Literature DB >> 26968617

The UK National Neonatal Research Database: using neonatal data for research, quality improvement and more.

C Gale1, I Morris2.   

Abstract

Entities:  

Keywords:  Epidemiology; Health services research; Information Technology; Neonatology

Mesh:

Year:  2016        PMID: 26968617      PMCID: PMC4975807          DOI: 10.1136/archdischild-2015-309928

Source DB:  PubMed          Journal:  Arch Dis Child Educ Pract Ed        ISSN: 1743-0585            Impact factor:   1.309


× No keyword cloud information.

Introduction

Electronic data are increasingly recorded in clinical practice. Just as advances in genetics have gradually led to clinical benefit1 so too are ‘big data’ bringing tangible advances to patient care.2 The UK has a long history of using electronic neonatal data for research and is now in the enviable position of having electronic patient data on all admissions to National Health Service (NHS) neonatal units in England, Wales and Scotland. This national resource, the National Neonatal Research Database (NNRD), is available for research, audit, benchmarking and quality improvement. Here, we provide an overview of how data entered into an electronic system (Badger.net; Clevermed Ltd) as a component of day-to-day care, are used to form the NNRD and how this can be used by health professionals.

A brief history of neonatal databases

For over 25 years, neonatal data have been collected in regional databases such as The Neonatal Survey. The availability of national neonatal data is, however, a relatively recent phenomenon in the UK and internationally. In the UK the use of electronic patient records shared across neonatal units began in 2004 as a regional initiative. This platform, Badger.net, subsequently expanded nationwide; it is now used by many neonatal units to plan services and record activity for payment by NHS England. In 2007, the Neonatal Data Analysis Unit (NDAU) was established at the Chelsea and Westminster Hospital campus of Imperial College London to improve the quality of electronic clinical data and promote their use to support neonatal services and facilitate research. Data entered onto the Badger.net system are extracted at intervals, undergo quality assurance procedures, are anonymised and entered into the NNRD (box 1). Separate patient identifiers into a discrete relational database Merge data packets to create a single file for each patient for each neonatal unit episode Link patient episodes across neonatal units (transfers) to create single linked episode file for each patient to discharge or death Identify and flag missing, inconsistent and out-of-range data for feedback to Neonatal Units Link NNRD to Hospital Episode Statistics and Office for National Statistics data

How the NDAU and the NNRD work

All neonatal units that contribute data to the NNRD form the UK Neonatal Collaborative (currently 100% of neonatal units in England, Wales and Scotland). NNRD data originate from information entered by clinicians (usually trainees) and nursing staff onto the Bager.net platform at the point of care. Approximately 400 predefined data items, the Neonatal Data Set, are extracted quarterly from these electronic patient records to form the NNRD (figure 1). The Neonatal Data Set is an approved NHS Information Standard hence any neonatal electronic system must be able to capture these items. To date the NNRD holds data on approximately 500 000 patients with 20 000 added quarterly. Data include ICD10 codes and mapping to Systematized Nomenclature of Medicine–Clinical Terms (SNOMED-CT)3 is underway.
Figure 1

Data flows to the National Neonatal Research Database. (Courtesy of Mr Eugene Statnikov and Professor Neena Modi).

Data flows to the National Neonatal Research Database. (Courtesy of Mr Eugene Statnikov and Professor Neena Modi). The NNRD is a national Research Ethics Committee approved database; Caldicott Guardians and Neonatal Lead Clinicians of all contributing Trusts have approved the use of the NNRD for health services evaluations and authorised research. Parents are informed about the NNRD and can opt out at any time. Neonatal electronic patient record data can be used by health professionals in a variety of ways.

Using neonatal data locally

The electronic platform (Badger.net) provides ready access to local data by local clinicians. These may be used for audits, service evaluations and quality improvement projects; examples include: Identification of procedures (eg, percutaneous central lines). Identification of complications (eg, blood stream infections). Describing resource usage (eg, duration of stay). Production of activity reports. Many neonatal units have staff able to assist in using the electronic platform in this way; additionally Clevermed (the commercial provider of the Badger.net platform) can provide support: http://www.clevermed.com.

