Dataset Information

A novel electronic data collection system for large-scale surveys of neglected tropical diseases.

ABSTRACT:

Background

Large cross-sectional household surveys are common for measuring indicators of neglected tropical disease control programs. As an alternative to standard paper-based data collection, we utilized novel paperless technology to collect data electronically from over 12,000 households in Ethiopia.

Methodology

We conducted a needs assessment to design an Android-based electronic data collection and management system. We then evaluated the system by reporting results of a pilot trial and from comparisons of two, large-scale surveys; one with traditional paper questionnaires and the other with tablet computers, including accuracy, person-time days, and costs incurred.

Principle findings

The electronic data collection system met core functions in household surveys and overcame constraints identified in the needs assessment. Pilot data recorders took 264 (standard deviation (SD) 152 sec) and 260 sec (SD 122 sec) per person registered to complete household surveys using paper and tablets, respectively (P = 0.77). Data recorders felt a lack of connection with the interviewee during the first days using electronic devices, but preferred to collect data electronically in future surveys. Electronic data collection saved time by giving results immediately, obviating the need for double data entry and cross-correcting. The proportion of identified data entry errors in disease classification did not differ between the two data collection methods. Geographic coordinates collected using the tablets were more accurate than coordinates transcribed on a paper form. Costs of the equipment required for electronic data collection was approximately the same cost incurred for data entry of questionnaires, whereas repeated use of the electronic equipment may increase cost savings.

Conclusions/significance

Conducting a needs assessment and pilot testing allowed the design to specifically match the functionality required for surveys. Electronic data collection using an Android-based technology was suitable for a large-scale health survey, saved time, provided more accurate geo-coordinates, and was preferred by recorders over standard paper-based questionnaires.

SUBMITTER: King JD

PROVIDER: S-EPMC3774718 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Publications

A novel electronic data collection system for large-scale surveys of neglected tropical diseases.

King Jonathan D JD Buolamwini Joy J Cromwell Elizabeth A EA Panfel Andrew A Teferi Tesfaye T Zerihun Mulat M Melak Berhanu B Watson Jessica J Tadesse Zerihun Z Vienneau Danielle D Ngondi Jeremiah J Utzinger Jürg J Odermatt Peter P Emerson Paul M PM

PloS one 20130916 9

<h4>Background</h4>Large cross-sectional household surveys are common for measuring indicators of neglected tropical disease control programs. As an alternative to standard paper-based data collection, we utilized novel paperless technology to collect data electronically from over 12,000 households in Ethiopia.<h4>Methodology</h4>We conducted a needs assessment to design an Android-based electronic data collection and management system. We then evaluated the system by reporting results of a pilo ...[more]

PMID: 24066147

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Project description:BackgroundControl of preventive chemotherapy-targeted neglected tropical diseases (PC-NTDs) relies on strengthened health systems. Efficient health information systems provide an impetus to achieving the sustainable development goal aimed at ending PC-NTD epidemics. However, there is limited assessment of surveillance system functions linked to PC-NTDs and hinged on optimum performance of surveillance system attributes. The study aimed to evaluate surveillance system attributes based on healthcare workers' perceptions in relation to PC-NTDs endemic in Kenya.MethodsA cross-sectional health facility survey was used to purposively sample respondents involved in disease surveillance activities. Consenting respondents completed a self-administered questionnaire that assessed their perceptions on surveillance system attributes on a five-point likert scale. Frequency distributions for each point in the likert scale were analysed to determine health workers' overall perceptions. Data was analysed using descriptive statistics and estimated median values with corresponding interquartile ranges used to summarise reporting rates. Factor analysis identified variables measuring specific latent attributes. Pearson's chi-square and Fisher's exact tests examined associations between categorical variables. Thematic analysis was performed for questionnaire open-ended responses.ResultsMost (88%) respondents worked in public health facilities with 71% stationed in second-tier facilities. Regarding PC-NTDs, respondents perceived the surveillance system to be simple (55%), acceptable (50%), stable (41%), flexible (41%), useful (51%) and to provide quality data (25%). Facility locality, facility type, respondents' education level and years of work experience were associated with perceived opinion on acceptability (p = 0.046; p = 0.049; p = 0.032 and p = 0.032) and stability (p = 0.030; p = 0.022; p = 0.015 and p = 0.024) respectively. Median monthly reporting timeliness and completeness rates for facilities were 75 (58.3, 83.3) and 83.3 (58.3, 100) respectively. Higher-level facilities met reporting timeliness (p < 0.001) and completeness (p < 0.001) thresholds compared to lower-level facilities.ConclusionHealth personnel had lower perceptions on the stability, flexibility and data quality of the surveillance system considering PC-NTDs. Reporting timeliness and completeness rates decreased in 2017 compared to previous surveillance periods. Strengthening all surveillance functions would influence health workers' perceptions and improve surveillance system overall performance with regard to PC-NTDs.

Project description:BackgroundSubcutaneous (deep) mycoses are a chronic infectious disease of the skin and underlying structures endemic in tropical countries. The disease has serious medical and socioeconomic consequences for patients, communities and health services in endemic areas. The inclusion of mycetoma and other subcutaneous mycoses in the list of Neglected Tropical Diseases by WHO highlights the need to assess the burden of these diseases and establish control programs where necessary. In Ethiopia no strategies can be devised because of a lack of epidemiologic information. To address this evidence gap, we performed a national rapid assessment of the geographic distribution of subcutaneous mycoses.MethodologyWe conducted a rapid retrospective assessment using hospital records to identify all suspected and confirmed cases of subcutaneous mycoses in 13 referral hospitals across the country between 2015 and 2022. In each hospital the logbooks were reviewed for diagnoses of subcutaneous mycosess, as diagnosed per routine practice. Descriptive analysis was done.ResultFrom 13 hospitals we extracted 143 cases of subcutaneous mycoses, registered from July 2018 to September 2022. 118 (82.5%) patients were diagnosed as mycetoma, 21 (14.7%) as chromoblastomycosis and the remaining 4 (2.8%) as sporotrichosis. The mean age of patients was 35.8 years (SD = 14.5). 101 (70.6%) patients were male and 96 (67.1%) patients were farmers. 64 (44.8%) cases were from the Tigray regional state. 56 (65.9%) patients had information on diagnostic microscopic evaluation: for mycetoma histopathologic evaluation and fine needle aspiration cytology had a higher positivity rate while for chromoblastomycosis potassium hydroxide (KOH) staining had a better yield. The main clinical presentations were nodules, sinuses and infiltrative plaques on the skin. Radiologic findings of bone involvement was present in some.ConclusionsMycetoma and other subcutaneous mycoses are endemic in Ethiopia, with cases reported from almost all regions with the highest cases numbers reported from the northern part of the country. A routine program and systems should be developed to identify and document the burden of subcutaneous fungal infections in the country. Diagnosis and treatment guidelines should be developed.

Dataset Information

A novel electronic data collection system for large-scale surveys of neglected tropical diseases.

Background

Methodology

Principle findings

Conclusions/significance

Publications

A novel electronic data collection system for large-scale surveys of neglected tropical diseases.

Similar Datasets

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