. 2024 Jul 29;24(1):209.

doi: 10.1186/s12911-024-02589-x.

Creating a health informatics data resource for hearing health research

Nishchay Mehta^{1

2}, Baptiste Briot Ribeyre^{1

3}, Lilia Dimitrov^{1

2}, Louise J English^{1

3}, Colleen Ewart⁴, Antje Heinrich^{5

6}, Nikhil Joshi^{1

2}, Kevin J Munro^{5

6}, Gail Roadknight⁷, Luis Romao^{1

3}, Anne Gm Schilder^{1

2}, Ruth V Spriggs^{8

9}, Ruth Norris^{5

10}, Talisa Ross^{11

12

13}, George Tilston^{5

10}

Affiliations

¹ NIHR University College London Hospitals Biomedical Research Centre, London, UK.
² Royal National ENT Hospital, UCLH Trust, London, UK.
³ Institute of Health Informatics, Faculty of Population Health Sciences, University College London, London, UK.
⁴ NIHR Health Informatics Collaborative Hearing Health, Patient and Public Engagement Group, London, UK.
⁵ NIHR Manchester Biomedical Research Centre, Manchester, UK.
⁶ Manchester Centre for Audiology and Deafness (ManCAD), School of Health Sciences, The University of Manchester, Manchester, UK.
⁷ Oxford University Hospitals NHS Foundation Trust: Oxford, Oxfordshire, UK.
⁸ NIHR Biomedical Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
⁹ Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK.
¹⁰ Centre for Health Informatics, School of Health Sciences, The University of Manchester, Manchester, UK.
¹¹ NIHR University College London Hospitals Biomedical Research Centre, London, UK. Talisaross@doctors.org.uk.
¹² Royal National ENT Hospital, UCLH Trust, London, UK. Talisaross@doctors.org.uk.
¹³ Nottingham Audiology Services, Nottingham University Hospitals, Nottingham, UK. Talisaross@doctors.org.uk.

PMID: 39075459
PMCID: PMC11285202
DOI: 10.1186/s12911-024-02589-x

Creating a health informatics data resource for hearing health research

Nishchay Mehta et al. BMC Med Inform Decis Mak. 2024.

. 2024 Jul 29;24(1):209.

doi: 10.1186/s12911-024-02589-x.

Authors

Affiliations

¹ NIHR University College London Hospitals Biomedical Research Centre, London, UK.
² Royal National ENT Hospital, UCLH Trust, London, UK.
³ Institute of Health Informatics, Faculty of Population Health Sciences, University College London, London, UK.
⁴ NIHR Health Informatics Collaborative Hearing Health, Patient and Public Engagement Group, London, UK.
⁵ NIHR Manchester Biomedical Research Centre, Manchester, UK.
⁶ Manchester Centre for Audiology and Deafness (ManCAD), School of Health Sciences, The University of Manchester, Manchester, UK.
⁷ Oxford University Hospitals NHS Foundation Trust: Oxford, Oxfordshire, UK.
⁸ NIHR Biomedical Research Centre, School of Medicine, University of Nottingham, Nottingham, UK.
⁹ Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK.
¹⁰ Centre for Health Informatics, School of Health Sciences, The University of Manchester, Manchester, UK.
¹¹ NIHR University College London Hospitals Biomedical Research Centre, London, UK. Talisaross@doctors.org.uk.
¹² Royal National ENT Hospital, UCLH Trust, London, UK. Talisaross@doctors.org.uk.
¹³ Nottingham Audiology Services, Nottingham University Hospitals, Nottingham, UK. Talisaross@doctors.org.uk.

PMID: 39075459
PMCID: PMC11285202
DOI: 10.1186/s12911-024-02589-x

Erratum in

Correction: Creating a health informatics data resource for hearing health research.
Mehta N, Ribeyre BB, Dimitrov L, English LJ, Ewart C, Heinrich A, Joshi N, Munro KJ, Roadknight G, Romao L, Schilder AG, Spriggs RV, Norris R, Ross T, Tilston G. Mehta N, et al. BMC Med Inform Decis Mak. 2024 Aug 19;24(1):230. doi: 10.1186/s12911-024-02632-x. BMC Med Inform Decis Mak. 2024. PMID: 39160523 Free PMC article. No abstract available.

Abstract

Background: The National Institute of Health and Social Care Research (NIHR) Health Informatics Collaborative (HIC) for Hearing Health has been established in the UK to curate routinely collected hearing health data to address research questions. This study defines priority research areas, outlines its aims, governance structure and demonstrates how hearing health data have been integrated into a common data model using pure tone audiometry (PTA) as a case study.

Methods: After identifying key research aims in hearing health, the governance structure for the NIHR HIC for Hearing Health is described. The Observational Medical Outcomes Partnership (OMOP) was chosen as our common data model to provide a case study example.

Results: The NIHR HIC Hearing Health theme have developed a data architecture outlying the flow of data from all of the various siloed electronic patient record systems to allow the effective linkage of data from electronic patient record systems to research systems. Using PTAs as an example, OMOPification of hearing health data successfully collated a rich breadth of datapoints across multiple centres.

Conclusion: This study identified priority research areas where routinely collected hearing health data could be useful. It demonstrates integration and standardisation of such data into a common data model from multiple centres. By describing the process of data sharing across the HIC, we hope to invite more centres to contribute and utilise data to address research questions in hearing health. This national initiative has the power to transform UK hearing research and hearing care using routinely collected clinical data.

Keywords: Data sharing; Database; Hearing health.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

**Fig. 1**
Process of requesting approval to use NIHR HIC Hearing Health data for research

**Fig. 2**
Local databases for auditory assessment (green) and hearing aid fitting (blue) and patient management (orange) all need to be combined in a meaningful way

**Fig. 3**
Examples of linking structure of codes using fact relationships

**Fig. 4**
The different stages of data standardisation and integration from different types of data across a variety of platforms and providers within the field of hearing health research. There are two main steps:1. Step 1: generate local view of the uploaded CSV files for the sites to inspect and ensures it has been possible to load data into the database2. Step 2: updates and merges site’s existing data with newly ingested data, ensuring there are valid foreign keys (a system of connecting different tables of data), duplicates have been removed and deletions and updates have been processed to obtain the latest local version of a site’s data

See this image and copyright information in PMC

References

1. Royal National Institute for the Deaf. Facts and figures - RNID. https://rnid.org.uk/about-us/research-and-policy/facts-and-figures/ (accessed 12 Apr 2023).
1. Office of National Statistics. 2011 censuses UK comparability report. https://www.ons.gov.uk/census/planningforcensus2021/ukcensusdata (accessed 12 Apr 2023).
1. Shield B. Hearing Loss-Numbers and Costs EVALUATION OF THE SOCIAL AND ECONOMIC COSTS OF HEARING IMPAIRMENT A report for Hear-It AISBL. 2019.
1. Demorest ME, Erdman SA. Relationships among behavioral, environmental, and affective communication variables: a canonical analysis of the CPHI. J Speech Hear Disorders. 1989;54:180–8. 10.1044/jshd.5402.180. 10.1044/jshd.5402.180 - DOI - PubMed
1. Meadow-Orlans KP. Social and psychological effects of hearing loss in adulthood: a literature review. Adjustment Adult Hear loss 1985;:35–57.

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Creating a health informatics data resource for hearing health research

Affiliations

Creating a health informatics data resource for hearing health research

Authors

Affiliations

Erratum in

Abstract

Conflict of interest statement

Figures

References

MeSH terms

LinkOut - more resources

Full Text Sources