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Siminiuc D, Gumuskaya O, Mitchell R, Bell J, Cameron ID, Hallen J, Birkenhead K, Hurring S, Baxter B, Close J, Sheehan KJ, Johansen A, Chehade MJ, Sherrington C, Balogh ZJ, Taylor ME, Sarkies M. Rehabilitation after surgery for hip fracture - the impact of prompt, frequent and mobilisation-focused physiotherapy on discharge outcomes: an observational cohort study. BMC Geriatr 2024; 24:629. [PMID: 39044173 PMCID: PMC11264512 DOI: 10.1186/s12877-024-05206-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 07/05/2024] [Indexed: 07/25/2024] Open
Abstract
PURPOSE To determine the relationship between three postoperative physiotherapy activities (time to first postoperative walk, activity on the day after surgery, and physiotherapy frequency), and the outcomes of hospital length of stay (LOS) and discharge destination after hip fracture. METHODS A cohort study was conducted on 437 hip fracture surgery patients aged ≥ 50 years across 36 participating hospitals from the Australian and New Zealand Hip Fracture Registry Acute Rehabilitation Sprint Audit during June 2022. Study outcomes included hospital LOS and discharge destination. Generalised linear and logistic regressions were used respectively, adjusted for potential confounders. RESULTS Of 437 patients, 62% were female, 56% were aged ≥ 85 years, 23% were previously living in a residential aged care facility, 48% usually walked with a gait aid, and 38% were cognitively impaired prior to their injury. The median acute and total LOS were 8 (IQR 5-13) and 20 (IQR 8-38) days. Approximately 71% (n = 179/251) of patients originally living in private residence returned home and 29% (n = 72/251) were discharged to a residential aged care facility. Previously mobile patients had a higher total LOS if they walked day 2-3 (10.3 days; 95% CI 3.2, 17.4) or transferred with a mechanical lifter or did not get out of bed day 1 (7.6 days; 95% CI 0.6, 14.6) compared to those who walked day 1 postoperatively. Previously mobile patients from private residence had a reduced odds of return to private residence if they walked day 2-3 (OR 0.38; 95% CI 0.17, 0.87), day 4 + (OR 0.38; 95% CI 0.15, 0.96), or if they only sat, stood or stepped on the spot day 1 (OR 0.29; 95% CI 0.13, 0.62) when compared to those who walked day 1 postoperatively. Among patients from private residence, each additional physiotherapy session per day was associated with a -2.2 (95% CI -3.3, -1.0) day shorter acute LOS, and an increased log odds of return to private residence (OR 1.76; 95% CI 1.02, 3.02). CONCLUSION Hip fracture patients who walked earlier, were more active day 1 postoperatively, and/or received a higher number of physiotherapy sessions were more likely to return home after a shorter LOS.
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Affiliation(s)
- Daniel Siminiuc
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Susan Wakil Health Building, Level 7 D18Western Avenue NSW 2006, Camperdown, Australia
| | - Oya Gumuskaya
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Susan Wakil Health Building, Level 7 D18Western Avenue NSW 2006, Camperdown, Australia
| | - Rebecca Mitchell
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, 2109, Sydney, Australia
| | - Jack Bell
- Allied Health Research Collaborative, The Prince Charles Hospital, QLD, 4032, Chermside, Australia
| | - Ian D Cameron
- Faculty of Medicine and Health, John Walsh Centre for Rehabilitation Research, Kolling Institute, Northern Sydney Local Health Districtand, University of Sydney, NSW, 2064, St Leonards, Australia
| | - Jamie Hallen
- Neuroscience Research Australia, University of New South Wales, NSW, 2031, Randwick, Australia
| | - Karen Birkenhead
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Susan Wakil Health Building, Level 7 D18Western Avenue NSW 2006, Camperdown, Australia
- Implementation Science Academy, Sydney Health Partners, NSW, Camperdown, Australia
| | - Sarah Hurring
- Te Whatu Ora Waitaha Canterbury, Christchurch, New Zealand
| | - Brett Baxter
- Physiotherapy Department, Princess Alexandra Hospital, QLD, 4102, Woolloongabba, Australia
| | - Jacqueline Close
- Neuroscience Research Australia, University of New South Wales, NSW, 2031, Randwick, Australia
- School of Clinical Medicine, University of New South Wales, NSW, 2052, Sydney, Australia
| | - Katie J Sheehan
- Bone & Joint Health, Blizard Institute, Queen Mary University of London, London, UK
| | - Antony Johansen
- School of Medicine, University Hospital of Walesand, Cardiff University, Cardiff, UK
| | - Mellick J Chehade
- Discipline of Orthopaedics and Trauma, Royal Adelaide Hospital, The University of Adelaide, Adelaide, SA, 5005, Australia
| | - Catherine Sherrington
- Institute for Musculoskeletal Health, The University of Sydneyand, Sydney Local Health District, Gadigal Land, NSW, 2006, Sydney, Australia
