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5. Developing a Preliminary Conceptual Framework for Guidelines on Inclusion of Patient Reported-Outcome Measures (PROMs) in Clinical Quality Registries

Author

Ruseckaite R, Maharaj AD, Krysinska K, Dean J, and Ahern S

Subjects
quality of life, registry, outcomes, patient voice, Medicine (General), R5-920
Abstract

Rasa Ruseckaite, Ashika D Maharaj, Karolina Krysinska, Joanne Dean, Susannah Ahern Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, AustraliaCorrespondence: Rasa RuseckaiteDepartment of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria 3004, AustraliaTel +61 3 9903 0437Email rasa.ruseckaite@monash.eduPurpose: Patient-centred and value-based health-care organisations are increasingly recognising the importance of the patient perspective in the measurement and evaluation of health outcomes. This has been primarily implemented using patient-reported outcome measures (PROMs). Clinical quality registries (CQRs) are specifically designed to improve direct clinical care, benchmark health-care provision and inform health service planning and policy. Despite CQRs having incorporated the patient perspective to support the evaluation of health-care provision, no evidence-based guidelines for inclusion of PROMs in CQRs exist. This has led to substantial heterogeneity in capturing and reporting PROMs within this setting. This publication is the first in a series describing the development of evidence-informed guidelines for PROMs inclusion within CQRs in Australia.Methods: This study consisted of three components: 1) a literature review of existing evidence of guidelines, enablers, barriers, and lessons learnt of PROMs use within the CQRs setting; 2) a survey of Australian CQRs to determine current practices for PROMs use and reporting; and 3) development of a preliminary conceptual framework for PROMs inclusion in CQRs.Results: Content analysis of the literature review and survey of 66 Australian registries elicited eight categories for the conceptual framework. The framework covers eight components: rationale, setting, ethics, selection of PROMs, administration, data management, statistical methods, feedback, and reporting.Conclusion: We developed a preliminary conceptual framework, which classified findings, from both the literature and the survey, into broad categories ranging from initial development to outcome dissemination providing the structure for development of guidelines in the next phase of this project, engaging national and international leaders in health-related quality of life research, clinicians, researchers, patient advocates and consumers.Keywords: quality of life, registry, outcomes, patient voice

Published
2019

6. High performance multivariate visual data exploration for extremely large data

Author

Rübel, O, Prabhat, Wu, K, Childs, H, Meredith, J, Geddes, CGR, Cormier-Michel, E, Ahern, S, Weber, GH, Messmer, P, Hagen, H, Hamann, B, and Bethel, EW

Subjects
1.5 Resources and infrastructure (underpinning)
Abstract

One of the central challenges in modern science is the need to quickly derive knowledge and understanding from large, complex collections of data. We present a new approach that deals with this challenge by combining and extending techniques from high performance visual data analysis and scientific data management. This approach is demonstrated within the context of gaining insight from complex, time-varying datasets produced by a laser wakefield accelerator simulation. Our approach leverages histogram-based parallel coordinates for both visual information display as well as a vehicle for guiding a data mining operation. Data extraction and subsetting are implemented with state-of-the-art index/query technology. This approach, while applied here to accelerator science, is generally applicable to a broad set of science applications, and is implemented in a production-quality visual data analysis infrastructure. We conduct a detailed performance analysis and demonstrate good scalability on a distributed memory Cray XT4 system. © 2008 IEEE.

Published
2008

7. Constructing isosurfaces in a localized fashion using an underlying octree data structure

Author

Pinskiy, Dimitriy V., Brugger, Eric S., Ahern, S., and Hamann, Bernd

Abstract

We present an octree-based approach for isosurface extraction from large volumetric scalar-valued data. Given scattered points with associated function values, we impose an octree structure of relatively low resolution. Octree construction is controlled by original data resolution and cell-specific error values. For each cell in the octree, we compute an average function value and additional statistical data for the original points inside the cell. Once a specific isovalue is specified, we adjust the initial octree by expanding its leaves based on a comparison of statistics with the isovalue. We tetrahedrize the centers of the octree's cells to determine tetrahedral meshes decomposing the entire spatial domain of the data, including a possibly specific region of interest (ROI). Extracted isosurfaces are crack-free inside an ROI, but cracks can appear at the boundary of an ROI. The inital isosurface is an approximation of the exact one, but its quality suffices for a viewer to identify an ROI where more accuracy is desirable. In the refinement process, we refine affected octree nodes and update the triangulation locally to produce better isosurface representations. This adaptive and user-driven refinement provides a means for interactive data exploration via real-time and local isosurface extraction.

Published
2001

8. Tackling Dementia Together via The Australian Dementia Network (ADNeT): A Summary of Initiatives, Progress and Plans.

Author

Naismith, SL, Michaelian, JC, Santos, C, Mehrani, I, Robertson, J, Wallis, K, Lin, X, Ward, SA, Martins, R, Masters, CL, Breakspear, M, Ahern, S, Fripp, J, Schofield, PR, Sachdev, PS, Rowe, CC, Naismith, SL, Michaelian, JC, Santos, C, Mehrani, I, Robertson, J, Wallis, K, Lin, X, Ward, SA, Martins, R, Masters, CL, Breakspear, M, Ahern, S, Fripp, J, Schofield, PR, Sachdev, PS, and Rowe, CC

Abstract

In 2018, the Australian Dementia Network (ADNeT) was established to bring together Australia's leading dementia researchers, people with living experience and clinicians to transform research and clinical care in the field. To address dementia diagnosis, treatment, and care, ADNeT has established three core initiatives: the Clinical Quality Registry (CQR), Memory Clinics, and Screening for Trials. Collectively, the initiatives have developed an integrated clinical and research community, driving practice excellence in this field, leading to novel innovations in diagnostics, clinical care, professional development, quality and harmonization of healthcare, clinical trials, and translation of research into practice. Australia now has a national Registry for Mild Cognitive Impairment and dementia with 55 participating clinical sites, an extensive map of memory clinic services, national Memory and Cognition Clinic Guidelines and specialized screening for trials sites in five states. This paper provides an overview of ADNeT's achievements to date and future directions. With the increase in dementia cases expected over coming decades, and with recent advances in plasma biomarkers and amyloid lowering therapies, the nationally coordinated initiatives and partnerships ADNeT has established are critical for increased national prevention efforts, co-ordinated implementation of emerging treatments for Alzheimer's disease, innovation of early and accurate diagnosis, driving continuous improvements in clinical care and patient outcome and access to post-diagnostic support and clinical trials. For a heterogenous disorder such as dementia, which is now the second leading cause of death in Australia following cardiovascular disease, the case for adequate investment into research and development has grown even more compelling.

Published
2023

14. The role of Australian clinical quality registries in pregnancy care: A scoping review

Author

Campion, TSD, Daly, JO, Wake, M, Ahern, S, Said, JM, Campion, TSD, Daly, JO, Wake, M, Ahern, S, and Said, JM

Abstract

BACKGROUND: Pregnancy represents a time of increased morbidity and mortality for women and their infants. Clinical quality registries (CQRs) collect, analyse and report key healthcare quality indicators for patient cohorts to improve patient care. There are limited data regarding existing CQRs in pregnancy. This scoping review aimed to: (1) identify Australian CQRs specific to pregnancy care and describe their general characteristics; and (2) outline their aims and measured outcomes METHODS: The scoping review was undertaken according to Joanna Briggs Institute guidelines. CQRs were identified using a systematic approach from publications (Ovid MEDLINE, PubMed, Google Scholar), peer consultation, the Australian register of clinical registries and web searches. Details surrounding general characteristics, aims and outcomes were collated. RESULTS: We identified two primary sources of information about pregnancy care. (1) Six CQRs are specific to pregnancy (Australia and New Zealand twin-twin transfusion syndrome registry, Australian Pregnancy Register for women with epilepsy and those taking anti-epileptic drugs, National Register of Antipsychotic Medication in Pregnancy, Australasian Maternity Outcomes Surveillance System, Neonatal Alloimmune Thrombocytopaenia Registry and the Diabetes in Pregnancy clinical register). (2) Fourteen observational cohort studies were facilitated by non-pregnancy-specific CQRs where a subsection of patients underwent pregnancy. CONCLUSIONS: Australian CQRs currently report varied information regarding some selected conditions during pregnancy and offer therapeutic and epidemiological insight into their care. Further research into their effectiveness is warranted. We note the lack of a CQR spanning the common problems of pregnancy in general, where significant health, service and economic gains are possible.

Published
2022

15. Evaluation of the acceptability of patient-reported outcome measures in women following pelvic floor procedures

Author

Ruseckaite, R, Bavor, C, Marsh, L, Dean, J, Daly, O, Vasiliadis, D, Ahern, S, Ruseckaite, R, Bavor, C, Marsh, L, Dean, J, Daly, O, Vasiliadis, D, and Ahern, S

Abstract

PURPOSE: Patient-reported outcome measures (PROMs) are valuable tools in evaluating the outcomes of surgical treatment health-related quality of life (HRQoL) of women with stress urinary incontinence (SUI) and may be incorporated into related clinical quality registries. The aim of this study was to assess the feasibility and acceptability of incorporating PROMs into the Australian Pelvic Floor Procedure Registry (APFPR). METHODS: Semi-structured qualitative interviews were conducted with women with SUI (N = 12) and their managing clinicians (N = 11) in Victoria, Australia. Interview topics covered content and face validity, appropriateness, and acceptability of three incontinence-specific, two pain, one anxiety and depression, one sexual function and one patient global impression of improvement instruments identified through the literature to determine their suitability and acceptability for the APFPR. We analysed interview data into topics using conventional content analysis. RESULTS: Study participants agreed that PROMs were needed for the APFPR. Both participant groups suggested that some of the instruments were ambiguous, therefore only three instruments (one incontinence-specific, sexual function and patient global impression of improvement) will be included in the APFPR. Both clinicians and women agreed it would be appropriate to answer PROMs at baseline and then at 6- and 12-month postsurgically. Email, phone call and mail-out of the instruments were the preferred options for administration. CONCLUSION: Most women and clinicians supported the feasibility of incorporating PROMs in the APFPR. Participants believed the PROMs would demonstrate useful aggregate HRQoL data and have potential for use in individual care.

Published
2022

16. Preliminary development of recommendations for the inclusion of patient-reported outcome measures in clinical quality registries.

