Factors associated with adequate weekly reporting for disease surveillance data among health facilities in Nairobi County, Kenya, 2013

Mwatondo, Athman; Ng’ang’a, Zipporah; Maina, Caroline Wanjiku; Makayotto, Lindah; Mwangi, Moses; Njeru, Ian; Arvelo, Wences

doi:10.11604/pamj.2016.23.165.8758

Cited by 40 publications

(94 citation statements)

References 11 publications

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“…Contrarily, the regional surveillance levels in Ghana took up the responsibility of reproducing and distributing reporting forms, hence reducing the burden to incur reproduction costs on the lower reporting levels [62]. In line with our study ndings on irregular reporting methods, inconsistent use of various reporting channels results to inaccuracies in the compiled surveillance reports [29,53]. Use of varied reporting channels especially at the health facility level hindered effective retrieval of previously reported PC-NTDs data with some of the health workers using paper-based reports while others transmitted reports using mobile phones.…”

Section: Discussionsupporting

confidence: 77%

“…Moreover, lack of simpli ed surveillance tools limits the overall performance of surveillance and response systems [40]. Other previous studies showed that availing the relevant reporting tools improved surveillance performance at the health facility level [29,46,60]. Further ndings from the current study demonstrated that lack of adequate reporting tools and training on proper reporting demotivated health workers engagement in the surveillance system [50].…”

Section: Discussionmentioning

confidence: 76%

“…These reports are submitted to CHEWs to undertake data veri cation, consolidation and data summaries for onward submission to the health facility chalkboard and further to the upper levels for entry into the DHIS2 [28]. The requirement for reporting weekly IDSR data at the health facility level is submission of original copy of reports by Monday of the following week [11,29]. The health worker concerned can either submit weekly IDSR data through hardcopy report delivery or orally through a phone call.…”

Section: Surveillance System Functioningmentioning

confidence: 99%

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Assessment of surveillance core and support functions regarding neglected tropical diseases in Kenya

Ng'etich

Voyi

Mutero

2020

Preprint

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Background: Effective surveillance and response systems are vital to achievement of disease control and elimination goals. Kenya adopted the revised guidelines of the integrated disease surveillance and response system in 2012. Previous assessments of surveillance system core and support functions in Africa are limited to notifiable diseases with minimal attention given to neglected tropical diseases amenable to preventive chemotherapy (PC-NTDs). The study aimed to assess surveillance system core and support functions relating to PC-NTDs in Kenya. Methods: A mixed method cross-sectional survey was adapted involving 192 health facility workers, 50 community-level health workers and 44 sub-national level health personnel. Data was collected using modified World Health Organization generic questionnaires, observation checklists and interview schedules. Descriptive summaries, tests of associations using Pearson’s Chi-square or Fisher’s exact tests and mixed effects regression models were used to analyse quantitative data. Qualitative data derived from interviews with study participants were coded and analysed thematically. Results: Detection of PC-NTDs was minimal at the peripheral level with limited (60%) use of standard case definitions. Case registration and confirmation capacities were suboptimal at the lower levels with 52% of facilities having functional laboratories. Presence of well-equipped laboratories (p = 0.007), provision for PC-NTDs in reporting forms (p = 0.004) and training of personnel on surveillance (p<0.001) were associated with higher odds of having a functional surveillance system. Lower levels lacked sufficient action thresholds and feedback was limited across all surveillance levels. Supervisory visits frequency at the community (73%) and facility (53%) levels were minimal. Challenges facing PC-NTDs surveillance activities implementation revealed through qualitative data included lack of surveillance guidelines and reporting tools, minimal data analysis, inconsistent feedback, limited supervisory activities, minimal training and low resource provision. Conclusions: Sufficient milestones have been achieved towards improving performance of surveillance functions in Kenya. However, challenges exist relating to PC-NTDs. Core functions including case detection, registration and confirmation, reporting, data analysis and feedback perform sub-optimally at the facility and community levels. Additionally, support functions including standards and guidelines, supervision, training and resources are particularly weak at the sub-national level. Improved PC-NTDs surveillance performance sub-nationally requires strengthened capacities.

