scholarly journals Using veterinary electronic patient records to describe longevity and mortality in the UK general horse population

2020 ◽  
Vol 52 (S54) ◽  
pp. 16-16
Keyword(s):  
Patient Records ◽  
Electronic Patient Records ◽  
Horse Population ◽  
The Uk

scholarly journals EP.TH.632A single centre’s experience with bariatric surgery outcomes compared to UK NBSR third report 2020

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Georgina James ◽  
Bussa Gopinath ◽  
Milind Rao
Keyword(s):  
Bariatric Surgery ◽  
Weight Loss ◽  
Average Weight ◽  
Patient Records ◽  
Gastric Sleeve ◽  
Electronic Patient Records ◽  
Period Data ◽  
Surgery Outcomes ◽  
Specialist Nurses ◽  
The Uk

Abstract Bariatric Surgery has become a routine elective operation offered to patients with obesity (BMI >30) and obesity related diseases. The UK national Bariatric Surgery registry (NBSR) publishes data from record bariatric surgeries. Aim We compare one Bariatric service’s outcomes with the outcomes of the NBSR- Third Report 2020. Outcomes; 30-day mortality and complications, length of stay (LOS), 1-year weight loss for Gastric Sleeve (GS) and Roux-en-Y gastric bypasses. Method We collected data from one bariatric unit over a 98-month period. Data were taken from bariatric specialist nurses and electronic patient records. This was then compared with the NBSR report 2020. Results NBSR UK records 48.8% bypasses and 35.4% GS compared with our department (81.2% bypasses and 9.5% GS.) The average weight-loss 1-year post op for GS 36.9kg (NBSR 40.3kg) and for bypass 60.2kg (NBSR 44.1 kg) The average LOS for Bypass was 2.37 days (95%CI 2.3-.2.7) compared with the NBSR 2.6 (95% CI: 2.5-2.7). Whereas GS 2.9 (95%CI: 2.3-3.4) compared to NBSR 2.5 (95% CI: 2.4-2.6). 30-day mortality for primary procedures was 0% for Bypasses and GS compared with the NBSR 0.05%. 30 day complications at 1.74% compared with NBSR <2.38%. Conclusion Our unit proportionally performs more bypasses compared with the rest of UK and has greater 1-year weight-Loss with bypass procedures. This bariatric unit had less 30 day mortality and complications compared with NBSR. Our department is meeting the national outcomes when compared with the rest of the UK.

scholarly journals Using electronic patient records to assess the effect of a complex antenatal intervention in a cluster randomised controlled trial - Data management experience from the DESiGN Trial team.

2021 ◽  
Author(s):  
Sophie Relph ◽  
Maria Elstad ◽  
Bolaji Coker ◽  
Matias C Vieira ◽  
Natalie Moitt ◽  
...  
Keyword(s):  
Controlled Trial ◽  
Cluster Randomised Controlled Trial ◽  
Data Dictionary ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Cluster Randomised ◽  
Quality Checks ◽  
Randomised Controlled ◽  
The Uk ◽  
Data Harmonisation

Abstract Background The use of electronic patient records for assessing outcomes in clinical trials is a methodological strategy intended to drive faster and more cost-efficient acquisition of results. The aim of this manuscript was to outline the data collection and management considerations of a maternity and perinatal clinical trial using data from electronic patient records, exemplifying the DESiGN Trial as a case study. Methods The DESiGN Trial is a cluster randomised controlled trial assessing the effect of a complex intervention versus standard care for identifying small for gestational age fetuses. Data on maternal/perinatal characteristics and outcomes including infants admitted to neonatal care, parameters from fetal ultrasound and details of hospital activity for health-economic evaluation were collected at two time points from four types of electronic patient records held in 22 different electronic record systems at the 13 research clusters. Data were pseudonymised on site using a bespoke Microsoft Excel macro and securely transferred to the central data store. Data quality checks were undertaken. Rules for data harmonisation of the raw data were developed and a data dictionary produced, along with rules and assumptions for data linkage of the datasets. The dictionary included descriptions of the rationale and assumptions for data harmonisation and quality checks. Results Data were collected on 182,052 babies from 178,350 pregnancies in 165,397 unique women. Data availability and completeness varied across research sites (each of eight variables which were key to calculation of the primary outcome were completely missing in median 3 (range 1-4) clusters at the time of the first data download. This improved by the second data download following clarification of instructions to the research sites (each of the eight key variables were completely missing in median 1 (range 0-1) cluster at the second time point). Common data management challenges were harmonising a single variable from multiple sources and categorising free-text data, solutions were developed for this trial. Conclusions Conduct of clinical trials which use electronic patient records for the assessment of outcomes can be time and cost-effective but still requires appropriate time and resources to maximise data quality. A difficulty for pregnancy and perinatal research in the UK is the wide variety of different systems used to collect patient data across maternity units in the UK. In this manuscript we describe how we managed this and provide a detailed data dictionary which covers the harmonisation of variable names and variables that will be helpful for other researchers working with these data. Trial Registration: Primary registry and trial identifying number: ISRCTN 67698474. Registered 02/11/16. https://doi.org/10.1186/ISRCTN67698474