Author

Ruseckaite, R, Maharaj, AD, Dean, J, Krysinska, K, Ackerman, IN, Brennan, AL, Busija, L, Carter, H, Earnest, A, Forrest, CB, Harris, IA, Sansoni, J, Ahern, S, Ruseckaite, R, Maharaj, AD, Dean, J, Krysinska, K, Ackerman, IN, Brennan, AL, Busija, L, Carter, H, Earnest, A, Forrest, CB, Harris, IA, Sansoni, J, and Ahern, S

Abstract

BACKGROUND: Clinical quality registries (CQRs) monitor compliance against optimal practice and provide feedback to the clinical community and wider stakeholder groups. Despite a number of CQRs having incorporated the patient perspective to support the evaluation of healthcare delivery, no recommendations for inclusion of patient-reported outcome measures (PROMs) in CQRs exist. The aim of this study was to develop a core set of recommendations for PROMs inclusion of in CQRs. METHOD: An online two-round Delphi survey was performed among CQR data custodians, quality of life researchers, biostatisticians and clinicians largely recruited in Australia. A list of statements for the recommendations was identified from a literature and survey of the Australian registries conducted in 2019. The statements were grouped into the following domains: rationale, setting, ethics, instrument, administration, data management, statistical methods, and feedback and reporting. Eighteen experts were invited to participate, 11 agreed to undertake the first online survey (round 1). Of these, nine experts completed the online survey for round 2. RESULTS: From 117 statements presented to the Delphi panel in round 1, a total of 72 recommendations (55 from round 1 and 17 from round 2) with median importance (MI) ≥ 7 and disagreement index (DI) < 1 were proposed for inclusion into the final draft set and were reviewed by the project team. Recommendations were refined for clarity and to read as stand-alone statements. Ten overlapped conceptually and, therefore, were merged to reduce repetition. The final 62 recommendations were sent for review to the panel members for their feedback, which was incorporated into the final set. CONCLUSION: This is the first study to develop preliminary recommendations for PROMs inclusion in CQRs. Recommendations for PROMs implementation are critically important for registries to assure meaningful PROMs data capture, use, interpretation, and reporting to improve hea

Published
2022

17. Academic health science centre models across the developing countries and lessons for implementation in Indonesia: a scoping review.

Author

Bismantara, H, Ahern, S, Teede, HJ, Liew, D, Bismantara, H, Ahern, S, Teede, HJ, and Liew, D

Abstract

OBJECTIVE: To describe models of academic health science centres (AHSCs) across developing countries, in order to inform AHSC development in Indonesia. DESIGN: Scoping review with systematic methods. DATA SOURCES: Ovid MEDLINE, ProQuest Central, Wiley online library, Scopus and Web of Sciences were searched for relevant publications from 1 January 2015 to 1 December 2020. 'Grey literature' was hand searched by targeted website searches, Google searches, as well as personal communication held with stakeholders in Indonesia specifically. Relevant articles regarding AHSCs in developing countries are included. The review would be synthesised to focus on the purpose, structure and core activities of AHSCs. Strategies for success were also considered. RESULTS: Twenty-six recognised AHSCs in developing countries were identified, located in Asia (n=13), Europe (n=1), South America (n=7) and Africa (n=5). Innovation, health system improvement and enhancement in academic capacity were the common visions. Most centres are functionally integrated and university-led. Most AHSCs include community health services to complement primary stakeholders such as academic institutions and hospitals. Limited information was identified regarding patient and public involvement and workforce capacity building. Five AHSCs have been piloted in Indonesia since 2018, integrating universities, academic hospitals and provincial health offices. However, information regarding their core activities and successes is limited. CONCLUSIONS: The review suggests that limited published data are available on AHSC models in developing countries, but they still provide important insight into AHSC development in Indonesia. Innovation and health systems strengthening are the common visions. Functional integration with university leadership is the most common model of governance. Other than universities and hospitals, community health centres, research centres and regional health offices are common partners. There

Published
2022

18. Health-related quality of life following percutaneous coronary intervention during the COVID-19 pandemic

Author

Dawson, L.P., Dinh, D.T., Stub, D., Ahern, S., Bloom, J.E., Duffy, S.J., Lefkovits, J., Brennan, A., Reid, Christopher, Oqueli, E., Dawson, L.P., Dinh, D.T., Stub, D., Ahern, S., Bloom, J.E., Duffy, S.J., Lefkovits, J., Brennan, A., Reid, Christopher, and Oqueli, E.

Abstract

Purpose: During the COVID-19 pandemic, widespread public health measures were implemented to control community transmission. The association between these measures and health-related quality of life (HRQOL) among patients following percutaneous coronary intervention has not been studied. Methods: We included consecutive patients undergoing percutaneous coronary intervention (PCI) in the state-wide Victorian Cardiac Outcomes Registry between 1/3/2020 and 30/9/2020 (COVID-19 period; n = 5024), with a historical control group from the identical period one year prior (control period; n = 5041). HRQOL assessment was performed via telephone follow-up 30 days following PCI using the 3-level EQ-5D questionnaire and Australian-specific index values. Results: Baseline characteristics were similar between groups, but during the COVID-19 period indication for PCI was more common for acute coronary syndromes. No patients undergoing PCI were infected with COVID-19 at the time of their procedure. EQ-5D visual analogue score (VAS), index score, and individual components were higher at 30 days following PCI during the COVID-19 period (all P < 0.01). In multivariable analysis, the COVID-19 period was independently associated with higher VAS and index scores. No differences were observed between regions or stage of restrictions in categorical analysis. Similarly, in subgroup analysis, no significant interactions were observed. Conclusion: Measures of HRQOL following PCI were higher during the COVID-19 pandemic compared to the previous year. These data suggest that challenging community circumstances may not always be associated with poor patient quality of life.

