IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i18p6889-d416634.html
   My bibliography  Save this article

Quality of Life Changes in Acute Coronary Syndromes Patients: A Systematic Review and Meta-Analysis

Author

Listed:
  • Billingsley Kaambwa

    (College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
    Joint first authors.)

  • Hailay Abrha Gesesew

    (College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
    Epidemiology, College of Health Sciences, Mekelle University, Mekelle 231, Ethiopia
    Joint first authors.)

  • Matthew Horsfall

    (College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia)

  • Derek Chew

    (College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia)

Abstract

There is little up-to-date evidence about changes in quality of life following treatment for acute coronary syndrome (ACS) patients. The main aim of this review was to assess the changes in QoL in ACS patients after treatment. We undertook a systematic review and meta-analysis of quantitative studies. The search included studies that described the change of QoL of ACS patients after receiving treatment options such as percutaneous coronary intervention (PCI), coronary artery bypass grafting (CABG) and medical therapy (MT). We synthesized findings using content analysis and pooled the estimates using meta-analysis. We used the PRISMA guidelines to select and appraise the studies and report the findings. Twenty-nine (29) articles were included in the review. We found a significant improvement of QoL in ACS patients after receiving treatment. Particularly, the meta-analytic association found that the mean QoL of patients diagnosed with ACS was higher after receiving treatment compared to baseline (overall pooled mean difference = 31.88; 95% CI = 31.64–52.11, I 2 = 98) with patients on PCI having slightly lower QoL gains (pooled mean difference = 30.22; 95% CI = 29.9–30.53, I 2 = 0%) compared to those on CABG (pooled mean difference = 34.01; 95% CI = 33.66–34.37, I 2 = 0%). The review confirmed that QoL of ACS patients improved after receiving treatment therapies although varied by the treatment options and patients’ preferences. This suggests the need to perform further study on the QoL, patient preferences and physicians’ decision to prescription of treatment options.

