Evidence map›Paper›PMID 31575377›Full record

ReviewAIDS research and therapy2019

Performance and trend for quality of service in a large HIV/AIDS treatment program in Nigeria.

Ahmad Aliyu, Samer El-Kamary, Jessica Brown, Bruce Agins, Nicaise Ndembi, Gambo Aliyu, Jibreel Jumare, Babatunde Adelekan, Patrick Dakum, Alash'le Abimiku and 1 more

Abstract readReview
In one paragraph

Review in AIDS research and therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Observational
  3. Article
  4. 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

11 authors.

Ahmad AliyuInstitute of Human Virology, Nigeria, Maina Court, Plot 252 Herbert Macaulay Way, Central Business District, Garki, Abuja, 9396, Nigeria.ORCID 0000-0003-0203-4629
Samer El-KamaryDepartment of Epidemiology and Public Health, University Maryland School of Medicine, Baltimore, USA.
Jessica BrownDepartment of Epidemiology and Public Health, University Maryland School of Medicine, Baltimore, USA.
Bruce AginsInstitute for Global Health Sciences, University of California San Francisco, San Francisco, USA.
Nicaise NdembiInstitute of Human Virology, Nigeria, Maina Court, Plot 252 Herbert Macaulay Way, Central Business District, Garki, Abuja, 9396, Nigeria. nndembi@ihvnigeria.org.
Gambo AliyuInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, USA.
Jibreel JumareInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, USA.
Babatunde AdelekanInstitute of Human Virology, Nigeria (IHVN), Abuja, Nigeria.
Patrick DakumInstitute of Human Virology, Nigeria, Maina Court, Plot 252 Herbert Macaulay Way, Central Business District, Garki, Abuja, 9396, Nigeria.
Alash'le AbimikuInstitute of Human Virology, Nigeria, Maina Court, Plot 252 Herbert Macaulay Way, Central Business District, Garki, Abuja, 9396, Nigeria.
Manhattan CharuratInstitute of Human Virology, University of Maryland School of Medicine, Baltimore, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs antiretroviral therapy (ART) programs expand access, there is an increase in burden to a healthcare system. These results are reduced provider-patient contact time and poor programmatic and patient outcomes. Quality management offers providers a standardized approach for addressing the appropriateness of care to be applied in resource-limited settings. This study aimed to determine the trend of performance on HIV/AIDS quality management indicators of health facilities providing ART over a period of 5 years.

methodsThe annual performance scores of quality of care (QoC) indicators of 31 health facilities providing ART was extracted from a database covering a period of 5 years (from October 2008 to September 2012). The data are percentages that indicate scores of each health facility assessed based on compliance to National ART guidelines categorized into several indicator domains. A Chi square statistic for the trend, as well as test for departure from the trend line was determined. The p value associated with each indicator provides the significant level for testing an alternative hypothesis that the rate of change over the period considered for that indicator does not equal to zero. The slope of the regression line also gives the magnitude of the rate of change for each indicator by healthcare level across the review period.

resultsGenerally, performance trends showed improvement across most indicator domains. The highest improvement occurred for "3 month loss to follow-up" and "1 year no-visit", with scores declining from 37 to 3%, and 42% to 12% respectively. However, there was a sharp decline in performance between 2010 and 2012 in weight monitoring of patients (p < 0.01), adherence assessment to ARVs (p < 0.01) and hematocrit measurements (p = 0.01). The aggregate rate of change β, as obtained from the slope of the trend line is highly significant (p < 0.01) for all the quality of care indicators considered, whether improving or declining.

conclusionPeriodic assessment to determine HIV/AIDS quality of care can guide rapid scale-up of services to achieve universal coverage in resource-limited settings. Determining trends to understand patterns is very useful for improving programmatic and patient outcomes.

Indexed as

Quality of Health CareAcquired Immunodeficiency SyndromeAnti-HIV AgentsDelivery of Health CareDisease ManagementHIV InfectionsHumansNigeriaAnti-HIV AgentsARTIndicatorsNigeriaPerformanceQuality

Identifiers

PMID31575377
PMCPMC6774212

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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.