1
|
Nelson AJ, Pagidipati NJ, Bosworth HB. Improving medication adherence in cardiovascular disease. Nat Rev Cardiol 2024; 21:417-429. [PMID: 38172243 DOI: 10.1038/s41569-023-00972-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/27/2023] [Indexed: 01/05/2024]
Abstract
Non-adherence to medication is a global health problem with far-reaching individual-level and population-level consequences but remains unappreciated and under-addressed in the clinical setting. With increasing comorbidity and polypharmacy as well as an ageing population, cardiovascular disease and medication non-adherence are likely to become increasingly prevalent. Multiple methods for detecting non-adherence exist but are imperfect, and, despite emerging technology, a gold standard remains elusive. Non-adherence to medication is dynamic and often has multiple causes, particularly in the context of cardiovascular disease, which tends to require lifelong medication to control symptoms and risk factors in order to prevent disease progression. In this Review, we identify the causes of medication non-adherence and summarize interventions that have been proven in randomized clinical trials to be effective in improving adherence. Practical solutions and areas for future research are also proposed.
Collapse
Affiliation(s)
- Adam J Nelson
- Victorian Heart Institute, Melbourne, Victoria, Australia
- Duke Clinical Research Institute, Duke University, Durham, NC, USA
| | | | - Hayden B Bosworth
- Duke Clinical Research Institute, Duke University, Durham, NC, USA.
- Population Health Sciences, Duke University, Durham, NC, USA.
| |
Collapse
|
2
|
Redfern J, Tu Q, Hyun K, Hollings MA, Hafiz N, Zwack C, Free C, Perel P, Chow CK. Mobile phone text messaging for medication adherence in secondary prevention of cardiovascular disease. Cochrane Database Syst Rev 2024; 3:CD011851. [PMID: 38533994 PMCID: PMC10966941 DOI: 10.1002/14651858.cd011851.pub3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
BACKGROUND Cardiovascular diseases (CVDs) are the leading cause of death globally, accounting for almost 18 million deaths annually. People with CVDs have a five times greater chance of suffering a recurrent cardiovascular event than people without known CVDs. Although drug interventions have been shown to be cost-effective in reducing the risk of recurrent cardiovascular events, adherence to medication remains suboptimal. As a scalable and cost-effective approach, mobile phone text messaging presents an opportunity to convey health information, deliver electronic reminders, and encourage behaviour change. However, it is uncertain whether text messaging can improve medication adherence and clinical outcomes. This is an update of a Cochrane review published in 2017. OBJECTIVES To evaluate the benefits and harms of mobile phone text messaging for improving medication adherence in people with CVDs compared to usual care. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, four other databases, and two trial registers. We also checked the reference lists of all primary included studies and relevant systematic reviews and meta-analyses. The date of the latest search was 30 August 2023. SELECTION CRITERIA We included randomised controlled trials (RCTs) with participants with established arterial occlusive events. We included trials investigating interventions using short message service (SMS) or multimedia messaging service (MMS) with the aim of improving adherence to medication for the secondary prevention of cardiovascular events. The comparator was usual care. We excluded cluster-RCTs and quasi-RCTs. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Our primary outcomes were medication adherence, fatal cardiovascular events, non-fatal cardiovascular events, and combined CVD event. Secondary outcomes were low-density lipoprotein cholesterol for the effect of statins, blood pressure for antihypertensive drugs, heart rate for the effect of beta-blockers, urinary 11-dehydrothromboxane B2 for the antiplatelet effects of aspirin, adverse effects, and patient-reported experience. We used GRADE to assess the certainty of the evidence for each outcome. MAIN RESULTS We included 18 RCTs involving a total of 8136 participants with CVDs. We identified 11 new studies in the review update and seven studies in the previous version of the review. Participants had various CVDs including acute coronary syndrome, coronary heart disease, stroke, myocardial infarction, and angina. All studies were conducted in middle- and high-income countries, with no studies conducted in low-income countries. The mean age of participants was 53 to 64 years. Participants were recruited from hospitals or cardiac rehabilitation facilities. Follow-up ranged from one to 12 months. There was variation in the characteristics of text messages amongst studies (e.g. delivery method, frequency, theoretical grounding, content used, personalisation, and directionality). The content of text messages varied across studies, but generally included medication reminders and healthy lifestyle information such as diet, physical activity, and weight loss. Text messages offered advice, motivation, social support, and health education to promote behaviour changes and regular medication-taking. We assessed risk of bias for all studies as high, as all studies had at least one domain at unclear or high risk of bias. Medication adherence Due to different evaluation score systems and inconsistent definitions applied for the measurement of medication adherence, we did not conduct meta-analysis for medication adherence. Ten out of 18 studies showed a beneficial effect of mobile phone text messaging for medication adherence compared to usual care, whereas the other eight studies showed either a reduction or no difference in medication adherence with text messaging compared to usual care. Overall, the evidence is very uncertain about the effects of mobile phone text messaging for medication adherence when compared to usual care. Fatal cardiovascular events Text messaging may have little to no effect on fatal cardiovascular events compared to usual care (odds ratio 0.83, 95% confidence interval (CI) 0.47 to 1.45; 4 studies, 1654 participants; low-certainty evidence). Non-fatal cardiovascular events We found very low-certainty evidence that text messaging may have little to no effect on non-fatal cardiovascular events. Two studies reported non-fatal cardiovascular events, neither of which found evidence of a difference between groups. Combined CVD events We found very low-certainty evidence that text messaging may have little to no effect on combined CVD events. Only one study reported combined CVD events, and did not find evidence of a difference between groups. Low-density lipoprotein cholesterol Text messaging may have little to no effect on low-density lipoprotein cholesterol compared to usual care (mean difference (MD) -1.79 mg/dL, 95% CI -4.71 to 1.12; 8 studies, 4983 participants; very low-certainty evidence). Blood pressure Text messaging may have little to no effect on systolic blood pressure (MD -0.93 mmHg, 95% CI -3.55 to 1.69; 8 studies, 5173 participants; very low-certainty evidence) and diastolic blood pressure (MD -1.00 mmHg, 95% CI -2.49 to 0.50; 5 studies, 3137 participants; very low-certainty evidence) when compared to usual care. Heart rate Text messaging may have little to no effect on heart rate compared to usual care (MD -0.46 beats per minute, 95% CI -1.74 to 0.82; 4 studies, 2946 participants; very low-certainty evidence). AUTHORS' CONCLUSIONS Due to limited evidence, we are uncertain if text messaging reduces medication adherence, fatal and non-fatal cardiovascular events, and combined cardiovascular events in people with cardiovascular diseases when compared to usual care. Furthermore, text messaging may result in little or no effect on low-density lipoprotein cholesterol, blood pressure, and heart rate compared to usual care. The included studies were of low methodological quality, and no studies assessed the effects of text messaging in low-income countries or beyond the 12-month follow-up. Long-term and high-quality randomised trials are needed, particularly in low-income countries.
Collapse
Affiliation(s)
- Julie Redfern
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- The George Institute for Global Health, University of New South Wales, Sydney , Australia
| | - Qiang Tu
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Karice Hyun
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- Department of Cardiology, Concord Hospital, Sydney , Australia
| | - Matthew A Hollings
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Nashid Hafiz
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Clara Zwack
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Caroline Free
- Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Pablo Perel
- Department of Population Health, London School of Hygiene and Tropical Medicine, London, UK
| | - Clara K Chow
- Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
- Department of Cardiology, Westmead Hospital, Sydney, Australia
| |
Collapse
|
3
|
Gebremichael LG, Champion S, Nesbitt K, Pearson V, Bulamu NB, Dafny HA, Sajeev S, Pinero de Plaza MA, Ramos JS, Suebkinorn O, Gulyani A, Bulto LN, Beleigoli A, Hendriks JM, Hines S, Clark RA. Effectiveness of cardiac rehabilitation programs on medication adherence in patients with cardiovascular disease: A systematic review and meta-analysis. INTERNATIONAL JOURNAL OF CARDIOLOGY. CARDIOVASCULAR RISK AND PREVENTION 2024; 20:200229. [PMID: 38188637 PMCID: PMC10770721 DOI: 10.1016/j.ijcrp.2023.200229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 10/20/2023] [Accepted: 12/05/2023] [Indexed: 01/09/2024]
Abstract
Background Education to improve medication adherence is one of the core components of cardiac rehabilitation (CR) programs. However, the evidence on the effectiveness of CR programs on medication adherence is conflicting. Therefore, we aimed to summarize the effectiveness of CR programs versus standard care on medication adherence in patients with cardiovascular disease. Methods A systematic review and meta-analysis was conducted. Seven databases and clinical trial registries were searched for published and unpublished articles from database inception to 09 Feb 2022. Only randomised controlled trials and quasi-experimental studies were included. Two independent reviewers conducted the screening, extraction, and appraisal. The JBI methodology for effectiveness reviews and PRISMA 2020 guidelines were followed. A statistical meta-analysis of included studies was pooled using RevMan version 5.4.1. Results In total 33 studies were included with 16,677 participants. CR programs increased medication adherence by 14 % (RR = 1.14; 95 % CI: 1.07 to 1.22; p = 0.0002) with low degree of evidence certainty. CR also lowered the risk of dying by 17 % (RR = 0.83; 95 % CI: 0.69 to 1.00; p = 0.05); primary care and emergency department visit by mean difference of 0.19 (SMD = -0.19; 95 % CI: -0.30 to -0.08; p = 0.0008); and improved quality of life by 0.93 (SMD = 0.93; 95 % CI: 0.38 to 1.49; p = 0.0010). But no significant difference was observed in lipid profiles, except with total cholesterol (SMD = -0.26; 95 % CI: -0.44 to -0.07; p = 0.006) and blood pressure levels. Conclusions CR improves medication adherence with a low degree of evidence certainty and non-significant changes in lipid and blood pressure levels. This result requires further investigation.
