ABC of medical computing. Computers in general practice--I

Protocolization of multicenter clinical studies in the digital era. Is useful data centralization by a data-manager?

INTRODUCTION

In multicenter studies, the protocolization of data is a critical phase that can generate biases.The objective is to analyze the concordance and reliability of the data obtained in a clinical multicenter study between the protocolization in the center of origin and the centralized protocolization of the data by a data -manager.

METHODS

National multicenter clinical study about an infrequent carcinoma. A double protocolization of the data is carried out: (a) center of origin; and (b) centralized by a data manager: The concordance between the data is analyzed for the global data and for the two groups of the project: (a) study group (Familiar carcinoma, 30 researchers protocolize); (b) control group (Sporadic carcinoma, 4 people protocolize). Interobserver variability is evaluated using Cohen's kappa coefficient.

RESULTS

The study includes a total of 689 patients with carcinoma, 252 in the study group and 437 in the control group. Regarding the concordance analysis of the tumor stage, 2.5% of disagreements were observed and the concordance between people who protocolize was near perfect (Kappa = 0.931). Regarding the evaluation of the recurrence risk, disagreements occurred in 7% of the cases and the concordance was near perfect (Kappa = 0.819). Regarding the sonography evaluation (TIRADS), the disagreements were 6.9% and the concordance was near perfect (Kappa = 0.922). Also, 4.6% of transcription errors were detected.

CONCLUSIONS

In multicenter clinical studies, the centralized data protocolization o by a data-manager seems to present similar results to the direct protocolization in the database in the center of origin.

Genetically predicted on-statin LDL response is associated with higher intracerebral haemorrhage risk

Statins lower low-density lipoprotein cholesterol and are widely used for the prevention of atherosclerotic cardiovascular disease. Whether statin-induced low-density lipoprotein reduction increases risk of intracerebral haemorrhage has been debated for almost two decades. Here, we explored whether genetically predicted on-statin low-density lipoprotein response is associated with intracerebral haemorrhage risk using Mendelian randomization. Using genomic data from randomized trials, we derived a polygenic score from 35 single nucleotide polymorphisms of on-statin low-density lipoprotein response and tested it in the population-based UK Biobank. We extracted statin drug and dose information from primary care data on a subset of 225 195 UK Biobank participants covering a period of 29 years. We validated the effects of the genetic score on longitudinal low-density lipoprotein measurements with generalized mixed models and explored associations with incident intracerebral haemorrhage using Cox regression analysis. Statins were prescribed at least once to 75 973 (31%) of the study participants (mean 57 years, 55% females). Among statin users, mean low-density lipoprotein decreased by 3.45 mg/dl per year [95% confidence interval (CI): (-3.47, -3.42)] over follow-up. A higher genetic score of statin response [1 standard deviation (SD) increment] was associated with significant additional reductions in low-density lipoprotein levels [-0.05 mg/dl per year, (-0.07, -0.02)], showed concordant lipidomic effects on other lipid traits as statin use and was associated with a lower risk for incident myocardial infarction [hazard ratio per SD increment 0.98 95% CI (0.96, 0.99)] and peripheral artery disease [hazard ratio per SD increment 0.93 95% CI (0.87, 0.99)]. Over a 11-year follow-up period, a higher genetically predicted statin response among statin users was associated with higher intracerebral haemorrhage risk in a model adjusting for statin dose [hazard ratio per SD increment 1.16, 95% CI (1.05, 1.28)]. On the contrary, there was no association with intracerebral haemorrhage risk among statin non-users (P = 0.89). These results provide further support for the hypothesis that statin-induced low-density lipoprotein reduction may be causally associated with intracerebral haemorrhage risk. While the net benefit of statins for preventing vascular disease is well-established, these results provide insights about the personalized response to statin intake and the role of pharmacological low-density lipoprotein lowering in the pathogenesis of intracerebral haemorrhage.

Clinical code usage in UK general practice: a cohort study exploring 18 conditions over 14 years

OBJECTIVE

To assess the diagnostic Read code usage for 18 conditions by examining their frequency and diversity in UK primary care between 2000 and 2013.

DESIGN

Population-based cohort study SETTING: 684 UK general practices contributing data to the Clinical Practice Research Datalink (CPRD) GOLD.

