ORCID Profile
0000-0003-1990-9831
Current Organisation
The University of Newcastle
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Publisher: Springer Science and Business Media LLC
Date: 04-2021
DOI: 10.1186/S12889-021-10685-0
Abstract: An amendment to this paper has been published and can be accessed via the original article.
Publisher: Springer Science and Business Media LLC
Date: 17-01-2022
DOI: 10.1186/S13063-021-05971-6
Abstract: People with a mental health condition have a shorter life expectancy than the general population. This is largely attributable to higher rates of chronic disease and a higher prevalence of modifiable health risk behaviours including tobacco smoking, alcohol consumption, poor nutrition, and physical inactivity. Telephone support services offer a viable option to provide support to reduce these health risk behaviours at a population-level however, whilst there is some research pertaining to Quitlines, there is limited other research investigating whether telephone services may offer effective support for people with a mental health condition. This protocol describes a randomised controlled trial that aims to evaluate the referral of people with a mental health condition to a population-level telephone coaching service to increase physical activity, healthy eating, or weight management, and increase attempts to do so. A parallel-group randomised controlled trial will be conducted recruiting participants with a mental health condition through community mental health services and advertisement on social media. Participants will be randomly assigned to receive either a health information pack only (control) or a health information pack and a proactive referral to a free, government-funded telephone coaching service, the NSW Get Healthy Coaching and Information Service® (intervention), which offers up to 13 telephone coaching calls with a University Qualified Health Coach to assist with client-identified goals relating to physical activity, healthy eating, weight management, or alcohol reduction. Data will be collected via telephone surveys at baseline and 6 months post-recruitment. Primary outcomes are as follows: (1) minutes of moderate to vigorous physical activity per week, (2) serves of fruit consumed per day, (3) serves of vegetables consumed per day, and (4) a composite measure assessing attempts to change at least one health risk behaviour (any attempts to change physical activity, fruit consumption, vegetable consumption, or other parts of nutrition). Secondary outcomes include weight and body mass index. This study is the first to evaluate the effectiveness of referral to a population-level telephone support service for reducing health risk behaviours relating to physical activity, healthy eating, and weight in people with a mental health condition. Results will inform future policy and practice regarding the delivery of telephone-based behaviour change coaching services and the management of physical health for this population to reduce health inequity and the burden of chronic disease. The Australian New Zealand Clinical Trials Registry ACTRN12620000351910 . Retrospectively registered on 12 March 2020
Publisher: SAGE Publications
Date: 14-05-2020
Abstract: Clinical practice guidelines recommend that community mental health services provide preventive care for clients’ chronic disease risk behaviours however, such care is often not routinely provided. This study aimed to assess the effectiveness of offering clients an additional consultation with a specialist clinician embedded within a community mental health service, in increasing client-reported receipt of, and satisfaction with, preventive care. A randomised controlled trial was undertaken in one Australian community mental health service. Participants ( N = 811) were randomised to receive usual care (preventive care in routine consultations n = 405) or usual care plus the offer of an additional consultation with a specialist preventive care clinician ( n = 406). Blinded interviewers assessed at baseline and 1-month follow-up the client-reported receipt of preventive care (assessment, advice and referral) for four key risk behaviours in idually (smoking, poor nutrition, alcohol overconsumption and physical inactivity) and all applicable risks combined, acceptance of referrals and satisfaction with preventive care received. Analyses indicated significantly greater increases in 12 of the 18 preventive care delivery outcomes in the intervention compared to the usual care condition from baseline to follow-up, including assessment for all risks combined (risk ratio = 4.00 95% confidence interval = [1.57, 10.22]), advice for all applicable risks combined (risk ratio = 2.40 95% confidence interval = [1.89, 6.47]) and offer of referral to applicable telephone services combined (risk ratio = 20.13 95% confidence interval = [2.56, 158.04]). For each component of care, there was a significant intervention effect for at least one of the in idual risk behaviours. Participants reported high levels of satisfaction with preventive care received, ranging from 77% (assessment) to 87% (referral), with no significant differences between conditions. The intervention had a significant effect on the provision of the majority of recommended elements of preventive care. Further research is needed to maximise its impact, including identifying strategies to increase client uptake.
