warfarin remains low, and there is scope for better recording and management of risk factors particularly BP.
Adult↗
General practitioners believe that hypnotherapy could be a useful treatment for irritable bowel syndrome in primary care.
BACKGROUND: Irritable bowel syndrome is a common condition in general practice. It occurs in 10 to 20% of the population, but less than half seek medical assistance with the complaint. METHODS: A questionnaire was sent to the 406 GPs listed on the West Sussex Health Authority Medical List to investigate their views of this condition and whether they felt hypnotherapy had a place in its management RESULTS: 38% of general practitioners responded. The achieved sample shared the characteristics of target sample. Nearly half thought that irritable bowel syndrome (IBS) was a "nervous complaint" and used a combination of "the placebo effect of personal care," therapeutic, and dietary advice. There is considerable divergence in the perceived effectiveness of current approaches. Over 70% thought that hypnotherapy may have a role in the management of patients with IBS; though the majority (68%) felt that this should not be offered by general practitioners. 84% felt that this should be offered by qualified hypnotherapist, with 40% feeling that this should be offered outside the health service. CONCLUSIONS: General practitioners vary in their perceptions of what constitutes effective therapy in IBS. They are willing to consider referral to a qualified hypnotherapist.
Adult↗
Community nursing needs more silver surfers: a questionnaire survey of primary care nurses' use of information technology.
BACKGROUND: In the UK the health service is investing more than ever before in information technology (IT) and primary care nurses will have to work with computers. Information about patients will be almost exclusively held in electronic patient records; and much of the information about best practice is most readily accessible via computer terminals. OBJECTIVE: To examine the influence of age and nursing profession on the level of computer use. METHODS: A questionnaire was developed to examine: access, training received, confidence and use of IT. The survey was carried out in a Sussex Primary Care Trust, in the UK. RESULTS: The questionnaire was sent to 109 nurses with a 64% response rate. Most primary care nurses (89%) use their computer regularly at work: 100% of practice nurses daily, compared with 60% of district nurses and 59% of health visitors (p < 0.01). Access to IT was not significantly different between different age groups; but 91% of practice nurses had their own computer while many district nurses and health visitors had to share (p < 0.01). Nurses over 50 had received more training that their younger colleagues (p < 0.01); yet despite this, they lacked confidence and used computers less (p < 0.001). 96% of practice nurses were confident at in using computerised medical records, compared with 53% of district nurses and 44% of health visitors (p < 0.01.) One-to-one training and workshops were the preferred formats for training, with Internet based learning and printed manuals the least popular (p < 0.001). CONCLUSIONS: Using computers in the surgery has become the norm for primary care nurses. However, nurses over 50, working out in the community, lack the confidence and skill of their younger and practice based colleagues.
Journal Article↗
An educational intervention to improve data recording in the management of ischaemic heart disease in primary care.
BACKGROUND: Gaps in computerized medical records and a lack of a systematic approach to data recording make progress towards achieving quality standards in primary care difficult to demonstrate. The aim of this study was to examine the effect of an educational intervention on data quality in primary care. METHODS: A before-and-after study of key data quality measures was carried out in 87 general practices in eight primary care organizations in England in phase 1 and 84 general practices in phase 2. The subjects were 19,470 patients with ischaemic heart disease in phase 1 and 19,784 patients in phase 2. The main outcome measures were improvement in the completeness and quality of the computerized medical record. Anonymized data were extracted from clinical information systems and processed to produce comparative information on each practice. Data quality workshops were arranged, in which reflection can take place, backed up by summary statistics. Practice visits provided training and personalized feedback of patients needing intervention. RESULTS: In the patients with heart disease, nearly 16,000 new clinical entries were made in the key improvement areas. The percentage of patients advised to quit smoking increased by 49.3 per cent, from 23.6 per cent to 61.9 per cent. There were also significant improvements in many other aspects of management. CONCLUSION: Focused interventions that provide targeted and relevant clinical information can be implemented in primary care. Such interventions can lead to a rise in data quality in primary care, but their effectiveness needs to be further tested in more rigorous research settings such as randomized controlled trials.
