Combining Quantitative and Qualitative Approaches in Herd Health Management
Author Information
Author(s): Kristensen Erling, Nielsen Dorte B, Jensen Laila N, Vaarst Mette, Enevoldsen Carsten
Primary Institution: StrateKo Aps, University of Copenhagen, University of Aarhus
Hypothesis
Can integrating qualitative methods improve the validity of quantitative data in herd health management?
Conclusion
Integrating qualitative perspectives into quantitative studies can enhance the understanding of herd health management and improve data validity.
Supporting Evidence
- Quantitative data showed a skewed distribution of herd incidence risks for metritis.
- Veterinarians reported varying criteria for diagnosing and treating metritis.
- Qualitative interviews revealed biases in data collection and decision-making processes.
Takeaway
This study shows that using both numbers and talking to people can help us understand cow health better. It’s like asking questions and checking facts to get the full picture.
Methodology
The study used a mixed methods approach, combining quantitative observational data from the Danish Cattle Database with qualitative interviews of veterinarians.
Potential Biases
Potential biases include underreporting and variability in veterinarians' decision-making processes.
Limitations
The study may be limited by biases in data collection and the subjective nature of qualitative responses.
Participant Demographics
Participants included 20 veterinarians from 53 different veterinary practices in Denmark.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website