Clinical information systems in the National Health Service do not need to conform to any explicit usability requirements. Poor usability can increase the mental workload experienced by clinicians and cause fatigue, increase error rates and impact the overall patient safety. Mental workload can be used as a measure of usability. To assess the subjective cognitive workload experienced by general practitioners (GPs) with their systems. To raise awareness of the importance of usability in system design among users, designers, developers and policymakers. We used a modified version of the NASA Task Load Index, adapted for web. We developed a set of common clinical scenarios and computer tasks on an online survey. We emailed the study link to 199 clinical commissioning groups and 1,646 GP practices in England. Sixty-seven responders completed the survey. The respondents had spent an average of 17 years in general practice, had experience of using a mean of 1.5 GP computer systems and had used their current system for a mean time of 6.7 years. The mental workload score was not different among systems. There were significant differences among the task scores, but these differences were not specific to particular systems. The overall score and task scores were related to the length of experience with their present system. Four tasks imposed a higher mental workload on GPs: 'repeat prescribing', 'find episode', 'drug management' and 'overview records'. Further usability studies on GP systems should focus on these tasks. Users, policymakers, designers and developers should remain aware of the importance of usability in system design.What does this study add?• Current GP systems in England do not need to conform to explicit usability requirements. Poor usability can increase the mental workload of clinicians and lead to errors.• Some clinical computer tasks incur more cognitive workload than others and should be considered carefully during the design of a system.• GPs did not report overall very high levels of subjective cognitive workload when undertaking common clinical tasks with their systems.• Further usability studies on GP systems should focus on the tasks incurring higher cognitive workload.• Users, policymakers, and designers and developers should remain aware of the importance of usability in system design.

With growing sophistication of eHealth platforms, medical information is increasingly shared across patients, health care providers, institutions and across borders. This implies more stringent demands on the quality of data entry at the point-of-care. Non-native English-speaking general practitioners (GPs) experience difficulties in interacting with international classification systems and nomenclatures to facilitate the secondary use of their data and to ensure semantic interoperability. To identify words and phrases pertaining to the heart failure domain and to explore the difficulties in mapping to corresponding concepts in ICPC-2, ICD-10, SNOMED-CT and UMLS. The medical concepts in a Belgian guideline for GPs in its French version were extracted manually and coded first in ICPC-2, then ICD-10 by a physician, an expert in classification systems. In addition, mappings were sought with SNOMED-CT and UMLS concepts, using the UMLS SNOMED-CT browser. We identified 143 words and phrases, of which 128 referred to a single concept (1-to-1 mapping), while 15 referred to two or more concepts (1-to-n mapping to ICPC rubrics or to the other nomenclatures). In the guideline, words or phrases were often too general for specific mapping to a code or term. Marked discrepancy between semantic tags and types was found. This article shows the variability of the various international classifications and nomenclatures, the need for structured guidelines with more attention to precise wording and the need for classification expertise embedded in sophisticated terminological resources. End users need support to perform their clinical work in their own language, while still assuring standardised and semantic interoperable medical registration. Collaboration between computational linguists, knowledge engineers, health informaticians and domain experts is needed.

The purpose of this paper is to describe the use of video-based observation research methods in primary care environment and highlight important methodological considerations and provide practical guidance for primary care and human factors researchers conducting video studies to understand patient-clinician interaction in primary care settings. We reviewed studies in the literature which used video methods in health care research, and we also used our own experience based on the video studies we conducted in primary care settings. This paper highlighted the benefits of using video techniques, such as multi-channel recording and video coding, and compared "unmanned" video recording with the traditional observation method in primary care research. We proposed a list that can be followed step by step to conduct an effective video study in a primary care setting for a given problem. This paper also described obstacles, researchers should anticipate when using video recording methods in future studies. With the new technological improvements, video-based observation research is becoming a promising method in primary care and HFE research. Video recording has been under-utilised as a data collection tool because of confidentiality and privacy issues. However, it has many benefits as opposed to traditional observations, and recent studies using video recording methods have introduced new research areas and approaches.

Although the presence of an electronic health record (EHR) alone does not ensure high quality, efficient care, few studies have focused on the work of those charged with optimising use of existing EHR functionality. To examine the approaches used and challenges perceived by analysts supporting the optimisation of primary care teams' EHR use at a large U.S. academic health care system. A qualitative study was conducted. Optimisation analysts and their supervisor were interviewed and data were analysed for themes. Analysts needed to reconcile the tension created by organisational mandates focused on the standardisation of EHR processes with the primary care teams' demand for EHR customisation. They gained an understanding of health information technology (HIT) leadership's and primary care team's goals through attending meetings, reading meeting minutes and visiting with clinical teams. Within what was organisationally possible, EHR education could then be tailored to fit team needs. Major challenges were related to organisational attempts to standardise EHR use despite varied clinic contexts, personnel readiness and technical issues with the EHR platform. Forcing standardisation upon clinical needs that current EHR functionality could not satisfy was difficult. Dedicated optimisation analysts can add value to health systems through playing a mediating role between HIT leadership and care teams. Our findings imply that EHR optimisation should be performed with an in-depth understanding of the workflow, cognitive and interactional activities in primary care.

