Geographic and socioeconomic influence on knowledge and practices related to antimicrobial resistance among smallholder pig farmers in Uganda

SND-ID: 2021-344

Creator/Principal investigator(s)

Ulf Magnusson - Swedish University of Agricultural Sciences, Department of Clinical Sciences orcid

Michel Mainack Dione - International Livestock Research Institute (ILRI) orcid

Description

To mitigate the development of antimicrobial resistance (AMR), antibiotic use (ABU) in the livestock sector needs to be reduced. In low- and middle-income countries, regulations have shown to be less successful in reducing ABU. Here, a bottom-up approach can complement legal frameworks which requires an understanding of the drivers for ABU. In this study, we investigated the influence of geographic and socioeconomic settings on determinants for ABU among pig farmers in Uganda. The data was collected through a questionnaire (containing 75 questions) in two districts, Lira and Mukono, and comparative statistical analyses were performed. Farmers in Lira had lower access to animal health services, applied disease preventive measures less and used antibiotics more. In Mukono, it was more common to consult a veterinarian in response to disease, while it in Lira was more common to consult an animal health worker. There was no difference in how many that followed treatment instructions from a veterinarian, but it was more common in Lira to follow instructions from pharmacies. The findings support the

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Language

English

Research principal, contributors, and funding

Principal's reference number

SLU.ua.2017.2.6-2943

Contributor(s)

Sandra Nohrborg - Swedish University of Agricultural Sciences, Department of Clinical Sciences orcid

Funding

  • Funding agency: CGIAR Trust Fund via the CGIAR Research Program on Livestock rorId
  • Project name on the application: Animal Health Flagship
Protection and ethical review

Data contains personal data

Yes

Type of personal data

The data is pseudonymised. It contains id numbers and by the means of a preserved code key those numbers can be linked to the coordinates of the investigated farms. The farm coordinates together with information about the respondents age, gender, educational level etc. could possibly lead to identification of the respondents.

Code key exists

Yes

Method and time period

Unit of analysis

Population

Smallholder pig farmers in two districts (Lira and Mukono) in Uganda

Time Method

Sampling procedure

Mixed probability and non-probability
The target population of the study was pig farmers (male and female) in Lira and Mukono districts. District Veterinary Officers (DVO) from both districts were informed prior to the study to identify top four sub-counties with highest pig population density to serve as sampling frame. In each sub-county, two villages were randomly selected for the study making a total of eight villages per district and 16 villages in total. From each village, 30 farmers were randomly selected to be enrolled in the study. This resulted in a total sample of 240 farmers from Lira and 242 from Mukono.

Time period(s) investigated

2018-08-13 – 2018-09-10

Geographic coverage

Geographic spread

Geographic location: Uganda

Geographic description: Two districts in Uganda: Lira and Mukono

Publications

Nohrborg S., Dione M.M., Winfred A.C., Okello L., Wieland B., Magnusson U. (2022). Geographic and socioeconomic influence on knowledge and practices related to antimicrobial resistance among smallholder pig farmers in Uganda. Antibiotics. 2022;11(2):251.
DOI: https://doi.org/10.3390/antibiotics11020251

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Dataset
Access to services and drugs, and practices and knowledge related to antimicrobial resistance, among smallholder pig farmers in Uganda

Description

The questionnaire was administered and recorded electronically on tablets using Open Data Kit (ODK) (https://getodk.org), an open-source tool for smart devices (i.e., smartphone or tablet) that enables creation and use of electronic questionnaires. The data collection through ODK was backed up daily.

The dataset contains 72 columns and 463 rows.

For explanations of the variables, see the separate file "AMUSE_Uganda_2022_dataset_Explanations". For explanations of the answer options, see the sep

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Data format / data structure

Numeric

Text

Creator/Principal investigator(s)

Ulf Magnusson - Swedish University of Agricultural Sciences, Department of Clinical Sciences orcid

Michel Mainack Dione - International Livestock Research Institute (ILRI) orcid

Time period(s) investigated

2018-08-13 – 2018-09-10

Data collection

  • Mode of collection: Interview
  • Time period(s) for data collection: 2018-08-13–2018-09-10
  • Data collector: International Livestock Research Institute
  • Instrument: Open Data Kit (ODK)
  • Source of the data: Population group

Variables

72

Number of individuals/objects

463

Response rate/participation rate

100%

Published: 2022-02-16