scholarly journals Use of Patient Generated Health Data collected from consumer wearable devices in clinical care: a systematic review and meta-analysis (Preprint)

2017 ◽  
Author(s):  
Robab Abdolkhani ◽  
Kathleen Gray ◽  
Ann Borda
Keyword(s):  
Systematic Review ◽  
Life Cycle ◽  
Low Cost ◽  
Meta Analysis ◽  
Clinical Care ◽  
Self Care ◽  
Health Data ◽  
Related Data ◽  
Life Cycle Stages ◽  
Health Related

BACKGROUND PGHD (Patient Generated Health Data) are health-related data created or recorded by patients to inform their self-care. The availability of low-cost easy-to-use consumer wearable technologies has facilitated patients’ engagement in their self-care and increased production of PGHD but the uptake of this data in clinical environments has been slow. Studies showing opportunities and challenges affecting PGHD adoption and use in clinical care have not investigated these factors in detail during all stages of the PGHD life cycle. OBJECTIVE This study aims to provide deeper insight into various issues influencing the use of PGHD at each stage of its life cycle from the perspectives of key stakeholders including patients, healthcare professionals, and the health IT managers. METHODS A systematic review was undertaken on the scholarly and industry literature published from 2012 to 2017. Thematic analysis of content was applied to uncover perspectives of the key PGHD stakeholders on opportunities and challenges related to all life cycle stages of PGHD from consumer wearables. RESULTS Thirty-six papers were identified for detailed analysis. Challenges were discussed more frequently than opportunities. Most studies done in real-world settings were limited to the collection stage of PGHD life cycle that captured through consumer wearables. CONCLUSIONS There are many gaps in knowledge on opportunities and challenges affecting PGHD captured through consumer wearables in each stage of its life cycle. A conceptual framework involving all the stakeholders in overcoming various technical, clinical, cultural, and regulatory challenges affecting PGHD during its life cycle could help to advance the integration with and use of PGHD in clinical care.

scholarly journals The other side of the coin: harm due to the non-use of health-related data

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Kerina Jones ◽  
Graeme Laurie ◽  
Leslie Stevens ◽  
Christine Dobbs ◽  
David Ford ◽  
...  
Keyword(s):  
Clinical Care ◽  
Indirect Evidence ◽  
Health Data ◽  
Real Problem ◽  
Multiple Sources ◽  
Complex Issue ◽  
Study Approach ◽  
Related Data ◽  
Health Related ◽  
Financial Burdens

ABSTRACTObjectivesIt is widely acknowledged that breaches and misuses of health-related data can have serious implications and consequently they often carry penalties. However, harm due to the omission of health data usage, or data non use, is a subject that lacks attention. A better understanding of this other side of the coin is required before it can be addressed effectively. ApproachThis article uses an international case study approach to explore why data non use is difficult to ascertain, the sources and types of health-related data non-use, its implications for citizens and society and some of the reasons it occurs. It does this by focussing on issues with clinical care records, research data and governance frameworks and associated examples of non-use. ResultsThe non-use of health-related data is a complex issue with multiple sources and reasons contributing to it. Instances of data non-use can be associated with harm, but taken together they describe a trail of data non-use, and this may complicate and compound its impacts. Actual evidence of data non-use is sparse and harm due to data non use is difficult to prove. But although it can be nebulous, it is a real problem with largely unquantifiable consequences. There is ample indirect evidence that health data non-use is implicated in the deaths of many thousands of people and potentially £billions in financial burdens to societies.ConclusionThe most effective initiatives to address specific contexts of data non-use will be those that are cognisant of the multiple aspects to this complex issue, in order to move towards socially responsible reuse of data becoming the norm to save lives and resources.

Impact of early childhood caries on oral health‐related quality of life: a systematic review and meta‐analysis

2021 ◽  
Author(s):  
Carlos Zaror ◽  
Andrea Matamala‐Santander ◽  
Montse Ferrer ◽  
Fernando Rivera‐Mendoza ◽  
Gerardo Espinoza‐Espinoza ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Early Childhood ◽  
Oral Health ◽  
Early Childhood Caries ◽  
Meta Analysis ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

scholarly journals ACCURACY OF CARDIOVASCULAR TRIAL OUTCOME ASCERTAINMENT AND TREATMENT EFFECT ESTIMATES FROM ROUTINE HEALTH DATA: A SYSTEMATIC REVIEW AND META-ANALYSIS

2021 ◽  
Vol 77 (18) ◽  
pp. 187
Author(s):  
Craig Rodrigues ◽  
Ayodele Odutayo ◽  
Sagar Patel ◽  
Arnav Argarwal ◽  
Bruno Roza da Costa ◽  
...  
Keyword(s):  
Systematic Review ◽  
Treatment Effect ◽  
Meta Analysis ◽  
Health Data ◽  
Trial Outcome

Socioeconomic status and oral health‐related quality of life: A systematic review and meta‐analysis

2020 ◽  
Author(s):  
Jessica K. Knorst ◽  
Camila S. Sfreddo ◽  
Gabriela F. Meira ◽  
Fabrício B. Zanatta ◽  
Mario V. Vettore ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Systematic Review ◽  
Socioeconomic Status ◽  
Oral Health ◽  
Meta Analysis ◽  
Health Related Quality ◽  
Related Quality ◽  
Health Related

scholarly journals Role of nurses to improve self-care in heart failure patients: a systematic review and meta-analysis