Using the NNRD

The NNRD is a national resource to support regional and national quality improvement, audit, benchmarking and research. Data held in the NNRD cover the whole clinical stay for each infant, linking all episodes of care. The NDAU can provide data extraction, analysis and statistical support; however, because the NDAU receives no core funding to maintain the NNRD, a charge is necessary to cover data transfer, extraction, cleaning, storage and any analyses requested. Examples of NNRD data use include: Evaluating the national reorganisation of neonatal services into managed clinical networks.4 Describing longitudinal growth among preterm infants.5 Evaluating the impact of a regional quality improvement project.6 Further work seeks to establish the use of the NNRD for randomised clinical trials.7 If clinicians wish to use NNRD data for a regional, national or international project or in research, the NDAU can be contacted at https://www1.imperial.ac.uk/departmentofmedicine/divisions/infectiousdiseases/paediatrics/neonatalmedicine/ndau/. Costs of using the NNRD can be built into funding applications so we advise contacting the NDAU early in the development of a proposed study.

Summary

Data entered by UK neonatal professionals into the Badger.net platform are used to form a unique resource, the NNRD. As a result of the diligence taken by the numerous (often trainee) doctors and nurses who enter data every day, the NNRD forms one of the most detailed, accurate and complete population level neonatal datasets worldwide. The NNRD can be used to support local, regional, national and international work ranging from audit to observational and interventional research. Paediatricians and neonatologists are ideally placed to identify research questions with the potential to improve neonatal care; the NDAU and the NNRD can support health professionals in undertaking such initiatives.
  7 in total

1.  Thrombus aspiration during ST-segment elevation myocardial infarction.

Authors:  Ole Fröbert; Bo Lagerqvist; Göran K Olivecrona; Elmir Omerovic; Thorarinn Gudnason; Michael Maeng; Mikael Aasa; Oskar Angerås; Fredrik Calais; Mikael Danielewicz; David Erlinge; Lars Hellsten; Ulf Jensen; Agneta C Johansson; Amra Kåregren; Johan Nilsson; Lotta Robertson; Lennart Sandhall; Iwar Sjögren; Ollie Ostlund; Jan Harnek; Stefan K James
Journal:  N Engl J Med       Date:  2013-08-31       Impact factor: 91.245

2.  Empowering clinical data collection at the point of care.

Authors:  Andy Spencer; Karen Horridge; Denise Downs
Journal:  Arch Dis Child       Date:  2015-07-07       Impact factor: 3.791

3.  Impact of managed clinical networks on NHS specialist neonatal services in England: population based study.

Authors:  C Gale; S Santhakumaran; S Nagarajan; Y Statnikov; N Modi
Journal:  BMJ       Date:  2012-04-03

4.  Repeated nebulisation of non-viral CFTR gene therapy in patients with cystic fibrosis: a randomised, double-blind, placebo-controlled, phase 2b trial.

Authors:  Eric W F W Alton; David K Armstrong; Deborah Ashby; Katie J Bayfield; Diana Bilton; Emily V Bloomfield; A Christopher Boyd; June Brand; Ruaridh Buchan; Roberto Calcedo; Paula Carvelli; Mario Chan; Seng H Cheng; D David S Collie; Steve Cunningham; Heather E Davidson; Gwyneth Davies; Jane C Davies; Lee A Davies; Maria H Dewar; Ann Doherty; Jackie Donovan; Natalie S Dwyer; Hala I Elgmati; Rosanna F Featherstone; Jemyr Gavino; Sabrina Gea-Sorli; Duncan M Geddes; James S R Gibson; Deborah R Gill; Andrew P Greening; Uta Griesenbach; David M Hansell; Katharine Harman; Tracy E Higgins; Samantha L Hodges; Stephen C Hyde; Laura Hyndman; J Alastair Innes; Joseph Jacob; Nancy Jones; Brian F Keogh; Maria P Limberis; Paul Lloyd-Evans; Alan W Maclean; Michelle C Manvell; Dominique McCormick; Michael McGovern; Gerry McLachlan; Cuixiang Meng; M Angeles Montero; Hazel Milligan; Laura J Moyce; Gordon D Murray; Andrew G Nicholson; Tina Osadolor; Javier Parra-Leiton; David J Porteous; Ian A Pringle; Emma K Punch; Kamila M Pytel; Alexandra L Quittner; Gina Rivellini; Clare J Saunders; Ronald K Scheule; Sarah Sheard; Nicholas J Simmonds; Keith Smith; Stephen N Smith; Najwa Soussi; Samia Soussi; Emma J Spearing; Barbara J Stevenson; Stephanie G Sumner-Jones; Minna Turkkila; Rosa P Ureta; Michael D Waller; Marguerite Y Wasowicz; James M Wilson; Paul Wolstenholme-Hogg
Journal:  Lancet Respir Med       Date:  2015-07-03       Impact factor: 30.700

5.  Neonatal randomised point-of-care trials are feasible and acceptable in the UK: results from two national surveys.

Authors:  Christopher Gale; Neena Modi
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2015-10-23       Impact factor: 5.747

6.  The impact of a regional care bundle on maternal breast milk use in preterm infants: outcomes of the East of England quality improvement programme.

