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Chow CK, Klimis H, Thiagalingam A, Redfern J, Hillis GS, Brieger D, Atherton J, Bhindi R, Chew DP, Collins N, Andrew Fitzpatrick M, Juergens C, Kangaharan N, Maiorana A, McGrady M, Poulter R, Shetty P, Waites J, Hamilton Craig C, Thompson P, Stepien S, Von Huben A, Rodgers A. Text Messages to Improve Medication Adherence and Secondary Prevention After Acute Coronary Syndrome: The TEXTMEDS Randomized Clinical Trial. Circulation 2022; 145:1443-1455. [PMID: 35533220 DOI: 10.1161/circulationaha.121.056161] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
BACKGROUND TEXTMEDS (Text Messages to Improve Medication Adherence and Secondary Prevention After Acute Coronary Syndrome) examined the effects of text message-delivered cardiac education and support on medication adherence after an acute coronary syndrome. METHODS TEXTMEDS was a single-blind, multicenter, randomized controlled trial of patients after acute coronary syndrome. The control group received usual care (secondary prevention as determined by the treating clinician); the intervention group also received multiple motivational and supportive weekly text messages on medications and healthy lifestyle with the opportunity for 2-way communication (text or telephone). The primary end point of self-reported medication adherence was the percentage of patients who were adherent, defined as >80% adherence to each of up to 5 indicated cardioprotective medications, at both 6 and 12 months. RESULTS A total of 1424 patients (mean age, 58 years [SD, 11]; 79% male) were randomized from 18 Australian public teaching hospitals. There was no significant difference in the primary end point of self-reported medication adherence between the intervention and control groups (relative risk, 0.93 [95% CI, 0.84-1.03]; P=0.15). There was no difference between intervention and control groups at 12 months in adherence to individual medications (aspirin, 96% vs 96%; β-blocker, 84% vs 84%; angiotensin-converting enzyme inhibitor/angiotensin receptor blocker, 77% vs 80%; statin, 95% vs 95%; second antiplatelet, 84% vs 84% [all P>0.05]), systolic blood pressure (130 vs 129 mm Hg; P=0.26), low-density lipoprotein cholesterol (2.0 vs 1.9 mmol/L; P=0.34), smoking (P=0.59), or exercising regularly (71% vs 68%; P=0.52). There were small differences in lifestyle risk factors in favor of intervention on body mass index <25 kg/m2 (21% vs 18%; P=0.01), eating ≥5 servings per day of vegetables (9% vs 5%; P=0.03), and eating ≥2 servings per day of fruit (44% vs 39%; P=0.01). CONCLUSIONS A text message-based program had no effect on medical adherence but small effects on lifestyle risk factors. REGISTRATION URL: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=364448; Unique identifier: ANZCTR ACTRN12613000793718.
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Affiliation(s)
- Clara K Chow
- Westmead Applied Research Institute (C.K.C., H.K., A.T., A.V.H., A.R.), University of Sydney, Australia.,Department of Cardiology, Westmead Hospital, Sydney, Australia (C.K.C., H.K., A.T.)
| | - Harry Klimis
- Westmead Applied Research Institute (C.K.C., H.K., A.T., A.V.H., A.R.), University of Sydney, Australia.,Department of Cardiology, Westmead Hospital, Sydney, Australia (C.K.C., H.K., A.T.)
| | - Aravinda Thiagalingam
- Westmead Applied Research Institute (C.K.C., H.K., A.T., A.V.H., A.R.), University of Sydney, Australia.,Department of Cardiology, Westmead Hospital, Sydney, Australia (C.K.C., H.K., A.T.)
| | - Julie Redfern
- Faculty of Medicine and Health (J.R., R.B., M.A.F., M.M.), University of Sydney, Australia
| | - Graham S Hillis
- University of Western Australia, Perth (G.S.H., P.T.).,Department of Cardiology, Royal Perth Hospital, Australia (G.S.H.)
| | - David Brieger
- ANZAC Research Institute (D.B.), University of Sydney, Australia
| | - John Atherton
- Department of Cardiology, Royal Brisbane and Women's Hospital, Brisbane, Australia (J.A.).,The University of Queensland, Brisbane, Australia (J.A., C.H.C.)
| | - Ravinay Bhindi
- Faculty of Medicine and Health (J.R., R.B., M.A.F., M.M.), University of Sydney, Australia.,Department of Cardiology, Royal North Shore Hospital, Sydney, Australia (R.B.)
| | - Derek P Chew
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia (D.P.C., N.K.)