Collapse
Affiliation(s)
- Lemlem Gebremedhin Gebremichael
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Australia
| | - Stephanie Champion
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Australia
| | - Katie Nesbitt
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Australia
| | - Vincent Pearson
- JBI, School of Public Health, The University of Adelaide, Australia
| | - Norma B. Bulamu
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Hila A. Dafny
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Australia
| | - Shelda Sajeev
- Centre for Artificial Intelligence Research and Optimisation (AIRO), Torrens University, Adelaide, South Australia, Australia
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
| | - Maria Alejandra Pinero de Plaza
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Australia
- National Health and Medical Research Council, Transdisciplinary Centre of Research Excellence in Frailty and Healthy Ageing, Adelaide, SA, Australia
| | - Joyce S. Ramos
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
| | - Orathai Suebkinorn
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
| | - Aarti Gulyani
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
| | - Lemma N. Bulto
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Australia
| | - Alline Beleigoli
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Australia
| | - Jeroen M. Hendriks
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Australia
- Centre for Heart Rhythm Disorders, University of Adelaide and the Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Sonia Hines
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Australia
- Flinders Rural and Remote Health, NT. College of Medicine and Public Health, Flinders University, Australia
| | - Robyn A. Clark
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Australia
| | - On behalf of the NHMRC CHAP Project Team
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Bedford Park, SA, Australia
- Mparntwe Centre for Evidence in Health, Flinders University: A JBI Centre of Excellence, Australia
- JBI, School of Public Health, The University of Adelaide, Australia
- Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
- Centre for Artificial Intelligence Research and Optimisation (AIRO), Torrens University, Adelaide, South Australia, Australia
- College of Science and Engineering, Flinders University, Adelaide, SA, Australia
- National Health and Medical Research Council, Transdisciplinary Centre of Research Excellence in Frailty and Healthy Ageing, Adelaide, SA, Australia
- Centre for Heart Rhythm Disorders, University of Adelaide and the Royal Adelaide Hospital, Adelaide, SA, Australia
- Flinders Rural and Remote Health, NT. College of Medicine and Public Health, Flinders University, Australia
| |
Collapse
|
4
|
Lauffenburger JC, Yom-Tov E, Keller PA, McDonnell ME, Crum KL, Bhatkhande G, Sears ES, Hanken K, Bessette LG, Fontanet CP, Haff N, Vine S, Choudhry NK. The impact of using reinforcement learning to personalize communication on medication adherence: findings from the REINFORCE trial. NPJ Digit Med 2024; 7:39. [PMID: 38374424 PMCID: PMC10876539 DOI: 10.1038/s41746-024-01028-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 02/05/2024] [Indexed: 02/21/2024] Open
Abstract
Text messaging can promote healthy behaviors, like adherence to medication, yet its effectiveness remains modest, in part because message content is rarely personalized. Reinforcement learning has been used in consumer technology to personalize content but with limited application in healthcare. We tested a reinforcement learning program that identifies individual responsiveness ("adherence") to text message content and personalizes messaging accordingly. We randomized 60 individuals with diabetes and glycated hemoglobin A1c [HbA1c] ≥ 7.5% to reinforcement learning intervention or control (no messages). Both arms received electronic pill bottles to measure adherence. The intervention improved absolute adjusted adherence by 13.6% (95%CI: 1.7%-27.1%) versus control and was more effective in patients with HbA1c 7.5- < 9.0% (36.6%, 95%CI: 25.1%-48.2%, interaction p < 0.001). We also explored whether individual patient characteristics were associated with differential response to tested behavioral factors and unique clusters of responsiveness. Reinforcement learning may be a promising approach to improve adherence and personalize communication at scale.
Collapse
Affiliation(s)
- Julie C Lauffenburger
- Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | | | - Punam A Keller
- Tuck School of Business, Dartmouth College, Hanover, NH, USA
| | - Marie E McDonnell
- Division of Endocrinology, Diabetes and Hypertension, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Katherine L Crum
- Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Gauri Bhatkhande
- Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ellen S Sears
- Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kaitlin Hanken
- Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Lily G Bessette
- Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Constance P Fontanet
- Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Nancy Haff
- Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Seanna Vine
- Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Niteesh K Choudhry
- Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
5
|
McDonagh ST, Dalal H, Moore S, Clark CE, Dean SG, Jolly K, Cowie A, Afzal J, Taylor RS. Home-based versus centre-based cardiac rehabilitation. Cochrane Database Syst Rev 2023; 10:CD007130. [PMID: 37888805 PMCID: PMC10604509 DOI: 10.1002/14651858.cd007130.pub5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
BACKGROUND Cardiovascular disease is the most common cause of death globally. Traditionally, centre-based cardiac rehabilitation programmes are offered to individuals after cardiac events to aid recovery and prevent further cardiac illness. Home-based and technology-supported cardiac rehabilitation programmes have been introduced in an attempt to widen access and participation, especially during the SARS-CoV-2 pandemic. This is an update of a review previously published in 2009, 2015, and 2017. OBJECTIVES To compare the effect of home-based (which may include digital/telehealth interventions) and supervised centre-based cardiac rehabilitation on mortality and morbidity, exercise-capacity, health-related quality of life, and modifiable cardiac risk factors in patients with heart disease SEARCH METHODS: We updated searches from the previous Cochrane Review by searching the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (Ovid), Embase (Ovid), PsycINFO (Ovid) and CINAHL (EBSCO) on 16 September 2022. We also searched two clinical trials registers as well as previous systematic reviews and reference lists of included studies. No language restrictions were applied. SELECTION CRITERIA We included randomised controlled trials that compared centre-based cardiac rehabilitation (e.g. hospital, sports/community centre) with home-based programmes (± digital/telehealth platforms) in adults with myocardial infarction, angina, heart failure, or who had undergone revascularisation. DATA COLLECTION AND ANALYSIS Two review authors independently screened all identified references for inclusion based on predefined inclusion criteria. Disagreements were resolved through discussion or by involving a third review author. Two authors independently extracted outcome data and study characteristics and assessed risk of bias. Certainty of evidence was assessed using GRADE. MAIN RESULTS We included three new trials in this update, bringing a total of 24 trials that have randomised a total of 3046 participants undergoing cardiac rehabilitation. A further nine studies were identified and are awaiting classification. Manual searching of trial registers until 16 September 2022 revealed a further 14 clinical trial registrations - these are ongoing. Participants had a history of acute myocardial infarction, revascularisation, or heart failure. Although there was little evidence of high risk of bias, a number of studies provided insufficient detail to enable assessment of potential risk of bias; in particular, details of generation and concealment of random allocation sequencing and blinding of outcome assessment were poorly reported. No evidence of a difference was seen between home- and centre-based cardiac rehabilitation in our primary outcomes up to 12 months of follow-up: total mortality (risk ratio [RR] = 1.19, 95% confidence interval [CI] 0.65 to 2.16; participants = 1647; studies = 12/comparisons = 14; low-certainty evidence) or exercise capacity (standardised mean difference (SMD) = -0.10, 95% CI -0.24 to 0.04; participants = 2343; studies = 24/comparisons = 28; low-certainty evidence). The majority of evidence (N=71 / 77 comparisons of either total or domain scores) showed no significant difference in health-related quality of life up to 24 months follow-up between home- and centre-based cardiac rehabilitation. Trials were generally of short duration, with only three studies reporting outcomes beyond 12 months (exercise capacity: SMD 0.11, 95% CI -0.01 to 0.23; participants = 1074; studies = 3; moderate-certainty evidence). There was a similar level of trial completion (RR 1.03, 95% CI 0.99 to 1.08; participants = 2638; studies = 22/comparisons = 26; low-certainty evidence) between home-based and centre-based participants. The cost per patient of centre- and home-based programmes was similar. AUTHORS' CONCLUSIONS This update supports previous conclusions that home- (± digital/telehealth platforms) and centre-based forms of cardiac rehabilitation formally supported by healthcare staff seem to be similarly effective in improving clinical and health-related quality of life outcomes in patients after myocardial infarction, or revascularisation, or with heart failure. This finding supports the continued expansion of healthcare professional supervised home-based cardiac rehabilitation programmes (± digital/telehealth platforms), especially important in the context of the ongoing global SARS-CoV-2 pandemic that has much limited patients in face-to-face access of hospital and community health services. Where settings are able to provide both supervised centre- and home-based programmes, consideration of the preference of the individual patient would seem appropriate. Although not included in the scope of this review, there is an increasing evidence base supporting the use of hybrid models that combine elements of both centre-based and home-based cardiac rehabilitation delivery. Further data are needed to determine: (1) whether the short-term effects of home/digital-telehealth and centre-based cardiac rehabilitation models of delivery can be confirmed in the longer term; (2) the relative clinical effectiveness and safety of home-based programmes for other heart patients, e.g. post-valve surgery and atrial fibrillation.
