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Wildenauer A, Maurer LF, Rötzer L, Eggert T, Schöbel C. The effects of a digital lifestyle intervention in patients with hypertension: Results of a pilot randomized controlled trial. J Clin Hypertens (Greenwich) 2024; 26:902-911. [PMID: 38992970 PMCID: PMC11301437 DOI: 10.1111/jch.14811] [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: 12/05/2023] [Revised: 03/08/2024] [Accepted: 03/13/2024] [Indexed: 07/13/2024]
Abstract
In this pilot study, the authors investigated the preliminary effectiveness of the digital lifestyle intervention, actensio (mementor DE GmbH), in treating arterial hypertension. Adults with arterial hypertension were randomly assigned to an intervention group (actensio + standard care) or a control group (waiting list + standard care) in a 1:1 ratio. Primary and secondary endpoints were assessed at baseline (t0) and 3 months post-randomization (t1). The primary endpoint was average systolic blood pressure, measured at home for 1 week. Secondary endpoints included patient engagement (measured using the "patient activation measure"; PAM-13), average diastolic blood pressure, and heart rate. All endpoints were analyzed using ANCOVA models, following an intention-to-treat approach, while adjusting for baseline values. Missing data were estimated using multiple imputation models. A total of N = 102 participants (f = 59, age = 52.94 ± 9.01) were randomized to either the intervention (IG; N = 52) or the control group (CG; N = 50), of which N = 80 completed the blood pressure diary, and N = 81 the PAM-13 at t1. Between-group comparisons showed an average group difference in systolic blood pressure of -5.06 mm Hg (95% CI = -8.71 to -1.41, p = .013) between the intervention group (M = 137.37 ± 10.13) and the control group (M = 142.35 ± 11.23). Average group difference for patient engagement was 3.35 points with a trend towards statistical significance (95% CI = -018 to 6.89, p = .064), favoring the intervention group (MIG = 79.38 ± 9.44 vs. MCG = 75.45 ± 10.62). There were no group differences in diastolic blood pressure (-1.78 mm Hg; 95% CI = -4.50 to 0.95, p = .402) and heart rate (-0.684; 95% CI = -3.73 to 2.36, p = 0.683). The results of the present pilot study confirm the preliminary effectiveness of the digital lifestyle intervention, actensio, in reducing high blood pressure in patients with hypertension.
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Grant SJ, Liu S, Rhodes RE. A web-based physical activity intervention targeting affect regulation: a randomized feasibility trial. Psychol Health 2024:1-23. [PMID: 38946146 DOI: 10.1080/08870446.2024.2372658] [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: 10/12/2023] [Accepted: 06/20/2024] [Indexed: 07/02/2024]
Abstract
Early career professionals (ECPs) are a critical target for physical activity (PA) promotion. Affect contributes to an established PA intention-behaviour gap and is pertinent among ECPs. OBJECTIVE The purpose of this study was to examine the feasibility and acceptability of a web-based intervention and explore the effects on secondary outcomes (moderate-to-vigorous PA (MVPA), emotion regulation, multi-process action control constructs). METHODS Adults aged 25-44 who were employed at least part-time in a desk-based job and not meeting PA guidelines (<150 min MVPA) were recruited and randomized into a 6-week online intervention integrating acceptance and commitment principles and affect regulation strategies, or a control group. RESULTS Forty adults were recruited and randomized to the web-based intervention (n = 21) and waitlist control (n = 19). The recruitment rate was 29%, retention was 75%, engagement was 68%, and satisfaction was high in both quantitative and qualitative assessment. Participants allocated to the intervention improved MVPA (ηp2=0.30), emotion regulation (ηp2 =0.49), behavioural regulation (ηp2=0.53), affective attitude (ηp2=0.23), identity (ηp2=0.24), and constructs of mindfulness (ηp2=0.44), and valued living (ηp2=0.20). CONCLUSIONS Primary outcomes concerning feasibility were adequate and secondary outcomes improved, suggesting a full-scale randomized controlled trial is feasible with minor modifications. A large-scale study is warranted to establish intervention effectiveness.
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Affiliation(s)
- Stina J Grant
- Behavioural Medicine Lab, @bmedlab, University of Victoria, Victoria, BC, Canada
| | - Sam Liu
- Digital Health Lab, University of Victoria, Victoria, BC, Canada
| | - Ryan E Rhodes
- Behavioural Medicine Lab, @bmedlab, University of Victoria, Victoria, BC, Canada
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Bagherikholenjani F, Shahidi S, Khosravi A, Mansouri A, Ashoorion V, Sarrafzadegan N. Update of the clinical guideline for hypertension diagnosis and treatment in Iran. Clin Hypertens 2024; 30:13. [PMID: 38822442 PMCID: PMC11143619 DOI: 10.1186/s40885-024-00269-6] [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: 02/03/2024] [Accepted: 03/12/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND This article introduces the updated version of the Iranian guideline for the diagnosis and treatment of hypertension in adults. The initial version of the national guideline was developed in 2011 and updated in 2014. Among the reasons necessitating the update of this guideline were the passage of time, the incompleteness of the scopes, the limitation of the target group, and more important is the request of the ministry of health in Iran. METHOD The members of the guideline updating group, after reviewing the original version and the new evidence, prepared 10 clinical questions regarding hypertension, and based on the evidence found from the latest scientific documents, provided recommendations or suggestions to answer these questions. RESULT According to the updated guideline, the threshold for office prehypertension diagnosis should be considered the systolic blood pressure (SBP) of 130-139 mmHg and/or the diastolic blood pressure (DBP) of 80-89 mmHg, and in adults under 75 years of age without comorbidities, the threshold for office hypertension diagnosis should be SBP ≥ 140 mmHg and or DBP ≥ 90 mmHg. The goal of treatment in adults who lack comorbidities and risk factors is SBP < 140 mmHg and DBP < 90 mmHg. The first-line treatment recommended in people with prehypertension is lifestyle modification, while for those with hypertension, pharmacotherapy along with lifestyle modification. The threshold to start drug therapy is determined at SBP ≥ 140 mmHg and or DBP ≥ 90 mmHg, and the first-line treatment is considered a drug or a combined pill of antihypertensive drugs, including ACEIs, ARBs, thiazide and thiazide-like agents, or CCBs. At the beginning of the pharmacotherapy, the Guideline Updating Group members suggested studying serum electrolytes, creatinine, lipid profile, fasting sugar, urinalysis, and an electrocardiogram. Regarding the visit intervals, monthly visits are suggested at the beginning of the treatment or in case of any change in the type or dosage of the drug until achieving the treatment goal, followed by every 3-to-6-month visits. Moreover, to reduce further complications, it was suggested that healthcare unit employees use telehealth strategies. CONCLUSIONS In this guideline, specific recommendations and suggestions have been presented for adults and subgroups like older people or those with cardiovascular disease, diabetes mellitus, chronic kidney disease, and COVID-19.
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Affiliation(s)
- Fahimeh Bagherikholenjani
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shahla Shahidi
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Alireza Khosravi
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
- Iranian Network of Cardiovascular Research, Tehran, Iran
| | - Asieh Mansouri
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
- Iranian Network of Cardiovascular Research, Tehran, Iran.
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Cohen Rodrigues TR, Breeman LD, Kinik A, Reijnders T, Dusseldorp E, Janssen VR, Kraaijenhagen RA, Atsma DE, Evers AW. Effectiveness of Human-Supported and Self-Help eHealth Lifestyle Interventions for Patients With Cardiometabolic Risk Factors: A Meta-Analysis. Psychosom Med 2023; 85:795-804. [PMID: 37549197 PMCID: PMC10662612 DOI: 10.1097/psy.0000000000001242] [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] [Received: 01/06/2023] [Revised: 06/02/2023] [Indexed: 08/09/2023]
Abstract
OBJECTIVE eHealth is a useful tool to deliver lifestyle interventions for patients with cardiometabolic diseases. However, there are inconsistent findings about whether these eHealth interventions should be supported by a human professional, or whether self-help interventions are equally effective. METHODS Databases were searched between January 1995 and October 2021 for randomized controlled trials on cardiometabolic diseases (cardiovascular disease, chronic kidney disease, type 1 and 2 diabetes mellitus) and eHealth lifestyle interventions. A multilevel meta-analysis was used to pool clinical and behavioral health outcomes. Moderator analyses assessed the effect of intervention type (self-help versus human-supported), dose of human support (minor versus major part of intervention), and delivery mode of human support (remote versus blended). One hundred seven articles fulfilled eligibility criteria and 102 unique ( N = 20,781) studies were included. RESULTS The analysis showed a positive effect of eHealth lifestyle interventions on clinical and behavioral health outcomes ( p < .001). However, these effects were not moderated by intervention type ( p = .169), dose ( p = .698), or delivery mode of human support ( p = .557). CONCLUSIONS This shows that self-help eHealth interventions are equally effective as human-supported ones in improving health outcomes among patients with cardiometabolic disease. Future studies could investigate whether higher-quality eHealth interventions compensate for a lack of human support.Meta-analysis registration: PROSPERO CRD42021269263 .
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Mair JL, Salamanca-Sanabria A, Augsburger M, Frese BF, Abend S, Jakob R, Kowatsch T, Haug S. Effective Behavior Change Techniques in Digital Health Interventions for the Prevention or Management of Noncommunicable Diseases: An Umbrella Review. Ann Behav Med 2023; 57:817-835. [PMID: 37625030 PMCID: PMC10498822 DOI: 10.1093/abm/kaad041] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND Despite an abundance of digital health interventions (DHIs) targeting the prevention and management of noncommunicable diseases (NCDs), it is unclear what specific components make a DHI effective. PURPOSE This narrative umbrella review aimed to identify the most effective behavior change techniques (BCTs) in DHIs that address the prevention or management of NCDs. METHODS Five electronic databases were searched for articles published in English between January 2007 and December 2022. Studies were included if they were systematic reviews or meta-analyses of DHIs targeting the modification of one or more NCD-related risk factors in adults. BCTs were coded using the Behavior Change Technique Taxonomy v1. Study quality was assessed using AMSTAR 2. RESULTS Eighty-five articles, spanning 12 health domains and comprising over 865,000 individual participants, were included in the review. We found evidence that DHIs are effective in improving health outcomes for patients with cardiovascular disease, cancer, type 2 diabetes, and asthma, and health-related behaviors including physical activity, sedentary behavior, diet, weight management, medication adherence, and abstinence from substance use. There was strong evidence to suggest that credible source, social support, prompts and cues, graded tasks, goals and planning, feedback and monitoring, human coaching and personalization components increase the effectiveness of DHIs targeting the prevention and management of NCDs. CONCLUSIONS This review identifies the most common and effective BCTs used in DHIs, which warrant prioritization for integration into future interventions. These findings are critical for the future development and upscaling of DHIs and should inform best practice guidelines.
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Affiliation(s)
- Jacqueline Louise Mair
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence And Technological Enterprise (CREATE), Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
| | - Alicia Salamanca-Sanabria
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence And Technological Enterprise (CREATE), Singapore
| | - Mareike Augsburger
- Swiss Research Institute for Public Health and Addiction, University of Zurich, Zurich, Switzerland
- Klenico Health AG, Zurich, Switzerland
| | - Bea Franziska Frese
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence And Technological Enterprise (CREATE), Singapore
- Centre for Digital Health Interventions, Institute of Technology Management, University of St.Gallen, St.Gallen, Switzerland
| | - Stefanie Abend
- Swiss Research Institute for Public Health and Addiction, University of Zurich, Zurich, Switzerland
| | - Robert Jakob
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
| | - Tobias Kowatsch
- Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland
- School of Medicine, University of St.Gallen, St.Gallen, Switzerland
- Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland
- Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence And Technological Enterprise (CREATE), Singapore
| | - Severin Haug
- Swiss Research Institute for Public Health and Addiction, University of Zurich, Zurich, Switzerland
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Ruiz-Cortés M, Múzquiz-Barberá P, Herrero R, Vara MD, Escrivá-Martínez T, Carcelén R, Rodilla E, Baños RM, Lisón JF. How the Presence of a Doctor Known to Patients Impacts a Web-Based Intervention to Promote Physical Activity and Healthy Eating Behaviour in Individuals with an Overweight/Obesity–Hypertension Phenotype: A Randomised Clinical Trial. Nutrients 2023; 15:nu15071624. [PMID: 37049465 PMCID: PMC10097159 DOI: 10.3390/nu15071624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/22/2023] [Accepted: 03/24/2023] [Indexed: 03/30/2023] Open
Abstract
(1) Background: The ‘Living Better’ web-based programme has shown short- and long-term benefits for body composition and psychological variables in obese patients with hypertension by promoting a healthier lifestyle. To further explore the potential of this programme, in this work we aimed to explore the possible effect of the patient’s ‘own doctor’ appearing in the video content of the Living Better intervention. (2) Methods: A total of 132 patients were randomly assigned either to the experimental (EG, n = 70) or control (CG, n = 62) group (with a doctor the patient knew as ‘their own’ or an ‘unknown doctor’, respectively). The body mass index (BMI), motivation towards physical activity (PA), PA levels, motivation to change one’s eating habits, adherence to the Mediterranean diet, and eating behaviour were all assessed and compared at baseline and post-intervention (12 weeks). (3) Results: The results of this study confirmed the positive effects of the Living Better programme on BMI and external eating style, with significant improvements in these variables in both groups. In addition, in the EG there was higher intrinsic motivation to change eating behaviour (mean difference of 0.9, 95% CI [0.1, 1.6], p = 0.032) and lower amotivation (mean difference of −0.6, 95% CI [−1.2, −0.1], p = 0.027) compared to the CG. (4) Conclusions: This study suggests that the presence of the patients’ own doctor in the audiovisual content of the Living Better intervention did not have significant additional benefits in terms of BMI or external eating style. However, their presence did improve intrinsic motivation and amotivation related to eating habits.
