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Record W4245637152 · doi:10.4073/csr.2015.17

Strategies to Increase the Ownership and Use of Insecticide‐Treated Bednets to Prevent Malaria

2015· article· en· W4245637152 on OpenAlexafffund
Lana Augustincic Polec, Jennifer Petkovic, Vivian Welch, Erin Ueffing, Elizabeth Tanjong Ghogomu, Jordi Pardo Pardo, Mark Grabowsky, Amir Attaran, George A. Wells, Peter Tugwell

Bibliographic record

VenueCampbell Systematic Reviews · 2015
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsOttawa HospitalCentre for Global Health ResearchInstitute of Population and Public HealthCochraneBruyèreUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsMalariaIncentiveBusinessSubsidyEnvironmental healthPromotion (chess)Public economicsMedicineEconomicsPolitical science

Abstract

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This Campbell systematic review assesses the effectiveness of economic and educational strategies for ownership and appropriate use of insecticide-treated bednets (‘ITN’) in developing countries. The review also examines whether changes in ITN ownership and use affect malaria-specific morbidity rates. The review summarises findings from 10 studies, nine of which were conducted in rural Africa and one in rural India. Compared to providing ITNS at full market or a subsidized price, giving away ITNs for free increases the number of people owning an ITN. However, the provision of free ITNs increases their use only slightly or not at all. Providing education in the appropriate use of ITNs increases the number of people sleeping under bednets compared to a control group which didn't receive the education. Combining these strategies with unspecified incentives does not increase ITN ownership, leading to little or no differences in their appropriate use. Embedding the promotion of ITNs within specific health- or finance-focused marketing messages only leads to small or no differences in bednet ownership and use. There is some evidence of improved malaria-specific morbidities among children and adults as a result of increased ITN ownership and use. However, the evidence supporting this finding is of low certainty and should be interpreted with caution. Plain language summary STRATEGIES TO INCREASE THE OWNERSHIP AND USE OF INSECTICIDE-TREATED BEDNETS TO PREVENT MALARIA Researchers in the Cochrane and Campbell Collaborations conducted a review of the effect of different strategies to increase people's ownership and use of insecticide-treated bednets to prevent malaria. In February 2013 they identified 10 relevant studies. Their findings are summarized below. What is malaria and how can insecticide-treated bednets prevent it? Malaria is a life-threatening disease caused by a parasite. A person becomes infected from being bitten by a mosquito carrying the parasite. People with malaria may have symptoms such as chills, fever, vomiting, diarrhea, and jaundice. About 40 percent of the world's population is at risk of malaria, mostly in the poorest countries. Insecticide-treated bednets fit over a bed and act as a barrier between insects and the person sleeping. The bednets are dipped in insecticide, a chemical that kills or repels mosquitoes, and effectively prevent malaria. Insecticide-treated bednets cost money and it is important to find ways of ensuring that people who need them own them. Even when people own bednets they may not always use them properly. To be effective, bednets need to be used every night. They must also hang properly and be treated with enough insecticide. It is important to measure whether different strategies not only increase people's ownership but also people's use of bednets. What this research says: The studies included in this review took place in Africa and India. In five of the studies, people were either given insecticide-treated bednets free, or could buy them at a subsidized price or full market price. In the other five studies, people were educated about how to use the bednets properly, for instance through visits at home or through information on the radio, on television and in the community. The included studies show the following: Providing free insecticide-treated bednets: - Probably increases the number of people who own bednets compared to providing subsidized bednets or bednets offered at full market price. - Probably leads to little or no difference in the use of bednets compared to providing subsidized bednets or bednets offered at full market price. Providing education for the appropriate use of insecticide- treated bednets: - May increase the number of adults and children under five using bednets (sleeping under bednets). Providing incentives to encourage use of insecticide-treated bednets: - Probably leads to little or no difference in ownership or use of bednets compared to those who did not receive an incentive. A possible side effect when providing free or subsidized insecticide-treated bednets may be that the governments and institutions who pay for the bednets take this money from other priority issues. However, none of the included studies measured whether these or any other side effects had occurred. Abstract BACKGROUND Malaria is a life-threatening parasitic disease and 40 percent of the world's population lives in areas affected by malaria. Insecticide-treated bednets (ITNs) effectively prevent malaria, however, barriers to their use have been identified. OBJECTIVES To assess the evidence on the effectiveness of available strategies that focus on delivery and appropriate use of ITNs. SEARCH METHODS We searched the EPOC Register of Studies, CENTRAL, MEDLINE, EMBASE, HealthStar, CINAHL, PubMed, Science Citation Index, ProQuest Dissertations and Theses, African Index Medicus (AIM), World Health Organization Library and Information Networks for Knowledge (WHOLIS), LILACS, Virtual Health Library (VHL), and the World Health Organization Library Information System (WHOLIS). Initial searches were conducted in May 2011, updated in March 2012 and February 2013. Authors contacted organizations and individuals involved in ITN distribution programs or research to identify current initiatives, studies or unpublished data, and searched reference lists of relevant reviews and studies. SELECTION CRITERIA Randomized controlled trials (RCTs), non-randomized controlled trials, controlled before-after (CBA) studies, and interrupted time series evaluating interventions focused on increasing ITN ownership and use were considered. The populations of interest were individuals in malaria-endemic areas. DATA COLLECTION AND ANALYSIS Two authors independently screened studies to be included. They extracted data from the selected studies and assessed the risk of bias. For RCTs, we used the Cochrane Collaboration's ‘Risk of bias’ tool and we used the risk of bias criteria suggested by EPOC for other study designs. When consensus was not reached, any disagreements were discussed with a third author. The magnitude of effect and quality of evidence for each outcome was assessed. MAIN RESULTS Of the 3,032 possibly relevant records identified, 10 studies were included in this review; eight cluster RCTs, one RCT, and one CBA study. Overall, three studies were assessed as having moderate risk of bias and seven studies were assessed as high risk of bias. Effect of ITN cost on ownership: Four studies including 4,566 households and another study comprising 424 participants evaluated the effect of ITN price on ownership. These studies suggest that providing free ITNs probably increases ITN ownership when compared to subsidized ITNs or ITNs offered at full market price.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.043
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0060.005
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.131
GPT teacher head0.342
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations16
Published2015
Admission routes2
Has abstractyes

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