Global mapping of interventions to improve the quality of life of patients with cardiovascular diseases during 1990–2018

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Abstract

Background

Cardiovascular diseases (CVDs) have been the global health problems that cause a substantial burden for the patients and the society. Assessing the Quality of Life (QOL) of CVD patients is critical in the effectiveness evaluation of CVD treatments as well as in determining potential areas for enhancing health outcomes. Through the adoption of a combination of bibliometric approach and content analysis, publications trend and the common topics regarding interventions to improve QOL of CVD patients were searched and characterized to inform priority setting and policy development.

Methods

Bibliographic data of publications published from 1990 to 2018 on interventions to improve QOL of CVD patients were retrieved from Web of Science. Network graphs illustrating the terms co-occurrence clusters were created by VOSviewer software. Latent Dirichlet Allocation approach was adopted to classify papers into major research topics.

Results

A total of 6457 papers was analyzed. We found a substantial increase in the number of publications, citations, and the number of download times of papers in the last 5 years. There has been a rise in the number of papers related to intervention to increase quality of life among patients with CVD during 1990–2018. Conventional therapies (surgery and medication), and psychological, behavioral interventions were common research topics. Meanwhile, the number of papers evaluating economic effectiveness has not been as high as that of other topics.

Conclusions

The research areas among the scientific studies emphasized the importance of interdisciplinary and inter-sectoral approaches in both evaluation and intervention. Future research should be a focus on economic evaluation of intervention as well as interventions to reduce mental issues among people with CVD.

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Most cited references 32

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Health related quality of life in patients with congestive heart failure: comparison with other chronic diseases and relation to functional variables.

A Haunstetter, Atahualpa Kraemer, C Zugck … (2002)

To assess health related quality of life of patients with congestive heart failure; to compare their quality of life with the previously characterised general population and in those with other chronic diseases; and to correlate the different aspects of quality of life with relevant somatic variables. University hospital. A German version of the generic quality of life measure (SF-36) containing eight dimensions was administered to 205 patients with congestive heart failure and systolic dysfunction. Cardiopulmonary evaluation included assessment of New York Heart Association (NYHA) functional class, left ventricular ejection fraction, peak oxygen uptake, and the distance covered during a standardised six minute walk test. Quality of life significantly decreased with NYHA functional class (linear trend: p < 0.0001). In NYHA class III, the scores of five of the eight quality of life domains were reduced to around one third of those in the general population. The pattern of reduction was different in patients with chronic hepatitis C and major depression, and similar in patients on chronic haemodialysis. Multiple regression analysis showed that only the NYHA functional class was consistently and closely associated with all quality of life scales. The six minute walk test and peak oxygen uptake added to the explanation of the variance in only one of the eight quality of life domains (physical functioning). Left ventricular ejection fraction, duration of disease, and age showed no clear association with quality of life. In congestive heart failure, quality of life decreases as NYHA functional class worsens. Though NYHA functional class was the most dominant predictor among the somatic variables studied, the major determinants of reduced quality of life remain unknown.

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Robot assisted training for the upper limb after stroke (RATULS): a multicentre randomised controlled trial

Helen Rodgers, Helen Bosomworth, Hermano Krebs … (2019)

Summary Background Loss of arm function is a common problem after stroke. Robot-assisted training might improve arm function and activities of daily living. We compared the clinical effectiveness of robot-assisted training using the MIT-Manus robotic gym with an enhanced upper limb therapy (EULT) programme based on repetitive functional task practice and with usual care. Methods RATULS was a pragmatic, multicentre, randomised controlled trial done at four UK centres. Stroke patients aged at least 18 years with moderate or severe upper limb functional limitation, between 1 week and 5 years after their first stroke, were randomly assigned (1:1:1) to receive robot-assisted training, EULT, or usual care. Robot-assisted training and EULT were provided for 45 min, three times per week for 12 weeks. Randomisation was internet-based using permuted block sequences. Treatment allocation was masked from outcome assessors but not from participants or therapists. The primary outcome was upper limb function success (defined using the Action Research Arm Test [ARAT]) at 3 months. Analyses were done on an intention-to-treat basis. This study is registered with the ISRCTN registry, number ISRCTN69371850. Findings Between April 14, 2014, and April 30, 2018, 770 participants were enrolled and randomly assigned to either robot-assisted training (n=257), EULT (n=259), or usual care (n=254). The primary outcome of ARAT success was achieved by 103 (44%) of 232 patients in the robot-assisted training group, 118 (50%) of 234 in the EULT group, and 85 (42%) of 203 in the usual care group. Compared with usual care, robot-assisted training (adjusted odds ratio [aOR] 1·17 [98·3% CI 0·70–1·96]) and EULT (aOR 1·51 [0·90–2·51]) did not improve upper limb function; the effects of robot-assisted training did not differ from EULT (aOR 0·78 [0·48–1·27]). More participants in the robot-assisted training group (39 [15%] of 257) and EULT group (33 [13%] of 259) had serious adverse events than in the usual care group (20 [8%] of 254), but none were attributable to the intervention. Interpretation Robot-assisted training and EULT did not improve upper limb function after stroke compared with usual care for patients with moderate or severe upper limb functional limitation. These results do not support the use of robot-assisted training as provided in this trial in routine clinical practice. Funding National Institute for Health Research Health Technology Assessment Programme.

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Prevention of cardiovascular diseases: Role of exercise, dietary interventions, obesity and smoking cessation.

