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Background:
Coronary heart disease (CHD) is the leading cause of death and disability among American women. The prevalence of CHD is expected to increase by more than 40% by 2035. In 2015, the estimated cost of caring for patients with CHD was US $182 billion in the United States; hospitalizations accounted for more than half of the costs. Compare...
Citations
... The technologies used for delivering TaCT are ( there are no comprehensive apps covering all core CR components, tailored to low-resource settings and to women (Sengupta et al., 2020). The TaCT CR App is developed with the users in mind, who have minimal education and experience using interactive technology. ...
Women are underrepresented in cardiac rehabilitation (CR) despite the benefits, and this is exacerbated in lower‐resource settings where CR is insufficiently available. In this randomized controlled trial, the effectiveness of the Technology‐based Comprehensive Cardiac Rehabilitation Therapy (TaCT) electronic cardiac rehabilitation (eCR) intervention on functional capacity, risk factors, quality of life, heart‐health behaviors, symptoms, and morbidity will be tested among women with CVD in a middle‐income country. Following a pilot study, a single‐center, single‐blinded, 2 parallel‐arm (1:1 SNOSE) superiority trial comparing an eCR intervention (TaCT) to usual care, with assessments pre‐intervention and at 3 and 6 months will be undertaken. One hundred adult women will be recruited. Permuted block (size 10) randomization will be applied. The 6‐month intervention comprises an app, website, SMS texts with generic heart‐health management advice, and bi‐weekly 1:1 telephone calls with a nurse trainee. Individualized exercise prescriptions will be developed based on an Incremental Shuttle Walk Test (primary outcome) and dietary plans based on 24 h dietary recall. A yoga/relaxation video will be provided via WhatsApp, along with tobacco cessation support and a moderated group chat. At 3 months, intervention engagement and acceptability will be assessed. Analyses will be conducted based on intent‐to‐treat. If results of this novel trial of women‐focused eCR in a middle‐income country demonstrate clinically‐significant increases in functional capacity, this could represent an important development for the field considering this would be an important outcome for women and would translate to lower mortality.
... Nowadays, there are several smart intelligent gadgets are available that revolutionize the diagnosing procedure and reduce the pain of patients while their results are too quick and considerable [7]. Using these smart and intelligent gadgets, patients' ECG and pulse signals have been collected at the time of performing daily routine activities and their emotional state. ...
The most prevalent arrhythmia in the world is atrial fibrillation (AFib). Every year, 4.7 million individuals are diagnosed with atrial fibrillation, and it affects more than 33 million people globally. While symptoms vary by individual, the most prevalent ones are a fast heartbeat and chest discomfort. The heart rate might reach 101-175 beats per minute when atrial fibrillation develops, although the usual heart rate is 60-100 beats per minute. There are four kinds, two of which are difficult to identify using normal procedures such as an EKG (ECG). Nevertheless, as smart wearable devices have grown more commonplace, there are various techniques to identify and forecast the beginning of AF using merely ECG tests, making physicians' diagnoses simpler. By searching several databases, this study reviewed articles published in the past decade (2012 to 2021), focusing on patients who used DL(DL) for AF prediction research. The results showed that only 23 studies were selected as systematic reviews, of which 4 applied Artificial Intelligence techniques (21%), 12 of which used DL methods (52%), and the other 7 focused on the application of the general Machine Learning Model (36%). All in all, this study shows that in the context of AI, AF prediction is still an untapped field and deep learning techniques are improving accuracy, but these applications are not as frequent as expected. In addition, since 2016, more than half of the selected studies have been published, which confirms that the topic is recent and has great potential for further research.
... The characteristics of the studies are shown in Multimedia Twenty-three RCTs , 2 quasi-experimental [63,64], and 4 pre-post [65][66][67][68] studies examined changes in MVPA levels following eHealth interventions. All papers were published in English. ...
... A total of 3261 patients (mean age range, 54-71 years) in CR participating in 29 studies were included in this systematic review. The sample sizes ranged from 10 [68] to 500 [57]. Most patients in phase II or III CR were referred because of a diagnosis of coronary heart disease, myocardial infarction, coronary artery bypass surgery, coronary artery disease, stable angina, acute coronary syndrome, percutaneous coronary intervention, heart valve repair, percutaneous transluminal coronary angioplasty, heart failure, and heart transplant. ...