Collapse
Affiliation(s)
- Sinead Tj McDonagh
- Department of Health and Community Sciences, University of Exeter Medical School, Faculty of Health and Life Sciences, St Luke's Campus, University of Exeter, Exeter, UK
| | - Hasnain Dalal
- Department of Health and Community Sciences, University of Exeter Medical School, Faculty of Health and Life Sciences, St Luke's Campus, University of Exeter, Exeter, UK
| | - Sarah Moore
- Department of Health and Community Sciences, University of Exeter Medical School, Faculty of Health and Life Sciences, St Luke's Campus, University of Exeter, Exeter, UK
| | - Christopher E Clark
- Department of Health and Community Sciences, University of Exeter Medical School, Faculty of Health and Life Sciences, St Luke's Campus, University of Exeter, Exeter, UK
| | - Sarah G Dean
- Department of Health and Community Sciences, University of Exeter Medical School, Faculty of Health and Life Sciences, St Luke's Campus, University of Exeter, Exeter, UK
| | - Kate Jolly
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Aynsley Cowie
- Cardiac Rehabilitation, University Hospital Crosshouse, NHS Ayrshire and Arran, Kilmarnock, UK
| | | | - Rod S Taylor
- MRC/CSO Social and Public Health Sciences Unit & Robertson Centre for Biostatistics, Institute of Health and Well Being, University of Glasgow, Glasgow, UK
| |
Collapse
|
6
|
Kircher J, Swoboda W, Holl F. Examining standardized tools used for the evaluation of mobile health applications for cardiovascular disease. Front Public Health 2023; 11:1155433. [PMID: 37388154 PMCID: PMC10303135 DOI: 10.3389/fpubh.2023.1155433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/23/2023] [Indexed: 07/01/2023] Open
Abstract
Cardiovascular disease is one of the leading causes of death worldwide. Scarce resources and rising costs are pushing healthcare systems to their limits. There is an urgency to develop, optimize and evaluate technologies that provide more effective care for patients. Modern technologies, such as mobile health (mHealth) applications, can provide relief as a key strategy. To integrate digital interventions into care structures, a detailed impact assessment of all professional mHealth applications is needed. The aim of this study is to analyze the standardized tools used in the field of cardiovascular disease. The results show that questionnaires, usage logs, and key indicators are predominantly used. Although the identified mHealth interventions are specific to cardiovascular disease and thus require particular questions to evaluate apps, the user readiness, usability, or quality of life criteria are non-specific. Therefore, the results contribute to understanding how different mHealth interventions can be assessed, categorized, evaluated, and accepted.
Collapse
Affiliation(s)
- Jennifer Kircher
- DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany
| | - Walter Swoboda
- DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany
| | - Felix Holl
- DigiHealth Institute, Neu-Ulm University of Applied Sciences, Neu-Ulm, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig Maximilian University of Munich, Munich, Germany
| |
Collapse
|
7
|
Şaylık F, Çınar T, İlker Hayıroğlu M, İlker Tekkeşin A. Digital Health Interventions in Patient Management Following Acute Coronary Syndrome: A Meta-Analysis of the Literature. Anatol J Cardiol 2023; 27:2-9. [PMID: 36680440 PMCID: PMC9893709 DOI: 10.14744/anatoljcardiol.2022.2254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 09/02/2022] [Indexed: 01/21/2023] Open
Abstract
OBJECTIVE Acute coronary syndrome patients should be closely followed-up to maintain optimal adherence to medical treatments and to reduce adverse events. Digital health interventions might provide improved outcomes for patient care by providing closer follow- up, compared to standard care. Thus, in this meta-analysis, we aimed to evaluate the effect of digital health interventions on follow-up in acute coronary syndrome patients. METHODS We searched medical databases to obtain all relevant studies comparing digital health interventions with standard care in acute coronary syndrome patients. After reviewing all eligible studies, a meta-analysis was conducted with the remaining 11 randomized controlled studies and 2 non-randomized controlled studies. A modified Jadad scale and Newcastle-Ottawa scale were used to assess the quality of the publications for randomized controlled studies and non-randomized controlled studies, respectively. RESULTS This meta-analysis consisted of 7657 patients. The all-cause mortality rate was 49% lower in the digital health intervention cases, compared to those who received standard care [relative risk (RR) = 0.51 (0.37; 0.70), P <.01]. There was a significant decrease in systolic blood pressure in the digital health interventions group, compared to the standard care group [mean difference = -5.28 (-9.47; -1.08), P =.01]. The rate of nonadherence to anti-aggregant drugs was 69% lower in the digital health interventions than in the standard care group [RR = 0.31 (0.20; 0.46), P <.01]. Also, nonadherence rates for statin and beta-blockers were lower in the digital health interventions group. The risk of rehospitalization was observed to be 55% less in the digital health interventions patients, compared to the standard care group [RR = 0.45 (0.30; 0.67), P <.01]. CONCLUSION Digital health interventions can be effective in follow-up for secondary prevention in acute coronary syndrome patients.
Collapse
Affiliation(s)
- Faysal Şaylık
- Department of Cardiology, Van Training and Research Hospital, Van, Turkey
- Department of Cardiology, Sultan II. Abdulhamid Han Training and Research Hospital, İstanbul, Turkey
- Department of Cardiology, Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Turkey
- Department of Cardiology, Başakşehir Çam and Sakura City Hospital, İstanbul, Turkey
| | | | - Mert İlker Hayıroğlu
- Department of Cardiology, Van Training and Research Hospital, Van, Turkey
- Department of Cardiology, Sultan II. Abdulhamid Han Training and Research Hospital, İstanbul, Turkey
- Department of Cardiology, Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Turkey
- Department of Cardiology, Başakşehir Çam and Sakura City Hospital, İstanbul, Turkey
| | - Ahmet İlker Tekkeşin
- Department of Cardiology, Van Training and Research Hospital, Van, Turkey
- Department of Cardiology, Sultan II. Abdulhamid Han Training and Research Hospital, İstanbul, Turkey
- Department of Cardiology, Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, İstanbul, Turkey
- Department of Cardiology, Başakşehir Çam and Sakura City Hospital, İstanbul, Turkey
| |
Collapse
|
8
|
Deng L, Wu Q, Ding F, Liu Y, Shen J, Lin Y, Shi K, Zeng B, Wu L, Tong H. The effect of telemedicine on secondary prevention of atherosclerotic cardiovascular disease: A systematic review and meta-analysis. Front Cardiovasc Med 2022; 9:1020744. [PMID: 36440018 PMCID: PMC9683074 DOI: 10.3389/fcvm.2022.1020744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
AimThe purpose of this systematic review was to evaluate the efficiency of telemedicine on the secondary level of prevention of patients with arteriosclerotic cardiovascular disease (ASCVD), provide evidence for the application of telemedicine in secondary prevention and promote the development of telemedicine in secondary prevention.MethodsA computer-based search was conducted in MEDLINE, Embase, Pubmed, EBSCO, CINAHL, the Cochrane Library, and Web of Science. Randomized controlled trials regarding the effect of telemedicine on secondary prevention of ASCVD were included from inception to May, 2022. Meta-analysis was used to compare the results of the included studies by RevMan5.4 software. The Cochrane Collaboration bias risk tool was used to perform risk of bias assessment in this study. Outcomes included risk factors, physical activity and exercise, muscle function, exercise compliance, medication adherence, healthy diet, depression and anxiety, self-efficacy, knowledge score, economy, and safety endpoints. Subgroup analysis was carried out for different main intervention measures included in the literature.ResultsA total of 32 randomized clinical studies (n = 10 997 participants) were included in the meta-analysis. Compared with usual secondary prevention (USP) group, participants in telemedicine of secondary prevention (TOSP) group showed significant improvement in some risk factors including BMI (MD –0.87, p = 0.002), SBP (MD –4.09, p = 0.007) and DBP (MD –2.91, p = 0.0002) when they use the telephone as the intervention. In physical activity and exercise, Patients in TOSP showed an improvement in VO2 Peak (mL⋅kg–1⋅min–1) (OR 1.58, p = 0.02), 6MWT (MD 21.41, p = 0.001), GSLTPA score (MD 2.89, p = 0.005). Effects on medication adherence, exercise compliance, muscle function, healthy diet, economy and self-efficacy were synthesized narratively. Patients in TOSP did not show a reduction in knowledge score, depression, anxiety and safety endpoints.ConclusionThere is a net benefit of secondary prevention supported by telemedicine (especially when using the telephone as an intervention) in patients with ASCVD in the terms of some risk factors, physical activity and exercise. There are still controversies in the improvement of medication adherence, exercise compliance, muscle function, healthy diet, knowledge score, self-efficacy and economy via telemedicine, which is worth exploring. Larger samples size and longer-term follow-ups are needed in future studies.Systematic review registration[https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=330478], identifier [CRD42022330478].