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Affiliation(s)
- Marta Ruiz-Cortés
- Department of Biomedical Sciences, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, 46115 Valencia, Spain
| | - Pedro Múzquiz-Barberá
- Department of Nursing and Physiotherapy, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, 46115 Valencia, Spain
| | - Rocío Herrero
- Department of Psychology and Sociology, Universidad de Zaragoza, 50009 Teruel, Spain
- Centre of Physiopathology of Obesity and Nutrition (CIBERobn), CB06/03/0052, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - María Dolores Vara
- Centre of Physiopathology of Obesity and Nutrition (CIBERobn), CB06/03/0052, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Polibienestar Research Institute, Universitat de València, 46022 Valencia, Spain
| | - Tamara Escrivá-Martínez
- Centre of Physiopathology of Obesity and Nutrition (CIBERobn), CB06/03/0052, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Polibienestar Research Institute, Universitat de València, 46022 Valencia, Spain
| | - Raquel Carcelén
- Department of Medicine and Surgery, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, 46115 Valencia, Spain
| | - Enrique Rodilla
- Department of Medicine and Surgery, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, 46115 Valencia, Spain
- Hypertension and Vascular Risk Unit, Hospital Universitario de Sagunto, 46115 Valencia, Spain
| | - Rosa María Baños
- Centre of Physiopathology of Obesity and Nutrition (CIBERobn), CB06/03/0052, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Polibienestar Research Institute, Universitat de València, 46022 Valencia, Spain
| | - Juan Francisco Lisón
- Department of Biomedical Sciences, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, 46115 Valencia, Spain
- Centre of Physiopathology of Obesity and Nutrition (CIBERobn), CB06/03/0052, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-961369000 (ext. 64540)
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Willms A, Rhodes RE, Liu S. Effects of Mobile-Based Financial Incentive Interventions for Adults at Risk of Developing Hypertension: Feasibility Randomized Controlled Trial. JMIR Form Res 2023; 7:e36562. [PMID: 36961486 PMCID: PMC10131910 DOI: 10.2196/36562] [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: 01/17/2022] [Revised: 02/03/2023] [Accepted: 02/05/2023] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Hypertension is the leading modifiable risk factor for cardiovascular disease and mortality. Adopting lifestyle modifications, like increasing physical activity (PA), can be an effective strategy in blood pressure (BP) control, but many adults do not meet the PA guidelines. Financial incentive interventions have the power to increase PA levels but are often limited due to cost. Further, mobile health technologies can make these programs more scalable. There is a gap in the literature about the most feasible and effective financial incentive PA framework; thus, pay-per-minute (PPM) and self-funded investment incentive (SFII) frameworks were explored. OBJECTIVE The aims were to (1) determine the feasibility (recruitment, engagement, and acceptability) of an 8-week mobile-based PPM and SFII hypertension prevention PA program and (2) explore the effects of PPM and SFII interventions relative to a control on the PA levels, BP, and PA motivation. METHODS In total, 55 adults aged 40-65 years not meeting the Canadian PA guidelines were recruited from Facebook and randomized into the following groups: financial incentive groups, PPM or SFII, receiving up to CAD $20 each (at the time of writing: CAD $1=US $0.74), or a control group without financial incentive. PPM participants received CAD $0.02 for each minute of moderate-to-vigorous PA (MVPA) per week up to the PA guidelines and the SFII received CAD $2.50 for each week they met the PA guidelines. Feasibility outcome measures (recruitment, engagement, and acceptability) were assessed. Secondary outcomes included changes in PA outcomes (MVPA and daily steps) relative to baseline were compared among PPM, SFII, and control groups at 4 and 8 weeks using linear regressions. Changes in BP and relative autonomy index relative to baseline were compared among the groups at follow-up. RESULTS Participants were randomized to the PPM (n=19), SFII (n=18), or control (n=18) groups. The recruitment, retention rate, and engagement were 77%, 75%, and 65%, respectively. The intervention received overall positive feedback, with 90% of comments praising the intervention structure, financial incentive, and educational materials. Relative to the control at 4 weeks, the PPM and SFII arms increased their MVPA with medium effect (PPM vs control: η2p=0.06, mean 117.8, SD 514 minutes; SFII vs control: η2p=0.08, mean 145.3, SD 616 minutes). At 8 weeks, PPM maintained a small effect in MVPA relative to the control (η2p=0.01, mean 22.8, SD 249 minutes) and SFII displayed a medium effect size (η2p=0.07, mean 113.8, SD 256 minutes). Small effects were observed for PPM and SFII relative to the control for systolic blood pressure (SBP) and diastolic blood pressure (DBP) (PPM: η2p=0.12, Δmean SBP 7.1, SD 23.61 mm Hg; η2p=0.04, Δmean DBP 3.5, SD 6.2 mm Hg; SFII: η2p=0.01, Δmean SBP -0.4, SD 1.4 mm Hg; η2p=0.02, Δmean DBP -2.3, SD 7.7 mm Hg) and relative autonomy index (PPM: η2p=0.01; SFII: η2p=0.03). CONCLUSIONS The feasibility metrics and preliminary findings suggest that a future full-scale randomized controlled trial examining the efficacy of PPM and SFII relative to a control is feasible, and studies with longer duration are warranted.
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Affiliation(s)
- Amanda Willms
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Ryan E Rhodes
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
- Department of Psychology, University of Victoria, Victoria, BC, Canada
| | - Sam Liu
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
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Múzquiz-Barberá P, Ruiz-Cortés M, Herrero R, Vara MD, Escrivá-Martínez T, Baños RM, Rodilla E, Lisón JF. "Own doctor" presence in a web-based lifestyle intervention for adults with obesity and hypertension: A randomized controlled trial. Front Public Health 2023; 11:1115711. [PMID: 36998287 PMCID: PMC10043391 DOI: 10.3389/fpubh.2023.1115711] [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: 12/07/2022] [Accepted: 02/23/2023] [Indexed: 03/18/2023] Open
Abstract
Introduction Online interventions have long been shown to be an effective means to promote a healthy lifestyle, thereby helping to control body weight and blood pressure figures. Likewise, using video modeling is also considered an effective way to guide patients through behavioral interventions. Nonetheless, to the best of our knowledge, this study is the first to analyze how the presence of patients' "own doctor" in the audiovisual content of a web-based lifestyle program ("Living Better") aimed at promoting regular physical exercise and healthy eating behavior, compared with an "unknown doctor," influences the outcomes of adults with obesity and hypertension. Materials and methods A total of 132 patients were randomly assigned either to the experimental (n = 70) or control (n = 62) group ("own doctor" or "unknown doctor", respectively). The body mass index, systolic and diastolic blood pressure, number of antihypertensive drugs used, physical activity level, and quality of life was assessed and compared at baseline and post-intervention (12 weeks). Results The intention-to-treat analysis showed intragroup significant improvements in both groups in terms of the body mass index (control group: mean difference -0.3, 95% CI [-0.5, -0.1], p = 0.002; experimental group: -0.4 [-0.6, -0.2], p < 0.001) and systolic blood pressure (control group: -2.3 [-4.4, -0.2], p = 0.029; experimental group: -3.6 [-5.5, -1.6], p< 0.001). In addition, there were also significant improvements in the experimental group for the diastolic blood pressure (-2.5 [-3.7, -1.2], p < 0.001), physical activity (479 [9, 949], p = 0.046), and quality of life (5.2 [2.3, 8.2], p = 0.001). However, when comparing the experimental with the control group, no between-group significant differences were found in these variables. Conclusions This study suggests that the presence of patients' "own doctor" in the audiovisual content of a web-based intervention, aimed at promoting a healthy lifestyle among adults with obesity and hypertension, do not show significant additional benefits over the efficacy of e-counseling. Trial registration ClinicalTrials.gov NCT04426877. First Posted: 11/06/2020. https://clinicaltrials.gov/ct2/show/NCT04426877.
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Affiliation(s)
- Pedro Múzquiz-Barberá
- Department of Nursing and Physiotherapy, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, Valencia, Spain
| | - Marta Ruiz-Cortés
- Department of Biomedical Sciences, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, Valencia, Spain
| | - Rocío Herrero
- Department of Psychology and Sociology, Universidad de Zaragoza, Teruel, Spain
- CIBER-Obn Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Tamara Escrivá-Martínez
- CIBER-Obn Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid, Spain
- Polibienestar Research Institute, Universitat de València, Valencia, Spain
| | - Rosa María Baños
- CIBER-Obn Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid, Spain
- Polibienestar Research Institute, Universitat de València, Valencia, Spain
| | - Enrique Rodilla
- Department of Medicine and Surgery, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, Valencia, Spain
- Hypertension and Vascular Risk Unit, Hospital Universitario de Sagunto, Valencia, Spain
| | - Juan Francisco Lisón
- Department of Biomedical Sciences, Faculty of Health Sciences, University CEU-Cardenal Herrera, CEU Universities, Valencia, Spain
- CIBER-Obn Physiopathology of Obesity and Nutrition, Instituto de Salud Carlos III, Madrid, Spain
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Nuss K, Coulter R, DeSilva B, Buenafe J, Sheikhi R, Naylor PJ, Liu S. Evaluating the Effectiveness of a Family-Based Virtual Childhood Obesity Management Program Delivered During the COVID-19 Pandemic in Canada: Prospective Study. JMIR Pediatr Parent 2022; 5:e40431. [PMID: 36054663 PMCID: PMC9635440 DOI: 10.2196/40431] [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: 06/20/2022] [Revised: 08/26/2022] [Accepted: 08/27/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Generation Health (GH) is a 10-week family-based lifestyle program designed to promote a healthy lifestyle for families with children who are off the healthy weight trajectory in British Columbia, Canada. GH uses a blended delivery format that involves 10 weekly in-person sessions, and self-guided lessons and activities on a web portal. The blended program was adapted to be delivered virtually due to the COVID-19 pandemic. Currently, the effectiveness of the virtual GH program compared with that of the blended GH program remains unclear. OBJECTIVE We aimed to (1) compare the effectiveness of the virtual GH program delivered during the COVID-19 pandemic with that of the blended GH program delivered prior to the pandemic for changing child physical activity, sedentary and dietary behaviors, screen time, and parental support-related behaviors for child physical activity and healthy eating, and (2) explore virtual GH program engagement and satisfaction. METHODS This study used a single-arm pre-post design. The blended GH program (n=102) was delivered from January 2019 to February 2020, and the virtual GH program (n=90) was delivered during the COVID-19 pandemic from April 2020 to March 2021. Families with children aged 8-12 years and considered overweight or obese (BMI ≥85th percentile according to age and sex) were recruited. Participants completed preintervention and postintervention questionnaires to assess the children's physical activity, dietary and sedentary behaviors, and screen time, and the parent's support behaviors. Intervention feedback was obtained by interviews. Repeated measures ANOVA was used to evaluate the difference between the virtual and blended GH programs over time. Qualitative interviews were analyzed using thematic analyses. RESULTS Both the virtual and blended GH programs improved children's moderate-to-vigorous physical activity (F1,380=18.37; P<.001; ηp2=0.07) and reduced screen time (F1,380=9.17; P=.003; ηp2=0.06). However, vegetable intake was significantly greater in the virtual GH group than in the blended GH group at the 10-week follow-up (F1,380=15.19; P<.001; ηp2=0.004). Parents in both groups showed significant improvements in support behaviors for children's physical activity (F1,380=5.55; P=.02; ηp2=0.002) and healthy eating (F1,380=3.91; P<.001; ηp2=0.01), as well as self-regulation of parental support for children's physical activity (F1,380=49.20; P<.001; ηp2=0.16) and healthy eating (F1,380=91.13; P<.001; ηp2=0.28). Families in both groups were satisfied with program delivery. There were no significant differences in attendance for the weekly in-person or group video chat sessions; however, portal usage was significantly greater in the virtual GH group (mean 50, SD 55.82 minutes) than in the blended GH group (mean 17, SD 15.3 minutes; P<.001). CONCLUSIONS The study findings suggested that the virtual GH program was as effective as the blended program for improving child lifestyle behaviors and parental support-related behaviors. The virtual program has the potential to improve the flexibility and scalability of family-based childhood obesity management interventions.
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Affiliation(s)
- Kayla Nuss
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Rebecca Coulter
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | | | - Jeann Buenafe
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Ronak Sheikhi
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Patti-Jean Naylor
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Sam Liu
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
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10
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Liu S, La H, Willms A, Rhodes RE. A “No-Code” App Design Platform for Mobile Health Research: Development and Usability Study. JMIR Form Res 2022; 6:e38737. [PMID: 35980740 PMCID: PMC9437789 DOI: 10.2196/38737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 06/29/2022] [Accepted: 07/19/2022] [Indexed: 11/13/2022] Open
Abstract
Background
A challenge facing researchers conducting mobile health (mHealth) research is the amount of resources required to develop mobile apps. This can be a barrier to generating relevant knowledge in a timely manner. The recent rise of “no-code” software development platforms may overcome this challenge and enable researchers to decrease the cost and time required to develop mHealth research apps.
Objective
We aimed to describe the development process and the lessons learned to build Pathverse, a no-code mHealth app design platform.
Methods
The study took place between November 2019 and December 2021. We used a participatory research framework to develop the mHealth app design platform. In phase 1, we worked with researchers to gather key platform feature requirements and conducted an exploratory literature search to determine needs related to this platform. In phase 2, we used an agile software framework (Scrum) to develop the platform. Each development sprint cycle was 4 weeks in length. We created a minimum viable product at the end of 7 sprint cycles. In phase 3, we used a convenience sample of adults (n=5) to gather user feedback through usability and acceptability testing. In phase 4, we further developed the platform based on user feedback, following the V-model software development process.
Results
Our team consulted end users (ie, researchers) and utilized behavior change technique taxonomy and behavior change models (ie, the multi-process action control framework) to guide the development of features. The first version of the Pathverse platform included features that allowed researchers to (1) design customized multimedia app content (eg, interactive lessons), (2) set content delivery logic (eg, only show new lessons when completing the previous lesson), (3) implement customized participant surveys, (4) provide self-monitoring tools, (5) set personalized goals, and (6) customize app notifications. Usability and acceptability testing revealed that researchers found the platform easy to navigate and that the features were intuitive to use. Potential improvements include the ability to deliver adaptive interventions and add features such as community group chat.
Conclusions
To our knowledge, Pathverse is the first no-code mHealth app design platform for developing mHealth interventions for behavior. We successfully used behavior change models and the behavior change technique taxonomy to inform the feature requirements of Pathverse. Overall, the use of a participatory framework, combined with the agile and hybrid-agile software development process, enabled our team to successfully develop the Pathverse platform.
