Der Nutzen von smartphonebasierten Gesundheits-Apps beim Selbstmanagement von COPD-Patienten

2019 ◽  
Vol 7 (2) ◽  
pp. 81-82
Author(s):  
Johannes Knoch
Keyword(s):  
Mobile Phone ◽  
Mobile Health ◽  
Hospital Admissions ◽  
Meta Analysis ◽  
Self Management ◽  
Cochrane Library ◽  
Significant Difference ◽  
Mobile Health Applications ◽  
Mobile Phone Applications ◽  
Health Applications

Background: Mobile health applications are increasingly used in patients with Chronic Obstructive Pulmonary Disease (COPD) to improve their self-management, nonetheless, without firm evidence of their efficacy. This meta-analysis was aimed to assess the efficacy of mobile health applications in supporting self-management as an intervention to reduce hospital admission rates and average days of hospitalization, etc. Methods: PubMed, Web of Science (SCI), Cochrane Library, and Embase were searched for relevant articles published before November 14th, 2017. A total of 6 reports with randomized controlled trials (RCTs) were finally included in this meta-analysis. Results: Patients using mobile phone applications may have a lower risk for hospital admissions than those in the usual care group (risk ratio (RR) = 0.73, 95% CI [0.52, 1.04]). However, there was no significant difference in reducing the average days of hospitalization. Conclusion: Self-management with mobile phone applications could reduce hospital admissions of patients with COPD.

Benefits of mHealth for Symptom Management of Cancer Patients: A Meta-Analysis (Preprint)

2021 ◽  
Author(s):  
Jiarong Li ◽  
Mingxia Chen ◽  
Wang Su ◽  
Changying Liu ◽  
Linglong Liu
Keyword(s):  
Cancer Patients ◽  
Mobile Health ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Control Group ◽  
Mhealth Intervention ◽  
Significant Difference ◽  
Registration Number ◽  
Mobile Health Applications

BACKGROUND At the present, cancer patients are experiencing symptoms that can seriously influence their quality of life. There are many mobile health applications in Internet medical services to manage those symptoms. However, further research is needed to see whether mobile health can provide benefits to cancer patients. OBJECTIVE The meta-analysis aimed to value the benefits of mHealth for depression, anxiety, pain, fatigue, and insomnia outcomes of cancer patients. METHODS We searched PubMed, CINHAL, Web of Science, Cochrane library Trials, EMBASE database to select random clinic trials that investigated the benefits of mHealth for cancer patients, from the date of inception to 17 April 2021. RESULTS Eight random clinic trials were eligible for this meta-analysis. Collectively, mHealth group has 1641 participants, the control group has 1463 participants. The meta-analysis revealed that the mHealth intervention improves significantly cancer patients’ fatigue(SMD −0.19, 95% CI −0.32 to −0.05），P= .007), insomnia(SMD −0.26, 95% CI −0.44 to −0.08, P= .005), depression(SMD −0.22, 95% CI −0.32 to −0.13，P<0.00001), and anxiety(SMD −0.27, 95% CI −0.47 to −0.07, P= .008), whereas no significant difference was found in pain score (SMD -0.27, 95%CI −0.68 to 0.13，P= .19). CONCLUSIONS mHealth intervention may significantly improve depression, anxiety, fatigue, and insomnia outcomes of cancer patients, but have no significant effort on pain. CLINICALTRIAL This meta-analysis was registered with The International Prospective Register of Systematic Reviews (PROSPERO) , registration number is: CRD42021272537.

EFFECTIVNESS OF SPECIFIC MOBILE HEALTH APPLICATIONS (mHEALTH-APPS)in GESTATIONAL DIABTETES MELLITUS: A SYSTEMATIC REVIEW (Preprint)

2020 ◽  
Author(s):  
Claudia Eberle ◽  
Maxine Löhnert
Keyword(s):  
Mobile Health ◽  
Cochrane Library ◽  
Clinical Parameters ◽  
Control Groups ◽  
Manual Search ◽  
Mobile Health Applications ◽  
Short And Long Term ◽  
Mhealth Apps ◽  
Health Applications

