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Miao Y, Luo Y, Zhao Y, Liu M, Wang H, Wu Y. Effectiveness of eHealth Interventions in Improving Medication Adherence Among Patients With Cardiovascular Disease: Systematic Review and Meta-Analysis. J Med Internet Res 2024; 26:e58013. [PMID: 39008845 PMCID: PMC11287104 DOI: 10.2196/58013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 04/02/2024] [Accepted: 05/30/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND Nonadherence to medication among patients with cardiovascular diseases undermines the desired therapeutic outcomes. eHealth interventions emerge as promising strategies to effectively tackle this issue. OBJECTIVE The aim of this study was to conduct a network meta-analysis (NMA) to compare and rank the efficacy of various eHealth interventions in improving medication adherence among patients with cardiovascular diseases (CVDs). METHODS A systematic search strategy was conducted in PubMed, Embase, Web of Science, Cochrane, China National Knowledge Infrastructure Library (CNKI), China Science and Technology Journal Database (Weipu), and WanFang databases to search for randomized controlled trials (RCTs) published from their inception on January 15, 2024. We carried out a frequentist NMA to compare the efficacy of various eHealth interventions. The quality of the literature was assessed using the risk of bias tool from the Cochrane Handbook (version 2.0), and extracted data were analyzed using Stata16.0 (StataCorp LLC) and RevMan5.4 software (Cochrane Collaboration). The certainty of evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach. RESULTS A total of 21 RCTs involving 3904 patients were enrolled. The NMA revealed that combined interventions (standardized mean difference [SMD] 0.89, 95% CI 0.22-1.57), telephone support (SMD 0.68, 95% CI 0.02-1.33), telemonitoring interventions (SMD 0.70, 95% CI 0.02-1.39), and mobile phone app interventions (SMD 0.65, 95% CI 0.01-1.30) were statistically superior to usual care. However, SMS compared to usual care showed no statistical difference. Notably, the combined intervention, with a surface under the cumulative ranking curve of 79.3%, appeared to be the most effective option for patients with CVDs. Regarding systolic blood pressure and diastolic blood pressure outcomes, the combined intervention also had the highest probability of being the best intervention. CONCLUSIONS The research indicates that the combined intervention (SMS text messaging and telephone support) has the greatest likelihood of being the most effective eHealth intervention to improve medication adherence in patients with CVDs, followed by telemonitoring, telephone support, and app interventions. The results of these network meta-analyses can provide crucial evidence-based support for health care providers to enhance patients' medication adherence. Given the differences in the design and implementation of eHealth interventions, further large-scale, well-designed multicenter trials are needed. TRIAL REGISTRATION INPLASY 2023120063; https://inplasy.com/inplasy-2023-12-0063/.
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Affiliation(s)
- Yiqun Miao
- School of Nursing, Capital Medical University, Beijing, China
| | - Yuan Luo
- School of Nursing, Capital Medical University, Beijing, China
| | - Yuhan Zhao
- School of Nursing, Capital Medical University, Beijing, China
| | - Mingxuan Liu
- School of Nursing, Capital Medical University, Beijing, China
| | - Huiying Wang
- School of Nursing, Capital Medical University, Beijing, China
| | - Ying Wu
- School of Nursing, Capital Medical University, Beijing, China
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Sakima A, Akagi Y, Akasaki Y, Fujii T, Haze T, Kawakami-Mori F, Kitajima K, Kobayashi Y, Matayoshi T, Sakaguchi T, Yamazato M, Abe M, Ohya Y, Arima H. Effectiveness of digital health interventions for telemedicine/telehealth for managing blood pressure in adults: a systematic review and meta-analysis. Hypertens Res 2024:10.1038/s41440-024-01792-7. [PMID: 38977877 DOI: 10.1038/s41440-024-01792-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 06/15/2024] [Indexed: 07/10/2024]
Abstract
This systematic review and meta-analysis included randomized controlled trials or observational studies that compare digital health interventions (DHIs) for telemedicine/telehealth versus usual care for managing blood pressure (BP) in adults. We searched PubMed, Cochrane CENTRAL, and IchuShi-Web, and used a random-effects meta-analysis of the weighted mean difference (MD) between the comparison groups to pool data from the included studies. The outcome included the pooled MD of office BP from baseline to each follow-up period. This meta-analysis considered 117 studies with 68677 participants as eligible. The 3-month intervention period reduced office systolic BP (SBP) compared with usual care in 38 studies (MD: -3.21 mmHg [95% confidence interval: -4.51 to -1.90]), with evidence of heterogeneity. Office SBP across intervention periods demonstrated comparable effects (3-, 6- [54 studies], 12- [43 studies], and >12-month periods [9 studies]). The benefits for office diastolic