Literature DB >> 32372270

Three further ways that the COVID-19 pandemic will affect health outcomes.

Johnathan Watkins1, Wahyu Wulaningsih2,3.   

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Year:  2020        PMID: 32372270      PMCID: PMC7199867          DOI: 10.1007/s00038-020-01383-6

Source DB:  PubMed          Journal:  Int J Public Health        ISSN: 1661-8556            Impact factor:   3.380


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The COVID-19 pandemic represents an unprecedented challenge. Policy makers, the medical and research community, as well as the wider public have rightly focussed on the deaths caused by the virus. However, we believe there are three further ways in which this pandemic will affect mortality rates around the world. First, there is the likely mortality rise during the pandemic as health system resources are diverted to helping COVID-19 patients. Interruptions to planned care (e.g. for cancer) and even to non-elective care are likely to cause a modest but significant spike in non-COVID-19-related deaths. For example, one study showed that most head and neck cancers double in size within 1–3 months (Jensen et al. 2007). Delays to screening or management are likely to generate a much higher caseload of late-stage disease. Second, there is the effect of the ensuing recession, characterised by potentially record levels of unemployment in many countries. In general, health outcomes improve during recessions, mostly driven by fewer cardiovascular-related deaths possibly as a result of more active lifestyles (Strumpf et al. 2017). On the other hand, some disease outcomes worsen, such as suicides (Reeves et al. 2012) and treatable cancers in countries without universal health coverage (Maruthappu et al. 2016). In this recession though, the pandemic-enforced home isolation could mean that the aforementioned cardiovascular benefits do not materialise, leading to a net rise in mortality rates. Finally, there is the consequence of the economic response. If countries respond with austerity measures that lead to a real-terms decline in public health and social care spending, we could see hundreds of thousands of ‘excess’ deaths or more. Our work and that of others have shown that reducing spending without gains in health system efficiency is associated with poor outcomes across all disease areas (Watkins et al. 2017). To mitigate the negative effects of the first and second points, governments should start defining strategies on when and how to safely exit from lockdown measures as soon as possible. Health system capacity along with the number of new cases and hospitalisations over time, and the emergence of new pharmaceutical interventions are critical inputs to an exit strategy. There are at least three benefits to making plans for an exit strategy now. First, it returns focus on the system capacity measures and pharmaceutical interventions that can save lives independent of non-pharmaceutical demand management measures. Second, it gives visibility to government departments and other organisations on what needs to be put into place for a successful recovery once measures are lifted. Finally, it generates public confidence in policy makers possibly improving adherence to ongoing demand management measures. To address the economic response challenge, governments need to be prepared to maintain health and care spending in line with demand. Avoiding austerity through increased borrowing or reallocating of budgets is merely a couple of the mechanisms by which such spending objectives could be achieved. In summary, therefore, the number of lives lost due to COVID-19 has the potential to be dwarfed by the number of lives lost as a result of these three knock-on effects of the pandemic. Governments can prevent or mitigate this effect by: (1) planning and communicating an exit strategy early to avoid needlessly protracted lockdowns and/or ill-prepared exits and (2) seeking to maintain public health and social care spending levels.
  5 in total

1.  Did the Great Recession affect mortality rates in the metropolitan United States? Effects on mortality by age, gender and cause of death.

Authors:  Erin C Strumpf; Thomas J Charters; Sam Harper; Arijit Nandi
Journal:  Soc Sci Med       Date:  2017-07-21       Impact factor: 4.634

2.  Increase in state suicide rates in the USA during economic recession.

Authors:  Aaron Reeves; David Stuckler; Martin McKee; David Gunnell; Shu-Sen Chang; Sanjay Basu
Journal:  Lancet       Date:  2012-11-06       Impact factor: 79.321

3.  Tumor progression in waiting time for radiotherapy in head and neck cancer.

Authors:  Anni Ravnsbaek Jensen; Hanne Marie Nellemann; Jens Overgaard
Journal:  Radiother Oncol       Date:  2007-05-09       Impact factor: 6.280

