Evidence map›Paper›PMID 34399879›Full record

ArticleDisaster medicine and public health preparedness2022

Comparing Primary Health-Care Service Delivery Disruptions Across Disasters.

Tiffany A Radcliff, Karen Chu, Claudia Der-Martirosian, Aram Dobalian

Abstract read
In one paragraph

Article in Disaster medicine and public health preparedness, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
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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

4 authors.

Tiffany A RadcliffVeterans Emergency Management Evaluation Center (VEMEC), U.S. Department of Veterans Affairs, North Hills, California, USA.ORCID 0000-0003-4482-8056
Karen ChuVeterans Emergency Management Evaluation Center (VEMEC), U.S. Department of Veterans Affairs, North Hills, California, USA.
Claudia Der-MartirosianVeterans Emergency Management Evaluation Center (VEMEC), U.S. Department of Veterans Affairs, North Hills, California, USA.
Aram DobalianVeterans Emergency Management Evaluation Center (VEMEC), U.S. Department of Veterans Affairs, North Hills, California, USA.

Funding

Intramural VA VA999999
6 · The paper itself

Abstract

objectiveThe aim of this study was to compare primary care appointment disruptions around Hurricanes Ike (2008) and Harvey (2017) and identify patterns that indicate differing continuity of primary care or care systems across events.

methodsPrimary care appointment records covering 5 wk before and after each storm were identified for Veterans Health Affairs (VA) facilities in the greater Houston and surrounding areas and a comparison group of VA facilities located elsewhere. Appointment disposition percentages were compared within and across storm events to assess care disruptions.

resultsFor Hurricane Harvey, 14% of primary care appointments were completed during the week of landfall (vs 33% for Hurricane Ike and 69% in comparison clinics), and 49% were completed the following week (vs 58% for Hurricane Ike and 71% for comparison clinics). By the second week after Hurricane Ike and third week after Harvey, the scheduled appointment completion percentage returned to prestorm levels of approximately 60%.

conclusionsThere were greater and more persistent care disruptions for Hurricane Harvey relative to Hurricane Ike. As catastrophic emergencies including major natural disasters and infectious disease pandemics become a more recognized threat to primary and preventive care delivery, health-care systems should consider implementing strategies to monitor and ensure primary care appointment continuity.

Indexed as

Cyclonic StormsDisastersNatural DisastersHumansTexasambulatory caredisastersdisruptionshurricanesveterans

Identifiers

PMID34399879
PMCPMC8850416

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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.