Nivedita Ravi, N S Buttar, T. Li (2004)

Hypertension, myocardial infarction, atherosclerosis, arrhythmias and valvular heart disease, coagulopathies and stroke, collectively known as cardiovascular diseases (CVDs), contribute greatly to the mortality, morbidity and economic burden of illness in Canada and in other countries. It has been estimated that over four million Canadians have high blood pressure, a comorbid condition that doubles or triples the risk of CVD. According to the Heart and Stroke Foundation of Canada, CVDs caused 36% of deaths in 2001 and were responsible for 18% of the total hospital costs in Canada. The majority of Canadians exhibit at least one CVD-related risk factor, such as tobacco smoking, physical inactivity, diabetes, obesity, hypertension, a lack of daily fruit and vegetable consumption, and psychosocial factors, making these people more prone to developing a serious CVD-related illness in the future. It is therefore important that CVD-related causes and concerns be addressed. Given the scope and prevalence of CVDs, it is obvious that a population health approach - 'prevention is better than cure' - would be the most appropriate model to adopt to deal with this ubiquitous health problem and to reduce the costs of hospitalization, long-term medication and rehabilitation. The focus of the present review is to evaluate and compare the results of epidemiological, experimental and clinical studies, reporting on the influence of physical activity, dietary intervention, obesity and cigarette smoking on cardiovascular health and the prevention of CVDs. The prophylactic measures must be dealt with collectively because there is overwhelming evidence that the occurrence of CVDs can be reduced by approximately 80% by making lifestyle modifications. The preventive strategies against CVDs must be targeted at a primary health promotion level before some of the important underlying causes of CVD seriously afflict a person or a population at large. Such preventive approaches would help in reducing not only employee absenteeism but also the hospital and drug costs burdening the health care systems of both developed and developing countries.

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Author and article information

Contributors

Bach Xuan Tran:

ORCID: http://orcid.org/0000-0003-3498-8224

bach.ipmph@gmail.com

Son Nghiem: s.nghiem@griffith.edu.au

Clifford Afoakwah: c.afoakwah@griffith.edu.au

Giang Hai Ha: hahaigiang@duytan.edu.vn

Linh Phuong Doan: linh91.coentt@gmail.com

Thao Phuong Nguyen: thao.coentt@gmail.com

Tuan Thanh Le: thanhle.vtm@gmail.com

Carl A. Latkin: carl.latkin@jhu.edu

Cyrus S. H. Ho: cyrushosh@gmail.com

Roger C. M. Ho: pcmrhcm@nus.edu.sg

Journal

Journal ID (nlm-ta): Health Qual Life Outcomes

Journal ID (iso-abbrev): Health Qual Life Outcomes

Title: Health and Quality of Life Outcomes

Publisher: BioMed Central (London )

ISSN (Electronic): 1477-7525

Publication date (Electronic): 29 July 2020

Publication date PMC-release: 29 July 2020

Publication date Collection: 2020

Volume: 18

Electronic Location Identifier: 254

Affiliations

[1 ]GRID grid.56046.31, ISNI 0000 0004 0642 8489, Department of Health Economics, , Institute for Preventive Medicine and Public Health, Hanoi Medical University, ; No.1 Ton That Tung street, Dong Da, Hanoi, Vietnam

[2 ]GRID grid.21107.35, ISNI 0000 0001 2171 9311, Bloomberg School of Public Health, , Johns Hopkins University, ; Baltimore, MD USA

[3 ]GRID grid.1022.1, ISNI 0000 0004 0437 5432, Centre for Applied Health Economics (CAHE), , Griffith University, ; Brisbane, Australia

[4 ]GRID grid.444918.4, ISNI 0000 0004 1794 7022, Institute for Global Health Innovations, Duy Tan University, ; Da Nang, Vietnam

[5 ]GRID grid.473736.2, ISNI 0000 0004 4659 3737, Center of Excellence in Evidence-based Medicine, , Nguyen Tat Thanh University, ; Ho Chi Minh City, Vietnam

[6 ]GRID grid.473736.2, ISNI 0000 0004 4659 3737, Center of Excellence in Behavioral Medicine, , Nguyen Tat Thanh University, ; Ho Chi Minh City, Vietnam

[7 ]GRID grid.414163.5, ISNI 0000 0004 4691 4377, Echo-lab, , Vietnam National Heart Institute, Bach Mai Hospital, ; Hanoi, Vietnam

[8 ]GRID grid.412106.0, ISNI 0000 0004 0621 9599, Department of Psychological Medicine, , National University Hospital, ; Singapore, Singapore

[9 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, Department of Psychological Medicine, , Yong Loo Lin School of Medicine, National University of Singapore, ; Singapore, Singapore

[10 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, ; Singapore, Singapore

Author information

Bach Xuan Tran http://orcid.org/0000-0003-3498-8224

Article

Publisher ID: 1507

DOI: 10.1186/s12955-020-01507-9

PMC ID: 7391613

PubMed ID: 32727479

SO-VID: cf9b8b23-bf2f-419b-bcb4-3bae5f15c917

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 3 August 2019

Date accepted : 22 July 2020

Custom metadata

ScienceOpen disciplines: Health & Social care

Keywords: scientometrics,content analysis,text mining,interventions,cvd,qol,global,mapping

Data availability:

ScienceOpen disciplines: Health & Social care

Keywords: scientometrics, content analysis, text mining, interventions, cvd, qol, global, mapping

Global mapping of interventions to improve the quality of life of patients with cardiovascular diseases during 1990–2018

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Abstract

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Most cited references 32

Health related quality of life in patients with congestive heart failure: comparison with other chronic diseases and relation to functional variables.

Robot assisted training for the upper limb after stroke (RATULS): a multicentre randomised controlled trial

Prevention of cardiovascular diseases: Role of exercise, dietary interventions, obesity and smoking cessation.

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