Last data update: Mar 21, 2025. (Total: 48935 publications since 2009)
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Query Trace: Lote N[original query] |
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High prevalence of pre-treatment HIV drug resistance in Papua New Guinea: findings from the first nationally representative pre-treatment HIV drug resistance study.
Gare J , Toto B , Pokeya P , Le LV , Dala N , Lote N , John B , Yamba A , Soli K , DeVos J , Paulin H , Wagar N , Zheng DP , Nishijima T , Boas P , Kelly-Hanku A , Gurung A . BMC Infect Dis 2022 22 (1) 266 ![]() ![]() BACKGROUND: Determining the prevalence of pre-treatment HIV drug resistance (PDR) is important to assess the effectiveness of first-line therapies. To determine PDR prevalence in Papua New Guinea (PNG), we conducted a nationally representative survey. METHODS: We used a two-stage cluster sampling method to recruit HIV treatment initiators with and without prior exposure to antiretroviral therapies (ART) in selected clinics. Dried blood spots were collected and tested for PDR. RESULTS: A total of 315 sequences were available for analysis. The overall PDR prevalence rate was 18.4% (95% CI 13.8-24.3%). The prevalence of PDR to non-nucleoside analog reverse-transcriptase inhibitors (NNRTIs) was 17.8% (95% CI 13.6-23.0%) and of PDR to nucleoside reverse transcriptase inhibitors (NRTIs) was 6.3% (95% CI 1.6-17.1%). The PDR prevalence rate among people reinitiating ART was 42.4% (95% CI 29.1-56.4%). CONCLUSIONS: PNG has a high PDR prevalence rate, especially to NNRTI-based first-line therapies. Our findings suggest that removing NNRTIs as part of first-line treatment is warranted and will lead to improving viral suppression rates in PNG. |
National health information systems for achieving the Sustainable Development Goals
Suthar AB , Khalifa A , Joos O , Manders EJ , Abdul-Quader A , Amoyaw F , Aoua C , Aynalem G , Barradas D , Bello G , Bonilla L , Cheyip M , Dalhatu IT , De Klerk M , Dee J , Hedje J , Jahun I , Jantaramanee S , Kamocha S , Lerebours L , Lobognon LR , Lote N , Lubala L , Magazani A , Mdodo R , Mgomella GS , Monique LA , Mudenda M , Mushi J , Mutenda N , Nicoue A , Ngalamulume RG , Ndjakani Y , Nguyen TA , Nzelu CE , Ofosu AA , Pinini Z , Ramirez E , Sebastian V , Simanovong B , Son HT , Son VH , Swaminathan M , Sivile S , Teeraratkul A , Temu P , West C , Xaymounvong D , Yamba A , Yoka D , Zhu H , Ransom RL , Nichols E , Murrill CS , Rosen D , Hladik W . BMJ Open 2019 9 (5) e027689 OBJECTIVES: Achieving the Sustainable Development Goals will require data-driven public health action. There are limited publications on national health information systems that continuously generate health data. Given the need to develop these systems, we summarised their current status in low-income and middle-income countries. SETTING: The survey team jointly developed a questionnaire covering policy, planning, legislation and organisation of case reporting, patient monitoring and civil registration and vital statistics (CRVS) systems. From January until May 2017, we administered the questionnaire to key informants in 51 Centers for Disease Control country offices. Countries were aggregated for descriptive analyses in Microsoft Excel. RESULTS: Key informants in 15 countries responded to the questionnaire. Several key informants did not answer all questions, leading to different denominators across questions. The Ministry of Health coordinated case reporting, patient monitoring and CRVS systems in 93% (14/15), 93% (13/14) and 53% (8/15) of responding countries, respectively. Domestic financing supported case reporting, patient monitoring and CRVS systems in 86% (12/14), 75% (9/12) and 92% (11/12) of responding countries, respectively. The most common uses for system-generated data were to guide programme response in 100% (15/15) of countries for case reporting, to calculate service coverage in 92% (12/13) of countries for patient monitoring and to estimate the national burden of disease in 83% (10/12) of countries for CRVS. Systems with an electronic component were being used for case reporting, patient monitoring, birth registration and death registration in 87% (13/15), 92% (11/12), 77% (10/13) and 64% (7/11) of responding countries, respectively. CONCLUSIONS: Most responding countries have a solid foundation for policy, planning, legislation and organisation of health information systems. Further evaluation is needed to assess the quality of data generated from systems. Periodic evaluations may be useful in monitoring progress in strengthening and harmonising these systems over time. |
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