Ambulatory Care Information Systems↗
Problems with primary care data quality: osteoporosis as an exemplar.
OBJECTIVE: To report problems implementing a data quality programme in osteoporosis. DESIGN: Analysis of data extracted using Morbidity Information Query and Export Syntax (MIQUEST) from participating general practices' systems and recommendations of practitioners who attended an action research workshop. SETTING: Computerised general practices using different Read code versions to record structured data. PARTICIPANTS: 78 practices predominantly from London and the south east, with representation from north east, north west and south west England. MAIN OUTCOME MEASURES: Patients at risk can be represented in many ways within structured data. Although fracture data exists, it is unclear which are fragility fractures. T-scores, the gold standard for measuring bone density, cannot be extracted using the UK's standard data extraction tool, MIQUEST; instead manual searches had to be implemented. There is a hundredfold variation in data recording levels between practices. Therapy is more frequently recorded than diagnosis. A multidisciplinary forum of experienced practitioners proposed that a limited list of codes should be used. CONCLUSIONS: There is variability in inter-practice data quality. Some clinically important codes are lacking, and there are multiple ways that the same clinical concept can be represented. Different practice computer systems have different versions of Read code, making some data incompatible. Manual searching is still required to find data. Clinicians with an understanding of what data are clinically relevant need to have a stronger voice in the production of codes, and in the creation of recommended lists.
Accidental Falls↗
Comprehensive computerised primary care records are an essential component of any national health information strategy: report from an international consensus conference.
In many countries, primary care informatics has developed to the point that it is recognised as an important enabler of quality improvement; this has not occurred to date in the United States. With this conference, we aimed to build an international consensus as to whether primary care has unique characteristics that require an informatics subspecialty; and, if so, to establish the role of primary care informatics in improving patient care, and to enable its recognition in the national strategy.The conference was organised by the primary care informatics working groups of AMIA, EFMI, IMIA and Wonca and took place at Medinfo 2004 in San Francisco. It consisted of two plenary lectures, two small-group work sessions and a panel discussion to summarise the day. It was attended by an international audience of 53 health informaticians, mostly working in primary care. There was consensus among the participants that primary care has many unique characteristics that justify the existence of an informatics subspecialty: primary care informatics (PCI). The conference identified principles and practical examples of: (1) the effective deployment of information technology to underpin the provision of records, communication and access to information; (2) the need to harness the extensive knowledge base about the practice of PCI; and (3) the contribution of the experimental work and theory that underpins the science of PCI. These principles and examples of their practical application were largely derived from the extensive knowledge base which has been built up in countries that have developed PCI over the last one to two decades.
Health Policy↗
Nurses and IT: a survey of use among community clinical staff.
A survey investigated the use of information technology among community nurses and other staff in one primary care trust. Provision of IT was poor across all the staff studied, with health visitors and community nurses lagging slightly behind others. The reasons for the low levels of use need further research so that barriers to using IT can be overcome.
Ambulatory Care Information Systems↗
Lessons from the implementation of a near patient anticoagulant monitoring service in primary care.
OBJECTIVE: To evaluate the implementation of a primary care, nurse-led, near patient anticoagulant monitoring service. DESIGN: Action research workshops, supported by questionnaires and clinical audit, to define the strengths and weaknesses of the service and the effectiveness of the computerised decision support system used to set the dosage of anticoagulant and time interval to the next appointment. SETTING: 13 general practices that implemented anticoagulant monitoring in a primary care organisation in south east England. PARTICIPANTS: 18 practice nurses, 72% of whom had over 20 years' clinical experience; the university-based investigators and managers from the primary care organisation. MAIN OUTCOME MEASURE: The nurses felt that the patients preferred the practice-based service, finding it more personal and accessible. However, circumstances arose where the nurse's intuition had to override the software's advice. The nurses found it stressful when they were unclear whether their decision making represented acceptable variation or dangerous practice. An audit tool was developed to measure the extent to which there was variation from the software's recommendation, and patterns of variation emerged. Most evident was that nurses responded to uncertainty by practising cautiously, shortening the interval until the next visit and slightly reducing the recommended dose of warfarin. CONCLUSIONS: The group, by sharing their experiences through a structured series of workshops, developed an understanding of when it might be appropriate to vary from the decision support software's recommendations and how this could be audited. The technological solution modelled on hospital practice proved hard to implement in primary care.