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Massimi ◽  
C De Vito ◽  
M L Rega ◽  
P Villari ◽  
G Damiani
Keyword(s):  
Heart Failure ◽  
Systematic Review ◽  
Meta Analysis ◽  
Self Care ◽  
Educational Interventions ◽  
Management Skills ◽  
Short Term ◽  
Post Discharge ◽  
Individual Level ◽  
Heart Failure Patients

Abstract Introduction Heart Failure (HF) is a pandemic chronic disease with a prevalence up to 3% in the general population, representing the main cause of hospitalization for people over 65. Self-care plays a central role in the management of patients with HF, showing evidence of effectiveness in reducing re-hospitalization rates and mortality. Methods We carried out a systematic review and meta-analysis to assess the efficacy of nurse-led educational interventions Vs usual care in improving self-care skills of patients with chronic HF. The main biomedical databases were searched for Randomized Control Trials (RCTs) of nurse-led educational interventions performed on adults with a previous diagnosis of HF. Improvement of HF self-management skills (self-care level) was summarized by calculating the standardized mean difference (SMD) and 95% confidence intervals (CI) stratified for the length of the follow-up. Results Globally, 14 RCTs were included involving 2078 participants. Ten studies showed the efficacy of the interventions at 3 months (short term) with a SMD of 0.78 (95% CI 0.38-1.18) in favor of the self-care education interventions. Five studies reported on self-care abilities at 6-9 months (medium term), not showing statistically significant results (SMD 0.35, 95%CI 0.11-0.81). The long-term effect of the educational interventions showed no statistically significant improvement in self-care behaviors (three studies, SMD 0.05, 95CI% 0.12 - 0.22). Conclusions These results show that nursing educational interventions improve self-care behaviors in HF, but mainly in the short term. Intensive educational interventions led by nurses, associated with appropriate continuity and transition of care, can determine the best outcomes for patients with HF, strengthening self-care behaviors over time. This approach could have a major impact not only on individual level, but on the general reduction of complications, hospitalization, medical costs and ultimately mortality. Key messages Nurse-led educational programs have a short-term efficacy in enhancing self-care behaviors among heart failure patients. Post-discharge repeated educational interventions, along with timely and shared plans ruling the transition between the hospital and the other providers, are strongly needed.

Effectiveness of Forensic Assertive Community Treatment on Forensic and Health Outcomes: A Systematic Review and Meta-Analysis

2021 ◽  
pp. 009385482110614
Author(s):  
Marie-Hélène Goulet ◽  
Laura Dellazizzo ◽  
Clara Lessard-Deschênes ◽  
Alain Lesage ◽  
Anne G. Crocker ◽  
...  
Keyword(s):  
Systematic Review ◽  
Assertive Community Treatment ◽  
Service Use ◽  
Meta Analysis ◽  
Outpatient Service ◽  
Community Treatment ◽  
Control Groups ◽  
Program Success ◽  
Health Related ◽  
Meta Analyses

Given the increasing literature on forensic assertive community treatment (FACT), we conducted a systematic review and meta-analysis to explore the effectiveness of FACT among justice-involved individuals with severe mental illness. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. Sixteen studies were included in the systematic review, six of which were included in the meta-analyses for a total of 1,246 participants. Mixed results regarding health-related outcomes were found. The pre-post FACT analysis and comparison with control groups did not yield significant results other than increased outpatient service use. Results on forensic outcomes were more compelling. Both the narrative review and the meta-analysis highlighted that FACT programs may improve justice outcomes such as the number of days spent in jail. More high quality and multisite randomized controlled trials are needed to consolidate findings. Further research is needed to examine other psychosocial factors related to FACT program success.

Understanding Data Collection Mechanisms Used by Health and Wellness Applications (Preprint)

2021 ◽  
Author(s):  
Ben Philip ◽  
Mohamed Abdelrazek ◽  
Alessio Bonti ◽  
Scott Barnett ◽  
John Grundy
Keyword(s):  
Data Collection ◽  
User Experience ◽  
Health Data ◽  
Domain Model ◽  
Health And Wellness ◽  
Related Services ◽  
Related Data ◽  
Medical Apps ◽  
App Development ◽  
Health Related

UNSTRUCTURED Our objective is to better understand health-related data collection across different mHealth app categories. This would help in developing a health domain model for mHealth apps to facilitate app development and data sharing between these apps to improve user experience and reduce redundancy in data collection. We identified app categories listed in a curated library which was then used to explore the Google Play Store for health/medical apps that were then filtered using our inclusion criteria. We downloaded and analysed these apps using a script we developed around the popular AndroGuard tool. We analysed the use of Bluetooth peripherals and built-in sensors to understand how a given app collects/generates health data. We retrieved 3,251 applications meeting our criteria, and our analysis showed that only 10.7% of these apps requested permission for Bluetooth access. We found 50.9% of the Bluetooth Service UUIDs to be known in these apps, with the remainder being vendor specific. The most common health-related services using the known UUIDs were Heart Rate, Glucose and Body Composition. App permissions show the most used device module/sensor to be the camera (20.57%), closely followed by GPS (18.39%). Our findings are consistent with previous studies in that not many health apps were found to use built-in sensors or peripherals for collecting health data. The use of more peripherals and automated data collection along with integration with other apps could increase usability and convenience which would eventually also improve user experience and data reliability.

Sign in / Sign up

Export Citation Format

Share Document