ArticleJournal of family medicine and primary care2022
Evaluating scope of mobile technology for bridging health care gaps in impoverished population in LMICs.
Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: mHealth has potential to improve health care delivery but little is known about its effectiveness on health amongst marginalized communities. This study was carried out to determine the scope and usefulness of mHealth implementation in underprivileged slum population. Material and Methods: A cross-sectional study was carried out in an urban slum of Northern India where the government primary health care facility was digitized and mHealth component was integrated into the system to improve the health care service delivery. The survey was conducted using a pre-tested questionnaire among 921 persons who were sent SMSs within the last 2 months prior to survey to assess the reach and acceptability of mHealth in the underprivileged slum populations, and the role it can play to improve the healthcare services provided through primary health care facility. Results: In the surveyed population majority (59.8%) were young (18-30 years), females (79.3%), Hindu (94%) belonged to Scheduled caste (77.8%) and a significant percentage of them were illiterates (30%). Mobile phones were available with 87% of the surveyed population and more than 50% had smartphones. Though, only 59.5% of individuals confirmed the receipt of SMS, a very high proportion of survey population (98.3%) were willing to receive health-related SMS. About 72% individuals received SMSs and remembered the content of the message. Adherence to health advise sent through SMS was significantly higher among females (OR = 2.4 (95% CI: 1.2,5.1), Conclusion: mHealth has high potential to improve reach and increase accessibility of health care services for marginalized communities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.