- Sydney School of Public Health and, Faculty of Medicine and Health, Sydney Musculoskeletal Health, The University of Sydney, Gadigal Land, NSW, 2006, Sydney, Australia
| | - Zsolt J Balogh
- Department of Traumatology, Trauma and Injury Research Program, John Hunter Hospital and University of Newcastle, Hunter Medical Research Institute, NSW, Newcastle, Australia
| | - Morag E Taylor
- Neuroscience Research Australia, University of New South Wales, NSW, 2031, Randwick, Australia
| | - Mitchell Sarkies
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Susan Wakil Health Building, Level 7 D18Western Avenue NSW 2006, Camperdown, Australia.
- Australian Institute of Health Innovation, Macquarie University, Macquarie Park, NSW, 2109, Sydney, Australia.
- Implementation Science Academy, Sydney Health Partners, NSW, Camperdown, Australia.
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Sarkies M, Jones LK, Pang J, Sullivan D, Watts GF. How Can Implementation Science Improve the Care of Familial Hypercholesterolaemia? Curr Atheroscler Rep 2023; 25:133-143. [PMID: 36806760 PMCID: PMC10027803 DOI: 10.1007/s11883-023-01090-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/03/2023] [Indexed: 02/23/2023]
Abstract
PURPOSE OF REVIEW Describe the application of implementation science to improve the detection and management of familial hypercholesterolaemia. RECENT FINDINGS Gaps between evidence and practice, such as underutilization of genetic testing, family cascade testing, failure to achieve LDL-cholesterol goals and low levels of knowledge and awareness, have been identified through clinical registry analyses and clinician surveys. Implementation science theories, models and frameworks have been applied to assess barriers and enablers in the literature specific to local contextual factors (e.g. stages of life). The effect of implementation strategies to overcome these factors has been evaluated; for example, automated identification of individuals with FH or training and education to improve statin adherence. Clinical registries were identified as a key infrastructure to monitor, evaluate and sustain improvements in care. The expansion in evidence supporting the care of familial hypercholesterolaemia requires a similar expansion of efforts to translate new knowledge into clinical practice.
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Affiliation(s)
- Mitchell Sarkies
- School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, 2006, Australia.
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia.
| | - Laney K Jones
- Department of Genomic Health, Research Institute, Geisinger, Danville, PA, USA
- Heart and Vascular Institute, Geisinger, Danville, PA, USA
| | - Jing Pang
- School of Medicine, University of Western Australia, Perth, WA, Australia
| | - David Sullivan
- Department of Chemical Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Gerald F Watts
- School of Medicine, University of Western Australia, Perth, WA, Australia
- Lipid Disorders Clinic, Department of Cardiology, Royal Perth Hospital, Perth, WA, Australia
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Pu D, Bonnici R, Shorr R, Haines T. Digital storytelling to facilitate consumer engagement in healthcare research. Health Promot J Austr 2021; 33:758-767. [PMID: 34923697 DOI: 10.1002/hpja.565] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 11/25/2021] [Accepted: 12/13/2021] [Indexed: 11/11/2022] Open
Abstract
ISSUES ADDRESSED Consumer engagement in healthcare research presents with challenges, one of which is ensuring that the consumers have comprehended the often complex concepts in scientific research. This study aimed to compare how well older adult consumers understood video-based versus written and verbal description approaches to provision of information. METHODS Twenty adults in the community aged 60 years and older were recruited for this study; half were randomised to receive the information via a digital story, and the other half received the same information from a written brief. Both mediums were presented via video teleconferencing. An interviewer was present to ask questions and address queries. RESULTS Participants who viewed the digital story requested for clarifications less frequently compared to those who received the written brief. Difficulty in understanding the information rose with complexity, but providing concrete examples aided comprehension of the information. CONCLUSIONS Complex concepts benefit from the provision of concrete examples to facilitate understanding. Video-based approaches to provision of information are acceptable forms of participant engagement in research and require less human resources to successfully convey key information and facilitate understanding of the information. Research procedures that employ large amounts of data collection and/or asynchronous methods should consider the use of video-based approaches, such as digital stories, to increase cost-effectiveness.