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Affiliation(s)
- Sam Liu
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Henry La
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Amanda Willms
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Ryan E Rhodes
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
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11
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A Systematic Review of Internet-Based Interventions for the Prevention and Self-Management of Cardiovascular Diseases among People of African Descent. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19148872. [PMID: 35886719 PMCID: PMC9319273 DOI: 10.3390/ijerph19148872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/13/2022] [Accepted: 07/15/2022] [Indexed: 11/17/2022]
Abstract
Cardiovascular disease (CVD) risk factors, morbidity, and mortality among people of African descent (PAD) appear to be higher than in the general population. While it has been found that lifestyle changes can prevent around 90% of CVDs, implementing an effective lifestyle programme is expensive and time-consuming. It has been demonstrated that Internet-based interventions (IbIs) can effectively and inexpensively encourage lifestyle modifications to prevent and manage chronic diseases. Although a number of studies have examined the effectiveness of IbIs in the general population, no comprehensive study of the usefulness and acceptability of IbIs among PAD has been conducted. This is the knowledge gap that this study aimed to address. We searched MEDLINE, EMBASE, CINAHL, and Web of Science to identify eligible studies published from inception to February 2022. Thirteen articles met our criteria for inclusion. Our textual narrative synthesis produced inconsistent results; nonetheless, high acceptability of IbIs and a considerable improvement in clinical and behavioural outcomes associated with CVDs were reported in several trials. The findings of this review are constrained by clinical, methodological and statistical variability among the studies. To have a good grasp on the effect of IbIs on behaviour change in PAD at risk of CVDs, large-scale longitudinal studies with long-term follow-up are required.
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12
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The Impact of a Web-Based Lifestyle Educational Program ('Living Better') Reintervention on Hypertensive Overweight or Obese Patients. Nutrients 2022; 14:nu14112235. [PMID: 35684034 PMCID: PMC9182666 DOI: 10.3390/nu14112235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 11/17/2022] Open
Abstract
‘Living Better’, a self-administered web-based intervention, designed to facilitate lifestyle changes, has already shown positive short- and medium-term health benefits in patients with an obesity−hypertension phenotype. The objectives of this study were: (1) to examine the long-term (3-year) evolution of a group of hypertensive overweight or obese patients who had already followed the ‘Living Better’ program; (2) to analyze the effects of completing this program a second time (reintervention) during the COVID-19 pandemic. A quasi-experimental design was used. We recruited 29 individuals from the 105 who had participated in our first study. We assessed and compared their systolic and diastolic blood pressure (SBP and DBP), body mass index (BMI), eating behavior, and physical activity (PA) level (reported as METs-min/week), at Time 0 (first intervention follow-up), Time 1 (before the reintervention), and Time 2 (post-reintervention). Our results showed significant improvements between Time 1 and Time 2 in SBP (−4.7 (−8.7 to −0.7); p = 0.017), DBP (−3.5 (−6.2 to −0.8); p = 0.009), BMI (−0.7 (−1.0 to −0.4); p < 0.001), emotional eating (−2.8 (−5.1 to −0.5); p = 0.012), external eating (−1.1 (−2.1 to −0.1); p = 0.039), and PA (Time 1: 2308 ± 2266; Time 2: 3203 ± 3314; p = 0.030, Z = −2.17). Statistical analysis showed no significant differences in SPB, DBP, BMI, and eating behavior between Time 0 and Time 1 (p > 0.24). Implementation of the ‘Living Better’ program maintained positive long-term (3-year) health benefits in patients with an obesity−hypertension phenotype. Moreover, a reintervention with this program during the COVID-19 pandemic produced significant improvements in blood pressure, BMI, eating behavior, and PA.
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13
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Feigin VL, Owolabi M, Hankey GJ, Pandian J, Martins SC. Digital Health in Primordial and Primary Stroke Prevention: A Systematic Review. Stroke 2022; 53:1008-1019. [PMID: 35109683 DOI: 10.1161/strokeaha.121.036400] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The stroke burden continues to grow across the globe, disproportionally affecting developing countries. This burden cannot be effectively halted and reversed without effective and widely implemented primordial and primary stroke prevention measures, including those on the individual level. The unprecedented growth of smartphone and other digital technologies with digital solutions are now being used in almost every area of health, offering a unique opportunity to improve primordial and primary stroke prevention on the individual level. However, there are several issues that need to be considered to advance development and use this important digital strategy for primordial and primary stroke prevention. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines we provide a systematic review of the current knowledge, challenges, and opportunities of digital health in primordial and primary stroke prevention.
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Affiliation(s)
- Valery L Feigin
- National Institute for Stroke and Applied Neurosciences, School of Clinical Sciences, Auckland University of Technology, New Zealand (V.L.F.).,Institute for Health Metrics Evaluation, University of Washington, Seattle (V.L.F.).,Research Centre of Neurology, Moscow, Russia (V.L.F.)
| | - Mayowa Owolabi
- Center for Genomic and Precision Medicine, College of Medicine, University of Ibadan, University College Hospital Ibadan and Blossom Specialist Medical Center, Ibadan, Nigeria (M.O.O.)
| | - Graeme J Hankey
- Medical School, Faculty of Health and Medical Sciences, The University of Western Australia. Department of Neurology, Sir Charles Gairdner Hospital, Perth, Australia (G.J.H.)
| | | | - Sheila C Martins
- Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Hospital Moinhos de Vento & Brazilian Stroke Network (S.M.)
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14
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Miller ER, Alzahrani HA, Bregaglio DS, Christensen JK, Palmer SL, Alsharif FH, Matroud AS, Kanaani KA, Sunbul TJ, D’almeida J, Morrissey S, Crockford M, Rajanayagam SN, Sarhan AA, Azmi WH, Miller AR, Vrany EA, Al Natour S, Dalcin AT, Ghamdi MJ, Appel LJ, Appel LJ. Evaluation of a Video-Assisted Patient Education Program to Reduce Blood Pressure Delivered Through the Electronic Medical Record: Results of a Quality Improvement Project. Am J Hypertens 2021; 34:1328-1335. [PMID: 34436555 DOI: 10.1093/ajh/hpab135] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 06/02/2021] [Accepted: 08/25/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Low-cost, automated interventions that increase knowledge and skills around diet and lifestyle modifications are recommended for cardiovascular disease risk reduction. METHODS We initiated a quality improvement program to assess the impact of a web-based diet and lifestyle intervention utilizing short animated videos in adults with high blood pressure (BP) at a primary care clinic in Saudi Arabia. We enrolled adults with elevated BP, not on BP medications, who were identified using the electronic medical record. We delivered a web-linked diet and lifestyle intervention using animated videos covering diet and lifestyle topics. Videos and reminders were sent weekly for 5 weeks. Outcomes were proportion who engaged in the program, returned for a repeat BP within 3 months, and change in BP. RESULTS We enrolled 269 adult participants, with a mean (SD) age of 41.6 (12.4) years; 77% were male. At the conclusion of the pilot, we demonstrated a high level of engagement: overall, 69% of materials were viewed and 67% of patients returned for BP. Patients who returned had a mean (SD) baseline systolic BP of 138.0 (7.2) mm Hg and a large mean reduction in systolic BP from baseline, -10.5 mm Hg (12.4; P < 0.001). CONCLUSIONS Overall, the feasibility of a video-assisted, web-based, diet and lifestyle intervention as a support tool for hypertension management demonstrated a high participation rate and a high return rate for reassessment of BP. These findings suggest that this low-cost, automated intervention may have a great potential as a scalable tool for blood pressure management. However, randomized trials to understanding the effectiveness of the support tools are needed.
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Affiliation(s)
- Edgar R Miller
- Johns Hopkins University School of Medicine, Baltimore Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, Maryland, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Wafa H Azmi
- Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia
| | - Anna R Miller
- Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, Maryland, USA
| | - Elizabeth A Vrany
- Johns Hopkins University School of Medicine, Baltimore Maryland, USA
| | - Shahed Al Natour
- Johns Hopkins University School of Medicine, Baltimore Maryland, USA
| | - Arlene T Dalcin
- Johns Hopkins University School of Medicine, Baltimore Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, Maryland, USA
| | | | - Lawrence J Appel
- Johns Hopkins University School of Medicine, Baltimore Maryland, USA
- Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, Maryland, USA
| | - Lawrence J Appel
- Johns Hopkins University School of Medicine, Baltimore MD, USA.,Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore MD, USA
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15
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Study on the Influence of PDCA Cycle Nursing Based on Network Service on the Quality of Life and Nutritional Status of Hypertension Patients in Home Care. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021; 2021:6068876. [PMID: 34721637 PMCID: PMC8553435 DOI: 10.1155/2021/6068876] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 09/30/2021] [Indexed: 11/17/2022]
Abstract
Objective To explore the influence of PDCA cycle nursing based on network service on the quality of life and nutritional status of hypertension patients in home care. Methods From January 2019 to December 2020, 116 hypertension patients in home care were selected as research objects. According to the random number method, the patients were divided into two groups: the control group (n = 58) and the observation group (n = 58). The control group was given routine home care service, while the observation group was given PDCA cycle nursing based on the network service. The effects of blood pressure control, quality of life, nutritional status, and emotional state of the two groups were analyzed. Results The effective rate of blood pressure control in the observation group (93.10%) was higher than that in the control group (79.31%) (P < 0.05). After intervention, the Generic Quality of Life Inventory-74 scores of the observation group were higher than those of the control group (P < 0.05). After intervention, the malnutrition-inflammation score of the observation group was lower than that of the control group (P < 0.05). After the intervention, the Self-Rating Anxiety Scale score and Self-Rating Depression Scale score of the observation group were lower than those of the control group (P < 0.05). Conclusion PDCA cycle nursing based on network service has a good blood pressure control effect on hypertension patients in home care, which can improve their quality of life and nutritional status and also relieve their bad emotions.
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16
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Bodington R, Kassianides X, Bhandari S. Point-of-care testing technologies for the home in chronic kidney disease: a narrative review. Clin Kidney J 2021; 14:2316-2331. [PMID: 34751234 PMCID: PMC8083235 DOI: 10.1093/ckj/sfab080] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Indexed: 01/09/2023] Open
Abstract
Point-of-care testing (POCT) performed by the patient at home, paired with eHealth technologies, offers a wealth of opportunities to develop individualized, empowering clinical pathways. The non-dialysis-dependent chronic kidney disease (CKD) patient who is at risk of or may already be suffering from a number of the associated complications of CKD represents an ideal patient group for the development of such initiatives. The current coronavirus disease 2019 pandemic and drive towards shielding vulnerable individuals have further highlighted the need for home testing pathways. In this narrative review we outline the evidence supporting remote patient management and the various technologies in use in the POCT setting. We then review the devices currently available for use in the home by patients in five key areas of renal medicine: anaemia, biochemical, blood pressure (BP), anticoagulation and diabetes monitoring. Currently there are few devices and little evidence to support the use of home POCT in CKD. While home testing in BP, anticoagulation and diabetes monitoring is relatively well developed, the fields of anaemia and biochemical POCT are still in their infancy. However, patients' attitudes towards eHealth and home POCT are consistently positive and physicians also find this care highly acceptable. The regulatory and translational challenges involved in the development of new home-based care pathways are significant. Pragmatic and adaptable trials of a hybrid effectiveness-implementation design, as well as continued technological POCT device advancement, are required to deliver these innovative new pathways that our patients desire and deserve.
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Affiliation(s)
- Richard Bodington
- Sheffield Kidney Institute, Northern General Hospital, Sheffield, UK
| | | | - Sunil Bhandari
- Department of Renal Research, Hull Royal Infirmary, Hull, UK
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Cavero-Redondo I, Saz-Lara A, Sequí-Dominguez I, Gómez-Guijarro MD, Ruiz-Grao MC, Martinez-Vizcaino V, Álvarez-Bueno C. Comparative effect of eHealth interventions on hypertension management-related outcomes: A network meta-analysis. Int J Nurs Stud 2021; 124:104085. [PMID: 34601205 DOI: 10.1016/j.ijnurstu.2021.104085] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 08/26/2021] [Accepted: 08/31/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND Increasingly, health professionals and patients have begun to be involved in eHealth interventions to assist in the self-management of hypertension. Therefore, this study was aimed at comparing the effect of different types of eHealth interventions (phone calls, blood pressure telemonitoring, emails, web-site, smartphone-app, short message service (SMS) and more than two eHealth interventions) on reducing systolic and diastolic blood pressure, increasing adherence to medication treatment, improving physical activity compliance, controlling blood pressure, and improving quality of life (QoL). METHODS A systematic search in MEDLINE (via PubMed), EMBASE, Cochrane Central Register of Controlled Trials, and Web of Science databases was conducted to identify experimental studies addressing the effect of eHealth interventions on the self-management of hypertension. Comparative evaluation of the eHealth interventions effect were performed by conducting a standard pairwise meta-analysis and a network meta-analysis for direct and indirect comparisons between eHealth interventions and control/non-intervention. RESULTS Fifty-one studies were included in the analysis showing a moderate effect size for more than two types of eHealth interventions (-0.46; 95%CI: -0.64, -0.27, p < 0.001 and -0.29; 95%CI: -0.46, -0.13, p < 0.001), phone calls (-0.37; 95%CI: -0.57, -0.17, p < 0.001 and -0.29; 95%CI: -0.52, -0.07, p = 0.011) and smartphone-app (-0.26; 95%CI: -0.50, -0.01, p = 0.040 and -0.40; 95%CI: -0.70, -0.10, p = 0.010) on reducing both systolic and diastolic blood pressure, respectively. Additionally, i) smartphone-app improved medication adherence by 45%; ii) more than two types of eHealth interventions and emails improved physical activity compliance by 18% and 57% respectively; ii) more than two types of eHealth interventions, phone calls, blood pressure telemonitoring, website and SMS improved blood pressure control between 16% and 30%; and iv) blood pressure telemonitoring showed a week effect on QoL CONCLUSIONS: Our study reported eHealth to be a suitable intervention for the self-management of hypertension. Considering our results and the population's accessibility to eHealth devices, eHealth could be a useful and largely scalable tool for the self-management of hypertension. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42020187468.
