Evidence map›Paper›PMID 36901559›Full record

ReviewInternational journal of environmental research and public health2023

Lessons Learned from Natural Disasters around Digital Health Technologies and Delivering Quality Healthcare.

Zerina Lokmic-Tomkins, Dinesh Bhandari, Chris Bain, Ann Borda, Timothy Charles Kariotis, David Reser

Open access · goldFull text readReview
In one paragraph

Review in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
28.4field-weighted citation impact, top 1% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Pooled it
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  14. AI in humanitarian healthcare: a game changer for crisis response.Frontiers in artificial intelligence · 2025
    Review
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  18. The First Statewide Implementation of a Regional Disaster Teleconsultation System to Expand Critical Care Surge Capacity: A Case Study in Vermont.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    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

6 authors at 2 institutions in 2 countries.

Zerina Lokmic-TomkinsSchool of Nursing and Midwifery, Monash University, 35 Rainforest Walk, Clayton, Melbourne, VIC 3800, Australia.ORCID 0000-0003-0266-9536
Dinesh BhandariSchool of Nursing and Midwifery, Monash University, 35 Rainforest Walk, Clayton, Melbourne, VIC 3800, Australia.ORCID 0000-0002-0979-1406
Chris BainDigital Health Theme, Department of Human-Centered Computing, Faculty of Information Technology, Monash University, Melbourne, VIC 3800, Australia.
Ann BordaMelbourne Medical School, The University of Melbourne, Parkville, VIC 3010, Australia.ORCID 0000-0003-3884-2978
Timothy Charles KariotisSchool of Computing and Information System, The University of Melbourne, Melbourne, VIC 3010, Australia.ORCID 0000-0001-7190-7564
David ReserGraduate Entry Medicine Program, Monash Rural Health-Churchill, Churchill, VIC 3842, Australia.
Monash University · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As climate change drives increased intensity, duration and severity of weather-related events that can lead to natural disasters and mass casualties, innovative approaches are needed to develop climate-resilient healthcare systems that can deliver safe, quality healthcare under non-optimal conditions, especially in remote or underserved areas. Digital health technologies are touted as a potential contributor to healthcare climate change adaptation and mitigation, through improved access to healthcare, reduced inefficiencies, reduced costs, and increased portability of patient information. Under normal operating conditions, these systems are employed to deliver personalised healthcare and better patient and consumer involvement in their health and well-being. During the COVID-19 pandemic, digital health technologies were rapidly implemented on a mass scale in many settings to deliver healthcare in compliance with public health interventions, including lockdowns. However, the resilience and effectiveness of digital health technologies in the face of the increasing frequency and severity of natural disasters remain to be determined. In this review, using the mixed-methods review methodology, we seek to map what is known about digital health resilience in the context of natural disasters using case studies to demonstrate what works and what does not and to propose future directions to build climate-resilient digital health interventions.

Indexed as

COVID-19DisastersNatural DisastersCommunicable Disease ControlDelivery of Health CareHumansPandemicscitizen scienceclimate changedigital health technologyhealthcarenatural disasterresilience

Identifiers

PMID36901559
PMCPMC10001761
OpenAlexW4323317648

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read9
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.