AVADAR Application: a learning model for designing a mobile-based disease surveillance system using participatory community reporting in Africa (Preprint)

2019 ◽  
Author(s):  
Godwin Akpan ◽  
Johnson Muluh Ticha ◽  
Lara M.F. Paige ◽  
Daniel Rasheed Oyaole ◽  
Patrick Briand ◽  
...  
Keyword(s):  
Community Participation ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Health Workers ◽  
Digital Health ◽  
Black Box ◽  
Project Planning ◽  
Acceptance Testing ◽  
Surveillance Strategy ◽  
Design And Implementation

BACKGROUND Acute Flaccid Paralysis (AFP) surveillance is the bedrock of polio case detection. The Auto Visual AFP Detection and Reporting (AVADAR) is a digital health intervention designed as a supplemental community surveillance system. OBJECTIVE This paper describes the design and implementation process that made AVADAR a successful disease surveillance strategy at the community level. METHODS This paper outlines the methods for the design and implementation of the AVADAR application. It explains the co-design of the application, the implementation of a helpdesk support structure, the process involved in trouble shooting the application, the benefits of utilizing a closed user group for telecommunication requirements, and the use of a consented video. We also describe how these features combined led to user acceptance testing using black box methodology. RESULTS A total of 198 community informants across two provinces, four districts and 32 settlements were interviewed about application performance, usability, security, load, stress and functionality testing black box components. The responses showed most community participants giving positive reviews. Data from the Blackbox testing yielded optimum acceptance ratings from over 90% of the users involved in the testing. A total of 22380 AFP Alerts were sent out by community informants and 21589 (95%) were investigated by health workers or WHO AVADAR coordinators. Overall there was 93% assimilation at regional level. About 83% of investigations were done in the vicinity of the alerts in 2018 compared to 77% in 2017. CONCLUSIONS AVADAR implementation model offers a simplistic step by step model that includes community participation as an integral tool for the successful deployment of a mobile based surveillance reporting tool. AVADAR can be a veritable source of project planning data and a mobile application for other interventions that target using community participation to influence health outcomes.

The Concept And Methods Of Community Participation In Animal And Human Disease Surveillance

2020 ◽  
Author(s):  
Musa Ibrahim Waziri ◽  
Kaltungo Bilkisu Yunusa
Keyword(s):  
Public Health ◽  
Community Participation ◽  
Disease Surveillance ◽  
Animal Health ◽  
Health Surveillance ◽  
Design And Implementation ◽  
Animal Diseases ◽  
Health Project ◽  
The Right ◽  
Animal Trade

Abstract Background: Animal health surveillance is essential to protecting public health, controlling animal diseases and accessing international animal trade with a view to ensuring food security. The practice of subsistent agriculture makes laboratory disease surveillance and statistics difficult or impracticable to implement. Many times, the information generated through conventional approach may not reflect true field situations. Therefore, animal health project interventions from conventional data may be difficult to implement. Community engagement, however, empowers and ensures lasting solutions to developmental challenges.Methods : Field experiences and a review of the origin, concepts, methods and tools of Participatory epidemiology (PE) in disease surveillance suggest their appropriate uses.Results : Community participation in animal and public health investigation, program design, implementation and monitoring is credited with ownership, acceptability and sustainability.Conclusion : This research highlights how and why participation is an essential component of a successful disease surveillance design and implementation. However, the success of any participatory program depends on understanding the bases and applications of the right tools.

scholarly journals The Surveillance Outbreak Response Management and Analysis System (SORMAS): Digital Health Global Goods Maturity Assessment (Preprint)

2019 ◽  
Author(s):  
Daniel Tom-Aba ◽  
Bernard Chawo Silenou ◽  
Juliane Doerrbecker ◽  
Carl Fourie ◽  
Carl Leitner ◽  
...  
Keyword(s):  
Disease Surveillance ◽  
Web Application ◽  
Health Workers ◽  
Digital Health ◽  
Community Support ◽  
Management Tool ◽  
Maturity Model ◽  
Outbreak Response ◽  
Health Community ◽  
Analysis System