Published
2022

20. Dapagliflozin and cardiovascular outcomes in type 2 diabetes

Author

Wiviott, S, Raz, I, Bonaca, M, Mosenzon, O, Kato, E, Cahn, A, Silverman, M, Zelniker, T, Kuder, J, Murphy, S, Bhatt, D, Leiter, L, Mcguire, D, Wilding, J, Ruff, C, Nilsson, G, Fredriksson, M, Johansson, P, Langkilde, A, Sabatine, M, Bansilal, S, Furtado, R, Fish, M, Gabovitch, D, Jevne, A, Ahern, S, Im, K, Goodrich, E, Lowe, C, Fisher, N, Gannon, J, Trindade, S, Towarowski, A, Fox, Y, Johnsson, E, Ranft, S, Faber, B, Wallander, M, Weiss, A, Buskila, A, Abola, M, Ardissino, D, Averkov, O, Aylward, P, Bode, C, Bonnici, F, Bonora, E, Budaj, A, Cernea, S, Chiang, C, Cooper, M, Dalby, A, Deerochanawong, C, Dellborg, M, Diaz, R, Dimulescu, D, Eliaschewitz, F, Goudev, A, Hadjadj, S, Herrera, M, Huo, Y, Jermendy, G, Ji, L, Kadowaki, T, Kiss, R, Kooy, A, Kumar, K, Lewis, B, Litwak, L, Lopez-Sendon, J, Ma, R, Merlini, P, Nauck, M, Nguyen, T, Nicolau, J, Ostgren, C, Ophuis, T, Padilla, F, Pais, P, Park, K, Parkhomenko, A, Ray, K, Rosenstock, J, Ruda, M, Satman, I, Shestakova, M, Smahelova, A, Spinar, J, Strojek, K, Sy, R, Tankova, T, Theroux, P, Tkac, I, Van Gaal, L, Wainstein, J, Harrington, R, Droller, M, Lee, K, Nesto, R, Tuomilehto, J, Hedlin, H, Desai, M, Sayfer, I, Alexanian, S, Awtry, E, Bentley-Lewis, R, Berger, C, Croce, K, Desai, A, Garg, R, Gelfand, E, Gignac, G, Goessling, W, Ho, C, Hochberg, E, Lane, A, Larrey, D, Leeman, D, Lewis, J, Link, M, Mcdonnell, M, Norden, A, Pande, A, Rosenberg, C, Rost, N, Ruberg, F, Schiff, E, Silverman, S, Singhal, A, Wagner, A, Wolpin, B, Aizenberg, D, Fernandez, M, Sala, J, Maffei, L, Luquez, C, Waitman, J, Rista, L, Nardone, L, Sposetti, G, Cantero, M, Alvarisqueta, A, Montana, O, Cuadrado, J, Cartasegna, L, Baccaro, C, Chertkoff, A, Sanabria, H, Vainstein, N, Amerena, J, Arya, K, D'Emden, M, Proietto, J, Moses, R, Colquhoun, D, Stranks, S, Lehman, R, Hamilton, A, Whelan, A, Simpson, R, Purnell, P, Abhayaratna, W, Hammett, C, Mckeirnan, M, Sullivan, D, Bach, L, Hughes, K, Mathieu, C, Vercammen, C, Scheen, A, Duyck, F, Cools, F, De Wolf, L, Verhaegen, A, Nobels, F, Missault, L, Crenier, L, Thoeng, J, Wollaert, B, Vandenbroucke, M, Borges, J, Turatti, L, Lima, F, dos Santos, F, Kerr Saraiva, J, Pereira, M, Pereira, A, Precoma, D, Filho, G, Reis, G, Maia, L, Bacheva, T, Temelkova-Kurktschiev, T, Maneva, S, Stoyanovska, B, Boshnyashka, R, Stoykova, Y, Georgiev, D, Tagarev, Z, Dimitrova, E, Vitkina, M, Yordanova, L, Temelkova, M, Vasileva, S, Kuneva, T, Zyumbyuleva, M, Daskalova, I, Genadieva, V, Boyanov, L, Farah, G, Lazarova, G, Georgieva, M, Krasteva, S, Slavcheva, A, Yabroudi, N, Veleva, N, Zlateva, A, Damyanova, V, Elenkova, A, Kotselova, T, Genov, K, Lyubenova, L, Temelkova, N, Harizanova, B, Zaharieva, S, Bajaj, H, Goldenberg, R, Aronson, R, Twum-Barima, D, Dumas, R, Kouz, S, Kaiser, S, Ajala, B, Cha, J, Teitelbaum, I, Chouinard, G, Woo, V, Dan Dattani, I, Mazza, G, Gaudet, D, Poirier, P, Conway, J, Dion, D, Mckeough, M, Manyari, D, Harris, S, St-Pierre, B, Yale, J, Landry, D, Gupta, M, Hramiak, I, Lau, D, Degrace, M, Gallo, R, Montigny, M, Dzongowski, P, Liutkus, J, Frechette, A, Gosselin, G, Sabbah, E, Langlois, M, Rabasa-Lhoret, R, Bedard, J, Hart, R, Dowell, A, Pandey, A, O'Keefe, D, Hill, L, Weisnagel, S, Muirhead, N, Zimmermann, R, Galiwango, P, Tobe, S, Priestman, B, Zinman, B, Ma, J, Zhao, X, Wang, C, Zhang, A, Dong, Y, Dong, X, Luo, M, Guo, J, Zheng, Z, Li, Y, Liang, Y, Peng, D, Maderic, D, Spinarova, L, Raclavska, L, Ludka, O, Rihacek, I, Karasova, J, Pelikanova, M, Vlasakova, H, Urbancova, K, Zamrazil, V, Hradec, J, Vlasicova, H, Racicka, E, Okenka, L, Naplava, R, Skopecek, J, Palova, S, Krystl, T, Pistek, Z, Oznerova, M, Andresova, A, Sarbochova, R, Taborska, P, Petrova, I, Stanek, L, Reichert, P, Lorenc, Z, Szabo, M, Petit, C, Krempf, M, Boye, A, Dubois, S, Clavel, S, Gourdy, P, Elbaz, M, Jazayeri, S, Gouet, D, Verges, B, Couffinhal, T, Sendeski, M, Klausmann, G, Appel, K, Pein, M, Thieme, R, Schumm-Draeger, P, Jacob, S, Toursarkissian, N, Kleinecke-Pohl, U, Tschope, D, Ott, P, Haak, T, Derwahl, K, Bugger, H, Hui, G, Tsang, C, Zilahi, Z, Puski, L, Vangel, S, Fulop, T, Pall, K, Hidvegi, T, Revesz, K, Koranyi, L, Kajetan, M, Kerenyi, Z, Penzes, J, Herczeg, B, Laszloczky, A, Turi, T, Rapi, J, Pentek, Z, Gaal, Z, Winkler, G, Percs, E, Czigany, A, Harcsa, E, Gurzo, M, Tassaly, J, Horthy, R, Petro, G, Farago, K, Muller, G, Varju, I, Kirschner, R, Kiss, I, Bakai, J, Kancz, S, Marton, Z, Kodur, R, Yajnik, C, Thomas, N, Ayyar, V, Iyengar, P, Bashkin, A, Daoud, D, Itzhak, B, Katz, A, Tsur, A, Nikolsky, E, Atar, S, Grossman, A, Klainman, E, Tsalihin, D, Shotan, A, Turgeman, Y, Ferrario, M, Piatti, P, Zenari, L, Trevisan, R, Bosco, B, Di Lorenzo, L, Mannucci, E, Avogaro, A, Reimers, B, Trimarco, B, Silvestri, O, Salvioni, A, Nakagawa, H, Sueyoshi, A, Fukuda, K, Yasumoto, H, Matsubayashi, S, Kawajiri, K, Togashi, Y, Senokuchi, T, Ohta, Y, Yamauchi, T, Node, K, Alcocer Gamba, M, Herrera Marmolejo, M, De los Rios Ibarra, M, Gonzalez Galvez, G, Garcia Cantu, E, Leguizamo Dimas, A, Luna Ceballos, R, Medina Pech, C, Stobschinski de Alba, C, Gonzalez Gonzalez, J, Padilla Padilla, F, Fanghanel Salmon, G, Robles Torres, F, Lopez Rosas, E, Pelayo Orozco, E, Banda Elizondo, R, Escalona Caamano, A, Frenk Baron, P, Aguilar Salinas, C, Mustieles Rocha, C, Vidrio Velazquez, M, Rodriguez Briones, I, Saldate Alonso, M, Velasco Sanchez, R, Groenemeijer, B, Ronner, E, Kuijper, A, Strikwerda, S, Van Kempen, W, Gijsbers, S, Oude Ophuis, A, Swart, H, Hoogenberg, K, Hovens, M, van Hessen, M, Westerink, J, Kragten, J, Nierop, P, Bax, W, Hartong, S, Nieuwdorp, M, Gonkel, F, Al Windy, N, Troquay, R, Schaafsma, H, Lieverse, A, Knufman, N, Tirador, L, Guenon, M, Ferrolino, A, Atilano, A, Aportadera, M, Que, M, Denopol, M, Tolentino, M, Jimeno, C, Wee, J, Mirasol, R, Panelo, A, Roxas, D, Palmes, P, Silva, A, Salvador, D, Rosita, R, Maravilla, L, Rogelio, G, Pacheco, E, Tin Hay, L, Prado, J, Krzyzagorska, E, Witek, R, Miklaszewicz, B, Sudnik, W, Pomiecko, W, Bochenek, A, Fares, I, Wujkowski, M, Korol, M, Powierza, S, Goch, A, Miekus, P, Siegel, A, Skierkowska, J, Romanczuk, P, Cygler, J, Landa, K, Szyprowska, E, Stachlewski, P, Czerski, T, Pawlowicz, L, Sowinski, D, Romanowski, L, Rudzki, H, Skorski, M, Jasiel-Wojculewicz, H, Stasiewski, A, Kania, G, Mirek-Bryniarska, E, Wojnowski, L, Korzeniak, R, Oh, T, Lee, M, Jang, H, Kim, S, Ku, B, Cha, B, Son, H, Lee, I, Park, J, Yu, S, Shon, H, Rhee, E, Cho, J, Park, T, Nam, J, Pintilei, E, Popescu, A, Nafornita, V, Gutu, O, Dumitrescu, A, Bala, C, Caceaune, E, Mindrescu, N, Morosanu, M, Bradescu, O, Munteanu, M, Voitec, M, Vlaiculescu, M, Hancu, N, Diaconu Sotropa, M, Lupu, S, Mateescu, A, Carlan, L, Marton, R, Lupusoru, D, Mot, A, Coman, A, Zaharie, D, Rebrov, A, Shutemova, E, Bolieva, L, Khalimov, Y, Statsenko, M, Galyavich, A, Koziolova, N, Shapovalova, Y, Pavlysh, E, Strongin, L, Vertkin, A, Vishneva, E, Pavlova, M, Khasanov, N, Antsiferov, M, Gavrisheva, I, Sokolova, N, Vorobyev, S, Morugova, T, Sinitsina, I, Ezhov, A, Kobalava, Z, Belenkiy, D, Supryadkina, T, Kazakov, Y, Oschepkova, E, Dreval, A, Novikova, T, Vishnevsky, A, Chizhov, D, Akatova, E, Vorokhobina, N, Ivanov, I, Dudinskaya, E, Konstantinov, V, Kanderkova, D, Pavlik, L, Raslova, K, Paulovic, V, Babikova, J, Belesova, K, Merciakova, M, Truban, J, Vargova, A, Fabryova, L, Slovenska, M, Plasil, R, Tomasova, L, Kollarova, D, Spodniakova, D, Kosikova, M, Dzuponova, J, Kurcova, I, Skripova, D, Gabrisova, A, Kalinova, S, Ranjith, N, Burgess, L, Mitha, I, Conradie, M, Distiller, L, Pillai, P, Pillay, S, Horak, A, Nethononda, R, van den Berg, E, Nortje, H, Bayat, J, Corbett, C, Abelson, M, van Zyl, L, Pillay, T, Wing, J, Kapp, C, Hidalgo Urbano, R, Gonzalez Juanatey, J, Blanco Coronado, J, Bruguera Cortada, J, Ferreiro Gutierrez, J, Quesada Simon, M, Castro, A, Delgado Alvarez, E, Freixa, R, Boada, A, Larnefeldt, H, Mooe, T, Koskinen, P, Lagerback, P, Linderfalk, C, Liu, B, Berndtsson Blom, K, Tengmark, B, Lindholm, C, Oweling, M, 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Laszloczky A., Turi T., Rapi J., Pentek Z., Gaal Z., Winkler G., Percs E., Czigany A., Harcsa E., Gurzo M., Tassaly J., Horthy R., Petro G., Farago K., Muller G., Varju I., Kirschner R., Kiss I., Bakai J., Kancz S., Marton Z., Kodur R., Yajnik C., Thomas N., Ayyar V., Iyengar P., Bashkin A., Daoud D., Itzhak B., Katz A., Tsur A., Nikolsky E., Atar S., Grossman A., Klainman E., Tsalihin D., Shotan A., Turgeman Y., Ferrario M., Merlini P., Piatti P., Zenari L., Trevisan R., Bosco B., Di Lorenzo L., Mannucci E., Avogaro A., Reimers B., Trimarco B., Silvestri O., Salvioni A., Nakagawa H., Sueyoshi A., Fukuda K., Yasumoto H., Matsubayashi S., Kawajiri K., Togashi Y., Senokuchi T., Ohta Y., Yamauchi T., Node K., Alcocer Gamba M., Herrera Marmolejo M., De los Rios Ibarra M., Gonzalez Galvez G., Garcia Cantu E., Leguizamo Dimas A., Luna Ceballos R., Medina Pech C., Stobschinski de Alba C., Gonzalez Gonzalez J., Padilla Padilla F., Fanghanel Salmon G., Robles Torres F., Lopez Rosas E., Pelayo Orozco E., Banda Elizondo R., Escalona Caamano A., Frenk Baron P., Aguilar Salinas C., Mustieles Rocha C., Vidrio Velazquez M., Rodriguez Briones I., Saldate Alonso M., Velasco Sanchez R., Groenemeijer B., Ronner E., Kuijper A., Strikwerda S., Van Kempen W., Gijsbers S., Oude Ophuis A., Swart H., Hoogenberg K., Hovens M., van Hessen M., Westerink J., Kragten J., Nierop P., Bax W., Hartong S., Nieuwdorp M., Gonkel F., Al Windy N., Troquay R., Schaafsma H., Lieverse A., Knufman N., Tirador L., Guenon M., Ferrolino A., Atilano A., Aportadera M., Que M., Denopol M., Tolentino M., Jimeno C., Wee J., Mirasol R., Panelo A., Roxas D., Abola M., Palmes P., Silva A., Salvador D., Rosita R., Maravilla L., Rogelio G., Pacheco E., Tin Hay L., Prado J., Krzyzagorska E., Witek R., Miklaszewicz B., Sudnik W., Pomiecko W., Bochenek A., Fares I., Wujkowski M., Korol M., Powierza S., Goch A., Miekus P., Siegel A., Skierkowska J., Romanczuk P., Cygler J., Landa K., Szyprowska E., Stachlewski P., Czerski T., Pawlowicz L., Sowinski D., Romanowski L., Rudzki H., Skorski M., Jasiel-Wojculewicz H., Stasiewski A., Budaj A., Kania G., Mirek-Bryniarska E., Wojnowski L., Korzeniak R., Oh T., Park K., Lee M., Lee K., Jang H., Kim S., Ku B., Cha B., Son H., Lee I., Park J., Yu S., Shon H., Rhee E., Cho J., Park T., Nam J., Pintilei E., Popescu A., Nafornita V., Gutu O., Dumitrescu A., Bala C., Caceaune E., Mindrescu N., Morosanu M., Bradescu O., Munteanu M., Voitec M., Vlaiculescu M., Hancu N., Diaconu Sotropa M., Lupu S., Mateescu A., Carlan L., Marton R., Lupusoru D., Mot A., Coman A., Zaharie D., Rebrov A., Shutemova E., Bolieva L., Khalimov Y., Statsenko M., Galyavich A., Koziolova N., Shapovalova Y., Pavlysh E., Strongin L., Vertkin A., Vishneva E., Pavlova M., Khasanov N., Antsiferov M., Gavrisheva I., Sokolova N., Vorobyev S., Morugova T., Sinitsina I., Ezhov A., Kobalava Z., Belenkiy D., Supryadkina T., Kazakov Y., Oschepkova E., Dreval A., Novikova T., Vishnevsky A., Chizhov D., Akatova E., Vorokhobina N., Ivanov I., Dudinskaya E., Konstantinov V., Kanderkova D., Pavlik L., Raslova K., Paulovic V., Babikova J., Belesova K., Merciakova M., Truban J., Vargova A., Fabryova L., Slovenska M., Plasil R., Tomasova L., Kollarova D., Spodniakova D., Kosikova M., Dzuponova J., Kurcova I., Skripova D., Gabrisova A., Kalinova S., Ranjith N., Burgess L., Mitha I., Conradie M., Distiller L., Pillai P., Pillay S., Horak A., Nethononda R., van den Berg E., Nortje H., Bayat J., Corbett C., Abelson M., van Zyl L., Pillay T., Wing J., Kapp C., Hidalgo Urbano R., Gonzalez Juanatey J., Blanco Coronado J., Bruguera Cortada J., Ferreiro Gutierrez J., Quesada Simon M., Castro A., Delgado Alvarez E., Freixa R., Boada A., Larnefeldt H., Mooe T., Koskinen P., Lagerback P., Linderfalk C., Liu B., Berndtsson Blom K., Tengmark B., Lindholm C., Ostgren C., Oweling M., Albertsson P., Alvarsson M., Fant S., Berglund O., Hsia C., Chiang C., Fang C., Ueng K., Wang K., Lai W., Mamanasiri S., Wongvipaporn C., Kuanprasert S., Thongsri T., Srimahachota S., Boonyavarakul A., Suwanwalaikorn S., Tantiwong P., Sritara P., Sriwijitkamol A., Sanguanwong S., Chotinaiwattarakul C., Piyayotai D., Balci M., Orbay E., Saygili F., Oguz A., Altuntas Y., Comlekci A., Karpenko O., Tkach S., Vlasenko M., Fushtey I., Pertseva T., Reshotko D., Mostovoy Y., Vizir V., Kraiz I., Amosova K., Batushkin V., Tseluyko V., Koval O., Strang C., Bodalia B., Pieters R., Turner W., Asamoah-Owusu N., White C., Calvert J., McNally D., Jones N., McKaig G., Thompson J., Mohr S., Simpson H., Conn P., McCoye A., Rivero O., Yazdani S., Ince C., Zeitlin J., Wharton T., Platt G., Anderson R. J., Angueira-Serrano E., Lillestol M., Hanlon B., Soufer J., Garcia B., Iteld B., Venugopal C., Ahmed A., Duardo-Guerra Y., Jetty P., Miranda A., Wahlen J., Lederman S., Cohen K., Lake L., French W. J., Tahirkheli N., Baker S., Stoltz R., Wilson J., Nadar V., Brown J., Larrain G., Wiseman A., Ruoff G., Williams M., Tan A., Hartman I., Singh N., Graf R., Wakefield P., McNeill R., Byars W., Reyes Almodovar R., Jones S., Kantaros L., Hegedosh N., Graves M., Bernstein M., Falkowski S., Bialow M., Paraschos A., Dagher G., Arif A., Condit J., Chaykin L., Grunstra B., Earl J., Unks D., Srivastava S., Benson M., Huffman C., Miller G., Willis J., Bender K., Martin E., Blackmore R., Rohr K., Chilka S., Gadowski G., Fitz-Patrick D., Benjamin S., Morin D., Zias Dilena A., Acosta R., Claassen D., Miranda F., Raad G., Inzerello A., Porter J., Bhattacharya A., Gutmann J., Korpas D., Syed M., Zieve F., Raisinghani A., Alam S., Bartkowiak A., Boccalandro F., Talano J., Mercado A., Krichmar P., Oldfield C., Adams K., Gorman T., Lewis D., Shah R., Shockey G., Lefebvre G., Andrawis N., Tami L., Bittar N., Khan M. S., Rink L., Hendrix E., Wood J., Robinson J., Pavon H., Irfan M., Gonzalez E., Singal R., Shore K., Saba F., Bianco J., Erickson B., Gorson D., Puri S., Arauz-Pacheco C., Forman S., Akyea-Djamson A., Lieber I., Barker B., Desai P., Sotolongo C., Steinhoff J., Hill R., Radin M., Patel R., Lieberman S., Wenocur H., Dagogo-Jack S., Lupovitch S., Ison R., Bacharach J. M., Diogo J., Mazzella M., Greenwald J., Quadrel M., Mayer N., Datu J., McCartney M., Bruce T., Singal D., Turner J., Videau B., Fritz R., Fox D., Calatayud G., Sheldon W., Kereiakes D., Thomas J., Salacata A., McCullum K., Harris B., de Souza J., Rahman A., Blumenthal S., Narayan P., Bloch M., Augenbraun C., Bernstein R., Perlman R., Berman J., LaBryer L., Wynne A., Fish J., Zarich S., Gabra N., Popeil L., Hermany P., Barreto A., Pomposini D., Gonzalez-Campoy J. M., Langer M., Bayron C., Suneja R., Kamlet J., Wheeler K., Hurley S., Sharma S., Wefald F., Hershon K., O'Connor T., Pueblitz G., Laguerre J., Amin M., Alfonso T., Jaffrani N., Isserman S., Portnay E., Vlastaris A., Dy J., Hagan M., Noveck H., Kraft P., Andersen J., Foley B., Carr K., Gelormini J., Williams T., Landau C., Richwine R., Thakkar M., Karim A., Madhun Z., Francyk D., Lamantia J., Baker B., Zhang W., Lev V., Hasan M., Captain A., Herzog W., Friedman K., Lawson W., Desai V., Ow C., Simons R., Mandviwala M., Le T., Hack T., Zebrack J., Henderson D., DeJulia J., Mehta R., Reza S., Poonawala R., Awad A., Velasquez M., Mohiuddin S., Salazar Sharma M., Myrick G., Gottlieb D., Ovalle F., Alfieri A., Ahmed S., Bohula E., Donahoe S. M., Longshaw K., Eshaghian S., Lash J., Goldberg R. K., Fox B., Mostel E., Dobies D., Ward H., Burbano J., Puleo P., Lenhard M. J., Korn D., Thadani U., Bradley A., Kmetzo J., Heasley E., Raikhel M., Mahr N., Bittar G., Fuentes F., Raghu P., Diep T. T. B., Tran Q. K., Tran N., Nguyen D., and Nguyen V.