Collapse
|
9
|
Khoshrounejad F, Tabesh H, Aalaei S, Khoshrounejad S, Moradi A, Eslami S. Effect of a Text Message-Based Support Program on Outcomes of Patients After Flexor Tendon Injury Repair. J Hand Surg Am 2022; 47:1085-1094. [PMID: 36064509 DOI: 10.1016/j.jhsa.2022.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 05/28/2022] [Accepted: 07/15/2022] [Indexed: 02/02/2023]
Abstract
PURPOSE Although the effectiveness of using text messages in home-based rehabilitation programs has been investigated, its ability to engage patients in home rehabilitation exercises and, as a result, improve hand outcomes, specifically in patients with flexor tendon injuries, has not been evaluated. The aim of this study was to determine whether the addition of a text message-based intervention to usual care is effective in improving hand outcomes in patients with flexor tendon injuries after repair. METHODS In this 2-arm parallel randomized controlled trial, 40 patients were randomly assigned to either the intervention group (usual care plus the support program) or the control group (usual care only). Intervention included an automated package of instructional text messages containing links to a secure website for instructional rehabilitation videos delivered over 12 weeks. The Quick Disabilities of the Arm, Shoulder, and Hand and visual analog scale for pain scores were assessed at 6 and 12 weeks. Physician-reported grip strength and total active motion were assessed after 12 weeks. RESULTS The study was completed by 90% (36 of 40) of the patients who were enrolled. There were statistically significant differences between the 2 groups with respect to Quick Disabilities of the Arm, Shoulder, and Hand and visual analog scale scores at the 6-week and 12-week assessments. In addition, there were statistically significant differences between the 2 groups with respect to total active motion and grip strength at 12 weeks. Finally, a high level of satisfaction with the intervention was reported. CONCLUSIONS The text message-based program was associated with improved outcomes over the first 12 weeks after flexor tendon repair. TYPE OF STUDY/LEVEL OF EVIDENCE Therapeutic II.
Collapse
Affiliation(s)
- Farnaz Khoshrounejad
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hamed Tabesh
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Shokoufeh Aalaei
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sanaz Khoshrounejad
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ali Moradi
- Orthopedics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Saeid Eslami
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Medical Informatics, University of Amsterdam, Amsterdam, the Netherlands; Pharmaceutical Research Center, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| |
Collapse
|
10
|
Lauffenburger JC, Yom-Tov E, Keller PA, McDonnell ME, Bessette LG, Fontanet CP, Sears ES, Kim E, Hanken K, Buckley JJ, Barlev RA, Haff N, Choudhry NK. REinforcement learning to improve non-adherence for diabetes treatments by Optimising Response and Customising Engagement (REINFORCE): study protocol of a pragmatic randomised trial. BMJ Open 2021; 11:e052091. [PMID: 34862289 PMCID: PMC8647547 DOI: 10.1136/bmjopen-2021-052091] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
INTRODUCTION Achieving optimal diabetes control requires several daily self-management behaviours, especially adherence to medication. Evidence supports the use of text messages to support adherence, but there remains much opportunity to improve their effectiveness. One key limitation is that message content has been generic. By contrast, reinforcement learning is a machine learning method that can be used to identify individuals' patterns of responsiveness by observing their response to cues and then optimising them accordingly. Despite its demonstrated benefits outside of healthcare, its application to tailoring communication for patients has received limited attention. The objective of this trial is to test the impact of a reinforcement learning-based text messaging programme on adherence to medication for patients with type 2 diabetes. METHODS AND ANALYSIS In the REinforcement learning to Improve Non-adherence For diabetes treatments by Optimising Response and Customising Engagement (REINFORCE) trial, we are randomising 60 patients with suboptimal diabetes control treated with oral diabetes medications to receive a reinforcement learning intervention or control. Subjects in both arms will receive electronic pill bottles to use, and those in the intervention arm will receive up to daily text messages. The messages will be individually adapted using a reinforcement learning prediction algorithm based on daily adherence measurements from the pill bottles. The trial's primary outcome is average adherence to medication over the 6-month follow-up period. Secondary outcomes include diabetes control, measured by glycated haemoglobin A1c, and self-reported adherence. In sum, the REINFORCE trial will evaluate the effect of personalising the framing of text messages for patients to support medication adherence and provide insight into how this could be adapted at scale to improve other self-management interventions. ETHICS AND DISSEMINATION This study was approved by the Mass General Brigham Institutional Review Board (IRB) (USA). Findings will be disseminated through peer-reviewed journals, clinicaltrials.gov reporting and conferences. TRIAL REGISTRATION NUMBER Clinicaltrials.gov (NCT04473326).
Collapse
Affiliation(s)
- Julie C Lauffenburger
- Center for Healthcare Delivery Sciences, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Elad Yom-Tov
- Microsoft Research, Microsoft, Herzeliya, Israel
| | - Punam A Keller
- Tuck School of Business, Dartmouth College, Hanover, NH, USA
| | - Marie E McDonnell
- Endocrinology, Diabetes and Hypertension, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Lily G Bessette
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Constance P Fontanet
- Center for Healthcare Delivery Sciences, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ellen S Sears
- Center for Healthcare Delivery Sciences, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Erin Kim
- Center for Healthcare Delivery Sciences, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kaitlin Hanken
- Center for Healthcare Delivery Sciences, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - J Joseph Buckley
- Division of Sleep Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Renee A Barlev
- Center for Healthcare Delivery Sciences, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Nancy Haff
- Center for Healthcare Delivery Sciences, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Niteesh K Choudhry
- Center for Healthcare Delivery Sciences, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
11
|
Holl F, Kircher J, Swoboda WJ, Schobel J. Methods Used to Evaluate mHealth Applications for Cardiovascular Disease: A Quasi-Systematic Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182312315. [PMID: 34886039 PMCID: PMC8656469 DOI: 10.3390/ijerph182312315] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 11/16/2021] [Accepted: 11/20/2021] [Indexed: 11/19/2022]
Abstract
In the face of demographic change and constantly increasing health care costs, health care system decision-makers face ever greater challenges. Mobile health applications (mHealth apps) have the potential to combat this trend. However, in order to integrate mHealth apps into care structures, an evaluation of such apps is needed. In this paper, we focus on the criteria and methods of evaluating mHealth apps for cardiovascular disease and the implications for developing a widely applicable evaluation framework for mHealth interventions. Our aim is to derive substantiated patterns and starting points for future research by conducting a quasi-systematic scoping review of relevant peer-reviewed literature published in English or German between 2000 and 2021. We screened 4066 articles and identified n = 38 studies that met our inclusion criteria. The results of the data derived from these studies show that usability, motivation, and user experience were evaluated primarily using standardized questionnaires. Usage protocols and clinical outcomes were assessed primarily via laboratory diagnostics and quality-of-life questionnaires, and cost effectiveness was tested primarily based on economic measures. Based on these findings, we propose important considerations and elements for the development of a common evaluation framework for professional mHealth apps, including study designs, data collection tools, and perspectives.
Collapse
Affiliation(s)
- Felix Holl
- DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany; (J.K.); (W.J.S.); (J.S.)
- Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig Maximilian University of Munich, 81377 Munich, Germany
- Correspondence: ; Tel.: +49-731-9762-1613
| | - Jennifer Kircher
- DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany; (J.K.); (W.J.S.); (J.S.)
| | - Walter J. Swoboda
- DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany; (J.K.); (W.J.S.); (J.S.)
| | - Johannes Schobel
- DigiHealth Institute, Neu-Ulm University of Applied Sciences, 89231 Neu-Ulm, Germany; (J.K.); (W.J.S.); (J.S.)
| |
Collapse
|
12
|
Chitungo I, Mhango M, Mbunge E, Dzobo M, Musuka G, Dzinamarira T. Utility of telemedicine in sub-Saharan Africa during the COVID-19 pandemic. A rapid review. HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES 2021; 3:843-853. [PMID: 34901772 PMCID: PMC8653215 DOI: 10.1002/hbe2.297] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 10/01/2021] [Indexed: 12/23/2022]
Abstract
Telemedicine is the use of technology to achieve remote care. This review looks at the utility of telemedicine during the pandemic, period March 2020 to February 2021. Eleven articles met inclusion criteria. There was moderate use of telemedicine in sub‐Sahara Africa during the pandemic, however, there were also some limitations. Benefits of telemedicine include continuing medical service provision, connecting relatives with loved ones in quarantine, education, and awareness of mental health issues, and toxicovigilance and infection control. Challenges to the implementation of telemedicine on the continent were lack of supporting telemedicine framework and policies, digital barriers, and patient and healthcare personnel biases. To address these challenges, this article proposes the development of policy frameworks that fosters telemedicine use by all stakeholders, including medical insurance organizations, the introduction of telemedicine training of medical workers, educational awareness programs for the public, and improvement of digital platforms access and affordability.
