Informatics in Primary Care (BCS, The Chartered Institute for IT)
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The John Bryden memorial lecture: improving health with the community health index and developments in record linkage
Dr. John Bryden was the executive officer of European Federation for Medical Informatics for a decade between 1998 and 2008. When he retired from active work within the federation, he was awarded an honorary fellowship. In one of his early papers from the 1960s, he described how some relatively novel machines called computers might replace the punched cards that were being used at the time. He saw, before many others, that computers could be used for the care of individual patients and even more so for groups of patients. He implemented a unique patient identifier (community health index) which has enabled Scotland to link electronic medical record data for clinical management of chronic disease deterministically. An example was the development of the Glasgow Coma Scale. One benefit of demonstrating significant value in projects such as this at an early stage of record linkage was that the governance framework for the use of data became relatively permissive. Another major success was diabetes care; it became possible to apply insights from the aggregate data to improve services and make them more efficient. Scotland has developed safe havens for data where not only the physical environment but also the people, mechanisms and projects are all subject to control to ensure safety and confidentiality. Similar moves are under way in Europe. TRANSFoRm (www.transformproject.eu) led by King’s college in London is mainly focused on primary care data. Excellence in medical informatics is possible as a result of the work of its pioneers, including John Bryden’s first paper suggesting that computers might be useful
Using the information value method in a geographic information system and remote sensing for malaria mapping: a case study from India
Background This paper explores the scope of malaria-susceptibility modelling to predict malaria occurrence in an area.Objective An attempt has been made in Varanasi district, India, to evaluate the status of malaria disease and to develop a model by which malaria-prone zones could be predicted using five classes of relative malaria susceptibility, i.e. very low, low, moderate, high and very high categories.The information value (Info Val) method was used to assess malaria occurrence and various time-were used as the independent variables. A geographical information system (GIS) is employed to investigate associations between such variables and distribution of different mosquitoes responsible for malaria transmission. Accurate prediction of risk depends on a number of variables, such as land use, NDVI, climatic factors, population, distance to health centres, ponds, streams and roads etc., all of which have an influence on malaria transmission or reporting. Climatic factors, particularly rainfall, temperature and relative humidity, are known to have a major influence on the biology of mosquitoes. To produce a malaria-susceptibility map using this method, weightings are calculated for various classes in each group. The groups are then superimposed to prepare a Malaria Susceptibility Index (MSI) map.Results We found that 3.87% of the malaria cases were found in areas with a low malaria-susceptibility level predicted from the model, whereas 39.86% and 26.29% of malaria cases were found in predicted high and very high susceptibility level areas, respectively.Conclusions Malaria susceptibility modelled using a GIS may have a role in predicting the risks of malaria and enable public health interventions to be better targeted
Privacy Protection in Personal Health Information and Shared Care Records
Background The protection of personal information privacy has become one of the most pressing security concerns for record keepers. Many institutions have yet to implement the essential infrastructure for data privacy protection and patient 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 failures to protect privacy. Objective 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, and communication systems must be appropriately configured. Patients may consult clinicians anywhere and at any time: therefore their data must be available for recipient-driven retrieval under patient control and kept private.
How people with diabetes integrate self-monitoring of blood glucose into their self-management strategies
Background The benefit of self-monitoring of blood glucose by patients has been questioned, and UK policy is generally not to support this, although it is identified that there may be unidentified subgroups of people who would benefit from being supported to self-monitor. The purpose of this paper is to explore the self-management approaches of people with diabetes, and how self-testing of blood glucose contributes to self-management strategies.Methods This qualitative study of patients’ experiences drew data from contributors to online discussion boards for people living with diabetes. The principles of qualitative content analysis were used on posts from a sample of four Internet discussion boards.Results Contributors described how they were using self-testing within their selfmanagement strategies. Most saw it as a way of actively maintaining control of their condition. The amount of testing carried varied over time; more testing was done in the early days, when people were still learning how to stay in control of their diabetes. Some people had experienced a lack of support for self-testing from healthcare professionals, or had been expected to change their self-management to fit national policy changes. This was seen as unhelpful, demotivating, stressful, and harmful to the doctor–patient relationship
Commentary: Effects of exam room EHR use on doctor-patient communication: a systematic literature review – triadic and other key terms may have identified additional literature
Kazmi’s systemic review concludes on the positive influence of the computer use on the biomedical aspect of the consultation interaction, and the adverse effect on the psychosocial dimension. It broaches concerns about the availability of high-quality studies focusing on the doctor–patient interactions. However, there are visible limitations associated with the search strategy employed, which indeed can be considered as a common challenge for reviews in this field of interaction research involving doctor, patient, and computer
Development of a web-based pharmaceutical care plan to facilitate collaboration between healthcare providers and patients
Background To facilitate collaboration between different healthcare providers and to exchange patient data we developed a paper-based tool, which also enabled to plan interventions and follow-up activities: the PCP. Interviews with participating healthcare providers concluded the PCP was a very useful tool to collect and share patient data. A disadvantage was the time spent to collect all information. We therefore developed our PCP into a web-based tool: the web-based PCP (W-PCP).Objectives Development of a W-PCP to (1) provide healthcare providers with information from pharmacist- and GP computer systems and (2) facilitate collaboration between healthcare providers and patients.Method The W-PCP was used in three research lines, two in primary care and one in a hospital setting. Outcomes measures were defined as satisfaction about efficiency and effectiveness during data sharing and documentation in providing care and conducting medication reviews using the W-PCP.First experiences concerning the use of W-PCP in a primary care setting were collected by a questionnaire and interviews with pharmacists and GPs using the W-PCP.Results A questionnaire was sent to 38 healthcare providers. 17 healthcare providers returned the questionnaire. The use of W-PCP resulted in positive experiences from participating healthcare providers. On the basis of experiences and requirements collected, the application will be further developed.Conclusions The W-PCP application can potentially support successful collaboration between different healthcare providers and patients, which is important for medication therapy management. With this application, a successful collaboration between different healthcare providers and patients could be achieved
Using video-based observation research methods in primary care health encounters to evaluate complex interactions
Objective 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.Methods 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.Results 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.Conclusion 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
Effective pseudonymisation and explicit statements of public interest to ensure the benefits of sharing health data for research, quality improvement and health service management outweigh the risks
This journal strongly supports the sharing of data to support research and quality improvement. However, this needs to be done in a way that ensures the benefits vastly outweigh the risks, and vitally using methods which are inspire both public and professional confidences – robust pseudonymisation is needed to achieve this. The case for using routine data for research has already been well made and probably also for quality improvement; however, clearer mechanisms are needed of how we test that the public interest is served. Ensuring that the public interest is served is essential if we are to maintain patients’ and public’s trust, especially in the English National Health Service where the realpolitik is that patients can opt out of data sharing.
Coding errors in an analysis of the impact of pay-for-performance on the care for long-term cardiovascular disease: a case study
Objective 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.Design 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).Setting Routinely collected primary care data from the quality improvement in chronic kidney disease (QICKD—ISRCTN56023731) trial.Main outcome measures 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.Results 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).Conclusion 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