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Section: Discussionsupporting

confidence: 77%

Section: Discussionmentioning

confidence: 76%

Section: Surveillance System Functioningmentioning

confidence: 99%

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Assessment of surveillance core and support functions regarding neglected tropical diseases in Kenya

Ng'etich

Voyi

Mutero

2020

Preprint

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“…This result is below the target of 80% given in the WHO IDSR. 16 It is also lower compared to the result of a study done in Ethiopia which that more than 80% of centres rendered malaria reports according to the IDSR system, and the study done at Jeddah which reported 86%. 12,17…”

Section: Discussionmentioning

confidence: 73%

A 5-year assessment of malaria documentation and reporting practices in government healthcare facilities in Lagos, Nigeria

Adeniran

Wright

Odugbemi

et al. 2019

Int J Community Med Public Health

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Background: Robust and effective information management systems are critical for successful malaria control and elimination. This study was a follow up study to assess the practices of Lagos State public healthcare facilities with regards to malaria documentations and reporting to the local government authorities (LGAs) in Lagos Nigeria in 2009 and then in 2013.Methods: We conducted a descriptive cross-sectional repeated survey of all 218 functional government-owned health facilities in Lagos State between in years 2009 and 2013 using a structured questionnaire. Approval was obtained from the research ethics committee of the Lagos State Ministry of Health.Results: There was a decrease in the proportion of primary & secondary healthcare facilities that document all cases of malaria seen in the facilities from 97.9% and 95.5% respectively in 2009 to 91.5% and 85.7% in 2013. About 53% of the primary healthcare facilities rendered malaria data to the Local Government Area (LGA) using the IDSR system in 2009 which marginally increase to 62.4% in 2013. Whereas in 2009, 63.6% of secondary healthcare facilities rendered malaria data to the LGA whilst 50% did in 2013. The only Tertiary health facility in the state did not render malaria data to the LGA in 2009 but did in 2013.Conclusions: There was a gradual reduction in malaria documentation by the government healthcare facilities. Therefore, there is need to intensify training among health workers in the government health facilities in the state with continuous monitoring and evaluation of performance to determine the impact.

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“…Good data quality remains a challenge especially in low resource settings. Assessments of implementation of IDSR in African countries have identi ed data quality issues such as late reporting [11], incomplete reporting [12] and data inconsistencies across reporting levels [13]. However, repeated assessments, feedback, data management trainings appear to improve data quality over time.…”

Section: Introductionmentioning

confidence: 99%

Institutionalized Data Quality Assessments: A Critical Pathway to Improving the Accuracy of Integrated Disease Surveillance Data in Sierra Leone

Njuguna¹,

Vandi²,

Mugagga

et al. 2020

Preprint

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Background Public health agencies require valid, timely and complete health information for early detection of outbreaks. Towards the end of the Ebola Virus Disease (EVD) outbreak in 2015, the Ministry of Health and Sanitation (MoHS), Sierra Leone revitalized the Integrated Disease Surveillance and Response System (IDSR). Data quality assessments were conducted to monitor accuracy of IDSR data. Methods Starting 2016, data quality assessments (DQA) were conducted in randomly selected health facilities. Structured electronic checklist was used to interview district health management teams (DHMT) and health facility staff. We used malaria data, to assess data accuracy, as malaria was endemic in Sierra Leone. Verification factors (VF) calculated as the ratio of confirmed malaria cases recorded in health facility registers to the number of malaria cases in the national health information database, were used to assess data accuracy. Allowing a 5% margin of error, VF <95% were considered over reporting while VF >105 was underreporting. Differences in the proportion of accurate reports at baseline and subsequent assessments were compared using Z-test for two proportions. Results: Between 2016 -2018, four DQA were conducted in 444 health facilities where 1,729 IDSR reports were reviewed. Registers and IDSR technical guidelines were available in health facilities and health care workers were conversant with reporting requirements. Overall data accuracy improved from over- reporting of 4.7% (VF 95.3%) in 2016 to under-reporting of 0.2% (VF 100.2%) in 2018. Compared to 2016, proportion of accurate IDSR reports increased by 14.8 % (95% CI 7.2%, 22.3%) in May 2017 and 19.5% (95% CI 12.5% -26.5%) by 2018. Over reporting was more common in private clinics and not- for profit facilities while under-reporting was more common in lower level government health facilities. Leading reasons for data discrepancies included counting errors in 358 (80.6%) health facilities and missing source documents in 47 (10.6%) health facilities. Conclusion This is the first attempt to institutionalize routine monitoring of IDSR data quality in Sierra Leone. Regular data quality assessments may have contributed to improved data accuracy over time. Data compilation errors accounted for most discrepancies and should be minimized to improve accuracy of IDSR data.

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Factors associated with adequate weekly reporting for disease surveillance data among health facilities in Nairobi County, Kenya, 2013

Cited by 40 publications

References 11 publications

Assessment of surveillance core and support functions regarding neglected tropical diseases in Kenya

Assessment of surveillance core and support functions regarding neglected tropical diseases in Kenya

A 5-year assessment of malaria documentation and reporting practices in government healthcare facilities in Lagos, Nigeria

Institutionalized Data Quality Assessments: A Critical Pathway to Improving the Accuracy of Integrated Disease Surveillance Data in Sierra Leone

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