... Interventions varied widely between and among the studies. Seventeen studies used multiple eHealth components [40,[43][44][45]47,48,[50][51][52][53]56,57,60,61,63,67,68], and 12 studies used a single eHealth component [41,42,46,49,54,55,58,59,62,[64][65][66]. Fourteen studies used wearable devices such as heart rate monitors to monitor heart rate or electrocardiography to adjust exercise prescription to reach the target heart rate zone for maintaining optimal levels of physical activity and cardiovascular health [40,43,45,48,60], pedometers or accelerometers to monitor and record physical activity remotely [47,51,52,57,63,64,67,68], and a VTAP device to remind and remain physically active [46]. ...
BACKGROUND
Cardiac rehabilitation is a class IA recommendation for patients with cardiovascular diseases. Physical activity is the core component and core competency of cardiac rehabilitation program. However, many patients with cardiovascular diseases are failing to meet cardiac rehabilitation guidelines that recommend moderate-to-vigorous intensity physical activity.
OBJECTIVE
The major objective of this study was to review the evidence of the effectiveness of eHealth interventions to increase moderate-to-vigorous intensity physical activity among cardiac rehabilitation participants and provide evidence-based support for health care professionals and researchers. The secondary objective was to examine the effectiveness on improving cardiovascular-related outcomes, namely cardiorespiratory fitness, waist circumference and systolic blood pressure.
METHODS
A comprehensive search strategy was developed for four electronic databases (PubMed, Web of Science, Embase and The Cochrane Library), through December 16, 2021. Experimental studies reporting on eHealth interventions designed to increase moderate-to-vigorous intensity physical activity among cardiac rehabilitation participants were included. Multiple, not-blind reviewers determined study eligibility and extracted data. Risk of bias was evaluated using the Cochrane Collaboration Tool for randomized controlled trials and using the Effective Practice and Organization of Care Cochrane Review Group for non-randomized controlled trials. A random-effect model was used to provide summary measures of effect (standardized mean difference and 95% confidence interval). All statistical analyses were performed using Stata 17.
RESULTS
We screened 2,560 records; 22 studies (n = 2,194) were included in the review of which 16 were in meta-analysis. The meta-analysis demonstrated eHealth interventions improved moderate-to-vigorous intensity physical activity (standardized mean differences = 0.16, 95% confidence interval: 0.05 to 0.27, P = 0.004) and vigorous intensity physical activity (standardized mean differences = 0.2, 95% confidence interval: 0.00 to 0.39, P = 0.048), but did not improve moderate intensity physical activity (standardized mean differences = 0.19, 95% confidence interval: -0.12 to 0.51, P = 0.233). No changes were observed in cardiovascular-related outcomes. Post hoc subgroup analysis identified that wearable-based, web-based and communication-based eHealth intervention delivery methods were effective.
CONCLUSIONS
eHealth interventions are effective at increasing minutes per week of moderate-to-vigorous intensity physical activity among cardiac rehabilitation participants. Moreover, the effectiveness of the major eHealth intervention delivery methods was no difference, providing evidence that in the future, the health care professionals and researchers can personalize convenient and affordable interventions tailored to patient characteristics and needs. To eliminates the inconvenience of visiting center-based cardiac rehabilitation during the COVID-19 pandemic and to better provide support for home-based maintenance cardiac rehabilitation.
CLINICALTRIAL
The PROSPERO registration number is CRD42021278029 and registration date is September 17, 2021.
... The characteristics of the studies are shown in Multimedia Twenty-three RCTs , 2 quasi-experimental [63,64], and 4 pre-post [65][66][67][68] studies examined changes in MVPA levels following eHealth interventions. All papers were published in English. ...
... A total of 3261 patients (mean age range, 54-71 years) in CR participating in 29 studies were included in this systematic review. The sample sizes ranged from 10 [68] to 500 [57]. Most patients in phase II or III CR were referred because of a diagnosis of coronary heart disease, myocardial infarction, coronary artery bypass surgery, coronary artery disease, stable angina, acute coronary syndrome, percutaneous coronary intervention, heart valve repair, percutaneous transluminal coronary angioplasty, heart failure, and heart transplant. ...