scholarly journals Dogs Don’t Die Just in Hot Cars—Exertional Heat-Related Illness (Heatstroke) Is a Greater Threat to UK Dogs

Animals ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1324
Author(s):  
Emily Hall ◽  
Anne Carter ◽  
Dan O’Neill
Keyword(s):  
Risk Factors ◽  
Public Awareness ◽  
Young Male ◽  
Mitigation Strategies ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Respiratory Compromise ◽  
Human Risk ◽  
The Uk

Heat-related illness will affect increasing numbers of dogs as global temperatures rise unless effective mitigation strategies are implemented. This study aimed to identify the key triggers of heat-related illness in dogs and investigate canine risk factors for the most common triggers in UK dogs. Using the VetCompassTM programme, de-identified electronic patient records of 905,543 dogs under primary veterinary care in 2016 were reviewed to identify 1259 heat-related illness events from 1222 dogs. Exertional heat-related illness was the predominant trigger (74.2% of events), followed by environmental (12.9%) and vehicular confinement (5.2%). Canine and human risk factors appear similar; young male dogs had greater odds of exertional heat-related illness, older dogs and dogs with respiratory compromise had the greatest odds of environmental heat-related illness. Brachycephalic dogs had greater odds of all three types of heat-related illness compared with mesocephalic dogs. The odds of death following vehicular heat-related illness (OR 1.47, p = 0.492) was similar to that of exertional heat-related illness. In the UK, exertional heat-related illness affects more dogs, and kills more dogs, than confinement in a hot vehicle. Campaigns to raise public awareness about heat-related illness in dogs need to highlight that dogs don’t die just in hot cars.

Electronic Patient Records in Medical Practice: A Multidisciplinary Endeavor

1999 ◽  
Vol 38 (04/05) ◽  
pp. 287-288 ◽  
Author(s):  
J. van der Lei ◽  
P. W. Moorman ◽  
M. A. Musen
Keyword(s):  
Medical Practice ◽  
Patient Records ◽  
Electronic Patient Records

Postmarketing Surveillance Based on Electronic Patient Records: The IPCI Project

1999 ◽  
Vol 38 (04/05) ◽  
pp. 339-344 ◽  
Author(s):  
J. van der Lei ◽  
B. M. Th. Mosseveld ◽  
M. A. M. van Wijk ◽  
P. D. van der Linden ◽  
M. C. J. M. Sturkenboom ◽  
...  
Keyword(s):  
General Practitioner ◽  
General Practitioners ◽  
Validation Studies ◽  
Resource Planning ◽  
Routine Practice ◽  
Patient Records ◽  
Postmarketing Surveillance ◽  
Electronic Patient Records ◽  
Use Of Data ◽  
Data Requirements

AbstractResearchers claim that data in electronic patient records can be used for a variety of purposes including individual patient care, management, and resource planning for scientific research. Our objective in the project Integrated Primary Care Information (IPCI) was to assess whether the electronic patient records of Dutch general practitioners contain sufficient data to perform studies in the area of postmarketing surveillance studies. We determined the data requirements for postmarketing surveil-lance studies, implemented additional software in the electronic patient records of the general practitioner, developed an organization to monitor the use of data, and performed validation studies to test the quality of the data. Analysis of the data requirements showed that additional software had to be installed to collect data that is not recorded in routine practice. To avoid having to obtain informed consent from each enrolled patient, we developed IPCI as a semianonymous system: both patients and participating general practitioners are anonymous for the researchers. Under specific circumstances, the researcher can contact indirectly (through a trusted third party) the physician that made the data available. Only the treating general practitioner is able to decode the identity of his patients. A Board of Supervisors predominantly consisting of participating general practitioners monitors the use of data. Validation studies show the data can be used for postmarketing surveillance. With additional software to collect data not normally recorded in routine practice, data from electronic patient record of general practitioners can be used for postmarketing surveillance.

scholarly journals Electronic patient record and its effects on social aspects of interprofessional collaboration and clinical workflows in hospitals (eCoCo): a mixed methods study protocol

