Evidence map›Paper›PMID 38296272›Full record

ArticleBMJ open2024

Facilitators and barriers of digital health technologies implementation in hospital settings in lower-income and middle-income countries since the COVID-19 pandemic: a scoping review protocol.

Sheng Qian Yew, Daksha Trivedi, Nurul Iman Hafizah Adanan, Boon How Chew

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

4 authors.

Sheng Qian YewDepartment of Public Health Medicine, Universiti Kebangsaan Malaysia Fakulti Perubatan, Cheras, Federal Territory of Kual, Malaysia ysq_sam@yahoo.com.ORCID 0000-0002-2430-1540
Daksha TrivediCentre for Research in Public Health and Community Care, University of Hertfordshire, Hertfordshire, UK.
Nurul Iman Hafizah AdananClinical Research Unit, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Boon How ChewDepartment of Family Medicine, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID 0000-0002-8627-6248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe implementation of digital health technologies (DHTs) in hospitals worldwide has been uneven since the COVID-19 pandemic. Ambiguity in defining the landscape of DHTs adds to the complexity of this process. To address these challenges, this scoping review aims to identify the facilitators and barriers of implementing DHTs in hospitals in lower-income and middle-income countries (LMIC) since COVID-19, describe the DHTs that have been adopted in hospital settings in LMIC during this period, and develop a comprehensive classification framework to define the landscape of DHTs implemented in LMIC. METHODS AND ANALYSIS: We will conduct a systematic search in PubMed, Scopus, Web of Science and grey literature. Descriptive statistics will be used to report the characteristics of included studies. The facilitators and barriers to DHTs implementation, gathered from both quantitative and qualitative data, will be synthesised using a parallel-results convergent synthesis design. A thematic analysis, employing an inductive approach, will be conducted to categorise these facilitators and barriers into coherent themes. Additionally, we will identify and categorise all available DHTs based on their equipment types and methods of operation to develop an innovative classification framework. ETHICS AND DISSEMINATION: Formal ethical approval is not required, as primary data collection is not involved in this study. The findings will be disseminated through peer-reviewed publications, conference presentations and meetings with key stakeholders and partners in the field of digital health.

Indexed as

COVID-19Developing CountriesDigital HealthHospitalsHumansPandemicsResearch DesignScoping Reviews as TopicHealth informaticsInformation technologyTelemedicineWorld Wide Web technology

Identifiers

PMID38296272
PMCPMC10831434

What OpenQuestion holds

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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.