| Literature DB >> 35232456 |
Gabriele Palozzi1, Gianluca Antonucci2.
Abstract
BACKGROUND: Cardiovascular disease (CVD) is the first cause of death globally, with huge costs worldwide. Most cases of CVD could be prevented by addressing behavioural risk factors. Among these factors, there is physical and amateur sports activity (PASA), which has a linear negative correlation with the risk of CVD. Nevertheless, attempts to encourage PASA, as exercise prescription programmes, achieved little impact at the community-wide level. A new frontier to promote PASA is represented by mobile health tools, such as exergaming, mobile device apps, health wearables, GPS/GIS and virtual reality. Nevertheless, there has not yet been any evident turnabout in patient active involvement towards CVD prevention, and inactivity rates are even increasing. This study aims at framing the state of the art of the literature about the use of m-health in supporting PASA, as a user-centric innovation strategy, to promote co-production health policies aiming at CVD prevention.Entities:
Keywords: Bibliometric analysis; Cardiovascular Disease; Co-production; Health Policies; Healthcare; Mobile-health; Physical activity; Sports
Mesh:
Year: 2022 PMID: 35232456 PMCID: PMC8886562 DOI: 10.1186/s12913-022-07637-8
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Keywords used for the inquiry
| 1st Keywords | ‘physical activity’ or ‘motor activity’ or ‘sport activity’ |
|---|---|
|
| |
|
| ‘health policy’ or ‘policy’ or ‘healthcare’ or ‘health care’ or ‘public’ |
|
| |
|
| ‘mobile health’ or ‘m-health’ or ‘e-health’ or ‘ehealth’ or ‘mhealth’ or ‘telemedicine’ or ‘tele care’ or ‘telecare’ |
|
| |
|
| ‘prevention’ or ‘life’ or ‘quality’ |
|
| |
|
| ‘cardiovascular’ or ‘cardio’ or ‘CVD’ |
Source: Authors’ illustration
Fig. 1Paper selection and extraction template. White side: bibliometric SLR; Grey side: conceptual SLR. Source: Authors’ elaboration from the PRISMA model
Quantitative information about the bibliometric sample
| Description | Results |
|---|---|
| MAIN INFORMATION ABOUT THE DATA | |
| Timespan | 1989:2021 |
| Documents | 2,295 |
| Average years from publication | 3.65 |
| Average citations per document | 38.14 |
| Average citations per year per document | 6.17 |
| Total references | 250,622 |
| DOCUMENT TYPES | |
| Article | 1,569 |
| Book chapter | 90 |
| Review | 636 |
| AUTHORS & COLLABORATION | |
| Authors | 14,890 |
| Authors of single-authored documents | 80 |
| Average authors per document | 6.49 |
| Collaboration Index | 6.74 |
Source: Authors’ elaboration Biblioshiny web-interface of Bibliometrix R Package
Fig. 2Number of documents by year and growth rate for the last two decades. Source: Authors’ elaboration
Fig. 3Documents by sources. Coloured labels represent clusters of disciplines. Colours have been assigned by the authors. Source: Authors’ elaboration
Fig. 4Documents by country. Source: Authors’ elaboration from Biblioshiny web-interface of Bibliometrix R Package
Fig. 5Most cited countries and interactions. Minimum number of citations of a country = 500; Number of countries = 30. Label colours have been automatically assigned by the software. Source: Authors’ elaboration from VOSviewer
Fig. 6Most cited sources and interactions. Minimum number of citations of a source = 650; Number of sources = 18. Coloured labels represent clusters of disciplines. Colours have automatically been assigned by the software. Names of labels are assigned by the author according to Fig. 3 categorization. Source: Authors’ elaboration from VOSviewer
Fig. 7Scientific collaboration among countries. Minimum number of documents of a country = 20; Number of countries = 31. Label colours have been automatically assigned by the software. Source: Authors’ elaboration from VOSviewer
Fig. 8Source co-citation. Minimum number of citations of a source = 520; Number of sources = 34. Label colours have been automatically assigned by the software. Circle colours have been assigned by the authors. Source: Authors’ elaboration from VOSviewer
Fig. 9Keywords co-occurrence. Minimum number of occurrences of a keyword = 150; Number of keywords = 45; Number of items = 32. The following 13 keywords have been excluded because they are too general: article, controlled study, human, humans, major clinical study, pathophysiology, priority journal, procedures, questionnaire, randomized controlled trial (topic), randomized controlled trial, review, and systematic review. Label colours have been automatically assigned by the software. The names of labels have been assigned by the authors through macro-grouping of keywords. Source: Authors’ elaboration from VOSviewer
Fig. 10Thematic map of the field. Minimum cluster frequency (per thousand docs) = 2; Number of words = 750. Label colours and widths have been automatically assigned by the software. The size of the cluster is provided by the software based on the number of keyword occurrences; the names of labels are provided by the software as corresponding to the most significant keywords. Source: Authors’ elaboration from Biblioshiny web-interface of Bibliometrix R Package
Main findings from the paper included in the narrative content analysis
| Scoresa | Total | Methodology | Main findings | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Year | Authors | Country | CVD | PA | MH | CP | |||
| 2021 | Okop K.J. et al. [ | South Africa | 5 | 1.5 | 4.5 | 4.5 | 15.5 | Case study on participatory action research (PAR) | Co-creative approach with scientists and citizens who participate together in creating new understandings and a shared agenda, using tablets to facilitate data gathering discussion. The involvement of relevant stakeholders facilitates the training of “citizen scientists”, operating to increase the awareness of CVD risk and the importance of proper lifestyles. |