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Affiliation(s)
- Iván Cavero-Redondo
- Health Care and Social Research Centre, Universidad de Castilla-La Mancha, Cuenca, Spain; Rehabilitation in Health Research Center (CIRES), Universidad de las Americas, Santiago, Chile
| | - Alicia Saz-Lara
- Health Care and Social Research Centre, Universidad de Castilla-La Mancha, Cuenca, Spain.
| | - Irene Sequí-Dominguez
- Health Care and Social Research Centre, Universidad de Castilla-La Mancha, Cuenca, Spain
| | | | | | - Vicente Martinez-Vizcaino
- Health Care and Social Research Centre, Universidad de Castilla-La Mancha, Cuenca, Spain; Universidad Autónoma de Chile, Facultad de Ciencias de la Salud, Talca, Chile
| | - Celia Álvarez-Bueno
- Health Care and Social Research Centre, Universidad de Castilla-La Mancha, Cuenca, Spain
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Gijón-Conde T, Rubio E, Gorostidi M, Vinyoles E, Armario P, Rodilla E, Segura J, Divisón-Garrote JA, García-Donaire JA, Molinero A, Ruilope LM. 2021 Spanish Society of Hypertension position statement about telemedicine. HIPERTENSION Y RIESGO VASCULAR 2021; 38:186-196. [PMID: 33888438 PMCID: PMC8054212 DOI: 10.1016/j.hipert.2021.03.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 03/29/2021] [Indexed: 12/01/2022]
Abstract
The pandemic caused by coronavirus SARS-CoV-2 (COVID-19) has forced, in many cases, to replace face-to-face consultation with the telematic consultation, in order to reduce the risk of contagion associated with the presence of patients in health centres. This change may represent an opportunity for a different and more effective communication between professionals and patients, allowing better accessibility to medical care and more systematic and comprehensive approach to patients with hypertension and cardiovascular risk. However, organisational tools are needed to facilitate communication between patients and professionals, specifically with the exchange of clinical data by remote monitoring of variables associated with hypertension and cardiovascular risk (blood pressure, weight, height, blood tests…), and allow monitoring of adherence to treatments, lifestyles and risk factors. It would be desirable for this to be carried out by multidisciplinary teams, both from primary care, hospital and community pharmacy, with an adequate coordination of care. This document of the Spanish Society of Hypertension (SEH-LELHA) tries to give the keys to improve the quality of care of telematic consultations of patients with hypertension and cardiovascular risk, provide basic criteria of telematic or face to face attention and systematise their content. Likewise, the follow-up criteria are proposed by the different professionals.
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Affiliation(s)
- T Gijón-Conde
- Centro de Salud Cerro del Aire, Departamento de Medicina, Universidad Autónoma Madrid/IdiPAZ y CIBERESP, Majadahonda, Madrid, Spain.
| | - E Rubio
- Servicio de Nefrología, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain.
| | - M Gorostidi
- Servicio de Nefrología, Hospital Universitario Central de Asturias, RedinRen, Universidad de Oviedo, Oviedo, Spain
| | - E Vinyoles
- Centre d'Atenció Primària La Mina, Departamento de Medicina, Universidad de Barcelona, Barcelona, Spain
| | - P Armario
- Área Atención Integrada de Riesgo Vascular, Departamento de Medicina Interna, Hospital Moisès Broggi Sant Joan Despi, Universidad de Barcelona, Sant Joan Despí, Barcelona, Spain
| | - E Rodilla
- Servicio de Medicina Interna, Hospital Universitario de Sagunto, Universidad Cardenal Herrera-CEU, Sagunto, Valencia, Spain
| | - J Segura
- Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Madrid, Spain; Unidad de Hipertensión, Servicio de Nefrología, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - J A Divisón-Garrote
- Centro de Salud de Casas Ibáñez, Universidad Católica San Antonio, Casas Ibáñez, Albacete, Spain
| | | | - A Molinero
- Sociedad Española de Farmacia Comunitaria (SEFAC), Spain
| | - L M Ruilope
- Instituto de Investigación i+12, Hospital Universitario 12 de Octubre, Madrid, Spain; Unidad de Hipertensión, Servicio de Nefrología, Hospital Universitario 12 de Octubre, Madrid, Spain; Escuela de Estudios de Doctorado e Investigación, Universidad Europea de Madrid, Villaviciosa de Odón, Madrid, Spain
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Perdew M, Liu S, Naylor PJ. Family-based nutrition interventions for obesity prevention among school-aged children: a systematic review. Transl Behav Med 2021; 11:709-723. [PMID: 32893869 DOI: 10.1093/tbm/ibaa082] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Effective evidence-informed family-based nutrition interventions for childhood obesity management are needed. (a) To assess the number and quality of published randomized controlled trials incorporating family-based nutrition interventions for childhood obesity (ages 5-18 years) management and (b) to identify intervention attributes (e.g., contact time, nutrition curricula, and behavior change strategies) used in successful interventions. Studies that met eligibility criteria were randomized controlled trials and family-based childhood obesity management interventions for children and adolescents ages 5-18 years old that included a healthy eating component and measured child dietary behaviors and/or parent dietary feeding practices. Six databases were searched: CINAHL complete, Cochrane Central Register of Controlled Trials, Health Source: Nursing/Academic Edition, MEDLINE with full text (PubMed), PsycINFO, SPORTDiscus, and ERIC (EBSCO Host). The validated Quality Assessment Tool for Quantitative Studies was used to assess study quality. Eight studies met eligibility criteria. Study quality analysis showed that blinding of the research teams (e.g., analysts, and those focused on data collection) and the use of age appropriate, valid, and reliable instruments were areas of concern. Successful nutrition interventions targeting children 5-18 years old, appear to include setting family-based goals, modifying home food environment, hands-on approaches to teaching nutrition (games, group-based activities), and fruit and vegetable vouchers. This review highlighted a limited amount of moderate to high quality evidence to suggest that family-based nutrition interventions can be successful in improving dietary behaviors and that interventions with positive outcomes had some components of nutrition curricula and strategies in common.
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Affiliation(s)
- Megan Perdew
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Sam Liu
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Patti-Jean Naylor
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
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20
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Hasriani, Sjattar EL, Arafat R. Transtheoretical model on the self-care behavior of hypertension patients: a systematic review. JOURNAL OF HEALTH RESEARCH 2021. [DOI: 10.1108/jhr-01-2021-0053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Purpose
This review aims to describe the effectiveness of education with the transtheoretical model (TTM)-based on the self-care behavior of hypertension patients.
Design/methodology/approach
A systematic literature search was carried out on four databases: PubMed, Science Direct, Cochrane and Grey literature to identify studies reported in English which were published in the last ten years. The literature search was conducted from November 13 to December 10, 2020.
Findings
Based on the six studies that have been analyzed, TTM is effective in changing the stage of change and behavior of hypertension patients. These behavioral changes have an impact on the patient's controlled blood pressure. Various types of TTM-based educational interventions can be used, but the tailored behavior intervention is the most appropriate one with a minimum intervention duration of six months. Educational intervention is carried out through combine counseling and education using electronic media.
Originality/value
This review presents the effectiveness of transtheoretical-based health education in changing the self-care behavior of hypertension patients accompanied by evidence-based on its implementation. There is a high and unclear risk of bias on several items influence this systematic outcome. Nevertheless, this review can still provide an overview of the effectiveness of education based on the TTM in hypertension patients about the quality results of the reviewed studies.
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Treciokiene I, Postma M, Nguyen T, Fens T, Petkevicius J, Kubilius R, Gulbinovic J, Taxis K. Healthcare professional-led interventions on lifestyle modifications for hypertensive patients - a systematic review and meta-analysis. BMC FAMILY PRACTICE 2021; 22:63. [PMID: 33820547 PMCID: PMC8022420 DOI: 10.1186/s12875-021-01421-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Accepted: 03/23/2021] [Indexed: 12/02/2022]
Abstract
BACKGROUND About 0.9 billion people in the world have hypertension. The mortality due to hypertension increased dramatically over the last decades. Healthcare professionals should support patients with hypertension to modify their lifestyle to decrease blood pressure, but an overview of effective lifestyle interventions is lacking. The aim of this study was to determine whether healthcare professional-led interventions on lifestyle modifications are effective in lowering blood pressure in patients with hypertension. METHODS A systematic literature review following the PRISMA guidelines was conducted. PubMed, EMBASE and CINAHL databases were searched for randomized control trials (RCTs) of interventions on lifestyle modifications of hypertensive patients which were performed by healthcare professionals (physician, nurse, pharmacist) and which reported blood pressure measurements. Papers were reviewed by two reviewers and analysed using Cochrane software Revman 5.4. In a meta-analysis difference in systolic blood pressure (SBP), diastolic blood pressure (DBP) and the percentage of patients with controlled blood pressure (BP) was analysed. RESULTS In total, 34 clinical trials reporting on 22,419 patients (mean age 58.4 years, 49.14% female, 69.9% used antihypertensive medications) were included. The mean difference SBP was - 4.41 mmHg (95% CI, - 5.52to - 3.30) and the mean difference DBP was - 1.66 mmHg (95% CI - 2.44 to - 0.88) in favor of the intervention group vs usual care. Fifty-six percent of patients achieved BP control in the intervention group vs 44% in usual care, OR = 1.87 (95% CI, 1.51 to 2.31). CONCLUSION Healthcare professional-led interventions were effective. Patients achieved almost 5 mmHg decrease of SBP and more patients achieved BP control. The results suggest that efforts are needed for widespread implementation.
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Affiliation(s)
- Indre Treciokiene
- Unit of PharmacoTherapy, -Epidemiology & -Economics, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, Netherlands.
- Pharmacy Center, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
| | - Maarten Postma
- Unit of PharmacoTherapy, -Epidemiology & -Economics, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, Netherlands
- Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Department of Economics, Econometrics & Finance, Faculty of Economics & Business, University of Groningen, Groningen, Netherlands
| | - Thang Nguyen
- Pharmacology & Clinical Pharmacy Department, Can Tho University of Medicine and Pharmacy, Can Tho City, Vietnam
| | - Tanja Fens
- Unit of PharmacoTherapy, -Epidemiology & -Economics, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, Netherlands
| | | | | | - Jolanta Gulbinovic
- Pharmacy Center, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Katja Taxis
- Unit of PharmacoTherapy, -Epidemiology & -Economics, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, Groningen, Netherlands
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22
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Tekkeşin Aİ, Hayıroğlu Mİ, Çinier G, Özdemir YS, İnan D, Yüksel G, Pay L, Parsova KE, Vatanoğlu EG, Şeker M, Durak F, Gürkan K. Lifestyle intervention using mobile technology and smart devices in patients with high cardiovascular risk: A pragmatic randomised clinical trial. Atherosclerosis 2021; 319:21-27. [PMID: 33465658 DOI: 10.1016/j.atherosclerosis.2020.12.020] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 11/19/2020] [Accepted: 12/18/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND AND AIMS Mobile technology-based solutions present promising effects against cardiovascular diseases. Long-term follow-up in mobile phone-based interventions has not yet been elucidated as a primary prevention technique for cardiovascular diseases. The objective of the present trial is to evaluate the effectiveness of lifestyle intervention on the change in the atherosclerotic cardiovascular disease (ASCVD) risk score in a 1-year follow-up using smart phone technology in patients with high cardiovascular risk. METHODS This prospective, randomised, single-centre clinical investigation enrolled 242 and 241 patients to the intervention plus usual care and usual care arms, respectively. The primary outcome of this study was the 1-year ASCVD risk score adjusted to baseline ASCVD risk score. ASCVD risk scores were calculated for every study participant at the randomisation and final stages. RESULTS After a 1-year follow-up, the intervention plus usual care reduced the ASCVD score by 2.7% (adjusted treatment effect -2.7, 95% confidence interval (CI): -2.2,-3.3, p<0.0001). An improvement was observed in favour of the intervention plus usual care arm in the majority of the pre-specified secondary endpoints. The high sensitive troponin and high sensitive C-reactive protein levels at 1 year were similar between the two arms. The treatment effect was homogenous for diabetes mellitus, gender, systolic blood pressure, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides and body mass index; however, heterogeneity in the treatment effect was observed for age. CONCLUSIONS The lifestyle intervention using smart phone technology compared to usual care alone in patients with high cardiovascular risk reduced the ASCVD score at 1-year follow-up.
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Affiliation(s)
- Ahmet İlker Tekkeşin
- Department of Cardiology, Dr.Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey.
| | - Mert İlker Hayıroğlu
- Department of Cardiology, Dr.Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey
| | - Göksel Çinier
- Department of Cardiology, Dr.Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey
| | - Yelda Soluk Özdemir
- Department of Physical Medication and Rehabilitation, Istanbul Physical Medication and Rehabilitation Training and Research Hospital, Istanbul, Turkey
| | - Duygu İnan
- Department of Cardiology, Dr.Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey
| | - Gizem Yüksel
- Department of Cardiology, Dr.Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey
| | - Levent Pay
- Department of Cardiology, Dr.Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey
| | - Kemal Emrecan Parsova
- Department of Cardiology, Dr.Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey
| | - Elif Gökçen Vatanoğlu
- Department of Cardiology, Dr.Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey
| | - Mehmet Şeker
- Department of Cardiology, Sultan II. Abdülhamid Han Training and Research Hospital, Istanbul, Turkey
| | - Furkan Durak
- Department of Cardiology, Dr.Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey
| | - Kadir Gürkan
- Department of Cardiology, Dr.Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey
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23
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Yatabe J, Yatabe MS, Ichihara A. The current state and future of internet technology-based hypertension management in Japan. Hypertens Res 2020; 44:276-285. [PMID: 33361825 PMCID: PMC7756130 DOI: 10.1038/s41440-020-00591-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 09/04/2020] [Accepted: 09/05/2020] [Indexed: 12/23/2022]
Abstract
Internet-based information and communication technology is altering our lives. Although medicine is traditionally conservative, it can benefit in many ways from adopting new technology and styles of care. Hypertension is a prime condition for the practical application of digital health management because it is prevalent and undercontrolled, and its primary index, home blood pressure, can be effectively telemonitored. Compared to other conditions that require laboratory measures or the use of drugs with frequent side effects, hypertension can be managed without actual office visits with sufficiently low risk. In this review of hypertension in Japan, we discuss the current and somewhat fragmented state of internet technology and the components and processes necessary for smooth, integrated, and multidisciplinary care in the future. Although further clinical trials are required to show the safety and efficacy of information and communication technology-based care for hypertension, the deployment of telemonitoring and telemedicine in daily practice should be expedited to solve the hypertension paradox. Challenges remain relating to cost, data integration, the redesigning of team-based care, and the improvement of user experience, but information and communication technology-based hypertension management is sure to become pivotal in improving public health.
