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1.
Glob Health Action ; 11(1): 1440782, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-29502484

RESUMEN

Many resource-limited countries are scaling up health services and health-information systems (HISs). The HIV Cascade framework aims to link treatment services and programs to improve outcomes and impact. It has been adapted to HIV prevention services, other infectious and non-communicable diseases, and programs for specific populations. Where successful, it links the use of health services by individuals across different disease categories, time and space. This allows for the development of longitudinal health records for individuals and de-identified individual level information is used to monitor and evaluate the use, cost, outcome and impact of health services. Contemporary digital technology enables countries to develop and implement integrated HIS to support person centred services, a major aim of the Sustainable Development Goals. The key to link the diverse sources of information together is a national health identifier (NHID). In a country with robust civil protections, this should be given at birth, be unique to the individual, linked to vital registration services and recorded every time that an individual uses health services anywhere in the country: it is more than just a number as it is part of a wider system. Many countries would benefit from practical guidance on developing and implementing NHIDs. Organizations such as ASTM and ISO, describe the technical requirements for the NHID system, but few countries have received little practical guidance. A WHO/UNAIDS stake-holders workshop was held in Geneva, Switzerland in July 2016, to provide a 'road map' for countries and included policy-makers, information and healthcare professionals, and members of civil society. As part of any NHID system, countries need to strengthen and secure the protection of personal health information. While often the technology is available, the solution is not just technical. It requires political will and collaboration among all stakeholders to be successful.


Asunto(s)
Países en Desarrollo , Salud Global , Sistemas de Información/organización & administración , Costos y Análisis de Costo , Infecciones por VIH/tratamiento farmacológico , Infecciones por VIH/epidemiología , Humanos
2.
Sex Transm Infect ; 87(4): 283-8, 2011 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-21459898

RESUMEN

BACKGROUND: More insight is needed regarding risk factors for prevalent and incident HIV-1 infection among male farm workers in Sub-Saharan Africa to control the HIV-1 epidemic. METHODS: Male farm workers were recruited from a sugar estate in Zambia to participate in a prospective cohort study. Questionnaire data were collected via interview, and testing was conducted for HIV-1, herpes simplex virus type 2 (HSV-2), and syphilis infection at baseline and follow-up between May 2006 and September 2007. RESULTS: Among 1062 workers enrolled, HIV-1 prevalence at baseline was 20.7%. Testing HSV-2 seropositive (adjusted odds ratio (AOR) 5.4, 95% CI 3.6 to 8.1), self-reported genital ulcers in the past year (AOR 2.8, 95% CI 1.9 to 4.2), and being widowed (AOR 3.7, 95% CI 2.0 to 6.9) were significantly associated with prevalent HIV-1 infection. The HIV-1 incidence among 731 initially negative participants with at least one follow-up visit was 4.1 per 1000 person-months (95% CI 2.6 to 5.7); seroconversion was independently associated with prevalent HSV-2 infection (adjusted hazard ratio (AHR) 2.4, 95% CI 1.0 to 5.8) and incident HSV-2 infection (AHR 18.0, 95% CI 4.2 to 76.3). HIV-1 prevalence and incidence rates were similar among migrant and non-migrant workers. CONCLUSIONS: HIV-1 prevalence and incidence were high, and HSV-2 infection was a risk factor for HIV-1 acquisition. There is an urgent need to expand HIV-1 prevention programmes tailored to farm workers and their communities.


Asunto(s)
Enfermedades de los Trabajadores Agrícolas/epidemiología , Infecciones por VIH/epidemiología , VIH-1 , Herpes Simple/epidemiología , Herpesvirus Humano 2 , Migrantes/estadística & datos numéricos , Adulto , Anciano , Humanos , Incidencia , Masculino , Persona de Mediana Edad , Prevalencia , Estudios Prospectivos , Factores de Riesgo , Adulto Joven , Zambia/epidemiología
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