ArticleJournal of the American Medical Informatics Association : JAMIA2019
Challenges and lessons learned in promoting adoption of standardized local public health service delivery data through the application of the Public Health Activities and Services Tracking model.
Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Big Data Analytics Using Cloud Computing Based Frameworks for Power Management Systems: Status, Constraints, and Future Recommendations.Sensors (Basel, Switzerland) · 2023Review
- Analytic approaches to assess the impact of local spending on sexually transmitted diseases.Health services research · 2022Article
- Identifying Spatial Matching between the Supply and Demand of Medical Resource and Accessing Carrying Capacity: A Case Study of Shenzhen, China.International journal of environmental research and public health · 2022Article
- Fairness of the Distribution of Public Medical and Health Resources.Frontiers in public health · 2021Review
- Data, capacity-building, and training needs to address rural health inequities in the Northwest United States: a qualitative study.Journal of the American Medical Informatics Association : JAMIA · 2019Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Population-level prevention activities are often publicly invisible and excluded in planning and policymaking. This creates an incomplete picture of prevention service-related inputs, particularly at the local level. We describe the process and lessons learned by the Public Health Activities and Services Tracking team in promoting adoption of standardized service delivery measures developed to assess public health inputs and guide system transformations. The 3 factors depicted in our Public Health Activities and Services Tracking model-data need and use, data access, and standardized measures-must be realized to promote collection of standard public health system data. Bureaucratic, resource, system, and policy challenges hampered our efforts toward adoption of the standardized measures we promoted. Substantial investments of time, resources, and coordination appear necessary for systems to adopt changes needed for collecting comparable service delivery data. Lessons from our process of promoting adoption of standardized measures provide recommendations to support future efforts to measure public health system contributions to the public's health.
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