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1.
BMC Infect Dis ; 13: 168, 2013 Apr 08.
Artículo en Inglés | MEDLINE | ID: mdl-23566166

RESUMEN

BACKGROUND: Tuberculosis (TB) is still a great challenge to public health in sub-Saharan Africa. Most transmissions occur between the onset of coughing and initiation of treatment. Delay in diagnosis is significant to disease prognosis, thus early diagnosis and prompt effective therapy represent the key elements in controlling the disease. The objective of this study was to investigate the factors influencing the patient delay and the health system delay in TB diagnosis in Angola. METHODS: On a cross-sectional study, 385 TB patients who visited 21 DOTS clinics in Luanda were included consecutively. The time from the onset of symptoms to the first consultation of health providers (patients' delay) and the time from the first consultation to the date of diagnosis (health system's delay) were analysed. Bivariate and logistics regression were applied to analyse the risk factors of delays. RESULTS: The median total time elapsed from the onset of symptoms to diagnosis was 45 days (interquartile range [IQR]: 21-97 days). The median patient delay was 30 days (IQR: 14-60 days), and the median health care system delay was 7 days (IQR: 5-15 days). Primary education (AOR = 1.75; CI [95%] 1.06-2.88; p <0.029) and the health centre of the first contact differing from the DOTS centre (AOR = 1.66; CI [95%] 1.01-2.75; p <0.046) were independent risk factors for patient delay >4 weeks. Living in a suburban area (AOR = 2,32; CI [95%] 1.21-4.46; p = 0.011), having a waiting time in the centre >1 hour (AOR = 4.37; CI [95%] 1.72-11.14; p = 0.002) and the health centre of the first contact differening from the DOTS centre (AOR = 5.68; CI [95%] 2.72-11,83; p < 0,00001) were factors influencing the system delay. CONCLUSIONS: The results indicate that the delay is principally due to the time elapsed between the onset of symptoms and the first consultation. More efforts should be placed in ensuring the availability of essential resources and skills in all healthcare facilities other than the DOTS centres, especially those located in suburban areas.


Asunto(s)
Diagnóstico Tardío , Atención a la Salud/organización & administración , Tuberculosis Pulmonar/diagnóstico , Adulto , Angola , Estudios Transversales , Diagnóstico Precoz , Escolaridad , Femenino , Humanos , Masculino , Factores de Riesgo , Factores de Tiempo
2.
Front Public Health ; 10: 745928, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35433613

RESUMEN

TB Programs should promote the use of digital health platforms, like Electronic Medical Records (EMR) to collect patients' information, thus reducing data incompleteness and low accuracy and eventually improving patients' care. Nevertheless, the potential of digital health systems remains largely unexploited in low-resource settings. Angola is one of the 14 countries with a triple burden of TB, TB/HIV and MDR-TB (multidrug-resistant TB) and it is among the three countries, together with Congo and Liberia that have never completed a drug-resistance survey so far. The Sanatorium Hospital of Luanda and the Tuberculosis Dispensary of Luanda are the two reference health facilities in Luanda dealing with most of the TB cases, and they both rely entirely on paper-based data collection. The aim of this paper is to describe a three-stage process for the development of a TB EMR system in these two health facilities of Luanda and to share the lessons learned. The description is focused on the activities that took place from March 2019 to January 2020. Main lessons learned were identified in the importance of engaging all the stakeholders in the development process, in the mainstream of the "think digital" transition, in the promotion of a monitoring and evaluation (M&E) culture and in the planning of the system's sustainability. This approach may be replicated in similar contexts where the development of a TB EMR system is sought, and the lessons learned could assist and facilitate the programming of the interventions.


Asunto(s)
Registros Electrónicos de Salud , Tuberculosis , Angola/epidemiología , Recolección de Datos , Hospitales , Humanos , Tuberculosis/epidemiología , Tuberculosis/prevención & control
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