Evidence map›Paper›PMID 25637106›Full record

ArticleBMC infectious diseases2015

Determinants of antiretroviral adherence among HIV positive children and teenagers in rural Tanzania: a mixed methods study.

Daniel Nyogea, Sally Mtenga, Lars Henning, Fabian C Franzeck, Tracy R Glass, Emilio Letang, Marcel Tanner, Eveline Geubbels

Abstract read
In one paragraph

Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 6 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

47 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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.

Daniel NyogeaIfakara Health institute, P.O Box 153, Ifakara, Tanzania. dnyogea@ihi.or.tz.
Sally MtengaIfakara Health institute, P.O Box 153, Ifakara, Tanzania. smtenga@ihi.or.tz.
Lars HenningIfakara Health institute, P.O Box 153, Ifakara, Tanzania. lhenning@idi.co.ug.
Fabian C FranzeckIfakara Health institute, P.O Box 153, Ifakara, Tanzania. fabian@ggaweb.ch.
Tracy R GlassSwiss Tropical and Public Health Institute, Basel, Switzerland. Tracy.Glass@unibas.ch.
Emilio LetangIfakara Health institute, P.O Box 153, Ifakara, Tanzania. emili.letang@unibas.ch.
Marcel TannerIfakara Health institute, P.O Box 153, Ifakara, Tanzania. Marcel.Tanner@unibas.ch.
Eveline GeubbelsIfakara Health institute, P.O Box 153, Ifakara, Tanzania. egeubbels@ihi.or.tz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAround 3.3 million children worldwide are infected with HIV and 90% of them live in sub-Saharan Africa. Our study aimed to estimate adherence levels and find the determinants, facilitators and barriers of ART adherence among children and teenagers in rural Tanzania.

methodsWe applied a sequential explanatory mixed method design targeting children and teenagers aged 2-19 years residing in Ifakara. We conducted a quantitative cross sectional study followed by a qualitative study combining focus group discussions (FGDs) and in-depth interviews (IDIs). We used pill count to measure adherence and defined optimal adherence as > =80% of pills being taken. We analysed determinants of poor adherence using logistic regression. We held eight FGDs with adolescent boys and girls on ART and with caretakers. We further explored issues emerging in the FGDs in four in-depth interviews with patients and health workers. Qualitative data was analysed using thematic content analysis.

resultsOut of 116 participants available for quantitative analysis, 70% had optimal adherence levels and the average adherence level was 84%. Living with a non-parent caretaker predicted poor adherence status. From the qualitative component, unfavorable school environment, timing of the morning ART dose, treatment longevity, being unaware of HIV status, non-parental (biological) care, preference for traditional medicine (herbs) and forgetfulness were seen to be barriers for optimal adherence.

conclusionThe study has highlighted specific challenges in ART adherence faced by children and teenagers. Having a biological parent as a caretaker remains a key determinant of adherence among children and teenagers. To achieve optimal adherence, strategies targeting the caretakers, the school environment, and the health system need to be designed.

Indexed as

Drug MonitoringAdolescentAnti-Retroviral AgentsChildChild, PreschoolCross-Sectional StudiesFemaleFocus GroupsHIV InfectionsHumansInterviews as TopicLogistic ModelsMaleMedication AdherenceQualitative ResearchRural HealthAnti-Retroviral Agents

Identifiers

PMID25637106
PMCPMC4314748

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.