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Shi Q, Shambhu S, Marshall A, Rose-Kennedy E, Robertson H, Paullin M, Jones WS, Cziraky M, Haynes K. Role of health plan administrative claims data in participant recruitment for pragmatic clinical trials: An Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-term Effectiveness (ADAPTABLE) example. Clin Trials 2020; 17:212-222. [DOI: 10.1177/1740774520902989] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Aim: The purpose of this study is to evaluate HealthCore/Anthem Research Network recruitment strategies, compare response and enrollment rates for different recruitment strategies, and describe demographic and clinical characteristics of responders and enrollees. Methods: HealthCore/Anthem Research Network, a part of the Health Plan Research Network of the Patient-Centered Clinical Data Research Network, used administrative claims data to identify eligible health plan members for potential participation in the Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-term Effectiveness study. We approached health plan members, identified with a validated Patient-Centered Clinical Data Research Network common data model computable phenotype, and their clinical providers during November 2017 to August 2018. Providers were offered the option to exclude their patients’ participation in Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-term Effectiveness prior to our direct patient (member) outreach. Member identification was in two phases: Phase 1: 1 January 2006 to 1 April 2017, and Phase 2: 1 January 2006 to 2 February 2018. Phase 1 consisted of two batches of mail and one phone call per patient. In Phase 2, which included two similar batches of patients, outreach was via either mail or brochure and one phone call. Results: Phase 1 and Phase 2 included 133,373 and 51,777 members, respectively. We engaged 28,593 providers in Phase 1, and 5077 in Phase 2. In Phase 1, 264,158 mixed email/mail messages were delivered to 133,373 members, followed by 90,481 phone calls from November 2017 to February 2018. In Phase 2, after simple randomization to letter or brochure, 51,777 members were sent email/mail or mailed brochure in three waves from May 2018 to July 2018. In this 9-week period, 51,623 communications were sent to 25,914 members in the email/mail group, and 50,160 brochures to 25,863 in the brochure group. Following email/mail or mailed brochure outreach, 16,624 and 16,580 calls were made to the groups, respectively. Overall, 1549 health plan members visited the study portal by 1 September 2018; 355 electronically signed the Informed Consent Form and enrolled. Mailed brochures drove more portal visits in Phase 2, but a lower percentage of responders enrolled. Recruitment was better in Phase 2—2.3 enrollees per 1000 outreach members versus 1.8 in Phase 1. Conclusion: This study showed the ability of a health plan within Patient-Centered Clinical Data Research Network to identify potential study participants with administrative claims, and use different outreach methods to facilitate recruitment and enrollment for pragmatic clinical trials.
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Affiliation(s)
| | | | | | | | - Holly Robertson
- Duke University Medical Center, Duke University, Durham, NC, USA
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Ma Q, Chung H, Shambhu S, Roe M, Cziraky M, Jones WS, Haynes K. Administrative claims data to support pragmatic clinical trial outcome ascertainment on cardiovascular health. Clin Trials 2019; 16:419-430. [PMID: 31081367 DOI: 10.1177/1740774519846853] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND/AIMS Health plan administrative claims data present a cost-effective complement to traditional trial-specific ascertainment of clinical events typically conducted through patient report or a single health system electronic health record. We aim to demonstrate the value of health plan claims data in improving the capture of endpoints in longitudinal pragmatic clinical trials. METHODS This retrospective cohort study paralleled the design of the ADAPTABLE (Aspirin Dosing: A Patient-centric Trial Assessing Benefits and Long-Term Effectiveness) trial designed to compare the effectiveness of two doses of aspirin. We applied the ADAPTABLE identification query in claims data from Anthem, an American health insurance company, and identified