Evidence map›Paper›PMID 37339830›Full record

ArticleBMJ open2023

Socioeconomic inequalities in cervical precancer screening among women in Ethiopia, Malawi, Rwanda, Tanzania, Zambia and Zimbabwe: analysis of Population-Based HIV Impact Assessment surveys.

David Chipanta, Sharon Kapambwe, Alinane Linda Nyondo-Mipando, Margaret Pascoe, Silas Amo-Agyei, Julia Bohlius, Janne Estill, Olivia Keiser

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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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

8 authors.

David ChipantaERA, UNAIDS, Geneve, Switzerland chipanta@hotmail.com.ORCID 0000-0002-7909-6855
Sharon KapambweWorld Health Organization, Harare, Zimbabwe.ORCID 0000-0001-9800-9385
Alinane Linda Nyondo-MipandoKamuzu University of Health Sciences, Blantyre, Malawi.ORCID 0000-0002-3572-3810
Margaret PascoeClinic, Newlands Clinic, Harare, Zimbabwe.ORCID 0000-0003-3066-3780
Silas Amo-AgyeiDepartment of Economics, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0001-9718-6363
Julia BohliusSwiss Tropical and Public Health Institute, University of Bern, Basel, Switzerland.ORCID 0000-0003-1955-1585
Janne EstillFaculty of Medicine, University of Geneva, Geneve, Switzerland.ORCID 0000-0001-9544-1447
Olivia KeiserFaculty of Medicine, University of Geneva, Geneve, Switzerland.ORCID 0000-0001-8191-2789

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectivesWe examined age, residence, education and wealth inequalities and their combinations on cervical precancer screening probabilities for women. We hypothesised that inequalities in screening favoured women who were older, lived in urban areas, were more educated and wealthier.

designCross-sectional study using Population-Based HIV Impact Assessment data.

settingEthiopia, Malawi, Rwanda, Tanzania, Zambia and Zimbabwe. Differences in screening rates were analysed using multivariable logistic regressions, controlling for age, residence, education and wealth. Inequalities in screening probability were estimated using marginal effects models.

participantsWomen aged 25-49 years, reporting screening. OUTCOME MEASURES: Self-reported screening rates, and their inequalities in percentage points, with differences of 20%+ defined as high inequality, 5%-20% as medium, 0%-5% as low.

resultsThe sample size of participants ranged from 5882 in Ethiopia to 9186 in Tanzania. The screening rates were low in the surveyed countries, ranging from 3.5% (95% CI 3.1% to 4.0%) in Rwanda to 17.1% (95% CI 15.8% to 18.5%) and 17.4% (95% CI 16.1% to 18.8%) in Zambia and Zimbabwe. Inequalities in screening rates were low based on covariates. Combining the inequalities led to significant inequalities in screening probabilities between women living in rural areas aged 25-34 years, with a primary education level, from the lowest wealth quintile, and women living in urban areas aged 35-49 years, with the highest education level, from the highest wealth quintile, ranging from 4.4% in Rwanda to 44.6% in Zimbabwe.

conclusionsCervical precancer screening rates were inequitable and low. No country surveyed achieved one-third of the WHO's target of screening 70% of eligible women by 2030. Combining inequalities led to high inequalities, preventing women who were younger, lived in rural areas, were uneducated, and from the lowest wealth quintile from screening. Governments should include and monitor equity in their cervical precancer screening programmes.

Indexed as

HIV InfectionsCross-Sectional StudiesEducational StatusEthiopiaFemaleHumansMalawiRwandaSocioeconomic FactorsTanzaniaZambiaZimbabweCancer painHealth economicsHealth policyHIV & AIDSPUBLIC HEALTHReproductive medicine

Identifiers

PMID37339830
PMCPMC10314495

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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.