| 2021 | Maxwell et al. [ | Australia | 2 | 4 | 4.5 | 4.5 | 15 | Interview based pilot case study | Focus on the relevance of digital tools in fostering PASA. The study reveals that m-health enhances health by increasing: (i) health literacy; (ii) motivation to exercise; and (iii) accountability about impact of PASA in wellbeing. It identifies technical issues as the main barrier for the use of m-health for fostering PASA. |
| 2020 | Monteiro-Guerra F. et al. [ | Spain | 2 | 4.5 | 1.5 | 5 | 13 | Scoping literature review | User engagement via m-health enhances better results of PASA towards wellbeing. The engagement and awareness (co-production) of users are due to the following features to be contained in a physical training APP: (1) Feedback; (2) User Targeting; (3) Goal Setting; (4) Inter-Human Interaction; (5) Adaptation; and (6) Context Awareness; Self Learning. |
| 2020 | Harris M.A. & Crone D. [ | United Kingdom | 3.5 | 5 | 1 | 4.5 | 14 | Case study on mobile app physical activity development. Based on focus groups to enucleate positive points and barriers. | The study describes a pilot intervention aiming at a community-wide gamification based physical activity intervention on behalf of Sport England in the City of Wolverhampton. It identifies why participants decided to be engaged and the barriers to participation they encountered. |
| 2020 | Kim Y. et al. [ | Republic of Korea | 4 | 4.5 | 1 | 3.5 | 13 | Literature review + explorative case study on real-life setting by focus group interviews. | Based on LR findings, the study analyses the co-development of a mobile app to foster PASA in a sedentary population of migrants with high CVD risk. The remote monitoring the physical, mental, and social health (considering also their specific cultural features) of users led to a change in their behaviours, also favouring inclusion and access to healthcare for early detection of illnesses. |
| 2019 | Su J.J. & Yu D.S.F. [ | China | 3 | 2 | 4.5 | 4 | 13.5 | Case study designed on single-blinded two-arm parallel randomized controlled trials comparing the effects of an eHealth CR with usual care on the behavioural and clinical outcomes of patients with CHD who were admitted for disease exacerbation. | The study shows an ongoing nurse-led eHealth cardiac rehabilitation intervention investigating its effects on: lifestyle behaviour, self-efficacy, health-related quality of life and service use. The study employs a hybrid approach guided by an empowerment model. The intervention content and web-design are based on international guidelines and national culturally appropriated recommendations. |
| 2018 | Sankaran S. et al. [ | Belgium | 3.5 | 4 | 5 | 5 | 17 | Case study on hearth rehabilitation with two lenses of observation: - Medication adherence - Physical activities. | The paper highlights how the intelligibility of improvements (or failures) through a mobile app in physical rehabilitation is a pre-requisite for protocol success. This happens when you: (i) inform the users; (ii) provide feedback; (iii) enforce identity and action disclosure; and (iv) provide control. Both medication and physical exercise adherence behave in the same way within rehabilitation protocols. A greater training adherence is due to making the reasoning behind PASA in heart disease tele-rehabilitation intelligible. |
| 2017 | Zhang H. et al. [ | Singapore | 3 | 2 | 4 | 4 | 13 | Pilot case study based on a randomized controlled trial (RCT) aimed at examining the feasibility and efficacy of a newly developed 4-week smartphone based coronary heart disease prevention (SBCHDP) programme in improving awareness and knowledge of CHD, perceived stress and heart-related lifestyle behaviours among the working population of Singapore. | Compared to the control group, there were more participants in the intervention group who were aware that CHD is the second leading cause of death. The study affirmed that chronic disease prevention via mobile devices is feasible and effective due to its convenience. It represents a convenient, affordable, and accessible method for a substantial proportion of the population. |
| 2017 | Jennings C.A. et al. [ | Canada | 2 | 4.5 | 1 | 5 | 12.5 | Case study description of the development of UWALK (eHealth based physical activities promotion program), which is based on the RE-AIM model | The paper highlights the importance of the involvement of citizens and promotion of healthy lifestyles. The UWALK program, aimed at fostering wellbeing by monitoring physical activities through mobile apps (either connected to tracking sensor devices or manually filled by information about exercises carried out), was strongly based on a communication campaign that enhanced the participation and awareness of patients about the issue and predisposition to usage of the app. |
| 2016 | Mercer K. et al. [ | Canada | 2 | 5 | 1 | 4 | 12 | Case study based on qualitative research with 32 participants aged between 52 and 85 years who were at risk or had a pathology, using the most common (in 2014) trackers in Canada | The study examines the usability and usefulness of wearable activity trackers for older adults with chronic illnesses, as a first step to better understand how wearable fitness trackers can help older adults become healthier. All the wearable activity trackers tested had a similar score for each item, and 22 of the 30 participants who completed the study said they would purchase a wearable activity tracker. |
a Scores (1 min; 5 max) are averaged after a double check from the authors regarding the coherence and pertinence of each paper about the following topics concerning this study: (i) cardiovascular disease (CVD); (ii) physical activity (PA); (iii) mobile-health (MH); and (iv) co-production (CP)
Source: Authors’ elaboration
Fig. 11Connections among subjects: towards co-production policies for CVD prevention through physical activity. Source: Authors’ elaboration