Feasibility of personalised remote long-term follow-up of people with cochlear implants: a randomised controlled trial

Helen Cullington, Padraig Kitterick, Mark Weal, Magdalena Margol-Gromada, Helen Cullington, Padraig Kitterick, Mark Weal, Magdalena Margol-Gromada

Abstract

Introduction: Substantial resources are required to provide lifelong postoperative care to people with cochlear implants. Most patients visit the clinic annually. We introduced a person-centred remote follow-up pathway, giving patients telemedicine tools to use at home so they would only visit the centre when intervention was required.

Objectives: To assess the feasibility of comparing a remote care pathway with the standard pathway in adults using cochlear implants.

Design: Two-arm randomised controlled trial. Randomisation used a minimisation approach, controlling for potential confounding factors. Participant blinding was not possible, but baseline measures occurred before allocation.

Setting: University of Southampton Auditory Implant Service: provider of National Health Service care.

Participants: 60 adults who had used cochlear implants for at least 6 months.

Interventions: Control group (n=30) followed usual care pathway.Remote care group (n=30) received care remotely for 6 months incorporating: home hearing in noise test, online support tool and self-adjustment of device (only 10 had compatible equipment).

Main outcome measures: Primary: change in patient activation; measured using the Patient Activation Measure.Secondary: change in hearing and quality of life; qualitative feedback from patients and clinicians.

Results: One participant in the remote care group dropped out. The remote care group showed a greater increase in patient activation than the control group. Changes in hearing differed between the groups. The remote care group improved on the Triple Digit Test hearing test; the control group perceived their hearing was worse on the Speech, Spatial and Qualities of Hearing Scale questionnaire. Quality of life remained unchanged in both groups. Patients and clinicians were generally positive about remote care tools and wanted to continue.

Conclusions: Adults with cochlear implants were willing to be randomised and complied with the protocol. Personalised remote care for long-term follow-up is feasible and acceptable, leading to more empowered patients.

Trial registration number: ISRCTN14644286.

Keywords: cochlear implantation; cochlear implants; hearing; patient-centred care; telemedicine.

Conflict of interest statement

Competing interests: The primary investigator, HC, performed occasional private consultancy work for the cochlear implant company Cochlear Europe. HC reports grants from The Health Foundation during the conduct of the study; other from Cochlear Europe, other from Advanced Bionics, grant from British Society of Audiology, grants from Healthcare Quality Improvement Partnership, other from MED-EL, grants from Oticon Medical, personal fees from Maney publishers, grant from Ida Institute, outside the submitted work. PK reports grants from The Health Foundation and British Society of Audiology during the conduct of this study related to the submitted work; also grant from Cochlear Europe, grant from Phonak, grant from Action on Hearing Loss, grant from National Institute for Health Research, grant from Ida Institute outside the submitted work.

© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Figures

Figure 1
Figure 1
Consolidated Standards of Reporting Trials (CONSORT) flow chart of project participants. BKB, Bamford-Kowal-Bench; HUI3, HUI Mark 3; PAM, Patient Activation Measure; SSQ, Speech, Spatial and Qualities of Hearing Scale; TDT, Triple Digit Test.
Figure 2
Figure 2
Change in Patient Activation Measure (PAM) score from baseline to study exit in control (n=27) and remote care (n=27) groups. Outliers (more than 1.5 box lengths above or below the box) are shown as circles. The numbers by the markers represent individual case identifiers.
Figure 3
Figure 3
Change in Triple Digit Test (TDT) speech reception threshold (SRT; dB) from baseline to exit for control (n=14) and remote care (n=14) groups.