Collapse
Affiliation(s)
- Itai Chitungo
- Department of Laboratory Diagnostics and Investigative Science, Faculty of Medicine and Health Sciences University of Zimbabwe Harare Zimbabwe
| | - Malizgani Mhango
- School of Public Health University of Western Cape Cape Town South Africa
| | - Elliot Mbunge
- Department of Computer Science, Faculty of Science and Engineering University of Eswatini (formerly Swaziland) Kwaluseni Eswatini
| | - Mathias Dzobo
- Department of Laboratory Diagnostics and Investigative Science, Faculty of Medicine and Health Sciences University of Zimbabwe Harare Zimbabwe
| | | | - Tafadzwa Dzinamarira
- ICAP at Columbia University Harare Zimbabwe.,School of Health Systems & Public Health University of Pretoria Pretoria South Africa
| |
Collapse
|
13
|
Saki M, Najmi S, Gholami M, Ebrahimzadeh F, Pour FJ. The effect of patient-centered education in adherence to the treatment regimen in patients with coronary artery disease. JOURNAL OF VASCULAR NURSING 2021; 40:28-34. [DOI: 10.1016/j.jvn.2021.10.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/26/2021] [Accepted: 10/02/2021] [Indexed: 11/27/2022]
|
14
|
Foccardi G, Vecchiato M, Neunhaeuserer D, Mezzaro M, Quinto G, Battista F, Duregon F, Carlon R, Ermolao A. Effectiveness of Text Messaging as an Incentive to Maintain Physical Activity after Cardiac Rehabilitation: A Randomized Controlled Pilot Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126645. [PMID: 34205551 PMCID: PMC8296387 DOI: 10.3390/ijerph18126645] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/04/2021] [Accepted: 06/17/2021] [Indexed: 02/07/2023]
Abstract
Although the efficacy of cardiac rehabilitation (CR) is proven, the need to improve patients’ adherence has emerged. There are only a few studies that have investigated the effect of sending text messages after a CR period to stimulate subjects’ ongoing engagement in regular physical activity (PA). A randomized controlled pilot trial was conducted after CR, sending a daily PA text message reminder to an intervention group (IG), which was compared with a usual care control group (CG) during three months of follow-up. Thirty-two subjects were assessed pre- and post-study intervention with GPAQ, submaximal iso-watt exercise testing, a 30 s sit-to-stand test, a bilateral arm curl test, and a final survey on a seven-point Likert scale. A statistically significant difference in the increase of moderate PA time (Δ 244.7 (95% CI 189.1, 300.4) minutes, p < 0.001) and in the reduction of sedentary behavior time (Δ −77.5 (95% CI 104.9, −50.1) minutes, p = 0.004) was shown when the IG was compared with the CG. This was associated with an improvement in heart rate, blood pressure, and patients’ Borg rating on the category ratio scale 10 (CR10) in iso-watt exercise testing (all p < 0.05). Furthermore, only the IG did not show a worsening of the strength parameters in the follow-up leading to a change of the 30 s sit-to-stand test with a difference of +2.2 (95% CI 1.23, 3.17) repetitions compared to CG (p = 0.03). The telemedical intervention has been appreciated by the IG, whose willingness to continue with regular PA emerged to be superior compared to the CG. Text messages are an effective and inexpensive adjuvant after phase 2 CR that improves adherence to regular PA. Further studies are needed to confirm these results in a larger patient population and in the long term.
Collapse
Affiliation(s)
- Giulia Foccardi
- Sports and Exercise Medicine Division, Department of Medicine, University of Padova, 35128 Padova, Italy; (G.F.); (M.V.); (M.M.); (G.Q.); (F.B.); (F.D.); (A.E.)
- Clinical Network of Sports and Exercise Medicine of the Veneto Region, 35128 Padova, Italy
| | - Marco Vecchiato
- Sports and Exercise Medicine Division, Department of Medicine, University of Padova, 35128 Padova, Italy; (G.F.); (M.V.); (M.M.); (G.Q.); (F.B.); (F.D.); (A.E.)
- Clinical Network of Sports and Exercise Medicine of the Veneto Region, 35128 Padova, Italy
| | - Daniel Neunhaeuserer
- Sports and Exercise Medicine Division, Department of Medicine, University of Padova, 35128 Padova, Italy; (G.F.); (M.V.); (M.M.); (G.Q.); (F.B.); (F.D.); (A.E.)
- Clinical Network of Sports and Exercise Medicine of the Veneto Region, 35128 Padova, Italy
- Correspondence: ; Tel.: +39-049-8217456
| | - Michele Mezzaro
- Sports and Exercise Medicine Division, Department of Medicine, University of Padova, 35128 Padova, Italy; (G.F.); (M.V.); (M.M.); (G.Q.); (F.B.); (F.D.); (A.E.)
| | - Giulia Quinto
- Sports and Exercise Medicine Division, Department of Medicine, University of Padova, 35128 Padova, Italy; (G.F.); (M.V.); (M.M.); (G.Q.); (F.B.); (F.D.); (A.E.)
- Clinical Network of Sports and Exercise Medicine of the Veneto Region, 35128 Padova, Italy
| | - Francesca Battista
- Sports and Exercise Medicine Division, Department of Medicine, University of Padova, 35128 Padova, Italy; (G.F.); (M.V.); (M.M.); (G.Q.); (F.B.); (F.D.); (A.E.)
- Clinical Network of Sports and Exercise Medicine of the Veneto Region, 35128 Padova, Italy
| | - Federica Duregon
- Sports and Exercise Medicine Division, Department of Medicine, University of Padova, 35128 Padova, Italy; (G.F.); (M.V.); (M.M.); (G.Q.); (F.B.); (F.D.); (A.E.)
| | - Roberto Carlon
- UOA Cardiology, Rehabilitation Cardiology, ASSL 6 “Euganea”, Cittadella Hospital, 35013 Cittadella, Italy;
| | - Andrea Ermolao
- Sports and Exercise Medicine Division, Department of Medicine, University of Padova, 35128 Padova, Italy; (G.F.); (M.V.); (M.M.); (G.Q.); (F.B.); (F.D.); (A.E.)
- Clinical Network of Sports and Exercise Medicine of the Veneto Region, 35128 Padova, Italy
| |
Collapse
|
15
|
Gunderson EG, Newell BJ, Rohling BJ, Melton BL, Robertson AD. Impact of Automated Notifications on Prescription Abandonment. J Pharm Pract 2021; 35:711-715. [PMID: 33813921 DOI: 10.1177/08971900211004829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Prescription abandonment impacts patients' quality of life and disease progression. In addition, prescription abandonment can increase total healthcare costs. OBJECTIVE This study compared effects of automated telephone calls (ATC), automated text messages (ATM), and control on prescription abandonment rates with Medicare defined Star Rated medications. The secondary objective compared prescription abandonment rates between age groups (18-64 versus ≥ 65 years) within each arm. METHODS This was a retrospective observational analysis from a regional division of a large community-based pharmacy chain. Star Rated medication prescriptions consisting of hydroxymethylglutaryl-coenzyme A reductase inhibitors, renin-angiotensin system antagonists, and non-insulin type 2 diabetes mellitus medications were included. Prescriptions for patients who activated or deactivated automated notification enrollment during the study period were excluded. RESULTS A total of 31,056, 33,278, and 20,299 prescriptions were included in the analysis of ATC, ATM, and control arms, respectively. Prescription abandonment occurred on 726 (2.3%) prescriptions within ATC arm, 864 (2.6%) prescriptions within ATM arm, and 513 (2.5%) prescriptions within control arm (p = 0.099). Prescription abandonment occurred on 390 (2.6%) prescriptions for 18-64 and 336 (2.1%) prescriptions for 65 years or older within the ATC arm (p = 0.002). Prescription abandonment occurred on 251 (2.9%) prescriptions for 18-64 and 262 (2.3%) prescriptions for 65 years or older within the control arm (p = 0.006). CONCLUSION No difference in rates of prescription abandonment existed between each automated notification arm on Star Rated medications. ATC notifications decreased rates of prescription abandonment when utilized by patients 65 years or older.
