Background: Improving capacities of health systems to quickly respond to emerging health issues, requires a health information system (HIS) that facilitates evidenceinformed decision-making at the operational level. In many sub-Saharan African countries, HIS are mostly designed to feed decision-making purposes at the central level with limited feedback and capabilities to take action from data at the operational level. This article presents the case of an eHealth innovation designed to capacitate health district management teams (HDMTs) through participatory evidence production and peer-to-peer exchange. Methods:We used an action research design to develop the eHealth initiative called "District.Team," a web-based and facilitated platform targeting HDMTs that was tested in Benin and Guinea from January 2016 to September 2017. On District.Team, rounds of knowledge sharing processes were organized into cycles of five steps. Quantitative and qualitative data were collected to assess the participation of HDMTs and identify enablers and barriers of using District.Team.Results: Participation of HDMTs in District.Team varied between cycles and steps.In Benin, 79% to 94% of HDMTs filled in the online questionnaire per cycle compared to 61% to 100% in Guinea per cycle. In Benin, 26% to 41% of HDMTs shared a commentary on the results published on the platform while 21% to 47% participated in the online discussion forum. In Guinea, only 3% to 8% of HDMTs shared a commentary on the results published on the platform while 8% to 74% participated in the online discussion forum. Five groups of factors affected the participation: characteristics of the digital tools, the quality of the facilitation, profile of participants, shared content and data, and finally support from health authorities.
BackgroundIndia contributes ~60% to the global leprosy burden. The country implements 14-day community-based leprosy case detection campaigns (LCDC) periodically in all high endemic states. Paramedical staff screen the population and medical officers of primary health centres (PHCs) diagnose and treat leprosy cases. Several new cases were detected during the two LCDCs held in September-2016 and February-2018. Following these LCDCs, a validation exercise was conducted in 8 Primary health centres (PHCs) of 4 districts in Bihar State by an independent expert group, to assess the correctness of case diagnosis. Just before the February 2018 LCDC campaign, we conducted an “appreciative inquiry” (AI) involving the health care staff of these 8 PHCs using the 4-D framework (Discovery-Dream-Design-Destiny).ObjectivesTo assess whether the incorrect case diagnosis (false positive diagnosis) reduced as a result of AI in the 8 PHCs between the two LCDC conducted in September-2016 and February-2018.Methodology/principal findingsA three-phase quantitative-qualitative-quantitative mixed methods research (embedded design) with the two validation exercises conducted following September-2016 and February-2018 LCDCs as quantitative phases and AI as qualitative phase. In September-2016 LCDC, 303 new leprosy cases were detected, of which 196 cases were validated and 58 (29.6%) were false positive diagnosis. In February-2018 LCDC, 118 new leprosy cases were detected of which 96 cases were validated and 22 cases (23.4%) were false positive diagnosis. After adjusting for the age, gender, type of cases and individual PHCs fixed effects, the proportion of false positive diagnosis reduced by -9% [95% confidence intervals (95%CI): -20.2% to 1.7%, p = 0.068]ConclusionFalse positive diagnosis is a major issue during LCDCs. Though the decline in false positive diagnosis is not statistically significant, the findings are encouraging and indicates that appreciative inquiry can be used to address this deficiency in programme implementation.
BACKGROUND Improving capacities of health systems to quickly respond to emerging health issues, requires a health information system (HIS) that facilitates evidence-informed decision-making at the operational level. In many sub-Saharan African countries, HIS are mostly designed to feed decision-making purposes at the central level with limited feedbacks and capabilities to take action from data at the operational level. OBJECTIVE This paper presents the case of an e-health innovation designed to capacitate health district management teams (HDMTs) through participatory evidence production and peer-to-peer exchange. METHODS With an action-research design, we developed District.team, a web-based and facilitated platform targeting HDMTs. On District.team, knowledge sharing processes are organized in cycles. Each cycle has fundamentally five steps: i) identification of a health issue to investigate together; ii) development of the online questionnaire by the facilitation team; iii) completion of the questionnaire by the HDMTs; iv) data analysis, production and publication of results; and v) discussion of results on the online discussion forum. This initiative was tested in Benin and Guinea from January 2016 to September 2017. The action-research methodology allowed us to progressively improve the approach. The evaluation rests on mixed methods data collection techniques including data extraction from intermediary reports, web analytics, nine focus groups and 18 semi-structured interviews of key stakeholders. Besides the documentation of the level of participation on the platform, we have collected data on the barriers and enablers affecting the participation of the district medical teams. RESULTS Participation on the platform was good. District.team improved explicit (data) and tacit (experience and exchange) knowledge exchange among HDMT members in Benin and Guinea. Five groups of factors affect participation: characteristics of the digital tools, the facilitation effort, profile of participants, shared content and data and support by the leadership from health authorities. CONCLUSIONS District.team has shown that there is room for knowledge management platforms and processes valuing horizontal knowledge sharing among peers active at the decentralized levels of health systems in poor resource settings. We recommend health authorities to promote the integration of such initiatives in existing health information system platforms.
Tuberculosis (TB) is a global outbreak whose drug resistance is a constant threat. This study aimed at describing anti-TB drugs resistance and treatment outcomes among retreatment TB patients in Guinea between 2008 and 2012. We conducted a retrospective cohort study with a sample of 558 patients aged of at least 10, who were admitted for TB retreatment and who were tested for anti-TB drugs susceptibility during the study period. Overall, 3187 retreatment TB patients were recorded from January 1, 2008 to December 31, 2012 in Guinea, of which 558 (17.5%) performed susceptibility testing to anti-TB drugs. We found overall resistance in 417 cases (74.7%) including 356 (85.4%) of multidrug resistance (MDR), 29 (6.9%) of monoresistance (isoniazid 2.9%, streptomycin 2.9%, rifampicin 0.9%, ethambutol 0.2%) and 32 (7.7% of polydrug resistance (isoniazid + streptomycin 4.3%, rifampicin + streptomycin 1.4%, isoniazid + ethambutol + streptomycin 1.0%, rifampicin + ethambutol + streptomycin 1.0%). Most of the patients (84.6%) with anti-TB drugs resistance were under 45 and labourers were mostly represented (27.8%) including drivers in majority (37.9%). MDR-TB incidence rate increased by 12.2% between 2008 (65.6%) and 2012 (77.8%), and the annual cure rate decreased gradually from 60.0% in 2009 to 45.7% in 2012. Among MDR-TB patients (n= 356), only 112 (31.5%) benefited from second-line treatment regimen, of which, 51.7% were cured, 6.3% completed treatment, 24.1% died, 6.3% were lost to follow-up and 11.6% were not evaluated. The cure rate was higher in HIV-negative patients (55.3%) than in those who were HIV-positive (35.3%) and the death rate was the highest (41.2%) in HIV-positive patients. Overall, treatment success rate was 58.0%. This study revealed a low rate of performing drug susceptibility testing, the gradual increase of the incidence of MDR-TB each year and the gradual decrease of cure rate from year to year. Besides, anti-TB drugs resistance concerned mostly drivers in our context. Prospective studies are needed for a deep understanding of the factors associated with these persistent challenges.
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