... Interventions varied widely between and among the studies. Seventeen studies used multiple eHealth components [40,[43][44][45]47,48,[50][51][52][53]56,57,60,61,63,67,68], and 12 studies used a single eHealth component [41,42,46,49,54,55,58,59,62,[64][65][66]. Fourteen studies used wearable devices such as heart rate monitors to monitor heart rate or electrocardiography to adjust exercise prescription to reach the target heart rate zone for maintaining optimal levels of physical activity and cardiovascular health [40,43,45,48,60], pedometers or accelerometers to monitor and record physical activity remotely [47,51,52,57,63,64,67,68], and a VTAP device to remind and remain physically active [46]. ...
Background:
Cardiac rehabilitation is a class IA recommendation for patients with cardiovascular diseases. Physical activity is the core component and core competency of a cardiac rehabilitation program. However, many patients with cardiovascular diseases are failing to meet cardiac rehabilitation guidelines that recommend moderate-to-vigorous intensity physical activity.
Objective:
The major objective of this study was to review the evidence of the effectiveness of eHealth interventions in increasing moderate-to-vigorous intensity physical activity among patients in cardiac rehabilitation. The secondary objective was to examine the effectiveness of eHealth interventions in improving cardiovascular-related outcomes, that is, cardiorespiratory fitness, waist circumference, and systolic blood pressure.
Methods:
A comprehensive search strategy was developed, and a systematic search of 4 electronic databases (PubMed, Web of Science, Embase, and Cochrane Library) was conducted for papers published from the start of the creation of the database until November 27, 2022. Experimental studies reporting on eHealth interventions designed to increase moderate-to-vigorous intensity physical activity among patients in cardiac rehabilitation were included. Multiple unblinded reviewers determined the study eligibility and extracted data. Risk of bias was evaluated using the Cochrane Collaboration Tool for randomized controlled trials and the Cochrane Effective Practice and Organization of Care group methods for nonrandomized controlled trials. A random-effect model was used to provide the summary measures of effect (ie, standardized mean difference and 95% CI). All statistical analyses were performed using Stata 17.
Results:
We screened 3636 studies, but only 29 studies were included in the final review, of which 18 were included in the meta-analysis. The meta-analysis demonstrated that eHealth interventions improved moderate-to-vigorous intensity physical activity (standardized mean difference=0.18, 95% CI 0.07-0.28; P=.001) and vigorous-intensity physical activity (standardized mean difference=0.2, 95% CI 0.00-0.39; P=.048) but did not improve moderate-intensity physical activity (standardized mean difference=0.19, 95% CI -0.12 to 0.51; P=.23). No changes were observed in the cardiovascular-related outcomes. Post hoc subgroup analyses identified that wearable-based, web-based, and communication-based eHealth intervention delivery methods were effective.
Conclusions:
eHealth interventions are effective at increasing minutes per week of moderate-to-vigorous intensity physical activity among patients in cardiac rehabilitation. There was no difference in the effectiveness of the major eHealth intervention delivery methods, thereby providing evidence that in the future, health care professionals and researchers can personalize convenient and affordable interventions tailored to patient characteristics and needs to eliminate the inconvenience of visiting center-based cardiac rehabilitation programs during the COVID-19 pandemic and to provide better support for home-based maintenance of cardiac rehabilitation.
Trial registration:
PROSPERO International Prospective Register of Systematic Reviews CRD42021278029; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=278029.
... Electronic searches identified 4154 studies after duplicates were removed (Fig. 1). Full-text screening was completed for 78 studies, with 19 studies included in the final review [25,[32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49]. Agreement between reviewers for coding BCTs was substantial (κ = 0.70). ...
... Of the 19 included studies involving 1543 participants, the majority involved participants with coronary heart disease (n = 10) [25,32,34,36,38,40,[44][45][46]49], followed by four with hypertension [37,39,42,47], three with stroke [35,41,43], one with heart failure [48], and one with peripheral artery disease [33] (Supplement 1). Four studies measured sedentary behaviour as an outcome [34,35,41,45]. ...