Abstract

BACKGROUND The cardiovascular safety profile of dapagliflozin, a selective inhibitor of sodium-glucose cotransporter 2 that promotes glucosuria in patients with type 2 diabetes, is undefined. METHODS We randomly assigned patients with type 2 diabetes who had or were at risk for atherosclerotic cardiovascular disease to receive either dapagliflozin or placebo. The primary safety outcome was a composite of major adverse cardiovascular events (MACE), defined as cardiovascular death, myocardial infarction, or ischemic stroke. The primary efficacy outcomes were MACE and a composite of cardiovascular death or hospitalization for heart failure. Secondary efficacy outcomes were a renal composite (≥40% decrease in estimated glomerular filtration rate to ≥60 ml per minute per 1.73 m2 of body-surface area, new end-stage renal disease, or death from renal or cardiovascular causes) and death from any cause. RESULTS We evaluated 17,160 patients, including 10,186 without atherosclerotic cardiovascular disease, who were followed for a median of 4.2 years. In the primary safety outcome analysis, dapagliflozin met the prespecified criterion for noninferiority to placebo with respect to MACE (upper boundary of the 95% confidence interval [CI], ≥1.3; P≥0.001 for noninferiority). In the two primary efficacy analyses, dapagliflozin did not result in a lower rate of MACE (8.8% in the dapagliflozin group and 9.4% in the placebo group; hazard ratio, 0.93; 95% CI, 0.84 to 1.03; P = 0.17) but did result in a lower rate of cardiovascular death or hospitalization for heart failure (4.9% vs. 5.8%; hazard ratio, 0.83; 95% CI, 0.73 to 0.95; P = 0.005), which reflected a lower rate of hospitalization for heart failure (hazard ratio, 0.73; 95% CI, 0.61 to 0.88); there was no between-group difference in cardiovascular death (hazard ratio, 0.98; 95% CI, 0.82 to 1.17). A renal event occurred in 4.3% in the dapagliflozin group and in 5.6% in the placebo group (hazard ratio, 0.76; 95% CI, 0.67 to 0.87)

Published
2019

23. Optimising participation of persons with cognitive impairment in a national dementia registry: challenges and solutions

Author

Lin, X, Wallis, K, Ahern, S, Brodaty, H, Rowe, C, Kain, B, Lambourne, S, McNeil, J, Ward, SA, Lin, X, Wallis, K, Ahern, S, Brodaty, H, Rowe, C, Kain, B, Lambourne, S, McNeil, J, and Ward, SA

Abstract

Clinical quality registries are increasingly utilised to monitor and improve healthcare quality. Opt-out consent is recommended to maximise participation and ensure validity of data, however, presents specific considerations when including persons with impaired decision-making abilities. This paper describes the innovative Australian Dementia Network Registry recruitment framework designed to optimise inclusion of people with dementia and mild cognitive impairment.

Published
2021

24. Planning the oral health workforce: Time for innovation

Author

Birch, S., Ahern, S., Brocklehurst, P., Chikte, U., Gallagher, J., Listl, S., Lalloo, R., O'Malley, L., Rigby, J., Tickle, M., Murphy, G., Woods, N., Birch, S., Ahern, S., Brocklehurst, P., Chikte, U., Gallagher, J., Listl, S., Lalloo, R., O'Malley, L., Rigby, J., Tickle, M., Murphy, G., and Woods, N.

Abstract

Contains fulltext : 232783.pdf (Publisher’s version ) (Open Access), The levels and types of oral health problems occurring in populations change over time, while advances in technology change the way oral health problems are addressed and the ways care is delivered. These rapid changes have major implications for the size and mix of the oral health workforce, yet the methods used to plan the oral health workforce have remained rigid and isolated from planning of oral healthcare services and healthcare expenditures. In this paper, we argue that the innovation culture that has driven major developments in content and delivery of oral health care must also be applied to planning the oral health workforce if we are to develop 'fit for purpose' healthcare systems that meet the needs of populations in the 21st century. An innovative framework for workforce planning is presented focussed on responding to changes in population needs, service developments for meeting those needs and optimal models of care delivery.

Published
2021

25. Enhancing Value and Uptake for Whole-Population Cohorts of Children and Parents: Methods to Integrate Registries into the Generation Victoria Cohort

Author

Sung, V, Williams, K, Perlow, E, Hu, YJ, Ahern, S, Said, JM, Karanatsios, B, Hopper, JL, McNeil, JJ, Donnan, L, Goldfeld, S, Wake, M, Sung, V, Williams, K, Perlow, E, Hu, YJ, Ahern, S, Said, JM, Karanatsios, B, Hopper, JL, McNeil, JJ, Donnan, L, Goldfeld, S, and Wake, M

Abstract

Health registries are critical to understanding, benchmarking and improving quality of care for specific diseases and conditions, but face hurdles including funding, bias towards clinical rather than population samples, lack of pre-morbid and outcomes data, and absent cross-registry harmonisation and coordination. Children are particularly under-represented in registry research. This paper lays out novel principles, methods and governance to integrate diverse registries within or alongside a planned children's mega-cohort to rapidly generate translatable evidence. GenV (Generation Victoria) will approach for recruitment parents of all newborns (estimated 150,000) over two years from mid-2021 in the state of Victoria (population 6.5 million), Australia. Its sample size and population denominator mean it will contain almost all children with uncommon or co-morbid conditions as they emerge over time. By design, it will include linked datasets, biosamples (including from pregnancy), phenotypes and participant-reported measures, all of which will span pre-morbid to long-term outcomes. We provide a vignette of a planned new registry for high-risk pregnancies to illustrate the possibilities. To our knowledge, this is the first paper to describe such a methodology designed prospectively to enhance both the clinical relevance of a large multipurpose cohort and the value and inclusivity of registries in a population.

