Literature DB >> 29498181

Implementing collaborative care for glaucoma patients and suspects in Australia.

Jessie Huang1,2, Michael P Hennessy1,3, Michael Kalloniatis1,2, Barbara Zangerl1,2.   

Abstract

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Year:  2018        PMID: 29498181      PMCID: PMC6231046          DOI: 10.1111/ceo.13187

Source DB:  PubMed          Journal:  Clin Exp Ophthalmol        ISSN: 1442-6404            Impact factor:   4.207


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Owing to a growing and ageing population, the number of Australians living with chronic eye conditions such as glaucoma and ocular hypertension is projected to increase.1 The current unmet demand for public hospital ophthalmology appointments has caused waiting periods for routine, non‐urgent referrals to often exceed 12 months.2 Similar challenges identified in the United Kingdom and New Zealand were addressed through the development of collaborative care schemes.3, 4 In Australia, a hybrid model of collaborative care was developed between ophthalmologists (Prince of Wales Hospital) and optometrists (Centre for Eye Health) in 2015 in the establishment of a Glaucoma Management Clinic (GMC), which accepts referral of patients requiring confirmation of suspected glaucoma diagnosis or ongoing management of previously diagnosed glaucoma. In consideration of the Royal Australian and New Zealand College of Ophthalmologists (RANZCO) guidelines for collaborative care published in 2014,5 the clinic was designed to deliver a stratified model of care. Specifically, following initial examination, patients are classified according to severity and stability of glaucoma and assigned the most appropriate management, either shared care or ophthalmology care. We conducted a prospective study of patients presenting for initial examination and providing written consent during the GMC's initial 18 months of operation. Patient examination records were reviewed with respect to their suitability for collaborative care according to professional guidelines.5 Initial clinical assessment at the GMC included testing of visual acuity and visual field (central threshold 24‐2 SITA standard) performed by a technician; measurements of applanation intraocular pressure, central corneal thickness, imaging of the optic nerve and macula with stereoscopic photography and also optical coherence tomography by an optometrist; and examination of the anterior and posterior eye with slit‐lamp biomicroscopy, gonioscopy and funduscopy by an ophthalmologist. At this visit, an ophthalmologist confirmed patient diagnosis (glaucoma, suspect or normal) and management plan (discharge to referring optometrist, review in GMC shared care, review by GMC ophthalmologist or referral to external ophthalmologist). Patient characteristics were collected from the ‘worse’ eye, defined by lower mean deviation in visual field results or, if unreliable, the eye with the higher intraocular pressure. Residential postcodes were used to estimate distances travelled to the clinic. Waiting time was defined as the number of days between referral and examination dates, excluding postponed appointments at the patient's request (n = 9) or administrative delays due to insufficient contact information (n = 5). For patients who had previously attended another practitioner for glaucoma management, reasons for switching to the GMC were extracted from the referral or examination records. Overall, 188 patients with a mean ± SD age of 59.9 ± 12.0 years were included in this study. Patients waited, on average, 43.4 ± 20.1 days for an appointment. 27.1% (51/188) of the patients resided within 10 km of the clinic, whereas 33.5% (63/188) travelled between 10 and 25 km and a further 39.4% (74/188) travelled distances exceeding 25 km. Patient diagnoses (Table 1) included 51% (95/188) glaucoma cases, 41% (78/188) glaucoma suspects, 6% (12/188) unaffected patients and 2% (3/188) with other optic neuropathies. The predominant glaucoma diagnosis was primary open angle glaucoma (90%) with smaller proportions of patients with secondary open angle or primary angle closure types (Fig. 1).
Table 1

Clinical characteristics of patients according to diagnosis

Diagnosis n (%)Age, years, mean ± SDIOP, mmHg, median (IQR)CCT, μm, mean ± SDMD, dB, median (IQR)
Glaucoma95 (51)62.4 ± 11.618 (16, 22) 552 ± 35−3.08 (−5.07, −1.64)
Suspects78 (41)57.4 ± 12.118 (15, 20)563 ± 32−1.14 (−2.73, −0.14)
Normal12 (6)57.0 ± 13.115 (13, 17)559 ± 41−0.53 (−1.91, 0.20)

Includes patients on topical treatment.

CCT, central corneal thickness; IOP, intraocular pressure; IQR, interquartile range; MD, mean deviation.

Figure 1

Diagnosis according to the type of glaucoma diagnosed and suspected. Primary open angle was the most common type across glaucoma patients (n = 85) and glaucoma suspects (n = 64). Causes of secondary open angle included pseudoexfoliation, pigment dispersion or trauma. The primary angle closure group included patients with prior treatment.