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Affiliation(s)
- Junichi Yatabe
- General Incorporated Association TelemedEASE, Tokyo, Japan.
| | - Midori Sasaki Yatabe
- General Incorporated Association TelemedEASE, Tokyo, Japan.,Department of Endocrinology and Hypertension, Tokyo Women's Medical University, Tokyo, Japan
| | - Atsuhiro Ichihara
- Department of Endocrinology and Hypertension, Tokyo Women's Medical University, Tokyo, Japan
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24
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Ye R, Shi R, Liu K, Zhang X, Wang S, Liao H, Li X, Gou Q, Rong X, Zhang Z, Yang C, Yang X, Chen X. Internet-based patient- primary care physician-cardiologist integrated management model of hypertension in China: study protocol for a multicentre randomised controlled trial. BMJ Open 2020; 10:e039447. [PMID: 33067295 PMCID: PMC7569994 DOI: 10.1136/bmjopen-2020-039447] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION The control rate of hypertension is low in China, especially in rural, western and minority areas. This is related to poor medical skills among physicians in primary care institutions and low levels of trust among patients. However, primary healthcare institutions are the main battleground for the prevention and treatment of hypertension. It is worth exploring how to most effectively integrate patients, primary care physicians and cardiologists in tertiary hospitals, to build a long-term mechanism for the prevention and treatment of hypertension. In this study, we aim to evaluate the clinical effectiveness and conduct a health economic evaluation of an internet-based patient-primary care physician-cardiologist integrated management model of hypertension in areas of China with different socioeconomic levels. METHODS AND ANALYSIS This is a 12-month, multicentre, randomised controlled trial involving patients with hypertension in urban communities and rural areas of Sichuan Province, China. Each primary healthcare institution will cooperate with their tertiary hospital through the Red Shine Chronic Disease Management System (RSCDMS). Patients will be randomly assigned 1:1 to two groups: (1) a traditional care group; (2) an intervention group in which primary care physicians and cardiologists can share patient data and manage patients together through the RSCDMS. Patients can upload their blood pressure (BP) values and communicate with physicians using the system. The primary outcome is the change in systolic BP over a 12-month period. Secondary outcomes are changes in diastolic BP, BP control rate, values of 24-hour ambulatory BP monitoring, difference in cost-effectiveness between the groups, patient satisfaction, medication adherence and home BP monitoring compliance. All data will be recorded and stored in the RSCDMS and analysed using IBM SPSS V.26.0. ETHICS AND DISSEMINATION This study has been approved by the Biomedical Research Ethics Committee of the West China Hospital of Sichuan University in Sichuan, China (No. 2020-148). Written informed consent will be obtained from all participants. The results of this study will be disseminated to the public through academic conferences and peer-reviewed journals. TRIAL REGISTRATION NUMBER ChiCTR2000030677.
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Affiliation(s)
- Runyu Ye
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Rufeng Shi
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Kai Liu
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Xin Zhang
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Si Wang
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Hang Liao
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Xinran Li
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Qiling Gou
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Xi Rong
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Zhipeng Zhang
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Changqiang Yang
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Xiangyu Yang
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
| | - Xiaoping Chen
- Cardiology, West China Hospital of Sichuan University, Chengdu, Sichaun, China
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25
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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
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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
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26
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Omboni S, McManus RJ, Bosworth HB, Chappell LC, Green BB, Kario K, Logan AG, Magid DJ, Mckinstry B, Margolis KL, Parati G, Wakefield BJ. Evidence and Recommendations on the Use of Telemedicine for the Management of Arterial Hypertension: An International Expert Position Paper. Hypertension 2020; 76:1368-1383. [PMID: 32921195 DOI: 10.1161/hypertensionaha.120.15873] [Citation(s) in RCA: 149] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Telemedicine allows the remote exchange of medical data between patients and healthcare professionals. It is used to increase patients' access to care and provide effective healthcare services at a distance. During the recent coronavirus disease 2019 (COVID-19) pandemic, telemedicine has thrived and emerged worldwide as an indispensable resource to improve the management of isolated patients due to lockdown or shielding, including those with hypertension. The best proposed healthcare model for telemedicine in hypertension management should include remote monitoring and transmission of vital signs (notably blood pressure) and medication adherence plus education on lifestyle and risk factors, with video consultation as an option. The use of mixed automated feedback services with supervision of a multidisciplinary clinical team (physician, nurse, or pharmacist) is the ideal approach. The indications include screening for suspected hypertension, management of older adults, medically underserved people, high-risk hypertensive patients, patients with multiple diseases, and those isolated due to pandemics or national emergencies.
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Affiliation(s)
- Stefano Omboni
- From the Clinical Research Unit, Italian Institute of Telemedicine, Varese (S.O.).,Scientific Research Department of Cardiology, Science and Technology Park for Biomedicine, Sechenov First Moscow State Medical University, Russian Federation (S.O.)
| | - Richard J McManus
- Nuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom (R.J.M.)
| | - Hayden B Bosworth
- Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, NC (H.B.B.).,Department of Psychiatry and Behavioral Sciences (H.B.B.), Duke University, Durham, NC.,Division of General Internal Medicine (H.B.B.), Duke University, Durham, NC.,Department of Population Health Sciences (H.B.B.), Duke University, Durham, NC
| | - Lucy C Chappell
- Women's Health Academic Centre, King's College London, United Kingdom (L.C.C.)
| | - Beverly B Green
- Kaiser Permanente Washington Health Research Institute, Seattle (B.B.G.)
| | - Kazuomi Kario
- Department of Cardiology, Jichi Medical University School of Medicine, Tochigi, Japan (K.K.)
| | - Alexander G Logan
- Department of Medicine, Mount Sinai Hospital, University Health Network and University of Toronto, ON, Canada (A.G.L.)
| | - David J Magid
- Colorado Permanente Medical Group, Denver and School of Public Health, University of Colorado, Aurora (D.J.M.)
| | - Brian Mckinstry
- Emeritus Professor of Primary Care eHealth, Usher Institute, The University of Edinburgh, United Kingdom (B.M.)
| | | | - Gianfranco Parati
- Department of Medicine and Surgery, University of Milano-Bicocca, Italy (G.P.).,Istituto Auxologico Italiano, IRCCS San Luca, Milano, Italy (G.P.)
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27
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Liu S, Weismiller J, Strange K, Forster-Coull L, Bradbury J, Warshawski T, Naylor PJ. Evaluation of the scale-up and implementation of mind, exercise, nutrition … do it! (MEND) in British Columbia: a hybrid trial type 3 evaluation. BMC Pediatr 2020; 20:392. [PMID: 32819325 PMCID: PMC7439674 DOI: 10.1186/s12887-020-02297-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 08/13/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The Mind, Exercise, Nutrition … Do it! (MEND) childhood obesity intervention was implemented in British Columbia (B.C.), Canada from April 2013 to June 2017. The study objective was: a) to describe and explore program reach, attendance, satisfaction, acceptability, fidelity, and facilitators and challenges during scale-up and implementation of MEND in B.C. while b) monitoring program effectiveness in improving children's body mass index (BMI) z-score, waist circumference, dietary and physical activity behaviours, and psychological well-being. METHODS This prospective, pragmatic implementation evaluation (Hybrid Type 3 design) recruited families with children and adolescents aged 7-13 with a BMI ≥ 85th percentile for age and sex. The 10-week MEND B.C. program was delivered in 27 sites, throughout all five B.C. health regions (Northern, Interior, Island, Fraser, and Vancouver Coastal) over 4 years. Families attended two weekly in-person group sessions aimed to increase physical activity and promote healthy eating. BMI z-score and waist circumference were measured at baseline and follow-up. Dietary and physical activity behaviours and psychological well-being were measured using validated questionnaires. A mixed-method approach was used to collect and analyze the data. RESULTS One hundred thirty-six MEND B.C. programs were delivered over 4 years. The program reached 987 eligible participants. 755 (76.5%) children and adolescents completed the program. The average program attendance was 81.5%. Parents reported the program content was easy to understand, culturally suitable, respectful of family's financial situation, and provided adequate information to build a healthy lifestyle. Children achieved significant positive changes across all four evaluation years in BMI z-score (d = - 0.13), nutrition behaviours (d = 0.64), physical activity levels (d = 0.30), hours of screen time per week (d = - 0.38) and emotional distress (d = - 0.21). Challenges to continued program implementation included: recruitment, resource requirement for implementation, and the need to tailor the program locally to be more flexible and culturally relevant. CONCLUSIONS The program reached a broad demographic of children and adolescents in B.C. Families were highly satisfied with the program delivery. MEND. B.C. at scale was effective across all four evaluation years in improving BMI z-score, lifestyle behaviours and psychological well-being among children. Future interventions need to explore strategies to enhance program delivery flexibility.
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Affiliation(s)
- Sam Liu
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
| | | | - Karen Strange
- Childhood Obesity Foundation, Vancouver, British Columbia, Canada
| | | | | | - Tom Warshawski
- Childhood Obesity Foundation, Vancouver, British Columbia, Canada
| | - Patti-Jean Naylor
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada.
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28
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Liu K, Xie Z, Or CK. Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR Mhealth Uhealth 2020; 8:e15779. [PMID: 32459654 PMCID: PMC7435643 DOI: 10.2196/15779] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 03/21/2020] [Accepted: 05/04/2020] [Indexed: 01/20/2023] Open
Abstract
Background Mobile app-assisted self-care interventions are emerging promising tools to support self-care of patients with chronic diseases such as type 2 diabetes and hypertension. The effectiveness of such interventions requires further exploration for more supporting evidence. Objective A systematic review and meta-analysis of randomized controlled trials (RCTs) were conducted to examine the effectiveness of mobile app-assisted self-care interventions developed for type 2 diabetes and/or hypertension in improving patient outcomes. Methods We followed the Cochrane Collaboration guidelines and searched MEDLINE, Cochrane Library, EMBASE, and CINAHL Plus for relevant studies published between January 2007 and January 2019. Primary outcomes included changes in hemoglobin A1c (HbA1c) levels, systolic blood pressure (SBP), and diastolic blood pressure (DBP). Changes in other clinical-, behavioral-, knowledge-, and psychosocial-related outcomes were included as secondary outcomes. Primary outcomes and objective secondary outcomes that were reported in at least two trials were meta-analyzed; otherwise, a narrative synthesis was used for data analysis. Results A total of 27 trials were identified and analyzed. For primary outcomes, the use of mobile app-assisted self-care interventions was associated with significant reductions in HbA1c levels (standardized mean difference [SMD] −0.44, 95% CI −0.59 to −0.29; P<.001), SBP (SMD −0.17, 95% CI −0.31 to −0.03, P=.02), and DBP (SMD −0.17, 95% CI −0.30 to −0.03, P=.02). Subgroup analyses for primary outcomes showed that several intervention features were supportive of self-management, including blood glucose, blood pressure, and medication monitoring, communication with health care providers, automated feedback, personalized goal setting, reminders, education materials, and data visualization. In addition, 8 objective secondary outcomes were meta-analyzed, which showed that the interventions had significant lowering effects on fasting blood glucose levels and waist circumference. A total of 42 secondary outcomes were narratively synthesized, and mixed results were found. Conclusions Mobile app-assisted self-care interventions can be effective tools for managing blood glucose and blood pressure, likely because their use facilitates remote management of health issues and data, provision of personalized self-care recommendations, patient–care provider communication, and decision making. More studies are required to further determine which combinations of intervention features are most effective in improving the control of the diseases. Moreover, evidence regarding the effects of these interventions on the behavioral, knowledge, and psychosocial outcomes of patients is still scarce, which warrants further examination.
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Affiliation(s)
- Kaifeng Liu
- Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong, Hong Kong
| | - Zhenzhen Xie
- Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong, Hong Kong
| | - Calvin Kalun Or
- Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong, Hong Kong
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29
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Han H, Guo W, Lu Y, Wang M. Effect of mobile applications on blood pressure control and their development in China: a systematic review and meta-analysis. Public Health 2020; 185:356-363. [PMID: 32738577 DOI: 10.1016/j.puhe.2020.05.024] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 05/12/2020] [Accepted: 05/18/2020] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Mobile applications (apps) facilitate aspects of people's lives and are useful auxiliary tools for controlling risk factors for chronic diseases. This meta-analysis and systematic review aimed to explore the effect of app-assisted interventions on blood pressure (BP) control in Chinese adults and summarize the common functions of these apps. STUDY DESIGN This is a systematic review and meta-analysis. METHODS The search was conducted in four databases (PubMed, Embase, China National Knowledge Infrastructure database, and China Biology Medicine database). The identified articles were reviewed independently by two researchers. A random-effects model was used to compute the effect size. Studies were assessed for risk of bias and the transparency and quality of the apps. RESULTS Eighteen studies (n = 2965) were included in the final analysis. App-based interventions achieved additional decreases in BP levels (systolic BP [SBP]: -8.12 mmHg, 95% confidence interval [CI]: -11.47 to -4.77 mmHg, P < 0.001; diastolic BP [DBP]: -6.67 mmHg, 95% CI: -8.92 to -4.41 mmHg, P < 0.001). However, the results showed considerable heterogeneity (SBP: I2 = 97%, P < 0.001; DBP: I2 = 96%, P < 0.001). Four studies reported the BP control rate. The pooled results demonstrated a better control rate achieved via app-based interventions (risk ratio: 1.33; 95% CI: 1.18 to 1.49, P < 0.001) without heterogeneity (I2 = 0%). The transparency and replicability assessment revealed unsatisfying results, and only three studies reported more than half of the 16 items in the mHealth checklist. Few studies described the replicability, data security, and infrastructure of the apps used. We identified 16 app functions, with the top three functions being doctor-patient communication (16/16), health education (15/16), and personalized guidance (12/16). CONCLUSIONS We showed app-based interventions had a positive effect on BP management in Chinese adults. However, there was high heterogeneity among the included studies, which merits further exploration when more standardized research has been conducted. The functions of the apps varied widely, and further development of apps for BP management should abide by appropriate reporting guidelines.