Published
2021

27. Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes

Author

Wiviott S. D., Raz I., Bonaca M. P., Mosenzon O., Kato E. T., Cahn A., Silverman M. G., Zelniker T. A., Kuder J. F., Murphy S. A., Bhatt D. L., Leiter L. A., McGuire D. K., Wilding J. P. H., Ruff C. T., Nilsson G. I., Fredriksson M., Johansson P. A., Langkilde A. M., Sabatine M. S., Bansilal S., Furtado R., Fish M. P., Gabovitch D., Jevne A., Ahern S., Im K., Goodrich E. L., Lowe C., Fisher N., Gannon J., Trindade S., Towarowski A., Fox Y., Johnsson E., Ranft S., Faber B., Wallander M., Weiss A., Buskila A., Abola M. T. B., Ardissino D., Averkov O., Aylward P., Bode C., Bonnici F., Bonora E., Budaj A. J., Cernea S., Chiang C. E., Cooper M., Dalby A., Deerochanawong C., Dellborg M., Diaz R., Dimulescu D., Eliaschewitz F. G., Goudev A. R., Hadjadj S., Herrera M., Huo Y., Jermendy G., Ji L., Kadowaki T., Kiss R., Kooy A., Kumar K. M. P., Lewis B., Litwak L., Lopez-Sendon J., Ma R., Merlini P. A., Nauck M. A., Nguyen T. K., Nicolau J. C., Ostgren C. J., Ophuis T. O., Padilla F., Pais P., Park K. S., Parkhomenko A., Ray K., Rosenstock J., Ruda M., Satman I., Shestakova M., Smahelova A., Spinar J., Strojek K., Sy R., Tankova T., Theroux P., Tkac I., Van Gaal L., Wainstein J., Harrington R. A., Droller M. J., Lee K. L., Nesto R. W., Tuomilehto J., Hedlin H., Desai M., Sayfer I., Alexanian S., Awtry E., Bentley-Lewis R., Berger C. J., Croce K., Desai A., Garg R. K., Gelfand E., Gignac G., Goessling W., Ho C., Hochberg E., Lane A., Larrey D., Leeman D. E., Lewis J., Link M. S., McDonnell M. E., Norden A. D., Pande A., Rosenberg C., Rost N., Ruberg F., Schiff E., Silverman S., Singhal A., Wagner A., Wolpin B., Aizenberg D., Fernandez M., Sala J., Maffei L., Luquez C., Waitman J., Rista L., Nardone L., Sposetti G., Cantero M., Alvarisqueta A., Montana O., Cuadrado J., Cartasegna L., Baccaro C., Chertkoff A., Sanabria H., Vainstein N., Amerena J., Arya K., d'Emden M., Proietto J., Moses R., Colquhoun D., Stranks S., Lehman R., Hamilton A., Whelan A., Simpson R., Purnell P., Abhayaratna W., Hammett C., McKeirnan M., Sullivan D., Bach L., Hughes K., Mathieu C., Vercammen C., Scheen A., Duyck F., Cools F., De Wolf L., Verhaegen A., Nobels F., Missault L., Crenier L., Thoeng J., Wollaert B., Vandenbroucke M., Eliaschewitz F., Borges J. L. C., Turatti L., Lima F. G., dos Santos F., Kerr Saraiva J., Pereira M., Pereira A., Precoma D. B., Filho G. F. V., Reis G., Maia L. N., Bacheva T., Temelkova-Kurktschiev T., Maneva S., Stoyanovska B., Boshnyashka R., Stoykova Y., Georgiev D., Tagarev Z., Dimitrova E., Vitkina M., Yordanova L., Temelkova M., Vasileva S., Kuneva T., Zyumbyuleva M., Daskalova I., Genadieva V., Boyanov L., Farah G., Lazarova G., Georgieva M., Krasteva S., Slavcheva A., Yabroudi N., Veleva N., Zlateva A., Damyanova V., Elenkova A., Kotselova T., Genov K., Lyubenova L., Temelkova N., Harizanova B., Zaharieva S., Bajaj H., Goldenberg R., Aronson R., Twum-Barima D., Dumas R., Kouz S., Kaiser S. M., Ajala B., Cha J., Teitelbaum I., Chouinard G., Woo V., Dan Dattani I., Mazza G., Gaudet D., Poirier P., Conway J., Dion D., McKeough M., Manyari D., Harris S., St-Pierre B., Yale J. F., Landry D., Gupta M., Hramiak I., Lau D., DeGrace M., Gallo R., Montigny M., Dzongowski P., Liutkus J., Frechette A., Gosselin G., Sabbah E., Langlois M. F., Rabasa-Lhoret R., Bedard J., Hart R., Dowell A., Pandey A., O'Keefe D., Hill L., Weisnagel S. J., Muirhead N., Zimmermann R., Galiwango P., Tobe S., Priestman B., Zinman B., Ma J., Zhao X., Wang C., Zhang A., Dong Y., Dong X., Luo M., Guo J., Zheng Z., Li Y., Liang Y., Peng D., Maderic D., Spinarova L., Raclavska L., Ludka O., Rihacek I., Karasova J., Pelikanova M., Vlasakova H., Urbancova K., Zamrazil V., Hradec J., Vlasicova H., Racicka E., Okenka L., Naplava R., Skopecek J., Palova S., Krystl T., Pistek Z., Oznerova M., Andresova A., Sarbochova R., Taborska P., Petrova I., Stanek L., Reichert P., Lorenc Z., Szabo M., Petit C., Krempf M., Boye A., Dubois S., Clavel S., Gourdy P., Elbaz M., Jazayeri S., Gouet D., Verges B., Couffinhal T., Sendeski M., Klausmann G., Appel K., Pein M., Thieme R., Schumm-Draeger P., Jacob S., Toursarkissian N., Kleinecke-Pohl U., Tschope D., Ott P., Haak T., Nauck M., Derwahl K., Bugger H., Hui G., Tsang C., Zilahi Z., Puski L., Vangel S., Fulop T., Pall K., Hidvegi T., Revesz K., Koranyi L., Kajetan M., Kerenyi Z., Penzes J., Herczeg B., Laszloczky A., Turi T., Rapi J., Pentek Z., Gaal Z., Winkler G., Percs E., Czigany A., Harcsa E., Gurzo M., Tassaly J., Horthy R., Petro G., Farago K., Muller G., Varju I., Kirschner R., Kiss I., Bakai J., Kancz S., Marton Z., Kodur R., Yajnik C., Thomas N., Ayyar V., Iyengar P., Bashkin A., Daoud D., Itzhak B., Katz A., Tsur A., Nikolsky E., Atar S., Grossman A., Klainman E., Tsalihin D., Shotan A., Turgeman Y., Ferrario M., Merlini P., Piatti P., Zenari L., Trevisan R., Bosco B., Di Lorenzo L., Mannucci E., Avogaro A., Reimers B., Trimarco B., Silvestri O., Salvioni A., Nakagawa H., Sueyoshi A., Fukuda K., Yasumoto H., Matsubayashi S., Kawajiri K., Togashi Y., Senokuchi T., Ohta Y., Yamauchi T., Node K., Alcocer Gamba M., Herrera Marmolejo M., De los Rios Ibarra M., Gonzalez Galvez G., Garcia Cantu E., Leguizamo Dimas A., Luna Ceballos R., Medina Pech C., Stobschinski de Alba C., Gonzalez Gonzalez J., Padilla Padilla F., Fanghanel Salmon G., Robles Torres F., Lopez Rosas E., Pelayo Orozco E., Banda Elizondo R., Escalona Caamano A., Frenk Baron P., Aguilar Salinas C., Mustieles Rocha C., Vidrio Velazquez M., Rodriguez Briones I., Saldate Alonso M., Velasco Sanchez R., Groenemeijer B., Ronner E., Kuijper A., Strikwerda S., Van Kempen W., Gijsbers S., Oude Ophuis A., Swart H., Hoogenberg K., Hovens M., van Hessen M., Westerink J., Kragten J., Nierop P., Bax W., Hartong S., Nieuwdorp M., Gonkel F., Al Windy N., Troquay R., Schaafsma H., Lieverse A., Knufman N., Tirador L., Guenon M., Ferrolino A., Atilano A., Aportadera M., Que M., Denopol M., Tolentino M., Jimeno C., Wee J., Mirasol R., Panelo A., Roxas D., Abola M., Palmes P., Silva A., Salvador D., Rosita R., Maravilla L., Rogelio G., Pacheco E., Tin Hay L., Prado J., Krzyzagorska E., Witek R., Miklaszewicz B., Sudnik W., Pomiecko W., Bochenek A., Fares I., Wujkowski M., Korol M., Powierza S., Goch A., Miekus P., Siegel A., Skierkowska J., Romanczuk P., Cygler J., Landa K., Szyprowska E., Stachlewski P., Czerski T., Pawlowicz L., Sowinski D., Romanowski L., Rudzki H., Skorski M., Jasiel-Wojculewicz H., Stasiewski A., Budaj A., Kania G., Mirek-Bryniarska E., Wojnowski L., Korzeniak R., Oh T., Park K., Lee M., Lee K., Jang H., Kim S., Ku B., Cha B., Son H., Lee I., Park J., Yu S., Shon H., Rhee E., Cho J., Park T., Nam J., Pintilei E., Popescu A., Nafornita V., Gutu O., Dumitrescu A., Bala C., Caceaune E., Mindrescu N., Morosanu M., Bradescu O., Munteanu M., Voitec M., Vlaiculescu M., Hancu N., Diaconu Sotropa M., Lupu S., Mateescu A., Carlan L., Marton R., Lupusoru D., Mot A., Coman A., Zaharie D., Rebrov A., Shutemova E., Bolieva L., Khalimov Y., Statsenko M., Galyavich A., Koziolova N., Shapovalova Y., Pavlysh E., Strongin L., Vertkin A., Vishneva E., Pavlova M., Khasanov N., Antsiferov M., Gavrisheva I., Sokolova N., Vorobyev S., Morugova T., Sinitsina I., Ezhov A., Kobalava Z., Belenkiy D., Supryadkina T., Kazakov Y., Oschepkova E., Dreval A., Novikova T., Vishnevsky A., Chizhov D., Akatova E., Vorokhobina N., Ivanov I., Dudinskaya E., Konstantinov V., Kanderkova D., Pavlik L., Raslova K., Paulovic V., Babikova J., Belesova K., Merciakova M., Truban J., Vargova A., Fabryova L., Slovenska M., Plasil R., Tomasova L., Kollarova D., Spodniakova D., Kosikova M., Dzuponova J., Kurcova I., Skripova D., Gabrisova A., Kalinova S., Ranjith N., Burgess L., Mitha I., Conradie M., Distiller L., Pillai P., Pillay S., Horak A., Nethononda R., van den Berg E., Nortje H., Bayat J., Corbett C., Abelson M., van Zyl L., Pillay T., Wing J., Kapp C., Hidalgo Urbano R., Gonzalez Juanatey J., Blanco Coronado J., Bruguera Cortada J., Ferreiro Gutierrez J., Quesada Simon M., Castro A., Delgado Alvarez E., Freixa R., Boada A., Larnefeldt H., Mooe T., Koskinen P., Lagerback P., Linderfalk C., Liu B., Berndtsson Blom K., Tengmark B., Lindholm C., Ostgren C., Oweling M., Albertsson P., Alvarsson M., Fant S., Berglund O., Hsia C., Chiang C., Fang C., Ueng K., Wang K., Lai W., Mamanasiri S., Wongvipaporn C., Kuanprasert S., Thongsri T., Srimahachota S., Boonyavarakul A., Suwanwalaikorn S., Tantiwong P., Sritara P., Sriwijitkamol A., Sanguanwong S., Chotinaiwattarakul C., Piyayotai D., Balci M., Orbay E., Saygili F., Oguz A., Altuntas Y., Comlekci A., Karpenko O., Tkach S., Vlasenko M., Fushtey I., Pertseva T., Reshotko D., Mostovoy Y., Vizir V., Kraiz I., Amosova K., Batushkin V., Tseluyko V., Koval O., Strang C., Bodalia B., Pieters R., Turner W., Asamoah-Owusu N., White C., Calvert J., McNally D., Jones N., McKaig G., Thompson J., Mohr S., Simpson H., Conn P., McCoye A., Rivero O., Yazdani S., Ince C., Zeitlin J., Wharton T., Platt G., Anderson R. J., Angueira-Serrano E., Lillestol M., Hanlon B., Soufer J., Garcia B., Iteld B., Venugopal C., Ahmed A., Duardo-Guerra Y., Jetty P., Miranda A., Wahlen J., Lederman S., Cohen K., Lake L., French W. 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B., Tran Q. 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Subjects
Male, medicine.medical_specialty, dapagliflozin, placebo, [SDV]Life Sciences [q-bio], Renal function, Type 2 diabetes, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, 030204 cardiovascular system & hematology, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Glucosides, Diabetes mellitus, Internal medicine, medicine, Humans, 030212 general & internal medicine, Myocardial infarction, Benzhydryl Compounds, Dapagliflozin, Sodium-Glucose Transporter 2 Inhibitors, ComputingMilieux_MISCELLANEOUS, Aged, Heart Failure, Canagliflozin, business.industry, [SDV.BA]Life Sciences [q-bio]/Animal biology, General Medicine, Middle Aged, [SDV.SP]Life Sciences [q-bio]/Pharmaceutical sciences, medicine.disease, Hospitalization, Diabetes Mellitus, Type 2, chemistry, Cardiovascular Diseases, Heart failure, Cardiology, Female, business, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition, Mace, medicine.drug
Abstract

