ArticleBMJ open2013
Identifying HIV most-at-risk groups in Malawi for targeted interventions. A classification tree model.
Article in BMJ open, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Wealth, income and HIV in sub-Saharan Africa: a systematic review.Journal of the International AIDS Society · 2025Pooled it
- Effects of tropical cyclone Freddy on the social determinants of health: the narrative review of the experience in Malawi.BMJ public health · 2024Review
- A retrospective study on side effects of first-line antiretroviral drugs on HIV patients based on 1A, 2A, and 5A regimen records at Zomba Central Hospital, Malawi.African health sciences · 2023Article
- Profiling malaria infection among under-five children in the Democratic Republic of Congo.PloS one · 2021Article
- Identifying groups of people with similar sociobehavioural characteristics in Malawi to inform HIV interventions: a latent class analysis.Journal of the International AIDS Society · 2020Article
- Spatial analysis of factors associated with HIV infection in Malawi: indicators for effective prevention.BMC public health · 2020Article
- Loneliness, hopelessness and suicide in later life: a case-control psychological autopsy study in rural China.Epidemiology and psychiatric sciences · 2020Article
- Predictors of high HIV+ prevalence in Mozambique: A complex samples logistic regression modeling and spatial mapping approaches.PloS one · 2020Article
- A Chart Review Study of Sexually Transmitted Infections Among Persons Living with HIV Attending an STI Clinic in Trinidad.Journal of the International Association of Providers of AIDS CareArticle
Corrections and comments
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Authors and funding
5 authors at 5 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo identify HIV-socioeconomic predictors as well as the most-at-risk groups of women in Malawi.
designA cross-sectional survey.
settingMalawi
participantsThe study used a sample of 6395 women aged 15-49 years from the 2010 Malawi Health and Demographic Surveys. INTERVENTIONS N/A PRIMARY AND SECONDARY OUTCOME MEASURES: Individual HIV status: positive or not.
resultsFindings from the Pearson χ(2) and χ(2) Automatic Interaction Detector analyses revealed that marital status is the most significant predictor of HIV. Women who are no longer in union and living in the highest wealth quintiles households constitute the most-at-risk group, whereas the less-at-risk group includes young women (15-24) never married or in union and living in rural areas.
conclusionsIn the light of these findings, this study recommends: (1) that the design and implementation of targeted interventions should consider the magnitude of HIV prevalence and demographic size of most-at-risk groups. Preventive interventions should prioritise couples and never married people aged 25-49 years and living in rural areas because this group accounts for 49% of the study population and 40% of women living with HIV in Malawi; (2) with reference to treatment and care, higher priority must be given to promoting HIV test, monitoring and evaluation of equity in access to treatment among women in union disruption and never married or women in union aged 30-49 years and living in urban areas; (3) community health workers, households-based campaign, reproductive-health services and reproductive-health courses at school could be used as canons to achieve universal prevention strategy, testing, counselling and treatment.
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Registered trials
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.