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Affiliation(s)
- Heze Han
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Wei Guo
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yifan Lu
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Miao Wang
- Department of Epidemiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, China; The Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
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Passos JA, Vasconcellos-Silva PR, Santos LADS. Ciclos de atenção a dietas da moda e tendências de busca na internet pelo Google trends. CIENCIA & SAUDE COLETIVA 2020; 25:2615-2631. [DOI: 10.1590/1413-81232020257.23892018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Accepted: 10/16/2018] [Indexed: 11/21/2022] Open
Abstract
Resumo Este trabalho objetivou descrever e analisar conteúdos de notícias associadas a ciclos de buscas ao Google ligados a 8 tipos de dieta: a cetogênica; da lua; da proteína; da sopa; detox; dos pontos; paleo; e Dukan. Estas foram selecionadas por terem sido apontadas pelo Google Trends® (GT) como as mais frequentemente associadas ao termo dieta. Os conteúdos dos sites vinculados aos maiores picos de buscas foram apontados pelo Google News®. O volume de buscas às dietas foram estimados pelo GT com filtros de região (Brasil) e temática (Saúde) considerando o período de 01/01/2012 a 01/01/2017. Os acessos retratam ciclos efêmeros com centenas de picos e quedas de interesse pelas 8 dietas da moda. A ênfase se concentra nas orientações para rápida perda de peso em prol de um ideal de saúde tido como proxy de um ideal estético. A dimensão dos riscos associados às dietas mais restritivas é citada frequentemente e validada por informações de especialistas. Destaca-se a exposição e a influência da opinião de celebridades relatando suas experiências dietéticas. Ao contrário do ideal de variedade e equilíbrio, as dietas da moda retratam a pressão pelo autocontrole alimentar como recurso à construção de um corpo idealizado e tipificado por imagens das celebridades.
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E-Health in Hypertension Management: an Insight into the Current and Future Role of Blood Pressure Telemonitoring. Curr Hypertens Rep 2020; 22:42. [PMID: 32506273 DOI: 10.1007/s11906-020-01056-y] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
PURPOSE OF REVIEW Out-of-office blood pressure (BP) monitoring techniques, including home and ambulatory BP monitoring, are currently recommended by hypertension guidelines worldwide to confirm the diagnosis of hypertension and to monitor the appropriateness of treatment. However, such techniques are not always effectively implemented or timely available in the routine clinical practice. In recent years, the widespread availability of e-health solutions has stimulated the development of blood pressure telemonitoring (BPT) systems, which allow remote BP tracking and tighter and more efficient monitoring of patients' health status. RECENT FINDINGS There is currently strong evidence that BPT may be of benefit for hypertension screening and diagnosis and for improving hypertension management. The advantage is more significant when BPT is coupled with multimodal interventions involving a physician, a nurse or pharmacist, and including education on lifestyle and risk factors and drug management. Several randomized controlled studies documented enhanced hypertension management and improved BP control of hypertensive patients through BPT. Potential additional effects of BPT are represented by improved compliance to treatment, intensification, and optimization of drug use, improved quality of life, reduction in risk of developing cardiovascular complications, and cost-saving. Applications based on m-health and making use of wearables or smartwatches integrated with machine learning models are particularly promising for the future development of efficient BPT solutions, and they will provide remarkable support decision tools for doctors. BPT and telehealth will soon disrupt hypertension management. However, which approach will be the most effective and whether it will be sustainable in the long-term still need to be elucidated.
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Stogios N, Kaur B, Huszti E, Vasanthan J, Nolan RP. Advancing Digital Health Interventions as a Clinically Applied Science for Blood Pressure Reduction: A Systematic Review and Meta-analysis. Can J Cardiol 2020; 36:764-774. [DOI: 10.1016/j.cjca.2019.11.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 10/24/2019] [Accepted: 11/10/2019] [Indexed: 01/29/2023] Open
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Lisón JF, Palomar G, Mensorio MS, Baños RM, Cebolla-Martí A, Botella C, Benavent-Caballer V, Rodilla E. Impact of a Web-Based Exercise and Nutritional Education Intervention in Patients Who Are Obese With Hypertension: Randomized Wait-List Controlled Trial. J Med Internet Res 2020; 22:e14196. [PMID: 32286232 PMCID: PMC7189251 DOI: 10.2196/14196] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Revised: 10/31/2019] [Accepted: 02/09/2020] [Indexed: 12/24/2022] Open
Abstract
Background Internet-based interventions are a promising strategy for promoting healthy lifestyle behaviors. These have a tremendous potential for delivering electronic health interventions in scalable and cost-effective ways. There is strong evidence that the use of these programs can lead to weight loss and can lower patients’ average blood pressure (BP) levels. So far, few studies have investigated the effects of internet-based programs on patients who are obese with hypertension (HTN). Objective The aim of this study is to investigate the short- and long-term efficacy, in terms of body composition and BP parameters, of a self-administered internet-based intervention involving different modules and learning techniques aimed at promoting lifestyle changes (both physical activity and healthy eating) in patients who are obese with HTN. Methods A randomized wait-list controlled trial design was used. We recruited 105 adults with HTN who were overweight or obese and randomly assigned them to either a 3-month internet-based intervention group (n=55) or the wait-list control group (n=50). We assessed BMI (primary outcome), body fat mass (BFM), systolic (S)BP and diastolic (D)BP, blood glucose and insulin levels, physical activity levels, and functional capacity for aerobic exercise at Time 0 (preintervention) and Time 1 (postintervention). All the patients in the wait-list control group subsequently received the intervention, and a secondary within-group analysis, which also included these participants, was conducted at Time 2 (12-month follow-up). Results A 2-way mixed analysis of covariance showed a significant decrease in BMI, BFM, and blood glucose at 3 months in the internet-based intervention group; the effect size for the BMI and BFM parameters was moderate to large, and there was also a borderline significant trend for DBP and insulin. These results were either maintained or improved upon at Time 2 and showed significant changes for BMI (mean difference −0.4, 95% CI −0.1 to −0.6; P=.005), BFM (mean difference −2.4, 95% CI −1.1 to −3.6; P<.001), DBP (mean difference −1.8, 95% CI −0.2 to −3.3; P=.03), and blood glucose (mean difference −2, 95% CI 0 to −4; P=.04). Conclusions Implementation of our self-administered internet-based intervention, which involved different learning techniques aimed to promote lifestyle changes, resulted in positive short- and long-term health benefits in patients who are obese with HTN. Trial Registration ClinicalTrials.gov NCT03396302; https://clinicaltrials.gov/ct2/show/NCT03396302
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Affiliation(s)
- Juan Francisco Lisón
- Department of Medicine, Universidad Cardenal Herrera CEU, CEU Universities, Valencia, Spain.,Centro de Investigación Biomédica en Red Fisiopatología Obesidad y Nutrición, Instituto Carlos III, Madrid, Spain
| | | | - Marinna S Mensorio
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Foundation, Brasilia, Brazil.,Department of Personality, Assessment and Psychological Treatment, Facultad de Psicología, Universitat de València, Valencia, Spain
| | - Rosa M Baños
- Centro de Investigación Biomédica en Red Fisiopatología Obesidad y Nutrición, Instituto Carlos III, Madrid, Spain.,Department of Personality, Assessment and Psychological Treatment, Facultad de Psicología, Universitat de València, Valencia, Spain
| | - Ausiàs Cebolla-Martí
- Centro de Investigación Biomédica en Red Fisiopatología Obesidad y Nutrición, Instituto Carlos III, Madrid, Spain.,Department of Personality, Assessment and Psychological Treatment, Facultad de Psicología, Universitat de València, Valencia, Spain
| | - Cristina Botella
- Centro de Investigación Biomédica en Red Fisiopatología Obesidad y Nutrición, Instituto Carlos III, Madrid, Spain.,Universitat Jaume I, Castellón, Spain
| | - Vicent Benavent-Caballer
- Department of Physiotherapy, Universidad Cardenal Herrera CEU, CEU Universities, Valencia, Spain
| | - Enrique Rodilla
- Department of Medicine, Universidad Cardenal Herrera CEU, CEU Universities, Valencia, Spain.,Hypertension and Vascular Risk Unit, Hospital de Sagunto, Sagunto, Spain
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González-Ruiz DP, Getial-Mora DA, Higidio-Miranda MA, Hernández-Zambrano SM. Efectividad de las tecnologías de la información y comunicación en la adherencia terapéutica de pacientes con Hipertensión Arterial y Diabetes Mellitus. ENFERMERÍA NEFROLÓGICA 2020. [DOI: 10.37551/s2254-28842020003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
2222 Enferm Nefrol. 2020 Ene-Mar;23(1):22-32ResumenIntroducción: La hipertensión arterial y la diabetes me-llitus son dos de las principales causas de morbimortali-dad, siendo las precursoras de la enfermedad renal cróni-ca, catalogándose como un problema de salud pública que afecta a uno de cada diez adultos en el mundo. La falta de cumplimiento al tratamiento es la mayor causa de fra-caso en los programas de promoción y prevención, con esta revisión sistemática se busca aportar a los profesio-nales de enfermería evidencia científica a través del uso de las tecnologías de la información y la comunicación que permitan mejorar la adherencia terapéutica.Objetivo: Identificar la efectividad de las tecnologías de la información y la comunicación en la adherencia tera-péutica en personas con Hipertensión Arterial y Diabetes Mellitus. Material y Método. Se realizó una revisión sistemática de literatura en las bases de datos CUIDEN, CINAHL, COCHRANE, LILACS, PUBMED y OVID NURSING. Después de aplicar filtros de selección y listas de verifica-cion de calidad metodológica se obtuvieron 18 artículos para análisis, 12 ensayos clínicos aleatorizados, 3 estu-dios cuasi-experimentales y 3 revisiones sistemáticas. Se clasificó el nivel de evidencia de los estudios según el ins-tituto Joanna Briggs. Resultados. Se establecieron 3 categorías: Interven-ciones unicomponente, intervenciones multicomponente y rol de enfermería en el uso de TICs para favorecer la adherencia. Conclusiones. Dentro del cuidado de la salud actualmen-te hay hallazgos iniciales que apoyan la efectividad del uso de las tecnologías de la información y la comunica-ción convirtiéndola en una herramienta que favorece la adherencia al tratamiento en pacientes con hipertensión arterial y diabetes mellitus.
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Contribution of telemedicine and information technology to hypertension control. Hypertens Res 2020; 43:621-628. [PMID: 32203451 DOI: 10.1038/s41440-020-0422-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 01/17/2020] [Accepted: 01/18/2020] [Indexed: 11/08/2022]
Abstract
Due to fast-paced technological advancements, digital health and telemedicine represent a promising and complex reality, with the potential to change the current management of hypertension and improve its outcomes. New types of health-related strategies are available, ranging from telemonitoring of blood pressure (BP) values to counseling for patients and decisional tools for physicians, thanks to the development of new technology. Even though the strength of available evidence is currently low due to the high heterogeneity of studies and of the proposed interventions, available data suggest a beneficial effect of digital health strategies on BP control and, more generally, on cardiovascular risk reduction. In addition, well-designed randomized controlled trials are needed to further investigate the real impact of these new strategies on clinical outcomes. Furthermore, due to consistent commercial interests in this field, there is a strong need for strict regulations to ensure a safe and secure implementation of this new reality in clinical care.
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Timpel P, Oswald S, Schwarz PEH, Harst L. Mapping the Evidence on the Effectiveness of Telemedicine Interventions in Diabetes, Dyslipidemia, and Hypertension: An Umbrella Review of Systematic Reviews and Meta-Analyses. J Med Internet Res 2020; 22:e16791. [PMID: 32186516 PMCID: PMC7113804 DOI: 10.2196/16791] [Citation(s) in RCA: 114] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 11/26/2019] [Accepted: 12/15/2019] [Indexed: 12/22/2022] Open
Abstract
Background Telemedicine is defined by three characteristics: (1) using information and communication technologies, (2) covering a geographical distance, and (3) involving professionals who deliver care directly to a patient or a group of patients. It is said to improve chronic care management and self-management in patients with chronic diseases. However, currently available guidelines for the care of patients with diabetes, hypertension, or dyslipidemia do not include evidence-based guidance on which components of telemedicine are most effective for which patient populations. Objective The primary aim of this study was to identify, synthesize, and critically appraise evidence on the effectiveness of telemedicine solutions and their components on clinical outcomes in patients with diabetes, hypertension, or dyslipidemia. Methods We conducted an umbrella review of high-level evidence, including systematic reviews and meta-analyses of randomized controlled trials. On the basis of predefined eligibility criteria, extensive automated and manual searches of the databases PubMed, EMBASE, and Cochrane Library were conducted. Two authors independently screened the studies, extracted data, and carried out the quality assessments. Extracted data were presented according to intervention components and patient characteristics using defined thresholds of clinical relevance. Overall certainty of outcomes was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool. Results Overall, 3564 references were identified, of which 46 records were included after applying eligibility criteria. The majority of included studies were published after 2015. Significant and clinically relevant reduction rates for glycated hemoglobin (HbA1c; ≤−0.5%) were found in patients with diabetes. Higher reduction rates were found for recently diagnosed patients and those with higher baseline HbA1c (>8%). Telemedicine was not found to have a significant and clinically meaningful impact on blood pressure. Only reviews or meta-analyses reporting lipid outcomes in patients with diabetes were found. GRADE assessment revealed that the overall quality of the evidence was low to very low. Conclusions The results of this umbrella review indicate that telemedicine has the potential to improve clinical outcomes in patients with diabetes. Although subgroup-specific effectiveness rates favoring certain intervention and population characteristics were found, the low GRADE ratings indicate that evidence can be considered as limited. Future updates of clinical care and practice guidelines should carefully assess the methodological quality of studies and the overall certainty of subgroup-specific outcomes before recommending telemedicine interventions for certain patient populations.
