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BACKGROUND: The study assessed whether a "7-1-7" timeliness metric for screening and TB preventive therapy (TPT) could be implemented for household contacts (HHCs) of index patients with bacteriologically confirmed pulmonary TB under routine programmatic settings in Kenya. METHODS: A longitudinal cohort study conducted among index patients and their HHCs in 12 health facilities, Kiambu County, Kenya. RESULTS: Between January and June 2023, 95% of 508 index patients had their HHCs line-listed within 7 days of initiating anti-TB treatment ("First 7"). In 68% of 1,115 HHCs, screening outcomes were ascertained within 1 day of line-listing ("Next 1"). In 65% of 1,105 HHCs eligible for further evaluation, anti-TB treatment, TPT or a decision for no drugs was made within 7 days of screening ("Second 7"). Altogether, 62% of screened HHCs started TPT during the "7-1-7" period compared with 58% in a historical cohort. Main barriers to TPT uptake were HHCs not consulting clinicians, HHCs being unwilling to initiate TPT and drug shortages. Healthcare workers felt that a timeliness metric was valuable for streamlining HHC management and proposed "3-5-7" as a workable alternative. CONCLUSIONS: The national TB programme must generate awareness about TPT, ensure uninterrupted drug supplies and assess whether the "3-5-7" metric can be operationalised.
CONTEXTE: L'étude a évalué si une mesure de rapidité "7-1-7" pour le dépistage et le traitement préventif de la TB (TPT) pouvait être mise en Åuvre pour les contacts familiaux des patients index atteints de TB pulmonaire confirmée bactériologiquement dans le cadre d'un programme de routine au Kenya. MÉTHODES: Étude de cohorte longitudinale menée auprès de patients index et de leurs contacts familiaux dans 12 établissements de santé du comté de Kiambu, au Kenya. RÉSULTATS: Entre janvier et juin 2023, 95% des 508 patients index ont eu leur centre de santé inscrit sur la liste dans les 7 jours suivant le début du traitement antituberculeux (« First 7 ¼ ). Dans 68% des 1 115 centres de santé, les résultats du dépistage ont été vérifiés dans le jour suivant l'inscription sur la liste (« Next 1 ¼). Dans 65% des 1 105 centres de santé éligibles pour une évaluation plus approfondie, le traitement antituberculeux, le TPT ou la décision de ne pas prendre de médicaments a été prise dans les 7 jours suivant le dépistage (« Second 7 ¼). Au total, 62% des patients dépistés ont commencé un traitement antituberculeux au cours de la période « 7-1-7 ¼, contre 58% dans une cohorte historique. Les principaux obstacles à l'adoption du TPT étaient les suivants : les centres de santé ne consultaient pas les cliniciens, les centres de santé n'étaient pas disposés à commencer le TPT et les pénuries de médicaments. Les professionnels de la santé ont estimé qu'une mesure de la rapidité d'exécution était utile pour rationaliser la gestion des centres de santé et ont proposé le « 3-5-7 ¼ comme solution de rechange viable. CONCLUSION: Le programme national de lutte contre la TB doit sensibiliser au TPT, garantir un approvisionnement ininterrompu en médicaments et évaluer si la mesure « 3-5-7 ¼ peut être mise en Åuvre.
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Busca de Comunicante , Tuberculose Pulmonar , Humanos , Setor Privado , Índia/epidemiologia , Tuberculose Pulmonar/diagnóstico , Tuberculose Pulmonar/epidemiologia , Tuberculose Pulmonar/prevenção & controle , Programas de Rastreamento/métodosRESUMO
INTRODUCTION: Electronic medical record (EMR) systems can yield many benefit; however, facilities need to meet certain requirements before they are able to successfully implement an EMR. We evaluated the feasibility and utility of conducting EMR readiness assessments (ERAs) to assess readiness of public facilities in Kenya for deployment of an EMR. METHOD: I-TECH supported the Ministry of Health to deploy KenyaEMR, an HIV/AIDS care and treatment EMR developed using the OpenMRS platform, at over 300 healthcare facilities in Kenya. The ERA tool was designed to assess site readiness for KenyaEMR deployment. The assessments measured health facility internal environment in terms of available resources, security, technical infrastructure, and leadership buy-in and support from MOH and stakeholders for EMR implementation. RESULTS: From September 2012 to September 2014, a total of 381facilities received at least one ERA. Of these, 343facilities were rated as highly or moderately prepared to adopt an EMR system and proceeded to EMR deployment. 61% of these sites were set up to implement KenyaEMR at point of care, while 39% were set up to implement KenyaEMR for retrospective data entry. Across 38facilities not implemented with an EMR, common reasons that prevented the implementation were lack of reliable power, security issues such as lack of grills on the windows and un-lockable doors, and existence of another EMR system at the site. CONCLUSIONS: ERAs conducted in a single day site visit were feasible and were instrumental in determining facilities' EMR implementation decision. Performing ERAs stimulated engagement of facility-level personnel to cultivate a fertile environment for EMR adoption and ownership. The assessments further assisted in resource mobilization, remediation of barriers to deployment, and increased buy-in from Ministry of Health leadership to support EMR implementation work.
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Sistemas de Apoio a Decisões Clínicas/estatística & dados numéricos , Registros Eletrônicos de Saúde/estatística & dados numéricos , Infecções por HIV/terapia , HIV-1/isolamento & purificação , Instalações de Saúde/normas , Implementação de Plano de Saúde , Humanos , Quênia , Liderança , Estudos RetrospectivosRESUMO
OBJECTIVES: To assess availability and completeness of data collected before and after a data quality audit (DQA) in voluntary medical male circumcision (VMMC) sites in Zimbabwe to determine the effect of this process on data quality. SETTING: 4 of 10 VMMC sites in Zimbabwe that received a DQA in February, 2015 selected by convenience sampling. PARTICIPANTS: Retrospective reviews of all client intake forms (CIFs) from November, 2014 and May, 2015. A total of 1400 CIFs were included from those 2â months across four sites. PRIMARY AND SECONDARY OUTCOMES: Data availability was measured as the percentage of VMMC clients whose CIF was on file at each site. A data evaluation tool measured the completeness of 34 key CIF variables. A comparison of pre-DQA and post-DQA results was conducted using χ2 and t-tests. RESULTS: After the DQA, high record availability of over 98% was maintained by sites 3 and 4. For sites 1 and 2, record availability increased by 8.0% (p=0.001) and 9.7% (p=0.02), respectively. After the DQA, sites 1, 2 and 3 improved significantly in data completeness across 34 key indicators, increasing by 8.6% (p<0.001), 2.7% (p=0.003) and 3.8% (p<0.001), respectively. For site 4, CIF data completeness decreased by 1.7% (p<0.01) after the DQA. CONCLUSIONS: Our findings suggest that CIF data availability and completeness generally improved after the DQA. However, gaps in documentation of vital signs and adverse events signal areas for improvement. Additional emphasis on data completeness would help support high-quality programme implementation and availability of reliable data for decision-making.