... Of the 19 included studies involving 1543 participants, the majority involved participants with coronary heart disease (n = 10) [25,32,34,36,38,40,[44][45][46]49], followed by four with hypertension [37,39,42,47], three with stroke [35,41,43], one with heart failure [48], and one with peripheral artery disease [33] (Supplement 1). Four studies measured sedentary behaviour as an outcome [34,35,41,45]. Sedentary behaviour outcomes were reported as sedentary or sitting time per day, and duration and number of sedentary bouts per day. ...
Background
Smartphone apps are increasingly used to deliver physical activity and sedentary behaviour interventions for people with cardiovascular disease. However, the active components of these interventions which aim to change behaviours are unclear.
Aims
To identify behaviour change techniques used in smartphone app interventions for improving physical activity and sedentary behaviour in people with cardiovascular disease. Secondly, to investigate the association of the identified techniques on improving these behaviours.
Methods
Six databases (Medline, CINAHL Plus, Cochrane Library, SCOPUS, Sports Discus, EMBASE) were searched from 2007 to October 2020. Eligible studies used a smartphone app intervention for people with cardiovascular disease and reported a physical activity and/or sedentary behaviour outcome. The behaviour change techniques used within the apps for physical activity and/or sedentary behaviour were coded using the Behaviour Change Technique Taxonomy (v1). The association of behaviour change techniques on physical activity outcomes were explored through meta-regression.
Results
Forty behaviour change techniques were identified across the 19 included app-based interventions. Only two studies reported the behaviour change techniques used to target sedentary behaviour change. The most frequently used techniques for sedentary behaviour and physical activity were habit reversal and self-monitoring of behaviour respectively. In univariable analyses, action planning ( β =0.42, 90%CrI 0.07–0.78) and graded tasks ( β =0.33, 90%CrI -0.04-0.67) each had medium positive associations with increasing physical activity. Participants in interventions that used either self-monitoring outcome(s) of behaviour (i.e. outcomes other than physical activity) ( β = − 0.47, 90%CrI -0.79--0.16), biofeedback ( β = − 0.47, 90%CrI -0.81--0.15) and information about health consequences ( β = − 0.42, 90%CrI -0.74--0.07) as behaviour change techniques, appeared to do less physical activity. In the multivariable model, these predictors were not clearly removed from zero.
Conclusion
The behaviour change techniques action planning and graded tasks are good candidates for causal testing in future experimental smartphone app designs.
... The study selection process is summarized in Figure 1 using the PRISMA flow diagram. Of 1627 records identified in addition to 27 potentially relevant records, citation tracking, and reference list screening, 12 studies (0.73%) published in 14 papers were included in the final review synthesis [56,[75][76][77][78][79][80][81][82][83][84][85]. ...
... Of the 12 studies, 4 (33%) were pilot RCTs, of which 1 (25%) had an active control arm [78] and 3 (75%) had waitlist or no-intervention control groups [76,81,83]. In total, 25% (3/12) of the studies were pretest-posttest studies [56,79,84]. The quantitative study duration varied from 1 [76] to 6 months [83]. ...
... A total of 42% (5/12) of the studies limited recruitment to inactive (ie, ≤60 minutes per week of MVPA) and overweight (mean BMI 29.2, SD 3.5 kg/m 2 ) or obese (mean BMI 33.9, SD 5.9 kg/m 2 ) women [56,78,79,82,83]. In total, 25% (3/12) of the studies were based on midlife women diagnosed with breast cancer [80,81,83], and 8% (1/12) recruited postmenopausal women from cardiology clinics [84]. ...
Background:
Midlife women with menopausal symptoms are less likely to meet the recommended level of physical activity (PA). Promoting PA among women in midlife could reduce their risk of cardiovascular diseases and perhaps improve menopausal symptoms. Mobile PA interventions in the form of smartphone apps and wearable activity trackers can potentially encourage users to increase PA levels and address time and resource barriers to PA. However, evidence on the acceptability and effectiveness of these interventions among midlife women is unclear.
Objective:
This systematic review evaluated the effectiveness, acceptability, and active behavior change techniques (BCTs) of mobile PA technologies among midlife menopausal women.