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Affiliation(s)
- Patrick Timpel
- Department for Prevention and Care of Diabetes, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Sarah Oswald
- Master Program Health Sciences / Public Health at the Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine at the University Clinic Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Peter E H Schwarz
- Department for Prevention and Care of Diabetes, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,Paul Langerhans Institute Dresden, Helmholtz Center Munich, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.,German Center for Diabetes Research (DZD e V), Neuherberg, Germany
| | - Lorenz Harst
- Research Association Public Health Saxony / Center for Evidence-Based Healthcare, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
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Liu S, Tanaka R, Barr S, Nolan RP. Effects of self-guided e-counseling on health behaviors and blood pressure: Results of a randomized trial. PATIENT EDUCATION AND COUNSELING 2020; 103:635-641. [PMID: 31669047 DOI: 10.1016/j.pec.2019.10.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Revised: 10/04/2019] [Accepted: 10/11/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVE 1) Evaluate the efficacy of e-Counseling vs. Control to promote lifestyle behaviors at 4 and 12-month follow-ups, 2) examine whether these behaviors changes were associated with lower blood pressure (BP), and Framingham Risk Index (FRI) at 12-month. METHODS Hypertensive patients (n = 264) were randomized to the e-Counseling or the Control group. Primary trial outcome was BP and secondary outcomes included exercise and diet behaviors. This study presented the results of secondary outcomes. Linear mixed models evaluated treatment effects at 4 and 12-month. Treatment-by-sex exploratory analyses were conducted if no main treatment effect was observed. RESULTS Daily steps significantly improved in e-Counseling vs. Controls at 12-month. Urinary sodium at 12-month did not significantly differ between the groups, but treatment-by-sex analysis showed that e-Counseling females lowered urinary sodium relative to Controls at 12 months. Improvements in steps and dietary sodium were significantly associated with improvements in BP and FRI at 12-month. CONCLUSION This hypertension e-Counseling protocol can promote long-term lifestyle behavior changes. Adherence to the lifestyle behavior change was associated with BP and FRI reduction at 12-month. PRACTICE IMPLICATIONS The hypertension e-counseling protocol has the potential to improve hypertension care and intervention reach.
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Affiliation(s)
- Sam Liu
- University of Victoria, School of Exercise Science, Physical and Health Education, Victoria, British Columbia, Canada.
| | - Rika Tanaka
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada
| | - Susan Barr
- University of British Columbia, Department of Food, Nutrition & Health, British Columbia, Canada
| | - Robert P Nolan
- Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada; University of Toronto, Faculty of Medicine, Toronto, Ontario, Canada
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Kim DY, Kwon H, Nam KW, Lee Y, Kwon HM, Chung YS. Remote Management of Poststroke Patients With a Smartphone-Based Management System Integrated in Clinical Care: Prospective, Nonrandomized, Interventional Study. J Med Internet Res 2020; 22:e15377. [PMID: 32130140 PMCID: PMC7068458 DOI: 10.2196/15377] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 10/24/2019] [Accepted: 12/15/2019] [Indexed: 12/11/2022] Open
Abstract
Background Advances in mobile health (mHealth) have enabled systematic and continuous management of patients with chronic diseases. Objective We developed a smartphone-based mHealth system and aimed to evaluate its effects on health behavior management and risk factor control in stroke patients. Methods With a multifaceted stroke aftercare management system that included exercise, medication, and educational materials, we performed a 12-week single-arm intervention among eligible poststroke patients in the stroke clinic from September to December 2016. The intervention consisted of (1) regular blood pressure (BP), blood glucose, and physical activity measurements; (2) stroke education; (3) an exercise program; (4) a medication program; and (5) feedback on reviewing of records by clinicians. Clinical assessments consisted of the stroke awareness score, Beck Depression Inventory-II (BDI), EuroQol-5 Dimensions (EQ-5D), and BP at visit 1 (baseline), visit 2 (4 weeks), and visit 3 (12 weeks). Temporal differences in the parameters over 12 weeks were investigated with repeated-measures analysis of variance. Changes in medication adherence at visit 1-2 (from visit 1 to visit 2) and visit 2-3 (from visit 2 to visit 3) were compared. System satisfaction was evaluated with a self-questionnaire using a 5-point Likert scale at visit 3. Results The study was approved by the Institutional Review Board in September 2016, and participants were enrolled from September to December 2016. Among the 110 patients enrolled for the study, 99 were included in our analyses. The mean stroke awareness score (baseline: 59.6 [SD 18.1]; 4 weeks: 67.6 [SD 16.0], P<.001; 12 weeks: 74.7 [SD 14.0], P<.001) and BDI score (baseline: 12.7 [SD 10.1]; 4 weeks: 11.2 [SD 10.2], P=.01; 12 weeks: 10.7 [SD 10.2], P<.001) showed gradual improvement; however, no significant differences were found in the mean EQ-5D score (baseline: 0.66 [SD 0.33]; 4 weeks: 0.69 [SD 0.34], P=.01; 12 weeks: 0.69 [SD 0.34], P<.001). Twenty-six patients who had uncontrolled BP at baseline had −13.92 mmHg (P=.001) and −6.19 mmHg (P<.001) reductions on average in systolic and diastolic BP, respectively, without any antihypertensive medication change. Medication compliance was better at visit 2-3 (60.9% [SD 37.2%]) than at visit 1-2 (47.8% [SD 38.7%], P<.001). Conclusions Awareness of stroke, depression, and BP was enhanced when using the smartphone-based mHealth system. Emerging mHealth techniques have potential as new nonpharmacological secondary prevention methods because of their ubiquitous access, near real-time responsiveness, and comparatively lower cost.
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Affiliation(s)
- Do Yeon Kim
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.,Medical Corps, Republic of Korea Navy, Jeju Island, Republic of Korea
| | - Hee Kwon
- LifeSemantics, Corp, Seoul, Republic of Korea
| | - Ki-Woong Nam
- Department of Neurology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yongseok Lee
- Department of Neurology, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Hyung-Min Kwon
- Department of Neurology, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
| | - Young Seob Chung
- Department of Neurosurgery, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea
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Ionov МV, Zvartau NЕ, Emelyanov IV, Konradi AО. Telemonitoring and remote counseling in hypertensive patients. Looking for new ways to do old jobs. ACTA ACUST UNITED AC 2019. [DOI: 10.18705/1607-419x-2019-25-4-337-356] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
XXI century emphasized humanity to embrace the digital era after a reality of Third and Fourth Industrial Revolutions, nowadays dictating new terms of social networking. It is expected that information and communication technologies integrated with value-based medicine will significantly impact healthcare delivery to tremendous number of patients with socially important noncommunicable diseases. Cardiovascular illnesses comprise the greatest part of such pathologies. Hypertension (HTN) being the most prevalent cardiovascular disease is also the key modifiable cardiovascular risk factor yet seems to be an attractive target for both value-based concept and telehealth interventions. Present review addresses up-to-date science on telehealth, sets out the main well-known, but yet unsolved challenges in management of HTN along with the new approaches involving telemedicine programs, digital health outlooks. The main barriers of telehealth implementation are also considered along with the possible solutions.
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Affiliation(s)
- М. V. Ionov
- Almazov National Medical Research Centre;
ITMO University
| | - N. Е. Zvartau
- Almazov National Medical Research Centre;
ITMO University
| | | | - A. О. Konradi
- Almazov National Medical Research Centre;
ITMO University
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Casey DE, Thomas RJ, Bhalla V, Commodore-Mensah Y, Heidenreich PA, Kolte D, Muntner P, Smith SC, Spertus JA, Windle JR, Wozniak GD, Ziaeian B. 2019 AHA/ACC Clinical Performance and Quality Measures for Adults With High Blood Pressure: A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures. J Am Coll Cardiol 2019; 74:2661-2706. [PMID: 31732293 PMCID: PMC7673043 DOI: 10.1016/j.jacc.2019.10.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Richard E, Moll van Charante EP, Hoevenaar-Blom MP, Coley N, Barbera M, van der Groep A, Meiller Y, Mangialasche F, Beishuizen CB, Jongstra S, van Middelaar T, Van Wanrooij LL, Ngandu T, Guillemont J, Andrieu S, Brayne C, Kivipelto M, Soininen H, Van Gool WA. Healthy ageing through internet counselling in the elderly (HATICE): a multinational, randomised controlled trial. LANCET DIGITAL HEALTH 2019; 1:e424-e434. [PMID: 33323224 DOI: 10.1016/s2589-7500(19)30153-0] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Accepted: 10/01/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND Although web-based interventions have been promoted for cardiovascular risk management over the past decade, there is limited evidence for effectiveness of these interventions in people older than 65 years. The healthy ageing through internet counselling in the elderly (HATICE) trial aimed to determine whether a coach-supported internet intervention for self-management can reduce cardiovascular risk in community-dwelling older people. METHODS This prospective open-label, blinded endpoint clinical trial among people age 65 years or over at increased risk of cardiovascular disease randomly assigned participants in the Netherlands, Finland, and France to an interactive internet intervention stimulating coach-supported self-management or a control platform. Primary outcome was the difference from baseline to 18 months on a standardised composite score (Z score) of systolic blood pressure, LDL cholesterol, and body-mass index (BMI). Secondary outcomes included individual risk factors and cardiovascular endpoints. This trial is registered with the ISRCTN registry, 48151589, and is closed to accrual. FINDINGS Among 2724 participants, complete primary outcome data were available for 2398 (88%). After 18 months, the primary outcome improved in the intervention group versus the control group (0·09 vs 0·04, respectively; mean difference -0·05, 95% CI -0·08 to -0·01; p=0·008). For individual components of the primary outcome, mean differences (intervention vs control) were systolic blood pressure -1·79 mm Hg versus -0·67 mm Hg (-1·12, -2·51 to 0·27); BMI -0·23 kg/m2 versus -0·08 kg/m2 (-0·15, -0·28 to -0·01); and LDL -0·12 mmol/L versus -0·07 mmol/L (-0·05, -0·11 to 0·01). Cardiovascular disease occurred in 30 (2·2%) of 1382 patients in the intervention versus 32 (2·4%) of 1333 patients in the control group (hazard ratio 0·86, 95% CI 0·52 to 1·43). INTERPRETATION Coach-supported self-management of cardiovascular risk factors using an interactive internet intervention is feasible in an older population, and leads to a modest improvement of cardiovascular risk profile. When implemented on a large scale this could potentially reduce the burden of cardiovascular disease. FUNDING European Commission Seventh Framework Programme.
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Affiliation(s)
- Edo Richard
- Department of Neurology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands; Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands.
| | - Eric P Moll van Charante
- Department of Primary Care, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Marieke P Hoevenaar-Blom
- Department of Neurology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Nicola Coley
- INSERM, University of Toulouse UMR1027, Toulouse, France; Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France
| | - Mariagnese Barbera
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland
| | | | - Yannick Meiller
- Department of Information and Operations Management, ESCP Europe, Paris, France
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden; Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Cathrien B Beishuizen
- Department of Neurology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Susan Jongstra
- Department of Neurology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Tessa van Middelaar
- Department of Neurology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Lennard L Van Wanrooij
- Department of Neurology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Tiia Ngandu
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden; Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland
| | | | - Sandrine Andrieu
- INSERM, University of Toulouse UMR1027, Toulouse, France; Department of Epidemiology and Public Health, Toulouse University Hospital, Toulouse, France
| | - Carol Brayne
- Department of Public Health and Primary Care, Cambridge Institute of Public Health, University of Cambridge, UK
| | - Miia Kivipelto
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland; Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland; Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden; Neuroepidemiology and Aging Unit, School of Public Health, Imperial College London, UK
| | - Hilkka Soininen
- Institute of Clinical Medicine, Neurology, University of Eastern Finland, Kuopio, Finland; Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Willem A Van Gool
- Department of Neurology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, Netherlands
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Casey DE, Thomas RJ, Bhalla V, Commodore-Mensah Y, Heidenreich PA, Kolte D, Muntner P, Smith SC, Spertus JA, Windle JR, Wozniak GD, Ziaeian B. 2019 AHA/ACC Clinical Performance and Quality Measures for Adults With High Blood Pressure: A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures. Circ Cardiovasc Qual Outcomes 2019; 12:e000057. [PMID: 31714813 PMCID: PMC7717926 DOI: 10.1161/hcq.0000000000000057] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Liu S, Marques IG, Perdew MA, Strange K, Hartrick T, Weismiller J, Ball GDC, Mâsse LC, Rhodes R, Naylor PJ. Family-based, healthy living intervention for children with overweight and obesity and their families: a 'real world' trial protocol using a randomised wait list control design. BMJ Open 2019; 9:e027183. [PMID: 31676642 PMCID: PMC6830831 DOI: 10.1136/bmjopen-2018-027183] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 09/18/2019] [Accepted: 10/02/2019] [Indexed: 01/19/2023] Open
Abstract
INTRODUCTION Family-based behavioural weight management interventions are efficacious and widely used to address childhood obesity. Curriculum and strategies vary extensively and scale-up often depends on ensuring that the intervention fits the adoption context. AIMS AND OBJECTIVES To evaluate the impact and implementation of a 'made in British Columbia' (BC) family-based early intervention programme (EIP) for 8-12 years old with overweight and obesity and their families. METHODS AND ANALYSIS A randomised waitlist-control trial will assess a 10-week interactive, family-based lifestyle intervention followed by four maintenance sessions, in BC, Canada. We aim to enrol 186 families. The blended intervention includes at least 26 contact hours between participants and programme providers, including interactive activities and educational materials through weekly 90-min group sessions, an online family portal, and self-directed family activities. Curricular content includes information and activities related to healthy eating, physical activity (PA), positive mental health, parenting practices and sleep hygiene. The waitlist control group will receive a modified programme with the same 10-week sessions in the family portal, and four group sessions. Families participate in data collection at baseline, postintervention (week 10) and follow-up (week 18). The primary outcome is to assess changes in child body mass index z-score at 10 weeks between the groups. Secondary outcomes include changes at 10 weeks between the groups in child and parent PA behaviour and skills, healthy eating behaviour, and mental health. Process evaluation will address reach, implementation and maintenance (baseline, 10-week and 18-week) using recruitment tracking forms, parent questionnaire, programme attendance tracking forms, leader feedback surveys, parents and children satisfaction surveys and postprogramme interviews with facilitators, stakeholders and parents. Intention-to-treat analyses will be conducted. Process evaluation will be analysed thematically. ETHICS AND DISSEMINATION Study procedures were designed to address research and community needs and will follow ethical standards. TRIAL REGISTRATION NUMBER NCT03643341.