Anticoagulants↗
An eight-step method for assessing diagnostic data quality in practice: chronic obstructive pulmonary disease as an exemplar.
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is an important cause of mortality and morbidity. Its management is shifting from the secondary to the primary care setting. The quality of data is known to vary between practices, and individual practices need to be able to assess their data quality. OBJECTIVES: To measure the quality of diagnostic data in COPD. SUBJECTS: 10 975 patients registered with a computerised general practice in the south of England, and 190 patients likely to have COPD. METHODS: An eight-step method was developed: (1) research the expected prevalence of the diagnosis and define audit criteria; (2) find out how the diagnosis might be coded--look at the terminology and the codes presented by the computer interface; (3) examine the characteristics of the practice population; (4) calculate the prevalence and infer its reliability; (5) investigate the completeness; (6) accuracy; (7) currency and consistency; and (8) calculate sensitivity and positive predictive value of the data. RESULTS: The prevalence of COPD in the literature ranges between 3% and 10%. The coding for bronchitis and COPD is complex and it is easy to select an incorrect code. The test population is younger but of similar social class to the national average. The prevalence of COPD in this study was 1.3%. The data were incomplete and some were inaccurate; patients with COPD had to be identified from additional searches. The sensitivity of the use of the diagnostic code was 79%, and the positive predictive value 75.3%. CONCLUSIONS: The method provides a tool to help practices and localities assess their diagnostic data quality.
Adolescent↗
The feasibility of using pattern recognition software to measure the influence of computer use on the consultation.
BACKGROUND: A key feature of a good general practice consultation is that it is patient-centred. A number of verbal and non-verbal behaviours have been identified as important to establish a good relationship with the patient. However, the use of the computer detracts the doctor's attention away from the patient, compromising these essential elements of the consultation. Current methods to assess the consultation and the influence of the computer on them are time consuming and subjective. If it were possible to measure these quantitatively, it could provide the basis for the first truly objective way of studying the influence of the computer on the consultation. The aim was to assess whether pattern recognition software could be used to measure the influence and pattern of computer use in the consultation. If this proved possible it would provide, for the first time, an objective quantitative measure of computer use and a measure of the attention and responsiveness of the general practitioner towards the patient. METHODS: A feasibility study using pattern recognition software to analyse a consultation was conducted. A web camera, linked to a data-gathering node was used to film a simulated consultation in a standard office. Members of the research team enacted the role of the doctor and the patient, using pattern recognition software to try and capture patient-centred, non-verbal behaviour. As this was a feasibility study detailed results of the analysis are not presented. RESULTS: It was revealed that pattern recognition software could be used to analyse certain aspects of a simulated consultation. For example, trigger lines enabled the number of times the clinician's hand covered the keyboard to be counted and wrapping recorded the number of times the clinician nodded his head. It was also possible to measure time sequences and whether the movement was brief or lingering. CONCLUSION: Pattern recognition software enables movements associated with patient-centredness to be recorded. Pattern recognition software has the potential to provide an objective, quantitative measure of the influence of the computer on the consultation.
Computers↗
What is primary care informatics?
Primary care informatics is an emerging academic discipline that remains undefined. The unique nature of primary care necessitates the development of its own informatics discipline. A definition of primary care informatics is proposed, which encompasses the distinctive nature of primary care. The core concepts and theory that should underpin it are described. Primary care informatics is defined as a science and as a subset of health informatics. The proposed definition is intended to focus the development of a generalizable core theory for this informatics subspecialty.
Decision Making, Organizational↗
Commentary: Improve the quality of the consultation.
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Humans↗