PARTICIPANTS

Patients with clinical codes for at least one of asthma, chronic obstructive pulmonary disease, diabetes, hypertension (HT), coronary heart disease, atrial fibrillation (AF), heart failure, stroke, hypothyroidism, chronic kidney disease, learning disability (LD), depression, dementia, epilepsy, severe mental illness (SMI), osteoarthritis, osteoporosis and cancer.

PRIMARY AND SECONDARY OUTCOME MEASURES

For the frequency ranking of clinical codes, canonical correlation analysis was applied to correlations of clinical code usage of 1, 3 and 5 years. Three measures of diversity (Shannon entropy index of diversity, richness and evenness) were used to quantify changes in incident and total clinical codes.

RESULTS

Overall, all examined conditions, except LD, showed positive monotonic correlation. HT, hypothyroidism, osteoarthritis and SMI codes' usage had high 5-year correlation. The codes' usage diversity remained stable overall throughout the study period. Cancer, diabetes and SMI had the highest richness (code lists need time to define) unlike AF, hypothyroidism and LD. SMI (high richness) and hypothyroidism (low richness) can last for 5 years, whereas cancer and diabetes (high richness) and LD (low richness) only last for 2 years.

CONCLUSIONS

This is an under-reported research area and the findings suggest the codes' usage diversity for most conditions remained overall stable throughout the study period. Generated mental health code lists can last for a long time unlike cardiometabolic conditions and cancer. Adopting more consistent and less diverse coding would help improve data quality in primary care. Future research is needed following the transfer to the Systematised Nomenclature of Medicine Clinical Terms (SNOMED CT) coding.

Primary Care Patient Records in the United Kingdom: Past, Present, and Future Research Priorities

This paper briefly outlines the history of the medical record and the factors contributing to the adoption of computerized records in primary care in the United Kingdom. It discusses how both paper-based and electronic health records have traditionally been used in the past and goes on to examine how enabling patients to access their own primary care record online is changing the form and function of the patient record. In addition, it looks at the evidence for the benefits of Web-based access and discusses some of the challenges faced in this transition. Finally, some suggestions are made regarding the future of the patient record and research questions that need to be addressed to help deepen our understanding of how they can be used more beneficially by both patients and clinicians.

Spatial distribution of clinical computer systems in primary care in England in 2016 and implications for primary care electronic medical record databases: a cross-sectional population study

OBJECTIVES

UK primary care databases (PCDs) are used by researchers worldwide to inform clinical practice. These databases have been primarily tied to single clinical computer systems, but little is known about the adoption of these systems by primary care practices or their geographical representativeness. We explore the spatial distribution of clinical computing systems and discuss the implications for the longevity and regional representativeness of these resources.

DESIGN

Cross-sectional study.

SETTING

English primary care clinical computer systems.

PARTICIPANTS

7526 general practices in August 2016.

METHODS

Spatial mapping of family practices in England in 2016 by clinical computer system at two geographical levels, the lower Clinical Commissioning Group (CCG, 209 units) and the higher National Health Service regions (14 units). Data for practices included numbers of doctors, nurses and patients, and area deprivation.

RESULTS

Of 7526 practices, Egton Medical Information Systems (EMIS) was used in 4199 (56%), SystmOne in 2552 (34%) and Vision in 636 (9%). Great regional variability was observed for all systems, with EMIS having a stronger presence in the West of England, London and the South; SystmOne in the East and some regions in the South; and Vision in London, the South, Greater Manchester and Birmingham.

CONCLUSIONS

PCDs based on single clinical computer systems are geographically clustered in England. For example, Clinical Practice Research Datalink and The Health Improvement Network, the most popular primary care databases in terms of research outputs, are based on the Vision clinical computer system, used by <10% of practices and heavily concentrated in three major conurbations and the South. Researchers need to be aware of the analytical challenges posed by clustering, and barriers to accessing alternative PCDs need to be removed.

