Evidence map›Paper›PMID 31509540›Full record

ArticlePloS one2019

Target women: Equity in access to mHealth technology in a non-communicable disease care intervention in Kenya.

Christine Ngaruiya, Samuel Oti, Steven van de Vijver, Catherine Kyobutungi, Caroline Free

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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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

5 authors.

Christine NgaruiyaDepartment of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, United States of America.ORCID 0000-0002-4583-0986
Samuel OtiInternational Development Research Centre, Nairobi, Kenya.ORCID 0000-0003-1035-9511
Steven van de VijverAmsterdam Institute for Global Health and Development, Amsterdam, The Netherlands.
Catherine KyobutungiAfrican Population Health Research Center, Nairobi, Kenya.
Caroline FreeDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-Communicable Diseases (NCDs) constitute 40 million deaths annually. Eighty-percent of these deaths occur in Low- and Middle-Income Countries. MHealth provides a potentially highly effective modality for global public health, however access is poorly understood. The objective of our study was to assess equity in access to mHealth in an NCD intervention in Kenya.

methodsThis is a secondary analysis of a complex NCD intervention targeting slum residents in Kenya. The primary outcomes were: willingness to receive SMS, whether SMS was received, and access to SMS compared to alternative health information modalities. Age, sex, level of education, level of income, type of work, number of hours worked, and home environment were explanatory variables considered. Multivariable regression analyses were used to test for association using likelihood ratio testing.

results7,618 individual participants were included in the analysis. The median age was 44 years old. Majority (75%, n = 3,691/ 4,927) had only attended up to primary (elementary) school. Majority reported earning "KShs 7,500 or greater" (27%, n = 1,276/ 4,736). Age and level of income had evidence of association with willingness to receive SMS, and age, sex and number of hours work with whether SMS was received. SMS was the health information modality with highest odds of being accessed in older age groups (OR 4.70, 8.72 and 28.89, for age brackets 60-69, 70-79 and 80 years or older, respectively), among women (OR = 1.86, 95% CI 1.19-2.89), and second only to Baraazas (community gatherings) among those with lowest income.

conclusionWomen had the greatest likelihood of receiving SMS. SMS performed equitably well amongst marginalized populations (elderly, women, and low-income) as compared to alternative health information modalities, though sensitization prior to implementation of mHealth interventions may be needed. These findings provide guidance for developing mHealth interventions targeting marginalized populations in these settings.

Indexed as

Delivery of Health CareHealth EquityHealth Services AccessibilityTelemedicineWomen's Health ServicesAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHealth Care SurveysHumansKenyaMaleMiddle AgedNoncommunicable Diseases

Identifiers

PMID31509540
PMCPMC6738613

What OpenQuestion holds

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LicenceCC BY
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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.