BP were similar to those for office SBP. Additionally, the interventions significantly reduced the office SBP compared with the control, regardless of the mode of intervention delivery (smartphone apps [38 studies], text messages [35 studies], and websites [34 studies]) or type of facility (medical [74 studies] vs. non-medical [33 studies]). The interventions were more effective in 41 hypertension cohorts compared with 66 non-hypertension cohorts (-4.81 mmHg [-6.33, -3.29] vs. -2.17 mmHg [-3.15, -1.19], P = 0.006 for heterogeneity). In conclusion, DHIs for telemedicine/telehealth improved BP management compared with usual care. The effectiveness with heterogeneity should be considered, as prudent for implementing evidence-based medicine. This meta-analysis considered 117 studies with 68677 participants eligible. The DHIs for telemedicine/telehealth reduced office BP compared with usual care, regardless of intervention duration, intervention delivery mode, facility type, and cohort type. Additionally, the DHIs reduced the risk of uncontrolled BP compared with usual care, regardless of intervention duration, intervention delivery mode, and facility type. BP blood pressure, DHI digital health intervention, MD mean difference, RR risk ratio, SBP systolic blood pressure.
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Affiliation(s)
- Atsushi Sakima
- Health Administration Center, University of the Ryukyus, Okinawa, Japan.
| | - Yuya Akagi
- Division of Health Sciences, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Yuichi Akasaki
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Takako Fujii
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Tatsuya Haze
- YCU Center for Novel and Exploratory Clinical Trials (Y-NEXT), Yokohama City University Hospital, Kanagawa, Japan
| | - Fumiko Kawakami-Mori
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Mitsui Memorial Hospital, Tokyo, Japan
| | - Ken Kitajima
- Department of Cardiology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Yusuke Kobayashi
- Co-Creation Innovation Center, Yokohama City University, Kanagawa, Japan
| | | | - Takashi Sakaguchi
- Department of Pediatrics, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | | | - Makiko Abe
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
| | - Yusuke Ohya
- University Hospital of the Ryukyus, Okinawa, Japan
| | - Hisatomi Arima
- Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan
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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.
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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.
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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.
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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
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Li Z, Long Y, Yang Q, Liu J, Wang Y. Smartphone-based interventions in the secondary prevention of cardiovascular disease: A meta-analysis. Technol Health Care 2023; 31:1935-1948. [PMID: 37125588 DOI: 10.3233/thc-230022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
BACKGROUND A variety of reviews have indicated the effectiveness of smartphone-based interventions in preventing secondary cardiovascular disease (CVD). However, few studies have focused on clinical outcomes. OBJECTIVE This meta-analysis aimed to evaluate the potential benefits of application interventions and short message service (SMS) interventions on CVD outcomes. METHODS Electronic databases were searched to identify randomized controlled trials (RCT) investigating an application or SMS intervention for secondary CVD prevention. Primary outcomes included major adverse cardiovascular events (MACE), cardiovascular death, and cardiac hospitalization. Secondary outcomes were cardiovascular risk factors (BMI, blood pressure, and cholesterol). RESULTS A total of 26 RCTs were included, with 16 investigating applications and 10 assessing SMS. Overall, there was no significant difference in MACE, cardiovascular death, and cardiac hospitalization when comparing application interventions with usual care, as well as comparing SMS with usual care. Subgroup analysis revealed that patients who received applications without a medical interface had a significantly lower incidence of MACE (OR = 0.56; 95% CI: 0.33, 0.98). Participants who received applications with a medical interface showed a tendency towards higher rates of cardiac hospitalization (OR = 2.03; 95% CI: 0.85, 4.87). Significant reduction in waist circumference (SMD =-0.80; 95% CI: -1.58, -0.03) was found in application interventions compared to usual care; while significant reductions in SBP (SMD =-0.08; 95% CI: -0.15, -0.01) and TC (SMD =-0.31; 95% CI: -0.57, -0.08) were found in SMS interventions compared to usual care. CONCLUSION Smartphone-based interventions, including applications and SMS, have the potential to benefit the secondary prevention of CVD. Applications may reduce the incidence of cardiovascular-related adverse events, while SMS interventions may improve cardiovascular risk factors.