Suggested Citation

  • Billingsley Kaambwa & Hailay Abrha Gesesew & Matthew Horsfall & Derek Chew, 2020. "Quality of Life Changes in Acute Coronary Syndromes Patients: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 17(18), pages 1-28, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6889-:d:416634
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/18/6889/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/18/6889/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Brazier & Yaling Yang & Aki Tsuchiya & Donna Rowen, 2010. "A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 215-225, April.
    2. Milad Karimi & John Brazier, 2016. "Health, Health-Related Quality of Life, and Quality of Life: What is the Difference?," PharmacoEconomics, Springer, vol. 34(7), pages 645-649, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luqiao Wang & Yunke Shi & Zhao Hu & Yanyan Li & Yan Ang & Pan Jing & Bangying Zhang & Xingyu Cao & Adrian Loerbroks & Jian Li & Min Zhang, 2022. "Longitudinal Associations of Work Stress with Changes in Quality of Life among Patients after Acute Coronary Syndrome: A Hospital-Based Study," IJERPH, MDPI, vol. 19(24), pages 1-12, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeff Round & Mike Paulden, 2018. "Incorporating equity in economic evaluations: a multi-attribute equity state approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(4), pages 489-498, May.
    2. Octavio Pano & Carmen Sayón-Orea & Alfredo Gea & Maira Bes-Rastrollo & Miguel Ángel Martínez-González & J. Alfredo Martínez, 2020. "Nutritional Determinants of Quality of Life in a Mediterranean Cohort: The SUN Study," IJERPH, MDPI, vol. 17(11), pages 1-17, May.
    3. Suparb Aree‐Ue & Usa Kongsombun & Inthira Roopsawang & Phichpraorn Youngcharoen, 2019. "Path model of factors influencing health‐related quality of life among older people with knee osteoarthritis," Nursing & Health Sciences, John Wiley & Sons, vol. 21(3), pages 345-351, September.
    4. Cubi-Molla, P. & De Vries, J. & Devlin, N., 2013. "A Study of the Relationship Between Health and Subjective Well-being in Parkinson’s Disease Patients," Working Papers 13/12, Department of Economics, City University London.
    5. Zhongliang Zhou & Yu Fang & Zhiying Zhou & Dan Li & Dan Wang & Yanli Li & Li Lu & Jianmin Gao & Gang Chen, 2017. "Assessing Income-Related Health Inequality and Horizontal Inequity in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 241-256, May.
    6. Mona Aghdaee & Bonny Parkinson & Kompal Sinha & Yuanyuan Gu & Rajan Sharma & Emma Olin & Henry Cutler, 2022. "An examination of machine learning to map non‐preference based patient reported outcome measures to health state utility values," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1525-1557, August.
    7. Marc Audi & Amjad Ali, 2023. "The Role of Environmental Conditions and Purchasing Power Parity in Determining Quality of Life among Big Asian Cities," International Journal of Energy Economics and Policy, Econjournals, vol. 13(3), pages 292-305, May.
    8. María Dolores Ruiz-Fernández & Ángela María Ortega-Galán & Cayetano Fernández-Sola & José Manuel Hernández-Padilla & José Granero-Molina & Juan Diego Ramos-Pichardo, 2020. "Occupational Factors Associated with Health-Related Quality of Life in Nursing Professionals: A Multi-Centre Study," IJERPH, MDPI, vol. 17(3), pages 1-12, February.
    9. Chris Sampson;Martina Garau, 2019. "How Should We Measure Quality of Life Impact in Rare Disease? Recent Learnings in Spinal Muscular Atrophy," Briefing 002146, Office of Health Economics.
    10. Tessa Peasgood & Jill Carlton & John Brazier, 2019. "A Qualitative Study of the Views of Health and Social Care Decision-Makers on the Role of Wellbeing in Resource Allocation Decisions in the UK," Economies, MDPI, vol. 7(1), pages 1-13, February.
    11. Irene Fernández & Noemí Sansó & José M. Tomás, 2024. "A Longitudinal Study of the Effect of Memory on the Quality of life of European Adults and Older Adults," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 19(4), pages 1859-1876, August.
    12. Krishnakumar Thankappan & Tejal Patel & Krishna Kollamparambil Ajithkumar & Deepak Balasubramanian & Manu Raj & Sujha Subramanian & Subramania Iyer, 2022. "Mapping of head and neck cancer patient concerns inventory scores on to Euroqol-Five Dimensions-Five Levels (EQ-5D-5L) health utility scores," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 225-235, March.
    13. Andrés A. Agudelo-Suárez & Annie M. Vivares-Builes & Natalia Muñoz-Pino & José Miguel Martínez-Martínez & Alison Reid & Elena Ronda-Pérez, 2019. "Oral Health-Related Quality of Life in Native and Immigrant Populations in the PELFI Study in Spain," IJERPH, MDPI, vol. 16(10), pages 1-14, May.
    14. Wijnen, Ben F.M. & Mosweu, Iris & Majoie, Marian H.J.M. & Ridsdale, Leone & de Kinderen, Reina J.A. & Evers, Silvia M.A.A. & McCrone, Paul, 2018. "A comparison of the responsiveness of EQ-5D-5L and the QOLIE-31P and mapping of QOLIE-31P to EQ-5D-5L in epilepsy," LSE Research Online Documents on Economics 106170, London School of Economics and Political Science, LSE Library.
    15. Sollis, Kate & Yap, Mandy & Campbell, Paul & Biddle, Nicholas, 2022. "Conceptualisations of wellbeing and quality of life: A systematic review of participatory studies," World Development, Elsevier, vol. 160(C).
    16. Abraham G. Welie & Elly Stolk & Clara Mukuria & Yared Belete Belay & Murray D. Krahn & Beate Sander & Gebremedhin Beedemariam Gebretekle, 2022. "Reliability and validity of using EQ-5D-5L among healthy and adolescents with major mental health disorders in Ethiopia," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1105-1119, September.
    17. Asrul Akmal Shafie & Irwinder Kaur Chhabra & Jacqueline Hui Yi Wong & Noor Syahireen Mohammed, 2021. "Mapping PedsQL™ Generic Core Scales to EQ-5D-3L utility scores in transfusion-dependent thalassemia patients," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(5), pages 735-747, July.
    18. Binyu Liu & Ye Chen & Meng Xiao, 2020. "The Social Utility and Health Benefits for Older Adults of Amenity Buildings in China’s Urban Parks: A Nanjing Case Study," IJERPH, MDPI, vol. 17(20), pages 1-26, October.
    19. Ana Sofia Oliveira Gonçalves & Dimitra Panteli & Lars Neeb & Tobias Kurth & Annette Aigner, 2022. "HIT-6 and EQ-5D-5L in patients with migraine: assessment of common latent constructs and development of a mapping algorithm," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(1), pages 47-57, February.
    20. Andrea Higuera-Gómez & Rosa Ribot-Rodríguez & Victor Micó & Amanda Cuevas-Sierra & Rodrigo San Cristóbal & Jose Alfredo Martínez, 2022. "Lifestyle and Health-Related Quality of Life Relationships Concerning Metabolic Disease Phenotypes on the Nutrimdea Online Cohort," IJERPH, MDPI, vol. 20(1), pages 1-19, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6889-:d:416634. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.