| | | | | | - Craig Juergens
- Faculty of Medicine, The University of New South Wales, Sydney, Australia (C.J.).,Department of Cardiology, Liverpool Hospital, Sydney, Australia (C.J.)
| | - Nadarajah Kangaharan
- College of Medicine and Public Health, Flinders University, Adelaide, South Australia (D.P.C., N.K.).,Department of Cardiology, Royal Darwin Hospital, Darwin, Australia (N.K.).,Menzies School of Health Research, Darwin, Australia (N.K.)
| | - Andrew Maiorana
- Allied Health Department, Fiona Stanley Hospital, Perth, Australia (A.M.).,School of Allied Health, Curtin University, Perth, Australia (A.M.)
| | - Michele McGrady
- Faculty of Medicine and Health (J.R., R.B., M.A.F., M.M.), University of Sydney, Australia.,Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia (M.M.)
| | - Rohan Poulter
- Department of Cardiology, Sunshine Coast University Hospital, Brisbane, Australia (R.P.)
| | - Pratap Shetty
- Department of Cardiology, Wollongong and Shellharbour Hospitals, Wollongong, Australia (P.S.)
| | | | - Christian Hamilton Craig
- The University of Queensland, Brisbane, Australia (J.A., C.H.C.).,Department of Cardiology, Prince Charles Hospital, Brisbane, Australia (C.H.C.)
| | - Peter Thompson
- University of Western Australia, Perth (G.S.H., P.T.).,Department of Cardiology, Sir Charles Gairdner Hospital, Perth, Australia (P.T.).,Harry Perkins Institute of Medical Research, Perth, Australia (P.T.)
| | - Sandrine Stepien
- The George Institute for Global Health, Sydney, Australia (C.K.C., H.K., A.R., G.S.H., S.S., A.R.)
| | - Amy Von Huben
- Westmead Applied Research Institute (C.K.C., H.K., A.T., A.V.H., A.R.), University of Sydney, Australia
| | - Anthony Rodgers
- Westmead Applied Research Institute (C.K.C., H.K., A.T., A.V.H., A.R.), University of Sydney, Australia
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Klimis H, Thiagalingam A, McIntyre D, Marschner S, Von Huben A, Chow CK. Text messages for primary prevention of cardiovascular disease: The TextMe2 randomized clinical trial. Am Heart J 2021; 242:33-44. [PMID: 34428440 DOI: 10.1016/j.ahj.2021.08.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 08/10/2021] [Indexed: 01/14/2023]
Abstract
BACKGROUND Primary prevention guidelines emphasize the importance of lifestyle modification, but many at high-risk have suboptimal cardiovascular risk factor (CVRF) control. Text message support may improve control, but the evidence is sparse. Our objective was to determine the impact of text messages on multiple CVRFs in a moderate-high risk primary prevention cohort. METHODS This study was a single-blind randomized clinical trial comparing semi-personalized text message-based support to standard care. A random sample of adults with 10-year absolute cardiovascular risk score ≥10% and without coronary heart disease, referred from February 2019 to January 2020, were recruited from an outpatient cardiology clinic in a large tertiary hospital in Sydney, Australia. Patients were randomized 1:1 to intervention or control. Intervention participants received 4 texts per week over 6 months, and standard care, with content covering: diet, physical activity, smoking, general cardiovascular health, and medication adherence. Controls received standard care only. Content was semipersonalized (smoking status, vegetarian or not-vegetarian, physical ability, taking medications or not) and delivered randomly using automated software. The primary outcome was the difference in the proportion of patients who have ≥3 uncontrolled CVRFs (out of: low-density lipoprotein cholesterol >2.0 mmol/L, blood pressure >140/90 mm Hg, body mass index ≥25 kg/m2, physical inactivity, current smoker) at 6 months adjusted for baseline. Secondary outcomes included differences in biomedical and behavioral CVRFs. RESULTS Among 295 eligible participants, 246 (mean age, 58.6 ± 10.7 years; 39.4% female) were randomized to intervention (n = 124) or control (n = 122). At 6 months, there was no significant difference in the proportion of patients with ≥3 uncontrolled CVRFs (adjusted relative risk [RR] 0.98; 95% confidence interval [CI] 0.75-1.29; P = .88). Intervention participants were less likely to be physically inactive (adjusted RR 0.72; 95% CI 0.57-0.92; P = .01), but there were no significant changes in other single CVRFs. More intervention participants reduced the number of uncontrolled CVRFs at 6-months from baseline than controls (86% vs 75%; RR 1.15; 95% CI 1.00-1.32; P = .04). CONCLUSIONS In moderate-high cardiovascular risk primary prevention, text message-based support did not significantly reduce the proportion of patients with ≥3 uncontrolled CVRFs. However, the program did motivate behavior change and significantly improved cardiovascular risk factor control overall. Larger multicenter studies are needed.