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Affiliation(s)
- Zishuo Li
- Department of Administrative Office, Wuhan Asia Heart Hospital, Wuhan, Hubei, China
| | - Yanli Long
- Department of Cardiac Surgery, Wuhan Asia Heart Hospital, Wuhan, Hubei, China
| | - Qing Yang
- Department of Cardiac Surgery, Wuhan Asia Heart Hospital, Wuhan, Hubei, China
| | - Jing Liu
- Department of Cardiac Surgery, Wuhan Asia Heart Hospital, Wuhan, Hubei, China
| | - Yahong Wang
- Department of Cardiac Surgery, Wuhan Asia Heart Hospital, Wuhan, Hubei, China
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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].
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Donovan G, Hall N, Ling J, Smith F, Wilkes S. Influencing medication taking behaviors using automated two-way digital communication: A narrative synthesis systematic review informed by the Behavior Change Wheel. Br J Health Psychol 2022; 27:861-890. [PMID: 35080811 PMCID: PMC9541766 DOI: 10.1111/bjhp.12580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 11/28/2021] [Accepted: 12/21/2021] [Indexed: 11/27/2022]
Abstract
PURPOSE Around half of prescribed medications for long-term conditions are not taken as directed. Automated two-way digital communication, such as text messaging and interactive voice response technology, could deliver interventions to improve medication adherence, and subsequently health. However, exploration of how such interventions may improve medication adherence is limited. This review aimed to explore how automated two-way digital communication can improve medication taking with or without using non-digital intervention components, such as phone calls with healthcare professionals. METHODS A theory-informed narrative synthesis systematic review. Several databases were searched including CINAHL, Embase, Medline, and Web of Science using key words relating to 'medication adherence' and digital communication technologies. The Behavior Change Technique (BCT) coding using the BCT Taxonomy V1 and the Behavior Change Wheel were used to identify BCTs delivered within the included interventions. RESULTS A total of 3,018 records were screened with 43 study reports included in the review. Four medication-taking behaviors: taking medication, obtaining medication, self-testing, and asking for support were identified as targets for behavior change within the included interventions. Most BCTs within the digital communication component aimed to increase motivation for medication adherence, with non-digital intervention components included to address other medication taking barriers, such as physical and psychological capability. CONCLUSION Automated two-way digital communication can detect barriers to medication adherence by monitoring performance of the taking medication behavior. Monitoring outcomes from taking medication may increase reflective motivation to take medicines. Addressing physical opportunity to taking medication by facilitating the behavior obtaining medication may also increase adherence.
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Affiliation(s)
- Gemma Donovan
- Faculty of Health Sciences and WellbeingSchool of Pharmacy and Pharmaceutical SciencesUniversity of SunderlandUK
| | - Nicola Hall
- Faculty of Medical SciencesPopulation Health Sciences InstituteNewcastle UniversityUK
| | - Jonathan Ling
- Faculty of Health Sciences and WellbeingUniversity of SunderlandUK
| | | | - Scott Wilkes
- Faculty of Health Sciences and WellbeingSchool of MedicineUniversity of SunderlandUK
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Saragih ID, Schorr E, Porta CM, Batubara SO, Lee BO. Effects of telehealth-assisted interventions for secondary prevention of cardiovascular disease: A systematic review and meta-analysis. J Clin Nurs 2022. [PMID: 35821631 DOI: 10.1111/jocn.16452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/12/2022] [Accepted: 06/23/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Telehealth-assisted interventions have been used as secondary prevention measures in cardiac rehabilitation, especially for the delivery of information between healthcare service providers and patients. However, as the application of this intervention modality broadens, investigation of its effects in secondary prevention of cardiovascular disease (CVD) is necessary. AIMS To identify the effectiveness of telehealth-assisted interventions for secondary prevention of CVD. DESIGN Systematic review and meta-analysis. METHODS The PRISMA protocol was used to conduct a systematic review and meta-analysis of randomised controlled trials. The full text of articles was obtained from six databases for the period from database establishment to 25 November 2021. To assess the methodological quality of the studies reviewed, the updated Cochrane risk-of-bias checklist for randomised trials was employed. A meta-analysis was performed using a random-effects model to calculate the pooled effects of telehealth-assisted interventions for secondary CVD prevention. RESULTS The final analysis included 4012 individuals from 18 different trials. Telehealth-assisted interventions were shown to improve medication adherence (standardised mean difference [SMD]: 0.31; 95% confidence interval [CI]: 0.33-0.59) and reduce depression (SMD: -0.28; 95% CI: -0.46 to -0.10). CONCLUSIONS Telehealth-assisted interventions appear to improve adherence to medication and reduce depression of individuals with CVD. These intervention strategies could be offered to both healthcare providers and individuals with CVD as an option in delivering and facilitating the use of health services to improve health behaviours and overall outcomes. Furthermore, this study may be used as guidance for future research to provide an appropriate plan of care for this population. RELEVANCE TO CLINICAL PRACTICE The findings imply that the delivery of care remotely via telehealth-assisted interventions for secondary prevention of CVD is beneficial in improving CVD survivors' health and access to healthcare services. TRIAL REGISTRATION The International Prospective Register of Systematic Review: (PROSPERO): CRD 42021290111.