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Marina Beckmann ◽  
Kerstin Dittmer ◽  
Julia Jaschke ◽  
Ute Karbach ◽  
Juliane Köberlein-Neu ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Health Services ◽  
Healthcare Professionals ◽  
Social Research ◽  
Interprofessional Collaboration ◽  
Participant Observation ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Daily Work ◽  
Network Analyses

Abstract Background The need for and usage of electronic patient records within hospitals has steadily increased over the last decade for economic reasons as well as the proceeding digitalization. While there are numerous benefits from this system, the potential risks of using electronic patient records for hospitals, patients and healthcare professionals must also be discussed. There is a lack in research, particularly regarding effects on healthcare professionals and their daily work in health services. The study eCoCo aims to gain insight into changes in interprofessional collaboration and clinical workflows resulting from introducing electronic patient records. Methods eCoCo is a multi-center case study integrating mixed methods from qualitative and quantitative social research. The case studies include three hospitals that undergo the process of introducing electronic patient records. Data are collected before and after the introduction of electronic patient records using participant observation, interviews, focus groups, time measurement, patient and employee questionnaires and a questionnaire to measure the level of digitalization. Furthermore, documents (patient records) as well as structural and administrative data are gathered. To analyze the interprofessional collaboration qualitative network analyses, reconstructive-hermeneutic analyses and document analyses are conducted. The workflow analyses, patient and employee assessment analyses and classification within the clinical adoption meta-model are conducted to provide insights into clinical workflows. Discussion This study will be the first to investigate the effects of introducing electronic patient records on interprofessional collaboration and clinical workflows from the perspective of healthcare professionals. Thereby, it will consider patients’ safety, legal and ethical concerns and quality of care. The results will help to understand the organization and thereby improve the performance of health services working with electronic patient records. Trial registration The study was registered at the German clinical trials register (DRKS00023343, Pre-Results) on November 17, 2020.

scholarly journals Using electronic patient records to assess the effect of a complex antenatal intervention in a cluster randomised controlled trial—data management experience from the DESiGN Trial team

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Sophie Relph ◽  
◽  
Maria Elstad ◽  
Bolaji Coker ◽  
Matias C. Vieira ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Data Quality ◽  
Data Management ◽  
Randomised Control Trial ◽  
Data Dictionary ◽  
Patient Records ◽  
Electronic Patient Records ◽  
Cluster Randomised ◽  
Quality Checks ◽  
Data Harmonisation

Abstract Background The use of electronic patient records for assessing outcomes in clinical trials is a methodological strategy intended to drive faster and more cost-efficient acquisition of results. The aim of this manuscript was to outline the data collection and management considerations of a maternity and perinatal clinical trial using data from electronic patient records, exemplifying the DESiGN Trial as a case study. Methods The DESiGN Trial is a cluster randomised control trial assessing the effect of a complex intervention versus standard care for identifying small for gestational age foetuses. Data on maternal/perinatal characteristics and outcomes including infants admitted to neonatal care, parameters from foetal ultrasound and details of hospital activity for health-economic evaluation were collected at two time points from four types of electronic patient records held in 22 different electronic record systems at the 13 research clusters. Data were pseudonymised on site using a bespoke Microsoft Excel macro and securely transferred to the central data store. Data quality checks were undertaken. Rules for data harmonisation of the raw data were developed and a data dictionary produced, along with rules and assumptions for data linkage of the datasets. The dictionary included descriptions of the rationale and assumptions for data harmonisation and quality checks. Results Data were collected on 182,052 babies from 178,350 pregnancies in 165,397 unique women. Data availability and completeness varied across research sites; each of eight variables which were key to calculation of the primary outcome were completely missing in median 3 (range 1–4) clusters at the time of the first data download. This improved by the second data download following clarification of instructions to the research sites (each of the eight key variables were completely missing in median 1 (range 0–1) cluster at the second time point). Common data management challenges were harmonising a single variable from multiple sources and categorising free-text data, solutions were developed for this trial. Conclusions Conduct of clinical trials which use electronic patient records for the assessment of outcomes can be time and cost-effective but still requires appropriate time and resources to maximise data quality. A difficulty for pregnancy and perinatal research in the UK is the wide variety of different systems used to collect patient data across maternity units. In this manuscript, we describe how we managed this and provide a detailed data dictionary covering the harmonisation of variable names and values that will be helpful for other researchers working with these data. Trial registration Primary registry and trial identifying number: ISRCTN 67698474. Registered on 02/11/16.

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