Evidence map›Paper›PMID 31523733›Full record

ArticleBMJ open quality2019

Improving long-lasting insecticidal nets use in Kayange community of north-western Burundi: a pilot study exploring the use of quality improvement methodologies in low-resource community settings.

Desire Habonimana, Gideon Nimako, Jabulani Ncayiyana, Gabriel Ndayisaba, Rohit Ramaswamy

Open access · goldAbstract read
In one paragraph

Article in BMJ open quality, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 17% 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

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

  1. Pooled it
  2. Article
  3. 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

5 authors at 4 institutions in 4 countries.

Desire HabonimanaMedicine, University of Burundi, Bujumbura, Burundi.ORCID 0000-0003-0832-5558
Gideon NimakoDivision of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Jabulani NcayiyanaDivision of Epidemiology and Biostatistics, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
Gabriel NdayisabaSurgery, Medical Teaching Hospital of Kamenge, University of Burundi, Bujumbura, Burundi.
Rohit RamaswamyDepartment of Maternal and Child Health, and the Public Health Leadership Program, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
University of the Witwatersrand · ZAUniversité du Burundi · BIUniversity of Cape Town · ZAUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality improvement (QI) approaches have demonstrated a lot of promise in improving clinical care processes, both in high-resource and low-resource settings. However, most examples of QI initiatives in healthcare in low-income countries are clinic-based. The objective of this study was to demonstrate feasibility of applying QI methods in low-resource community settings by applying them to the problem of correct utilisation of long-lasting insecticidal nets (LLINs) in a rural community in Burundi. Correct utilisation of LLINs had been shown to be a cost-effective approach to malaria prevention. In Burundi, LLINs utilisation is low. The Model for Improvement, a well-known QI approach, was used to increase LLINs utilisation in a rural community in Burundi. In the baseline, LLINs ownership and weekly utilisation together with factors affecting LLINs non-use were documented for a period of 4 weeks before intervention. Improvement ideas were collaboratively developed by a quality improvement team (QIT) and tested using Plan-Do-Study-Act (PDSA) cycles. The first PDSA cycle consisted of the demonstration of how to mount LLINs, the second was an implementation of reminders done by household 'watchdogs', the third cycle consisted of conducting two community reminders every week and the last cycle was a combination of the last two PDSA cycles. The intervention lasted 4 weeks and data were collected weekly. LLINs utilisation was calculated each week and plotted on a run chart to demonstrate improvement trends. LLINs utilisation data were collected for another 3 weeks postintervention. Of 96 households, 83 (87%) households owned at least one LLIN. After intervention, the number of LLINs used increased from 32% to 75% (134% increase) and the number of persons (general population) sleeping under LLINs from 35% to 73% (108% increase). The number of children under 5 years sleeping under LLINs increased from 31% to 76% (145% increase) and the number of pregnant women who slept under LLINs from 43% to 73% (69% increase). Also, the averages of the number of nights in each week that the general population slept under LLINs increased from 2.13 to 5.11 (140% increase), children under 5 years from 1.68 to 4.78 (184% increase) and pregnant women from 1.56 to 4.47 (186% increase). Each of the 4 PDSA cycles led to a significant increase in outcome indicators and the trends appear to persist even after the implementation was complete. While it is impossible to draw generalisable conclusions from a small pilot study, QI approaches appear to be feasible to implement in low-resource community setting and have promise in producing results. More research at larger scale should be encouraged to validate our initial findings.

Indexed as

Children under 5LLINs utilizationModel for ImprovementPregnant Women

Identifiers

PMID31523733
PMCPMC6711436
OpenAlexW2969995669

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.