Evidence map›Paper›PMID 26208134›Full record

ArticlePloS one2015

Within-Gender Changes in HIV Prevalence among Adults between 2005/6 and 2010/11 in Zimbabwe.

Elizabeth Gonese, Tonderai Mapako, Janet Dzangare, Simbarashe Rusakaniko, Peter H Kilmarx, Maarten J Postma, Stella Ngwende, John Mandisarisa, Ponesai Nyika, David A Mvere and 3 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
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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.

Elizabeth GoneseU.S. Centers for Disease Control and Prevention (CDC), Harare Zimbabwe.
Tonderai MapakoNational Blood Service Zimbabwe, Harare Zimbabwe; Unit of Pharmaco-Epidemiology & Pharmaco-Economics (PE2), Department of Pharmacy, University of Groningen, Groningen, Netherlands.
Janet DzangareMinistry of Health and Child Welfare, Harare, Zimbabwe.
Simbarashe RusakanikoDepartment of Community Medicine, University of Zimbabwe, Harare, Zimbabwe.
Peter H KilmarxU.S. Centers for Disease Control and Prevention (CDC), Harare Zimbabwe; Division of Global HIV/AIDS, CDC, Atlanta, United States of America.
Maarten J PostmaUnit of Pharmaco-Epidemiology & Pharmaco-Economics (PE2), Department of Pharmacy, University of Groningen, Groningen, Netherlands.
Stella NgwendeNational Microbiology Reference Laboratory, Harare, Zimbabwe.
John MandisarisaU.S. Centers for Disease Control and Prevention (CDC), Harare Zimbabwe.
Ponesai NyikaMinistry of Health and Child Welfare, Harare, Zimbabwe.
David A MvereNational Blood Service Zimbabwe, Harare Zimbabwe.
Owen MugurungiMinistry of Health and Child Welfare, Harare, Zimbabwe.
Mufuta TshimangaDepartment of Community Medicine, University of Zimbabwe, Harare, Zimbabwe.
Marinus van HulstUnit of Pharmaco-Epidemiology & Pharmaco-Economics (PE2), Department of Pharmacy, University of Groningen, Groningen, Netherlands; Department of Clinical Pharmacy and Toxicology, Martini Hospital, Groningen, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionZimbabwe has reported significant declines in HIV prevalence between 2005/06 and 2010/11 Demography and Health Surveys; a within-gender analysis to identify the magnitude and factors associated with this change, which can be masked, is critical for targeting interventions.

methodsWe analyzed change in HIV prevalence for 6,947 women and 5,848 men in the 2005/06 survey and 7,313 women and 6,250 men in 2010/11 surveys using 2005/06 as referent. The data was analyzed taking into consideration the survey design and therefore the svy, mean command in Stata was used in both linear and logistic regression.

resultsThere were similar proportional declines in prevalence at national level for males (15% p=0.011) and females (16%,p=0.008). However, there were variations in decline by provincial setting, demographic variables of age, educational level and some sexual risk behaviours. In logistic regression analysis, statistically significant declines were observed among men in Manicaland, Mashonaland East and Harare (p<0.01) and for women in Manicaland, Mashonaland Central and Harare (p<0.01). Although not statistically significant, numerical increases were observed among men in Matebeleland North, Matebeleland South, Midlands and for both men and women in Bulawayo. Young women in the age range 15-34 experienced a decline in prevalence (p<0.01) while older men 30-44 had a statistically significant decline (p<0.01). Having a secondary and above education, regardless of employment status for both men and women recorded a significant decline. For sexual risk behaviours, currently in union for men and women and not in union for women there was a significant decline in prevalence.

conclusionZimbabwe has reported a significant decline among both men and women but there are important differentials across provinces, demographic characteristics and sexual risk behaviours that suggest that the epidemic in Zimbabwe is heterogeneous and therefore interventions must be targeted in order to achieve epidemic control.

Indexed as

AdolescentAdultAgedCross-Sectional StudiesFemaleHealth SurveysHIV InfectionsHumansLogistic ModelsMaleMiddle AgedPrevalenceRisk FactorsSexual BehaviorYoung AdultZimbabwe

Identifiers

PMID26208134
PMCPMC4514831

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