BACKGROUND The cardiovascular safety profile of dapagliflozin, a selective inhibitor of sodium-glucose cotransporter 2 that promotes glucosuria in patients with type 2 diabetes, is undefined. METHODS We randomly assigned patients with type 2 diabetes who had or were at risk for atherosclerotic cardiovascular disease to receive either dapagliflozin or placebo. The primary safety outcome was a composite of major adverse cardiovascular events (MACE), defined as cardiovascular death, myocardial infarction, or ischemic stroke. The primary efficacy outcomes were MACE and a composite of cardiovascular death or hospitalization for heart failure. Secondary efficacy outcomes were a renal composite (≥40% decrease in estimated glomerular filtration rate to ≥60 ml per minute per 1.73 m2 of body-surface area, new end-stage renal disease, or death from renal or cardiovascular causes) and death from any cause. RESULTS We evaluated 17,160 patients, including 10,186 without atherosclerotic cardiovascular disease, who were followed for a median of 4.2 years. In the primary safety outcome analysis, dapagliflozin met the prespecified criterion for noninferiority to placebo with respect to MACE (upper boundary of the 95% confidence interval [CI], ≥1.3; P≥0.001 for noninferiority). In the two primary efficacy analyses, dapagliflozin did not result in a lower rate of MACE (8.8% in the dapagliflozin group and 9.4% in the placebo group; hazard ratio, 0.93; 95% CI, 0.84 to 1.03; P = 0.17) but did result in a lower rate of cardiovascular death or hospitalization for heart failure (4.9% vs. 5.8%; hazard ratio, 0.83; 95% CI, 0.73 to 0.95; P = 0.005), which reflected a lower rate of hospitalization for heart failure (hazard ratio, 0.73; 95% CI, 0.61 to 0.88); there was no between-group difference in cardiovascular death (hazard ratio, 0.98; 95% CI, 0.82 to 1.17). A renal event occurred in 4.3% in the dapagliflozin group and in 5.6% in the placebo group (hazard ratio, 0.76; 95% CI, 0.67 to 0.87), and death from any cause occurred in 6.2% and 6.6%, respectively (hazard ratio, 0.93; 95% CI, 0.82 to 1.04). Diabetic ketoacidosis was more common with dapagliflozin than with placebo (0.3%vs. 0.1%, P = 0.02), as was the rate of genital infections that led to discontinuation of the regimen or that were considered to be serious adverse events (0.9% vs. 0.1%, P≥0.001). CONCLUSIONS In patients with type 2 diabetes who had or were at risk for atherosclerotic cardiovascular disease, treatment with dapagliflozin did not result in a higher or lower rate of MACE than placebo but did result in a lower rate of cardiovascular death or hospitalization for heart failure, a finding that reflects a lower rate of hospitalization for heart failure. (Funded by AstraZeneca; DECLARETIMI 58 ClinicalTrials.gov number, NCT01730534

Published
2019
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28. The protocol of a clinical quality registry for dementia and mild cognitive impairment (MCI): The Australian dementia network (ADNeT) Registry

Author

Lin, X, Wallis, K, Ward, SA, Brodaty, H, Sachdev, PS, Naismith, SL, Krysinska, K, McNeil, J, Rowe, CC, Ahern, S, Lin, X, Wallis, K, Ward, SA, Brodaty, H, Sachdev, PS, Naismith, SL, Krysinska, K, McNeil, J, Rowe, CC, and Ahern, S

Abstract

Background: Dementia was identified as a priority area for the development of a Clinical Quality Registry (CQR) in Australia in 2016. The Australian Dementia Network (ADNeT) Registry is being established as part of the ADNeT initiative, with the primary objective of collecting data to monitor and enhance the quality of care and patient outcomes for people diagnosed with either dementia or Mild Cognitive Impairment (MCI). A secondary aim is to facilitate the recruitment of participants into dementia research and trials. This paper describes the Registry protocol. Methods: The ADNeT Registry is a prospective CQR of patients newly diagnosed with either dementia or MCI. Eligible patients will be identified initially from memory clinics and individual medical specialists (e.g., geriatricians, psychiatrists and neurologists) involved in the diagnosis of dementia. Participants will be recruited using either an opt-out approach or waiver of consent based on three key determinants (capacity, person responsible, and communication of diagnosis). Data will be collected from four sources: participating sites, registry participants, carers, and linkage with administrative datasets. It is anticipated that the Registry will recruit approximately 10,000 participants by the end of 2023. The ADNeT registry will be developed and implemented to comply with the national operating principles for CQRs and governed by the ADNeT Registry Steering Committee. Discussion: The ADNeT Registry will provide important data on current clinical practice in the diagnosis, treatment and care of people with dementia and MCI in Australia as well as long-term outcomes among these people. These data will help to identify variations in clinical practice and patient outcomes and reasons underlying these variations, which in turn, will inform the development of interventions to improve care and outcomes for people with dementia and MCI.

Published
2020

29. Development of a percutaneous coronary intervention patient level composite measure for a clinical quality registry

Author

Ayton, D., Soh, S.E., Morello, R., Ahern, S., Earnest, A., Brennan, A., Lefkovits, J., Evans, S., Reid, Christopher, Ruseckaite, R., McNeil, J., Ayton, D., Soh, S.E., Morello, R., Ahern, S., Earnest, A., Brennan, A., Lefkovits, J., Evans, S., Reid, Christopher, Ruseckaite, R., and McNeil, J.

Abstract

© 2020 The Author(s). Background: Composite measures combine data to provide a comprehensive view of patient outcomes. Despite composite measures being a valuable tool to assess post-intervention outcomes, the patient perspective is often missing. The purpose of this study was to develop a composite measure for an established cardiac outcome registry, by combining clinical outcomes following percutaneous coronary interventions (PCI) with a patient-reported outcome measure (PROM) developed specifically for this population (MC-PROM). Methods: Two studies were undertaken. Study 1: Patients who had undergone a PCI at one of the three participating registry hospital sites completed the 5-item MC-PROM. Clinical outcome data for the patients (e.g. death, myocardial infarction, repeat vascularisation, new bleeding event) were collected 30 days post-intervention as part of routine data collection for the cardiac registry. Exploratory factor analysis of clinical outcomes and MC-PROM data was conducted to determine the minimum number of constructs to be included in a composite measure. Study 2: Clinical experts participated in a Delphi technique, consisting of three rounds of online surveys, to determine the clinical outcomes to be included and the weighting of the clinical outcomes and MC-PROM score for the composite measure. Results: Study 1: Routine clinical outcomes and the MC-PROM data were collected from 266 patients 30 days post PCI. The MC-PROM score was not significantly correlated with any clinical outcomes. Study 2: There was a relatively consistent approach to the weighting of the clinical outcomes and MC-PROM items by the expert panel (n = 18) across the three surveys with the exception of the clinical outcome of 'deceased at 30 days'. The final composite measure included five clinical outcomes within 30 days weighted at 90% (new heart failure, new myocardial infarction, new stent thrombosis, major bleeding event, new stroke, unplanned cardiac rehospitalisation) a

Published
2020

30. P083 Clinical progression of SARS-CoV-2 infection in people with cystic fibrosis: a global observational study

Author

McClenaghan, E., primary, Cosgriff, R., additional, Brownlee, K., additional, Ahern, S., additional, Burgel, P.-R., additional, Byrnes, C.A., additional, Colombo, C., additional, Corvol, H., additional, Cheng, S.Y., additional, Daneau, G., additional, Elbert, A., additional, Faro, A., additional, Goss, C.H., additional, Gulmans, V., additional, Gutierrez, H., additional, de Monestrol, I., additional, Jung, A., additional, Nährlich, L., additional, Kashirskaya, N., additional, Marshall, B.C., additional, McKone, E., additional, Middleton, P.G., additional, Mondejar-Lopez, P., additional, Pastor-Vivero, M.D., additional, Padoan, R., additional, Rizvi, S., additional, Ruseckaite, R., additional, Salvatore, M., additional, Stephenson, A.L., additional, da Silva Filho, L.V.R., additional, Melo, J., additional, Zampoli, M., additional, Abdrakhmanov, O., additional, Harutyunyan, S., additional, and Carr, S.B., additional

Published
2021
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36. Integrating research and system-wide practice in public health: lessons learnt from Better Start Bradford