Methods:
A mixed methods systematic review of qualitative and quantitative studies was conducted. MEDLINE (Ovid), Embase, Scopus, CINAHL, Web of Science, SPORTDiscus, CENTRAL, PsycINFO, and the ProQuest Sports Medicine and Education Index were systematically searched. Studies were selected and screened according to predetermined eligibility criteria. In total, 2 reviewers independently assessed the risk of bias using the Mixed Methods Appraisal Tool and completed BCT mapping of the included interventions using the BCT Taxonomy v1.
Results:
A total of 12 studies were included in this review. Overall risk of bias was "Moderate to high" in 58% (7/12) of the included studies and "low" in 42% (5/12) of the studies. Of the 12 studies, 7 (58%) assessed changes in PA levels. The pooled effect size of 2 randomized controlled trials resulted in a small to moderate increase in moderate to vigorous PA of approximately 61.36 weekly minutes among midlife women, at least in the short term (95% CI 17.70-105.01; P=.006). Although a meta-analysis was not feasible because of heterogeneity, positive improvements were also found in a range of menopause-related outcomes such as weight reduction, anxiety management, sleep quality, and menopause-related quality of life. Midlife women perceived mobile PA interventions to be acceptable and potentially helpful in increasing PA and daily steps. The average number of BCTs per mobile PA intervention was 8.8 (range 4-13) according to the BCT Taxonomy v1. "Self-monitoring of behaviour," "Biofeedback," and "Goal setting (behaviour)" were the most frequently described BCTs across the included interventions.
Conclusions:
This review demonstrated that mobile PA interventions in the form of smartphone apps and wearable trackers are potentially effective for small to moderate increases in moderate to vigorous PA among midlife women with menopausal symptoms. Although menopause is a natural condition affecting half the population worldwide, there is a substantial lack of evidence to support the acceptability and effectiveness of mobile PA interventions on menopause-related outcomes, which needs further investigation.
Trial registration:
PROSPERO CRD42021273062; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=273062.
... One multi-parametric study directly compared the number of days spent engaging with the app with that of the Fitbit 40 . Studies which included RMT symptom tracking as a component of a behaviour change app also reported on inapp module viewing 38,47,77,78 . The impact of app usage was considered by three studies: (i) minutes and days of app use accounted for a large percentage of variance in an 'app engagement factor' 32 , (ii) viewing in-app symptom visualisations correlated with aRMT and pRMT adherence 40 , and (iii) longitudinal app use was considered to reflect 'satisfaction and interest' 76 . ...
Remote Measurement Technologies (RMTs) could revolutionise management of chronic health conditions by providing real-time symptom tracking. However, the promise of RMTs relies on user engagement, which at present is variably reported in the field. This review aimed to synthesise the RMT literature to identify how and to what extent engagement is defined, measured, and reported, and to present recommendations for the standardisation of future work. Seven databases (Embase, MEDLINE and PsycINFO (via Ovid), PubMed, IEEE Xplore, Web of Science, and Cochrane Central Register of Controlled Trials) were searched in July 2020 for papers using RMT apps for symptom monitoring in adults with a health condition, prompting users to track at least three times during the study period. Data were synthesised using critical interpretive synthesis. A total of 76 papers met the inclusion criteria. Sixty five percent of papers did not include a definition of engagement. Thirty five percent included both a definition and measurement of engagement. Four synthetic constructs were developed for measuring engagement: (i) engagement with the research protocol, (ii) objective RMT engagement, (iii) subjective RMT engagement, and (iv) interactions between objective and subjective RMT engagement. The field is currently impeded by incoherent measures and a lack of consideration for engagement definitions. A process for implementing the reporting of engagement in study design is presented, alongside a framework for definition and measurement options available. Future work should consider engagement with RMTs as distinct from the wider eHealth literature, and measure objective versus subjective RMT engagement.
Registration: This review has been registered on PROSPERO [CRD42020192652].
... One multi-parametric study directly compared the number of days spent engaging with the app with that of the Fitbit 40 . Studies which included RMT symptom tracking as a component of a behaviour change app also reported on inapp module viewing 38, 47,77,78 . The impact of app usage was considered by three studies: i) minutes and days of app use accounted for a large percentage of variance in an 'app engagement factor' 32 , ii) viewing in-app symptom visualisations correlated with aRMT and pRMT adherence 40 , and iii) longitudinal app use was considered to re ect 'satisfaction and interest' 76 . ...