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Affiliation(s)
- Sam Liu
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
| | - Isabela Gouveia Marques
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
| | - Megan A Perdew
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
| | - Karen Strange
- Childhood Obesity Foundation, Vancouver, British Columbia, Canada
| | - Teresa Hartrick
- Childhood Obesity Foundation, Vancouver, British Columbia, Canada
| | | | - Geoff D C Ball
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
| | - Louise C Mâsse
- Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ryan Rhodes
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
| | - Patti-Jean Naylor
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 138:e426-e483. [PMID: 30354655 DOI: 10.1161/cir.0000000000000597] [Citation(s) in RCA: 360] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Paul K Whelton
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Robert M Carey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Wilbert S Aronow
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Donald E Casey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Karen J Collins
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Cheryl Dennison Himmelfarb
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sondra M DePalma
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Samuel Gidding
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kenneth A Jamerson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Daniel W Jones
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Eric J MacLaughlin
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Paul Muntner
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Bruce Ovbiagele
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sidney C Smith
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Crystal C Spencer
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randall S Stafford
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sandra J Taler
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randal J Thomas
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kim A Williams
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jeff D Williamson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jackson T Wright
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 138:e484-e594. [PMID: 30354654 DOI: 10.1161/cir.0000000000000596] [Citation(s) in RCA: 210] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Paul K Whelton
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Robert M Carey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Wilbert S Aronow
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Donald E Casey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Karen J Collins
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Cheryl Dennison Himmelfarb
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sondra M DePalma
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Samuel Gidding
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kenneth A Jamerson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Daniel W Jones
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Eric J MacLaughlin
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Paul Muntner
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Bruce Ovbiagele
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sidney C Smith
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Crystal C Spencer
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randall S Stafford
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sandra J Taler
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randal J Thomas
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kim A Williams
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jeff D Williamson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jackson T Wright
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
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Lu X, Yang H, Xia X, Lu X, Lin J, Liu F, Gu D. Interactive Mobile Health Intervention and Blood Pressure Management in Adults. Hypertension 2019; 74:697-704. [PMID: 31327259 DOI: 10.1161/hypertensionaha.119.13273] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Despite the availability of effective drugs, blood pressure (BP) control remains poor among most populations. To explore the effects of interactive mobile health (mhealth) intervention on BP management and find out the optimal target population, we performed a systematic review and meta-analysis of randomized controlled trials to estimate the pooled effects of mhealth intervention on BP control. PubMed, EMBASE, Cochrane Library, and CNKI were searched to identify eligible randomized controlled trials published between January 15, 2007 and April 28, 2019, and bibliographies of eligible articles were further reviewed. Random-effect models were utilized to pool estimates of net changes in systolic BP and diastolic BP between mhealth intervention group and control group. Eleven randomized controlled trials met the inclusion criteria, with a total sample size of 4271 participants. Compared with the control group, mhealth intervention was associated with significant changes in systolic BP and diastolic BP of -3.85 mm Hg; 95% CI, -4.74 to -2.96 and -2.19 mm Hg; 95% CI, -3.16 to -1.23, respectively. Subgroup analyses revealed consistent effects across study duration and intervention intensity subgroups. In addition, participants with inadequate BP control at recruitment might gain more benefits with mhealth intervention. Therefore, interactive mhealth intervention may be a useful tool for improving BP control among adults, especially among those with inadequate BP control.
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Affiliation(s)
- Xiaomei Lu
- From the Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (Xiaomei Lu, H.Y., X.X., Xiangfeng Lu, J.L., F.L., .D.G.).,Community Health Service Center Management Office, The 3rd Affiliated Hospital of Shenzhen University, Shenzhen 518 001, China (Xiaomei Lu, J.L.)
| | - Huijun Yang
- From the Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (Xiaomei Lu, H.Y., X.X., Xiangfeng Lu, J.L., F.L., .D.G.)
| | - Xue Xia
- From the Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (Xiaomei Lu, H.Y., X.X., Xiangfeng Lu, J.L., F.L., .D.G.)
| | - Xiangfeng Lu
- From the Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (Xiaomei Lu, H.Y., X.X., Xiangfeng Lu, J.L., F.L., .D.G.)
| | - Jinchun Lin
- From the Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (Xiaomei Lu, H.Y., X.X., Xiangfeng Lu, J.L., F.L., .D.G.).,Community Health Service Center Management Office, The 3rd Affiliated Hospital of Shenzhen University, Shenzhen 518 001, China (Xiaomei Lu, J.L.)
| | - Fangchao Liu
- From the Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (Xiaomei Lu, H.Y., X.X., Xiangfeng Lu, J.L., F.L., .D.G.)
| | - Dongfeng Gu
- From the Key Laboratory of Cardiovascular Epidemiology and Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (Xiaomei Lu, H.Y., X.X., Xiangfeng Lu, J.L., F.L., .D.G.)
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Liu S, Chen B, Kuo A. Monitoring Physical Activity Levels Using Twitter Data: Infodemiology Study. J Med Internet Res 2019; 21:e12394. [PMID: 31162126 PMCID: PMC6682305 DOI: 10.2196/12394] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Revised: 04/12/2019] [Accepted: 04/14/2019] [Indexed: 12/15/2022] Open
Abstract
Background Social media technology such as Twitter allows users to share their thoughts, feelings, and opinions online. The growing body of social media data is becoming a central part of infodemiology research as these data can be combined with other public health datasets (eg, physical activity levels) to provide real-time monitoring of psychological and behavior outcomes that inform health behaviors. Currently, it is unclear whether Twitter data can be used to monitor physical activity levels. Objective The aim of this study was to establish the feasibility of using Twitter data to monitor physical activity levels by assessing whether the frequency and sentiment of physical activity–related tweets were associated with physical activity levels across the United States. Methods Tweets were collected from Twitter’s application programming interface (API) between January 10, 2017 and January 2, 2018. We used Twitter's garden hose method of collecting tweets, which provided a random sample of approximately 1% of all tweets with location metadata falling within the United States. Geotagged tweets were filtered. A list of physical activity–related hashtags was collected and used to further classify these geolocated tweets. Twitter data were merged with physical activity data collected as part of the Behavioral Risk Factor Surveillance System. Multiple linear regression models were fit to assess the relationship between physical activity–related tweets and physical activity levels by county while controlling for population and socioeconomic status measures. Results During the study period, 442,959,789 unique tweets were collected, of which 64,005,336 (14.44%) were geotagged with latitude and longitude coordinates. Aggregated data were obtained for a total of 3138 counties in the United States. The mean county-level percentage of physically active individuals was 74.05% (SD 5.2) and 75.30% (SD 4.96) after adjusting for age. The model showed that the percentage of physical activity–related tweets was significantly associated with physical activity levels (beta=.11; SE 0.2; P<.001) and age-adjusted physical activity (beta=.10; SE 0.20; P<.001) on a county level while adjusting for both Gini index and education level. However, the overall explained variance of the model was low (R2=.11). The sentiment of the physical activity–related tweets was not a significant predictor of physical activity level and age-adjusted physical activity on a county level after including the Gini index and education level in the model (P>.05). Conclusions Social media data may be a valuable tool for public health organizations to monitor physical activity levels, as it can overcome the time lag in the reporting of physical activity epidemiology data faced by traditional research methods (eg, surveys and observational studies). Consequently, this tool may have the potential to help public health organizations better mobilize and target physical activity interventions.
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Affiliation(s)
- Sam Liu
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
| | - Brian Chen
- Department of Health Information Science, University of Victoria, Victoria, BC, Canada
| | - Alex Kuo
- Department of Health Information Science, University of Victoria, Victoria, BC, Canada
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Direito A, Rawstorn J, Mair J, Daryabeygi-Khotbehsara R, Maddison R, Tai ES. Multifactorial e- and mHealth interventions for cardiovascular disease primary prevention: Protocol for a systematic review and meta-analysis of randomised controlled trials. Digit Health 2019; 5:2055207619890480. [PMID: 31803491 PMCID: PMC6876157 DOI: 10.1177/2055207619890480] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 10/27/2019] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Cardiovascular diseases (CVD) are a leading cause of mortality and disease burden. Preventative interventions to augment the population-level adoption of health lifestyle behaviours that reduce CVD risk are a priority. Face-to-face interventions afford individualisation and are effective for improving health-related behaviours and outcomes, but they are costly and resource intensive. Electronic and mobile health (e- and mHealth) approaches aimed at modifying lifestyle risk factors may be an effective and scalable approach to reach many individuals while preserving individualisation. This systematic review aims to (a) determine the effectiveness of multifactorial e- and mHealth interventions on CVD risk and on lifestyle-related cardiometabolic risk factors and self-management behaviours among adults without CVD; and (b) describe the evidence on adverse events and on the cost-effectiveness of these interventions. METHODS Methods were detailed prior to the start of the review in order to improve conduct and prevent inconsistent decision making throughout the review. This protocol was prepared following the PRISMA-P 2015 statement. MEDLINE, CINAHL, Embase, PsycINFO, Web of Science, Cochrane Public Health Group Specialised Register and CENTRAL electronic databases will be searched between 1991 and September 2019. Eligibility criteria are: (a) population: community-dwelling adults; (b) intervention/comparison: randomised controlled trials comparing e- or mHealth CVD risk preventative interventions with usual care; and (c) outcomes: modifiable CVD risk factors. Selection of study reports will involve two authors independently screening titles and abstracts, followed by a full-text review of potentially eligible reports. Two authors will independently undertake data extraction and assess risk of bias. Where appropriate, meta-analysis of outcome data will be performed. DISCUSSION This protocol describes the pre-specified methods for a systematic review that will provide quantitative and narrative syntheses of current multifactorial e- and mHealth CVD preventative interventions. A systematic review and meta-analysis will be conducted following the methods outlined in the Cochrane Handbook for Systematic Reviews of Interventions and reported according to PRISMA guidelines.
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Affiliation(s)
- Artur Direito
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jonathan Rawstorn
- Institute for Physical Activity and Nutrition, Deakin University, Australia
| | | | | | - Ralph Maddison
- Institute for Physical Activity and Nutrition, Deakin University, Australia
| | - E Shyong Tai
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Jamshidnezhad A, Kabootarizadeh L, Hoseini SM. The Effects of Smartphone Applications on Patients Self-care with Hypertension: A Systematic Review Study. Acta Inform Med 2019; 27:263-267. [PMID: 32055094 PMCID: PMC7004291 DOI: 10.5455/aim.2019.27.263-267] [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: 01/09/2023] Open
Abstract
Introduction: High blood pressure or hypertension is one of the chronic diseases causing other serious diseases and syndromes. Active involvement of the patient in the management of the disease is crucial in improving self-care and clinical outcomes. Mobile technology is nowadays used widely to improve the self-care process in people with chronic diseases such as hypertension. Aim: The objective of this study was to provide an overview of the existing research evaluating the impact of mobile applications on the self-care of patients with hypertension. Methods: The Scopus and PubMed databases were investigated using a comprehensive search strategy from the beginning of 2010 to 2019. All controlled clinical trial studies as well as quasi-experimental studies used mobile as a device for improving the self-care and conducted on patients with hypertension were included in the study. The studies were reviewed by two independent individuals. Results: Out of 1032 studies found, 6 studies were finally reviewed after applying the inclusion criteria. Out of 6 studies reviewed, three studies confirmed the effect of using mobile applications on lowering blood pressure. Other studies reported a decline in blood pressure, while statistically significant were not shown. Conclusion: The results showed that mobile apps have positive potential on improving the self-care behavior of patients with hypertension, but the evidences presenting their impact are varied. Different reports for efficiency of mobile phone apps for the self-care modification was due to diverse condition of studies for mobile intervention on the patients with hypertension.
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Affiliation(s)
- Amir Jamshidnezhad
- Department of Health Information Technology, Faculty of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Leila Kabootarizadeh
- Department of Health Information Technology, Faculty of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Seyed Mohsen Hoseini
- Department of Health Information Technology, Faculty of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Liu S, Husband C, La H, Juba M, Loucks R, Harrison A, Rhodes RE. Development of a self-guided web-based intervention to promote physical activity using the multi-process action control framework. Internet Interv 2018; 15:35-42. [PMID: 30568879 PMCID: PMC6290280 DOI: 10.1016/j.invent.2018.11.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 11/26/2018] [Accepted: 11/30/2018] [Indexed: 11/30/2022] Open
Abstract
PURPOSE Physical activity promotion has mostly focused on theories of intention-formation, with the assumption that positive intentions will lead to behaviour. Though necessary, exercise intentions alone are often not sufficient to improve physical activity behaviour. The Multi-Process Action Control (M-PAC) framework builds on previous intention-based theories by including both determinants of intention formation and its translation into behaviour. The purpose of this study was to describe the process of developing a self-guided web-based intervention to promote physical activity among adults using the M-PAC model. PROCEDURES The development process consisted of the following three phases: 1) Intervention planning: determine intervention needs and requirements; 2) Intervention development: use an iterative process to design a web-based physical activity intervention based on the M-PAC framework; 3) Pilot testing: conduct usability and acceptability assessment on the web-based intervention to further enhance user experience. PRINCIPAL RESULTS The intervention planning phase suggested that there is a need for web-based physical activity interventions and there is currently no web-based intervention designed using the M-PAC model. In phase two, we adopted an iterative process to develop a 10-week self-guided web-based intervention to help adults (>18 years of age) to meet 150 min of moderate to vigorous physical activity per week. The pilot testing phase yielded valuable feedback on usability, content, and design of the web-based intervention. MAJOR CONCLUSIONS The development of a web-based physical activity intervention using the M-PAC model could further enhance the effectiveness of web-based interventions and have a significant impact on extending the reach of existing physical activity promotion programs. This study has reinforced the importance of an iterative development process that involves a multi-disciplinary team to design a web-based intervention to promote physical activity. The process enabled the team to clarify the needs for an intervention for our target users, and provided valuable feedback on the design and content of the web-based intervention. Future studies are now needed to evaluate the effectiveness of our web-based intervention.
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Affiliation(s)
- Sam Liu
- Corresponding author at: School of Exercise Science, Physical and Health Education, University of Victoria, McKinnon Building 124, PO Box 1700 STN CSC, Victoria, BC V8W 2Y2, Canada.
| | - Casandra Husband
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
| | - Henry La
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
| | - Madeline Juba
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
| | - Raven Loucks
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
| | - Aimee Harrison
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
| | - Ryan E. Rhodes
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, British Columbia, Canada
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