Author

Dickerson, J, Bird, PK, Bryant, M, Dharni, N, Bridges, S, Willan, K, Ahern, S, Dunn, A, Nielsen, D, Uphoff, EP, Bywater, T, Bowyer-Crane, C, Sahota, P, Small, N, Howell, M, Thornton, G, Pickett, KE, McEachan, RRC, Wright, J, and Start, BSBB

Abstract

Many interventions that are delivered within public health services have little evidence of effect. Evaluating interventions that are being delivered as a part of usual practice offers opportunities to improve the evidence base of public health. However, such evaluation is challenging and requires the integration of research into system-wide practice. The Born in Bradford’s Better Start experimental birth cohort offers an opportunity to efficiently evaluate multiple complex community interventions to improve the health, wellbeing and development of children aged 0–3 years. Based on the learning from this programme, this paper offers a pragmatic and practical guide to researchers, public health commissioners and service providers to enable them to integrate research into their everyday practice, thus enabling relevant and robust evaluations within a complex and changing system. Using the principles of co-production the key challenges of integrating research and practice were identified, and appropriate strategies to overcome these, developed across five key stages: 1) Community and stakeholder engagement; 2) Intervention design; 3) Optimising routinely collected data; 4) Monitoring implementation; and 5) Evaluation. As a result of our learning we have developed comprehensive toolkits (https://borninbradford.nhs.uk/what-we-do/pregnancy-early-years/toolkit/) including: an operational guide through the service design process; an implementation and monitoring guide; and an evaluation framework. The evaluation framework incorporates implementation evaluations to enable understanding of intervention performance in practice, and quasi experimental approaches to infer causal effects in a timely manner. We also offer strategies to harness routinely collected data to enhance the efficiency and affordability of evaluations that are directly relevant to policy and practice. These strategies and tools will help researchers, commissioners and service providers to work together to evaluate interventions delivered in real-life settings. More importantly, however, we hope that they will support the development of a connected system that empowers practitioners and commissioners to embed innovation and improvement into their own practice, thus enabling them to learn, evaluate and improve their own services.

Published
2019

37. Irish Association for Cancer Research: Proceedings of annual scientific meeting held at Kinsale on April 15–16th, 1994

Author

Lawler, M., Locasciulli, A., Bacigalupo, A., Humphries, P., Ljungman, P., McCann, S. R., Nolan, N., McDermott, E. W., Reynolds, J. R., McCann, A., Rafferty, R., Sweeney, P., Carney, D., O’Higgins, N. J., Duffy, M. J., Gardiner, C., Reen, D. J., O’Connell, M. A., Kelleher, D., Hall, N., O’Neill, L. A. J., Long, A., McCarthy, J. V., Fernandes, R. S., Cotter, T. G., Ryan, E., Kitching, A., MacMathuna, P., Mulligan, E., Merriman, R., Dervan, P., Kelly, P., Gorey, T. F., Lennon, J. R., Crowe, J., Bennett, M. A., Kay, E. W., Curran, B., O’Donoghue, D. P., Leader, M., Croke, D. T., O’Connor, J. M., McKelvey-Martin, V. J., McKenna, P. G., O’Riordan, J. M., Tobin, A., O’Mahoney, M., Keogh, F. M., O’Riordan, J., McNamara, C., McEneaney, P., Daly, P. A., Farrell, M., Young, S., Gibbons, D., McCarthy, P., Mulcahy, H., Parfrey, N. A., Sheahan, K., Lambkin, H., Mothersill, C., Chin, D., Sheehan, K., Kelehan, P., Parfrey, N., Morrin, M., Khan, F., Delaney, P., Rowan, D. M., Orminston, W. J., Donnellan, P. P., Khalid, A., Kerin, M., O’Hanlon, D. M., Kent, P., Given, H. F., Kennedy, S. M., McGeoch, G., Spurr, N. K., Barrett, J., O’Sullivan, G., Collins, J. K., Willcocks, T., Kennedy, S., Dolan, J., Gallagher, W., McDermott, E., O’Higgins, N., Hagan, R., McManus, R., Ormiston, W., Daly, P., Sheils, O., McDermott, M., O’Briain, D. S., Maher, D., Costello, P., Flanagan, F., Stack, J., Ennis, J., Grimes, H., Yanni, A., Harrison, M., Lowry, W. S., Russell, S. E. H., Atkinson, R. J., White, P., Hickey, I., Bell, D. W., Biggart, D., Doyle, J., Staunton, M. J., Gaffney, E. F., Dervan, P. A., McCabe, M. M., Fennelly, J. J., Carney, D. N., O’Reilly, M., McMahon, J. N., Moriarty, M., Hurson, B., O’Neill, A. J., Magee, H., O’Loughlin, J., Dervan, P. A., Cremin, P., Orminston, W., McCarthy, J., Redmond, P., Duggan, S., Rea, S., Bouchier-Hayes, D., O’Donnell, J., Duggan, C., Crown, J., Bermingham, D., Nugent, A., Fleming, C., Crosby, P., Wolff, S., McCarthy, D., Walsh, C. Barry, Cassidy, M., Husain, S., Kay, E., Thornhilll, M., Whelan, D., Barry, D., Turner, M., Prenderville, W., Murphy, F., Prendiville, W., Gibson, G., O’Grady, T., Carmody, M., Donohoe, J., Walshe, J., Murphy, G. M., O’Donoghue, J., Kerin, K., Ahern, S., Molloy, K., Goulden, N., Pamphilon, D. H., O’Connell, M., Power, C., Leroux, A., Perricaudet, M., Walls, D., Britton, F., Brennan, L., Barnett, Y. A., Madden, B., Wakelin, L. P. G., Loughrey, H. C., Corley, P., Redmond, H. P., Watson, R. W. G., Keogh, I., O’Hanlon, D., Walsh, S., Callaghan, J., McNamara, M., Benedict-Smith, A., Barnes, C., Neylon, D., Fenton, M., Searcey, M., Topham, C. M., Wakelin, L. G., Howarth, N. M., Purohit, A., Reed, M. J., Potter, B. V. L., Hatton, W. J., McKerr, G., Harvey, D., Carson, J., Hannigan, B. M., McCarthy, P. J., McClean, S., Hill, B. T., Costelloe, C., Denny, W. A., Fingleton, B., McDonnell, S., Butler, M., Corbally, N., Dervan, P. A., Stephens, J. F., Martin, G., McGirl, A., Lawlor, E., Gardiner, N., Lynch, S., Arce, M. de, O’Brien, F., Duggan, A., O’Herlihy, S., Shanahan, F., O’Keeffe, G., McCann, S., Sweeney, K., Neill, A. O., Pamphilon, D., Sheridan, M., Reid, I., Seymour, C. B., Walshe, T., Hennessy, T. P., O’Mahony, A., O’Connell’, J., Lawlor, C., Nolan, S., Morrisey, D., Pedlow, P. J., Walsh, M., Lowry, S. W., McAleer, J. J. A., McKeown, S. R., Afrasiabi, M., Lappin, T. R. J., Joiner, B., Hirst, K. V., Hirst, D. G., Sweeney, E., VanderSpek, J., Murphy, J., and Foss, F.

Published
1995
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38. What matters most to patients following percutaneous coronary interventions? A new patient-reported outcome measure developed using Rasch analysis

Author

Soh, S.E., Barker, A.L., Ayton, D.R., Ahern, S., Morello, R., Lefkovits, J., Brennan, A.L., Evans, S., Zalcberg, J.R., Reid, Christopher, McNeil, J.J., Soh, S.E., Barker, A.L., Ayton, D.R., Ahern, S., Morello, R., Lefkovits, J., Brennan, A.L., Evans, S., Zalcberg, J.R., Reid, Christopher, and McNeil, J.J.

Abstract

© 2019 Soh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Introduction Measuring patient reported outcomes can improve the quality and effectiveness of healthcare interventions. The aim of this study was to identify the final set of items that can be included in a patient-reported outcome measure to assess recovery of patients following percutaneous coronary interventions. Methods A consecutive sample of 200 patients registered in the Victorian Cardiac Outcomes Registry participated in a telephone survey 30 days following their percutaneous cardiac procedure. Rasch analysis was used to select the best set of items to form a concise and psychometrically sound patient-reported outcome measure. Key measurement properties assessed included overall fit to the Rasch measurement model, unidimensionality, response formats (thresholds), targeting, internal consistency and measurement invariance. Results Five items were identified as being reliable and valid measures of patient-reported outcomes: pain or discomfort, shortness of breath, confidence in performing usual activities, feeling unhappy and having trouble sleeping. Data showed overall fit to a Rasch model of expected item functioning (χ2 16.99; p = 0.07) and all items demonstrated unidimensionality (t-test less than 0.05 threshold value). Internal consistency was acceptable (equivalent Cronbach’s α 0.65) given there are only five items, but there was a ceiling effect (mean logit score -1.24) with compromised score precision for patients with better recovery. Conclusions We identified a succinct set of items that can be used in a patient-reported outcome measure following percutaneous coronary interventions. This patient-report outcome measure has good structural validity and acceptable internal consistency. While further psyc

Published
2019

39. Development of a binational thyroid cancer clinical quality registry: a protocol paper.

Author

Ioannou, LJ, Serpell, J, Dean, J, Bendinelli, C, Gough, J, Lisewski, D, Miller, JA, Meyer-Rochow, W, Sidhu, S, Topliss, D, Walters, D, Zalcberg, J, Ahern, S, Ioannou, LJ, Serpell, J, Dean, J, Bendinelli, C, Gough, J, Lisewski, D, Miller, JA, Meyer-Rochow, W, Sidhu, S, Topliss, D, Walters, D, Zalcberg, J, and Ahern, S

Abstract

INTRODUCTION: The occurrence of thyroid cancer is increasing throughout the developed world and since the 1990s has become the fastest increasing malignancy. In 2014, a total of 2693 Australians and 302 New Zealanders were diagnosed with thyroid cancer, with this number projected to rise to 3650 in 2018. The purpose of this protocol is to establish a binational population-based clinical quality registry with the aim of monitoring and improving the quality of care provided to patients diagnosed with thyroid cancer in Australia and New Zealand. METHODS AND ANALYSIS: The Australian and New Zealand Thyroid Cancer Registry (ANZTCR) aims to capture clinical data for all patients over the age of 16 years with thyroid cancer, confirmed by histopathology report, who have been diagnosed, assessed or treated at a contributing hospital. A multidisciplinary steering committee was formed which, with operational support from Monash University, established the ANZTCR in early 2017. The pilot phase of the registry is currently operating in Victoria, New South Wales, Queensland, Western Australia and South Australia, with over 20 sites expected to come on board across Australia in 2018. A modified Delphi process was undertaken to determine the clinical quality indicators to be reported by the registry, and a minimum data set was developed comprising information regarding thyroid cancer diagnosis, pathology, surgery and 90-day follow-up. FUTURE PLANS: The establishment of the ANZTCR provides the opportunity for Australia and New Zealand to further understand current practice in the treatment of thyroid cancer and identify variation in outcomes. The engagement of endocrine surgeons in supporting this initiative is crucial. While the pilot registry has a focus on early clinical outcomes, it is anticipated that future collection of longer term outcome data particularly for patients with poor prognostic disease will add significant further value to the registry.