Background
Remote Measurement Technologies (RMTs) could revolutionise management of chronic health conditions by providing real-time symptom tracking. However, the promise of RMTs relies on user engagement, which at present is variably reported in the field. This review aimed to synthesise the RMT literature to identify how and to what extent engagement is defined, measured, and reported, and to present recommendations for the standardisation of future work.Methods
Seven databases (Embase, MEDLINE and PsycINFO (via Ovid), PubMed, IEEE Xplore, Web of Science, and Cochrane Central Register of Controlled Trials) were searched in July 2020 for papers using RMT apps for symptom monitoring in adults with a health condition, prompting users to track at least three times during the study period. Data were synthesised using critical interpretive synthesis.ResultsA total of 76 papers met the inclusion criteria. Sixty five percent of papers did not include a definition of engagement. Thirty five percent included both a definition and measurement of engagement. Four synthetic constructs were developed for measuring engagement: i) engagement with the research protocol, ii) objective RMT engagement, iii) subjective RMT engagement, and iv) interactions between objective and subjective RMT engagement.DiscussionThe field is currently impeded by incoherent measures and a lack of consideration for engagement definitions. A process for implementing the reporting of engagement in study design is presented, alongside a framework for definition and measurement options available. Future work should consider engagement with RMTs as distinct from the wider eHealth literature, and measure objective versus subjective RMT engagement.RegistrationThis review has been registered on PROSPERO [CRD42020192652].
... Hastalar "Moto 360" akıllı saat ile birlikte 12 hafta süreyle "HerBeat" uygulamasını kullanmışlardır. Uygulama, akıllı saat ve uygulamanın kendisinden gelen fiziksel aktivite, yürüme mesafesi ve kalp hızı verilerini kesintisiz kaydetmenin yanı sıra gün içinde rastgele zamanlarda 8 kez gönderilen kısa anketler ve sorular ile hastaların mevcut aktivitesini, psiko- 33 Miyokard enfarktüsü geçiren hastalarda düzenli ilaç kullanım alışkanlığı kazandırma ve risk faktörlerinin modifikasyonu amacıyla geliştirilen mobil bir uygulamada ilaç günlüğü, egzersiz alışkanlığı, kilo takibi ve sigara kullanımı olmak üzere 4 temel modül; kan basıncı, kolestrol ve kan şekeri olmak üzere de 3 minör modülden oluşan bir ara yüz üzerinden hastanın uygulamaya düzenli olarak ilgili verileri girmesi istenmiştir. Toplanan veriler uygulama tarafından yorumlanarak "hastanın mevcut duruma dayalı" bildirimler ve "bilgilendirme" bildirimleri olmak üzere 2 türde geri bildirim mesajının hastaya iletilmesi sağlanmıştır. ...
70 K ardiyovasküler hastalıklar (KVH) dünya çapında önde gelen ölüm nedenidir. KVH'nin yaklaşık %80'i fiziksel inaktivite, kötü beslenme alışkanlıkları, artmış düşük yoğunluklu lipoprotein-kolesterol (LDH) ve plazma glukoz seviyeleri ve sigara içme gibi değiştirilebilir risk faktörlerinden kaynaklanmaktadır Koroner arter has-talığı (KAH), hem gelişmiş hem de gelişmekte olan ülkelerde önde gelen ölüm nedeni ol-duğu tespit edilen bir kardiyovasküler hastalıktır. 1 KAH, kararlı angina, kararsız angina, miyokard enfarktüsü (MI) veya ani kardiyak ölüm ile kendini gösteren, inflamatuar, ate-rosklerotik bir hastalıktır. KVH'nin klinik fenotipini belirlemek için genetik ve çevresel faktörlerin birbirleriyle etkileşime girdiği bilinmektedir. 