Collapse
Affiliation(s)
| | - Bradley J Newell
- Department of Pharmacy Practice, 518973University of Kansas School of Pharmacy-Wichita, KS, USA
| | | | - Brittany L Melton
- Department of Pharmacy Practice, 15510University of Kansas School of Pharmacy, Lawrence, KS, USA
| | - Amy D Robertson
- Department of Pharmacy Practice, 518973University of Kansas School of Pharmacy-Wichita, KS, USA
| |
Collapse
|
16
|
Cho SMJ, Lee JH, Shim JS, Yeom H, Lee SJ, Jeon YW, Kim HC. Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled Trial. J Med Internet Res 2020; 22:e17435. [PMID: 33034564 PMCID: PMC7584978 DOI: 10.2196/17435] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 06/05/2020] [Accepted: 06/25/2020] [Indexed: 01/15/2023] Open
Abstract
Background Metabolic disorders are established precursors to cardiovascular diseases, yet they can be readily prevented with sustained lifestyle modifications. Objective We assessed the effectiveness of a smartphone-based weight management app on metabolic parameters in adults at high-risk, yet without physician diagnosis nor pharmacological treatment for metabolic syndrome, in a community setting. Methods In this 3-arm parallel-group, single-blind, randomized controlled trial, we recruited participants aged 30 to 59 years with at least 2 conditions defined by the Third Report of the National Cholesterol Education Program expert panel (abdominal obesity, high blood pressure, high triglycerides, low high-density lipoprotein cholesterol, and high fasting glucose level). Participants were randomly assigned (1:1:1) by block randomization to either the nonuser group (control), the app-based diet and exercise self-logging group (app only), or the app-based self-logging and personalized coaching from professional dieticians and exercise coordinators group (app with personalized coaching). Assessments were performed at baseline, week 6, week 12, and week 24. The primary outcome was change in systolic blood pressure (between baseline and follow-up assessments). Secondary outcomes were changes in diastolic blood pressure, body weight, body fat mass, waist circumference, homeostatic model of assessment of insulin resistance, triglyceride level, and high-density lipoprotein cholesterol level between baseline and follow-up assessments. Analysis was performed using intention-to-treat. Results Between October 28, 2017 and May 28, 2018, 160 participants participated in the baseline screening examination. Participants (129/160, 80.6%) who satisfied the eligibility criteria were assigned to control (n=41), app only (n=45), or app with personalized coaching (n=43) group. In each group, systolic blood pressure showed decreasing trends from baseline (control: mean –10.95, SD 2.09 mmHg; app only: mean –7.29, SD 1.83 mmHg; app with personalized coaching: mean –7.19, SD 1.66 mmHg), yet without significant difference among the groups (app only: P=.19; app with personalized coaching: P=.16). Instead, those in the app with personalized coaching group had greater body weight reductions (control: mean –0.12, SD 0.30 kg; app only: mean –0.35, SD 0.36 kg, P=.67; app with personalized coaching: mean –0.96, SD 0.37 kg; P=.08), specifically by body fat mass reduction (control: mean –0.13, SD 0.34 kg; app only: mean –0.64, SD 0.38 kg, P=.22; app with personalized coaching: mean –0.79, SD 0.38 kg; P=.08). Conclusions Simultaneous diet and exercise self-logging and persistent lifestyle modification coaching were ineffective in lowering systolic blood pressure but effective in losing weight and reducing body fat mass. These results warrant future implementation studies of similar models of care on a broader scale in the context of primary prevention. Trial Registration ClinicalTrials.gov NCT03300271; http://clinicaltrials.gov/ct2/show/NCT03300271
Collapse
Affiliation(s)
- So Mi Jemma Cho
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jung Hyun Lee
- Department of Medicine, the Graduate School of Yonsei University, Seoul, Republic of Korea
| | - Jee-Seon Shim
- Cardiovascular and Metabolic Diseases Etiology Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyungseon Yeom
- Department of Medicine, the Graduate School of Yonsei University, Seoul, Republic of Korea
| | - Su Jin Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yong Woo Jeon
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyeon Chang Kim
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.,Cardiovascular and Metabolic Diseases Etiology Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| |
Collapse
|
17
|
Indraratna P, Tardo D, Yu J, Delbaere K, Brodie M, Lovell N, Ooi SY. Mobile Phone Technologies in the Management of Ischemic Heart Disease, Heart Failure, and Hypertension: Systematic Review and Meta-Analysis. JMIR Mhealth Uhealth 2020; 8:e16695. [PMID: 32628615 PMCID: PMC7381017 DOI: 10.2196/16695] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 03/30/2020] [Accepted: 04/08/2020] [Indexed: 12/20/2022] Open
Abstract
Background Cardiovascular disease (CVD) remains the leading cause of death worldwide. Mobile phones have become ubiquitous in most developed societies. Smartphone apps, telemonitoring, and clinician-driven SMS allow for novel opportunities and methods in managing chronic CVD, such as ischemic heart disease, heart failure, and hypertension, and in the conduct and support of cardiac rehabilitation. Objective A systematic review was conducted using seven electronic databases, identifying all relevant randomized control trials (RCTs) featuring a mobile phone intervention (MPI) used in the management of chronic CVD. Outcomes assessed included mortality, hospitalizations, blood pressure (BP), and BMI. Methods Electronic data searches were performed using seven databases from January 2000 to June 2019. Relevant articles were reviewed and analyzed. Meta-analysis was performed using standard techniques. The odds ratio (OR) was used as a summary statistic for dichotomous variables. A random effect model was used. Results A total of 26 RCTs including 6713 patients were identified and are described in this review, and 12 RCTs were included in the meta-analysis. In patients with heart failure, MPIs were associated with a significantly lower rate of hospitalizations (244/792, 30.8% vs 287/803, 35.7%; n=1595; OR 0.77, 95% CI 0.62 to 0.97; P=.03; I2=0%). In patients with hypertension, patients exposed to MPIs had a significantly lower systolic BP (mean difference 4.3 mm Hg; 95% CI −7.8 to −0.78 mm Hg; n=2023; P=.02). Conclusions The available data suggest that MPIs may have a role as a valuable adjunct in the management of chronic CVD.
Collapse
Affiliation(s)
- Praveen Indraratna
- Department of Cardiology, Prince of Wales Hospital, Sydney, Australia.,Prince of Wales Clinical School, The University of New South Wales, Sydney, Australia
| | - Daniel Tardo
- Department of Medicine, St Vincent's Hospital, Sydney, Australia.,Faculty of Medicine, The University of Notre Dame, Sydney, Australia
| | - Jennifer Yu
- Department of Cardiology, Prince of Wales Hospital, Sydney, Australia.,Prince of Wales Clinical School, The University of New South Wales, Sydney, Australia
| | - Kim Delbaere
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, Australia.,School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
| | - Matthew Brodie
- Falls, Balance and Injury Research Centre, Neuroscience Research Australia, Sydney, Australia.,Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, Australia
| | - Nigel Lovell
- Graduate School of Biomedical Engineering, The University of New South Wales, Sydney, Australia
| | - Sze-Yuan Ooi
- Department of Cardiology, Prince of Wales Hospital, Sydney, Australia.,Prince of Wales Clinical School, The University of New South Wales, Sydney, Australia
| |
Collapse
|
18
|
Hong M, Esse T, Vadhariya A, Gallardo E, Fosshat MA, Mamvou J, Bruce L, Serna O, Abughosh S. Evaluating Success Factors of a Medication Adherence Tracker Pilot Program in Improving Part D Medication Adherence Metrics in a Medicare Advantage Plan: Importance of Provider Engagement. J Manag Care Spec Pharm 2020; 26:662-667. [PMID: 32347173 PMCID: PMC10391112 DOI: 10.18553/jmcp.2020.26.5.662] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Health plans and providers can increase quality by improving adherence to chronic disease medications included in star ratings among Medicare Advantage Part D (MAPD) plan enrollees. Research is needed to evaluate effective means of collaboration between health plans and providers. The Medication Adherence Tracker (MAT) is a health plan initiative to help primary care providers use outreach to improve their patients' adherence. OBJECTIVE To quantify the contribution of structural and process factors on the success of a health plan-initiated tracking system in improving chronic disease medication adherence over 6 months. METHODS The MAT quality improvement initiative was carried out in South Texas from June to December 2016. Health plan pharmacists used claims data to identify MAPD enrollees at risk of nonadherence to triple-weighted star medications: renin-angiotensin system antagonists, oral diabetes medications, and statins. Actionable reports were delivered biweekly to each provider, either by fax or in person, by embedded health plan nurses. Multivariable regression was used to evaluate sociodemographic and clinical factors as well as the role of provider outreach in increasing paid pharmacy claims and medication adherence as measured by proportion of days covered (PDC) > 0.8. RESULTS Of 3,542 patients in 5 Texas physician-organized delivery system groups whose 67 providers received tracking reports from June through December 2016, 1,901 (54%) patients had more than 1 related prescription, and 3,064 (87%) received provider outreach on at least 1 prescription. 2,493 (70%) had at least 1 paid pharmacy claim. Provider outreach was associated with greater likelihood of paid prescription claims (relative risk [RR] = 4.59, 95% CI = 3.74-5.62) and greater year-end adherence (PDC > 0.8, RR = 1.86, 95% CI = 1.63-2.12) in multivariable predictive models. 95% CIs for age, gender, low-income subsidy eligibility, and number of prescriptions did not exclude the null value. CONCLUSIONS Provider engagement is critical to effective health plan-provider partnerships to overcome barriers, change behavior, and improve chronic disease care quality and population outcomes. DISCLOSURES This study was funded by Cigna. The manuscript was prepared as a work for hire. Hong, Esse, Gallardo, Serna, Fosshat, and Mamvou are employees of CareAllies, a Cigna company. Bruce was employed by Cigna at the time of the study. Vadhariya reports a past internship at Regeneron Pharmaceuticals, unrelated to this work. Abughosh reports grants from Regeneron Pharmaceuticals, Valeant Pharmaceuticals, Sanofi, and BMS/Pfizer, unrelated to this work.