BACKGROUND Gestational diabetes mellitus (GDM) emerges worldwide and is closely associated with short- and long-term health issues in women and their offspring, such as pregnancy and birth complications respectively comorbidities, Type 2 Diabetes (T2D), Metabolic Syndrome (MetS) as well as cardiovascular disease (CD). Against this background mobile health applications (mHealth-Apps) do open up new possibilities to improve the management of GDM clearly. OBJECTIVE Since there is – to our knowledge – no systematic literature review published, which focusses on the effectiveness of specific mHealth-Apps on clinical health-related short and long-term outcomes of mother and child, we conducted these much-needed analyses. METHODS Data sources: A systematic literature search in Medline (Pubmed), Cochrane Library, Embase, CINAHL and Web of Science was performed including full text publications since 2008 up to date. An additional manual search in references and Google Scholar was conducted subsequently. Study Eligibility Criteria: Women diagnosed with GDM using specific mHealth-Apps during pregnancy compared to control groups, which met main clinical parameters and outcomes in GDM management as well as maternity and offspring care. Study appraisal and synthesis methods: Study quality was assessed and rated “strong”, “moderate” or “weak” by using the Effective Public Health Practice Project (EPHPP) tool. Study results were strongly categorized by outcomes; an additional qualitative summary was assessed. Study selection: Overall, n= 114 studies were analyzed, n= 46 duplicates were removed, n=5 studies met the eligible criteria and n=1 study was assessed by manual search subsequently. In total, n=6 publications, analyzing n=408 GDM patients in the interventional and n=405 women diagnosed with GDM in the control groups, were included. These studies were divided into n=5 two-arm randomized controlled trials (RCT) and n=1 controlled clinical trial (CCT). RESULTS Distinct improvements in clinical parameters and outcomes, such as fasting blood glucoses (FBG), 2-hour postprandial blood glucoses (PBG), off target blood glucose measurements (OTBG), delivery modes and patient compliance were analyzed in GDM patients using specific mHealth-Apps compared to matched control groups. CONCLUSIONS mHealth-Apps clearly improve clinical outcomes in management of GDM effectively. More studies need to be done more in detail.

Mobile Health Applications to Support COVID-19 Self-management: Review and Evaluation

2021 ◽  
Author(s):  
Sahar Khenarinezhad ◽  
Ehsan Ghazanfari Savadkoohi ◽  
Leila Shahmoradi
Keyword(s):  
Mobile Health ◽  
Mobile Apps ◽  
Healthcare Providers ◽  
Vital Signs ◽  
Complete Information ◽  
Self Management ◽  
Management Measures ◽  
Management Procedures ◽  
Mobile Health Applications ◽  
Health Applications

Aim: During the epidemic and with an increase in coronavirus (COVID-19) disease prevalence, emergency care is essential to help people stay informed and undertake self-management measures to protect their health. One of these self-management procedures is the use of mobile apps in health. Mobile health (mHealth) applications include mobile devices in collecting clinical health data, sharing healthcare information for practitioners and patients, real-time monitoring of patient vital signs, and the direct provision of care (via mobile telemedicine). Mobile apps are increasing to improve health, but before healthcare providers can recommend these applications to patients, they need to be sure the apps will help change patients' lifestyles. Method: A search was conducted systematically using the keywords "Covid-19," "Coronavirus," "Covid-19, and Self-management" at the "Apple App Store". Then we evaluated the apps according to MARS criteria in May 2020. Results: A total of 145 apps for COVID-19 self-management were identified, but only 32 apps met our inclusion criteria after being assessed. The overall mean MARS score was 2.9 out of 5, and more than half of the apps had a minimum acceptability score (range 2.5-3.9). The "who academy" app received the highest functionality score. Who Academy, Corona-Care and First Responder COVID-19 Guide had the highest scores for behavior change. Conclusion: Our findings showed that few apps meet the quality, content, and functionality criteria for Covid-19 self-management. Therefore, developers should use evidence-based medical guidelines in creating mobile health applications so that, they can provide comprehensive and complete information to both patients and healthcare provider.

