Evidence map›Paper›PMID 36093384›Full record

ArticleFrontiers in digital health2022

Mobile phone ownership, digital technology use and acceptability of digital interventions among individuals on opioid use disorder treatment in Kenya.

Sarah Kanana Kiburi, Saeeda Paruk, Bonginkosi Chiliza

Abstract read
In one paragraph

Article in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  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

3 authors.

Sarah Kanana KiburiDiscipline of psychiatry, Nelson Mandela School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa.
Saeeda ParukDiscipline of psychiatry, Nelson Mandela School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa.
Bonginkosi ChilizaDiscipline of psychiatry, Nelson Mandela School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is limited research on the use of digital interventions among individuals with opioid use disorders (OUD) in low-and-middle income countries. This study aimed to assess mobile phone ownership, digital technology use and acceptability of digital interventions for treatment among individuals on treatment for OUD in Nairobi, Kenya. Methods: A cross-sectional study was conducted among individuals with OUD. Structured questionnaires were used to collect data on socio-demographic and clinical characteristics, use of mobile phones and other digital technology and acceptability of digital interventions for treatment. Results: One hundred and eighty participants were enrolled comprising 83.3% males with mean age of 31.5 years (SD 8.6). Mobile phone ownership was reported by 77.2% of participants of which 59.7% used smartphones. One hundred and sixty-six (92.2%) used phones to call, 82.8 and 77.2% used phones to send and receive text messages respectively; 30% used the internet; 57.2% had replaced the phone in past year and 51.1% of participants reported use of at least one social media platform, of these 44.4% had searched social media for information on drug use. Acceptability to receive treatment by phone was 95% and computer 49.4% with majority (88.1%) preferring a text message-based intervention. The preferred approach of delivery of a text message-based intervention were: one text message per day once a week, message to be personalized and individuals allowed to choose time and day to receive the message. Factors associated with acceptability of digital interventions were education level, being single, smartphone ownership and employment. Conclusion: Majority of individuals on treatment for OUD had access to mobile phones but with high device turnover and limited access to computers and internet. There was high acceptability of digital interventions to provide treatment for OUDs, mostly through phones. These findings highlight factors to consider in the design of a digital intervention for this population.

Indexed as

acceptabilitydigital interventionsKenyamobile phone useopioid use disordertreatment

Identifiers

PMID36093384
PMCPMC9452845

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.