Published
2019

40. Developing a Preliminary Conceptual Framework for Guidelines on Inclusion of Patient Reported-Outcome Measures (PROMs) in Clinical Quality Registries.

Author

Ruseckaite, R, Maharaj, AD, Krysinska, K, Dean, J, Ahern, S, Ruseckaite, R, Maharaj, AD, Krysinska, K, Dean, J, and Ahern, S

Abstract

PURPOSE: Patient-centred and value-based health-care organisations are increasingly recognising the importance of the patient perspective in the measurement and evaluation of health outcomes. This has been primarily implemented using patient-reported outcome measures (PROMs). Clinical quality registries (CQRs) are specifically designed to improve direct clinical care, benchmark health-care provision and inform health service planning and policy. Despite CQRs having incorporated the patient perspective to support the evaluation of health-care provision, no evidence-based guidelines for inclusion of PROMs in CQRs exist. This has led to substantial heterogeneity in capturing and reporting PROMs within this setting. This publication is the first in a series describing the development of evidence-informed guidelines for PROMs inclusion within CQRs in Australia. METHODS: This study consisted of three components: 1) a literature review of existing evidence of guidelines, enablers, barriers, and lessons learnt of PROMs use within the CQRs setting; 2) a survey of Australian CQRs to determine current practices for PROMs use and reporting; and 3) development of a preliminary conceptual framework for PROMs inclusion in CQRs. RESULTS: Content analysis of the literature review and survey of 66 Australian registries elicited eight categories for the conceptual framework. The framework covers eight components: rationale, setting, ethics, selection of PROMs, administration, data management, statistical methods, feedback, and reporting. CONCLUSION: We developed a preliminary conceptual framework, which classified findings, from both the literature and the survey, into broad categories ranging from initial development to outcome dissemination providing the structure for development of guidelines in the next phase of this project, engaging national and international leaders in health-related quality of life research, clinicians, researchers, patient advocates and consumers.

Published
2019

45. Evaluating the impact of 2006 Australasian Clinical Practice Guidelines for nutrition in children with cystic fibrosis in Australia.

Author

Ahern S., Wainwright C., Armstrong D., Pekin N., Ruseckaite R., King S., Earnest A., Carr E., Oldroyd J., Ahern S., Wainwright C., Armstrong D., Pekin N., Ruseckaite R., King S., Earnest A., Carr E., and Oldroyd J.

Abstract

Objectives: To determine the association between the implementation of the 2006 Australasian Clinical Practice Guidelines for Nutrition in Cystic Fibrosis (CF) and the nutritional status of children participating in the Australian Cystic Fibrosis Data Registry (ACFDR). Method(s): This research consisted of a quantitative study using ACFDR data and a survey of clinicians and dietitians treating children with CF. Two independent cohorts of children (2-5 years and 6-11 years) were selected from ACFDR between 1998 and 2014 (N = 2304). Generalised estimating equation model was used to assess weight, height and body mass index (BMI) z-scores for each patient before and after the implementation of the nutrition guidelines. A nationwide online survey was sent to 48 clinicians to explore the enablers and barriers to implementation of the guidelines. Result(s): Data analysis showed significant increase (p < 0.05) in mean weight, height and BMI z-scores ranging from 0.06 to 0.18 after implementation of the guidelines in both cohorts of children. Nineteen (39%) clinicians participated in the survey. The majority of the respondents adopted the recommendations into their practice and used the guidelines as part of their professional development. Structural barriers included a lack of adequate staff resources and clinic space for consultations, inappropriate staff classification, high staff turnover and lack of mentoring support. Conclusion(s): In children participating in the ACFDR, nutritional status improved after the implementation of the 2006 guidelines. Survey results revealed enablers and barriers to guideline implementation and will inform implementation strategies for the revised Australasian nutrition guidelines for CF, released in 2017.Copyright © 2018

Published
2018

46. Evaluating the impact of 2006 clinical practice guidelines for nutrition in children with cystic fibrosis in Australia.

Author

Carr E., Ahern S., Oldroyd J., Earnest A., Sims G., Wainwright C., Armstrong D., Ruseckaite R., Pekin N., King S., Carr E., Ahern S., Oldroyd J., Earnest A., Sims G., Wainwright C., Armstrong D., Ruseckaite R., Pekin N., and King S.

Abstract

Objectives: To determine the association between the implementation of the 2006 Australasian Clinical Practice Guidelines for Nutrition in Cystic Fibrosis (CF) and the nutritional status of children participating in the Australian Cystic Fibrosis Data Registry (ACFDR) until 2014. Method(s): This mixed methods research consisted of a historical cohort study using ACFDR data and a survey of clinicians treating children with CF. Two cohorts of children (<6 and 6-11 years) were selected from ACFDR within 1998-2005 (n = 1987) and followed longitudinally until 2014. Nutritional status was assessed using weight and height z-scores for each patient on the occasion of best lung function annually. Generalised estimating equation model adjusted for sex, age, use of dornase alfa, number of ever colonised positive sample of pseudomonas and G551D mutation compared the period of 1998-2006 (pre-implementation) and 2007-2014 (post-implementation). A nationwide online survey was sent to 50 CF clinicians to explore their views on the impact of guidelines. Result(s): Data analysis showed significant increases (p < 0.05) in mean weight and height z-scores (0.16, 95%CI: 0.10-0.22 and 0.05, 95%CI: 0.00-0.10 respectively) after 2007, in those <6 years. The effectwas more marked among those aged 6-11, with mean changes inweight and height z-scores significantly improving after the implementation of guidelines (0.28, 95% CI: 0.02-0.54 and 0.33, 95%CI: 0.07-0.59 respectively). Survey results are undergoing analysis and will be presented at the conference. Conclusion(s): Study results suggest that in children participating in the ACFDR, nutritional status improved after the implementation of the 2006 guidelines. Survey results will allow us to identify enablers and barriers to guideline implementation and inform implementation strategies for the revised Australasian nutrition guidelines for CF, released in late 2017.

Published
2018

47. Symptoms and feelings valued by patients after a percutaneous coronary intervention: a discrete-choice experiment to inform development of a new patient-reported outcome

Author

Barker, AL, Peeters, G, Morello, RT, Norman, R, Ayton, D, Lefkovits, J, Brennan, A, Evans, SM, Zalcberg, J, Reid, C, Ahern, S, Soh, S-E, Stoelwinder, J, McNeil, JJ, Barker, AL, Peeters, G, Morello, RT, Norman, R, Ayton, D, Lefkovits, J, Brennan, A, Evans, SM, Zalcberg, J, Reid, C, Ahern, S, Soh, S-E, Stoelwinder, J, and McNeil, JJ

Abstract

OBJECTIVE: To inform the development of a patient-reported outcome measure, the aim of this study was to identify which symptoms and feelings following percutaneous coronary intervention (PCI) are most important to patients. DESIGN: Discrete-choice experiment consisting of two hypothetical scenarios of 10 symptoms and feelings (pain or discomfort; shortness of breath; concern/worry about heart problems; tiredness; confidence to do usual activities; ability to do usual activities; happiness; sleep disturbance; dizziness or light-headedness and bruising) experienced after PCI, described by three levels (never, some of the time, most of the time). Preference weights were estimated using a conditional logit model. SETTING: Four Australian public hospitals that contribute to the Victorian Cardiac Outcomes Registry (VCOR) and a private insurer's claim database. PARTICIPANTS: 138 people aged >18 years who had undergone a PCI in the previous 6 months. MAIN OUTCOME MEASURES: Patient preferences via trade-offs between 10 feelings and symptoms. RESULTS: Of the 138 individuals recruited, 129 (93%) completed all 16 choice sets. Conditional logit parameter estimates were mostly monotonic (eg, moving to worse levels for each individual symptom and feeling made the option less attractive). When comparing the magnitude of the coefficients (based on the coefficient of the worst level relative to best level in each item), feeling unhappy was the symptom or feeling that most influenced perception of a least-preferred PCI outcome (OR 0.42, 95% CI 0.34 to 0.51, p<0.0001) and the least influential was bruising (OR 0.81, 95% CI 0.67 to 0.99, p=0.04). CONCLUSION: This study provides new insights into how patients value symptoms and feelings they experience following a PCI.

Published
2018

48. Symptoms and feelings valued by patients after a percutaneous coronary intervention: A discrete-choice experiment to inform development of a new patient-reported outcome

Author

Barker, A., Peeters, G., Morello, R., Norman, Richard, Ayton, D., Lefkovits, J., Brennan, Angela, Evans, S., Zalcberg, J., Reid, C., Ahern, S., Soh, S., Stoelwinder, J., McNeil, J., Barker, A., Peeters, G., Morello, R., Norman, Richard, Ayton, D., Lefkovits, J., Brennan, Angela, Evans, S., Zalcberg, J., Reid, C., Ahern, S., Soh, S., Stoelwinder, J., and McNeil, J.

Abstract

Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. Objective To inform the development of a patient-reported outcome measure, the aim of this study was to identify which symptoms and feelings following percutaneous coronary intervention (PCI) are most important to patients. Design Discrete-choice experiment consisting of two hypothetical scenarios of 10 symptoms and feelings (pain or discomfort; shortness of breath; concern/worry about heart problems; tiredness; confidence to do usual activities; ability to do usual activities; happiness; sleep disturbance; dizziness or light-headedness and bruising) experienced after PCI, described by three levels (never, some of the time, most of the time). Preference weights were estimated using a conditional logit model. Setting Four Australian public hospitals that contribute to the Victorian Cardiac Outcomes Registry (VCOR) and a private insurer's claim database. Participants 138 people aged >18 years who had undergone a PCI in the previous 6 months. Main outcome measures Patient preferences via trade-offs between 10 feelings and symptoms. Results Of the 138 individuals recruited, 129 (93%) completed all 16 choice sets. Conditional logit parameter estimates were mostly monotonic (eg, moving to worse levels for each individual symptom and feeling made the option less attractive). When comparing the magnitude of the coefficients (based on the coefficient of the worst level relative to best level in each item), feeling unhappy was the symptom or feeling that most influenced perception of a least-preferred PCI outcome (OR 0.42, 95% CI 0.34 to 0.51, p<0.0001) and the least influential was bruising (OR 0.81, 95% CI 0.67 to 0.99, p=0.04). Conclusion This study provides new insights into how patients value symptoms and feelings they experience following a PCI.

Published
2018

50. Collecting patient-reported outcome measures

Author

Ahern, S, Ruseckaite, R, Ackerman, IN, Ahern, S, Ruseckaite, R, and Ackerman, IN

Abstract

Patient-reported outcome measures (PROM) are potentially useful outcome measures that may be reported at the individual clinical, health service and/or health system level. PROM require clearly defined patient populations to enable comparisons, and are most meaningful when integrated with clinical data sets. Where possible PROM should be measured pre- and post-intervention using reliable and validated tools. A variety of PROM collection methods exist which each have strengths and limitations, with selection depending on their purpose and patient factors. PROM programmes should be developed with high levels of clinician support and patient input to maximise collection of clinically relevant information.

Published
2017

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