Collapse
Affiliation(s)
| | | | | | | | | | | | - Liana Bruce
- Cigna Health and Life Insurance Company and Lundy-FettermanSchool of Business, Campbell University, Buies Creek, North Carolina
| | | | - Susan Abughosh
- University of Houston College of Pharmacy, Houston, Texas
| |
Collapse
|
19
|
Zijp TR, Touw DJ, van Boven JFM. User Acceptability and Technical Robustness Evaluation of a Novel Smart Pill Bottle Prototype Designed to Support Medication Adherence. Patient Prefer Adherence 2020; 14:625-634. [PMID: 32256053 PMCID: PMC7093103 DOI: 10.2147/ppa.s240443] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 02/27/2020] [Indexed: 01/12/2023] Open
Abstract
PURPOSE Smart medication adherence monitoring devices can provide objective and granular drug utilization data and help patients engaging with their treatment. In this proof-of-concept study, the acceptability and technical robustness of a novel smart pill bottle prototype (SPBP) were assessed in order to allow further optimization. METHODS The SPBP is an app-controlled automatic dispense system, capturing real-time data on a web-based platform, which sends text reminders and measures storage conditions. A heterogeneous group of ten volunteers was asked to dispense placebo capsules with the SPBP and to follow a predefined dosing schedule for a trial period of 2 weeks. Afterwards, a questionnaire was filled out during a short interview. Primary outcome was dispense adherence as measured by the bottle. Other study outcomes included system acceptability (System Usability Scale [SUS]), self-reported adherence (MARS) and technical robustness of the bottle's mechanics (electronic pill dispenser) and sensors (bottle temperature). RESULTS The overall dispense adherence rate as measured by the SPBP was 88%. All participants completed the study and four participants had an adherence rate of 100% during the study. The dispense adherence rates corresponded well with participants' self-reported adherence with an average MARS total score of 23.6 (out of 25). Participants judged the system easy to use, with a mean SUS score of 79.3 (range: 57.5-97.5). The overall mean temperature difference between the bottle sensor and calibrated external sensor was -0.82°C (range: -1.37°C to -0.21°C). CONCLUSION The SPBP was well accepted and this study provides data for further optimization and follow-up studies. Smart adherence technologies such as these may change the way healthcare professionals, trialists and patients manage medication adherence.
Collapse
Affiliation(s)
- Tanja R Zijp
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Daan J Touw
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Pharmaceutical Analysis, University of Groningen, Groningen Research Institute of Pharmacy, Groningen, the Netherlands
- Medication Adherence Expertise Center of the Northern Netherlands (MAECON), Groningen, the Netherlands
| | - Job F M van Boven
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Medication Adherence Expertise Center of the Northern Netherlands (MAECON), Groningen, the Netherlands
- Correspondence: Job FM van Boven University Medical Center Groningen, Hanzeplein 1 (Internal Postcode EB70), Groningen9700 RB, the NetherlandsTel +31503617893 Email
| |
Collapse
|
20
|
Sua YS, Jiang Y, Thompson DR, Wang W. Effectiveness of mobile phone-based self-management interventions for medication adherence and change in blood pressure in patients with coronary heart disease: A systematic review and meta-analysis. Eur J Cardiovasc Nurs 2019; 19:192-200. [PMID: 31856596 DOI: 10.1177/1474515119895678] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
AIMS The aim of this study was to synthesise and evaluate the effectiveness of mobile phone-based self-management interventions for medication adherence and change in blood pressure in patients with coronary heart disease. METHODS Relevant randomised controlled trials evaluating mobile phone-based self-management interventions for medication adherence and/or change in blood pressure in coronary heart disease patients were identified by searching six electronic databases (PubMed, Cochrane, CINAHL, ProQuest, Scopus and EMBASE) from January 2008 to January 2019. The trials were screened, data were extracted and quality was assessed by two independent reviewers. Meta-analyses were performed for different outcomes while narrative syntheses were conducted for studies that could not be pooled or when there was the presence of high heterogeneity. RESULTS Fifteen trials were included in this review, of which 11 of these trials were meta-analysed. Mobile phone-based self-management interventions were associated with a statistically significant reduction in diastolic blood pressure (combined mean difference of -1.99 (95% confidence interval (CI) -3.20 to -0.78; P=0.0001)). However, the combined effect on medication adherence (medium size effect of d=0.72 (95% CI -0.32 to 1.75; P=0.17)) and change in systolic blood pressure (combined mean difference of -1.08 (95% CI -5.51 to 3.35; P=0.63)) was not statistically significant. There was significant heterogeneity among the trials reviewed. CONCLUSION Mobile phone-based self-management interventions have the potential to improve self-management and adherence in patients with coronary heart disease but better designed, conducted and reported trials are needed to demonstrate this.
Collapse
Affiliation(s)
- Yun Shan Sua
- Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore
| | - Ying Jiang
- Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore
| | | | - Wenru Wang
- Alice Lee Centre for Nursing Studies, National University of Singapore, Singapore
| |
Collapse
|
21
|
Jin K, Khonsari S, Gallagher R, Gallagher P, Clark AM, Freedman B, Briffa T, Bauman A, Redfern J, Neubeck L. Telehealth interventions for the secondary prevention of coronary heart disease: A systematic review and meta-analysis. Eur J Cardiovasc Nurs 2019; 18:260-271. [PMID: 30667278 DOI: 10.1177/1474515119826510] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Coronary heart disease (CHD) is a major cause of death worldwide. Cardiac rehabilitation, an evidence-based CHD secondary prevention programme, remains underutilized. Telehealth may offer an innovative solution to overcome barriers to cardiac rehabilitation attendance. We aimed to determine whether contemporary telehealth interventions can provide effective secondary prevention as an alternative or adjunct care compared with cardiac rehabilitation and/or usual care for patients with CHD. METHODS Relevant randomized controlled trials evaluating telehealth interventions in CHD patients with at least three months' follow-up compared with cardiac rehabilitation and/or usual care were identified by searching electronic databases. We checked reference lists, relevant conference lists, grey literature and keyword searching of the Internet. Main outcomes included all-cause mortality, rehospitalization/cardiac events and modifiable risk factors. (PROSPERO registration number 77507.). RESULTS In total, 32 papers reporting 30 unique trials were identified. Telehealth was not significant associated with a lower all-cause mortality than cardiac rehabilitation and/or usual care (risk ratio (RR)=0.60, 95% confidence interval (CI)=0.86 to 1.24, p=0.42). Telehealth was significantly associated with lower rehospitalization or cardiac events (RR=0.56, 95% CI=0.39 to 0.81, p<0.0001) compared with non-intervention groups. There was a significantly lower weighted mean difference (WMD) at medium to long-term follow-up than comparison groups for total cholesterol (WMD= -0.26 mmol/l, 95% CI= -0.4 to -0.11, p <0.001), low-density lipoprotein (WMD= -0.28, 95% CI = -0.50 to -0.05, p=0.02) and smoking status (RR=0.77, 95% CI =0.59 to 0.99, p=0.04]. CONCLUSIONS Telehealth interventions with a range of delivery modes could be offered to patients who cannot attend cardiac rehabilitation, or as an adjunct to cardiac rehabilitation for effective secondary prevention.
Collapse
Affiliation(s)
- Kai Jin
- 1 Charles Perkins Centre, Sydney Nursing School, University of Sydney, Australia
| | - Sahar Khonsari
- 2 School of Health and Social Care, Edinburgh Napier University, UK
| | - Robyn Gallagher
- 3 Charles Perkins Centre, Susan Wakil School of Nursing and Midwifery, Sydney Nursing School, Faculty of Medicine and Health, The University of Sydney, Australia
| | | | | | - Ben Freedman
- 1 Charles Perkins Centre, Sydney Nursing School, University of Sydney, Australia
| | - Tom Briffa
- 6 School of Public Health, University of Western Australia, Perth, Australia
| | - Adrian Bauman
- 7 Sydney School of Public Health, Charles Perkins Centre, Faculty of Medicine and Health and the Australian Prevention Partnership Centre, The University of Sydney, Australia
| | - Julie Redfern
- 8 Westmead Clinical School, Sydney Medical School, The University of Sydney, Australia
| | - Lis Neubeck
- 2 School of Health and Social Care, Edinburgh Napier University, UK
| |
Collapse
|
22
|
Katzman WB, Gladin A, Lane NE, Wong S, Liu F, Jin C, Fukuoka Y. Feasibility and Acceptability of Technology-Based Exercise and Posture Training in Older Adults With Age-Related Hyperkyphosis: Pre-Post Study. JMIR Aging 2019; 2:e12199. [PMID: 31363712 PMCID: PMC6664796 DOI: 10.2196/12199] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Background Hyperkyphosis is common among older adults and is associated with multiple adverse health outcomes. Kyphosis-specific exercise and posture training programs improve hyperkyphosis, but in-person programs are expensive to implement and maintain over long periods. It is unclear if a technology-based posture training program disseminated through a mobile phone is a feasible or acceptable alternative to in-person training among older adults with hyperkyphosis. Objective The primary purpose was to assess the feasibility of subject recruitment, short-term retention and adherence, and acceptability of a technology-based exercise and posture training program disseminated as video clip links and text messaging prompts via a mobile phone. The secondary purpose was to explore the potential efficacy of this program for kyphosis, physical function, and health-related quality of life in older adults with hyperkyphosis. Methods In this 6-week pre-post design pilot trial, we recruited community-dwelling adults aged ≥65 years with hyperkyphosis ≥40° (±5°) and access to a mobile phone. The intervention had two parts: (1) exercise and posture training via video clips sent to participants daily via text messaging, including 6 weekly video clip links to be viewed on the participant’s mobile phone, and (2) text messaging prompts to practice good posture. We analyzed the subject recruitment, adherence, retention, and acceptability of the intervention. Outcomes included change in kyphometer-measured kyphosis, occiput-to-wall (OTW) distance, Short Physical Performance Battery score, Scoliosis Research Society (SRS-30) score, Center for Epidemiological Studies Depression score, and Physical Activity Scale for the Elderly (PASE) score. Results A total of 64 potential participants were recruited, 17 were enrolled, and 12 completed postintervention testing at 6 weeks. The average age was 71.6 (SD 4.9) years, and 50% were women. The median adherence to daily video viewing was 100% (range, 14%-100%) and to practicing good posture at least three times per day was 71% (range, 0%-100%). Qualitative evaluation of intervention acceptability revealed that the mobile phone screen was too small for participants to view the videos well and daily prompts to practice posture were too frequent. Kyphosis, OTW distance, and physical activity significantly improved after the 6-week intervention. Kyphosis decreased by 8° (95% CI –12 to –5; P<.001), OTW decreased by 1.9 cm (95% CI –3.3 to –0.7; P=.007), and physical activity measured by PASE increased by 29 points (95% CI 3 to 54; P=.03). The health-related quality of life SRS-30 score increased by 0.11 point (SD 0.19), but this increase was not statistically significant (P=.09). Conclusions Technology-based exercise and posture training using video clip viewing and text messaging reminders is feasible and acceptable for a small cohort of older adults with hyperkyphosis. Technology-based exercise and posture training warrants further study as a potential self-management program for age-related hyperkyphosis, which may be more easily disseminated than in-person training.