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Affiliation(s)
- Dai Pu
- National Centre for Healthy Ageing and School of Primary and Allied Healthcare, Monash University Peninsula Campus, Frankston, Victoria, Australia
| | - Rachel Bonnici
- National Centre for Healthy Ageing and School of Primary and Allied Healthcare, Monash University Peninsula Campus, Frankston, Victoria, Australia
| | - Ronald Shorr
- Geriatric Research Education and Clinical Center, Malcolm Randall Veterans Affairs Medical Center, Gainesville, Florida, USA.,Department of Epidemiology, University of Florida, Gainesville, Florida, USA
| | - Terry Haines
- National Centre for Healthy Ageing and School of Primary and Allied Healthcare, Monash University Peninsula Campus, Frankston, Victoria, Australia
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Sarkies MN, Robins LM, Jepson M, Williams CM, Taylor NF, O’Brien L, Martin J, Bardoel A, Morris ME, Carey LM, Holland AE, Long KM, Haines TP. Effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial. PLoS Med 2021; 18:e1003833. [PMID: 34679090 PMCID: PMC8570499 DOI: 10.1371/journal.pmed.1003833] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 11/05/2021] [Accepted: 10/04/2021] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Implementing evidence into clinical practice is a key focus of healthcare improvements to reduce unwarranted variation. Dissemination of evidence-based recommendations and knowledge brokering have emerged as potential strategies to achieve evidence implementation by influencing resource allocation decisions. The aim of this study was to determine the effectiveness of these two research implementation strategies to facilitate evidence-informed healthcare management decisions for the provision of inpatient weekend allied health services. METHODS AND FINDINGS This multicentre, single-blinded (data collection and analysis), three-group parallel cluster randomised controlled trial with concealed allocation was conducted in Australian and New Zealand hospitals between February 2018 and January 2020. Clustering and randomisation took place at the organisation level where weekend allied health staffing decisions were made (e.g., network of hospitals or single hospital). Hospital wards were nested within these decision-making structures. Three conditions were compared over a 12-month period: (1) usual practice waitlist control; (2) dissemination of written evidence-based practice recommendations; and (3) access to a webinar-based knowledge broker in addition to the recommendations. The primary outcome was the alignment of weekend allied health provision with practice recommendations at the cluster and ward levels, addressing the adoption, penetration, and fidelity to the recommendations. The secondary outcome was mean hospital length of stay at the ward level. Outcomes were collected at baseline and 12 months later. A total of 45 clusters (n = 833 wards) were randomised to either control (n = 15), recommendation (n = 16), or knowledge broker (n = 14) conditions. Four (9%) did not provide follow-up data, and no adverse events were recorded. No significant effect was found with either implementation strategy for the primary outcome at the cluster level (recommendation versus control β 18.11 [95% CI -8,721.81 to 8,758.02] p = 0.997; knowledge broker versus control β 1.24 [95% CI -6,992.60 to 6,995.07] p = 1.000; recommendation versus knowledge broker β -9.12 [95% CI -3,878.39 to 3,860.16] p = 0.996) or ward level (recommendation versus control β 0.01 [95% CI 0.74 to 0.75] p = 0.983; knowledge broker versus control β -0.12 [95% CI -0.54 to 0.30] p = 0.581; recommendation versus knowledge broker β -0.19 [-1.04 to 0.65] p = 0.651). There was no significant effect between strategies for the secondary outcome at ward level (recommendation versus control β 2.19 [95% CI -1.36 to 5.74] p = 0.219; knowledge broker versus control β -0.55 [95% CI -1.16 to 0.06] p = 0.075; recommendation versus knowledge broker β -3.75 [95% CI -8.33 to 0.82] p = 0.102). None of the control or knowledge broker clusters transitioned to partial or full alignment with the recommendations. Three (20%) of the clusters who only received the written recommendations transitioned from nonalignment to partial alignment. Limitations include underpowering at the cluster level sample due to the grouping of multiple geographically distinct hospitals to avoid contamination. CONCLUSIONS Owing to a lack of power at the cluster level, this trial was unable to identify a difference between the knowledge broker strategy and dissemination of recommendations compared with usual practice for the promotion of evidence-informed resource allocation to inpatient weekend allied health services. Future research is needed to determine the interactions between different implementation strategies and healthcare contexts when translating evidence into healthcare practice. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12618000029291.