health plan members who met the ADAPTABLE trial criteria. Among the ADAPTABLE eligible members, we selected overlapping members with PCORnet Clinical Data Research Networks in the 2 years prior to the index date (1 April 2014). PCORnet Clinical Data Research Networks consist of network partners (or healthcare systems) that store their electronic health record data in the same format to support multi-institutional research. ADAPTABLE outcome events-cardiovascular hospitalizations including admissions for myocardial infarction, stroke, or cardiac procedures; hospitalizations for major bleeding; and in-hospital deaths-were evaluated for a 2-year follow-up period. Events were classified as within or outside PCORnet Clinical Data Research Networks using facility identifiers affiliated with each hospital stay. Patient characteristics were examined with descriptive statistics, and incidence rates were reported for available Clinical Data Research Networks and claims data. RESULTS Among 884,311 ADAPTABLE eligible health plan members, 11,101 patients overlapped with PCORnet Clinical Data Research Networks. Average age was 70 years, 71% were male, and average follow-up was 20.7 months. Patients had 1521 cardiovascular hospitalizations (571 (37.5%) occurred outside PCORnet Clinical Data Research Networks), 710 for major bleeding (296 (41.7%) outside PCORnet Clinical Data Research Networks), and 196 in-hospital deaths (67 (34.2%) outside PCORnet Clinical Data Research Networks). Incidence rates (events per1000 patient-months) differed between available network partners and claims data: cardiovascular hospitalizations, 4.1 (95% confidence interval: 3.9, 4.4) versus 6.6 (95% confidence interval: 6.3, 7.0), major bleeding, 1.8 (95% confidence interval: 1.6, 2.0) versus 3.1 (95% confidence interval: 2.9, 3.3), and in-hospital death, 0.56 (95% confidence interval: 0.47, 0.67) versus 0.85 (95% confidence interval: 0.74, 0.98), respectively. CONCLUSION This study demonstrated the value of supplementing longitudinal site-based clinical studies with administrative claims data. Our results suggest that claims data together with network partner electronic health record data constitute an effective vehicle to capture patient outcomes since >30% of patients have non-fatal and fatal events outside of enrolling sites.
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Affiliation(s)
- Qinli Ma
- 1 HealthCore, Inc., Wilmington, DE, USA
| | | | | | - Matthew Roe
- 2 Duke Heart Center, Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA
| | | | - W Schuyler Jones
- 2 Duke Heart Center, Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA
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Moyle W, Jones C, Murfield J, Thalib L, Beattie E, Shum D, Draper B. Using a therapeutic companion robot for dementia symptoms in long-term care: reflections from a cluster-RCT. Aging Ment Health 2019; 23:329-336. [PMID: 29282989 DOI: 10.1080/13607863.2017.1421617] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
OBJECTIVES We undertook a cluster-randomised controlled trial exploring the effect of a therapeutic companion robot (PARO) compared to a look-alike plush toy and usual care on dementia symptoms of long-term care residents. Complementing the reported quantitative outcomes , this paper provides critical reflection and commentary on individual participant responses to PARO, observed through video recordings , with a view to informing clinical practice and research. METHOD A descriptive, qualitative design with five participants selected from the PARO intervention arm of the trial. The trial is registered with the Australian New Zealand Clinical Trials Registry (ACTRN12614000508673). RESULTS The five participants and their responses to PARO are presented in terms of three issues: i.) Different pre-intervention clinical presentations and different responses; ii.) Same individual, different response - the need for continual assessment and review; and iii.) The ethics of giving and retrieving PARO. Implications for clinical practice and future research are discussed in relation to each issue. CONCLUSION The findings suggest that one approach does not fit all, and that there is considerable variation in responses to PARO. A number of recommendations are discussed to aid the delivery of psychosocial interventions with PARO in practice, as well as to guide future research.
