Evaluation of the Universal Salt Iodization (USI) surveillance system in Tanzania, 2022.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 05 05 2023
accepted: 02 02 2024
medline: 19 4 2024
pubmed: 19 4 2024
entrez: 19 4 2024
Statut: epublish

Résumé

The evaluation of surveillance systems has been recommended by the World Health Organization (WHO) to identify the performance and areas for improvement. Universal salt iodization (USI) as one of the surveillance systems in Tanzania needs periodic evaluation for its optimal function. This study aimed at evaluating the universal salt iodization (USI) surveillance system in Tanzania from January to December 2021 to find out if the system meets its intended objectives by evaluating its attributes as this was the first evaluation of the USI surveillance system since its establishment in 2010. The USI surveillance system is key for monitoring the performance towards the attainment of universal salt iodization (90%). This evaluation was guided by the Center for Disease Control Guidelines for Evaluating Public Health Surveillance Systems, (MMWR) to evaluate USI 2021 data. The study was conducted in Kigoma region in March 2022. Both Purposive and Convenient sampling was used to select the region, district, and ward for the study. The study involved reviewing documents used in the USI system and interviewing the key informants in the USI program. Data analysis was done by Microsoft Excel and presented in tables and graphs. A total of 1715 salt samples were collected in the year 2021 with 279 (16%) of non-iodized salt identified. The majority of the system attributes 66.7% had a good performance with a score of three, 22.2% had a moderate performance with a score of two and one attribute with poor performance with a score of one. Data quality, completeness and sensitivity were 100%, acceptability 91.6%, simplicity 83% were able to collect data on a single sample in < 2 minutes, the system stability in terms of performance was >75% and the usefulness of the system had poor performance. Although the system attributes were found to be working overall well, for proper surveillance of the USI system, the core attributes need to be strengthened. Key variables that measure the system performance must be included from the primary data source and well-integrated with the Local Government (district and regions) to Ministry of Health information systems.

Sections du résumé

BACKGROUND BACKGROUND
The evaluation of surveillance systems has been recommended by the World Health Organization (WHO) to identify the performance and areas for improvement. Universal salt iodization (USI) as one of the surveillance systems in Tanzania needs periodic evaluation for its optimal function. This study aimed at evaluating the universal salt iodization (USI) surveillance system in Tanzania from January to December 2021 to find out if the system meets its intended objectives by evaluating its attributes as this was the first evaluation of the USI surveillance system since its establishment in 2010. The USI surveillance system is key for monitoring the performance towards the attainment of universal salt iodization (90%).
METHODOLOGY METHODS
This evaluation was guided by the Center for Disease Control Guidelines for Evaluating Public Health Surveillance Systems, (MMWR) to evaluate USI 2021 data. The study was conducted in Kigoma region in March 2022. Both Purposive and Convenient sampling was used to select the region, district, and ward for the study. The study involved reviewing documents used in the USI system and interviewing the key informants in the USI program. Data analysis was done by Microsoft Excel and presented in tables and graphs.
RESULTS RESULTS
A total of 1715 salt samples were collected in the year 2021 with 279 (16%) of non-iodized salt identified. The majority of the system attributes 66.7% had a good performance with a score of three, 22.2% had a moderate performance with a score of two and one attribute with poor performance with a score of one. Data quality, completeness and sensitivity were 100%, acceptability 91.6%, simplicity 83% were able to collect data on a single sample in < 2 minutes, the system stability in terms of performance was >75% and the usefulness of the system had poor performance.
CONCLUSION CONCLUSIONS
Although the system attributes were found to be working overall well, for proper surveillance of the USI system, the core attributes need to be strengthened. Key variables that measure the system performance must be included from the primary data source and well-integrated with the Local Government (district and regions) to Ministry of Health information systems.

Identifiants

pubmed: 38640102
doi: 10.1371/journal.pone.0299025
pii: PONE-D-23-13593
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0299025

Informations de copyright

Copyright: © 2024 Mahwera et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

David Mahwera (D)

Department of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar es salaam, Tanzania.
Tanzania Field Epidemiology and Laboratory Training Program, Tanzania.

Erick Killel (E)

Department of Community Health and Nutrition, Tanzania Food and Nutrition Centre, Dar es salaam, Tanzania.

Ninael Jonas (N)

Department of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar es salaam, Tanzania.
Tanzania Field Epidemiology and Laboratory Training Program, Tanzania.

Adam Hancy (A)

Department of Nutrition Policy and Planning, Tanzania Food and Nutrition Center, Dar es salaam, Tanzania.

Anna Zangira (A)

Department of Community Health and Nutrition, Tanzania Food and Nutrition Centre, Dar es salaam, Tanzania.

Aika Lekey (A)

Department of Community Health and Nutrition, Tanzania Food and Nutrition Centre, Dar es salaam, Tanzania.

Rose Msaki (R)

Department of Community Health and Nutrition, Tanzania Food and Nutrition Centre, Dar es salaam, Tanzania.

Doris Katana (D)

Department of Nutrition Education and Training, Tanzania Food and Nutrition Centre, Dar es salaam, Tanzania.

Rogath Kishimba (R)

Tanzania Field Epidemiology and Laboratory Training Program, Tanzania.
Ministry of Health, Dodoma, Tanzania.

Debora Charwe (D)

Department of Nutrition Policy and Planning, Tanzania Food and Nutrition Center, Dar es salaam, Tanzania.

Fatma Abdallah (F)

Department of Community Health and Nutrition, Tanzania Food and Nutrition Centre, Dar es salaam, Tanzania.

Geofrey Chiduo (G)

Department of Nutrition Policy and Planning, Tanzania Food and Nutrition Center, Dar es salaam, Tanzania.

Ray Masumo (R)

Department of Community Health and Nutrition, Tanzania Food and Nutrition Centre, Dar es salaam, Tanzania.

Germana Leyna (G)

Department of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar es salaam, Tanzania.
Department of Community Health and Nutrition, Tanzania Food and Nutrition Centre, Dar es salaam, Tanzania.

Geofrey Mchau (G)

Department of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar es salaam, Tanzania.
Tanzania Field Epidemiology and Laboratory Training Program, Tanzania.
Department of Community Health and Nutrition, Tanzania Food and Nutrition Centre, Dar es salaam, Tanzania.

Classifications MeSH