Evidence map›Paper›PMID 39190909›Full record

ArticleJMIR formative research2024

Impact of COVID-19 on Characteristics and Funding of U.S. Healthcare Startups: Retrospective Review.

Smitha Ganeshan, Joshua Goldstein, Young-Jin Sohn, Amie Pollack, Russell S Phillips, Lisa Rotenstein

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Smitha GaneshanDivision of Hospital Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0003-3868-6813
Joshua GoldsteinTufts University School of Medicine, Boston, MA, United States.ORCID 0009-0000-1428-1980
Young-Jin SohnCenter for Primary Care, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-6336-3827
Amie PollackCenter for Primary Care, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-9175-8321
Russell S PhillipsCenter for Primary Care, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-7281-7154
Lisa RotensteinDivision of Clinical Informatics and Digital Transformation, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-8270-7602

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rise of telehealth and telemedicine during the pandemic allowed patients and providers to develop a sense of comfort with telehealth, which may have increased the demand for virtual-first care solutions with spillover effects into venture capital funding.

objectiveWe aimed to understand the size and type of digital health investments occurring in the prepandemic and pandemic periods.

methodsWe examined health care companies founded from March 14, 2019, to March 14, 2020 (prepandemic) versus those founded from March 15, 2020, to March 14, 2022, after pandemic onset. Data were obtained from Crunchbase, a publicly available database that catalogs information about venture capital investments for companies. We also compared companies founded prepandemic to those founded after the first year of the pandemic (pandemic steady-state). We performed a Wilcoxon rank sum test to compare median funding amounts. We compared the 2 groups of companies according to the type of funding round raised, geography, health care subcategory, total amount of funding per year since founding, and number of founders.

resultsThere were 2714 and 2218 companies founded prepandemic and during the pandemic, respectively. The companies were similarly distributed across geographies in the prepandemic and pandemic periods (P=.46) with no significant differences in the number of founders (P=.32). There was a significant difference in total funding per year since founding between prepandemic and pandemic companies (US $10.8 million vs US $20.9 million; P<.001). The distribution of funding rounds differed significantly for companies founded in prepandemic and pandemic periods (P<.001). On excluding data from the first year of the pandemic, there were 581 companies founded in the pandemic steady-state period from March 14, 2021, to March 14, 2022. Companies founded prepandemic had a significantly greater mean number of founders than those founded during the pandemic (P=.02). There was no significant difference in total funding per year since founding between prepandemic and steady-state pandemic companies (US $10.8 million vs US $14.4 million; P=.34). The most common types of health care companies included wellness, biotech/biopharma, and software companies. Distributions of companies across health care subcategories were not significantly different before and during the pandemic. However, significant differences were identified when data from the first year of the pandemic were excluded (P<.001). Companies founded during the steady-state pandemic period were significantly more likely to be classified as artificial intelligence (7.3% vs 4.7%; P=.005), software (17.3% vs 12.7%; P=.002), and insurance (3.3% vs 1.7%; P=.003), and were significantly less likely to be classified as health care diagnostics (2.4% vs 5.1%; P=.002).

conclusionsWe demonstrate no significant changes in the types of health care companies founded before versus during the pandemic, although significant differences emerge when comparing prepandemic companies to those founded after the first year of the pandemic.

Indexed as

Capital FinancingCOVID-19Delivery of Health CarePandemicsRetrospective StudiesTelemedicineUnited StatesAIartificial intelligencecoronavirusCOVID-19digital healthhealth carehealth care startuppandemicpatientsretrospective studytelehealthtelemedicineventure capital

Identifiers

PMID39190909
PMCPMC11387907

What OpenQuestion holds

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Registered trials

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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.