Evidence map›Paper›PMID 38989044›Full record

ArticleCardiovascular digital health journal2024

Cellular-Enabled Remote Patient Monitoring for Pregnancies Complicated by Hypertension.

Rebecca D Jones, Cheng Peng, Crystal D Jones, Brianna Long, Victoria Helton, Hari Eswaran

Abstract read
In one paragraph

Article in Cardiovascular digital health journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
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.

Rebecca D JonesUniversity of Arkansas for Medical Sciences, Little Rock, Arkansas.
Cheng PengUniversity of Arkansas for Medical Sciences, Little Rock, Arkansas.
Crystal D JonesUniversity of Arkansas for Medical Sciences, Little Rock, Arkansas.
Brianna LongUniversity of Arkansas for Medical Sciences, Little Rock, Arkansas.
Victoria HeltonUniversity of Arkansas for Medical Sciences, Little Rock, Arkansas.
Hari EswaranUniversity of Arkansas for Medical Sciences, Little Rock, Arkansas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Unmanaged hypertension in pregnancy is the second most common cause of direct maternal death and disproportionately affects women in rural areas. While telehealth technologies have worked to reduce barriers to healthcare, lack of internet access has created new challenges. Cellular-enabled remote patient monitoring devices provide an alternative option for those without access to internet. Objective: This study aimed to assess maternal and neonatal clinical outcomes and patient acceptability of an integrated model of cellular-enabled remote patient monitoring devices for blood pressure supported by a 24/7 nurse call center. Methods: In a mixed-methods study, 20 women with hypertension during pregnancy were given a cellular-enabled BodyTrace blood pressure cuff. Participants' blood pressures were continuously monitored by a nurse call center. Participants completed a baseline survey, post-survey, and semi-structured interview after 8 weeks of device use. Results: Participants reported a significant decrease in perceived stress after device use ( Conclusion: Remote patient monitoring for women whose pregnancies are complicated by hypertension can reduce barriers and improve health outcomes for women living in rural and low-health-resource areas.

Indexed as

Cellular-enabled remote patient monitoring deviceHypertensionPregnancyPregnant womenRemote patient monitoring

Identifiers

PMID38989044
PMCPMC11232352

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.