BACKGROUND Digital health is a dynamic field that has been generating a large number of tools; many of these tools do not have the level of maturity required to function in a sustainable model. It is in this context that the concept of global goods maturity is gaining importance. Digital Square developed a global good maturity model (GGMM) for digital health tools, which engages the digital health community to identify areas of investment for global goods. The Surveillance Outbreak Response Management and Analysis System (SORMAS) is an open-source mobile and web application software that we developed to enable health workers to notify health departments about new cases of epidemic-prone diseases, detect outbreaks, and simultaneously manage outbreak response. OBJECTIVE The objective of this study was to evaluate the maturity of SORMAS using Digital Square’s GGMM and to describe the applicability of the GGMM on the use case of SORMAS and identify opportunities for system improvements. METHODS We evaluated SORMAS using the GGMM version 1.0 indicators to measure its development. SORMAS was scored based on all the GGMM indicator scores. We described how we used the GGMM to guide the development of SORMAS during the study period. GGMM contains 15 subindicators grouped into the following core indicators: (1) global utility, (2) community support, and (3) software maturity. RESULTS The assessment of SORMAS through the GGMM from November 2017 to October 2019 resulted in full completion of all subscores (10/30, (33%) in 2017; 21/30, (70%) in 2018; and 30/30, (100%) in 2019). SORMAS reached the full score of the GGMM for digital health software tools by accomplishing all 10 points for each of the 3 indicators on global utility, community support, and software maturity. CONCLUSIONS To our knowledge, SORMAS is the first electronic health tool for disease surveillance, and also the first outbreak response management tool, that has achieved a 100% score. Although some conceptual changes would allow for further improvements to the system, the GGMM already has a robust supportive effect on developing software toward global goods maturity.

scholarly journals A systematic review on improving implementation of the revitalised integrated disease surveillance and response system in the African region: a health workers' perspective

2020 ◽  
Author(s):  
Arthur Kipkemoi Saitabau Ng'etich ◽  
Kuku Voyi ◽  
Ruth C Kirinyet ◽  
Clifford M Mutero
Keyword(s):  
Systematic Review ◽  
Systematic Reviews ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Health Workers ◽  
Grey Literature ◽  
World Health ◽  
African Region ◽  
Specimen Handling ◽  
Surveillance And Response

Background: The revised integrated disease surveillance and response (IDSR) guidelines adopted by African member states in 2010 aimed at strengthening surveillance systems critical capacities. Milestones achieved through IDSR strategy implementation prior to adopting the revised guidelines are well documented, however, there is a dearth of knowledge on the progress made post-adoption. This study aimed to review key recommendations resulting from surveillance assessment studies to improve implementation of the revitalised IDSR system in the African region based on health workers perspectives. The review focused on literature published between 2010 and 2019 post-adopting the revised IDSR guidelines in the African region. Methods: A systematic literature search in PubMed, Web of Science and Cumulative Index for Nursing and Allied Health Literature was conducted. In addition, manual reference searches and grey literature searches using World Health Organization Library and Information Networks for Knowledge databases were undertaken. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement checklist for systematic reviews was utilised for the review process. Results: Thirty assessment studies met the inclusion criteria. IDSR implementation under the revised guidelines could be improved considerably bearing in mind critical findings and recommendations emanating from the reviewed surveillance assessment studies. Key recommendations alluded to provision of laboratory facilities and improved specimen handling, provision of reporting forms and improved reporting quality, surveillance data accuracy and quality, improved knowledge and surveillance system performance, utilisation of up-to-date information and surveillance system strengthening, provision of resources, enhanced reporting timeliness and completeness, adopting alternative surveillance strategies and conducting further research. Conclusion: Recommendations on strengthening IDSR implementation in the African region post-adopting the revised guidelines mainly identify surveillance functions focused on reporting, feedback, training, supervision, timeliness and completeness of the surveillance system as aspects requiring policy refinement. Systematic Review Registration: PROSPERO registration number CRD42019124108.

scholarly journals A systematic review on improving implementation of the revitalised integrated disease surveillance and response system in the African region: A health workers’ perspective

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248998
Author(s):  
Arthur K. S. Ng’etich ◽  
Kuku Voyi ◽  
Ruth C. Kirinyet ◽  
Clifford M. Mutero
Keyword(s):  
Systematic Review ◽  
Systematic Reviews ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Health Workers ◽  
Grey Literature ◽  
World Health ◽  
African Region ◽  
Specimen Handling ◽  
Surveillance And Response

Background The revised integrated disease surveillance and response (IDSR) guidelines adopted by African member states in 2010 aimed at strengthening surveillance systems critical capacities. Milestones achieved through IDSR strategy implementation prior to adopting the revised guidelines are well documented; however, there is a dearth of knowledge on the progress made post-adoption. This study aimed to review key recommendations resulting from surveillance assessment studies to improve implementation of the revitalised IDSR system in the African region based on health workers’ perspectives. The review focused on literature published between 2010 and 2019 post-adopting the revised IDSR guidelines in the African region. Methods A systematic literature search in PubMed, Web of Science and Cumulative Index for Nursing and Allied Health Literature was conducted. In addition, manual reference searches and grey literature searches using World Health Organisation Library and Information Networks for Knowledge databases were undertaken. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement checklist for systematic reviews was utilised for the review process. Results Thirty assessment studies met the inclusion criteria. IDSR implementation under the revised guidelines could be improved considerably bearing in mind critical findings and recommendations emanating from the reviewed surveillance assessment studies. Key recommendations alluded to provision of laboratory facilities and improved specimen handling, provision of reporting forms and improved reporting quality, surveillance data accuracy and quality, improved knowledge and surveillance system performance, utilisation of up-to-date information and surveillance system strengthening, provision of resources, enhanced reporting timeliness and completeness, adopting alternative surveillance strategies and conducting further research to improve surveillance functions. Conclusion Recommendations on strengthening IDSR implementation in the African region post-adopting the revised guidelines mainly identify surveillance functions focused on reporting, feedback, training, supervision, timeliness and completeness of the surveillance system as aspects requiring policy refinement. Systematic review registration PROSPERO registration number CRD42019124108.

