Evidence map›Paper›PMID 37923904›Full record

ArticleCommunications medicine2023

Revealed versus potential spatial accessibility of healthcare and changing patterns during the COVID-19 pandemic.

Kristina Gligorić, Chaitanya Kamath, Daniel J Weiss, Shailesh Bavadekar, Yun Liu, Tomer Shekel, Kevin Schulman, Evgeniy Gabrilovich

Abstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Changes in driving distance to specialist physicians in the era of virtual care: a population-based cohort study in Ontario, Canada.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. 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

8 authors.

Kristina Gligorić *Google Research, Mountain View, CA, USA.ORCID http://orcid.org/0000-0001-8726-740X
Chaitanya Kamath *Google Research, Mountain View, CA, USA.
Daniel J Weiss *Telethon Kids Institute, Perth Children's Hospital, Nedlands, WA, Australia.ORCID http://orcid.org/0000-0002-6175-5648
Shailesh BavadekarGoogle Research, Mountain View, CA, USA.
Yun LiuGoogle Research, Mountain View, CA, USA.ORCID http://orcid.org/0000-0003-4079-8275
Tomer ShekelGoogle Research, Mountain View, CA, USA.
Kevin SchulmanClinical Excellence Research Center, School of Medicine and Graduate School of Business, Stanford University, Stanford, CA, USA.
Evgeniy GabrilovichGoogle Research, Mountain View, CA, USA. gabr@acm.org.ORCID http://orcid.org/0000-0001-7933-1926

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTimely access to healthcare is essential but measuring access is challenging. Prior research focused on analyzing potential travel times to healthcare under optimal mobility scenarios that do not incorporate direct observations of human mobility, potentially underestimating the barriers to receiving care for many populations.

methodsWe introduce an approach for measuring accessibility by utilizing travel times to healthcare facilities from aggregated and anonymized smartphone Location History data. We measure these revealed travel times to healthcare facilities in over 100 countries and juxtapose our findings with potential (optimal) travel times estimated using Google Maps directions. We then quantify changes in revealed accessibility associated with the COVID-19 pandemic.

resultsWe find that revealed travel time differs substantially from potential travel time; in all but 4 countries this difference exceeds 30 minutes, and in 49 countries it exceeds 60 minutes. Substantial variation in revealed healthcare accessibility is observed and correlates with life expectancy (⍴=-0.70) and infant mortality (⍴=0.59), with this association remaining significant after adjusting for potential accessibility and wealth. The COVID-19 pandemic altered the patterns of healthcare access, especially for populations dependent on public transportation.

conclusionsOur metrics based on empirical data indicate that revealed travel times exceed potential travel times in many regions. During COVID-19, inequitable accessibility was exacerbated. In conjunction with other relevant data, these findings provide a resource to help public health policymakers identify underserved populations and promote health equity by formulating policies and directing resources towards areas and populations most in need.

Identifiers

PMID37923904
PMCPMC10624905

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.