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Affiliation(s)
- Mitchell N. Sarkies
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, New South Wales, Australia
- Health Economics and Data Analytics Discipline, School of Public Health, Faculty of Health Sciences, Curtin University, Western Australia, Australia
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Lauren M. Robins
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Megan Jepson
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Cylie M. Williams
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Nicholas F. Taylor
- La Trobe Centre for Sport and Exercise Medicine Research, La Trobe University, Victoria, Australia
- Allied Health Clinical Research Office, Eastern Health, Victoria, Australia
| | - Lisa O’Brien
- Department Occupational Therapy, School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Jenny Martin
- Department of Social Work and Human Services, School of Arts, Federation University Australia, Victoria, Australia
| | - Anne Bardoel
- Department of Management and Marketing, Swinburne University of Technology, Victoria, Australia
| | - Meg E. Morris
- La Trobe Centre for Sport and Exercise Medicine Research, La Trobe University, Victoria, Australia
- Healthscope Academic and Research Collaborative in Health, Victorian Rehabilitation Centre, Glen Waverly, Victoria, Australia
| | - Leeanne M. Carey
- Occupational Therapy, School of Allied Health, Human Services and Sport, La Trobe University, Victoria, Australia
- Neurorehabilitation and Recovery, The Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, Victoria, Australia
| | - Anne E. Holland
- Department of Allergy, Immunology and Respiratory Medicine, Monash University, Victoria, Australia
- Department of Physiotherapy, Alfred Health, Victoria, Australia
| | - Katrina M. Long
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
| | - Terry P. Haines
- School of Primary and Allied Health Care, Monash University, Victoria, Australia
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Jepson M, Sarkies M, Haines T. Variation in inpatient allied health service provision in Australian and New Zealand hospitals. Australas J Ageing 2021; 41:70-80. [PMID: 34346159 DOI: 10.1111/ajag.12988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 06/24/2021] [Accepted: 07/05/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To describe the variability of allied health services on weekends, relative to weekdays, throughout Australian and New Zealand hospitals. METHODS A prospective, cross-sectional observational study embedded within a cluster randomised control trial. Allied health managers provided administrative data relating to allied health service events. RESULTS In one month, there were a total of 243 549 allied health service events recorded from 91 sampled hospitals. The mean difference between weekday and weekend allied health service events (daily, per ward) for physiotherapy was 6.52 (95% CI 5.65 to 7.40), acute wards 12.03 (95% CI 10.25 to 13.82) and for metropolitan hospitals 14.47 (95% CI 12.22 to 16.73), revealing more allied health service events of longer duration on weekdays compared to weekends. CONCLUSIONS This research is the first of its kind to describe variation in allied health service provision and potential research to practice gaps across weekday and weekend days in various inpatient settings.