Integrating a mobile health applications for self-management to enhance Telecare system

2018 ◽  
Vol 35 (4) ◽  
pp. 815-825 ◽  
Author(s):  
Hao-Yun Kao ◽  
Chun-Wang Wei ◽  
Min-Chun Yu ◽  
Tyng-Yeu Liang ◽  
Wen-Hsiung Wu ◽  
...  
Keyword(s):  
Mobile Health ◽  
Self Management ◽  
Mobile Health Applications ◽  
Health Applications

scholarly journals EULAR points to consider for the development, evaluation and implementation of mobile health applications aiding self-management in people living with rheumatic and musculoskeletal diseases

RMD Open ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. e001014 ◽  
Author(s):  
Aurélie Najm ◽  
Elena Nikiphorou ◽  
Marie Kostine ◽  
Christophe Richez ◽  
John D Pauling ◽  
...  
Keyword(s):  
Mobile Health ◽  
Online Survey ◽  
Musculoskeletal Diseases ◽  
Task Force ◽  
Cost Benefit ◽  
Self Management ◽  
Mobile Health Applications ◽  
Development Evaluation ◽  
Level Of Agreement ◽  
Health Applications

BackgroundMobile health applications (apps) are available to enable people with rheumatic and musculoskeletal diseases (RMDs) to better self-manage their health. However, guidance on the development and evaluation of such apps is lacking.ObjectivesThe objective of this EULAR task force was to establish points to consider (PtC) for the development, evaluation and implementation of apps for self-management of RMDs.MethodsA systematic literature review of app content and development strategies was conducted, followed by patient focus group and an online survey. Based on this information and along with task force expert opinion, PtC were formulated in a face-to-face meeting by a multidisciplinary task force panel of experts, including two patient research partners. The level of agreement among the panel in regard to each PtC was established by anonymous online voting.ResultsThree overarching principles and 10 PtC were formulated. Three PtC are related to patient safety, considered as a critical issue by the panel. Three are related to relevance of the content and functionalities. The requirement for transparency around app development and funding sources, along with involvement of relevant health professionals, were also raised. Ease of app access across ages and abilities was highlighted, in addition to considering the cost benefit of apps from the outset. The level of agreement was from 8.8 to 9.9 out of 10.ConclusionThese EULAR PtC provide guidance on important aspects that should be considered for the development, evaluation and implementation of existing and new apps.

scholarly journals Patient Self-Management of Asthma Using Mobile Health Applications: A Systematic Review of the Functionalities and Effects

2017 ◽  
Vol 08 (04) ◽  
pp. 1068-1081 ◽  
Author(s):  
Mehrdad Farzandipour ◽  
Ehsan Nabovati ◽  
Reihane Sharif ◽  
Marzieh Arani ◽  
Shima Anvari
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Mobile Health ◽  
Self Management ◽  
Cochrane Central Register ◽  
Patient Reported ◽  
Mobile Health Applications ◽  
Mhealth Apps ◽  
Health Applications

Objective The aim of this systematic review was to summarize the evidence regarding the effects of mobile health applications (mHealth apps) for self-management outcomes in patients with asthma and to assess the functionalities of effective interventions. Methods We systematically searched Medline, Scopus, and the Cochrane Central Register of Controlled Trials. We included English-language studies that evaluated the effects of smartphone or tablet computer apps on self-management outcomes in asthmatic patients. The characteristics of these studies, effects of interventions, and features of mHealth apps were extracted. Results A total of 10 studies met all the inclusion criteria. Outcomes that were assessed in the included studies were categorized into three groups (clinical, patient-reported, and economic). mHealth apps improved asthma control (five studies) and lung function (two studies) from the clinical outcomes. From the patient-reported outcomes, quality of life (three studies) was statistically significantly improved, while there was no significant impact on self-efficacy scores (two studies). Effects on economic outcomes were equivocal, so that the number of visits (in two studies) and admission and hospitalization-relevant outcomes (in one study) statistically significantly improved; and in four other studies, these outcomes did not improve significantly. mHealth apps features were categorized into seven categories (inform, instruct, record, display, guide, remind/alert, and communicate). Eight of the 10 mHealth apps included more than one functionality. Nearly all interventions had the functionality of recording user-entered data and half of them had the functionality of providing educational information and reminders to patients. Conclusion Multifunctional mHealth apps have good potential in the control of asthma and in improving the quality of life in such patients compared with traditional interventions. Further studies are needed to identify the effectiveness of these interventions on outcomes related to medication adherence and costs.

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