| Literature DB >> 35655676 |
Moussa Haladou1, Blanche-Philomene Melanga Anya1, Batouré Oumarou1, Ishagh El Khalef1, Joseph Nsiari-Muzeyi Biey2, Hamidou Harouna3, Patrick Katoto4,5,6, Charles Shey Wiysonge6,7,8.
Abstract
The implementation of electronic data collection during supportive supervision visits (ISS) using the Open Data Kits (ODK) Collection in Niger has provided a factual basis for monitoring the performance of the Polio eradication program (PEP) and the immunization program. With the notification of the first case of COVID-19 on 19 March 2020, there was a rapid need for quality knowledge to monitor the pandemic. For the first time in Niger, we initiated a six-month (May to October 2020) joint ISS-COVID-19 surveillance program to improve and monitor healthcare workers' performance to efficiently investigate COVID-19 cases in eight provinces. Overall, 1,378 ISS visits were performed through 390 health facilities, during which 4,638 health workers were trained and 527,151 medical records were reviewed, of which 28 suspected cases of COVID-19 were found. Field visits for contact tracing in their communities were accomplished and closed monitoring ensured until full recovery. Building on the tradition of PEP, a problem-solving process, feedback and on-the-job training on COVID-19 surveillance is set to enhance notification in the coming weeks and months. This is facilitated by accurate use of ODK Collect for real-time data surveillance successfully implemented. Other topics in the briefing included fundamentals of infection prevention and control for COVID-19 for both health professionals and community leaders. From this experience, the ISS has emerged as a key component of COVID-19 surveillance, especially in regions with a fragile health system. Our observation is a step forward for pragmatic interventional studies. Copyright: Moussa Haladou et al.Entities:
Keywords: Poliomyelitis eradication; SARS-CoV-2; surveillance; workforce development
Mesh:
Year: 2022 PMID: 35655676 PMCID: PMC9120750 DOI: 10.11604/pamj.2022.41.187.26820
Source DB: PubMed Journal: Pan Afr Med J
Figure 1maps of Africa showing Niger. Note: reds dots represent individual data collected via open data collect
problems identification, supportive measures and results obtained to strengthen active COVID-19 case findings at health care facilities level
| Region | ISS Visits without COVID-19 Surveillance N (%) | ISS Visits with COVID-19 Surveillance N (%) | Total ISS Visits N (%) |
|---|---|---|---|
| Zinder | 101 (30.1) | 235 (69.9) | 336 (24.4) |
| Tahoua | 119 (43.3) | 156 (56.7) | 275 (20.0) |
| Diffa | 81 (41.5) | 114 (58.5) | 195 (14.2) |
| Maradi | 12 (6.45) | 174 (93.5) | 186 (13.5) |
| Tillaberi | 3 (2.5) | 117 (97.5) | 120 (8.7) |
| Agadez | 13 (12.9) | 88 (87.1) | 101 (7.3) |
| Dosso | 34 (40.0) | 51 (60.0) | 85 (6.2) |
| Niamey | 16 (20.0) | 64 (80.0) | 80 (5.8) |
| Total | 379 (27.5) | 999 (72.50) | 1,378 (100) |
ISS: integrated supportive supervisory
Figure 2monthly integrated supportive supervisory visits conducted from May to October 2020 in Niger
Figure 3display of conducted integrated supportive supervisory visits by type of health structures visited (n=1378)
Figure 4integrated supportive supervisory visits carried out according to the type of health structures attendance (n=1378)
integrated supportive supervisory visits across eight regions in Niger from May to June 2020 (n=190): problem’s identification, supportive measures and results obtained to strengthen active COVID-19 case findings at health care facilities level
| Region | Major Problems Identified | On-the-job training/Corrective Actions | Results |
|---|---|---|---|
| Agadez | * Poor knowledge of COVID-19 surveillance procedures by HCF managers | * Intensification of remote area supervision missions to reach HCF managers | Appropriation of COVID 19 surveillance by health workers with case notification |
| * Low GSM coverage: no access to updates on COVID-19 | * Refreshing case definitions, roles, and responsibility of HW in COVID-19 surveillance | ||
| Diffa | *Dysfunction of the ODK tool | *Interaction with the national level and WHO Africa for a downable form | *Installing the tools and carrying out visits using the ODK Tool |
| *Inadequate funding for ISS exits | *Submission of Reference Terms for 5-day outings in July 2020. | ||
| *Conducting 52 visits | |||
| *Inadequate staff training (case definition) | *Officers' awareness of COVID-19 cases definition and procedures for reporting and investigating suspected cases | ||
| Dosso | * Logistic issue with STOP TEAM | * Problem raised during the meeting with WHO representative | *Problem solved |
| * Delay in setting up funds for the implementation of community-based surveillance | * Request sent 2 weeks ago | *Request pending | |
| *Decrease in active surveillance | |||
| *Funds sent systematically by the central level | |||
| * Delay in setting up funds to health districts for integrated active surveillance of AFP | |||
| Niamey | * Decrease in patient attendance at HCF | * Raising community awareness by CHW | *Gradual resumption of patients’ attendance |
| *District managing teams trained on COVID-19 monitoring | |||
| * Not systematic use of COVID-19 case definition by health care providers | * Training/refreshing on the use of case definitions | ||
| *Active search with ODK started in Niamey District 5, pilot district | |||
| *Practical work on COVID-19 surveillance using ODK Collect Tool | |||
| Maradi | *Low number of HW trained on COVID-19 surveillance | *Training when visiting priority sites | *Appropriation of active COVID 19 surveillances by HW. |
| *Improvement of surveillance indicators | |||
| *Drafting case definition posters | |||
| * Hard to train 5 HCF around conflict zones. (Border with Nigeria) | |||
| Tahoua | * Logistical issues (cars, motorbikes) since early June 2020 | * Temporary use of other district service vehicles during integrated supervision | * Implementation of surveillance activities in some structures in the region. |
| * Lack of human resources (one staff) | * Information sent to the hierarchy (WHO) for the resolution of the logistical problem | * Commitment by stakeholders to improve the use of ODK | |
| * Delay in making outflow funds available | |||
| * Inadequate use of ODK tool by district actors when visiting sites | * Local actors recalled for effective use of ODK by the regional directorate of public health | ||
| * Field visits with the head of the Health Programming and Information Service and the heads of the Epidemiological Surveillance Centers of visited districts | |||
| Tillabéri Municipality | * Non-systematic wearing of mask during patients visit | *Refresh on IPC (modes of transmission, highlight of droplets kinetic during sneezing or coughing). | HWs wear mask and appear to have clearly perceived it usefulness |
| * Inadequate systematic awareness on COVID-19 of people attending HCF | * A reminder of the importance of communication, mainly regarding preventive measures (social distancing, wearing mask, hand washing, opening windows) | *Commitment by HW to raise awareness | |
| Zinder | * Unsatisfactory effort by government | *Update of the situation to the national surveillance supervisors | Request pending |
| * Inadequate funding from the heads of the sub-office (national professional officer) | *Option to use emergency funds |
Abbreviations: HCF: health care facility; HWs: health workers; CHW: community health worker; WHO: world health organisation; AFP: acute flaccid paralysis: STOP TEAM: The Stop Transmission of Polio (STOP) program; ODK: open Data Kit.