Collapse
Affiliation(s)
- Wendy B Katzman
- Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, CA, USA
| | - Amy Gladin
- Rehabilitation Services, Kaiser Permanente San Francisco Medical Center, San Francisco, CA, USA
| | - Nancy E Lane
- Department of Medicine, University of California, Davis CA, USA
| | - Shirley Wong
- Department of Physical Therapy and Rehabilitation Science, University of California, San Francisco, CA, USA
| | - Felix Liu
- Department of Biostatistics and Epidemiology, University of California, San Francisco, CA, USA
| | - Chengshi Jin
- Department of Biostatistics and Epidemiology, University of California, San Francisco, CA, USA
| | - Yoshimi Fukuoka
- Department of Physiological Nursing, School of Nursing/ Institute for Health & Aging, University of California, San Francisco CA, USA
| |
Collapse
|
23
|
Campbell AR, Kinvig K, Côté HC, Lester RT, Qiu AQ, Maan EJ, Alimenti A, Pick N, Murray MC. Health Care Provider Utilization and Cost of an mHealth Intervention in Vulnerable People Living With HIV in Vancouver, Canada: Prospective Study. JMIR Mhealth Uhealth 2018; 6:e152. [PMID: 29986845 PMCID: PMC6056738 DOI: 10.2196/mhealth.9493] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 05/25/2018] [Accepted: 06/08/2018] [Indexed: 11/13/2022] Open
Abstract
Background Improving adherence to combined antiretroviral therapy (cART) can be challenging, especially among vulnerable populations living with HIV. Even where cART is available free of charge, social determinants of health act as barriers to optimal adherence rates. Patient-centered approaches exploiting mobile phone communications (mHealth) have been shown to improve adherence to cART and promote achievement of suppressed HIV plasma viral loads. However, data are scarce on the health care provider (HCP) time commitments and health care costs associated with such interventions. This knowledge is needed to inform policy and programmatic implementation. Objective The purpose of this study was to approximate the resources required and to provide an estimate of the costs associated with running an mHealth intervention program to improve medication adherence in people living with HIV (PLWH). Methods This prospective study of HCP utilization and costs was embedded within a repeated measures effectiveness study of the WelTel short-message service (SMS) mHealth program. The study included 85 vulnerable, nonadherent PLWH in Vancouver, Canada, and resulted in improved medication adherence and HIV plasma viral load among participants. Study participants were provided mobile phones with unlimited texting (where required) and received weekly bidirectional text messages to inquire on their status for one year. A clinic nurse triaged and managed participants' responses, immediately logging all patient interactions by topic, HCP involvement, and time dedicated to addressing issues raised by participants. Interaction costs were determined in Canadian dollars based on HCP type, median salary within our health authority, and their time utilized as part of the intervention. Results Participant-identified problems within text responses included health-related, social, and logistical issues. Taken together, management of problems required a median of 43 minutes (interquartile range, IQR 17-99) of HCP time per participant per year, for a median yearly cost of Can $36.72 (IQR 15.50-81.60) per participant who responded with at least one problem. The clinic nurse who monitored the texts solved or managed 65% of these issues, and the remaining were referred to a variety of other HCPs. The total intervention costs, including mobile phones, plans, and staffing were a median Can $347.74/highly vulnerable participant per year for all participants or Can $383.18/highly vulnerable participant per year for those who responded with at least one problem. Conclusions Bidirectional mHealth programs improve HIV care and treatment outcomes for PLWH. Knowledge about the HCP cost associated, here less than Can $50/year, provides stakeholders and decision makers with information relevant to determining the feasibility and sustainability of mHealth programs in a real-world setting. Trial Registration ClinicalTrials.gov NCT02603536; https://clinicaltrials.gov/ct2/show/NCT02603536 (Archived by WebCite at http://www.webcitation.org/70IYqKUjV).
Collapse
Affiliation(s)
- Amber R Campbell
- Division of Experimental Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada.,Oak Tree Clinic, British Columbia Women's Hospital, Vancouver, BC, Canada.,Women's Health Research Institute, British Columbia Women's Hospital, Vancouver, BC, Canada
| | - Karen Kinvig
- Oak Tree Clinic, British Columbia Women's Hospital, Vancouver, BC, Canada
| | - Hélène Cf Côté
- Women's Health Research Institute, British Columbia Women's Hospital, Vancouver, BC, Canada.,Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.,Centre for Blood Research, University of British Columbia, Vancouver, BC, Canada
| | - Richard T Lester
- Division of Infectious Disease, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Annie Q Qiu
- Oak Tree Clinic, British Columbia Women's Hospital, Vancouver, BC, Canada
| | - Evelyn J Maan
- Oak Tree Clinic, British Columbia Women's Hospital, Vancouver, BC, Canada.,Women's Health Research Institute, British Columbia Women's Hospital, Vancouver, BC, Canada
| | - Ariane Alimenti
- Oak Tree Clinic, British Columbia Women's Hospital, Vancouver, BC, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Neora Pick
- Oak Tree Clinic, British Columbia Women's Hospital, Vancouver, BC, Canada.,Women's Health Research Institute, British Columbia Women's Hospital, Vancouver, BC, Canada.,Division of Infectious Disease, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Melanie Cm Murray
- Oak Tree Clinic, British Columbia Women's Hospital, Vancouver, BC, Canada.,Women's Health Research Institute, British Columbia Women's Hospital, Vancouver, BC, Canada.,Division of Infectious Disease, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| |
Collapse
|
24
|
Brar Prayaga R, Jeong EW, Feger E, Noble HK, Kmiec M, Prayaga RS. Improving Refill Adherence in Medicare Patients With Tailored and Interactive Mobile Text Messaging: Pilot Study. JMIR Mhealth Uhealth 2018; 6:e30. [PMID: 29382623 PMCID: PMC5811648 DOI: 10.2196/mhealth.8930] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 10/20/2017] [Accepted: 01/08/2018] [Indexed: 11/21/2022] Open
Abstract
Background Nonadherence is a major concern in the management of chronic conditions such as hypertension, cardiovascular disease, and diabetes where patients may discontinue or interrupt their medication for a variety of reasons. Text message reminders have been used to improve adherence. However, few programs or studies have explored the benefits of text messaging with older populations and at scale. In this paper, we present a program design using tailored and interactive text messaging to improve refill rates of partially adherent or nonadherent Medicare members of a large integrated health plan. Objective The aim of this 3-month program was to gain an understanding of whether tailored interactive text message dialogues could be used to improve medication refills in Medicare patients with one or more chronic diseases. Methods We used the mPulse Mobile interactive text messaging solution with partially adherent and nonadherent Medicare patients (ie, over age 65 years or younger with disabilities) of Kaiser Permanente Southern California (KP), a large integrated health plan, and compared refill rates of the text messaging group (n=12,272) to a group of partially adherent or nonadherent Medicare patients at KP who did not receive text messages (nontext messaging group, n=76,068). Both groups were exposed to other forms of refill and adherence outreach including phone calls, secure emails, and robo-calls from December 2016 to February 2017. Results The text messaging group and nontext messaging group were compared using an independent samples t test to test difference in group average of refill rates. There was a significant difference in medication refill rates between the 2 groups, with a 14.07 percentage points higher refill rate in the text messaging group (P<.001). Conclusions The results showed a strong benefit of using this text messaging solution to improve medication refill rates among Medicare patients. These findings also support using interactive text messaging as a cost-effective, convenient, and user-friendly solution for patient engagement. Program outcomes and insights can be used to enhance the design of future text-based solutions to improve health outcomes and promote adherence and long-term behavior change.
Collapse
Affiliation(s)
| | - Erwin W Jeong
- Medicare Medication Therapy Management, Kaiser Permanente Southern California, Downey, CA, United States
| | - Erin Feger
- mPulse Mobile, Inc, Encino, CA, United States
| | - Harmony K Noble
- Regional Pharmacy Clinical Operations, Kaiser Permanente Southern California, Downey, CA, United States
| | | | | |
Collapse
|