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Affiliation(s)
- Megan Jepson
- Department of Paramedicine, Monash University Peninsula Campus, Melbourne, Vic., Australia.,School of Primary and Allied Health Care, Monash University Peninsula Campus, Melbourne, Vic., Australia
| | - Mitchell Sarkies
- School of Primary and Allied Health Care, Monash University Peninsula Campus, Melbourne, Vic., Australia.,Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Melbourne, NSW, Australia
| | - Terry Haines
- School of Primary and Allied Health Care, Monash University Peninsula Campus, Melbourne, Vic., Australia
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Sarkies M, Robinson S, Ludwick T, Braithwaite J, Nilsen P, Aarons G, Weiner BJ, Moullin J. Understanding implementation science from the standpoint of health organisation and management: an interdisciplinary exploration of selected theories, models and frameworks. J Health Organ Manag 2021. [DOI: 10.1108/jhom-02-2021-0056] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
PurposeAs a discipline, health organisation and management is focused on health-specific, collective behaviours and activities, whose empirical and theoretical scholarship remains under-utilised in the field of implementation science. This under-engagement between fields potentially constrains the understanding of mechanisms influencing the implementation of evidence-based innovations in health care. The aim of this viewpoint article is to examine how a selection of theories, models and frameworks (theoretical approaches) have been applied to better understand phenomena at the micro, meso and macro systems levels for the implementation of health care innovations. The purpose of which is to illustrate the potential applicability and complementarity of embedding health organisation and management scholarship within the study of implementation science.Design/methodology/approachThe authors begin by introducing the two fields, before exploring how exemplary theories, models and frameworks have been applied to study the implementation of innovations in the health organisation and management literature. In this viewpoint article, the authors briefly reviewed a targeted collection of articles published in the Journal of Health Organization and Management (as a proxy for the broader literature) and identified the theories, models and frameworks they applied in implementation studies. The authors then present a more detailed exploration of three interdisciplinary theories and how they were applied across three different levels of health systems: normalization process theory (NPT) at the micro individual and interpersonal level; institutional logics at the meso organisational level; and complexity theory at the macro policy level. These examples are used to illustrate practical considerations when implementing change in health care organisations that can and have been used across various levels of the health system beyond these presented examples.FindingsWithin the Journal of Health Organization and Management, the authors identified 31 implementation articles, utilising 34 theories, models or frameworks published in the last five years. As an example of how theories, models and frameworks can be applied at the micro individual and interpersonal levels, behavioural theories originating from psychology and sociology (e.g. NPT) were used to guide the selection of appropriate implementation strategies or explain implementation outcomes based on identified barriers and enablers to implementing innovations of interest. Projects aiming to implement change at the meso organisational level can learn from the application of theories such as institutional logics, which help elucidate how relationships at the macro and micro-level have a powerful influence on successful or unsuccessful organisational action. At the macro policy level, complexity theory represented a promising direction for implementation science by considering health care organisations as complex adaptive systems.Originality/valueThis paper illustrates the utility of a range of theories, models and frameworks for implementation science, from a health organisation and management standpoint. The authors’ viewpoint article suggests that increased crossovers could contribute to strengthening both disciplines and our understanding of how to support the implementation of evidence-based innovations in health care.
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Sarkies MN, Robinson S, Briffa T, Duffy SJ, Nelson M, Beltrame J, Cullen L, Chew D, Smith J, Brieger D, Macdonald P, Liew D, Reid C. Applying a framework to assess the impact of cardiovascular outcomes improvement research. Health Res Policy Syst 2021; 19:67. [PMID: 33882947 PMCID: PMC8059028 DOI: 10.1186/s12961-021-00710-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Accepted: 03/21/2021] [Indexed: 01/06/2023] Open
Abstract
Background Health and medical research funding agencies are increasingly interested in measuring the impact of funded research. We present a research impact case study for the first four years of an Australian National Health and Medical Research Council funded Centre of Research Excellence in Cardiovascular Outcomes Improvement (2016–2020). The primary aim of this paper was to explore the application of a research impact matrix to assess the impact of cardiovascular outcomes improvement research. Methods We applied a research impact matrix developed from a systematic review of existing methodological frameworks used to measure research impact. This impact matrix was used as a bespoke tool to identify and understand various research impacts over different time frames. Data sources included a review of existing internal documentation from the research centre and publicly available information sources, informal iterative discussions with 10 centre investigators, and confirmation of information from centre grant and scholarship recipients. Results By July 2019, the impact on the short-term research domain category included over 41 direct publications, which were cited over 87 times (median journal impact factor of 2.84). There were over 61 conference presentations, seven PhD candidacies, five new academic collaborations, and six new database linkages conducted. The impact on the mid-term research domain category involved contributions towards the development of a national cardiac registry, cardiovascular guidelines, application for a Medicare Benefits Schedule reimbursement item number, introduction of patient-reported outcome measures into several databases, and the establishment of nine new industry collaborations. Evidence of long-term impacts were described as the development and use of contemporary management for aortic stenosis, a cardiovascular risk prediction model and prevention targets in several data registries, and the establishment of cost-effectiveness for stenting compared to surgery. Conclusions We considered the research impact matrix a feasible tool to identify evidence of academic and policy impact in the short- to midterm; however, we experienced challenges in capturing long-term impacts. Cost containment and broader economic impacts represented another difficult area of impact to measure. Supplementary Information The online version contains supplementary material available at 10.1186/s12961-021-00710-4.