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Affiliation(s)
- Harry Klimis
- Westmead Applied Research Centre and Faculty of Medicine and Health, University of Sydney, Westmead, NSW, Australia; Department of Cardiology, Westmead Hospital, Sydney, NSW, Australia.
| | - Aravinda Thiagalingam
- Westmead Applied Research Centre and Faculty of Medicine and Health, University of Sydney, Westmead, NSW, Australia; Department of Cardiology, Westmead Hospital, Sydney, NSW, Australia
| | - Daniel McIntyre
- Westmead Applied Research Centre and Faculty of Medicine and Health, University of Sydney, Westmead, NSW, Australia
| | - Simone Marschner
- Westmead Applied Research Centre and Faculty of Medicine and Health, University of Sydney, Westmead, NSW, Australia
| | - Amy Von Huben
- Westmead Applied Research Centre and Faculty of Medicine and Health, University of Sydney, Westmead, NSW, Australia
| | - Clara K Chow
- Westmead Applied Research Centre and Faculty of Medicine and Health, University of Sydney, Westmead, NSW, Australia; Department of Cardiology, Westmead Hospital, Sydney, NSW, Australia
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Fritsch CG, Ferreira PH, Prior JL, Clavisi O, Chow CK, Redfern J, Thiagalingam A, Lung T, McLachlan AJ, Ferreira ML. TEXT4myBACK: A Text Message Intervention to Improve Function in People With Low Back Pain-Protocol of a Randomized Controlled Trial. Phys Ther 2021; 101:6184952. [PMID: 33764461 DOI: 10.1093/ptj/pzab100] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 02/07/2021] [Accepted: 03/10/2021] [Indexed: 02/05/2023]
Abstract
OBJECTIVE The authors sought to describe the protocol of a randomized controlled trial that will investigate the effects of the TEXT4myBACK self-management text message intervention compared with control in people with low back pain (LBP). METHODS A single-blind (assessor and statistician), randomized controlled trial with economic analysis and process evaluation will be conducted. A total of 304 people with non-specific LBP of less than 12 weeks will be enrolled and randomly allocated either to TEXT4myBACK intervention or control groups. The TEXT4myBACK intervention group will receive 4 semi-personalized text messages per week providing advice, motivation, and information about LBP, physical activity, sleep, mood, use of care, and medication during 12 weeks. The control group will receive 1 text message with a link to a LBP and diet online information package. Outcomes will be assessed at baseline and 3, 6, and 12 months. The primary outcome will be function assessed with the Patient-Specific Functional Scale. Secondary outcomes will include pain intensity, physical activity participation, sedentary behavior, global impression of change, health-related quality of life, and eHealth literacy. Data on demographic characteristics, smallest worthwhile change (ie, smallest function scored needed to be achieved at the end of the intervention to consider it to be worthwhile), health care utilization, and adverse events (ie, any new health issue that occurs during participation in the study) will be collected. An economic and process evaluation will also be conducted. IMPACT This study will assess if a self-management text message intervention is effective and cost-effective in improving function of people with LBP. This study can inform clinical practice of a simple, scalable, and affordable intervention for managing LBP.
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Affiliation(s)
- Carolina G Fritsch
- Institute of Bone and Joint Research, The Kolling Institute, Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2065, Australia
| | - Paulo H Ferreira
- Musculoskeletal Research Group, School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Joanna L Prior
- Institute of Bone and Joint Research, The Kolling Institute, Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2065, Australia
| | | | - Clara K Chow
- Westmead Applied Research Centre and Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2145, Australia.,Westmead Department of Cardiology, Westmead Hospital, Sydney, NSW 2145, Australia
| | - Julie Redfern
- Westmead Applied Research Centre and Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2145, Australia
| | - Aravinda Thiagalingam
- Westmead Applied Research Centre and Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2145, Australia.,Westmead Department of Cardiology, Westmead Hospital, Sydney, NSW 2145, Australia
| | - Thomas Lung
- Health Economics and Process Evaluation, The George Institute for Global Health, University of New South Wales Sydney, Sydney, NSW 2042, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
| | - Andrew J McLachlan
- School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
| | - Manuela Loureiro Ferreira
- Institute of Bone and Joint Research, The Kolling Institute, Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2065, Australia
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