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Affiliation(s)
- Wendy Moyle
- a Menzies Health Institute Queensland, Griffith University , Nathan, Brisbane , Queensland , Australia.,b School of Nursing and Midwifery, Nathan Campus, Griffith University , Nathan, Brisbane , Queensland , Australia
| | - Cindy Jones
- a Menzies Health Institute Queensland, Griffith University , Nathan, Brisbane , Queensland , Australia.,b School of Nursing and Midwifery, Nathan Campus, Griffith University , Nathan, Brisbane , Queensland , Australia
| | - Jenny Murfield
- a Menzies Health Institute Queensland, Griffith University , Nathan, Brisbane , Queensland , Australia
| | - Lukman Thalib
- c Department of Public Health, College of Health Sciences , Qatar University , Qatar
| | - Elizabeth Beattie
- d School of Nursing , Queensland University of Technology , Kelvin Grove, Brisbane , Queensland , Australia
| | - David Shum
- a Menzies Health Institute Queensland, Griffith University , Nathan, Brisbane , Queensland , Australia.,e School of Applied Psychology, Mt Gravatt Campus, Griffith University , Brisbane , Queensland , Australia.,f Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health , Institute of Psychology, Chinese Academy of Sciences , Beijing , China
| | - Brian Draper
- g School of Psychiatry, University of New South Wales , Sydney , Australia
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Weerasekara I, Osmotherly PG, Snodgrass SJ, Tessier J, Rivett DA. Effects of mobilisation with movement (MWM) on anatomical and clinical characteristics of chronic ankle instability: a randomised controlled trial protocol. BMC Musculoskelet Disord 2019; 20:75. [PMID: 30760256 PMCID: PMC6375188 DOI: 10.1186/s12891-019-2447-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Accepted: 02/01/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Up to 40% of individuals who sprain their ankle develop chronic ankle instability (CAI). One treatment option for this debilitating condition is joint mobilisation. There is preliminary evidence that Mulligan's Mobilisation With Movement (MWM) is effective for treating patients with CAI, but the mechanisms by which it works are unclear, with Mulligan suggesting a repositioning of the fibula. This randomised controlled trial aims to determine the effects of MWM on anatomical and clinical characteristics of CAI. METHODS Participants 18 years or over with CAI will be accepted into the study if they satisfy the inclusion and exclusion criteria endorsed by the International Ankle Consortium. They will be randomised into the experimental group (MWM) or the placebo group (detuned laser) and will receive the assigned intervention over 4 weeks. General joint hypermobility and the presence of mechanical instability of the ankle will be recorded during the first visit. Further, position of the fibula, self-reported function, ankle dorsiflexion range, pressure pain threshold, pain intensity, and static and dynamic balance will be assessed at baseline, and at the conclusion of course of intervention. Follow-up data will be collected at the twelfth week and at the twelfth month following intervention. DISCUSSION Effectiveness of MWM on clinically relevant outcomes, including long term benefits will be evaluated. The capacity of MWM to reverse any positional fault of the fibula and the association of any positional fault with other clinically important outcomes for CAI will be explored. Proposed biomechanical mechanisms of fibular positional fault and other neurophysiological mechanisms that may explain the treatment effects of MWM will be further explored. The long term effectiveness of MWM in CAI will also be assessed. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry; ACTRN12617001467325 (17/10/2017).
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Affiliation(s)
- Ishanka Weerasekara
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia
| | - Peter Grant Osmotherly
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia
| | - Suzanne Jordan Snodgrass
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia
| | - John Tessier
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia
| | - Darren Anthony Rivett
- School of Health Sciences, Faculty of Health and Medicine, The University of Newcastle, Callaghan, Australia
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Gasparini M, Chevret S. Intensive care medicine in 2050: clinical trials designs. Intensive Care Med 2018; 45:668-670. [PMID: 30430206 DOI: 10.1007/s00134-018-5364-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Accepted: 08/30/2018] [Indexed: 01/15/2023]
Affiliation(s)
- M Gasparini
- Department of Mathematical Sciences, Politecnico di Torino, Turin, Italy
| | - S Chevret
- AP-HP, Saint-Louis Hospital, Biostatistics Team, Paris, France.
- Paris Diderot University, Inserm, ECSTRRA Team, Paris, France.
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Skovlund E, Leufkens H, Smyth J. The use of real-world data in cancer drug development. Eur J Cancer 2018; 101:69-76. [DOI: 10.1016/j.ejca.2018.06.036] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Accepted: 06/23/2018] [Indexed: 01/15/2023]
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