Authors:  C Battersby; S Santhakumaran; M Upton; L Radbone; J Birch; N Modi
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2014-05-29       Impact factor: 5.747

7.  Birth weight and longitudinal growth in infants born below 32 weeks' gestation: a UK population study.

Authors:  Tim J Cole; Yevgeniy Statnikov; Shalini Santhakumaran; Huiqi Pan; Neena Modi
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2013-08-09       Impact factor: 5.747

  7 in total
  16 in total

Review 1.  The International Network for Evaluating Outcomes (iNeo) of neonates: evolution, progress and opportunities.

Authors:  Prakesh S Shah; Kei Lui; Brian Reichman; Mikael Norman; Satoshi Kusuda; Liisa Lehtonen; Mark Adams; Maximo Vento; Brian A Darlow; Neena Modi; Franca Rusconi; Stellan Håkansson; Laura San Feliciano; Kjell K Helenius; Dirk Bassler; Shinya Hirano; Shoo K Lee
Journal:  Transl Pediatr       Date:  2019-07

Review 2.  Information technology infrastructure, quality improvement and research: the UK National Neonatal Research Database.

Authors:  Neena Modi
Journal:  Transl Pediatr       Date:  2019-07

3.  Evaluating an enhanced quality improvement intervention in maternity units: PReCePT trial protocol.

Authors:  Hannah Edwards; Maria Theresa Redaniel; Brent Opmeer; Tim Peters; Ruta Margelyte; Carlos Sillero Rejon; William Hollingworth; Pippa Craggs; Elizabeth Hill; Sabi Redwood; Jenny Donovan; Karen Luyt
Journal:  BMJ Open Qual       Date:  2021-05

4.  Hospital Mortality - a neglected but rich source of information supporting the transition to higher quality health systems in low and middle income countries.

Authors:  Mike English; Paul Mwaniki; Thomas Julius; Mercy Chepkirui; David Gathara; Paul O Ouma; Peter Cherutich; Emelda A Okiro; Robert W Snow
Journal:  BMC Med       Date:  2018-03-01       Impact factor: 8.775

5.  The United Kingdom National Neonatal Research Database: A validation study.

Authors:  Cheryl Battersby; Yevgeniy Statnikov; Shalini Santhakumaran; Daniel Gray; Neena Modi; Kate Costeloe
Journal:  PLoS One       Date:  2018-08-16       Impact factor: 3.240

6.  Neonatal brain injuries in England: population-based incidence derived from routinely recorded clinical data held in the National Neonatal Research Database.

Authors:  Chris Gale; Yevgeniy Statnikov; Sena Jawad; Sabita N Uthaya; Neena Modi
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2017-10-22       Impact factor: 5.747

7.  How an electronic health record became a real-world research resource: comparison between London's Whole Systems Integrated Care database and the Clinical Practice Research Datalink.

Authors:  Alex Bottle; Carole Cohen; Amanda Lucas; Kavitha Saravanakumar; Zia Ul-Haq; Wayne Smith; Azeem Majeed; Paul Aylin
Journal:  BMC Med Inform Decis Mak       Date:  2020-04-20       Impact factor: 2.796

8.  Antimicrobial-impregnated central venous catheters for preventing neonatal bloodstream infection: the PREVAIL RCT.

Authors:  Ruth Gilbert; Michaela Brown; Rita Faria; Caroline Fraser; Chloe Donohue; Naomi Rainford; Alessandro Grosso; Ajay K Sinha; Jon Dorling; Jim Gray; Berit Muller-Pebody; Katie Harron; Tracy Moitt; William McGuire; Laura Bojke; Carrol Gamble; Sam J Oddie
Journal:  Health Technol Assess       Date:  2020-11       Impact factor: 4.106

9.  Developing, implementing and disseminating a core outcome set for neonatal medicine.

Authors:  James Webbe; Ginny Brunton; Shohaib Ali; James Mn Duffy; Neena Modi; Chris Gale
Journal:  BMJ Paediatr Open       Date:  2017-07-26

10.  Survival of very preterm infants admitted to neonatal care in England 2008-2014: time trends and regional variation.

Authors:  Shalini Santhakumaran; Yevgeniy Statnikov; Daniel Gray; Cheryl Battersby; Deborah Ashby; Neena Modi
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2017-09-07       Impact factor: 5.747

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.