Evidence map›Paper›PMID 32945845›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Clinical Impact, Costs, and Cost-effectiveness of Expanded Severe Acute Respiratory Syndrome Coronavirus 2 Testing in Massachusetts.

Anne M Neilan, Elena Losina, Audrey C Bangs, Clare Flanagan, Christopher Panella, G Ege Eskibozkurt, Amir Mohareb, Emily P Hyle, Justine A Scott, Milton C Weinstein and 7 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Cost-Effectiveness of COVID-19 Policy Measures: A Systematic Review.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
    Pooled it
  6. Economic evaluation of programs against COVID-19: A systematic review.International journal of surgery (London, England) · 2021
    Pooled it
  7. Trial
  8. Economic evaluation of wastewater surveillance in Ontario, Canada, using COVID-19 as a case study.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Observational
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Anne M NeilanDivision of General Academic Pediatrics, Department of Pediatrics, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0001-7915-4974
Elena LosinaHarvard Medical School, Boston, Massachusetts, USA.
Audrey C BangsMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Clare FlanaganMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Christopher PanellaMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
G Ege EskibozkurtMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Amir MoharebDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Emily P HyleDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Justine A ScottMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Milton C WeinsteinDepartment of Health Policy and Management, Harvard T. H. Chan School of Public Health , Boston, Massachusetts, USA.
Mark J SiednerDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Krishna P ReddyMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Guy HarlingAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Kenneth A FreedbergDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Fatma M SheblMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Pooyan KazemianMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, USA.
Andrea L CiaranelloDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.

Funding

Optimizing HIV Care in Less Developed CountriesR01AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Emily Parker Hyle · 2004 to 2026
$21.5M
Development and application of a new simulation model for COVID-19R01AI042006 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Anne Neilan · 1998 to 2026
$12.9M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Optimizing HIV Care in Less Developed CountriesR37AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI FREEDBERG, KENNETH ALAN · 2018 to 2024
$6.6M
Diagnosing and preventing HIV infection in adolescents and young adults in the US: clinical impact and cost-effectivenessK08HD094638 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI NEILAN, ANNE · 2018 to 2023
$936k
NIAID NIH HHS R01 AI042006NIAID NIH HHS R01 AI058736NIAID NIH HHS T32 AI007433NICHD NIH HHS K08 HD094638Wellcome Trust 210479/Z/18/Z
6 · The paper itself

Abstract

backgroundWe projected the clinical and economic impact of alternative testing strategies on coronavirus disease 2019 (COVID-19) incidence and mortality in Massachusetts using a microsimulation model.

methodsWe compared 4 testing strategies: (1) hospitalized: polymerase chain reaction (PCR) testing only for patients with severe/critical symptoms warranting hospitalization; (2) symptomatic: PCR for any COVID-19-consistent symptoms, with self-isolation if positive; (3) symptomatic + asymptomatic once: symptomatic and 1-time PCR for the entire population; and (4) symptomatic + asymptomatic monthly: symptomatic with monthly retesting for the entire population. We examined effective reproduction numbers (Re = 0.9-2.0) at which policy conclusions would change. We assumed homogeneous mixing among the Massachusetts population (excluding those residing in long-term care facilities). We used published data on disease progression and mortality, transmission, PCR sensitivity/specificity (70%/100%), and costs. Model-projected outcomes included infections, deaths, tests performed, hospital-days, and costs over 180 days, as well as incremental cost-effectiveness ratios (ICERs, $/quality-adjusted life-year [QALY]).

resultsAt Re = 0.9, symptomatic + asymptomatic monthly vs hospitalized resulted in a 64% reduction in infections and a 46% reduction in deaths, but required >66-fold more tests/day with 5-fold higher costs. Symptomatic + asymptomatic monthly had an ICER <$100 000/QALY only when Re ≥1.6; when test cost was ≤$3, every 14-day testing was cost-effective at all Re examined.

conclusionsTesting people with any COVID-19-consistent symptoms would be cost-saving compared to testing only those whose symptoms warrant hospital care. Expanding PCR testing to asymptomatic people would decrease infections, deaths, and hospitalizations. Despite modest sensitivity, low-cost, repeat screening of the entire population could be cost-effective in all epidemic settings.

Indexed as

cost-effectiveCOVID-19PCRSARS-CoV-2testing

Identifiers

PMID32945845
PMCPMC7543346

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.