Literature DB >> 33468531

Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multimorbidity.

Jane Lyons1, Ashley Akbari2, Utkarsh Agrawal3, Gill Harper4, Amaya Azcoaga-Lorenzo3, Rowena Bailey2, James Rafferty2, Alan Watkins2, Richard Fry2, Colin McCowan3, Carol Dezateux4, John P Robson4, Niels Peek5, Chris Holmes6, Spiros Denaxas7, Rhiannon Owen8, Keith R Abrams8, Ann John2, Dermot O'Reilly9, Sylvia Richardson10, Marlous Hall11, Chris P Gale11, Jan Davies12, Chris Davies12, Lynsey Cross2, John Gallacher13, James Chess14, Anthony J Brookes15, Ronan A Lyons2.   

Abstract

INTRODUCTION: Multimorbidity is widely recognised as the presence of two or more concurrent long-term conditions, yet remains a poorly understood global issue despite increasing in prevalence.We have created the Wales Multimorbidity e-Cohort (WMC) to provide an accessible research ready data asset to further the understanding of multimorbidity. Our objectives are to create a platform to support research which would help to understand prevalence, trajectories and determinants in multimorbidity, characterise clusters that lead to highest burden on individuals and healthcare services, and evaluate and provide new multimorbidity phenotypes and algorithms to the National Health Service and research communities to support prevention, healthcare planning and the management of individuals with multimorbidity. METHODS AND ANALYSIS: The WMC has been created and derived from multisourced demographic, administrative and electronic health record data relating to the Welsh population in the Secure Anonymised Information Linkage (SAIL) Databank. The WMC consists of 2.9 million people alive and living in Wales on the 1 January 2000 with follow-up until 31 December 2019, Welsh residency break or death. Published comorbidity indices and phenotype code lists will be used to measure and conceptualise multimorbidity.Study outcomes will include: (1) a description of multimorbidity using published data phenotype algorithms/ontologies, (2) investigation of the associations between baseline demographic factors and multimorbidity, (3) identification of temporal trajectories of clusters of conditions and multimorbidity and (4) investigation of multimorbidity clusters with poor outcomes such as mortality and high healthcare service utilisation. ETHICS AND DISSEMINATION: The SAIL Databank independent Information Governance Review Panel has approved this study (SAIL Project: 0911). Study findings will be presented to policy groups, public meetings, national and international conferences, and published in peer-reviewed journals. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  epidemiology; geriatric medicine; health policy; primary care; public health

Mesh:

Year:  2021        PMID: 33468531      PMCID: PMC7817800          DOI: 10.1136/bmjopen-2020-047101

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


  35 in total

1.  Comorbidity measures for use with administrative data.

Authors:  A Elixhauser; C Steiner; D R Harris; R M Coffey
Journal:  Med Care       Date:  1998-01       Impact factor: 2.983

2.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

3.  Support and Assessment for Fall Emergency Referrals (SAFER) 2: a cluster randomised trial and systematic review of clinical effectiveness and cost-effectiveness of new protocols for emergency ambulance paramedics to assess older people following a fall with referral to community-based care when appropriate.

Authors:  Helen A Snooks; Rebecca Anthony; Robin Chatters; Jeremy Dale; Rachael Fothergill; Sarah Gaze; Mary Halter; Ioan Humphreys; Marina Koniotou; Phillipa Logan; Ronan Lyons; Suzanne Mason; Jon Nicholl; Julie Peconi; Ceri Phillips; Judith Phillips; Alison Porter; A Niroshan Siriwardena; Graham Smith; Alun Toghill; Mushtaq Wani; Alan Watkins; Richard Whitfield; Lynsey Wilson; Ian T Russell
Journal:  Health Technol Assess       Date:  2017-03       Impact factor: 4.014

4.  Comorbidities in the diseasome are more apparent than real: What Bayesian filtering reveals about the comorbidities of depression.

Authors:  Peter Marx; Peter Antal; Bence Bolgar; Gyorgy Bagdy; Bill Deakin; Gabriella Juhasz
Journal:  PLoS Comput Biol       Date:  2017-06-23       Impact factor: 4.475

5.  The epidemiology of multimorbidity in primary care: a retrospective cohort study.

Authors:  Anna Cassell; Duncan Edwards; Amelia Harshfield; Kirsty Rhodes; James Brimicombe; Rupert Payne; Simon Griffin
Journal:  Br J Gen Pract       Date:  2018-03-12       Impact factor: 5.386

6.  Emergency hospital admissions associated with a non-randomised housing intervention meeting national housing quality standards: a longitudinal data linkage study.

Authors:  Sarah E Rodgers; Rowena Bailey; Rhodri Johnson; Damon Berridge; Wouter Poortinga; Simon Lannon; Robert Smith; Ronan A Lyons
Journal:  J Epidemiol Community Health       Date:  2018-06-20       Impact factor: 3.710

7.  The SAIL Databank: building a national architecture for e-health research and evaluation.

Authors:  David V Ford; Kerina H Jones; Jean-Philippe Verplancke; Ronan A Lyons; Gareth John; Ginevra Brown; Caroline J Brooks; Simon Thompson; Owen Bodger; Tony Couch; Ken Leake
Journal:  BMC Health Serv Res       Date:  2009-09-04       Impact factor: 2.655

8.  All Wales Injury Surveillance System revised: development of a population-based system to evaluate single-level and multilevel interventions.

Authors:  Ronan A Lyons; Samantha Turner; Jane Lyons; Angharad Walters; Helen A Snooks; Judith Greenacre; Ciaran Humphreys; Sarah J Jones
Journal:  Inj Prev       Date:  2015-12-09       Impact factor: 2.399

9.  Measuring follow-up time in routinely-collected health datasets: Challenges and solutions.

Authors:  Daniel Thayer; Arfon Rees; Jon Kennedy; Huw Collins; Dan Harris; Julian Halcox; Luca Ruschetti; Richard Noyce; Caroline Brooks
Journal:  PLoS One       Date:  2020-02-11       Impact factor: 3.240

10.  Contacts with primary and secondary healthcare prior to suicide: case-control whole-population-based study using person-level linked routine data in Wales, UK, 2000-2017.

Authors:  Ann John; Marcos DelPozo-Banos; David Gunnell; Michael Dennis; Jonathan Scourfield; David V Ford; Nav Kapur; Keith Lloyd
Journal:  Br J Psychiatry       Date:  2020-12       Impact factor: 9.319

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  1 in total

1.  What makes administrative data "research-ready"? A systematic review and thematic analysis of published literature.

Authors:  Louise Mc Grath-Lone; Matthew A Jay; Ruth Blackburn; Emma Gordon; Ania Zylbersztejn; Linda Wiljaars; Ruth Gilbert
Journal:  Int J Popul Data Sci       Date:  2022-04-27
  1 in total

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