4.  Effects of health and social care spending constraints on mortality in England: a time trend analysis.

Authors:  Johnathan Watkins; Wahyu Wulaningsih; Charlie Da Zhou; Dominic C Marshall; Guia D C Sylianteng; Phyllis G Dela Rosa; Viveka A Miguel; Rosalind Raine; Lawrence P King; Mahiben Maruthappu
Journal:  BMJ Open       Date:  2017-11-15       Impact factor: 2.692

5.  Economic downturns, universal health coverage, and cancer mortality in high-income and middle-income countries, 1990-2010: a longitudinal analysis.

Authors:  Mahiben Maruthappu; Johnathan Watkins; Aisyah Mohd Noor; Callum Williams; Raghib Ali; Richard Sullivan; Thomas Zeltner; Rifat Atun
Journal:  Lancet       Date:  2016-05-25       Impact factor: 79.321

  5 in total
  4 in total

1.  Impact of COVID-19 on cancer care in India: a cohort study.

Authors:  Priya Ranganathan; Manju Sengar; Girish Chinnaswamy; Gaurav Agrawal; Rajkumar Arumugham; Rajiv Bhatt; Ramesh Bilimagga; Jayanta Chakrabarti; Arun Chandrasekharan; Harit Kumar Chaturvedi; Rajiv Choudhrie; Mitali Dandekar; Ashok Das; Vineeta Goel; Caleb Harris; Sujai Kolnadguthu Hegde; Narendra Hulikal; Deepa Joseph; Rajesh Kantharia; Azizullah Khan; Rohan Kharde; Navin Khattry; Maqbool M Lone; Umesh Mahantshetty; Hemant Malhotra; Hari Menon; Deepti Mishra; Rekha A Nair; Shashank J Pandya; Nidhi Patni; Jeremy Pautu; Simon Pavamani; Satyajit Pradhan; Subramanyeshwar Rao Thammineedi; G Selvaluxmy; Krishna Sharan; B K Sharma; Jayesh Sharma; Suresh Singh; Gowtham Chandra Srungavarapu; R Subramaniam; Rajendra Toprani; Ramanan Venkat Raman; Rajendra Achyut Badwe; C S Pramesh
Journal:  Lancet Oncol       Date:  2021-05-27       Impact factor: 41.316

2.  Economic and Social Interactions in Business Students during COVID-19 Confinement: Relationship with Sleep Disturbance.

Authors:  Inmaculada Jimeno García; Anne Marie Garvey
Journal:  Behav Sci (Basel)       Date:  2022-04-09

3.  Population perspective comparing COVID-19 to all and common causes of death during the first wave of the pandemic in seven European countries.

Authors:  Bayanne Olabi; Jayshree Bagaria; Sunil S Bhopal; Gwenetta D Curry; Nazmy Villarroel; Raj Bhopal
Journal:  Public Health Pract (Oxf)       Date:  2021-01-15

4.  Associations of Underlying Health Conditions With Anxiety and Depression Among Outpatients: Modification Effects of Suspected COVID-19 Symptoms, Health-Related and Preventive Behaviors.

Authors:  Minh H Nguyen; Thu T M Pham; Linh V Pham; Dung T Phan; Tien V Tran; Hoang C Nguyen; Huu C Nguyen; Tung H Ha; Hung K Dao; Phuoc B Nguyen; Manh V Trinh; Thinh V Do; Hung Q Nguyen; Thao T P Nguyen; Nhan P T Nguyen; Cuong Q Tran; Khanh V Tran; Trang T Duong; Tan T Nguyen; Khue M Pham; Lam V Nguyen; Tam T Vo; Binh N Do; Nga H Dang; Thuy T Le; Ngoc T Do; Hoai T T Nguyen; Thuy T T Mai; Dung T Ha; Huong T M Ngo; Kien T Nguyen; Chyi-Huey Bai; Tuyen Van Duong
Journal:  Int J Public Health       Date:  2021-06-23       Impact factor: 3.380

  4 in total

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