Evidence map›Paper›PMID 35395742›Full record

ArticleBMC pediatrics2022

Incidence and predictors of initial antiretroviral therapy regimen change among children in public health facilities of Bahir Dar City, Northwest Ethiopia, 2021: multicenter retrospective follow-up study.

Molla Azmeraw, Yinager Workineh, Friehiwot Girma, Amare Kassaw, Gashaw Kerebeh, Abraham Tsedalu, Agimasie Tigabu, Teshale Mengesha, Eleni Dagnaw, Dessie Temesgen and 3 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. 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

13 authors at 5 institutions in 1 country.

Molla AzmerawDepartment of Nursing, College of Health Sciences, Woldia University, P. O. Box: 400, Woldia, Ethiopia. molla2ab@gmail.com.
Yinager WorkinehDepartment of Pediatrics and Child Health Nursing, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia.
Friehiwot GirmaDepartment of Pediatrics and Child Health Nursing, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia.
Amare KassawDepartment of Pediatrics and Child Health Nursing, College of Medicine and Health Science, Debre Tabor University, Debre Tabor, Ethiopia.
Gashaw KerebehDepartment of Pediatrics and Child Health Nursing, College of Medicine and Health Science, Debre Tabor University, Debre Tabor, Ethiopia.
Abraham TsedaluDepartment of adult Health Nursing, College of Medicine and Health Science, Debre Tabor University, Debre Tabor, Ethiopia.
Agimasie TigabuDepartment of adult Health Nursing, College of Medicine and Health Science, Debre Tabor University, Debre Tabor, Ethiopia.
Teshale MengeshaDepartment of Pediatrics and Child Health Nursing, College of Health Science, Dire Diwa University, Dire Diwa, Ethiopia.
Eleni DagnawDepartment of Pediatrics and Child Health Nursing, College of Medicine and Health Science, Debre Birhan University, Debre Birhan, Ethiopia.
Dessie TemesgenDepartment of Nursing, College of Health Sciences, Woldia University, P. O. Box: 400, Woldia, Ethiopia.
Biruk BeletewDepartment of Nursing, College of Health Sciences, Woldia University, P. O. Box: 400, Woldia, Ethiopia.
Getenet DessieDepartment of Adult health Nursing, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia.
Melsew DagneDepartment of Nursing, College of Health Sciences, Woldia University, P. O. Box: 400, Woldia, Ethiopia.
Debre Tabor University · ETWoldia University · ETBahir Dar University · ETDebre Berhan University · ETDire Dawa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe inconsistent use of antiretroviral therapy can lead to the risk of cross-resistance between drugs. This reduces subsequent antiretroviral drug options. The burden of initial antiretroviral therapy ranges from 11.3% in South Africa to 71.8% in Malaysia. There is evidence that it is important to maintain children's initial antiretroviral therapy regimens. However, the incidence and predictive factors of initial antiretroviral therapy regimen changes in the research context are still unknown in the study setting. So, the study was aimed to assess incidence and predictors of initial antiretroviral therapy regimen changes among children in public health facilities of Bahir Dar city.

methodsA retrospective follow-up study was conducted in 485 children who received antiretroviral therapy between January 1, 2011 and December 30, 2020. These children were selected using simple random sampling techniques. The data were entered by Epi data 3.1 and the analysis was completed by STATA 14.0. The missing data was treated with multiple imputation method. The data were also summarized by median or mean, interquartile range or standard deviation, proportion and frequency. The survival time was determined using the Kaplan Meier curve. The Cox Proportional Hazard model was fitted to identify predictors of initial antiretroviral therapy regimen change. The global and Shoenfeld graphical proportional hazard tests were checked. Any statistical test was considered significant at P-value < 0.05. Finally, the data were presented in the form of tables, graphics and text.

resultAmong the 459 study participants, 315 of them underwent initial regimen changes during the study accumulation period. The shortest and longest follow up time of the study were 1 month and 118 months, respectively. The overall incidence rate of initial regimen change was 1.85, 95% CI (1.66-2.07) per 100 person-month observation and the median follow up time of 49 (IQR 45, 53) months. The independent predictors of initial regimen changes were poor adherence (AHR = 1.49, 95%CI [1.16, 1.92]), NVP based regimen (AHR = 1.45, 95%CI [1.15, 1.84]) comparing to EFV based regimen, LPVr based regimen (AHR = 0.22, 95%CI: (0.07, 0.70)) comparing to EFV based regimen, history of tuberculosis (AHR = 1.59, 95%CI [1.14, 2.23]) and being male (AHR = 1.28, 95%CI [1.02, 1.60]). CONCLUSIONS AND RECOMMENDATIONS: In this study, the incidence of initial regimen change was high. The risk of initial regimen change would be increased by being male, poor adherence, having history of tuberculosis and NVP based initial regimen. Therefore, strengthening the health care providers' adherence counseling capability, strengthening tuberculosis screening and prevention strategies and care of initial regimen type choice needs attention in the HIV/AIDS care and treatment programs.

Indexed as

HIV InfectionsTuberculosisChildEthiopiaFollow-Up StudiesHealth FacilitiesHumansIncidenceMaleRetrospective StudiesAntiretroviral therapyChildrenEthiopiaHuman immunodeficiency virusInitial regimen change

Identifiers

PMID35395742
PMCPMC8991888
OpenAlexW4223464334

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.