scholarly journals The Surveillance Outbreak Response Management and Analysis System (SORMAS): Digital Health Global Goods Maturity Assessment

10.2196/15860 ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. e15860 ◽  
Author(s):  
Daniel Tom-Aba ◽  
Bernard Chawo Silenou ◽  
Juliane Doerrbecker ◽  
Carl Fourie ◽  
Carl Leitner ◽  
...  
Keyword(s):  
Disease Surveillance ◽  
Web Application ◽  
Health Workers ◽  
Digital Health ◽  
Community Support ◽  
Management Tool ◽  
Maturity Model ◽  
Outbreak Response ◽  
Health Community ◽  
Analysis System

Background Digital health is a dynamic field that has been generating a large number of tools; many of these tools do not have the level of maturity required to function in a sustainable model. It is in this context that the concept of global goods maturity is gaining importance. Digital Square developed a global good maturity model (GGMM) for digital health tools, which engages the digital health community to identify areas of investment for global goods. The Surveillance Outbreak Response Management and Analysis System (SORMAS) is an open-source mobile and web application software that we developed to enable health workers to notify health departments about new cases of epidemic-prone diseases, detect outbreaks, and simultaneously manage outbreak response. Objective The objective of this study was to evaluate the maturity of SORMAS using Digital Square’s GGMM and to describe the applicability of the GGMM on the use case of SORMAS and identify opportunities for system improvements. Methods We evaluated SORMAS using the GGMM version 1.0 indicators to measure its development. SORMAS was scored based on all the GGMM indicator scores. We described how we used the GGMM to guide the development of SORMAS during the study period. GGMM contains 15 subindicators grouped into the following core indicators: (1) global utility, (2) community support, and (3) software maturity. Results The assessment of SORMAS through the GGMM from November 2017 to October 2019 resulted in full completion of all subscores (10/30, (33%) in 2017; 21/30, (70%) in 2018; and 30/30, (100%) in 2019). SORMAS reached the full score of the GGMM for digital health software tools by accomplishing all 10 points for each of the 3 indicators on global utility, community support, and software maturity. Conclusions To our knowledge, SORMAS is the first electronic health tool for disease surveillance, and also the first outbreak response management tool, that has achieved a 100% score. Although some conceptual changes would allow for further improvements to the system, the GGMM already has a robust supportive effect on developing software toward global goods maturity.

Digital Home Health Care: Culture-Specific Observations in Saudi Arabia (Preprint)

2020 ◽  
Author(s):  
Abdulaziz A Alodhayani ◽  
Marwah Mazen Hassounah ◽  
Fatima R Qadri ◽  
Noura A Abouammoh ◽  
Zakiuddin Ahmed ◽  
...  
Keyword(s):  
Health Care ◽  
Saudi Arabia ◽  
Home Health Care ◽  
Health Program ◽  
Digital Health ◽  
Local Population ◽  
Family Members ◽  
Cultural Factors ◽  
Home Health ◽  
Design And Implementation

BACKGROUND There is growing evidence of the need to consider cultural factors in the design and implementation of digital health interventions. However, there is still inadequate knowledge pertaining to what aspects of the Saudi Arabian culture need to be considered in the design and implementation of digital health programs, especially in the context of home health care services for chronically and terminally ill patients. OBJECTIVE This study aims to explore the specific cultural factors relating to patients and their caregivers from the perspective of physicians, nurses, and trainers that have influenced the pilot implementation of Remotely Accessible Healthcare At Home (RAHAH); a connected health program in the Home Health Care Department at King Saud University Medical City, Riyadh, Saudi Arabia. METHODS A qualitative study design was adopted to conduct a focus group discussion (FGD) in July 2019 using a semi-structured interview guide with 3 female and 4 male participants working as nurses, family physicians, and information technologists. Qualitative data obtained were analyzed using a thematic framework analysis. RESULTS Two categories emerged from the FGD that influenced the experiences of digital health program intervention: (1) culture-related factors including language and communication, cultural views on using cameras during consultation, non-adherence to online consultations, and family role and commitment (2) caregiver characteristics in telemedicine that includes their skills and education and electronic literacy. Participants of this study revealed that indirect contact with the patients and their family members may work as a barrier to proper communication through RAHAH. CONCLUSIONS We recommend exploring the use of interpreters in digital health, creating awareness among the local population regarding privacy in digital health, and actively involving the direct family members with the healthcare providers.

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