Double-blind control of the data manager doesn't have any impact on data entry reliability and should be considered as an avoidable cost

BACKGROUND

Database systems have been developed to store data from large medical trials and survey studies. However, a reliable data storage system does not guarantee data entering reliability.We aimed to evaluate if double-blind control of the data manager might have any effect on data-reliability. Our secondary aim was to assess the influence of the inserting position in the insertion-sheet on data-entry accuracy and the effectiveness of electronic controls in identifying data-entering mistakes.

METHODS

A cross-sectional survey and single data-manager data entry.Data from PACMeR_02 survey, which had been conducted within a framework of the SESy-Europe project (PACMeR_01.4), were used as substrate for this study. We analyzed the electronic storage of 6,446 medical charts. We structured data insertion in four sequential phases. After each phase, the data stored in the database were tested in order to detect unreliable entries through both computerized and manual random control. Control was provided in a double blind fashion.

RESULTS

Double-blind control of the data manager didn't improve data entry reliability. Entries near the end of the insertion sheet were correlated with a larger number of mistakes. Data entry monitoring by electronic-control was statistically more effective than hand-searching of randomly selected medical records.

CONCLUSION

Double-blind control of the data manager should be considered an avoidable cost. Electronic-control for monitoring of data-entry reliability is suggested.

Evaluation of staff workload during resuscitation of trauma patients

OBJECTIVE

Evaluating the medical staff workload during resuscitation of trauma patients is one of the important quality assurance activities to provide adequate medical manpower, especially for patients with life-threatening or severe injuries. Nevertheless, there is no method available to measure and calculate the amount of workload during resuscitation. We sought to develop a new framework of Workload Scoring System (WSS) to evaluate and quantify the medical staff workload during resuscitation.

METHODS

From July 1996 to July 1998, the records of 11,800 trauma patients were prospectively collected from our computer-stored medical record system. The Workload Scoring System points with reference to age, different triage category on the basis of triage version of the Revised Trauma Score (RTS), level category on the basis of Injury Severity Score (ISS), and Abbreviated Injury Scale (AIS) in six body regions were calculated to survey the medical staff workload.

RESULTS

The WSS points were 18.51 +/- 0.80 for triage I, 11.88 +/- 0.17 for triage II, and 6.90 +/- 0.04 for triage III trauma patients. The WSS points were 23.10 +/- 0.67 for Level I, 20.34 +/- 0.25 for Level II, 12.87 +/- 0.08 for Level III, and 6.03 +/- 0.02 for Level IV trauma patients. There were statistically significant differences among triage I, II, and III trauma patients, and among Level I, II, III, and IV trauma patients (p < 0.01). The worse the physiologic status and the greater the anatomic damage, the more medical staff workload was needed. Multiple regression with linear model may predict WSS points as an equation of -8.920 + 1.375 ISS + 1.785 RTS + 0.424 Age (r2 = 0.621), which accounts for 62.1% of the variance in WSS points.

CONCLUSION

WSS provides a valuable tool to measure and quantify the medical staff workload during resuscitation as a function of -8.920 + 1.375 ISS + 1.785 RTS + 0.424 Age. The greatest benefit of this methodology is to forecast the expected medical staff workload to allocate sufficient medical manpower to provide the desired trauma care.

Optimising drug utilisation in long term care

Providing quality long term care for the elderly while containing costs is presenting major challenges for governments and policy makers. Although international variability exists with respect to the number of medications and other factors influencing suboptimal pharmacotherapy, suboptimal pharmacotherapy among elderly persons is common. This international problem requires a creative and multifaceted approach to improve and rationalise prescribing. We outline the non-regulatory efforts and regulatory means to approaching this problem. The recent introduction of a prospective payment system for long-term care in the US has underscored the importance of a regulatory approach to counter-balance the cost containment efforts which bundle the cost of medications into a prospectively set per diem rate. An examination of how US regulatory bodies are considering improving prescribing is provided. Considering the case of coronary heart disease, we provide data regarding the performance of a quality indicator aimed at stimulating quality prescribing for this medical condition. Although the use of regulatory approaches can improve prescribing, it is also recognised that a more holistic approach involving multidisciplinary teams and greater focus on the patient is the ultimate aspiration. This is particularly the case with the elderly in whom appropriate drug therapy can have a major impact on outcomes. A major cultural shift in the way society views and treats the elderly may be required in order to produce dramatic improvements in long term care for older people.