Publisher: Springer Science and Business Media LLC
Date: 30-04-2018
Publisher: Springer Science and Business Media LLC
Date: 11-05-2020
DOI: 10.1186/S12913-020-05204-7
Abstract: Clinical practice guidelines and policies direct community mental health services to provide preventive care to address chronic disease risks, however, such care is infrequently provided in routine consultations. An alternative model of care is to appoint a clinician to the dedicated role of offering and providing preventive care in an additional consultation: the ‘specialist clinician’ model. Economic evaluations of models of care are needed to determine the cost of adhering to guidelines and policies, and to inform pragmatic service delivery decisions. This study is an economic evaluation of the specialist clinician model designed to achieve policy concordant preventive care delivery. A retrospective analysis of the incremental costs, cost-effectiveness, and budget impact of a ‘specialist preventive care clinician’ (an occupational therapist) was conducted in a randomised controlled trial, where participants were randomised to receive usual care or usual care plus the offer of an additional preventive care consultation with the specialist clinician. The study outcome was client acceptance of referrals to two free telephone-based chronic disease prevention services. This is a key care delivery outcome mandated by the local health district policy of the service. The base case analysis assumed the mental health service cost perspective. A budget impact analysis determined the annual budget required to implement the model of care for all clients of the community mental health service over 5 years. There was a significantly greater increase from baseline to follow-up in the proportion of intervention participants accepting referrals to both telephone services, compared to usual care. The incremental cost-effectiveness ratio was $347 per additional acceptance of a referral (CI: $263–$494). The annual budget required to implement the model of care for all prospective clients was projected to be $711,446 over 5-years resulting in 2616 accepted referrals. The evaluation provides key information regarding the costs for the mental health service to adhere to policy targets, indicating the model of care involved a low per client cost whilst increasing key preventive care delivery outcomes. Additional modelling is required to further explore its economic benefits. ACTRN12616001519448. Registered 3 November 2016, www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371709 .
Publisher: Elsevier BV
Date: 09-2020
Publisher: Oxford University Press (OUP)
Date: 10-11-2016
DOI: 10.1093/NTR/NTW249
Publisher: Elsevier BV
Date: 12-2020
Publisher: Elsevier BV
Date: 06-2021
Publisher: Springer Science and Business Media LLC
Date: 06-03-2021
DOI: 10.1186/S12889-021-10504-6
Abstract: Poor sleep and poor mental health go hand in hand and, together, can have an adverse impact on physical health. Given the already disproportionate physical health inequities experienced by people with a mental health condition worldwide, the need to consider and optimise sleep has been highlighted as a means of improving both physical and mental health status. Sleep recommendations recently developed by the United States’ National Sleep Foundation incorporate a range of sleep parameters and enable the identification of ‘suboptimal’ sleep. Among community-dwelling persons with and without a 12-month mental health condition in Australia, this study reports: [1] the prevalence of ‘suboptimal’ sleep and [2] rates of sleep assessment by a health care clinician/service and receipt of and desire for sleep treatment. A descriptive study ( N = 1265) was undertaken using self-report data derived from a cross-sectional telephone survey of Australian adults, undertaken in 2017. Fifteen per cent ( n = 184) of participants identified as having a mental health condition in the past 12 months. Across most (7 of 8) sleep parameters, the prevalence of suboptimal sleep was higher among people with a mental health condition, compared to those without (all p 0.05). The highest prevalence of suboptimal sleep for both groups was seen on measures of sleep duration (36–39% and 17–20% for people with and without a mental health condition, respectively). In terms of sleep assessment and treatment, people with a mental health condition were significantly more likely to: desire treatment (37% versus 16%), have been assessed (38% versus 12%) and have received treatment (30% versus 7%). The prevalence of suboptimal sleep among persons with a mental health condition in Australia is significantly higher than those without such a condition, and rates of assessment and treatment are low for both groups, but higher for people with a mental health condition. Population health interventions, including those delivered as part of routine health care, addressing suboptimal sleep are needed.
Publisher: Springer Science and Business Media LLC
Date: 15-06-2017
Publisher: Elsevier BV
Date: 06-2020
No related grants have been discovered for Caitlin Fehily.