References

    1. BCIG. Annual update 2015-2016. 2016. .
    1. Hibbard JH, Greene J, Shi Y, et al. . Taking the long view: how well do patient activation scores predict outcomes four years later? Med Care Res Rev 2015;72:324–37. 10.1177/1077558715573871
    1. Mosen DM, Schmittdiel J, Hibbard J, et al. . Is patient activation associated with outcomes of care for adults with chronic conditions? J Ambul Care Manage 2007;30:21–9. 10.1097/00004479-200701000-00005
    1. Panagioti M, Richardson G, Small N, et al. . Self-management support interventions to reduce health care utilisation without compromising outcomes: a systematic review and meta-analysis. BMC Health Serv Res 2014;14:356 10.1186/1472-6963-14-356
    1. Cullington H, Kitterick P, DeBold L, et al. . Personalised long-term follow-up of cochlear implant patients using remote care, compared with those on the standard care pathway: study protocol for a feasibility randomised controlled trial. BMJ Open 2016;6:e011342 10.1136/bmjopen-2016-011342
    1. Sim J, Lewis M. The size of a pilot study for a clinical trial should be calculated in relation to considerations of precision and efficiency. J Clin Epidemiol 2012;65:301–8. 10.1016/j.jclinepi.2011.07.011
    1. Browne RH. On the use of a pilot sample for sample size determination. Stat Med 1995;14:1933–40. 10.1002/sim.4780141709
    1. British Cochlear Implant Group. Quality Standards. Cochlear implant services for children and adults. Birmingham: British Cochlear Implant Group, 2016.
    1. Cullington HE, Agyemang-Prempeh A. Person-centred cochlear implant care: Assessing the need for clinic intervention in adults with cochlear implants using a dual approach of an online speech recognition test and a questionnaire. Cochlear Implants Int 2017;18:76–88. 10.1080/14670100.2017.1279728
    1. Vroegop JL, Dingemanse JG, van der Schroeff MP, et al. . Self-Adjustment of Upper Electrical Stimulation Levels in CI Programming and the Effect on Auditory Functioning. Ear Hear 2017;38:e232–40. 10.1097/AUD.0000000000000404
    1. The Society for the Study of Artificial Intelligence and Simulation of Behaviour. Introduction to the LifeGuide: software facilitating the development of interactive behaviour change internet interventions. Edinburgh: The Society for the Study of Artificial Intelligence and Simulation of Behaviour, 2009.
    1. Hibbard JH, Mahoney ER, Stockard J, et al. . Development and testing of a short form of the patient activation measure. Health Serv Res 2005;40(6 Pt 1):1918–30. 10.1111/j.1475-6773.2005.00438.x
    1. Hibbard JH, Stockard J, Mahoney ER, et al. . Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res 2004;39(4 Pt 1):1005–26. 10.1111/j.1475-6773.2004.00269.x
    1. Bench J, Kowal A, Bamford J. The BKB (Bamford-Kowal-Bench) sentence lists for partially-hearing children. Br J Audiol 1979;13:108–12. 10.3109/03005367909078884
    1. Cullington HE, Aidi T. Is the digit triplet test an effective and acceptable way to assess speech recognition in adults using cochlear implants in a home environment? Cochlear Implants Int 2017;18:97–105. 10.1080/14670100.2016.1273435
    1. Gatehouse S, Noble W. The Speech, Spatial and Qualities of Hearing Scale (SSQ). Int J Audiol 2004;43:85–99. 10.1080/14992020400050014
    1. Feeny D, Furlong W, Boyle M, et al. . Multi-attribute health status classification systems. Health Utilities Index. Pharmacoeconomics 1995;7:490–502.
    1. Feeny D, Furlong W, Torrance GW, et al. . Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Med Care 2002;40:113–28. 10.1097/00005650-200202000-00006
    1. Saghaei M, Saghaei S. Implementation of an open-source customizable minimization program for allocation of patients to parallel groups in clinical trials. J Biomed Sci Eng 2011;04:734–9. 10.4236/jbise.2011.411090
    1. Taves DR. Minimization: a new method of assigning patients to treatment and control groups. Clin Pharmacol Ther 1974;15:443–53. 10.1002/cpt1974155443
    1. Pocock SJ, Simon R. Sequential treatment assignment with balancing for prognostic factors in the controlled clinical trial. Biometrics 1975;31:103–15. 10.2307/2529712
    1. Office for National Statistics. Statistical bulletin: Internet users in the UK. London: Office for National Statistics, 2017.
    1. Han B, Enas NH, McEntegart D. Randomization by minimization for unbalanced treatment allocation. Stat Med 2009;28:3329–46. 10.1002/sim.3710
    1. Wetherill GB, Levitt H. Sequential estimation of points on a psychometric function. Br J Math Stat Psychol 1965;18:1–10. 10.1111/j.2044-8317.1965.tb00689.x
    1. Smith D, Harvey P, Lawn S, et al. . Measuring chronic condition self-management in an Australian community: factor structure of the revised Partners in Health (PIH) scale. Qual Life Res 2017;26:149–59. 10.1007/s11136-016-1368-5
    1. Kitterick PT, Fackrell K, Cullington HE. Measuring empowerment in adult cochlear implant users - The development of the CI-EMP questionnaire [poster]. London: British Cochlear Implant Group Meeting, 2016.
    1. Elwyn G, Frosch D, Thomson R, et al. . Shared decision making: a model for clinical practice. J Gen Intern Med 2012;27:1361–7. 10.1007/s11606-012-2077-6

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