Evidence map›Paper›PMID 39347458›Full record

ArticleHealth services insights2024

Cloud Horizons: Strengthening Rural Healthcare Through Telemedicine's Digital Canopy.

Felician Andrew Kitole, Sameer Shukla

Abstract read
In one paragraph

Article in Health services insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

2 authors.

Felician Andrew KitoleDepartment of Economics, Mzumbe University, Morogoro, Tanzania.ORCID https://orcid.org/0000-0002-3596-5350
Sameer ShuklaLead Software Engineer, IntraEdge Inc, Irving, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cloud-based telemedicine holds promise for improving healthcare accessibility and delivery, particularly in rural areas of developing countries like Tanzania. However, little is known about its determinants and benefits in such contexts. This study investigates the factors influencing the usage of telemedicine in Mvomero district, Morogoro region, Tanzania, focusing on both supply and demand sides. Method: Using structured interviews and key informant interviews, the study examines various cloud-based telemedicine platforms, including remote monitoring, electronic health records, cloud-based storage, and machine learning algorithms. The study used descriptive statistics to analyze quantitative data, while thematic analysis was used to analyze qualitative data. Results: Results reveal several factors influencing telemedicine usage. On the demand side, perceived benefits (53.96%), technology cost (62.79%), legal practices (62.79%), and resource availability and affordability (49.77%) are crucial. On the supply side, technological innovation (35%) and access to financial resources (43%) play pivotal roles. Environmental and institutional factors such as political willingness (38%) and regulatory support (34%) also impact telemedicine usage. Moreover, results reveal that cloud-based telemedicine platforms in rural healthcare facilities have several benefits including improved access (32.74% to 57.44%), cost efficiency (37.88% to 54.82%), timely consultations (56.83% to 65.21%), health monitoring, and prescription management (43.89% to 75.90%). Private facilities particularly emphasize health monitoring. Conclusion: Adopting telemedicine technologies can revolutionize rural healthcare by providing customized and easily accessible services. Policymakers can use these findings to develop targeted strategies, including subsidized infrastructure, innovative financing models, and clear regulatory frameworks. Clear guidelines on data transfer and privacy are essential to ensure legal compliance and equitable access to telemedicine benefits. Simplifying registration requirements and implementing explicit consent mechanisms are recommended to address data privacy concerns. These measures aim to promote operational efficiency, data safety, and enhanced health outcomes in resource-limited settings.

Indexed as

Cloud-based telemedicinedata privacy and securitydigital healthhealthcare deliveryhealthcare innovationhealth information technologymachine learningremote monitoringrural healthcare telehealth

Identifiers

PMID39347458
PMCPMC11439172

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.