Although the collection of patient ethnicity data is a requirement of publicly funded healthcare providers in the UK, recording of ethnicity is sub-optimal for reasons that remain poorly understood. We sought to understand enablers and barriers to the collection and utilisation of ethnicity data within electronic health records, how these practices have developed and what benefit this information provides to different stakeholder groups. We undertook an in-depth, qualitative case study drawing on interviews and documents obtained from participants working as academics, managers and administrators within the UK. Information regarding patient ethnicity was collected and coded as administrative patient data, and/or in narrative form within clinical records. We identified disparities in the classification of ethnicity, approaches to coding and levels of completeness due to differing local, regional and national policies and processes. Most participants could not identify any clinical value of ethnicity information and many did not know if and when data were shared between services or used to support quality of care and research. Findings highlighted substantial variations in data classification, and practical challenges in data collection and usage that undermine the integrity of data collected. Future work needs to focus on explaining the uses of these data to frontline clinicians, identifying resources that can support busy professionals to collect standardised data and then, once collected, maximising the utility of these data.

Many young people with chronic ill health use technology for self-care activities, but little is known about the use of telehealth amongst those with spina bifida. The limited availability of specialist continence nurses in primary care settings, for this client group in the UK, exacerbates their reliance on parents or carers. 1. Exploring the way in which home-based and technology-enabled clinical interventions affect young people's engagement in continence self-care. 2. Articulating the way in which telehealth impacts on nursing practice and the conduct of remote clinical encounters. A virtual nurse-led clinic was established to support a small cohort of service users and their parents from home. Data from participants were collected and analysed alongside a narrative record of a reflective diary, used by the continence specialist nurse. Participants reported increased level of self-confidence, which was attributed to interacting remotely with the specialist nurse. The virtual clinic assisted users to attain some self-care goals as well as assert their role as partners in care planning. The specialist nurse gained new valuable skills in mastering telehealth technology and managing remote clinical provision. Using Skype™ to support young people with complex needs is an effective intervention to support continence care at home. Dedicated technical support during the initial set-up phase and on-going clinical mentorship are needed to ensure that telehealth is successfully embedded within health care practice.

In this issue we include a range of important papers that contribute across the domains of the chronic care model (CCM). The chronic care model was described in Bodenheimer et al. in the second of two seminal papers back in 2002; they describe what should be the components of a health system that is better adapted to manage chronic disease.

There is no standard method of publishing the code ranges in research using routine data. We report how code selection affects the reported prevalence and precision of results. We compared code ranges used to report the impact of pay-for-performance (P4P), with those specified in the P4P scheme, and those used by our informatics team to identify cases. We estimated the positive predictive values (PPV) of people with chronic conditions who were included in the study population, and compared the prevalence and blood pressure (BP) of people with hypertension (HT). Routinely collected primary care data from the quality improvement in chronic kidney disease (QICKD-ISRCTN56023731) trial. The case study population represented roughly 85% of those in the HT P4P group (PPV = 0.842; 95%CI = 0.840-0.844; p < 0.001). We also found differences in the prevalence of stroke (PPV = 0.694; 95%CI = 0.687- 0.700) and coronary heart disease (PPV = 0.166; 95%CI = 0.162-0.170), where the paper restricted itself to myocardial infarction codes. We found that the long-term cardiovascular conditions and codes selected for these conditions were inconsistent with those in P4P or the QICKD trial. The prevalence of HT based on the case study codes was 10.3%, compared with 11.8% using the P4P codes; the mean BP was 138.3 mmHg (standard deviation (SD) 15.84 mmHg)/79.4 mmHg (SD 10.3 mmHg) and 137.3 mmHg (SD 15.31)/79.1 mmHg (SD 9.93 mmHg) for the case study and P4P populations, respectively (p < 0.001). The case study lacked precision, and excluded cases had a lower BP. Publishing code ranges made this comparison possible and should be mandated for publications based on routine data.

The protection of personal information privacy has become one of the most pressing security concerns for record keepers: this will become more onerous with the introduction of the European General Data Protection Regulation (GDPR) in mid-2014. Many institutions, both large and small, have yet to implement the essential infrastructure for data privacy protection and patient consent and control when accessing and sharing data; even more have failed to instil a privacy and security awareness mindset and culture amongst their staff. Increased regulation, together with better compliance monitoring, has led to the imposition of increasingly significant monetary penalties for failure to protect privacy: these too are set to become more onerous under the GDPR, increasing to a maximum of 2% of annual turnover. There is growing pressure in clinical environments to deliver shared patient care and to support this with integrated information. This demands that more information passes between institutions and care providers without breaching patient privacy or autonomy. This can be achieved with relatively minor enhancements of existing infrastructures and does not require extensive investment in inter-operating electronic records: indeed such investments to date have been shown not to materially improve data sharing. REQUIREMENTS FOR PRIVACY: There is an ethical duty as well as a legal obligation on the part of care providers (and record keepers) to keep patient information confidential and to share it only with the authorisation of the patient. To achieve this information storage and retrieval, communication systems must be appropriately configured. There are many components of this, which are discussed in this paper. Patients may consult clinicians anywhere and at any time: therefore, their data must be available for recipient-driven retrieval (i.e. like the World Wide Web) under patient control and kept private: a method for delivering this is outlined.