Evidence map›Paper›PMID 37615720›Full record

ArticleThe European journal of general practice2023

SERIES: eHealth in primary care. Part 6: Global perspectives: Learning from eHealth for low-resource primary care settings and across high-, middle- and low-income countries.

Margot Rakers, Steven van de Vijver, Paz Bossio, Nic Moens, Michiel Rauws, Millicent Orera, Hongxia Shen, Cynthia Hallensleben, Evelyn Brakema, Nick Guldemond and 2 more

Open access · goldAbstract read
In one paragraph

Article in The European journal of general practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
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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

12 authors at 6 institutions in 5 countries.

Margot RakersDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands.ORCID 0000-0001-8233-1150
Steven van de VijverAmsterdam Health & Technology Institute, Amsterdam, the Netherlands.ORCID 0000-0002-9174-7737
Paz BossioUniversidad Nacional de Jujuy, San Salvador de Jujuy, Argentina.ORCID 0000-0002-2324-6148
Nic MoensAfrica eHealth Foundation, Veenendaal, the Netherlands.ORCID 0009-0000-2720-102X
Michiel RauwsCass, San Francisco, CA, USA.ORCID 0000-0002-5931-7702
Millicent OreraPharmAccess Foundation, Amsterdam, the Netherlands.
Hongxia ShenDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands.ORCID 0000-0002-0601-4708
Cynthia HallenslebenDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands.ORCID 0000-0003-3881-5419
Evelyn BrakemaDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands.ORCID 0000-0002-7376-4648
Nick GuldemondSechenov University Moskva, Moskva, Russia.ORCID 0000-0002-4909-2220
Niels H ChavannesDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands.ORCID 0000-0002-8607-9199
María Villalobos-QuesadaDepartment of Public Health and Primary Care, Leiden University Medical Centre, Leiden, the Netherlands.ORCID 0000-0003-4930-1982
Leiden University · NLAmsterdam health & technology instituteCenter for Anti-Slavery Studies · USNational University of Jujuy · ARPharmAccess Group · NLSechenov University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundeHealth offers opportunities to improve health and healthcare systems and overcome primary care challenges in low-resource settings (LRS). LRS has been typically associated with low- and middle-income countries (LMIC), but they can be found in high-income countries (HIC) when human, physical or financial resources are constrained. Adopting a concept of LRS that applies to LMIC and HIC can facilitate knowledge interchange between eHealth initiatives while improving healthcare provision for socioeconomically disadvantaged groups across the globe.

objectivesTo outline the contributions and challenges of eHealth in low-resource primary care settings. STRATEGY: We adopt a socio-ecological understanding of LRS, making LRS relevant to LMIC and HIC. To assess the potential of eHealth in primary care settings, we discuss four case studies according to the WHO 'building blocks for strengthening healthcare systems'. RESULTS AND DISCUSSION: The case studies illustrate eHealth's potential to improve the provision of healthcare by i) improving the delivery of healthcare (using AI-generated chats); ii) supporting the workforce (using telemedicine platforms); iii) strengthening the healthcare information system (through patient-centred healthcare information systems), and iv) improving system-related elements of healthcare (through a mobile health financing platform). Nevertheless, we found that development and implementation are hindered by user-related, technical, financial, regulatory and evaluation challenges. We formulated six recommendations to help anticipate or overcome these challenges: 1) evaluate eHealth's appropriateness, 2) know the end users, 3) establish evaluation methods, 4) prioritise the human component, 5) profit from collaborations, ensure sustainable financing and local ownership, 6) and contextualise and evaluate the implementation strategies.

Indexed as

TelemedicineHealth FacilitiesHumansPhysical ExaminationPrimary Health Caredigital healtheHealthHigh-Income CountriesLow- and Middle-Income Countrieslow resource settingsprimary care

Identifiers

PMID37615720
PMCPMC10453992
OpenAlexW4386117140

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.