Clinical characteristics of patients according to diagnosis Includes patients on topical treatment. CCT, central corneal thickness; IOP, intraocular pressure; IQR, interquartile range; MD, mean deviation. Diagnosis according to the type of glaucoma diagnosed and suspected. Primary open angle was the most common type across glaucoma patients (n = 85) and glaucoma suspects (n = 64). Causes of secondary open angle included pseudoexfoliation, pigment dispersion or trauma. The primary angle closure group included patients with prior treatment. Based on RANZCO guidelines, 20 (11%) patients were unsuitable for collaborative care and were on‐referred into ophthalmological care. Reasons included monocular status (n = 3), advanced glaucoma with visual field mean deviation exceeding −12 dB (n = 4), traumatic glaucoma with angle recession (n = 2) and co‐morbidities that required further ophthalmological investigations for cataract assessment (n = 5) or neuroimaging (n = 6). Sixty‐four patients were previously managed by another practitioner, including ophthalmologist (83%, n = 53), general medical practitioner (11%, n = 7) or optometrist (6%, n = 4). The most commonly reported reason for seeking transfer of care to the GMC was financial constraint (58%, n = 37), possibly reflecting the estimated 8% of Australians who delay or forgo medical specialist appointments due to cost.6 Other reasons (42%, n = 27) included recommendation by the referrer or dissatisfaction with the previous practitioner. Geographical distances travelled by patients reporting financial constraints were not significantly different to patients who reported other reasons for seeking transfer to the GMC (t‐test, P = 0.48). Access to appropriate care by patients is influenced by a multitude of factors and, in Australia, glaucoma care provided in either public or private clinics is currently burdened with unique barriers. As successful implementation of new collaborative care schemes have been highly dependent on contextual factors,3 this study provided unique results. The investigated hybrid collaborative care clinic presents a new pathway for managing glaucoma and our study confirmed the suitability of the majority of patients referred for collaborative care. The clinic provided timely patient management with a median wait time of 43 days. However, the clinic's accessibility may be limited by the geographical location, with 39.4% of patients having to travel in excess of 25 km. Future expansion of the clinic's services to involve shared care by community optometrists could reduce patient travel time and help minimize current hurdles to appropriate and timely eye care.
  4 in total

1.  Guidelines for the collaborative care of glaucoma patients and suspects by ophthalmologists and optometrists in Australia.

Authors:  Andrew White; Ivan Goldberg
Journal:  Clin Exp Ophthalmol       Date:  2014-01-23       Impact factor: 4.207

2.  Collaborative glaucoma care.

Authors:  Verona E Botha; John Ah-Chan; Siok Khim Taylor; Peiyun Wang
Journal:  Clin Exp Ophthalmol       Date:  2015-02-02       Impact factor: 4.207

Review 3.  Effectiveness of UK optometric enhanced eye care services: a realist review of the literature.

Authors:  Helen Baker; Gokulan Ratnarajan; Robert A Harper; David F Edgar; John G Lawrenson
Journal:  Ophthalmic Physiol Opt       Date:  2016-09       Impact factor: 3.117

4.  Projected number of Australians with glaucoma in 2000 and 2030.

Authors:  E Rochtchina; P Mitchell
Journal:  Clin Exp Ophthalmol       Date:  2000-06       Impact factor: 4.207

  4 in total
  6 in total

1.  Glaucoma Community Care: Does Ongoing Shared Care Work?

Authors:  Angelica Ly; Elizabeth Wong; Jessie Huang; Michael Yapp; Katherine Masselos; Michael Hennessy; Michael Kalloniatis; Barbara Zangerl
Journal:  Int J Integr Care       Date:  2020-08-07       Impact factor: 5.120

2.  Application of Pattern Recognition Analysis to Optimize Hemifield Asymmetry Patterns for Early Detection of Glaucoma.

Authors:  Jack Phu; Sieu K Khuu; Bang V Bui; Michael Kalloniatis
Journal:  Transl Vis Sci Technol       Date:  2018-09-04       Impact factor: 3.283

3.  Improving Patient Access and Reducing Costs for Glaucoma with Integrated Hospital and Community Care: A Case Study from Australia.

Authors:  Belinda K Ford; Blake Angell; Gerald Liew; Andrew J R White; Lisa J Keay
Journal:  Int J Integr Care       Date:  2019-11-06       Impact factor: 5.120

4.  Glaucoma Suspects: The Impact of Risk Factor-Driven Review Periods on Clinical Load, Diagnoses, and Healthcare Costs.

Authors:  Jack Phu; Katherine Masselos; Michael Sullivan-Mee; Michael Kalloniatis
Journal:  Transl Vis Sci Technol       Date:  2022-01-03       Impact factor: 3.283

5.  Review of referrals reveal the impact of referral content on the triage and management of ophthalmology wait lists.

Authors:  Vincent Khou; Angelica Ly; Lindsay Moore; Maria Markoulli; Michael Kalloniatis; Michael Yapp; Michael Hennessy; Barbara Zangerl
Journal:  BMJ Open       Date:  2021-09-07       Impact factor: 2.692

6.  Remote Grading of the Anterior Chamber Angle Using Goniophotographs and Optical Coherence Tomography: Implications for Telemedicine or Virtual Clinics.

Authors:  Jack Phu; Henrietta Wang; Vincent Khou; Sophia Zhang; Michael Kalloniatis
Journal:  Transl Vis Sci Technol       Date:  2019-09-25       Impact factor: 3.283

  6 in total

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