Evidence map›Paper›PMID 33727801›Full record

ArticlePatient preference and adherence2021

"I Wish to Continue Receiving the Reminder Short Messaging Service": A Mixed Methods Study on the Acceptability of Digital Adherence Tools Among Adults Living with HIV on Antiretroviral Treatment in Tanzania.

Kennedy Ngowi, Francis Pima, Blandina Theophil Mmbaga, Rob E Aarnoutse, Peter Reiss, Pythia T Nieuwkerk, Mirjam Sprangers, Marion Sumari-de Boer

Open access · goldAbstract read
In one paragraph

Article in Patient preference and adherence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 14% of its field
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

8 authors at 4 institutions in 2 countries.

Kennedy NgowiKilimanjaro Clinical Research Institute, Moshi, Tanzania.ORCID 0000-0002-3692-5940
Francis PimaKilimanjaro Clinical Research Institute, Moshi, Tanzania.ORCID 0000-0002-3692-5211
Blandina Theophil MmbagaKilimanjaro Clinical Research Institute, Moshi, Tanzania.ORCID 0000-0002-5550-1916
Rob E AarnoutseRadboudumc, Radboud Institute for Health Sciences & Department of Pharmacy, Nijmegen, The Netherlands.
Peter ReissAmsterdam UMC, Location AMC, University of Amsterdam, Department of Global Health, And Amsterdam Institute for Global Health and Development, Amsterdam, The Netherlands.
Pythia T NieuwkerkAmsterdam UMC, Location AMC, University of Amsterdam, Department of Medical Psychology, Amsterdam, The Netherlands.
Mirjam SprangersAmsterdam UMC, Location AMC, University of Amsterdam, Department of Medical Psychology, Amsterdam, The Netherlands.
Marion Sumari-de BoerKilimanjaro Clinical Research Institute, Moshi, Tanzania.ORCID 0000-0002-5433-0406
Kilimanjaro Christian Medical Centre · TZAmsterdam University Medical Centers · NLRadboud University Nijmegen · NLStichting HIV Monitoring · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDigital Adherence Tools (DAT) to promote adherence to antiretroviral treatment (ART) for HIV are being increasingly adopted globally, however their effectiveness and acceptability in limited resource settings has been challenging. In this study, we examine the acceptability of DATs to improve adherence to ART.

methodsThis study was part of a three-arm randomized controlled trial (REMIND) which investigated the effect of two different DAT's: SMS text messages (SMS) or real-time medication monitoring (RTMM) on treatment adherence; compared to standard of care. Exit interviews and in-depth interviews were conducted at 48 weeks follow-up, to collect data on their experiences (successes, challenges, and barriers) and behaviours regarding the implementation of the interventions. Translated transcripts, memos and field notes were imported to NVivo software version 12. We used a thematic framework analysis which drew from Sekhon's theoretical framework of acceptability (TFA), which comprises of seven constructs (affective attitude, perceived burden, perceived effectiveness, ethicality, self-efficacy, intervention coherence and opportunity costs).

resultsOf the 166 participants enrolled, 143 (86%) were interviewed (68 in the SMS arm and 75 in the RTMM arm). Participants were highly satisfied (98%) with the DAT system and the majority of them reported it motivated them to take their medication (99%). The majority of participants reported they were confident in their ability to comply with the intervention and understood how the intervention worked (97%). Very few reported negatively about the devices (carrying the device), with only 6% reporting that they did not feel comfortable and 8% had ethical concerns with the SMS-content A few participants reported challenges with their connectivity/network and that the visits were too time-consuming. A few participants reported that they incurred extra cost for the sake of the study.

conclusionOverall, the acceptability of these DATs was high. However, several factors may hamper their acceptability including the content and number of SMS, carrying the devices and the network availability.

Indexed as

acceptabilityadherenceARTDATdigital adherence toolreal-time medication monitoringSMS reminders

Identifiers

PMID33727801
PMCPMC7955743
OpenAlexW3135507739

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.