2 Önleyici ve tedavi edici yön-temler önemli ölçüde KAH progresyonunu iyileştirmektedir. Bu yöntemler içinde kardi-ÖZET Koroner arter hastalığı (KAH), hem gelişmiş hem de gelişmekte olan ülkelerde önde gelen ölüm nedeni olduğu tespit edilen bir kardiyovasküler hastalıktır. Kardiyak rehabilitasyon (KR), KAH'lı bi-reylerde iyileşmeyi hızlandıran, kardiyovasküler mortaliteyi ve hastaneye yatış riskini azaltan ve sağlıkla ilişkili yaşam kalitesini iyileştiren etkili bir yöntemdir. KR programlarında teknoloji temelli yaklaşım-lara ilgi giderek artmaktadır. Teknoloji temelli KR programlarının amacı, artan maliyetin düşürülmesi, kişiselleştirilmiş destekle bakım sağlayarak klinik tabanlı KR programlarının zorluklarını çözmek ve hastalık öz yönetiminin sağlanmasıdır. Egzersiz eğitimi ve fiziksel aktivite danışmanlığı teknoloji te-meli KR programlarında en çok uygulanan KR komponentidir. Bu derlemede KAH'lı bireylerde uygu-lanan teknoloji temelli fizyoterapi ve rehabilitasyon yaklaşımları; fiziksel aktivite monitörleri ve giyilebilir teknolojiler, mobil uygulamalar, iletişim teknolojisi ve sanal gerçeklik uygulamaları alt baş-lıklarında, rehabilitasyon çıktıları, kullanım kolaylığı ve maliyet avantajı açısından anlatılmıştır. Anah tar Ke li me ler: Telerehabilitasyon; koroner arter hastalığı; dijital teknoloji; kardiyak rehabilitasyon ABS TRACT Coronary artery disease (CAD) is a cardiovascular disease that has been found to be the leading cause of death in both developed and developing countries. Cardiac rehabilitation (CR) is an effective method that accelerates recovery, reduces cardiovascular mortality and the risk of hospitalization, and improves health-related quality of life in individuals with CAD. There is increasing interest in technology based approaches in CR programs. The aim of technology-based CR programs is to reduce the incremental cost, provide care with personalized support, solve the challenges of clinical-based CR programs , and enable self-management of disease. Exercise training and physical activity counseling are most applied CR components in technology-based CR programs. In this review, technology-based physiotherapy and rehabilitation approaches are explained in terms of rehabilitation, ease of use and cost advantage under the subtitles of physical activity monitors and wearable technologies, mobile applications, communication technology and virtual reality applications in individuals with CAD.
... MHealth app usability questionnaire has been widely utilized in the United States (Sengupta et al., 2020;Sood et al., 2020;Cummins et al., 2021), Sweden (Anderberg et al., 2019), Australia (Menon et al., 2019), Spain (Soriano et al., 2020), South Africa (Gous et al., 2020), and other countries. It is mainly used to study the usability of digital healthcare systems. ...
Background
Mobile health (mHealth) apps have shown the advantages of improving medication compliance, saving time required for diagnosis and treatment, reducing medical expenses, etc. The World Health Organization (WHO) has recommended that mHealth apps should be evaluated prior to their implementation to ensure their accuracy in data analysis.
Objective
This study aimed to translate the patient version of the interactive mHealth app usability questionnaire (MAUQ) into Chinese, and to conduct cross-cultural adaptation and reliability and validity tests.
Methods
The Brislin’s translation model was used in this study. The cross-cultural adaptation was performed according to experts’ comments and the results of prediction test. The convenience sampling method was utilized to investigate 346 patients who used the “Good Doctor” (“Good Doctor” is the most popular mHealth app in China), and the reliability and validity of the questionnaire were evaluated as well.
Results
After translation and cross-cultural adaptation, there were a total of 21 items and 3 dimensions: usability and satisfaction (8 items), system information arrangement (6 items), and efficiency (7 items). The content validity index was determined to be 0.952, indicating that the 21 items used to evaluate the usability of the Chinese version of the MAUQ were well correlated. The Cronbach’s α coefficient of the total questionnaire was 0.912, which revealed that the questionnaire had a high internal consistency. The values of test-retest reliability and split-half reliability of the Chinese version of the MAUQ were 0.869 and 0.701, respectively, representing that the questionnaire had a good stability.
Conclusion
The translated questionnaire has good reliability and validity in the context of Chinese culture, and it could be used as a usability testing tool for the patient version of interactive mHealth apps.