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Affiliation(s)
| | - Erica Schorr
- Adult & Gerontological Health Cooperative, School of Nursing, University of Minnesota, Minneapolis, Minnesota, USA
| | - Carolyn M Porta
- School of Nursing, University of Minnesota, Minneapolis, Minnesota, USA
| | | | - Bih-O Lee
- College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan
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High Level of Uric Acid Promotes Atherosclerosis by Targeting NRF2-Mediated Autophagy Dysfunction and Ferroptosis. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:9304383. [PMID: 35480874 PMCID: PMC9038411 DOI: 10.1155/2022/9304383] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/22/2022] [Accepted: 03/29/2022] [Indexed: 12/11/2022]
Abstract
Atherosclerotic vascular disease (ASVD) is the leading cause of death worldwide. Hyperuricemia is the fourth risk factor for atherosclerosis after hypertension, diabetes, and hyperlipidemia. The mechanism of hyperuricemia affecting the occurrence and development of atherosclerosis has not been fully elucidated. Mononuclear macrophages play critical roles in all stages of atherosclerosis. Studies have confirmed that both hyperuricemia and ferroptosis promote atherosclerosis, but whether high level of uric acid (HUA) promotes atherosclerosis by regulating ferroptosis in macrophages remains unclear. We found that HUA significantly promoted the development of atherosclerotic plaque and downregulated the protein level of the NRF2/SLC7A11/GPX4 signaling pathway in ApoE−/− mice. Next, we evaluated the effect of HUA and ferroptosis inhibitor ferrostatin-1 (Fer-1) treatment on the formation of macrophage-derived foam cells. HUA promoted the formation of foam cells, decreased cell viability, and increased iron accumulation and lipid peroxidation in macrophages treated with oxidized low-density lipoprotein (oxLDL); these effects were reversed by Fer-1 treatment. Mechanistically, HUA significantly inhibited autophagy and the protein level of the NRF2/SLC7A11/GPX4 signaling pathway. Fer-1 activated autophagy and upregulated the level of ferroptosis-associated proteins. Moreover, an NRF2 inducer (tertbutyl hydroquinone (TBHQ)) and autophagy activator (rapamycin (RAPA)) could reverse the inhibitory effect of HUA on foam cell survival. Our results suggest that HUA-induced ferroptosis of macrophages is involved in the formation of atherosclerotic plaques. More importantly, enhancing autophagy and inhibiting ferroptosis by activating NRF2 may alleviate HUA-induced atherosclerosis. These findings might contribute to a deeper understanding of the role of HUA in the pathogenesis of atherosclerosis and provide a therapeutic target for ASVD associated with hyperuricemia.
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Khedraki R, Srivastava AV, Bhavnani SP. Framework for Digital Health Phenotypes in Heart Failure. Heart Fail Clin 2022; 18:223-244. [DOI: 10.1016/j.hfc.2021.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Building your Peripheral Artery Disease Tool Kit: Medical Management of PAD in 2022. Can J Cardiol 2022; 38:634-644. [DOI: 10.1016/j.cjca.2022.02.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/24/2022] [Accepted: 02/05/2022] [Indexed: 12/24/2022] Open
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