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Affiliation(s)
- Mitchell N Sarkies
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, 75 Talavera Road, Sydney, NSW, 2109, Australia. .,Health Systems and Health Economics Group, Health Research and Data Analytics Hub, School of Public Health, Faculty of Health Sciences, Curtin University, Perth, Australia.
| | - Suzanne Robinson
- Health Systems and Health Economics Group, Health Research and Data Analytics Hub, School of Public Health, Faculty of Health Sciences, Curtin University, Perth, Australia
| | - Tom Briffa
- Faculty of Health and Medical Sciences, Population and Public Health, The University of Western Australia, Perth, Australia
| | - Stephen J Duffy
- Department of General Cardiology, Alfred Health, Melbourne, Australia.,Department of Epidemiology and Preventative Medicine, Monash University, Melbourne, Australia
| | - Mark Nelson
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - John Beltrame
- Discipline of Medicine, University of Adelaide, Adelaide, Australia.,Cardiology Department, Central Adelaide Local Health Network, Adelaide, Australia.,Cardiology Department, Lyell McEwin Hospital, Adelaide, Australia
| | - Louise Cullen
- Institute of Health and Biomedical Innovation and School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, Australia.,Emergency and Trauma Centre, Royal Brisbane and Women's Hospital, Brisbane, Australia.,School of Medicine, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Australia
| | - Derek Chew
- Department of Cardiovascular Medicine, Flinders University, Adelaide, Adelaide, Australia
| | - Julian Smith
- Department of Surgery (School of Clinical Sciences At Monash Health), Monash University, Melbourne, Australia.,Department of Cardiothoracic Surgery, Monash Health, Melbourne, Australia
| | - David Brieger
- Division of Cardiology, Concord Hospital and University of Sydney, Sydney, Australia
| | - Peter Macdonald
- St Vincent's Hospital, Victor Chang Cardiac Research Institute, University of New South Wales, Sydney, Australia
| | - Danny Liew
- Department of Epidemiology and Preventative Medicine, Monash University, Melbourne, Australia
| | - Chris Reid
- Department of Epidemiology and Preventative Medicine, Monash University, Melbourne, Australia.,NHMRC Centre for Research Excellence in Cardiovascular Outcomes Improvement, Health Research and Data Analytics Hub, School of Public Health, Faculty of Health Sciences, Curtin University, Perth, Australia
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David Sackett Young Investigator Award. J Clin Epidemiol 2020. [DOI: 10.1016/j.jclinepi.2020.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Knottnerus JA, Tugwell P. COVID-19, health inequities, and methodology's mission. J Clin Epidemiol 2020; 128:A6-A8. [PMID: 33228925 DOI: 10.1016/j.jclinepi.2020.10.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- J André Knottnerus
- Department of General Practice, Netherlands School of Primary Care Research, Maastricht University, P.O. Box 616, 6200 MD Maastricht, the Netherlands.
| | - Peter Tugwell
- Department of Medicine, School of Epidemiology and Public Health, University of Ottawa; Ottawa Hospital Research Institute, Bruyere Research Institute, Ottawa, ON, Canada
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